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file_name=biomedica_00204329.jpg caption=Lymphoma development and mean lifespan were quoted for 61 double mutant α1KI c-myc3′RR transgenic mice, 34 single mutant α1KI homozygous mice and 22 single mutant c-myc3′RR animals. The overall tumor incidence in double mutant animals was 48% before 34 weeks of age. As expected by comparison to α1KI mice not susceptible to lymphoma, α1KI c-myc3′RR mice showed significantly increased mortality (Gehan Breslow Wilcoxon test, p <0.0001) that resulted from c-myc-driven tumor development, with the mean age of death at about 39 weeks (Fig ="fig" "oncotarget-05-8995-g001">1A ). This was significantly below the mortality observed in ). This was significantly below the mortality observed in c-myc3′RR single transgenic mice (Gehan Breslow Wilcoxon test, p <0.001), among which 80% had developed tumors before 34 weeks of age (with mean age of death at 27 weeks). At necropsy, the α1KI c-myc3′RR had enlarged spleens, LNs and eventually liver (Fig ="fig" "oncotarget-05-8995-g001">1B ). All mice with t source=biomedica enhanced_caption=O: Lymphoma development and mean lifespan were quoted for 61 double mutant α1KI c-myc3′RR transgenic mice, 34 single mutant α1KI homozygous mice and 22 single mutant c-myc3′RR animals. The overall tumor incidence in double mutant animals was 48% before 34 weeks of age. As expected by comparison to α1KI mice not susceptible to lymphoma, α1KI c-myc3′RR mice showed significantly increased mortality (Gehan Breslow Wilcoxon test, p <0.0001) that resulted from c-myc-driven tumor development, with the mean age of death at about 39 weeks (Fig ="fig" "oncotarget-05-8995-g001">1A ). This was significantly below the mortality observed in ). This was significantly below the mortality observed in c-myc3′RR single transgenic mice (Gehan Breslow Wilcoxon test, p <0.001), among which 80% had developed tumors before 34 weeks of age (with mean age of death at 27 weeks). At necropsy, the α1KI c-myc3′RR had enlarged spleens, LNs and eventually liver (Fig ="fig" "oncotarget-05-8995-g001">1B ). All mice wit think=<think>Visual findings present in image → Clinical correlation needed → ICD D49.9 assigned → Moderate uncertainty due to limited context</think> icd_code=D49.9 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00622325.jpg caption=The Gene Ontology (GO) enrichment analysis was performed to attribute the biological functions of detected DEGs. This analysis enabled categorization of DEGs into three GO groups: biological processes (BP), cellular components (CC) and molecular functions (MF). "ijms-23-08232-g003" ="fig">Figure 3 summarizes results obtained for all three GO categories (top 20 enriched GO terms). The highest number of DEGs in exponential growth phase was found to be involved in ion binding (n = 266), small molecule metabolic process (n = 154) and transmembrane transporter activity (n = 87), but after correction of summarizes results obtained for all three GO categories (top 20 enriched GO terms). The highest number of DEGs in exponential growth phase was found to be involved in ion binding (n = 266), small molecule metabolic process (n = 154) and transmembrane transporter activity (n = 87), but after correction of p value only the RNA binding (MF) and small molecule metabolic process (BP) were recogniz source=biomedica enhanced_caption=O: The Gene Ontology (GO) enrichment analysis was performed to attribute the biological functions of detected DEGs. This analysis enabled categorization of DEGs into three GO groups: biological processes (BP), cellular components (CC) and molecular functions (MF). "ijms-23-08232-g003" ="fig">Figure 3 summarizes results obtained for all three GO categories (top 20 enriched GO terms). The highest number of DEGs in exponential growth phase was found to be involved in ion binding (n = 266), small molecule metabolic process (n = 154) and transmembrane transporter activity (n = 87), but after correction of summarizes results obtained for all three GO categories (top 20 enriched GO terms). The highest number of DEGs in exponential growth phase was found to be involved in ion binding (n = 266), small molecule metabolic process (n = 154) and transmembrane transporter activity (n = 87), but after correction of p value only the RNA binding (MF) and small molecule metabolic process (BP) were recog think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00768547.jpg caption=The plants evaluated for trichomes were grown in a growth chamber, under the same conditions as those for the transformation, at 25°C under long-day conditions (16 h Light/8 h Dark) at a light intensity of 60 μmol m-2 s-1. The trichomes on the frontside and backside of the leaves of the T1 plants were observed visually. Leaves of plants with different densities of trichomes were photographed under a fluorescent stereomicroscope (Leica M165 FC) ( "fpls-13-951660-g002" ="fig"> <bold>Figure 2</bold> ).Figure 2 ). The self-pollinated seeds from four T0 plants with double mutations (one with <10 self-pollinated seeds were not used) were collected for phenotypic evaluation. The leaf trichome formation in the T1 generation plants was observed visually, and the numbers of hairless and hairy plants were counted ( Table 3 ). Hairless phenotypes were obtained in the progenies of all four T0 plants, wherein the hairy phenotype was not observed in plants #4 and #5. T-DNA negatives (null-segregant) source=biomedica enhanced_caption=O: The plants evaluated for trichomes were grown in a growth chamber, under the same conditions as those for the transformation, at 25°C under long-day conditions (16 h Light/8 h Dark) at a light intensity of 60 μmol m-2 s-1. The trichomes on the frontside and backside of the leaves of the T1 plants were observed visually. Leaves of plants with different densities of trichomes were photographed under a fluorescent stereomicroscope (Leica M165 FC) ( "fpls-13-951660-g002" ="fig"> <bold>Figure 2</bold> ).Figure 2 ). The self-pollinated seeds from four T0 plants with double mutations (one with <10 self-pollinated seeds were not used) were collected for phenotypic evaluation. The leaf trichome formation in the T1 generation plants was observed visually, and the numbers of hairless and hairy plants were counted ( Table 3 ). Hairless phenotypes were obtained in the progenies of all four T0 plants, wherein the hairy phenotype was not observed in plants #4 and #5. T-DNA negatives (null-segregan think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=71yo Asian male
file_name=biomedica_00737811.jpg caption=Figure ="fig" "1471-2105-14-59-4">4 contains the interactions from GeneGO Pathway Map: Cytoskeleton Remodeling - Integrin Inside Out Signaling, overlaid with the extra interactions detected using the full parameter approach. contains the interactions from GeneGO Pathway Map: Cytoskeleton Remodeling - Integrin Inside Out Signaling, overlaid with the extra interactions detected using the full parameter approach. source=biomedica enhanced_caption=O: Figure ="fig" "1471-2105-14-59-4">4 contains the interactions from GeneGO Pathway Map: Cytoskeleton Remodeling - Integrin Inside Out Signaling, overlaid with the extra interactions detected using the full parameter approach. contains the interactions from GeneGO Pathway Map: Cytoskeleton Remodeling - Integrin Inside Out Signaling, overlaid with the extra interactions detected using the full parameter approach. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00121934.jpg caption=We previously suggested that IL-10-producing Breg cells are associated with fetal protection (8). Here, we first sought to determine the frequencies and cell numbers of total B cells with the capacity to produce IL-10 after in vitro stimulation of mononuclear cells obtained from the spleen and peritoneum of virgin and pregnant females. We found no significant alterations in the frequencies and cell numbers of splenic CD19+ B cells with the ability to produce IL-10 throughout normal pregnancies (Figure ="fig" "fimmu-09-01045-g001">1 A; Figure S1A in Supplementary Material). By contrast, the frequencies and cell numbers of peritoneal CD19A; Figure S1A in Supplementary Material). By contrast, the frequencies and cell numbers of peritoneal CD19+ B cells with the capability to produce IL-10 increased significantly in the pre-implantation period, peaked around implantation and declined significantly thereafter (Figure ="fig" "fimmu-09-01045-g001">1 B; Figure S1B in Supplementary Material). W source=biomedica enhanced_caption=O: We previously suggested that IL-10-producing Breg cells are associated with fetal protection (8). Here, we first sought to determine the frequencies and cell numbers of total B cells with the capacity to produce IL-10 after in vitro stimulation of mononuclear cells obtained from the spleen and peritoneum of virgin and pregnant females. We found no significant alterations in the frequencies and cell numbers of splenic CD19+ B cells with the ability to produce IL-10 throughout normal pregnancies (Figure ="fig" "fimmu-09-01045-g001">1 A; Figure S1A in Supplementary Material). By contrast, the frequencies and cell numbers of peritoneal CD19A; Figure S1A in Supplementary Material). By contrast, the frequencies and cell numbers of peritoneal CD19+ B cells with the capability to produce IL-10 increased significantly in the pre-implantation period, peaked around implantation and declined significantly thereafter (Figure ="fig" "fimmu-09-01045-g001">1 B; Figure S1B in Supplementary Material) think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=28yo South Asian female
file_name=biomedica_00599448.jpg caption=We observed that 85% of affected dogs from the GWAS were homozygous for the risk allele, compared to only 19% of controls, indicating that homozygosity for the chromosome 12 locus is a strong risk factor. We therefore delimited a narrower interval of 648 kb, wherein a maximum number of affected individuals are homozygous for the risk haplotype, defined by four heterozygous individuals to the centromeric end and three telomerically ( "pgen.1010044.g004" ="fig">Fig 4 ). Filtering to retain homozygous variants present in the three CIM genomes and absent from a publicly-available male GSD genome lacking the risk haplotype yielded 577 variants. Of these, 21 were in intronic or untranslated regions of ). Filtering to retain homozygous variants present in the three CIM genomes and absent from a publicly-available male GSD genome lacking the risk haplotype yielded 577 variants. Of these, 21 were in intronic or untranslated regions of Melanin-Concentrating Hormone Receptor 2 (MCHR2, ENSCAFG0000 source=biomedica enhanced_caption=O: We observed that 85% of affected dogs from the GWAS were homozygous for the risk allele, compared to only 19% of controls, indicating that homozygosity for the chromosome 12 locus is a strong risk factor. We therefore delimited a narrower interval of 648 kb, wherein a maximum number of affected individuals are homozygous for the risk haplotype, defined by four heterozygous individuals to the centromeric end and three telomerically ( "pgen.1010044.g004" ="fig">Fig 4 ). Filtering to retain homozygous variants present in the three CIM genomes and absent from a publicly-available male GSD genome lacking the risk haplotype yielded 577 variants. Of these, 21 were in intronic or untranslated regions of ). Filtering to retain homozygous variants present in the three CIM genomes and absent from a publicly-available male GSD genome lacking the risk haplotype yielded 577 variants. Of these, 21 were in intronic or untranslated regions of Melanin-Concentrating Hormone Receptor 2 (MCHR2, ENSCAFG0 think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=28yo South Asian female
file_name=biomedica_00006460.jpg caption=Based on the observations that: (1) STAT3 is aberrantly active in gastric cancer cell lines; (2) KL-6 showed potent anticancer activities towards gastric cancer cell lines involving antiproliferation, antimetastasis, apoptosis-inducing, and suppression of colony-forming; (3) STAT3 has been reported as one of the pharmacological targets of chalcone scaffold, we therefore explored whether the anticancer properties of KL-6 may be related to the blockade of STAT3 signalling pathway. A western blot assay was performed to investigate the expression level of total STAT3 and phosphorylated STAT3 (p-STAT3) after incubation of various concentrations (1, 2, and 5 μM) of compound KL-6 with MKN1 cells for 24 h. As expected, KL-6 markedly suppressed STAT3 phosphorylation (p-STAT3Y705) in a concentration-dependent manner without significant effect on total STAT3 protein level ( "IENZ_A_2100366_F0006_B" ="fig">Figure 6 ). Furthermore, KL-6 was much more potent than the positive STAT3 inhibitor C188-9 source=biomedica enhanced_caption=O: Based on the observations that: (1) STAT3 is aberrantly active in gastric cancer cell lines; (2) KL-6 showed potent anticancer activities towards gastric cancer cell lines involving antiproliferation, antimetastasis, apoptosis-inducing, and suppression of colony-forming; (3) STAT3 has been reported as one of the pharmacological targets of chalcone scaffold, we therefore explored whether the anticancer properties of KL-6 may be related to the blockade of STAT3 signalling pathway. A western blot assay was performed to investigate the expression level of total STAT3 and phosphorylated STAT3 (p-STAT3) after incubation of various concentrations (1, 2, and 5 μM) of compound KL-6 with MKN1 cells for 24 h. As expected, KL-6 markedly suppressed STAT3 phosphorylation (p-STAT3Y705) in a concentration-dependent manner without significant effect on total STAT3 protein level ( "IENZ_A_2100366_F0006_B" ="fig">Figure 6 ). Furthermore, KL-6 was much more potent than the positive STAT3 inhibitor C188 think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00715030.jpg caption=No significant improvements in the proportions of muscle fiber types were detected in any of the analyzed muscles in the mice treated with the polyphenolic compounds (Table 2 and ="fig" "molecules-26-04904-g002">Figure 2 A,B). Importantly, the areas of both type I and type II fibers were significantly greater in the gastrocnemius and soleus muscles of cachectic mice treated with either curcumin or resveratrol than in nontreated cachectic rodents (A,B). Importantly, the areas of both type I and type II fibers were significantly greater in the gastrocnemius and soleus muscles of cachectic mice treated with either curcumin or resveratrol than in nontreated cachectic rodents (Table 2 and ="fig" "molecules-26-04904-g002">Figure 2 A,B). The proportions of muscle abnormalities, including the proportions of internal nuclei and inflammatory cells, were significantly lower in the gastrocnemius and soleus of the cachectic mice treated with either curcumin or resveratrol compared to nontreated cac source=biomedica enhanced_caption=O: No significant improvements in the proportions of muscle fiber types were detected in any of the analyzed muscles in the mice treated with the polyphenolic compounds (Table 2 and ="fig" "molecules-26-04904-g002">Figure 2 A,B). Importantly, the areas of both type I and type II fibers were significantly greater in the gastrocnemius and soleus muscles of cachectic mice treated with either curcumin or resveratrol than in nontreated cachectic rodents (A,B). Importantly, the areas of both type I and type II fibers were significantly greater in the gastrocnemius and soleus muscles of cachectic mice treated with either curcumin or resveratrol than in nontreated cachectic rodents (Table 2 and ="fig" "molecules-26-04904-g002">Figure 2 A,B). The proportions of muscle abnormalities, including the proportions of internal nuclei and inflammatory cells, were significantly lower in the gastrocnemius and soleus of the cachectic mice treated with either curcumin or resveratrol compared to nontreated think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00436402.jpg caption=The wrist device of PACT v2.0 system [33] was employed for capturing hand gestures associated with both smoking and non-smoking activities. This low-cost module contained a 6-axial IMU (LSM6DS3, STMicroelectronics, Geneva, Switzerland) interfaced with an STM32L151RD processor (STMicroelectronics, Dallas, TX, USA). The sensor data were stored on a 4 GB Micro-SD card accessible via USB interface. The accelerometer and gyroscope were configured to have a ±8 g and ±2000 degrees/s measurement range, respectively, with 16 bits of resolution to prevent sensor saturation during sporting activities that can show angular velocity up to 450 degrees/s [38] and acceleration up to several g, where g=9.8 m/s2 is the gravitational acceleration. The IMU was sampled at a frequency of 100 Hz. ="fig" "sensors-19-00570-g001">Figure 1 shows the sensor orientation (accelerometer axes) of the hand module placed on the left wrist; this same positioning was also used for right-handed person. shows the sensor or source=biomedica enhanced_caption=O: The wrist device of PACT v2.0 system [33] was employed for capturing hand gestures associated with both smoking and non-smoking activities. This low-cost module contained a 6-axial IMU (LSM6DS3, STMicroelectronics, Geneva, Switzerland) interfaced with an STM32L151RD processor (STMicroelectronics, Dallas, TX, USA). The sensor data were stored on a 4 GB Micro-SD card accessible via USB interface. The accelerometer and gyroscope were configured to have a ±8 g and ±2000 degrees/s measurement range, respectively, with 16 bits of resolution to prevent sensor saturation during sporting activities that can show angular velocity up to 450 degrees/s [38] and acceleration up to several g, where g=9.8 m/s2 is the gravitational acceleration. The IMU was sampled at a frequency of 100 Hz. ="fig" "sensors-19-00570-g001">Figure 1 shows the sensor orientation (accelerometer axes) of the hand module placed on the left wrist; this same positioning was also used for right-handed person. shows the sensor think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00762005.jpg caption=To validate the reliability of the expression profiles obtained from RNA-Seq, we selected sixteen DEGs for quantitative real-time PCR (qRT-PCR). Notably, the expressed trends between Q-PCR data and RNA-seq data were consistent generally (Fig. "12864_2016_2484_Fig7_HTML" ="fig">7 , Additional files , Additional files 3, 4 and 5). Selected hormone signaling-related genes encoding receptors and response factors, identified from KEGG pathway analysis, were shown (Fig. "12864_2016_2484_Fig7_HTML" ="fig">7a , , "12864_2016_2484_Fig7_HTML" ="fig">c -- "12864_2016_2484_Fig7_HTML" ="fig">d , Additional file , Additional file 4). The most obvious physiological effect of auxin is the promotion of organ and whole plant growth, which requires auxin transportation and signal transduction. Auxin transporters identified from the apple genome, MrPIN1 (MDP0000138035), two AUXIN-RESIST-ANT1 (MrAUX1; MDP0000155113, MDP0000s749280) and one NO VEIN (MrNOV; MDP0000806699) were repressed in grafted MB (Fig. " source=biomedica enhanced_caption=O: To validate the reliability of the expression profiles obtained from RNA-Seq, we selected sixteen DEGs for quantitative real-time PCR (qRT-PCR). Notably, the expressed trends between Q-PCR data and RNA-seq data were consistent generally (Fig. "12864_2016_2484_Fig7_HTML" ="fig">7 , Additional files , Additional files 3, 4 and 5). Selected hormone signaling-related genes encoding receptors and response factors, identified from KEGG pathway analysis, were shown (Fig. "12864_2016_2484_Fig7_HTML" ="fig">7a , , "12864_2016_2484_Fig7_HTML" ="fig">c -- "12864_2016_2484_Fig7_HTML" ="fig">d , Additional file , Additional file 4). The most obvious physiological effect of auxin is the promotion of organ and whole plant growth, which requires auxin transportation and signal transduction. Auxin transporters identified from the apple genome, MrPIN1 (MDP0000138035), two AUXIN-RESIST-ANT1 (MrAUX1; MDP0000155113, MDP0000s749280) and one NO VEIN (MrNOV; MDP0000806699) were repressed in grafted MB (Fig think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=28yo South Asian female
file_name=biomedica_00049929.jpg caption=Given the lack of observed associations between SNP interactions with clinical risk factors and AF, we performed power calculations to estimate power for discovery using Quanto24 (http://biostats.usc.edu/Quanto.html; Fig. "41598_2017_9396_Fig3_HTML" ="fig">3 ). As an example, we estimated power to observe a SNP interaction with sex, assuming a population comprised of 50% males, an AF population prevalence of 1%, and a case to control ratio of 1:10 (as in our study). We modeled a main effect OR of 1.5 for sex, and a genetic odds ratio of 1.5 for a SNP. We estimated that >100,000 AF cases would be a required to achieve 80% power for such an effect size, indicating that we had limited power to detect all but substantial genetic interactions with clinical risk factors.). As an example, we estimated power to observe a SNP interaction with sex, assuming a population comprised of 50% males, an AF population prevalence of 1%, and a case to control ratio of 1:10 (as in our study). We modeled source=biomedica enhanced_caption=O: Given the lack of observed associations between SNP interactions with clinical risk factors and AF, we performed power calculations to estimate power for discovery using Quanto24 (http://biostats.usc.edu/Quanto.html; Fig. "41598_2017_9396_Fig3_HTML" ="fig">3 ). As an example, we estimated power to observe a SNP interaction with sex, assuming a population comprised of 50% males, an AF population prevalence of 1%, and a case to control ratio of 1:10 (as in our study). We modeled a main effect OR of 1.5 for sex, and a genetic odds ratio of 1.5 for a SNP. We estimated that >100,000 AF cases would be a required to achieve 80% power for such an effect size, indicating that we had limited power to detect all but substantial genetic interactions with clinical risk factors.). As an example, we estimated power to observe a SNP interaction with sex, assuming a population comprised of 50% males, an AF population prevalence of 1%, and a case to control ratio of 1:10 (as in our study). We mode think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=42yo Black female
