Table 1_Characterization of glycogen-related glycoside hydrolase glgX and glgB from Klebsiella pneumoniae and their roles in biofilm formation and virulence.docx by Xinyue Liu (170148)

“…We found that both enzymes exhibited significant degradation activity against glycogen substrates and were capable of degrading amylopectin, amylose, and pullulan. …”

Image 1_The contribution of BTK signaling in myeloid cells to neuroinflammation.jpeg by Claudia Bassani (7235849)

“…Therapeutic intervention with evobrutinib ameliorated EAE severity and was associated with a significant modest decrease in the frequency of CNS-infiltrating proinflammatory macrophages. …”

Altering rRNA 2’O-methylation pattern during neuronal differentiation is regulated by FMRP by Michelle Ninochka D’Souza (22365912)

“…This epitranscriptome pattern on rRNA undergoes a significant change during the differentiation of ESCs to neuronal precursors and cortical neurons. …”

Image 2_Exploring the effects of aerobic and resistance exercise on mood-related symptoms and EEG activity.tiff by Kihoon Yuk (20950130)

“…Notably, aerobic exercise significantly decreased the score of HADS-A (anxiety), while resistance exercise significantly improved HADS-D (depression). …”

Table 1_Exploring the effects of aerobic and resistance exercise on mood-related symptoms and EEG activity.docx by Kihoon Yuk (20950130)

“…Notably, aerobic exercise significantly decreased the score of HADS-A (anxiety), while resistance exercise significantly improved HADS-D (depression). …”

Image 3_Exploring the effects of aerobic and resistance exercise on mood-related symptoms and EEG activity.tiff by Kihoon Yuk (20950130)

“…Notably, aerobic exercise significantly decreased the score of HADS-A (anxiety), while resistance exercise significantly improved HADS-D (depression). …”

Image 1_Exploring the effects of aerobic and resistance exercise on mood-related symptoms and EEG activity.tiff by Kihoon Yuk (20950130)

“…Notably, aerobic exercise significantly decreased the score of HADS-A (anxiety), while resistance exercise significantly improved HADS-D (depression). …”

Data Sheet 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.xlsx 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. …”

Data Sheet 1_Effects of continuous cropping on soil metabolomics and rhizosphere bacterial communities in Panax quinquefolius L..docx by Jian Song (4232)

“…Microbial community composition was assessed using Illumina high-throughput sequencing, and metabolite profiles were analyzed using non-targeted metabolomics (UPLC-MS/MS).</p>Results<p>Significant decreases were observed in soil pH (12.2–28.0%), cation exchange capacity (42.6–65.5%), organic matter (8.7–27.3%), total nitrogen (7.6–27.8%), and ammonium (NH₄⁺) content (16.9–56.6%) with an increasing number of continuous cropping years. …”

Image 8_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. …”

Data Sheet 2_Effects of continuous cropping on soil metabolomics and rhizosphere bacterial communities in Panax quinquefolius L..docx by Jian Song (4232)

“…Microbial community composition was assessed using Illumina high-throughput sequencing, and metabolite profiles were analyzed using non-targeted metabolomics (UPLC-MS/MS).</p>Results<p>Significant decreases were observed in soil pH (12.2–28.0%), cation exchange capacity (42.6–65.5%), organic matter (8.7–27.3%), total nitrogen (7.6–27.8%), and ammonium (NH₄⁺) content (16.9–56.6%) with an increasing number of continuous cropping years. …”

Image 1_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 7_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. …”

Data Sheet 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.zip 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. …”

Table 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.docx 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 4_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 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. …”