Image 3_Natural killer cell as a potential predictive biomarker for early immune checkpoint inhibitor-associated cardiovascular adverse events: a retrospective cohort study.tif by Yujuan Wu (2249857)

“…Among 203 patients, dynamic changes in the proportion of total T cell, CD8+ T cell, and NK cell differed significantly between groups. …”

Dataset for Generative artificial intelligence models in clinical infectiousdisease consultations: a cross-sectional analysis among specialists andresident trainees by Kwan Yeung Edwin Chiu (20718422)

“…Cost analysis revealed decreasing operating expenses over time, but model performance was not directly correlated with cost. …”

Data Sheet 1_Recognition and localization of ratoon rice rolled stubble rows based on monocular vision and model fusion.docx by Yuanrui Li (4156645)

“…The CD between predicted point cloud of rolled rice stubble rows and label was only 0.0174.…”

The Effect of Chronic Stress on Apoptosis Regulation and Oncogenesis Evolution: A Theoretical Approach. by DIMITRIOS KIMOGLOU (20499350)

“…This mechanism causes irreversible changes in cells. DNA damage or finished biological cycles are eliminated. …”

Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

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

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Image 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 9_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Table 8_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

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

“…The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA⁺ MCs), with a concomitant decrease in proliferative MCs (TNF⁺ MCs) and resting MCs. …”

Sustainable soil and organic matter managements for reducing straw burning, greenhouse gas production and emission, and their influencing factors in Northwest India by Iori Sahara (21245399)

“…We found CO₂ emission as dominant among three gases in the field experiment, although this included root respiration, and were not significantly changed by biochar application, compared to the control (chemical fertilizer application only). …”

Jaccard Distance to Donor following FMT intervention, as assessed using qiime fmt cc. by Chloe Herman (11021226)

“…The FMT intervention decreases the variability in distance to donor of all recipients. …”