file_name=biomedica_00551915.jpg caption=So what are these ‘forgotten NCDs’ and why do they matter? Just as the creation of the concept (and terminology) of ‘neglected tropical diseases (NTDs)’ has led to much greater recognition, research support and programmatic response, including from institutions such as the Gates Foundation and the World Health Organisation, might a more strategic focus on neglected NCDs engender a similar global response, and is it warranted? The evidence would suggest it is. While neoplasms, COPD, cardiovascular diseases and diabetes cause much health loss worldwide, more of the global NCD burden (55%) arises from other NCDs. These include a diverse set of causes and conditions, but among the more important are musculoskeletal disorders, especially low back and neck pain, depression, substance use disorders, cirrhosis of the liver, chronic kidney disease, asthma, various digestive diseases including peptic ulcer, anxiety disorders, congenital anomalies and haemoglobinopathies. Unlike the ‘big four’ NC source=biomedica enhanced_caption=O: So what are these ‘forgotten NCDs’ and why do they matter? Just as the creation of the concept (and terminology) of ‘neglected tropical diseases (NTDs)’ has led to much greater recognition, research support and programmatic response, including from institutions such as the Gates Foundation and the World Health Organisation, might a more strategic focus on neglected NCDs engender a similar global response, and is it warranted? The evidence would suggest it is. While neoplasms, COPD, cardiovascular diseases and diabetes cause much health loss worldwide, more of the global NCD burden (55%) arises from other NCDs. These include a diverse set of causes and conditions, but among the more important are musculoskeletal disorders, especially low back and neck pain, depression, substance use disorders, cirrhosis of the liver, chronic kidney disease, asthma, various digestive diseases including peptic ulcer, anxiety disorders, congenital anomalies and haemoglobinopathies. Unlike the ‘big four’ think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00611261.jpg caption=The sensitivity analyses of the ANNs developed to predict the choice of students among motorized modes of transport (bus and car) are presented in ="fig" "ijerph-17-03549-g009">Figure 9 , , ="fig" "ijerph-17-03549-g010">Figure 10 , , ="fig" "ijerph-17-03549-g011">Figure 11 and and ="fig" "ijerph-17-03549-g012">Figure 12 . It could be commonly observed from these figures that the use of the bus was generally preferred in most of the cases. Contributing factors for this phenomenon could be shorter trips, the available frequency of buses, and avoiding the search for parking spaces. However, age negatively impacted the probability of bus use, as shown in . It could be commonly observed from these figures that the use of the bus was generally preferred in most of the cases. Contributing factors for this phenomenon could be shorter trips, the available frequency of buses, and avoiding the search for parking spaces. However, age negatively impacted the probability of bus use, as shown in ="fi source=biomedica enhanced_caption=O: The sensitivity analyses of the ANNs developed to predict the choice of students among motorized modes of transport (bus and car) are presented in ="fig" "ijerph-17-03549-g009">Figure 9 , , ="fig" "ijerph-17-03549-g010">Figure 10 , , ="fig" "ijerph-17-03549-g011">Figure 11 and and ="fig" "ijerph-17-03549-g012">Figure 12 . It could be commonly observed from these figures that the use of the bus was generally preferred in most of the cases. Contributing factors for this phenomenon could be shorter trips, the available frequency of buses, and avoiding the search for parking spaces. However, age negatively impacted the probability of bus use, as shown in . It could be commonly observed from these figures that the use of the bus was generally preferred in most of the cases. Contributing factors for this phenomenon could be shorter trips, the available frequency of buses, and avoiding the search for parking spaces. However, age negatively impacted the probability of bus use, as shown in = think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00559658.jpg caption=Stable transgenic ALS zebrafish lines were successfully generated for these studies using Tol2-mediated transgenesis. Coinjection of pDEST-CMV-G93A-SOD1-GFP cDNA (Figure ="fig" "1750-1326-7-44-2">2 A), in combination with A), in combination with Tol2 transposase RNA, resulted in random insertion of the Tol2-flanked transgene into the zebrafish genome. Preliminary studies comparing G93A-SOD1 and G93A-SOD1-GFP RNA injections did not demonstrate an effect of utilizing a GFP-fusion construct on the MN axonal phenotype (data not shown). Germline transmission was confirmed by PCR analysis of genomic DNA from F1 generation embryos for the human transgene (Figure ="fig" "1750-1326-7-44-2">2 B). Western blotting of protein lysates from F1 generation embryos for SOD1 expression (Figure B). Western blotting of protein lysates from F1 generation embryos for SOD1 expression (Figure ="fig" "1750-1326-7-44-2">2 C) demonstrated that G93A-SOD1-GFP expression levels were approximately 64% that of the en source=biomedica enhanced_caption=O: Stable transgenic ALS zebrafish lines were successfully generated for these studies using Tol2-mediated transgenesis. Coinjection of pDEST-CMV-G93A-SOD1-GFP cDNA (Figure ="fig" "1750-1326-7-44-2">2 A), in combination with A), in combination with Tol2 transposase RNA, resulted in random insertion of the Tol2-flanked transgene into the zebrafish genome. Preliminary studies comparing G93A-SOD1 and G93A-SOD1-GFP RNA injections did not demonstrate an effect of utilizing a GFP-fusion construct on the MN axonal phenotype (data not shown). Germline transmission was confirmed by PCR analysis of genomic DNA from F1 generation embryos for the human transgene (Figure ="fig" "1750-1326-7-44-2">2 B). Western blotting of protein lysates from F1 generation embryos for SOD1 expression (Figure B). Western blotting of protein lysates from F1 generation embryos for SOD1 expression (Figure ="fig" "1750-1326-7-44-2">2 C) demonstrated that G93A-SOD1-GFP expression levels were approximately 64% that of the think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00760195.jpg caption=Analysis of expression of the same markers of activation/proliferation in NK CD56dim and CD56bright cells did not show evidence of ongoing NK cell activation and NK cells were similar in patients who recovered from mild, moderate, and severe disease ( "elife-85009-fig2-figsupp2" ="fig">Figure 2—figure supplement 2A-F ). Similarly, analysis of the frequencies and expression of activation markers (CD80, CD68) of classical (CD14). Similarly, analysis of the frequencies and expression of activation markers (CD80, CD68) of classical (CD14+ CD16-), intermediate (CD14+CD16+), and non-classical (CD14-CD16+) monocytes showed similar frequencies of these cells across the disease severities and lack of ongoing activation ( "elife-85009-fig2-figsupp2" ="fig">Figure 2—figure supplement 2G-K ). Similar frequencies of unconventional TCR-γδ T-cells were detected in patients with mild, moderate, and severe disease and these cells lacked expression of markers of activation/proliferation (). Similar freq source=biomedica enhanced_caption=O: Analysis of expression of the same markers of activation/proliferation in NK CD56dim and CD56bright cells did not show evidence of ongoing NK cell activation and NK cells were similar in patients who recovered from mild, moderate, and severe disease ( "elife-85009-fig2-figsupp2" ="fig">Figure 2—figure supplement 2A-F ). Similarly, analysis of the frequencies and expression of activation markers (CD80, CD68) of classical (CD14). Similarly, analysis of the frequencies and expression of activation markers (CD80, CD68) of classical (CD14+ CD16-), intermediate (CD14+CD16+), and non-classical (CD14-CD16+) monocytes showed similar frequencies of these cells across the disease severities and lack of ongoing activation ( "elife-85009-fig2-figsupp2" ="fig">Figure 2—figure supplement 2G-K ). Similar frequencies of unconventional TCR-γδ T-cells were detected in patients with mild, moderate, and severe disease and these cells lacked expression of markers of activation/proliferation (). Similar f think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=48yo Middle Eastern male
file_name=biomedica_00489745.jpg caption=This will be a multicenter, single-blind RCT for children with severe pneumonia treated with meropenem. We plan to recruit 100 patients from four hospitals in China from September 2022 to September 2023 (Table 1). These patients will be assigned randomly to one of two groups at a 1:1 ratio: conventional treatment group and model treatment group. A schematic diagram of RCT design is shown in "fphar-13-1021661-g001" ="fig">Figure 1 . The details of patient enrollment, study interventions, and outcome assessments are shown in . The details of patient enrollment, study interventions, and outcome assessments are shown in Table 2. This RCT design is referred to the Consolidated Standards of Reporting Trials (CONSORT) (Supplementary Table S1). source=biomedica enhanced_caption=O: This will be a multicenter, single-blind RCT for children with severe pneumonia treated with meropenem. We plan to recruit 100 patients from four hospitals in China from September 2022 to September 2023 (Table 1). These patients will be assigned randomly to one of two groups at a 1:1 ratio: conventional treatment group and model treatment group. A schematic diagram of RCT design is shown in "fphar-13-1021661-g001" ="fig">Figure 1 . The details of patient enrollment, study interventions, and outcome assessments are shown in . The details of patient enrollment, study interventions, and outcome assessments are shown in Table 2. This RCT design is referred to the Consolidated Standards of Reporting Trials (CONSORT) (Supplementary Table S1). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD J18.9 assigned → Moderate uncertainty due to limited context</think> icd_code=J18.9 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00010995.jpg caption=The PI3K/AKT/mTOR signalling pathway is constitutively active in several cancer processes and plays an important role in carcinogenesis and development. Second, the PI3K/AKT/mTOR pathway regulates cancer cell survival, proliferation, migration, and therapy response [51]. A number of studies have shown that sulforaphane suppresses the mTOR signalling pathway and induces autophagy [40]. Particularly, phosphorylation of AKT, mTOR, ribosomal protein S6 kinase, and eukaryotic translation initiation factor 4E binding protein 1 were inhibited by sulforaphane and linked to a substantial decrease in tumour growth in mice after 24 days of therapy [36]. Sulforaphane co-treatment with chemotherapeutic drugs such as acetazolamide inhibits the PI3K/AKT/mTOR signalling pathway, which interacts synergistically to induce apoptosis. In both in vitro and in vivo xenograft tissues, this combination decreased tumour cell survival relative to each drug alone. Both H727 and H720 cell treatments were associat source=biomedica enhanced_caption=O: The PI3K/AKT/mTOR signalling pathway is constitutively active in several cancer processes and plays an important role in carcinogenesis and development. Second, the PI3K/AKT/mTOR pathway regulates cancer cell survival, proliferation, migration, and therapy response [51]. A number of studies have shown that sulforaphane suppresses the mTOR signalling pathway and induces autophagy [40]. Particularly, phosphorylation of AKT, mTOR, ribosomal protein S6 kinase, and eukaryotic translation initiation factor 4E binding protein 1 were inhibited by sulforaphane and linked to a substantial decrease in tumour growth in mice after 24 days of therapy [36]. Sulforaphane co-treatment with chemotherapeutic drugs such as acetazolamide inhibits the PI3K/AKT/mTOR signalling pathway, which interacts synergistically to induce apoptosis. In both in vitro and in vivo xenograft tissues, this combination decreased tumour cell survival relative to each drug alone. Both H727 and H720 cell treatments were assoc think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=28yo South Asian female
file_name=biomedica_00123191.jpg caption=Saha et al. reported that the EBV infection of naïve B lymphocytes leads to global transcriptional repression of several genes associated with the cell cycle and apoptosis, as well as DNA damage repair, and other tumor suppressor genes [35]. Previous studies have showed that cisplatin induces apoptosis through DNA damage response signaling [36]. ATM is a major sensor enzyme for DNA damage recognition and determines apoptosis and cell cycle arrest. Thus, we sought to examine whether DNA methylation could regulate ATM expression. To this end, we first investigated the ATM genomic locus and identified the ATM promoter region and two ATM 5′UTRs ( ="fig" "cancers-13-04252-g006">Figure 6 A).A). Thirdly, due to its plentiful CpG dinucleotides, we conducted MeDIP-PCR and pyrosequencing assays to analyze the methylation of the ATM control region using DNA methylation inhibitor DAC, a trigger for proteosomal degradation of the DNA methyltransferase family [34]. We first treated SNU719 cells with source=biomedica enhanced_caption=O: Saha et al. reported that the EBV infection of naïve B lymphocytes leads to global transcriptional repression of several genes associated with the cell cycle and apoptosis, as well as DNA damage repair, and other tumor suppressor genes [35]. Previous studies have showed that cisplatin induces apoptosis through DNA damage response signaling [36]. ATM is a major sensor enzyme for DNA damage recognition and determines apoptosis and cell cycle arrest. Thus, we sought to examine whether DNA methylation could regulate ATM expression. To this end, we first investigated the ATM genomic locus and identified the ATM promoter region and two ATM 5′UTRs ( ="fig" "cancers-13-04252-g006">Figure 6 A).A). Thirdly, due to its plentiful CpG dinucleotides, we conducted MeDIP-PCR and pyrosequencing assays to analyze the methylation of the ATM control region using DNA methylation inhibitor DAC, a trigger for proteosomal degradation of the DNA methyltransferase family [34]. We first treated SNU719 cells w think=<think>Visual findings present in image → Clinical correlation needed → ICD D49.9 assigned → Moderate uncertainty due to limited context</think> icd_code=D49.9 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00087293.jpg caption=Mean ventilation values calculated by means of the labels from manual segmentation was 0.12 ± 0.12 ml gas/ml tissue while CNN-based segmentation delivered values of 0.12 ± 0.08 ml gas/ml tissue, yielding a strong correlation (R2 = 0.993, VentCNN = 1.003 * Ventman – 0.001). The Bland–Altman analysis resulted in a mean difference between the two techniques of 0.00 ml gas / ml tissue and limits of agreement of − 0.01 and 0.01 ml gas/ml tissue. Figure "12880_2021_608_Fig6_HTML" ="fig">6 exemplarily presents two fractional ventilation maps: a healthy volunteer (left) shows homogenous ventilation while the CF-patient (right) presents a more heterogeneous ventilation pattern, which is an expected behavior according to [ exemplarily presents two fractional ventilation maps: a healthy volunteer (left) shows homogenous ventilation while the CF-patient (right) presents a more heterogeneous ventilation pattern, which is an expected behavior according to [20].Fig. 6Exemplary ventilation maps of a h source=biomedica enhanced_caption=O: Mean ventilation values calculated by means of the labels from manual segmentation was 0.12 ± 0.12 ml gas/ml tissue while CNN-based segmentation delivered values of 0.12 ± 0.08 ml gas/ml tissue, yielding a strong correlation (R2 = 0.993, VentCNN = 1.003 * Ventman – 0.001). The Bland–Altman analysis resulted in a mean difference between the two techniques of 0.00 ml gas / ml tissue and limits of agreement of − 0.01 and 0.01 ml gas/ml tissue. Figure "12880_2021_608_Fig6_HTML" ="fig">6 exemplarily presents two fractional ventilation maps: a healthy volunteer (left) shows homogenous ventilation while the CF-patient (right) presents a more heterogeneous ventilation pattern, which is an expected behavior according to [ exemplarily presents two fractional ventilation maps: a healthy volunteer (left) shows homogenous ventilation while the CF-patient (right) presents a more heterogeneous ventilation pattern, which is an expected behavior according to [20].Fig. 6Exemplary ventilation maps of think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=71yo Asian male
file_name=biomedica_00126675.jpg caption=Several combinations of climatic covariates had correlation coefficients below our critical value. Additive effects of multiple climatic covariates were modeled if the correlation between all covariates was less than 0.5 and the model was deemed to be ecologically meaningful. These conditions resulted in the construction of 18 models (Table S7). The top climate model (minimum temperature in May+total precipitation in July) fit the data well (R-score = 0.766) and was the overall top model (Table 2). Both climatic effects in the top model were negatively associated with chick survival ( ="fig" "pone.0065582.g003">Figs. 3 –– ="fig" "pone.0065582.g004">4 ). Despite the model fitting the data well, only the effect of July precipitation was significantly different from zero (). Despite the model fitting the data well, only the effect of July precipitation was significantly different from zero (Table S8). To ensure that the effects in our top model were robust and were not confounded by under source=biomedica enhanced_caption=O: Several combinations of climatic covariates had correlation coefficients below our critical value. Additive effects of multiple climatic covariates were modeled if the correlation between all covariates was less than 0.5 and the model was deemed to be ecologically meaningful. These conditions resulted in the construction of 18 models (Table S7). The top climate model (minimum temperature in May+total precipitation in July) fit the data well (R-score = 0.766) and was the overall top model (Table 2). Both climatic effects in the top model were negatively associated with chick survival ( ="fig" "pone.0065582.g003">Figs. 3 –– ="fig" "pone.0065582.g004">4 ). Despite the model fitting the data well, only the effect of July precipitation was significantly different from zero (). Despite the model fitting the data well, only the effect of July precipitation was significantly different from zero (Table S8). To ensure that the effects in our top model were robust and were not confounded by un think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00367026.jpg caption=SAT, PAT and MATH test of Pseudomonas sp. W6, Pseudomonas aeruginosa 2474 (MTCC), Pseudomonas alcaligenes MJ7 and Pseudomonas ficuserectae PKRS11. source=biomedica enhanced_caption=O: SAT, PAT and MATH test of Pseudomonas sp. W6, Pseudomonas aeruginosa 2474 (MTCC), Pseudomonas alcaligenes MJ7 and Pseudomonas ficuserectae PKRS11. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=42yo Black female
file_name=biomedica_00348538.jpg caption=As autotrophic organisms, the carbon status of plants is dependent upon the assimilation of atmospheric CO2 during photosynthesis ( ="fig" "ijms-14-06805f3">Figure 3 ). Besides providing the substrate for growth and maintenance of the plant, carbon status is also an important regulator of photosynthetic capacity and activity. For example, a shift of plants from normal to high CO). Besides providing the substrate for growth and maintenance of the plant, carbon status is also an important regulator of photosynthetic capacity and activity. For example, a shift of plants from normal to high CO2 can dramatically stimulate photosynthetic activity. However, this increased activity is often curtailed as carbon accumulation is thought to act in a feedback fashion to down-regulate photosynthetic capacity and activity [115]. What is poorly understood is the degree to which increased respiratory metabolism could act to consume the extra carbon assimilated at high CO2. For example, AOX activity cou source=biomedica enhanced_caption=O: As autotrophic organisms, the carbon status of plants is dependent upon the assimilation of atmospheric CO2 during photosynthesis ( ="fig" "ijms-14-06805f3">Figure 3 ). Besides providing the substrate for growth and maintenance of the plant, carbon status is also an important regulator of photosynthetic capacity and activity. For example, a shift of plants from normal to high CO). Besides providing the substrate for growth and maintenance of the plant, carbon status is also an important regulator of photosynthetic capacity and activity. For example, a shift of plants from normal to high CO2 can dramatically stimulate photosynthetic activity. However, this increased activity is often curtailed as carbon accumulation is thought to act in a feedback fashion to down-regulate photosynthetic capacity and activity [115]. What is poorly understood is the degree to which increased respiratory metabolism could act to consume the extra carbon assimilated at high CO2. For example, AOX activity think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00416438.jpg caption=There was no strong correlation between Endozoicomonadaceae relative abundance at the family level and chlorophyll a, pH, phosphate, silanol, sea surface salinity and temperature in Pocillopora and Millepora (Fig. "41467_2023_38502_Fig4_HTML" ="fig">4a ). In ). In Porites, Endozoicomonadaceae had the highest correlation to salinity. At the ASV level, however, all correlation values were low, but there were differences within coral genera. In Pocillopora, asv0000001 had the strongest positive correlation to sea surface temperature and was negatively associated with pH, while asv0000003 and asv0000020 had the highest correlations to salinity and were negatively correlated to SiOH (Fig. "41467_2023_38502_Fig4_HTML" ="fig">4a ). In ). In Porites, asv0000007 had the highest positive correlation to salinity, while asv0000028 and asv0000038 only had very low correlation values to environmental conditions. In Millepora, asv0000024 had the highest positive correlation to SiOH and asv0000110 onl source=biomedica enhanced_caption=O: There was no strong correlation between Endozoicomonadaceae relative abundance at the family level and chlorophyll a, pH, phosphate, silanol, sea surface salinity and temperature in Pocillopora and Millepora (Fig. "41467_2023_38502_Fig4_HTML" ="fig">4a ). In ). In Porites, Endozoicomonadaceae had the highest correlation to salinity. At the ASV level, however, all correlation values were low, but there were differences within coral genera. In Pocillopora, asv0000001 had the strongest positive correlation to sea surface temperature and was negatively associated with pH, while asv0000003 and asv0000020 had the highest correlations to salinity and were negatively correlated to SiOH (Fig. "41467_2023_38502_Fig4_HTML" ="fig">4a ). In ). In Porites, asv0000007 had the highest positive correlation to salinity, while asv0000028 and asv0000038 only had very low correlation values to environmental conditions. In Millepora, asv0000024 had the highest positive correlation to SiOH and asv0000110 think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00083981.jpg caption=Finally, a 66-year-old man was admitted to our hospital with severe anemia (6 g/dL), abdominal pain, and weight loss. Like in the cases reported above, EGDS showed a gastric lesion, which on histology was revealed to be a gastric adenocarcinoma, and the patient