Image 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 1_Association between estimated glucose disposal rate and the risk of atherosclerotic cardiovascular disease: insight from cross-sectional and retrospective cohort studies.do... by Zixuan Wang (35190)

“…</p>Conclusion<p>This study elucidates the significant negative dose-response linear relationship of eGDR with ASCVD risk and the partial mediation effects of AIP, VAI, CMI, LAP, and BMI, highlighting the significance of enhancing glucose-utilizing capacity in decreasing the risk of ASCVD.…”

Temporal dynamics of aquatic insects and oligochaetes in tropical springs by Luiza Pedrosa Guimarães (18157480)

“…Seasonality and predictability were high for both climate variables: accumulated rainfall and average air temperature. We found a greater abundance of macroinvertebrates in the dry period, mostly due to the increase in aquatic insects following a decrease in the abundance of oligochaetes. …”

Data Sheet 1_Perceived protective behavioral changes in Chinese residents post-dynamic zero-COVID policy lifting: a cross-sectional study.docx by Yuan-Yuan Song (6287387)

“…The mean scores for the two vaccination-related items were significantly greater than the hypothesized no-change value of 2 (p < 0.001). …”

Table 1_Genomic and phenotypic characterization of two novel human-derived Limosilactobacillus reuteri strains with unique probiotic traits.docx by Lijuan Yang (1538233)

“…In co-culture with LS174T cells, both strains decrease the production of Mucin-2, a key component of the gut barrier, with LLR2 showing significantly greater efficacy. …”

Ketamine wash-in. by Anne S. Fleiner (20496284)

“…(ii) The change in post-burst spiking after the wash-in of 20 μM and 100 μM was not significant compared to the control (MWU test). However, the decrease in post-burst spiking was significantly larger after the wash-in of 100 μM ketamine than with 20 μM (MWU test). …”

Table3_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.docx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table2_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table7_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.docx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table5_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.docx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table4_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table1_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Image3_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.tif by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table6_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Image1_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.tif by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Data Sheet 1_Global, regional, and national disease burden of tobacco-related Alzheimer’s disease among individuals over the age of 55: a global burden of disease study.docx by Tianyi Dong (8060000)

“…The disease burden among men was significantly higher than of among women, approximately three times greater. …”

Image2_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.tif by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Image 2_Enhanced cognitive control following neurofeedback therapy in chronic treatment-resistant PTSD among refugees: a feasibility study.tiff by Mirjana Askovic (6562304)

“…Post-treatment, clients were categorised into Responders and Non-Responders, with responders defined as those achieving a clinically significant reduction in PTSD symptoms (≥0.5-point decrease on the HTQ).…”

Image 1_Enhanced cognitive control following neurofeedback therapy in chronic treatment-resistant PTSD among refugees: a feasibility study.tiff by Mirjana Askovic (6562304)

“…Post-treatment, clients were categorised into Responders and Non-Responders, with responders defined as those achieving a clinically significant reduction in PTSD symptoms (≥0.5-point decrease on the HTQ).…”

Table 1_Enhanced cognitive control following neurofeedback therapy in chronic treatment-resistant PTSD among refugees: a feasibility study.pdf by Mirjana Askovic (6562304)

“…Post-treatment, clients were categorised into Responders and Non-Responders, with responders defined as those achieving a clinically significant reduction in PTSD symptoms (≥0.5-point decrease on the HTQ).…”