Image 3_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 5_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 6_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tif by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

This figure illustrates the impact of <i>Lactobacillus reuteri</i> supplementation on key indicators of colitis induced by dextran sulfate sodium (DSS). by Mohsen Nazari (6299819)

“…<b>(C)</b> Disease activity index (DAI) scores indicate a significant reduction in colitis severity in the <i>L. reuteri</i>-supplemented group. …”

Defect-Triggered Reversible Phase Transformation for Boosting Electrochemical Performance of Coordination Polymers by Yixiu Xu (11166860)

“…Generally, if introducing defects exerted a positive effect on the property, eliminating defects would show a negative effect, and vice versa. …”

Defect-Triggered Reversible Phase Transformation for Boosting Electrochemical Performance of Coordination Polymers by Yixiu Xu (11166860)

“…Generally, if introducing defects exerted a positive effect on the property, eliminating defects would show a negative effect, and vice versa. …”

Physico-chemical property of Ningming Bentonite. by Hongming Li (296020)

“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”

Curve fitting of parameter b. by Hongming Li (296020)

“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”

Fully chemistry analysis of silicate. by Hongming Li (296020)

“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”

The dielectric constant <i>D</i> of the solution. by Hongming Li (296020)

“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”

Grading curve of the Ningming Bentonite. by Hongming Li (296020)

“…The test results show that the soil expansion rate decreases from 43.7% to 37.1% with the increase of salt solution concentration. …”

<i>Piriformospora indica</i> Mediated Amelioration of Salt Stress in <i>Solanum melongena</i> L. Plants under Greenhouse- A Study on Stomatal Opening/Closure by Swetha Seshagiri (20586100)

“…<p>Salinity is a major abiotic stress that negatively affects agricultural land, significantly reducing crop yields. …”

Table 1_Effect of compound kushen injection on immune function in patients with colorectal cancer: a systematic review and meta-analysis.docx by Lixin Zhang (55947)

“…Chemotherapy and radiotherapy remain cornerstone treatments; however, they often lead to significant immune suppression and an increased risk of infection. …”

Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Integrating legumes into cropping systems enhances soil carbon and nitrogen content while reduces the soil carbon-to-nitrogen ratio: A global meta-analysis by Zhiqiang Lu (20145192)

“…Moreover, SOC and STN increased when legumes replaced fallow or gramineous soil, whereas SCN significantly decreased only when legumes replaced gramineous systems. …”

Data analysed during this study. by Jakkrit Juhong (20968015)

“…These changes included a decrease in the abundance of <i>Staphylococcus</i> and <i>Bacillus</i> species and an increase in the abundance of <i>Streptococcus, Haemophilus, and Neisseria.…”

Data Sheet 1_A machine learning model for predicting the risk of diabetic nephropathy in individuals with type 2 diabetes mellitus.docx by Tingting Li (10553)

“…The remaining 8,549 patients were divided into a training set (n = 5,985) and a validation set (n = 2,564) using a simple random sampling method in a 7:3 ratio. …”