underwent total gastrectomy with Roux-en-Y end-to-side esophagojejunostomy. A stapling esophagojejunostomy was performed, according to the aforementioned procedure. Seven days later, EGDS was performed, due to the onset of severe nausea and fever, showing a 1.8 cm fistula at the anastomosis, about 38 cm from the mouth. This was confirmed by CT scan with gastrografin. The patient was started on TPN and empirical antibiotic ( ="fig" "CRIGM2014-409283.005">Figure 5 ) therapy. The abdominal cavity drainage was performed maintaining a drainage tube for 15 days, which was removed; after that the disappearance of the abdominal effusion was demonstrated through abdominal ultrasound. Having deemed clipping treatment for this fistula unfe source=biomedica enhanced_caption=O: Finally, a 66-year-old man was admitted to our hospital with severe anemia (6 g/dL), abdominal pain, and weight loss. Like in the cases reported above, EGDS showed a gastric lesion, which on histology was revealed to be a gastric adenocarcinoma, and the patient underwent total gastrectomy with Roux-en-Y end-to-side esophagojejunostomy. A stapling esophagojejunostomy was performed, according to the aforementioned procedure. Seven days later, EGDS was performed, due to the onset of severe nausea and fever, showing a 1.8 cm fistula at the anastomosis, about 38 cm from the mouth. This was confirmed by CT scan with gastrografin. The patient was started on TPN and empirical antibiotic ( ="fig" "CRIGM2014-409283.005">Figure 5 ) therapy. The abdominal cavity drainage was performed maintaining a drainage tube for 15 days, which was removed; after that the disappearance of the abdominal effusion was demonstrated through abdominal ultrasound. Having deemed clipping treatment for this fistula u think=<think>Visual findings present in image → Clinical correlation needed → ICD Z12.9 assigned → Moderate uncertainty due to limited context</think> icd_code=Z12.9 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00684487.jpg caption=Here we suggest that PI and vector memory are not just specialised functions for central place foraging, but rather play a more general role, intrinsic to how the CX supports all spatial behaviour. The high degree of conservation in CX structure across insect species and the existence of PI in species such as Drosophila [22, 23] support this extension. For example, a simple modification of the circuit—abolition of the return inhibitory pathway—sustains navigation and exploitation of several food sources in a ‘nomadic’ fashion ( "pcbi.1011480.g012" ="fig">Fig 12 ), reminiscent of ), reminiscent of Drosophila exploratory behaviour [81]. Essentially, we have shown that PI can provide an anchor, i.e. a stable reference/origin point in space, for any sensory-guidance pathway, extending its function from self-positioning to goal-positioning (we note that [82] similarly suggested that the fly may compare its vectorially encoded position to a vectorial goal, in 2D or 3D space, although not pre source=biomedica enhanced_caption=O: Here we suggest that PI and vector memory are not just specialised functions for central place foraging, but rather play a more general role, intrinsic to how the CX supports all spatial behaviour. The high degree of conservation in CX structure across insect species and the existence of PI in species such as Drosophila [22, 23] support this extension. For example, a simple modification of the circuit—abolition of the return inhibitory pathway—sustains navigation and exploitation of several food sources in a ‘nomadic’ fashion ( "pcbi.1011480.g012" ="fig">Fig 12 ), reminiscent of ), reminiscent of Drosophila exploratory behaviour [81]. Essentially, we have shown that PI can provide an anchor, i.e. a stable reference/origin point in space, for any sensory-guidance pathway, extending its function from self-positioning to goal-positioning (we note that [82] similarly suggested that the fly may compare its vectorially encoded position to a vectorial goal, in 2D or 3D space, although not think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00738397.jpg caption=The DGO-SVM was applied to E. sinensis to predict the positive PPIs for reconstructing the PIN. Candidate PPIs of E. sinensis were generated according to its genome annotation [39]. A total of 14,703 proteins were identified in E. sinensis, and after alignment and combination, 108,096,456 candidate PPIs were generated for these proteins for prediction. These proteins were associated with 6183 domains and 2300 original GO annotations. The number of level 4 GO annotations was 856 after tracing back through the tree structure. Therefore, the dimension of the feature for each candidate’s PPI was 7039 (6138 + 856). The DGO-SVM was then applied to the E. sinensis dataset. The values of C and γ were set as 8 and 0.055, which were the optimized values for the combination dataset of the five aquatic crustaceans. Finally, 7,243,597 positive PPIs were predicted. Based on the prediction results, we reconstructed the PIN of E. sinensis, comprising 14,703 proteins and 7,243,597 PPIs (Supplementary F source=biomedica enhanced_caption=O: The DGO-SVM was applied to E. sinensis to predict the positive PPIs for reconstructing the PIN. Candidate PPIs of E. sinensis were generated according to its genome annotation [39]. A total of 14,703 proteins were identified in E. sinensis, and after alignment and combination, 108,096,456 candidate PPIs were generated for these proteins for prediction. These proteins were associated with 6183 domains and 2300 original GO annotations. The number of level 4 GO annotations was 856 after tracing back through the tree structure. Therefore, the dimension of the feature for each candidate’s PPI was 7039 (6138 + 856). The DGO-SVM was then applied to the E. sinensis dataset. The values of C and γ were set as 8 and 0.055, which were the optimized values for the combination dataset of the five aquatic crustaceans. Finally, 7,243,597 positive PPIs were predicted. Based on the prediction results, we reconstructed the PIN of E. sinensis, comprising 14,703 proteins and 7,243,597 PPIs (Supplementar think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00658270.jpg caption=To further evaluate the antiviral effect of chCH25H on ALV-J replication, we applied CRISPR/Cas9 genome editing technology to knockdown the endogenous chCH25H. The DF1 cells transfected with Cas9/gRNA recombinant vector were screened by the 2.5 μg/mL puromycin for 18 days. The green fluorescent represented a proliferative process of the puromycin-selected cells from 4 to18 days ( ="fig" "viruses-11-00498-g006">Figure 6 A). Almost all knockout cells showed green fluorescence at 18 days (A). Almost all knockout cells showed green fluorescence at 18 days ( ="fig" "viruses-11-00498-g006">Figure 6 A). The knockout efficiency in twenty monoclonal bacteria randomly selected for sequencing was 19/20 (95%) (A). The knockout efficiency in twenty monoclonal bacteria randomly selected for sequencing was 19/20 (95%) ( ="fig" "viruses-11-00498-g006">Figure 6 B). Accordingly, we judged that the knockout efficiency of the B). Accordingly, we judged that the knockout efficiency of the chCH25H-knockout source=biomedica enhanced_caption=O: To further evaluate the antiviral effect of chCH25H on ALV-J replication, we applied CRISPR/Cas9 genome editing technology to knockdown the endogenous chCH25H. The DF1 cells transfected with Cas9/gRNA recombinant vector were screened by the 2.5 μg/mL puromycin for 18 days. The green fluorescent represented a proliferative process of the puromycin-selected cells from 4 to18 days ( ="fig" "viruses-11-00498-g006">Figure 6 A). Almost all knockout cells showed green fluorescence at 18 days (A). Almost all knockout cells showed green fluorescence at 18 days ( ="fig" "viruses-11-00498-g006">Figure 6 A). The knockout efficiency in twenty monoclonal bacteria randomly selected for sequencing was 19/20 (95%) (A). The knockout efficiency in twenty monoclonal bacteria randomly selected for sequencing was 19/20 (95%) ( ="fig" "viruses-11-00498-g006">Figure 6 B). Accordingly, we judged that the knockout efficiency of the B). Accordingly, we judged that the knockout efficiency of the chCH25H-knocko think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=67yo Asian female
file_name=biomedica_00553388.jpg caption=The bioinformatics pipeline designed during this study consists of 23 well-established mothur tools (v.1.36) [8] and an additional 9 custom-made tools developed by the authors that have been integrated and combined in Galaxy as a full analysis service to deliver 16S rRNA gene analysis for micPCR/NGS experiments. Essentially, we have incorporated the functionality of mothur in Galaxy, which is a project dedicated to simplify the use of complex command-line bioinformatics tools (such as mothur) using a user-friendly web interface [9–11], and added new calculator tools to allow for a completely automatic processing of quantitative micPCR/NGS data. Importantly, the bioinformatics pipeline presents the microbiota results together with an extensive overview of the quality control measurements performed during the micPCR/NGS data analysis, to the user in an organized fashion via an interactive web report. The complete workflow of the bioinformatics pipeline is visualized in Fig. "10096_2018_3 source=biomedica enhanced_caption=O: The bioinformatics pipeline designed during this study consists of 23 well-established mothur tools (v.1.36) [8] and an additional 9 custom-made tools developed by the authors that have been integrated and combined in Galaxy as a full analysis service to deliver 16S rRNA gene analysis for micPCR/NGS experiments. Essentially, we have incorporated the functionality of mothur in Galaxy, which is a project dedicated to simplify the use of complex command-line bioinformatics tools (such as mothur) using a user-friendly web interface [9–11], and added new calculator tools to allow for a completely automatic processing of quantitative micPCR/NGS data. Importantly, the bioinformatics pipeline presents the microbiota results together with an extensive overview of the quality control measurements performed during the micPCR/NGS data analysis, to the user in an organized fashion via an interactive web report. The complete workflow of the bioinformatics pipeline is visualized in Fig. "10096_201 think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=48yo Middle Eastern male
file_name=biomedica_00583578.jpg caption=Digestive system. ( "pone.0273067.g017" ="fig">Fig 17A and 17B ) General features similar to those of preceding species, distinctions and interesting data following. Jaw strong, well-arched, with central inner reinforcement () General features similar to those of preceding species, distinctions and interesting data following. Jaw strong, well-arched, with central inner reinforcement ( "pone.0273067.g016" ="fig">Fig 16G ), weak central beak; transverse ribs very weak, almost imperceptible; commarginal sculpture wanting. Buccal mass and odontophore (), weak central beak; transverse ribs very weak, almost imperceptible; commarginal sculpture wanting. Buccal mass and odontophore ( "pone.0273067.g017" ="fig">Fig 17B ) lacking m1a, m1v and m3d; ) lacking m1a, m1v and m3d; m3p, well-developed, extending along base of esophageal origin; m4, very thick, relatively short; m5, thin and short, origin about half on m4 and half on posterior region of cartilages; m7, absent. Pair of odontophore carti source=biomedica enhanced_caption=O: Digestive system. ( "pone.0273067.g017" ="fig">Fig 17A and 17B ) General features similar to those of preceding species, distinctions and interesting data following. Jaw strong, well-arched, with central inner reinforcement () General features similar to those of preceding species, distinctions and interesting data following. Jaw strong, well-arched, with central inner reinforcement ( "pone.0273067.g016" ="fig">Fig 16G ), weak central beak; transverse ribs very weak, almost imperceptible; commarginal sculpture wanting. Buccal mass and odontophore (), weak central beak; transverse ribs very weak, almost imperceptible; commarginal sculpture wanting. Buccal mass and odontophore ( "pone.0273067.g017" ="fig">Fig 17B ) lacking m1a, m1v and m3d; ) lacking m1a, m1v and m3d; m3p, well-developed, extending along base of esophageal origin; m4, very thick, relatively short; m5, thin and short, origin about half on m4 and half on posterior region of cartilages; m7, absent. Pair of odontophore ca think=<think>Visual findings present in image → Clinical correlation needed → ICD D49.9 assigned → Moderate uncertainty due to limited context</think> icd_code=D49.9 uncertainty=medium modality=multi-modal demographic=64yo Pacific Islander male
file_name=biomedica_00537217.jpg caption=Among the 6534 detoxification enzymes defined by OxyGene, 388 are annotated as "hypothetical protein" in NCBI files. Such "hypothetical proteins" are found in all classes with most (40%) in the peroxidase class, the other classes containing 1 to 14% (see Figure ="fig" "1471-2164-9-637-3">3a ). Regarding subclasses (Figure ). Regarding subclasses (Figure ="fig" "1471-2164-9-637-3">3b ), the presence of "hypothetical proteins" in recently described groups (GLB_xxx, [), the presence of "hypothetical proteins" in recently described groups (GLB_xxx, [53]) can be explained; however, their presence in old, well-characterized enzyme subclasses, such as the catalase subclass, is more surprising [54]. We found that a BlastP analysis, using a "hypothetical" mis-annotated catalase as input, recruited other "hypothetical" mis-annotated catalases as first hits. This demonstrates how the absence of updating or correction in databases can lead to the propagation of annotation errors, as discussed by o source=biomedica enhanced_caption=O: Among the 6534 detoxification enzymes defined by OxyGene, 388 are annotated as "hypothetical protein" in NCBI files. Such "hypothetical proteins" are found in all classes with most (40%) in the peroxidase class, the other classes containing 1 to 14% (see Figure ="fig" "1471-2164-9-637-3">3a ). Regarding subclasses (Figure ). Regarding subclasses (Figure ="fig" "1471-2164-9-637-3">3b ), the presence of "hypothetical proteins" in recently described groups (GLB_xxx, [), the presence of "hypothetical proteins" in recently described groups (GLB_xxx, [53]) can be explained; however, their presence in old, well-characterized enzyme subclasses, such as the catalase subclass, is more surprising [54]. We found that a BlastP analysis, using a "hypothetical" mis-annotated catalase as input, recruited other "hypothetical" mis-annotated catalases as first hits. This demonstrates how the absence of updating or correction in databases can lead to the propagation of annotation errors, as discussed b think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=pmcvqa_00081125.jpg caption=Clinical Question: What structure is shown in figure J? Answer: Base of green spikes at flowering time showing the first rachis phytomers source=pmcvqa enhanced_caption=O: Clinical Question: What structure is shown in figure J? Answer: Base of green spikes at flowering time showing the first rachis phytomers A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=radiology demographic=32yo Hispanic female
file_name=biomedica_00542754.jpg caption=Our study material for clarifying the history of the porpoise comes from archaeological contexts, as no finds of porpoise from geological contexts are known in Estonia, Latvia or Lithuania. Most of the material has been excavated and collected manually from Neolithic dwelling sites situated on islands, in addition to finds from coastal areas of the mainland ( "animals-13-00909-g002" ="fig">Figure 2 ), and is dated roughly to the time span 4000–2000 cal. BC.), and is dated roughly to the time span 4000–2000 cal. BC. Porpoise tooth decoration was first recognized on pottery from the Sārnate site, near the open-sea coast of north western Latvia, and has since been documented in the pottery assemblages from a number of eastern Baltic coastal habitation sites dated to the final part of the Stone Age. These include sites on the western shore of the Gulf of Riga (Ģipka A and B, lower layer of Pūrciems C) and at the head of the gulf (Siliņupe and Slocene), all in present-day Latvia, as well as source=biomedica enhanced_caption=O: Our study material for clarifying the history of the porpoise comes from archaeological contexts, as no finds of porpoise from geological contexts are known in Estonia, Latvia or Lithuania. Most of the material has been excavated and collected manually from Neolithic dwelling sites situated on islands, in addition to finds from coastal areas of the mainland ( "animals-13-00909-g002" ="fig">Figure 2 ), and is dated roughly to the time span 4000–2000 cal. BC.), and is dated roughly to the time span 4000–2000 cal. BC. Porpoise tooth decoration was first recognized on pottery from the Sārnate site, near the open-sea coast of north western Latvia, and has since been documented in the pottery assemblages from a number of eastern Baltic coastal habitation sites dated to the final part of the Stone Age. These include sites on the western shore of the Gulf of Riga (Ģipka A and B, lower layer of Pūrciems C) and at the head of the gulf (Siliņupe and Slocene), all in present-day Latvia, as well think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00329929.jpg caption=Comparing the control group (38.3 °C) to the experimental group (39.8 °C), there was a significant difference in the number of embryos that developed from the unicellular stage to blastocysts (p < 0.05) ( "ijms-24-11164-g002" ="fig">Figure 2 ). At the same time, there were highly significant differences (). At the same time, there were highly significant differences (p < 0.01) concerning the group exposed to the temperature of 41.0 °C. In the control group, after 6 h, the percentage of embryos that developed from the unicellular stage to blastocysts was 41.0 ± 5.2%, while the lowest rate was in the research group at 41.0 °C (30.1 ± 5.1%). A similar situation concerned the number of embryos developing after 12 h of observation. The difference between the 39.8 °C and 41.0 °C groups was highly statistically significant (p < 0.01) and amounted to 37.1 ± 3.9% and 7.7 ± 6.4%, respectively ( "ijms-24-11164-g002" ="fig">Figure 2 ).). source=biomedica enhanced_caption=O: Comparing the control group (38.3 °C) to the experimental group (39.8 °C), there was a significant difference in the number of embryos that developed from the unicellular stage to blastocysts (p < 0.05) ( "ijms-24-11164-g002" ="fig">Figure 2 ). At the same time, there were highly significant differences (). At the same time, there were highly significant differences (p < 0.01) concerning the group exposed to the temperature of 41.0 °C. In the control group, after 6 h, the percentage of embryos that developed from the unicellular stage to blastocysts was 41.0 ± 5.2%, while the lowest rate was in the research group at 41.0 °C (30.1 ± 5.1%). A similar situation concerned the number of embryos developing after 12 h of observation. The difference between the 39.8 °C and 41.0 °C groups was highly statistically significant (p < 0.01) and amounted to 37.1 ± 3.9% and 7.7 ± 6.4%, respectively ( "ijms-24-11164-g002" ="fig">Figure 2 ).). A: Clinical findings require correlation. P: Further eval think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00750980.jpg caption=GWASs have identified thousands of genomic regions associated with common diseases22, including immune-mediated diseases (IMDs). Many of these disease-associated loci lie outside protein-coding regions, leaving the effector molecules and pathways by which these genetic variants confer disease risk unclear. Integration of pQTL and GWAS data can help bridge this knowledge gap by linking disease risk loci to specific proteins. To this end, we looked for overlap between pQTLs, or proxy variants in high LD (r2 ≥ 0.8) with our sentinel variants, and disease-associated variants from GWASs. This revealed an overlap between our pQTLs and disease-associated variants for 73 diseases (Extended Data Fig. "41590_2023_1588_Fig14_ESM" ="fig">8 and Supplementary Table and Supplementary Table 11). Examples of genetically anchored protein–disease connections included: TNFSF11 (RANKL) with osteoporosis and hypothyroidism, NGF (nerve growth factor) with migraine, TNFSF12 (TWEAK) with hypertension and fibro source=biomedica enhanced_caption=O: GWASs have identified thousands of genomic regions associated with common diseases22, including immune-mediated diseases (IMDs). Many of these disease-associated loci lie outside protein-coding regions, leaving the effector molecules and pathways by which these genetic variants confer disease risk unclear. Integration of pQTL and GWAS data can help bridge this knowledge gap by linking disease risk loci to specific proteins. To this end, we looked for overlap between pQTLs, or proxy variants in high LD (r2 ≥ 0.8) with our sentinel variants, and disease-associated variants from GWASs. This revealed an overlap between our pQTLs and disease-associated variants for 73 diseases (Extended Data Fig. "41590_2023_1588_Fig14_ESM" ="fig">8 and Supplementary Table and Supplementary Table 11). Examples of genetically anchored protein–disease connections included: TNFSF11 (RANKL) with osteoporosis and hypothyroidism, NGF (nerve growth factor) with migraine, TNFSF12 (TWEAK) with hypertension and fi think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00333337.jpg caption=In consideration of radiological union, the patients were asked to bear weight at an average time of four months postoperatively. After radiological union, assessments of functional outcomes using Karlström and Olerud’s criteria showed that six patients (28.57%) had excellent outcomes, 13 (62%) had good outcomes, two (9.5%) had fair outcomes, and none had a poor outcome (Figure "cureus-0014-00000025615-i04" ="fig">4 ). The average range of knee flexion was 100° ± 10.954° (P = 0.001).). The average range of knee flexion was 100° ± 10.954° (P = 0.001). source=biomedica enhanced_caption=O: In consideration of radiological union, the patients were asked to bear weight at an average time of four months postoperatively. After radiological union, assessments of functional outcomes using Karlström and Olerud’s criteria showed that six patients (28.57%) had excellent outcomes, 13 (62%) had good outcomes, two (9.5%) had fair outcomes, and none had a poor outcome (Figure "cureus-0014-00000025615-i04" ="fig">4 ). The average range of knee flexion was 100° ± 10.954° (P = 0.001).). The average range of knee flexion was 100° ± 10.954° (P = 0.001). