Table 2_Adherence to recombinant human growth hormone therapy in children: influencing factors and clinical implications.xlsx by Wenjing Chang (8334480)

Toxic effects of tetracycline on non-target lichen <i>Evernia prunastri</i> by Gintarė Sujetovienė (20473329)

“…At higher TC concentrations, 500 mg/L SOD activity was significantly elevated. In the case of CAT, APX and GR, TC at higher concentrations significantly decreased these enzymic activities. …”

Table 1_Adherence to recombinant human growth hormone therapy in children: influencing factors and clinical implications.xlsx by Wenjing Chang (8334480)

Supplementary Material for: Effect of endobronchial valve treatment on skeletal muscles, fatigue, and sleep in severe emphysema patients by figshare admin karger (2628495)

“…Intercostal thickening fraction did not change following treatment. Fatigue decreased significantly, reducing severe fatigue prevalence from 70% to 25%. …”

Figure 5 from Elraglusib Induces Cytotoxicity via Direct Microtubule Destabilization Independently of GSK3 Inhibition by Josh T. Coats (20321355)

“…Blots are representative of three independent experiments, and quantification combines three independent experiments. Fold change calculated vs. control, error bars represent SEM, and statistical significance was determined using one-way ANOVA, with <i>P</i> ≤ 0.05. ns, not significant; *, <i>P</i> < 0.05; ****, <i>P</i> < 0.0001.…”

Table 1_Development of the breastfed infant oral microbiome over the first two years of life in the BLOSOM Cohort.docx by Roaa A. Arishi (21089924)

“…Introduction of solid foods was a significant milestone in oral microbiome development, triggering an increase in bacterial diversity (richness P = 0.0004; Shannon diversity P = 0.0007), a shift in the abundance of seven species, and a change in beta diversity (P = 0.001).…”

Supplementary file 1_Impacts of Bacillus-based biotics and an enzyme cocktail on growth performance, immunity, and gut pathogenic microorganisms of nursery pigs under commercial co... by Seong-Min Koo (21788807)

“…Additionally, both B and D treatments decreased Mycoplasma spp. in the gut, as indicated by log fold change (LFC) values of −1.571 and −1.529, respectively.…”

AI-guided EMS for chronic musculoskeletal pain: subgroup-level outcomes from a digital health platform by Maja Green (8462307)

“…</p> <p>Across ~185,000 sessions, users reported significant pain reduction. Mean pain decreased by 2.4 points (<i>p</i> < 0.001), exceeding 30% improvement, with benefits sustained at 12 and 24 months. …”

Table 1_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Table 4_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Table 2_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Supplementary Material for: Off-label Use of Mycophenolate Mofetil in Immunoglobulin A Nephropathy: A Systematic Review and Meta-analysis by Feng L. (5056958)

“…No significant differences were detected in the incidence of ESRD (RR: 0.87, 95% CI: 0.38 to 2.03), or progression of chronic kidney disease (RR, 1.01; 95%CI, 0.22 to 4.57). …”

Table 3_Mendelian randomization and bioinformatics unveil potential links between gut microbial genera and colorectal cancer.xlsx by Long Wu (655081)

“…Background<p>Colorectal cancer (CRC) poses a significant global health burden, with high incidence and mortality rates. …”

Data Sheet 2_GLP-1 and glucagon receptor dual agonism ameliorates kidney allograft fibrosis by improving lipid metabolism.pdf by Linjie Peng (12553717)

“…Introduction<p>Kidney allograft fibrosis accelerates the progression of chronic kidney disease (CKD), leads to allograft failure, and increases patient mortality. …”

Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data Sheet 3_GLP-1 and glucagon receptor dual agonism ameliorates kidney allograft fibrosis by improving lipid metabolism.zip by Linjie Peng (12553717)

“…Introduction<p>Kidney allograft fibrosis accelerates the progression of chronic kidney disease (CKD), leads to allograft failure, and increases patient mortality. …”

Table 1_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.docx by Younggwang Kim (21562529)

“…Fusobacterium, Prevotella 9, Parvimonas, and Holdemanella were significantly enriched in pre-surgical samples and declined after surgery (p < 0.01). …”

Image 1_Comparative microbiome analysis of paired mucosal and fecal samples in Korean colorectal cancer patients.tif by Younggwang Kim (21562529)

“…Fusobacterium, Prevotella 9, Parvimonas, and Holdemanella were significantly enriched in pre-surgical samples and declined after surgery (p < 0.01). …”

Space-to-depth convolution. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data augmentation. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”