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00327080.jpg caption=Gene-specific and alignment-free methodology was used for the development of EpiMut, a tool for functional annotation of AAS in 19 analysed epigenetic factors. It provides probabilities for the predictions and the cut-off value of 0.5 was applied for binary classification, denoting AAS with the value ≥0.5 as “MUT” in the case of a disease-related prediction and AAS with the probability value <0.5 as “SNP” in the case of neutral predictions. We compared the performance of EpiMut with three state-of-the-art tools for functional annotation of AAS, PolyPhen-2, SIFT and SNAP2. Performance was measured using Sensitivity, Specificity, Accuracy and MCC. EpiMut showed a better performance compared to PolyPhen-2, SIFT and SNAP2 for each of these measures and, additionally, outperformed these tools in regards to AUC ( ="fig" "pone.0244948.g004">Fig 4 ).). source=biomedica enhanced_caption=O: Gene-specific and alignment-free methodology was used for the development of EpiMut, a tool for functional annotation of AAS in 19 analysed epigenetic factors. It provides probabilities for the predictions and the cut-off value of 0.5 was applied for binary classification, denoting AAS with the value ≥0.5 as “MUT” in the case of a disease-related prediction and AAS with the probability value <0.5 as “SNP” in the case of neutral predictions. We compared the performance of EpiMut with three state-of-the-art tools for functional annotation of AAS, PolyPhen-2, SIFT and SNAP2. Performance was measured using Sensitivity, Specificity, Accuracy and MCC. EpiMut showed a better performance compared to PolyPhen-2, SIFT and SNAP2 for each of these measures and, additionally, outperformed these tools in regards to AUC ( ="fig" "pone.0244948.g004">Fig 4 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00724022.jpg caption=Our previous data showed that TRIP-Br1 is highly expressed in human breast cancer but weakly in normal tissues, suggesting the role of TRIP-Br1 as an oncoprotein [12]. However, our previous and current data showed that both TRIP-Br3 and TRIP-Br1 have an anti-apoptotic function. Therefore, we further tested whether TRIP-Br3 have a potential to function as a tumor suppressor by employing Immunohistochemistry analysis. Our data revealed that TRIP-Br3 protein was detected to be relatively high in normal tissue samples compared to cancer tissues. Normal epithelial cells have strong positive reaction for TRIP-Br3 in the cytoplasm. Ductal hyperplastic epithelial cells and ductal carcinoma in situ also exhibited relatively high level of TRIP-Br3. (Figure ="fig" "oncotarget-06-7522-g006">6 ). However, TRIP-Br3 was not expressed in the invasive ductal carcinoma cells (Figure ). However, TRIP-Br3 was not expressed in the invasive ductal carcinoma cells (Figure ="fig" "oncotarget-06-7522-g006">6 ) source=biomedica enhanced_caption=O: Our previous data showed that TRIP-Br1 is highly expressed in human breast cancer but weakly in normal tissues, suggesting the role of TRIP-Br1 as an oncoprotein [12]. However, our previous and current data showed that both TRIP-Br3 and TRIP-Br1 have an anti-apoptotic function. Therefore, we further tested whether TRIP-Br3 have a potential to function as a tumor suppressor by employing Immunohistochemistry analysis. Our data revealed that TRIP-Br3 protein was detected to be relatively high in normal tissue samples compared to cancer tissues. Normal epithelial cells have strong positive reaction for TRIP-Br3 in the cytoplasm. Ductal hyperplastic epithelial cells and ductal carcinoma in situ also exhibited relatively high level of TRIP-Br3. (Figure ="fig" "oncotarget-06-7522-g006">6 ). However, TRIP-Br3 was not expressed in the invasive ductal carcinoma cells (Figure ). However, TRIP-Br3 was not expressed in the invasive ductal carcinoma cells (Figure ="fig" "oncotarget-06-7522-g006"> think=<think>Visual findings present in image → Clinical correlation needed → ICD D49.9 assigned → Moderate uncertainty due to limited context</think> icd_code=D49.9 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00186459.jpg caption=The electron density of diamond-structured Si in its \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(01\bar{1})$$\end{document}(011¯) plane is plotted in Fig. "41467_2022_35627_Fig4_HTML" ="fig">4 b. We can see that valence electrons are shared by the nearest Si atoms, forming apparent Si-Si covalent bonds. In contrast, valence electrons are located around atoms in NaCl crystal as Fig. b. We can see that valence electrons are shared by the nearest Si atoms, forming apparent Si-Si covalent bonds. In contrast, valence electrons are located around atoms in NaCl crystal as Fig. "41467_2022_35627_Fig4_HTML" ="fig">4 c shows. All the valence electrons are attracted around Cl atoms, forming effective Nac shows. All the valence electrons are attracted around Cl atoms, forming effective Na+ and Cl− ions in the crys source=biomedica enhanced_caption=O: The electron density of diamond-structured Si in its \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(01\bar{1})$$\end{document}(011¯) plane is plotted in Fig. "41467_2022_35627_Fig4_HTML" ="fig">4 b. We can see that valence electrons are shared by the nearest Si atoms, forming apparent Si-Si covalent bonds. In contrast, valence electrons are located around atoms in NaCl crystal as Fig. b. We can see that valence electrons are shared by the nearest Si atoms, forming apparent Si-Si covalent bonds. In contrast, valence electrons are located around atoms in NaCl crystal as Fig. "41467_2022_35627_Fig4_HTML" ="fig">4 c shows. All the valence electrons are attracted around Cl atoms, forming effective Nac shows. All the valence electrons are attracted around Cl atoms, forming effective Na+ and Cl− ions in the c think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00398423.jpg caption=As mentioned above, WD increased overall resistin levels, but the increase was significantly greater in ART mice than in No ART mice, resulting in a significant (P≤0.05) diet x ART interaction ( ="fig" "pone.0112651.g008">Figure 8 ). A trend interaction (P = 0.06) in PAI-1 serum levels was also observed between diet and ART. PAI-1 tended to be increased in ART mice only when fed a WD. No effect of diet on PAI-1 was observed in mice of the No ART group (). A trend interaction (P = 0.06) in PAI-1 serum levels was also observed between diet and ART. PAI-1 tended to be increased in ART mice only when fed a WD. No effect of diet on PAI-1 was observed in mice of the No ART group (Figure S2). source=biomedica enhanced_caption=O: As mentioned above, WD increased overall resistin levels, but the increase was significantly greater in ART mice than in No ART mice, resulting in a significant (P≤0.05) diet x ART interaction ( ="fig" "pone.0112651.g008">Figure 8 ). A trend interaction (P = 0.06) in PAI-1 serum levels was also observed between diet and ART. PAI-1 tended to be increased in ART mice only when fed a WD. No effect of diet on PAI-1 was observed in mice of the No ART group (). A trend interaction (P = 0.06) in PAI-1 serum levels was also observed between diet and ART. PAI-1 tended to be increased in ART mice only when fed a WD. No effect of diet on PAI-1 was observed in mice of the No ART group (Figure S2). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00321730.jpg caption=An 80-year-old male patient underwent elective computed tomographic angiography (CTA) scan for checkup of a known thoracoabdominal aneurysm. Nine years before, he received open surgical repair of juxtarenal abdominal aortic aneurysm with reimplantation of the left renal artery. Results of the recent CTA (SOMATOM Definition Flash, Siemens®, Erlangen, Germany) are depicted in "fcvm-10-1299192-g001" ="fig">Figure 1 and showed a thoracic aortic aneurysm with 63 mm of the descending aorta. According to the current guidelines, TEVAR was recommended to prevent aortic dissection or rupture ( and showed a thoracic aortic aneurysm with 63 mm of the descending aorta. According to the current guidelines, TEVAR was recommended to prevent aortic dissection or rupture (2). Therefore, he was referred to a local vascular surgery department for TEVAR. Proximal landing zone diameter distal from the left subclavian artery was estimated to be 30 mm. At this point of time, the patient was free of symptoms. source=biomedica enhanced_caption=O: An 80-year-old male patient underwent elective computed tomographic angiography (CTA) scan for checkup of a known thoracoabdominal aneurysm. Nine years before, he received open surgical repair of juxtarenal abdominal aortic aneurysm with reimplantation of the left renal artery. Results of the recent CTA (SOMATOM Definition Flash, Siemens®, Erlangen, Germany) are depicted in "fcvm-10-1299192-g001" ="fig">Figure 1 and showed a thoracic aortic aneurysm with 63 mm of the descending aorta. According to the current guidelines, TEVAR was recommended to prevent aortic dissection or rupture ( and showed a thoracic aortic aneurysm with 63 mm of the descending aorta. According to the current guidelines, TEVAR was recommended to prevent aortic dissection or rupture (2). Therefore, he was referred to a local vascular surgery department for TEVAR. Proximal landing zone diameter distal from the left subclavian artery was estimated to be 30 mm. At this point of time, the patient was free of symptom think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=48yo Middle Eastern male
file_name=pmcvqa_00036424.jpg caption=Clinical Question: What is the significance of the asterisk in Figure C? Answer: The residue indicated by the asterisk is absent in par-2(or373 ts) mutant source=pmcvqa enhanced_caption=O: Clinical Question: What is the significance of the asterisk in Figure C? Answer: The residue indicated by the asterisk is absent in par-2(or373 ts) mutant A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=radiology demographic=64yo Pacific Islander male
file_name=biomedica_00536051.jpg caption=Information about the geometric arrangement of the atoms of the crystals in AgNPs and the distance between them are obtained by this method. Therefore, X-ray diffraction (XRD) has been used because it is a practical and convenient method for the qualitative identification of crystalline compounds. Analysis of the XRD phase and crystal structure analysis of plant-synthesized AgNPs are shown in "turkjchem-46-5-1417f3" ="fig">Figures 3 and and "turkjchem-46-5-1417f4" ="fig">4 . The percentage of crystallinity of TV-AgNPs synthesized with . The percentage of crystallinity of TV-AgNPs synthesized with Thymus vulgaris plant extract, the ratio of the sum of the areas of the peaks with specific peaks to the sum of all areas was found to be 62% ( "turkjchem-46-5-1417f3" ="fig">Figure 3 .). Similarly, the percentage of crystallinity of SO-AgNPs was found to be 51% (.). Similarly, the percentage of crystallinity of SO-AgNPs was found to be 51% ( "turkjchem-46-5-1417f4" ="fig">Figure 4 ).). In the source=biomedica enhanced_caption=O: Information about the geometric arrangement of the atoms of the crystals in AgNPs and the distance between them are obtained by this method. Therefore, X-ray diffraction (XRD) has been used because it is a practical and convenient method for the qualitative identification of crystalline compounds. Analysis of the XRD phase and crystal structure analysis of plant-synthesized AgNPs are shown in "turkjchem-46-5-1417f3" ="fig">Figures 3 and and "turkjchem-46-5-1417f4" ="fig">4 . The percentage of crystallinity of TV-AgNPs synthesized with . The percentage of crystallinity of TV-AgNPs synthesized with Thymus vulgaris plant extract, the ratio of the sum of the areas of the peaks with specific peaks to the sum of all areas was found to be 62% ( "turkjchem-46-5-1417f3" ="fig">Figure 3 .). Similarly, the percentage of crystallinity of SO-AgNPs was found to be 51% (.). Similarly, the percentage of crystallinity of SO-AgNPs was found to be 51% ( "turkjchem-46-5-1417f4" ="fig">Figure 4 ).). In think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00231077.jpg caption=Based on the combination of anchor nodes, we gain many different groups. For each group, we will perform trilateration. Assume that Ai, Bi, and Ci are three anchor nodes in the ith group, which are located in (xAi, yAi), (xBi, yBi), (xCi, yCi), and P is the target node which is located in (x, y). The distances from the target node to three anchor nodes are dAi, dBi, dCi. An intersection point can be obtained by taking Ai, Bi, Ci as the center and dAi, dBi, dCi as the radius to make three circles. This intersection point corresponds to the position of the unknown node P. The principle is shown in "sensors-22-06085-g002" ="fig">Figure 2 .. source=biomedica enhanced_caption=O: Based on the combination of anchor nodes, we gain many different groups. For each group, we will perform trilateration. Assume that Ai, Bi, and Ci are three anchor nodes in the ith group, which are located in (xAi, yAi), (xBi, yBi), (xCi, yCi), and P is the target node which is located in (x, y). The distances from the target node to three anchor nodes are dAi, dBi, dCi. An intersection point can be obtained by taking Ai, Bi, Ci as the center and dAi, dBi, dCi as the radius to make three circles. This intersection point corresponds to the position of the unknown node P. The principle is shown in "sensors-22-06085-g002" ="fig">Figure 2 .. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=28yo South Asian female
file_name=biomedica_00300549.jpg caption="cancers-14-06070-g002" ="fig">Figure 2 shows the results of targeted imaging of the lung cancer with HP shows the results of targeted imaging of the lung cancer with HP 129Xe MRI for LC mice. "cancers-14-06070-g002" ="fig">Figure 2 a,b demonstrates the time-course of HP a,b demonstrates the time-course of HP 129Xe images acquired before and after FA@Dex-IONPs and PEG-IONPs administration, respectively, compared with HP 129Xe images for NC mice before and after IONPs administration. In the present study, the use of IONPs as a negative contrast agent has enabled targeted imaging of lung cancer with HP 129Xe MRI ( "cancers-14-06070-g002" ="fig">Figure 2 ). Furthermore, by comparing two contrast agents of FA@Dex-IONPs and PEG-IONPs, it was observed that there is a characteristic difference in their pharmacokinetics (). Furthermore, by comparing two contrast agents of FA@Dex-IONPs and PEG-IONPs, it was observed that there is a characteristic difference in their pharmacokinetics ( "cancers- source=biomedica enhanced_caption=O: "cancers-14-06070-g002" ="fig">Figure 2 shows the results of targeted imaging of the lung cancer with HP shows the results of targeted imaging of the lung cancer with HP 129Xe MRI for LC mice. "cancers-14-06070-g002" ="fig">Figure 2 a,b demonstrates the time-course of HP a,b demonstrates the time-course of HP 129Xe images acquired before and after FA@Dex-IONPs and PEG-IONPs administration, respectively, compared with HP 129Xe images for NC mice before and after IONPs administration. In the present study, the use of IONPs as a negative contrast agent has enabled targeted imaging of lung cancer with HP 129Xe MRI ( "cancers-14-06070-g002" ="fig">Figure 2 ). Furthermore, by comparing two contrast agents of FA@Dex-IONPs and PEG-IONPs, it was observed that there is a characteristic difference in their pharmacokinetics (). Furthermore, by comparing two contrast agents of FA@Dex-IONPs and PEG-IONPs, it was observed that there is a characteristic difference in their pharmacokinetics ( "cance think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00107640.jpg caption="biomolecules-13-00790-g001" ="fig">Figure 1 shows the distribution of patients according to levels of proteinuria and albuminuria in patients with clinically significant levels of any of these parameters. shows the distribution of patients according to levels of proteinuria and albuminuria in patients with clinically significant levels of any of these parameters. The average uAPR in our patient population was 0.18 ± 0.12, with most patients showing levels between 0.1 and 0.3 (n = 114, 59.4%). To the best of our knowledge, there are no previous reports on uAPR in patients with obesity. As abovementioned, several variables were shown to have a distinctive impact on the levels of proteinuria and albuminuria. Several studies have proposed that the origin of urinary proteins can be inferred by measuring the uAPR and, in kidney diseases with significant proteinuria, a uAPR of <0.4 can predict primary tubulointerstitial, with a sensitivity and specificity of 88% and 99%, respectively [47,48, source=biomedica enhanced_caption=O: "biomolecules-13-00790-g001" ="fig">Figure 1 shows the distribution of patients according to levels of proteinuria and albuminuria in patients with clinically significant levels of any of these parameters. shows the distribution of patients according to levels of proteinuria and albuminuria in patients with clinically significant levels of any of these parameters. The average uAPR in our patient population was 0.18 ± 0.12, with most patients showing levels between 0.1 and 0.3 (n = 114, 59.4%). To the best of our knowledge, there are no previous reports on uAPR in patients with obesity. As abovementioned, several variables were shown to have a distinctive impact on the levels of proteinuria and albuminuria. Several studies have proposed that the origin of urinary proteins can be inferred by measuring the uAPR and, in kidney diseases with significant proteinuria, a uAPR of <0.4 can predict primary tubulointerstitial, with a sensitivity and specificity of 88% and 99%, respectively [47, think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00497663.jpg caption=The study flow, retention to the vaccination schedule and contribution to analysis datasets are shown in ="fig" "pone.0206838.g001">Fig 1 . Overall, 50 of 211 (23.7%) participants did not complete the vaccination schedule, with 26/50 (52%) dropping out after the last HIV-DNA vaccination, mainly due to a substantial delay in the first HIV-MVA boost whilst a stability concern was addressed. The first boost was delivered at a median of 43 weeks (range 23–58), i.e. 31 weeks (range 11–47) after the third HIV-DNA instead of the intended 12-week gap, and this was similar across the first and second randomisation groups. The 16-week interval between the two boost vaccinations was maintained. Other reasons for early termination included pregnancy in 11/50 (22%), adverse events that were not considered to be related to vaccine in 7/50 (14%) and HIV infection in 3/50 (6%) cases. Overall, out of 191 vaccine recipients, 177 (92.7%) completed all three prime vaccinations but only 152 continued with source=biomedica enhanced_caption=O: The study flow, retention to the vaccination schedule and contribution to analysis datasets are shown in ="fig" "pone.0206838.g001">Fig 1 . Overall, 50 of 211 (23.7%) participants did not complete the vaccination schedule, with 26/50 (52%) dropping out after the last HIV-DNA vaccination, mainly due to a substantial delay in the first HIV-MVA boost whilst a stability concern was addressed. The first boost was delivered at a median of 43 weeks (range 23–58), i.e. 31 weeks (range 11–47) after the third HIV-DNA instead of the intended 12-week gap, and this was similar across the first and second randomisation groups. The 16-week interval between the two boost vaccinations was maintained. Other reasons for early termination included pregnancy in 11/50 (22%), adverse events that were not considered to be related to vaccine in 7/50 (14%) and HIV infection in 3/50 (6%) cases. Overall, out of 191 vaccine recipients, 177 (92.7%) completed all three prime vaccinations but only 152 continued wi think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00116729.jpg caption=As shown in ="fig" "pone.0209964.g002">Fig 2 , reactive free amine content in plasma (, reactive free amine content in plasma ( ="fig" "pone.0209964.g002">Fig 2a ) and in peri-infarct and remote myocardial areas () and in peri-infarct and remote myocardial areas ( ="fig" "pone.0209964.g002">Fig 2b ) was similar between groups. Cardiac tissue homogenates were also compared for protein carbonyl content, and no significant difference was found () was similar between groups. Cardiac tissue homogenates were also compared for protein carbonyl content, and no significant difference was found ( ="fig" "pone.0209964.g002">Fig 2d ). Protein carbonyl plasma levels were increased at 30 days in MI). Protein carbonyl plasma levels were increased at 30 days in MIlowEF compared with MIintermEF animals. However, no difference was detected at the end of follow-up ( ="fig" "pone.0209964.g002">Fig 2c ).). source=biomedica enhanced_caption=O: As shown in ="fig" "pone.0209964.g002">Fig 2 , reactive free amine content in plasma (, reactive free amine content in plasma ( ="fig" "pone.0209964.g002">Fig 2a ) and in peri-infarct and remote myocardial areas () and in peri-infarct and remote myocardial areas ( ="fig" "pone.0209964.g002">Fig 2b ) was similar between groups. Cardiac tissue homogenates were also compared for protein carbonyl content, and no significant difference was found () was similar between groups. Cardiac tissue homogenates were also compared for protein carbonyl content, and no significant difference was found ( ="fig" "pone.0209964.g002">Fig 2d ). Protein carbonyl plasma levels were increased at 30 days in MI). Protein carbonyl plasma levels were increased at 30 days in MIlowEF compared with MIintermEF animals. However, no difference was detected at the end of follow-up ( ="fig" "pone.0209964.g002">Fig 2c ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00709229.jpg caption=The mean number of face-to-face sessions (exposure) attended by the FACE group was 6.1 (excluding Week 1 & 12 due to data collection, and drop-outs). The mean number of logins (exposure) for the IM group was 11.5 and 11.8 for the IO group. However, internet access ranged from 2–102 times for the IM group, and 2–90 times for the IO group over the entire intervention period. Taking into account multiple logins each week for the internet-groups, overall average attendance for all three groups was 5.5 sessions (SD ± 2.3). A decline in weekly exposure was observed for each intervention group (Figure ="fig" "1479-5868-4-7-1">1 ).). source=biomedica enhanced_caption=O: The mean number of face-to-face sessions (exposure) attended by the FACE group was 6.1 (excluding Week 1 & 12 due to data collection, and drop-outs). The mean number of logins (exposure) for the IM group was 11.5 and 11.8 for the IO group. However, internet access ranged from 2–102 times for the IM group, and 2–90 times for the IO group over the entire intervention period. Taking into account multiple logins each week for the internet-groups, overall average attendance for all three groups was 5.5 sessions (SD ± 2.3). A decline in weekly exposure was observed for each intervention group (Figure ="fig" "1479-5868-4-7-1">1 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=25yo White male
file_name=biomedica_00447400.jpg caption=Eleven cohorts studies [17,19–22,25,28–30,32,33] evaluated outdoor activity time. The results [19,20,30,32,33] of our review demonstrated that longer outdoor activity time could decrease the risk of myopia onset (RR = 0.97; 95% CI: 0.95–0.98; I2: 76.9%; n = 16455; 5 cohort studies; low certainty of evidence; "pone.0291470.g005" ="fig">Fig 5 ). One [). One [17] study showed children who did high-intensity and long-term outdoor exercise may decrease the risk of myopia onset compared with children who played less. On weekdays, myopic children devote more time to outdoor activity time than nonmyopic children (Ref: < 30min; ≥30 min: RR = 0.90; 95% CI: 0.90–0.99) [25]. Two studies reported adequate outdoor activity time could be adapted to reduce the risk of myopia (≥9.33 hours, <14 hours [21], or >22.5 hours [30]). Overall, the results of four studies [19–21,29] demonstrated that more nine-work time may increase the possibility of myopia onset (RR: 1.05; 95% CI: 1.02–1.07; I2: 22.2%; n = 46 source=biomedica enhanced_caption=O: Eleven cohorts studies [17,19–22,25,28–30,32,33] evaluated outdoor activity time. The results [19,20,30,32,33] of our review demonstrated that longer outdoor activity time could decrease the risk of myopia onset (RR = 0.97; 95% CI: 0.95–0.98; I2: 76.9%; n = 16455; 5 cohort studies; low certainty of evidence; "pone.0291470.g005" ="fig">Fig 5 ). One [). One [17] study showed children who did high-intensity and long-term outdoor exercise may decrease the risk of myopia onset compared with children who played less. On weekdays, myopic children devote more time to outdoor activity time than nonmyopic children (Ref: < 30min; ≥30 min: RR = 0.90; 95% CI: 0.90–0.99) [25]. Two studies reported adequate outdoor activity time could be adapted to reduce the risk of myopia (≥9.33 hours, <14 hours [21], or >22.5 hours [30]). Overall, the results of four studies [19–21,29] demonstrated that more nine-work time may increase the possibility of myopia onset (RR: 1.05; 95% CI: 1.02–1.07; I2: 22.2%; n = think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=42yo Black female
file_name=biomedica_00023380.jpg caption=Having established that Shv genetically interacts with integrin to maintain stem cell niche integrity, we tested whether Shv activates integrin signaling. Based on the presence of a signal peptide sequence, we propose Shv is secreted to activate integrin pathway extracellularly. To examine secretion of Shv, we transfected Drosophila Schneider’s (S2) cells with Shv tagged with V5 and assayed for the presence of Shv in the media. Shv was detected in the media of transfected cells, but not if the signal peptide was removed from Shv (NoSP-Shv; ="fig" "pgen.1006043.g004">Fig 4A ), indicating Shv is a secreted protein. To understand whether Shv activates integrin via an outside-in signaling mechanism, we tested the ability of extracellularly applied Shv to activate integrin by measuring the extent of focal adhesion kinase (FAK) phosphorylation. Previous studies have indicated a strong correlation between integrin activation and autophosphorylation of FAK at Tyr397 site [), indicating Shv is source=biomedica enhanced_caption=O: Having established that Shv genetically interacts with integrin to maintain stem cell niche integrity, we tested whether Shv activates integrin signaling. Based on the presence of a signal peptide sequence, we propose Shv is secreted to activate integrin pathway extracellularly. To examine secretion of Shv, we transfected Drosophila Schneider’s (S2) cells with Shv tagged with V5 and assayed for the presence of Shv in the media. Shv was detected in the media of transfected cells, but not if the signal peptide was removed from Shv (NoSP-Shv; ="fig" "pgen.1006043.g004">Fig 4A ), indicating Shv is a secreted protein. To understand whether Shv activates integrin via an outside-in signaling mechanism, we tested the ability of extracellularly applied Shv to activate integrin by measuring the extent of focal adhesion kinase (FAK) phosphorylation. Previous studies have indicated a strong correlation between integrin activation and autophosphorylation of FAK at Tyr397 site [), indicating Shv think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=45yo Black male
file_name=biomedica_00004720.jpg caption=The present study subsequently investigated the effects of VEGF-A on the phosphorylation of paxillin in HUVECs by immunoprecipitation. The HUVECs were treated with 20 ng/ml VEGF-A for 0, 20, 40 and 60 min. Immunoblots using antibodies specific to paxillin phosphorylated at PY118 or PY31 revealed that the phosphorylation of paxillin at PY118 and PY31 increased in an incubation time-dependent manner ( "MMR-[DATE]-g01" ="fig">Fig. 2 ).). source=biomedica enhanced_caption=O: The present study subsequently investigated the effects of VEGF-A on the phosphorylation of paxillin in HUVECs by immunoprecipitation. The HUVECs were treated with 20 ng/ml VEGF-A for 0, 20, 40 and 60 min. Immunoblots using antibodies specific to paxillin phosphorylated at PY118 or PY31 revealed that the phosphorylation of paxillin at PY118 and PY31 increased in an incubation time-dependent manner ( "MMR-[DATE]-g01" ="fig">Fig. 2 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=42yo Black female
file_name=biomedica_00532659.jpg caption=Among the 1,469 genomic regions, 150 regions contained at least one 6-mer seed motif of miR-155 (GCATTA). These represented the putative miR-155 targets, as evidenced by the accumulation of a large number of deletion mutations immediately upstream of the miR-155 seed motif matches in the mapped reads (Figure ="fig" "gb-2014-15-1-r11-5">5 a). Among these 150 regions, 114 overlapped with the 3ʹUTR of at least one gene (Figure a). Among these 150 regions, 114 overlapped with the 3ʹUTR of at least one gene (Figure ="fig" "gb-2014-15-1-r11-5">5 b), consistent with previous knowledge of the miRNA targeting mechanism. In the original publication [b), consistent with previous knowledge of the miRNA targeting mechanism. In the original publication [4], by using an ad hoc approach, the authors identified a list of 108 targets that satisfied the same criteria: stronger binding in wild-type than in knockout; located in the 3’UTR of at least one gene; and at least one seed motif match. There were 5 source=biomedica enhanced_caption=O: Among the 1,469 genomic regions, 150 regions contained at least one 6-mer seed motif of miR-155 (GCATTA). These represented the putative miR-155 targets, as evidenced by the accumulation of a large number of deletion mutations immediately upstream of the miR-155 seed motif matches in the mapped reads (Figure ="fig" "gb-2014-15-1-r11-5">5 a). Among these 150 regions, 114 overlapped with the 3ʹUTR of at least one gene (Figure a). Among these 150 regions, 114 overlapped with the 3ʹUTR of at least one gene (Figure ="fig" "gb-2014-15-1-r11-5">5 b), consistent with previous knowledge of the miRNA targeting mechanism. In the original publication [b), consistent with previous knowledge of the miRNA targeting mechanism. In the original publication [4], by using an ad hoc approach, the authors identified a list of 108 targets that satisfied the same criteria: stronger binding in wild-type than in knockout; located in the 3’UTR of at least one gene; and at least one seed motif match. There wer think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=64yo Pacific Islander male
file_name=biomedica_00155293.jpg caption=Recorded drug-related crimes and public order/criminal damage offences show notably different trends. On the one hand, drug crime levels decreased immediately after each COVID-19 lockdown and progressively returned to pre-COVID levels during the following months. On the other hand, our analysis of criminal damage shows that crime decreased immediately after the first (and third) lockdowns, and then returned to the overall linear trendline, but the observed effect of the second lockdown was different to those seen above, showing a decrease in crime after October 2020. Changes in public order and possession of weapons offences were mainly driven by pre-COVID seasonal crime variation. This can be seen both in Fig. "40163_2021_162_Fig4_HTML" ="fig">4 and Table and Table 2. The trend of criminal damage during the pandemic also follows remarkably similar patterns to pre-COVID trends, with seasonal increases during summer and lower levels in winter. Changes in criminal damage are related to b source=biomedica enhanced_caption=O: Recorded drug-related crimes and public order/criminal damage offences show notably different trends. On the one hand, drug crime levels decreased immediately after each COVID-19 lockdown and progressively returned to pre-COVID levels during the following months. On the other hand, our analysis of criminal damage shows that crime decreased immediately after the first (and third) lockdowns, and then returned to the overall linear trendline, but the observed effect of the second lockdown was different to those seen above, showing a decrease in crime after October 2020. Changes in public order and possession of weapons offences were mainly driven by pre-COVID seasonal crime variation. This can be seen both in Fig. "40163_2021_162_Fig4_HTML" ="fig">4 and Table and Table 2. The trend of criminal damage during the pandemic also follows remarkably similar patterns to pre-COVID trends, with seasonal increases during summer and lower levels in winter. Changes in criminal damage are related t think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=71yo Asian male
file_name=biomedica_00334707.jpg caption=The proposed system is compared with the following algorithm such as sine-cosine algorithm (SCA) (Mirjalili, 2016), salp swarm algorithm (SSA) (Mirjalili et al., 2017), Jaya Algorithm (JA) (Rao, 2016), Bat algorithm (BA) (Yang, 2010), and grey wolf optimization algorithm (GWO) (Mirjalili et al., 2014), used for the feature selection task of IDS. Afterward the performance of two classifiers KNN and XGBoost is compared with these feature selection methods. "fdata-06-1081466-g0002" ="fig">Figure 2 depicts that the SCA-SSA with KNN and XGBoost attains the highest accuracy of 83.3% with the KNN classifier and 84.75% with the XGBoost classifier. On the other side, BA attains the minimum accuracy of 82.6% with KNN and 83.9% with the XGBoost classifier. depicts that the SCA-SSA with KNN and XGBoost attains the highest accuracy of 83.3% with the KNN classifier and 84.75% with the XGBoost classifier. On the other side, BA attains the minimum accuracy of 82.6% with KNN and 83.9% with the XGBoost source=biomedica enhanced_caption=O: The proposed system is compared with the following algorithm such as sine-cosine algorithm (SCA) (Mirjalili, 2016), salp swarm algorithm (SSA) (Mirjalili et al., 2017), Jaya Algorithm (JA) (Rao, 2016), Bat algorithm (BA) (Yang, 2010), and grey wolf optimization algorithm (GWO) (Mirjalili et al., 2014), used for the feature selection task of IDS. Afterward the performance of two classifiers KNN and XGBoost is compared with these feature selection methods. "fdata-06-1081466-g0002" ="fig">Figure 2 depicts that the SCA-SSA with KNN and XGBoost attains the highest accuracy of 83.3% with the KNN classifier and 84.75% with the XGBoost classifier. On the other side, BA attains the minimum accuracy of 82.6% with KNN and 83.9% with the XGBoost classifier. depicts that the SCA-SSA with KNN and XGBoost attains the highest accuracy of 83.3% with the KNN classifier and 84.75% with the XGBoost classifier. On the other side, BA attains the minimum accuracy of 82.6% with KNN and 83.9% with the XGBoo think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00086648.jpg caption=A total of 6 patients received computed tomography (CT) examination. The abdominal plain film showed multiple circular or semicircle light transmission areas with different sizes and scattered or beaded distribution ( "tjg-34-11-1116_f003" ="fig">Figure 3A ). Small cystic and clustered low-density shadows can be seen under the serosa of ascending colon and hepatic flexure (). Small cystic and clustered low-density shadows can be seen under the serosa of ascending colon and hepatic flexure ( "tjg-34-11-1116_f003" ="fig">Figure 3B -- "tjg-34-11-1116_f003" ="fig">D ). Free air, bowel dilatation, bowel wall thickening, ascites, and portomesenteric venous gas were not seen in these patients.). Free air, bowel dilatation, bowel wall thickening, ascites, and portomesenteric venous gas were not seen in these patients. source=biomedica enhanced_caption=O: A total of 6 patients received computed tomography (CT) examination. The abdominal plain film showed multiple circular or semicircle light transmission areas with different sizes and scattered or beaded distribution ( "tjg-34-11-1116_f003" ="fig">Figure 3A ). Small cystic and clustered low-density shadows can be seen under the serosa of ascending colon and hepatic flexure (). Small cystic and clustered low-density shadows can be seen under the serosa of ascending colon and hepatic flexure ( "tjg-34-11-1116_f003" ="fig">Figure 3B -- "tjg-34-11-1116_f003" ="fig">D ). Free air, bowel dilatation, bowel wall thickening, ascites, and portomesenteric venous gas were not seen in these patients.). Free air, bowel dilatation, bowel wall thickening, ascites, and portomesenteric venous gas were not seen in these patients. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD Z12.9 assigned → Moderate uncertainty due to limited context</think> icd_code=Z12.9 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00563326.jpg caption=Twelve-lead electrocardiogram (25 mm/s, 10 mm/mV) and rhythm strip (DII) from 2021. QRS duration 100 ms, QT interval 554, QTc interval 500, R-R interval 1230 ms, P wave 176 ms, PR interval 198 ms. source=biomedica enhanced_caption=O: Twelve-lead electrocardiogram (25 mm/s, 10 mm/mV) and rhythm strip (DII) from 2021. QRS duration 100 ms, QT interval 554, QTc interval 500, R-R interval 1230 ms, P wave 176 ms, PR interval 198 ms. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00097359.jpg caption=To characterize the biochemical properties of the studied DPP4, an enzyme inhibitor analysis was performed using specific peptidase inhibitors. Both S. alkalinus F11 and C. antarcticum M27 showed a marked inhibition of the enzyme by a specific serine peptidase inhibitor. The addition of 2.5 mM phenylmethylsulfonyl fluoride (PMSF) decreased the DPP4 activity of the F11 strain to 13.7%, and that of M27 strain to 9.3% of the control. The action of DPP IV inhibitors diprotin A and vildagliptin also reduced the studied enzymatic activity. In addition, the strongest inhibitory effect on S. alkalinus F11 DPP4 was produced by 0.25 mM diprotin A (reduced activity to 3.2% of the control), and, on C. antarcticum M27 DPP4, by 0.25 mM vildagliptin (7.4% of the control). At the same time, competitive PSP inhibitors, such as Ala-Pro (AP)-N-methylformamide (MF), AP-N-methyl-2-pyrrolidone (NMP), and AP-pipecolic acid (Pip), did not decrease DPP4 activity in both cases. The cysteine peptidase inhibitor source=biomedica enhanced_caption=O: To characterize the biochemical properties of the studied DPP4, an enzyme inhibitor analysis was performed using specific peptidase inhibitors. Both S. alkalinus F11 and C. antarcticum M27 showed a marked inhibition of the enzyme by a specific serine peptidase inhibitor. The addition of 2.5 mM phenylmethylsulfonyl fluoride (PMSF) decreased the DPP4 activity of the F11 strain to 13.7%, and that of M27 strain to 9.3% of the control. The action of DPP IV inhibitors diprotin A and vildagliptin also reduced the studied enzymatic activity. In addition, the strongest inhibitory effect on S. alkalinus F11 DPP4 was produced by 0.25 mM diprotin A (reduced activity to 3.2% of the control), and, on C. antarcticum M27 DPP4, by 0.25 mM vildagliptin (7.4% of the control). At the same time, competitive PSP inhibitors, such as Ala-Pro (AP)-N-methylformamide (MF), AP-N-methyl-2-pyrrolidone (NMP), and AP-pipecolic acid (Pip), did not decrease DPP4 activity in both cases. The cysteine peptidase inhibit think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=48yo Middle Eastern male
file_name=biomedica_00051163.jpg caption=The systematic search of the 7 databases identified 4638 articles, of which 227 were included for full-text screening. One additional trial was identified from another source. A total of 15 randomized controlled trials with 7415 participants met all the eligibility criteria and were included in the analysis ( "mhealth_v10i7e34767_fig1" ="fig">Figure 1 ).). source=biomedica enhanced_caption=O: The systematic search of the 7 databases identified 4638 articles, of which 227 were included for full-text screening. One additional trial was identified from another source. A total of 15 randomized controlled trials with 7415 participants met all the eligibility criteria and were included in the analysis ( "mhealth_v10i7e34767_fig1" ="fig">Figure 1 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD Z13.9 assigned → Moderate uncertainty due to limited context</think> icd_code=Z13.9 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00041571.jpg caption=The main cause of cell line mix-ups is suggested to be human error (Alston-Roberts et al., 2010; Yu et al., 2015; Almeida et al., 2016). It is therefore crucial to have means to monitor these errors rapidly and periodically. While the American Type Culture Collection (ATCC) offers an STR-based cell line authentication service, the overall procedure requires shipping consumables and samples back-and-forth and takes 2 weeks to complete. This works sufficiently in situations of cell line contamination that originate from mislabeling of a cell culture (100% contamination). Yet, a processing time of 2 weeks is suboptimal when caused by the mistaken transfer of cells from one culture to another, which can lead to cases of fitness competition between the cell lines (Alston-Roberts et al., 2010; Yu et al., 2015). It takes only 10 cells from a line with a doubling time that is 2–4 hr shorter than that of the original strain to overgrow an initial culture (106 cells) within 2 weeks ( ="fig" "eli source=biomedica enhanced_caption=O: The main cause of cell line mix-ups is suggested to be human error (Alston-Roberts et al., 2010; Yu et al., 2015; Almeida et al., 2016). It is therefore crucial to have means to monitor these errors rapidly and periodically. While the American Type Culture Collection (ATCC) offers an STR-based cell line authentication service, the overall procedure requires shipping consumables and samples back-and-forth and takes 2 weeks to complete. This works sufficiently in situations of cell line contamination that originate from mislabeling of a cell culture (100% contamination). Yet, a processing time of 2 weeks is suboptimal when caused by the mistaken transfer of cells from one culture to another, which can lead to cases of fitness competition between the cell lines (Alston-Roberts et al., 2010; Yu et al., 2015). It takes only 10 cells from a line with a doubling time that is 2–4 hr shorter than that of the original strain to overgrow an initial culture (106 cells) within 2 weeks ( ="fig" " think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=45yo Black male
file_name=biomedica_00403815.jpg caption=Polyamide (Kapton) sheets (Dupont, www.dupont.com), with measured mean ± standard deviation thicknesses of 12.5±0.0, 27.5±0.0, 55.0±0.0, and 127.0±0.0 μm and density (1.42 g/cm3) slightly higher than that of tissue, were used to vary the distance between the detector and the gold foil. The distance between the source and the detector was fixed (4.5 mm) for each measurement, while the distance between the detector and the gold foil was varied by placing different number and/or thicknesses of polyamide sheets in between them. Thus, the detector, Polyamide sheets, and the gold foil were placed parallel to each other and irradiated with a single dwell position of the clinical Ir‐192 HDR source (VariSource IX Afterloader, Varian Medical Systems, Palo Alto, CA) placed in a catheter fixed in the middle of a Teflon holder just underneath the middle of the detector. Radiation from the source was incident perpendicular to the center of detector surface. The experimental setup is schematically sh source=biomedica enhanced_caption=O: Polyamide (Kapton) sheets (Dupont, www.dupont.com), with measured mean ± standard deviation thicknesses of 12.5±0.0, 27.5±0.0, 55.0±0.0, and 127.0±0.0 μm and density (1.42 g/cm3) slightly higher than that of tissue, were used to vary the distance between the detector and the gold foil. The distance between the source and the detector was fixed (4.5 mm) for each measurement, while the distance between the detector and the gold foil was varied by placing different number and/or thicknesses of polyamide sheets in between them. Thus, the detector, Polyamide sheets, and the gold foil were placed parallel to each other and irradiated with a single dwell position of the clinical Ir‐192 HDR source (VariSource IX Afterloader, Varian Medical Systems, Palo Alto, CA) placed in a catheter fixed in the middle of a Teflon holder just underneath the middle of the detector. Radiation from the source was incident perpendicular to the center of detector surface. The experimental setup is schematically think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00059744.jpg caption=Corneal transplantation (CT) is indicated via any processes leading to loss of corneal transparency, with neuroretinal integrity and optimal visual potential otherwise preserved [4]. CT is usually required for the management of advanced corneal dystrophies, corneal degenerations, and occluding corneal scars secondary to mechanical, chemical, or thermal injuries, all without comorbid ocular disease conditions to consider ( "clinpract-13-00024-g001" ="fig">Figure 1 ).). source=biomedica enhanced_caption=O: Corneal transplantation (CT) is indicated via any processes leading to loss of corneal transparency, with neuroretinal integrity and optimal visual potential otherwise preserved [4]. CT is usually required for the management of advanced corneal dystrophies, corneal degenerations, and occluding corneal scars secondary to mechanical, chemical, or thermal injuries, all without comorbid ocular disease conditions to consider ( "clinpract-13-00024-g001" ="fig">Figure 1 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=42yo Black female
file_name=pathvqa_00012411.jpg caption=Pathology Question: is vascular changes and fibrosis of salivary glands produced by radiation therapy of the neck region? Answer: yes source=pathvqa enhanced_caption=O: Pathology Question: is vascular changes and fibrosis of salivary glands produced by radiation therapy of the neck region? Answer: yes A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=pathology demographic=71yo Asian male
file_name=biomedica_00561073.jpg caption=1H NMR spectra of all MYC‐derived sequences were acquired to evaluate their folding and to test for structural heterogeneities under the solution conditions employed (Figures "CHEM-26-17242-g003" ="fig">3 and S1). Focusing on the Hoogsteen imino proton spectral region between 10.5 and 12.0 ppm, 12 resonances are generally expected for a single quadruplex with three G‐tetrad layers, corresponding to 3×4 hydrogen‐bonded guanine bases. Whereas the parent full‐length and S1). Focusing on the Hoogsteen imino proton spectral region between 10.5 and 12.0 ppm, 12 resonances are generally expected for a single quadruplex with three G‐tetrad layers, corresponding to 3×4 hydrogen‐bonded guanine bases. Whereas the parent full‐length MYC sequence shows extensive polymorphism with multiple G4 species as suggested by its crowded imino proton spectral region, the spectra of some mutated sequences are in line with a single fold without noticeable additional species. These include not only MYC‐Δ1,6[1.2. source=biomedica enhanced_caption=O: 1H NMR spectra of all MYC‐derived sequences were acquired to evaluate their folding and to test for structural heterogeneities under the solution conditions employed (Figures "CHEM-26-17242-g003" ="fig">3 and S1). Focusing on the Hoogsteen imino proton spectral region between 10.5 and 12.0 ppm, 12 resonances are generally expected for a single quadruplex with three G‐tetrad layers, corresponding to 3×4 hydrogen‐bonded guanine bases. Whereas the parent full‐length and S1). Focusing on the Hoogsteen imino proton spectral region between 10.5 and 12.0 ppm, 12 resonances are generally expected for a single quadruplex with three G‐tetrad layers, corresponding to 3×4 hydrogen‐bonded guanine bases. Whereas the parent full‐length MYC sequence shows extensive polymorphism with multiple G4 species as suggested by its crowded imino proton spectral region, the spectra of some mutated sequences are in line with a single fold without noticeable additional species. These include not only MYC‐Δ1,6[1 think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=71yo Asian male
file_name=biomedica_00588736.jpg caption=As a proof of concept, this novel double-helix chip system can be used in continuous-flow PCR to detect clinical serum samples. In order to be able to count the number of droplets more accurately, we designed an automatic image recognition and processing analysis software for counting the number of droplets in a video shot in CMOS camera. The video is imported into this software for contrast and brightness modification, making it easier to distinguish between low-brightness droplets and high-brightness droplets. In order to determine the brightness threshold of digital PCR negative droplets, we first analyzed the fluorescence of the negative control group. The brightness of the droplets is counted as low brightness and the data is represented in Fig. "41598_2020_74711_Fig6_HTML" ="fig">6 a as a criterion for distinguishing between high brightness and low brightness. Just by selecting an area on the pipe whose reagent has not been reacted, and the software automatically records the rela source=biomedica enhanced_caption=O: As a proof of concept, this novel double-helix chip system can be used in continuous-flow PCR to detect clinical serum samples. In order to be able to count the number of droplets more accurately, we designed an automatic image recognition and processing analysis software for counting the number of droplets in a video shot in CMOS camera. The video is imported into this software for contrast and brightness modification, making it easier to distinguish between low-brightness droplets and high-brightness droplets. In order to determine the brightness threshold of digital PCR negative droplets, we first analyzed the fluorescence of the negative control group. The brightness of the droplets is counted as low brightness and the data is represented in Fig. "41598_2020_74711_Fig6_HTML" ="fig">6 a as a criterion for distinguishing between high brightness and low brightness. Just by selecting an area on the pipe whose reagent has not been reacted, and the software automatically records the r think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00360985.jpg caption=There were no significant linear relationships between stable isotope signals of the estuarine SPOM and salinity ( ="fig" "pone.0217003.g003">Fig 3 ). On average, however, the values of the δ). On average, however, the values of the δ13C values of the freshwater SPOM were lower than the δ13C values of the estuarine SPOM ( ="fig" "pone.0217003.g003">Fig 3 ). The means of δ). The means of δ13C of all three sources had significantly (p < 0.05) different values, whereas the means of δ15N were not significantly different between the sources. source=biomedica enhanced_caption=O: There were no significant linear relationships between stable isotope signals of the estuarine SPOM and salinity ( ="fig" "pone.0217003.g003">Fig 3 ). On average, however, the values of the δ). On average, however, the values of the δ13C values of the freshwater SPOM were lower than the δ13C values of the estuarine SPOM ( ="fig" "pone.0217003.g003">Fig 3 ). The means of δ). The means of δ13C of all three sources had significantly (p < 0.05) different values, whereas the means of δ15N were not significantly different between the sources. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00299259.jpg caption=Experimental evidence for all three error scenarios is abundant and typical examples are shown in ="fig" "gkt556f2p">Figure 2 . Thus, unrepaired DSBs can surface as chromatid or chromosome breaks in the subsequent metaphase (. Thus, unrepaired DSBs can surface as chromatid or chromosome breaks in the subsequent metaphase ( ="fig" "gkt556f2p">Figure 2 A); error-prone repair events can lead to large losses of sequence information inactivating a gene, for example, the HPRT gene (A); error-prone repair events can lead to large losses of sequence information inactivating a gene, for example, the HPRT gene ( ="fig" "gkt556f2p">Figure 2 B). Finally, the joining of wrong ends can cause translocations that can kill cells or can transform them to cancer cells (B). Finally, the joining of wrong ends can cause translocations that can kill cells or can transform them to cancer cells ( ="fig" "gkt556f2p">Figure 2 C and the ring chromosome in 2A). C and the ring chromosome in 2A). Figure 2.Three scen source=biomedica enhanced_caption=O: Experimental evidence for all three error scenarios is abundant and typical examples are shown in ="fig" "gkt556f2p">Figure 2 . Thus, unrepaired DSBs can surface as chromatid or chromosome breaks in the subsequent metaphase (. Thus, unrepaired DSBs can surface as chromatid or chromosome breaks in the subsequent metaphase ( ="fig" "gkt556f2p">Figure 2 A); error-prone repair events can lead to large losses of sequence information inactivating a gene, for example, the HPRT gene (A); error-prone repair events can lead to large losses of sequence information inactivating a gene, for example, the HPRT gene ( ="fig" "gkt556f2p">Figure 2 B). Finally, the joining of wrong ends can cause translocations that can kill cells or can transform them to cancer cells (B). Finally, the joining of wrong ends can cause translocations that can kill cells or can transform them to cancer cells ( ="fig" "gkt556f2p">Figure 2 C and the ring chromosome in 2A). C and the ring chromosome in 2A). Figure 2.Three s think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00585453.jpg caption=PG-120, a derivative with a significantly truncated lower side chain, showed some residual cytotoxic activity (LC50 = 3426 nM), whereas PG-119, a derivative with an acetyl residue as the lower side chain, showed no activity within the concentration range tested ( ="fig" "pntd.0002143.g003">Figure 3 , , Table 1). For all compounds, except PG-120, concentrations required for cytotoxic activity (as measured by flow cytometry), reduction of metabolic activity in an Alamar Blue-based assay, changes in the intensity and pattern of phalloidin-staining of the actin cytoskeleton and changes in the round, clear-edged and uniformly stained nuclear morphology of normal cells were in the same range. While the IC50 value for PG-120 (171 nM; Table 1), was twenty-fold lower than the LC50, the LC50/IC50 ratios of all other compounds with widely varying toxic potency ranged between 1.5 and 3.2 (Table 1). Furthermore, at such sub-lethal PG-120 concentrations a marked reduction in cell proliferation ( ="f source=biomedica enhanced_caption=O: PG-120, a derivative with a significantly truncated lower side chain, showed some residual cytotoxic activity (LC50 = 3426 nM), whereas PG-119, a derivative with an acetyl residue as the lower side chain, showed no activity within the concentration range tested ( ="fig" "pntd.0002143.g003">Figure 3 , , Table 1). For all compounds, except PG-120, concentrations required for cytotoxic activity (as measured by flow cytometry), reduction of metabolic activity in an Alamar Blue-based assay, changes in the intensity and pattern of phalloidin-staining of the actin cytoskeleton and changes in the round, clear-edged and uniformly stained nuclear morphology of normal cells were in the same range. While the IC50 value for PG-120 (171 nM; Table 1), was twenty-fold lower than the LC50, the LC50/IC50 ratios of all other compounds with widely varying toxic potency ranged between 1.5 and 3.2 (Table 1). Furthermore, at such sub-lethal PG-120 concentrations a marked reduction in cell proliferation ( think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00295486.jpg caption=We mated KO and LOX females with C57BL/6J (WT) males and analyzed the maternal thymus at the end of gestation when thymic involution reaches a nadir ( "fimmu-14-1016378-g005" ="fig"> <bold>Figure 5A</bold> ). Pregnancy-induced thymic involution was more severe in KO females. They presented a lower thymic weight and a 45% decrease in thymocyte numbers compared to LOX females (Figure 5A ). Pregnancy-induced thymic involution was more severe in KO females. They presented a lower thymic weight and a 45% decrease in thymocyte numbers compared to LOX females ( "fimmu-14-1016378-g005" ="fig"> <bold>Figures 5B, C</bold> ). This thymocyte loss in KO pregnant females was TEC-dependent as Figures 5B, C ). This thymocyte loss in KO pregnant females was TEC-dependent as Klf4 was solely deleted in TECs ( Supplementary Figures 1C, D ). The global thymocyte loss affected all subsets but was more severe for CD4 and CD8 SP thymocytes, whose proportion was decreased ( "fimmu-14-1016378-g005" ="fig"> <bol source=biomedica enhanced_caption=O: We mated KO and LOX females with C57BL/6J (WT) males and analyzed the maternal thymus at the end of gestation when thymic involution reaches a nadir ( "fimmu-14-1016378-g005" ="fig"> <bold>Figure 5A</bold> ). Pregnancy-induced thymic involution was more severe in KO females. They presented a lower thymic weight and a 45% decrease in thymocyte numbers compared to LOX females (Figure 5A ). Pregnancy-induced thymic involution was more severe in KO females. They presented a lower thymic weight and a 45% decrease in thymocyte numbers compared to LOX females ( "fimmu-14-1016378-g005" ="fig"> <bold>Figures 5B, C</bold> ). This thymocyte loss in KO pregnant females was TEC-dependent as Figures 5B, C ). This thymocyte loss in KO pregnant females was TEC-dependent as Klf4 was solely deleted in TECs ( Supplementary Figures 1C, D ). The global thymocyte loss affected all subsets but was more severe for CD4 and CD8 SP thymocytes, whose proportion was decreased ( "fimmu-14-1016378-g005" ="fig"> < think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00656464.jpg caption=Fisher’s exact test was used in order to identify significant statistical connections between IUC and the sex of parents, the sex of children, the reasons for consultation indicated by the treating doctors, specific subgroups of acute illnesses, and the use of the three most common OR (all nominally scaled, dichotomous). The remaining OR were not used for statistical testing as the numbers of users were too low to produce conclusive results (2 ≤ n ≤ 8) (Fig. "12887_2016_677_Fig3_HTML" ="fig">3 )).)). Almost three out of four parents (73.1 %) who make use of other child health information resources consult a family member or friend. This portion is followed by parents who talk to another doctor (26.9 %) and parents who consult a pharmacist (20.5 %) before attending the pediatric out-patient clinic (Fig. "12887_2016_677_Fig3_HTML" ="fig">3 ). Seventy-eight parents answered this item. Multiple answers were possible. All OR are shown in Fig. ). Seventy-eight parents answered this item. Mul source=biomedica enhanced_caption=O: Fisher’s exact test was used in order to identify significant statistical connections between IUC and the sex of parents, the sex of children, the reasons for consultation indicated by the treating doctors, specific subgroups of acute illnesses, and the use of the three most common OR (all nominally scaled, dichotomous). The remaining OR were not used for statistical testing as the numbers of users were too low to produce conclusive results (2 ≤ n ≤ 8) (Fig. "12887_2016_677_Fig3_HTML" ="fig">3 )).)). Almost three out of four parents (73.1 %) who make use of other child health information resources consult a family member or friend. This portion is followed by parents who talk to another doctor (26.9 %) and parents who consult a pharmacist (20.5 %) before attending the pediatric out-patient clinic (Fig. "12887_2016_677_Fig3_HTML" ="fig">3 ). Seventy-eight parents answered this item. Multiple answers were possible. All OR are shown in Fig. ). Seventy-eight parents answered this item. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00130334.jpg caption=According to three clinical parameters (diagnosis, CP class and hepatitis infection status), patients were classified into eight possible subgroups. For each patient subgroup, MLD was the only factor that contributed to an NTCP curve ( "rrab011f1" ="fig">Fig. 1 ).). source=biomedica enhanced_caption=O: According to three clinical parameters (diagnosis, CP class and hepatitis infection status), patients were classified into eight possible subgroups. For each patient subgroup, MLD was the only factor that contributed to an NTCP curve ( "rrab011f1" ="fig">Fig. 1 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00359714.jpg caption=White-crowned Sparrow offspring sex ratio measured prior to fledging in relation to experimental treatment and year for (a) complete broods (n = 63 nests), (b) incomplete broods (n = 340 nests) and (c) all broods combined (complete + incomplete; n = 403 nests). The dashed horizontal line within each panel indicates a 1:1 sex ratio. source=biomedica enhanced_caption=O: White-crowned Sparrow offspring sex ratio measured prior to fledging in relation to experimental treatment and year for (a) complete broods (n = 63 nests), (b) incomplete broods (n = 340 nests) and (c) all broods combined (complete + incomplete; n = 403 nests). The dashed horizontal line within each panel indicates a 1:1 sex ratio. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=42yo Black female
file_name=biomedica_00453113.jpg caption=DWR, BWR, and MWR slopes appeared to be variable in time (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 ). This variability was sample-scale dependent. When calculating scaling slopes across trophic groups, slopes were less variable in time when pooling all ten single samples per sampling season (Fig. ). This variability was sample-scale dependent. When calculating scaling slopes across trophic groups, slopes were less variable in time when pooling all ten single samples per sampling season (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 a) than when calculating slopes from sample averages (Fig. a) than when calculating slopes from sample averages (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 b). Cross-feeding group pooled samples of BWR (b). Cross-feeding group pooled samples of BWR (y = 0.02 ± 0.06) and MWR (z = 0.01 ± 0.06) slopes did not significantly differ from zero (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 a). When calculated from single samples (Fig. a). When calculated from single samples (Fig. source=biomedica enhanced_caption=O: DWR, BWR, and MWR slopes appeared to be variable in time (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 ). This variability was sample-scale dependent. When calculating scaling slopes across trophic groups, slopes were less variable in time when pooling all ten single samples per sampling season (Fig. ). This variability was sample-scale dependent. When calculating scaling slopes across trophic groups, slopes were less variable in time when pooling all ten single samples per sampling season (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 a) than when calculating slopes from sample averages (Fig. a) than when calculating slopes from sample averages (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 b). Cross-feeding group pooled samples of BWR (b). Cross-feeding group pooled samples of BWR (y = 0.02 ± 0.06) and MWR (z = 0.01 ± 0.06) slopes did not significantly differ from zero (Fig. "442_2015_3317_Fig3_HTML" ="fig">3 a). When calculated from single samples (Fig. a). When calculated from single samples (Fi think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00219472.jpg caption="sensors-24-04781-g008" ="fig">Figure 8 shows the photograph of the RC slab and its MM-wave images. shows the photograph of the RC slab and its MM-wave images. "sensors-24-04781-g008" ="fig">Figure 8 a shows the surface of the measured RC slab. The measurements were made on the surface corresponding to the bottom of the RC slab in a shows the surface of the measured RC slab. The measurements were made on the surface corresponding to the bottom of the RC slab in "sensors-24-04781-g007" ="fig">Figure 7 . It can be seen that the entire steel frame of #1 is visible, while the central regions of steel frames #2~#4 are partially buried under the concrete. . It can be seen that the entire steel frame of #1 is visible, while the central regions of steel frames #2~#4 are partially buried under the concrete. "sensors-24-04781-g008" ="fig">Figure 8 b–d shows the MM-wave images observed at a distance of b–d shows the MM-wave images observed at a distance of L = 1000 mm, L = 2000 mm, and L = 3050 m source=biomedica enhanced_caption=O: "sensors-24-04781-g008" ="fig">Figure 8 shows the photograph of the RC slab and its MM-wave images. shows the photograph of the RC slab and its MM-wave images. "sensors-24-04781-g008" ="fig">Figure 8 a shows the surface of the measured RC slab. The measurements were made on the surface corresponding to the bottom of the RC slab in a shows the surface of the measured RC slab. The measurements were made on the surface corresponding to the bottom of the RC slab in "sensors-24-04781-g007" ="fig">Figure 7 . It can be seen that the entire steel frame of #1 is visible, while the central regions of steel frames #2~#4 are partially buried under the concrete. . It can be seen that the entire steel frame of #1 is visible, while the central regions of steel frames #2~#4 are partially buried under the concrete. "sensors-24-04781-g008" ="fig">Figure 8 b–d shows the MM-wave images observed at a distance of b–d shows the MM-wave images observed at a distance of L = 1000 mm, L = 2000 mm, and L = 305 think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=25yo White male
file_name=biomedica_00248883.jpg caption=A comparison between a non-treated (on the left) and treated olive grove (on the right) located in the Otranto area (Lecce province; coordinates: Lat. 40.138095; Lon. 18.467825) within the “infected” area. It is evident to see the capability of tree restoration provided by the application of the control strategy. source=biomedica enhanced_caption=O: A comparison between a non-treated (on the left) and treated olive grove (on the right) located in the Otranto area (Lecce province; coordinates: Lat. 40.138095; Lon. 18.467825) within the “infected” area. It is evident to see the capability of tree restoration provided by the application of the control strategy. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=64yo Pacific Islander male
file_name=biomedica_00644501.jpg caption=The GAI was consistently positively associated with BP ( ="fig" "pntd.0008528.g005">Fig 5 ). The Pearson’s correlation coefficient ranged between 0.37 and 0.53. Areas with high GAI tended to have high BP, and areas with high BP were previously shown to be associated with high risk of dengue transmission [). The Pearson’s correlation coefficient ranged between 0.37 and 0.53. Areas with high GAI tended to have high BP, and areas with high BP were previously shown to be associated with high risk of dengue transmission [28]. Temporal relationship between GAI and dengue cases was examined using correlation analysis. As shown in ="fig" "pntd.0008528.g006">Fig 6 , there was no observed temporal relationship (, there was no observed temporal relationship (ρ = -0.14, P = 0.09) between GAI and dengue cases. However, when the GAI and dengue case data were analysed spatially at the treatment site level, it was found that treatment sites with high GAI were associated with a higher risk of dengue tr source=biomedica enhanced_caption=O: The GAI was consistently positively associated with BP ( ="fig" "pntd.0008528.g005">Fig 5 ). The Pearson’s correlation coefficient ranged between 0.37 and 0.53. Areas with high GAI tended to have high BP, and areas with high BP were previously shown to be associated with high risk of dengue transmission [). The Pearson’s correlation coefficient ranged between 0.37 and 0.53. Areas with high GAI tended to have high BP, and areas with high BP were previously shown to be associated with high risk of dengue transmission [28]. Temporal relationship between GAI and dengue cases was examined using correlation analysis. As shown in ="fig" "pntd.0008528.g006">Fig 6 , there was no observed temporal relationship (, there was no observed temporal relationship (ρ = -0.14, P = 0.09) between GAI and dengue cases. However, when the GAI and dengue case data were analysed spatially at the treatment site level, it was found that treatment sites with high GAI were associated with a higher risk of dengue think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00530810.jpg caption=Genetic variability based on mtDNA showed higher haplotype and nucleotide diversity in the two pinworms species in comparison with the host (Additional file 1: Table S4). In all cases, the West cluster had higher mtDNA diversity values than the East cluster; instead, no differences were observed for the nuclear diversity in the host. Genetic diversity is distinctly distributed in each species as shown in the interpolation maps, although certain similarities can be identified with mtDNA (Fig. "12862_2021_1924_Fig2_HTML" ="fig">2 ). Overall, eastern groups tend to be less genetically diverse compared to western ones, except for Santa Marta region (SMT) that has markedly lower genetic diversity in ). Overall, eastern groups tend to be less genetically diverse compared to western ones, except for Santa Marta region (SMT) that has markedly lower genetic diversity in T. multilabiatus.Fig. 2Interpolation maps showing the distribution of genetic diversity in the host and the two pinworm specie source=biomedica enhanced_caption=O: Genetic variability based on mtDNA showed higher haplotype and nucleotide diversity in the two pinworms species in comparison with the host (Additional file 1: Table S4). In all cases, the West cluster had higher mtDNA diversity values than the East cluster; instead, no differences were observed for the nuclear diversity in the host. Genetic diversity is distinctly distributed in each species as shown in the interpolation maps, although certain similarities can be identified with mtDNA (Fig. "12862_2021_1924_Fig2_HTML" ="fig">2 ). Overall, eastern groups tend to be less genetically diverse compared to western ones, except for Santa Marta region (SMT) that has markedly lower genetic diversity in ). Overall, eastern groups tend to be less genetically diverse compared to western ones, except for Santa Marta region (SMT) that has markedly lower genetic diversity in T. multilabiatus.Fig. 2Interpolation maps showing the distribution of genetic diversity in the host and the two pinworm spe think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00336491.jpg caption=Table 4 and "animals-13-01225-g001" ="fig">Figure 1 provide mean comparisons for respondents per field-of-study and gender for entrepreneurial and corporate work intentions. provide mean comparisons for respondents per field-of-study and gender for entrepreneurial and corporate work intentions. "animals-13-01225-g001" ="fig">Figure 1 and and Table 5 summarise the mean factor scores of the established antecedents of entrepreneurial intention: entrepreneurial self-efficacy in pre-venture activities such as ‘searching’, ‘planning’, and ‘marshalling’ (ESE-pre-venture), in ‘implementing people’ (ESE-people), in ‘implementing finances’ (ESE-finances) start-up operational activities, and outcome expectations of starting or owning a business outcome expectations (OE-start-business). Overall, respondents rated themselves around the neutral position for ESE-pre-venture (u = 4.07) and ESE-finances (u = 3.85) and higher for ESE in implementing people (u = 4.54) and for OE-start-business (u = 4.65) source=biomedica enhanced_caption=O: Table 4 and "animals-13-01225-g001" ="fig">Figure 1 provide mean comparisons for respondents per field-of-study and gender for entrepreneurial and corporate work intentions. provide mean comparisons for respondents per field-of-study and gender for entrepreneurial and corporate work intentions. "animals-13-01225-g001" ="fig">Figure 1 and and Table 5 summarise the mean factor scores of the established antecedents of entrepreneurial intention: entrepreneurial self-efficacy in pre-venture activities such as ‘searching’, ‘planning’, and ‘marshalling’ (ESE-pre-venture), in ‘implementing people’ (ESE-people), in ‘implementing finances’ (ESE-finances) start-up operational activities, and outcome expectations of starting or owning a business outcome expectations (OE-start-business). Overall, respondents rated themselves around the neutral position for ESE-pre-venture (u = 4.07) and ESE-finances (u = 3.85) and higher for ESE in implementing people (u = 4.54) and for OE-start-business (u = 4. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=71yo Asian male
file_name=biomedica_00241523.jpg caption=Extreme ASE genes preferentially identified in WGS subjects.Shown in a are the number of genes with a minimum expression of 2 r.p.m. (grey bars), and the number of expressed genes that contain heterozygous SNPs (black bars) for CHD WGS (n=30 tissues) and CHD WES probands (n=142 tissues), GTEx donors (n=113 tissues) and mouse C57Bl6/Castaneus F1 hybrids (n=7 tissues). s.d. is indicated. b The distribution of extreme ASE events per subject by genotyping platform. Extreme ASE events were identified in >70% of WGS subjects (n=14). However, extreme ASE events were identified in only ∼20% of WES subjects (n=130) and ∼45% of GTEx donors (n=95). source=biomedica enhanced_caption=O: Extreme ASE genes preferentially identified in WGS subjects.Shown in a are the number of genes with a minimum expression of 2 r.p.m. (grey bars), and the number of expressed genes that contain heterozygous SNPs (black bars) for CHD WGS (n=30 tissues) and CHD WES probands (n=142 tissues), GTEx donors (n=113 tissues) and mouse C57Bl6/Castaneus F1 hybrids (n=7 tissues). s.d. is indicated. b The distribution of extreme ASE events per subject by genotyping platform. Extreme ASE events were identified in >70% of WGS subjects (n=14). However, extreme ASE events were identified in only ∼20% of WES subjects (n=130) and ∼45% of GTEx donors (n=95). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=25yo White male
file_name=biomedica_00398569.jpg caption=Preoperative templating defined absolute values for the planned anteversion (AV) and inclination (INCL) of the custom-made acetabular implants, allowing for both pre- and postoperative implant positions to be assessed relative to Lewinnek’s safe zone (AV: 5–25°; INCL: 30–50°). All personalized implants were templated to meet the safe zone criteria for AV and INCL. Specifically, AV was templated at 10° for six of the seven patients, with the remaining patient (Patient No. 3) having a planned AV of 15°, resulting in a planned mean AV of 10.7° (Table 3). Similarly, the mean planned INCL was 44.3°, with six implants templated at 45° and one (Patient No. 6) at 40°, all within the safe zone. Independent of the postoperative method (CT vs. X-Ray) used to analyze the final position of the implants, there were no significant differences in mean AV and INCL, neither between the two methods nor compared to the preoperative plan ( "jpm-14-00808-g005" ="fig">Figure 5 and detailed in and detailed in source=biomedica enhanced_caption=O: Preoperative templating defined absolute values for the planned anteversion (AV) and inclination (INCL) of the custom-made acetabular implants, allowing for both pre- and postoperative implant positions to be assessed relative to Lewinnek’s safe zone (AV: 5–25°; INCL: 30–50°). All personalized implants were templated to meet the safe zone criteria for AV and INCL. Specifically, AV was templated at 10° for six of the seven patients, with the remaining patient (Patient No. 3) having a planned AV of 15°, resulting in a planned mean AV of 10.7° (Table 3). Similarly, the mean planned INCL was 44.3°, with six implants templated at 45° and one (Patient No. 6) at 40°, all within the safe zone. Independent of the postoperative method (CT vs. X-Ray) used to analyze the final position of the implants, there were no significant differences in mean AV and INCL, neither between the two methods nor compared to the preoperative plan ( "jpm-14-00808-g005" ="fig">Figure 5 and detailed in and detailed think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=52yo Indigenous male
file_name=biomedica_00755529.jpg caption=All 10 genomes share the 34 genes with known functions, including the 14 genes in respiratory complexes, four ATP synthase genes and 16 ribosomal RNA protein genes as described in P. sansomeana. The gene atp9 was not reported in P. nicotianae. Our analysis of the submitted sequence in GenBank unambiguously identified atp9 gene in this genome at the expected location ( ="fig" "pone.0231296.g002">Fig 2 ) but its 3’ end was truncated. DNA sequence alignment (not shown) revealed that this was caused by a deletion from the 3’ end of ) but its 3’ end was truncated. DNA sequence alignment (not shown) revealed that this was caused by a deletion from the 3’ end of atp9 gene that extended into the intergenic region between atp9 gene and nad9 gene. This deletion removed the last 13 amino acids in atp9 protein and replaced it with five non-homologous amino acids ( ="fig" "pone.0231296.g003">Fig 3 ).). In a previous study, TatC gene was identified in the mitochondrial genomes of oomycetes [44]. To source=biomedica enhanced_caption=O: All 10 genomes share the 34 genes with known functions, including the 14 genes in respiratory complexes, four ATP synthase genes and 16 ribosomal RNA protein genes as described in P. sansomeana. The gene atp9 was not reported in P. nicotianae. Our analysis of the submitted sequence in GenBank unambiguously identified atp9 gene in this genome at the expected location ( ="fig" "pone.0231296.g002">Fig 2 ) but its 3’ end was truncated. DNA sequence alignment (not shown) revealed that this was caused by a deletion from the 3’ end of ) but its 3’ end was truncated. DNA sequence alignment (not shown) revealed that this was caused by a deletion from the 3’ end of atp9 gene that extended into the intergenic region between atp9 gene and nad9 gene. This deletion removed the last 13 amino acids in atp9 protein and replaced it with five non-homologous amino acids ( ="fig" "pone.0231296.g003">Fig 3 ).). In a previous study, TatC gene was identified in the mitochondrial genomes of oomycetes [44]. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=67yo Asian female
file_name=biomedica_00280002.jpg caption=Both the PCA (Fig. "41598_2022_25619_Fig2_HTML" ="fig">2 ) and the STRUCTURE (Supplementary Fig. ) and the STRUCTURE (Supplementary Fig. S3) analyses showed a certain degree of structure in the area. The optimal value of populations in STRUCTURE was K = 2, followed by a secondary peak at K = 4 (Supplementary Fig. S3B).Figure 2Principal component analysis of the Iberian desman individuals. Each locality is represented with a different color. The locality code, which can be found in the legend of Fig. "41598_2022_25619_Fig1_HTML" ="fig">1 , is also indicated., is also indicated. source=biomedica enhanced_caption=O: Both the PCA (Fig. "41598_2022_25619_Fig2_HTML" ="fig">2 ) and the STRUCTURE (Supplementary Fig. ) and the STRUCTURE (Supplementary Fig. S3) analyses showed a certain degree of structure in the area. The optimal value of populations in STRUCTURE was K = 2, followed by a secondary peak at K = 4 (Supplementary Fig. S3B).Figure 2Principal component analysis of the Iberian desman individuals. Each locality is represented with a different color. The locality code, which can be found in the legend of Fig. "41598_2022_25619_Fig1_HTML" ="fig">1 , is also indicated., is also indicated. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=67yo Asian female
file_name=biomedica_00557024.jpg caption=The 0.1 mM CoCl2 4 h treatment and 20 μM gentamycin 24 h treatment ablated all neuromasts (<10% fluorescence). One day after removal from treatment, we recorded some positive fluorescence (>10% fluorescence) ( "obac012fig5" ="fig">Figs. 5 and and "obac012fig6" ="fig"> 6 ). The return of positive fluorescent staining indicated hair cell regeneration. ). The return of positive fluorescent staining indicated hair cell regeneration. "obac012fig5" ="fig">Figure 5 compares images from sham-treated fish (control), hair cell ablation in 0.1 mM CoCl compares images from sham-treated fish (control), hair cell ablation in 0.1 mM CoCl2 and 20 μM gentamycin treatments, and regeneration of hair cells after 7 days following the treatments. "obac012fig6" ="fig">Figure 6 shows the number of neuromasts regenerated after ablation of the lateral line system from 0.1 mM CoCl shows the number of neuromasts regenerated after ablation of the lateral line system from 0.1 mM CoCl2 and 20 μM gentamycin treatment source=biomedica enhanced_caption=O: The 0.1 mM CoCl2 4 h treatment and 20 μM gentamycin 24 h treatment ablated all neuromasts (<10% fluorescence). One day after removal from treatment, we recorded some positive fluorescence (>10% fluorescence) ( "obac012fig5" ="fig">Figs. 5 and and "obac012fig6" ="fig"> 6 ). The return of positive fluorescent staining indicated hair cell regeneration. ). The return of positive fluorescent staining indicated hair cell regeneration. "obac012fig5" ="fig">Figure 5 compares images from sham-treated fish (control), hair cell ablation in 0.1 mM CoCl compares images from sham-treated fish (control), hair cell ablation in 0.1 mM CoCl2 and 20 μM gentamycin treatments, and regeneration of hair cells after 7 days following the treatments. "obac012fig6" ="fig">Figure 6 shows the number of neuromasts regenerated after ablation of the lateral line system from 0.1 mM CoCl shows the number of neuromasts regenerated after ablation of the lateral line system from 0.1 mM CoCl2 and 20 μM gentamycin treatm think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00041754.jpg caption=While these two metrics are widely used for generative AI evaluation, it should be noted that they have a limited application in this study because there is only one TS conformation for each reaction in the reference dataset. Therefore, for each individual reaction, the COV score is either 100% or 0% if only a single sample is used for evaluation. Thus, Table 1 presents the COV and MAT scores of TSDiff according to the number of sampling, including a comparison to the scores of TSDiff without the ensemble method. The distributions of the MAT scores across the reaction are shown in Fig. "41467_2023_44629_Fig5_HTML" ="fig">5 ..Table 1The coverage (COV) and matching (MAT) scores of TSDiff according to the number of sampling# of samplingEnsembleNo ensembleCOVa↑COVb↑MAT ↓COVa↑COVb↑MAT ↓149.173.90.13747.973.90.140367.387.50.09665.986.70.100575.292.60.07974.291.40.0841084.095.60.06380.493.70.07210091.797.70.04589.797.20.052The results of two TSDiff models with and without the ensemble method source=biomedica enhanced_caption=O: While these two metrics are widely used for generative AI evaluation, it should be noted that they have a limited application in this study because there is only one TS conformation for each reaction in the reference dataset. Therefore, for each individual reaction, the COV score is either 100% or 0% if only a single sample is used for evaluation. Thus, Table 1 presents the COV and MAT scores of TSDiff according to the number of sampling, including a comparison to the scores of TSDiff without the ensemble method. The distributions of the MAT scores across the reaction are shown in Fig. "41467_2023_44629_Fig5_HTML" ="fig">5 ..Table 1The coverage (COV) and matching (MAT) scores of TSDiff according to the number of sampling# of samplingEnsembleNo ensembleCOVa↑COVb↑MAT ↓COVa↑COVb↑MAT ↓149.173.90.13747.973.90.140367.387.50.09665.986.70.100575.292.60.07974.291.40.0841084.095.60.06380.493.70.07210091.797.70.04589.797.20.052The results of two TSDiff models with and without the ensemble meth think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=64yo Pacific Islander male
file_name=biomedica_00030958.jpg caption=Intuitively, the quantity and quality of generated reference images are critical to the final performance. Consequently, we conducted experiments on generating reference images. To increase the diversity of generated images, the object with various realistic poses were generated to depict activities like cats eating, sleeping, and standing. As illustrated in "pone.0310730.g003" ="fig">Fig 3 , the accuracy (ACC-TOP1) progressively increased from 67% to 73% with more images being generated. This demonstrates large quantity is beneficial to the final accuracy. In addition, we constructed a network variant with only one reference image per category and compared its accuracy with our baseline model with multiple reference images. As shown in , the accuracy (ACC-TOP1) progressively increased from 67% to 73% with more images being generated. This demonstrates large quantity is beneficial to the final accuracy. In addition, we constructed a network variant with only one reference image per cat source=biomedica enhanced_caption=O: Intuitively, the quantity and quality of generated reference images are critical to the final performance. Consequently, we conducted experiments on generating reference images. To increase the diversity of generated images, the object with various realistic poses were generated to depict activities like cats eating, sleeping, and standing. As illustrated in "pone.0310730.g003" ="fig">Fig 3 , the accuracy (ACC-TOP1) progressively increased from 67% to 73% with more images being generated. This demonstrates large quantity is beneficial to the final accuracy. In addition, we constructed a network variant with only one reference image per category and compared its accuracy with our baseline model with multiple reference images. As shown in , the accuracy (ACC-TOP1) progressively increased from 67% to 73% with more images being generated. This demonstrates large quantity is beneficial to the final accuracy. In addition, we constructed a network variant with only one reference image per think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=28yo South Asian female
file_name=biomedica_00255291.jpg caption=As a final step, the produced ZnO targets were tested under the cyclotron beam. The thermo-mechanical stability of the sputtered targets was evaluated with two irradiation runs (energy of 19 MeV) at 10 and 20 μA for 5 min. Visual control of the targets after each irradiation was carried out. The photos of the targets before and after the irradiation are shown in "materials-16-03810-g006" ="fig">Figure 6 .. source=biomedica enhanced_caption=O: As a final step, the produced ZnO targets were tested under the cyclotron beam. The thermo-mechanical stability of the sputtered targets was evaluated with two irradiation runs (energy of 19 MeV) at 10 and 20 μA for 5 min. Visual control of the targets after each irradiation was carried out. The photos of the targets before and after the irradiation are shown in "materials-16-03810-g006" ="fig">Figure 6 .. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=58yo White female
file_name=biomedica_00514091.jpg caption=Intraoperative findings of redo MVD showing offender vessel omission in the previous operation. (TN, trigeminal nerve; VII, facial nerve; VIII, vestibulocochlear nerve). source=biomedica enhanced_caption=O: Intraoperative findings of redo MVD showing offender vessel omission in the previous operation. (TN, trigeminal nerve; VII, facial nerve; VIII, vestibulocochlear nerve). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00492261.jpg caption=Figure "41598_2022_26029_Fig5_HTML" ="fig">5 presents the sequence diagram that provides a comprehensive view of the interactions among different entities. For the sake of simplicity, the workflow is described from the viewpoints of four actors: Admin, Regulator, Health Professional, and Patient. presents the sequence diagram that provides a comprehensive view of the interactions among different entities. For the sake of simplicity, the workflow is described from the viewpoints of four actors: Admin, Regulator, Health Professional, and Patient. source=biomedica enhanced_caption=O: Figure "41598_2022_26029_Fig5_HTML" ="fig">5 presents the sequence diagram that provides a comprehensive view of the interactions among different entities. For the sake of simplicity, the workflow is described from the viewpoints of four actors: Admin, Regulator, Health Professional, and Patient. presents the sequence diagram that provides a comprehensive view of the interactions among different entities. For the sake of simplicity, the workflow is described from the viewpoints of four actors: Admin, Regulator, Health Professional, and Patient. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=45yo Black male
file_name=biomedica_00375031.jpg caption=To assess the anti-tumor effect of BCL10 knockdown in PDAC xenograft model, PANC-1 cells treated with or without shBCL10 transfection were inoculated into the flanks of mice. Tumor volume was recorded from appearance of initial tumor burden (Fig. "12935_2021_2143_Fig4_HTML" ="fig">4 a and b). When compared with scrambled group of PANC-1 xenograft tumors, we observed that the tumor growth was significantly inhibited after transfection with shBCL10 (Fig. a and b). When compared with scrambled group of PANC-1 xenograft tumors, we observed that the tumor growth was significantly inhibited after transfection with shBCL10 (Fig. "12935_2021_2143_Fig4_HTML" ="fig">4 a). The shBCL10-transfected group exhibited 78% reduction of tumor volume compared with scrambled group at 5 weeks (Fig. a). The shBCL10-transfected group exhibited 78% reduction of tumor volume compared with scrambled group at 5 weeks (Fig. "12935_2021_2143_Fig4_HTML" ="fig">4 b). There were no significant differences in the body source=biomedica enhanced_caption=O: To assess the anti-tumor effect of BCL10 knockdown in PDAC xenograft model, PANC-1 cells treated with or without shBCL10 transfection were inoculated into the flanks of mice. Tumor volume was recorded from appearance of initial tumor burden (Fig. "12935_2021_2143_Fig4_HTML" ="fig">4 a and b). When compared with scrambled group of PANC-1 xenograft tumors, we observed that the tumor growth was significantly inhibited after transfection with shBCL10 (Fig. a and b). When compared with scrambled group of PANC-1 xenograft tumors, we observed that the tumor growth was significantly inhibited after transfection with shBCL10 (Fig. "12935_2021_2143_Fig4_HTML" ="fig">4 a). The shBCL10-transfected group exhibited 78% reduction of tumor volume compared with scrambled group at 5 weeks (Fig. a). The shBCL10-transfected group exhibited 78% reduction of tumor volume compared with scrambled group at 5 weeks (Fig. "12935_2021_2143_Fig4_HTML" ="fig">4 b). There were no significant differences in the bo think=<think>Visual findings present in image → Clinical correlation needed → ICD D49.9 assigned → Moderate uncertainty due to limited context</think> icd_code=D49.9 uncertainty=medium modality=multi-modal demographic=32yo Hispanic female
file_name=biomedica_00726875.jpg caption=The time-kill kinetic approach was used to investigate the anti-MRSA activity of compounds 50, 62 and 64. The experimental results were presented in graphic form in "IENZ_A_1977931_F0002_C" ="fig">Figure 2 . Compared with growth control, compounds . Compared with growth control, compounds 50 and 62 inhibited the reproduction of bacteria to a certain extent. When their concentrations reached 8 × MIC and cultured for 24 h, they showed relatively anti-MRSA bacteriostatic kinetics. Compound 64 at 16 × MIC induced relatively MRSA killing (2.21 log10 CFU/mL reduction) after 3 h incubation, and marked bacterial growth inhibition was observed at 24 h (4.49 log10 CFU/mL reduction). In conclusion, these data also demonstrated that compounds 50, 62 and 64 induced dose- and time-dependent growth inhibition against MRSA, with a bactericidal effect at the concentrations higher than 4 × MIC. source=biomedica enhanced_caption=O: The time-kill kinetic approach was used to investigate the anti-MRSA activity of compounds 50, 62 and 64. The experimental results were presented in graphic form in "IENZ_A_1977931_F0002_C" ="fig">Figure 2 . Compared with growth control, compounds . Compared with growth control, compounds 50 and 62 inhibited the reproduction of bacteria to a certain extent. When their concentrations reached 8 × MIC and cultured for 24 h, they showed relatively anti-MRSA bacteriostatic kinetics. Compound 64 at 16 × MIC induced relatively MRSA killing (2.21 log10 CFU/mL reduction) after 3 h incubation, and marked bacterial growth inhibition was observed at 24 h (4.49 log10 CFU/mL reduction). In conclusion, these data also demonstrated that compounds 50, 62 and 64 induced dose- and time-dependent growth inhibition against MRSA, with a bactericidal effect at the concentrations higher than 4 × MIC. A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=45yo Black male
file_name=biomedica_00238255.jpg caption=As seen in "jpm-12-00429-g002" ="fig">Figure 2 a, all patients diagnosed with FH had at least one of the SNPs investigated by us. Participants with at least two, three, or four polymorphisms constituted 94.23% (49), 64.4% (33), and 15.3% (8) of the studied group. None of the patients included in our study were diagnosed with all five polymorphisms. Certain situations of multiplicity predominated over others: 10 (19.2%) patients had polymorphisms in a, all patients diagnosed with FH had at least one of the SNPs investigated by us. Participants with at least two, three, or four polymorphisms constituted 94.23% (49), 64.4% (33), and 15.3% (8) of the studied group. None of the patients included in our study were diagnosed with all five polymorphisms. Certain situations of multiplicity predominated over others: 10 (19.2%) patients had polymorphisms in MTHFR A1298C, ACE, and PAI-1 simultaneously, while 8 (15.3%) had polymorphisms in MTHFR C677T, MTHFR A1298C, PAI-1, and ACE simultaneously. T source=biomedica enhanced_caption=O: As seen in "jpm-12-00429-g002" ="fig">Figure 2 a, all patients diagnosed with FH had at least one of the SNPs investigated by us. Participants with at least two, three, or four polymorphisms constituted 94.23% (49), 64.4% (33), and 15.3% (8) of the studied group. None of the patients included in our study were diagnosed with all five polymorphisms. Certain situations of multiplicity predominated over others: 10 (19.2%) patients had polymorphisms in a, all patients diagnosed with FH had at least one of the SNPs investigated by us. Participants with at least two, three, or four polymorphisms constituted 94.23% (49), 64.4% (33), and 15.3% (8) of the studied group. None of the patients included in our study were diagnosed with all five polymorphisms. Certain situations of multiplicity predominated over others: 10 (19.2%) patients had polymorphisms in MTHFR A1298C, ACE, and PAI-1 simultaneously, while 8 (15.3%) had polymorphisms in MTHFR C677T, MTHFR A1298C, PAI-1, and ACE simultaneously think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00495734.jpg caption=At trial randomization stage, 104 subjects were randomly assigned to either the SMS group or control group (Fig. "13104_2018_3810_Fig1_HTML" ="fig">1 ). However, the majority of subjects in both groups were male (90.7% and 96.0%). At 60-month follow-up, 86 (65 subjects completed 24-month follow-up and 21 subjects whose were withdrawal in previous follow-ups) completed assessments whereas 21 subjects (14 in SMS and 7 in control group) had DM occurrence. The number of subjects progressing from pre-diabetes to DM was 36 (34.6%) over the 60 months.). However, the majority of subjects in both groups were male (90.7% and 96.0%). At 60-month follow-up, 86 (65 subjects completed 24-month follow-up and 21 subjects whose were withdrawal in previous follow-ups) completed assessments whereas 21 subjects (14 in SMS and 7 in control group) had DM occurrence. The number of subjects progressing from pre-diabetes to DM was 36 (34.6%) over the 60 months.Fig. 1Flowchart on the subject allocation and part source=biomedica enhanced_caption=O: At trial randomization stage, 104 subjects were randomly assigned to either the SMS group or control group (Fig. "13104_2018_3810_Fig1_HTML" ="fig">1 ). However, the majority of subjects in both groups were male (90.7% and 96.0%). At 60-month follow-up, 86 (65 subjects completed 24-month follow-up and 21 subjects whose were withdrawal in previous follow-ups) completed assessments whereas 21 subjects (14 in SMS and 7 in control group) had DM occurrence. The number of subjects progressing from pre-diabetes to DM was 36 (34.6%) over the 60 months.). However, the majority of subjects in both groups were male (90.7% and 96.0%). At 60-month follow-up, 86 (65 subjects completed 24-month follow-up and 21 subjects whose were withdrawal in previous follow-ups) completed assessments whereas 21 subjects (14 in SMS and 7 in control group) had DM occurrence. The number of subjects progressing from pre-diabetes to DM was 36 (34.6%) over the 60 months.Fig. 1Flowchart on the subject allocation and p think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=45yo Black male
file_name=biomedica_00536703.jpg caption=As a first-pass quantification, we extracted the values of the two features mentioned above for each morph experiment (41 morphs from 32 cells): the position of the band or the firing rate in a specific phase of respiration. For cells which had both these effects, we chose the more prominent one. Some cells could not be categorized in either group. The distribution to these groups is shown in "gr3" ="fig">Figure 3 F.F. To estimate the position of the band, we fitted Gaussians to the binned data ( "gr3" ="fig">Figure 3 A, see A, see Experimental Procedures). As a measure of firing rate, we summed up the total number of spikes in a box enclosing the excitatory band ( "gr3" ="fig">Figure 3 B). We plotted these values against the composition of the mixture. These curves were fit to straight lines, logarithms, or sigmoids. Examples are shown of cells which were best fit with straight lines (B). We plotted these values against the composition of the mixture. These curves were fit to straight source=biomedica enhanced_caption=O: As a first-pass quantification, we extracted the values of the two features mentioned above for each morph experiment (41 morphs from 32 cells): the position of the band or the firing rate in a specific phase of respiration. For cells which had both these effects, we chose the more prominent one. Some cells could not be categorized in either group. The distribution to these groups is shown in "gr3" ="fig">Figure 3 F.F. To estimate the position of the band, we fitted Gaussians to the binned data ( "gr3" ="fig">Figure 3 A, see A, see Experimental Procedures). As a measure of firing rate, we summed up the total number of spikes in a box enclosing the excitatory band ( "gr3" ="fig">Figure 3 B). We plotted these values against the composition of the mixture. These curves were fit to straight lines, logarithms, or sigmoids. Examples are shown of cells which were best fit with straight lines (B). We plotted these values against the composition of the mixture. These curves were fit to strai think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00135151.jpg caption=Based on the results in Table 2, it is difficult to judge, which model is the best for segmentation of FAZ. Therefore, we have analyzed the segmentation of FAZ area predicted by the DL models (i.e., without selecting the largest contour) using box plot, and it is shown in Fig. "41598_2022_12486_Fig3_HTML" ="fig">3 a. Each models have many outliers, and spread of them is least for the Unet, Unet_AB, Unet_AB_upsampling, and LWBNA_Unet. The smallest number of outliers (18) with D ≤ 0.94 are for Unet_AB, whereas these are same (21) for Unet and LWBNA_Unet. In all the three models, 14 outliers are common with same mean D of ~ 0.917. The main reason for low D in these 14 outliers is the unclear FAZ boundary due to blurring of image and presence of too many scan lines. Precise manual segmentation of FAZ in these images is also difficult for the human. The remaining outliers for each model (i.e., not common) mainly have D in between 0.91 and 0.94, and once again the reason is blurred images. I source=biomedica enhanced_caption=O: Based on the results in Table 2, it is difficult to judge, which model is the best for segmentation of FAZ. Therefore, we have analyzed the segmentation of FAZ area predicted by the DL models (i.e., without selecting the largest contour) using box plot, and it is shown in Fig. "41598_2022_12486_Fig3_HTML" ="fig">3 a. Each models have many outliers, and spread of them is least for the Unet, Unet_AB, Unet_AB_upsampling, and LWBNA_Unet. The smallest number of outliers (18) with D ≤ 0.94 are for Unet_AB, whereas these are same (21) for Unet and LWBNA_Unet. In all the three models, 14 outliers are common with same mean D of ~ 0.917. The main reason for low D in these 14 outliers is the unclear FAZ boundary due to blurring of image and presence of too many scan lines. Precise manual segmentation of FAZ in these images is also difficult for the human. The remaining outliers for each model (i.e., not common) mainly have D in between 0.91 and 0.94, and once again the reason is blurred images think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=39yo Middle Eastern female
file_name=biomedica_00129034.jpg caption=In addition, bilirubin levels in both groups were measured during 12, 24, and 48 hours after admission, and the results were obtained by Friedman test. We intended to investigate the difference in bilirubin levels in these three time periods, the neonates studied at this stage were 49 in the intervention and 43 in the control group. Therefore, 14 participants were excluded due to loss to follow-up. The intragroup analysis indicated that TSB in both groups had significant decrease during 12, 24, and 48 hours after hospitalization (P <0.001). Although there was no significant difference between the two groups at 12 and 48 hours after hospitalization (P>0.05), significant difference was noticed at 48 hours after hospitalization (P = 0.009) (Table 3). "pone.0273516.g002" ="fig">Fig 2 depicts the trend of bilirubin levels of all, intervention, and control groups from baseline to discharge. depicts the trend of bilirubin levels of all, intervention, and control groups from baseline to discha source=biomedica enhanced_caption=O: In addition, bilirubin levels in both groups were measured during 12, 24, and 48 hours after admission, and the results were obtained by Friedman test. We intended to investigate the difference in bilirubin levels in these three time periods, the neonates studied at this stage were 49 in the intervention and 43 in the control group. Therefore, 14 participants were excluded due to loss to follow-up. The intragroup analysis indicated that TSB in both groups had significant decrease during 12, 24, and 48 hours after hospitalization (P <0.001). Although there was no significant difference between the two groups at 12 and 48 hours after hospitalization (P>0.05), significant difference was noticed at 48 hours after hospitalization (P = 0.009) (Table 3). "pone.0273516.g002" ="fig">Fig 2 depicts the trend of bilirubin levels of all, intervention, and control groups from baseline to discharge. depicts the trend of bilirubin levels of all, intervention, and control groups from baseline to dis think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00371298.jpg caption=In Italy, the complex relationship between media and child protection is informed by the Treviso Chart (Carta di Treviso), which is a document by the Italian Professional Association of Journalists and the National Federation of Italian Press (FNSI), released in 1990 and subsequently updated, as a binding self-regulation for journalists, as well as an ideal and practical guide for the whole professional category of communicators [39]. The chart represents a reference for the media reporting of news involving minors in Italy. Although not specifically focused on suicide, the chart applies to the media the principles of the United Nations Convention on the Rights of the Child [40] and requires journalists to give priority to the rights of the minors over other commercial considerations ( "S0924933824000026_fig1" ="fig">Figure 1 ).).Figure 1.Core Elements of the Treviso Chart source=biomedica enhanced_caption=O: In Italy, the complex relationship between media and child protection is informed by the Treviso Chart (Carta di Treviso), which is a document by the Italian Professional Association of Journalists and the National Federation of Italian Press (FNSI), released in 1990 and subsequently updated, as a binding self-regulation for journalists, as well as an ideal and practical guide for the whole professional category of communicators [39]. The chart represents a reference for the media reporting of news involving minors in Italy. Although not specifically focused on suicide, the chart applies to the media the principles of the United Nations Convention on the Rights of the Child [40] and requires journalists to give priority to the rights of the minors over other commercial considerations ( "S0924933824000026_fig1" ="fig">Figure 1 ).).Figure 1.Core Elements of the Treviso Chart A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=55yo Hispanic male
file_name=biomedica_00711473.jpg caption=The mean sexual behavior score (ranging from 0 to 8) decreased and remained lower compared to that on D0 throughout the study period in the deslorelin group, whereas it substantially increased in the control group. The distribution of the sexual behavior score significantly decreased as soon as D7 (p = 0.013) and again at each additional observation time point in the deslorelin group compared to the control group (p < 0.001) ( "animals-13-00379-g002" ="fig">Figure 2 ).). source=biomedica enhanced_caption=O: The mean sexual behavior score (ranging from 0 to 8) decreased and remained lower compared to that on D0 throughout the study period in the deslorelin group, whereas it substantially increased in the control group. The distribution of the sexual behavior score significantly decreased as soon as D7 (p = 0.013) and again at each additional observation time point in the deslorelin group compared to the control group (p < 0.001) ( "animals-13-00379-g002" ="fig">Figure 2 ).). A: Clinical findings require correlation. P: Further evaluation recommended. think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=48yo Middle Eastern male
file_name=biomedica_00681730.jpg caption=We next investigated potential signaling pathways that may be promoting the inappropriate differentiation of these dermal populations by isolating RNA from dorsal skin samples from 12-month WT mice and Gnas E1+/− mice from both unaffected and SCO-containing skin regions and assessed transcriptional variations among samples using an RT-PCR array ( "nihpp-2024.06.18.599506v1-f0007" ="fig">Figure 7A , Supplemental Figure 9). We were particularly focused on a panel of genes related to Wnt, Sonic hedgehog (Shh), TGF-β, and BMP signaling pathways due to their implications in regulating both epithelial-mesenchymal interactions within the HF microenvironment [, Supplemental Figure 9). We were particularly focused on a panel of genes related to Wnt, Sonic hedgehog (Shh), TGF-β, and BMP signaling pathways due to their implications in regulating both epithelial-mesenchymal interactions within the HF microenvironment [58–62] and the pathogenesis of heterotopic ossifications. We did not identify an source=biomedica enhanced_caption=O: We next investigated potential signaling pathways that may be promoting the inappropriate differentiation of these dermal populations by isolating RNA from dorsal skin samples from 12-month WT mice and Gnas E1+/− mice from both unaffected and SCO-containing skin regions and assessed transcriptional variations among samples using an RT-PCR array ( "nihpp-2024.06.18.599506v1-f0007" ="fig">Figure 7A , Supplemental Figure 9). We were particularly focused on a panel of genes related to Wnt, Sonic hedgehog (Shh), TGF-β, and BMP signaling pathways due to their implications in regulating both epithelial-mesenchymal interactions within the HF microenvironment [, Supplemental Figure 9). We were particularly focused on a panel of genes related to Wnt, Sonic hedgehog (Shh), TGF-β, and BMP signaling pathways due to their implications in regulating both epithelial-mesenchymal interactions within the HF microenvironment [58–62] and the pathogenesis of heterotopic ossifications. We did not identify think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=36yo Indigenous female
file_name=biomedica_00742296.jpg caption=Bayesian model selection52 (BMS) showed that Family 1, which included the modulation of the PreC-HC/PHC connection, was most likely to explain our data (> 99% posterior probability), strongly supporting the hypothesis of a contribution of the PreC-HC/PHC connectivity during episodic memory retrieval with subjective sense of recollection. At the model level, BMS showed that the model with the highest posterior probability (> 99%) included the modulation of the PreC-HC/PHC, as well as the modulation of the vmPFC-HC/PHC connection, indicating that both regions of the PM system contributed to Rem retrievals (see Fig. "41598_2024_58298_Fig4_HTML" ="fig">4 B, corresponding to mod_2 in Supplementary Figure B, corresponding to mod_2 in Supplementary Figure S2).Figure 4Individual ROIs and dynamic causal modeling. (A) Regions of Interest. The individual ROIs projected on a 3D rendering of the left hemisphere, with different colors for the Precuneus (PreC, in magenta), the left fusiform gyrus (Fu source=biomedica enhanced_caption=O: Bayesian model selection52 (BMS) showed that Family 1, which included the modulation of the PreC-HC/PHC connection, was most likely to explain our data (> 99% posterior probability), strongly supporting the hypothesis of a contribution of the PreC-HC/PHC connectivity during episodic memory retrieval with subjective sense of recollection. At the model level, BMS showed that the model with the highest posterior probability (> 99%) included the modulation of the PreC-HC/PHC, as well as the modulation of the vmPFC-HC/PHC connection, indicating that both regions of the PM system contributed to Rem retrievals (see Fig. "41598_2024_58298_Fig4_HTML" ="fig">4 B, corresponding to mod_2 in Supplementary Figure B, corresponding to mod_2 in Supplementary Figure S2).Figure 4Individual ROIs and dynamic causal modeling. (A) Regions of Interest. The individual ROIs projected on a 3D rendering of the left hemisphere, with different colors for the Precuneus (PreC, in magenta), the left fusiform gyrus think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=67yo Asian female
file_name=biomedica_00264984.jpg caption=To examine whether the finding on in vivo AR selectivity also applies to another androgen target tissue, we performed AR ChIP-seq on ventral prostates of SPARKI mice and their wt littermates. Peak calling with MACS2 and HOMER identified 6693 and 5552 high-confidence AR-binding events in prostates of wt and SPARKI mice, respectively, 3370 of which are shared by the two receptors ( ="fig" "gkt1401f7p">Figure 7 A, A, Supplementary Data sets S6 and S7). SPARKI AR has low affinity to wt AR-preferred sites and wt AR to SPARKI AR-preferred sites, whereas both receptors bind to shared sites with high affinity ( ="fig" "gkt1401f7p">Figure 7 B). Of the wt AR-preferred ARBs, 1079 sites have >4-fold enrichment over SPARKI AR (B). Of the wt AR-preferred ARBs, 1079 sites have >4-fold enrichment over SPARKI AR (Supplementary Data set S8), and 609 SPARKI AR-preferred sites have >4-fold enrichment over wt AR (Supplementary Data set S9). Importantly and similar to epididymis, the cis-element identifi source=biomedica enhanced_caption=O: To examine whether the finding on in vivo AR selectivity also applies to another androgen target tissue, we performed AR ChIP-seq on ventral prostates of SPARKI mice and their wt littermates. Peak calling with MACS2 and HOMER identified 6693 and 5552 high-confidence AR-binding events in prostates of wt and SPARKI mice, respectively, 3370 of which are shared by the two receptors ( ="fig" "gkt1401f7p">Figure 7 A, A, Supplementary Data sets S6 and S7). SPARKI AR has low affinity to wt AR-preferred sites and wt AR to SPARKI AR-preferred sites, whereas both receptors bind to shared sites with high affinity ( ="fig" "gkt1401f7p">Figure 7 B). Of the wt AR-preferred ARBs, 1079 sites have >4-fold enrichment over SPARKI AR (B). Of the wt AR-preferred ARBs, 1079 sites have >4-fold enrichment over SPARKI AR (Supplementary Data set S8), and 609 SPARKI AR-preferred sites have >4-fold enrichment over wt AR (Supplementary Data set S9). Importantly and similar to epididymis, the cis-element ident think=<think>Visual findings present in image → Clinical correlation needed → ICD R69 assigned → Moderate uncertainty due to limited context</think> icd_code=R69 uncertainty=medium modality=multi-modal demographic=64yo Pacific Islander male
file_name=biomedica_00298818.jpg caption=To evaluate the potential of PET imaging to detect minimal degrees of ischemia, mice underwent three different time periods of ischemia (10, 20 or 60 min) and were injected intravenously with a single dose of the scFvanti-GPIIb/IIIa-64CuMeCOSar radiotracer 2 h pCI ( ="fig" "srep38161-f3">Fig. 3a ). A PET/CT scan was performed 30 min post-injection. After only 10 min of ischemia a significant uptake of radiotracer in the ischemic myocardium was detected. The uptake increased in correlation to the duration of ischemia ending with the highest uptake after 60 min of ischemia. In comparison, no accumulation was seen in the sham-operated animals (). A PET/CT scan was performed 30 min post-injection. After only 10 min of ischemia a significant uptake of radiotracer in the ischemic myocardium was detected. The uptake increased in correlation to the duration of ischemia ending with the highest uptake after 60 min of ischemia. In comparison, no accumulation was seen in the sham-operated animals source=biomedica enhanced_caption=O: To evaluate the potential of PET imaging to detect minimal degrees of ischemia, mice underwent three different time periods of ischemia (10, 20 or 60 min) and were injected intravenously with a single dose of the scFvanti-GPIIb/IIIa-64CuMeCOSar radiotracer 2 h pCI ( ="fig" "srep38161-f3">Fig. 3a ). A PET/CT scan was performed 30 min post-injection. After only 10 min of ischemia a significant uptake of radiotracer in the ischemic myocardium was detected. The uptake increased in correlation to the duration of ischemia ending with the highest uptake after 60 min of ischemia. In comparison, no accumulation was seen in the sham-operated animals (). A PET/CT scan was performed 30 min post-injection. After only 10 min of ischemia a significant uptake of radiotracer in the ischemic myocardium was detected. The uptake increased in correlation to the duration of ischemia ending with the highest uptake after 60 min of ischemia. In comparison, no accumulation was seen in the sham-operated anima think=<think>Visual findings present in image → Clinical correlation needed → ICD Z12.9 assigned → Moderate uncertainty due to limited context</think> icd_code=Z12.9 uncertainty=medium modality=multi-modal demographic=64yo Pacific Islander male

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