Table1_Assessing physical fitness adaptations in collegiate male soccer players through training load parameters: a two-arm randomized study on combined small-sided games and runni... by YanXiu Quan (19645810)

“…Although there were positive trends in variables such as RSA and 30-15IFT, these changes were modest and not statistically significant. The results suggest that while the combined SSGs and HIIT approach shows potential, its impact on physical fitness over a 4-week period is limited, with some variables, like CMJ, even showing decreases.…”

Image 6_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.</p>Conclusion<p>The EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”

Image 2_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.</p>Conclusion<p>The EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”

Image 7_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.</p>Conclusion<p>The EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”

Image 5_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.</p>Conclusion<p>The EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”

Image 4_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.</p>Conclusion<p>The EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”

Image 3_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.</p>Conclusion<p>The EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”

Table 1_COVID-19 pandemic increased ESKAPEEc bloodstream infections and amplified carbapenem resistance in Chinese children: a multicenter surveillance study (2016–2023).xls by Xiaoqiang Li (612879)

“…Temporal variations and linear trends were evaluated using chi-square or Fisher’s exact tests.…”

<b>Regional asymmetries in dissolved organic carbon response to nitrogen addition rather than soil organic carbon and microbial biomass carbon</b> by Andong Cai (5237024)

“…The effect size of soil DOC decreased linearly with that of MBC to SOC ratio in humid regions, while it increased linearly in non-humid regions. …”

Table 1_Correlation between lactate/albumin ratio and 28-day mortality in sepsis-associated acute kidney injury patients.docx by Susu He (10361615)

“…The Kaplan–Meier curves showed that participants having elevated LAR exhibited significantly decreased survival rates. Cox proportional hazards models showed that higher LAR was related to higher 28-day death rate in SA-AKI patients (HR: 1.224, 95% CI: 1.160–1.291, p < 0.001). …”

Relationship of different levels of physical activity on the health status of long-term breast cancer survivors: a cross-sectional study by Francisco Álvarez-Salvago (21338477)

“…In the second objective, the regression analysis found "future perspective" (β = 0.314; <i>p</i> < 0.01) and "insomnia" (β = −0.288; <i>p</i> = 0.02) to be significant predictors of higher PA levels (r² = 0.224).…”

Image 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.tif by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Image 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.tif by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 4_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 3_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Presentation 1_Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.pptx by Jin Hwa Hong (6523928)

“…</p>Conclusion<p>The study concludes that PARD6G-AS1 hypomethylation and CD44 overexpression are potential predictors of recurrence in CN-H and CN-L EC patients, respectively.…”

Exploring the effects of COVID-19 on verbal memory function in schizophrenia: Multiple case study and brief literature review by Barbora Keřková (15125926)

“…We calculated the Reliable Change Index to estimate the clinical significance of verbal memory performance changes, with annualized change rates in hippocampal volumes assessed against normative data. …”

Table 2_Clinical features and prognosis of NMOSD patients with positive autoimmune antibodies.docx by Yutao Liu (87989)

“…</p>Results<p>(1) Anti-CTD Abs (+): higher proportion of female patients, increased relapse frequency; decreased red blood cell (RBC) count and aspartate aminotransferase (AST) levels. (2) ATAbs (+): greater incidence of acute brainstem syndrome (ABS); reduced peripheral leukocyte, neutrophil, and lymphocyte counts; elevated serum urea levels. (3) Double (+): marked female predominance, higher incidence of ABS, decreased RBC count, hemoglobin (Hb) levels, and cerebrospinal fluid (CSF) chloride concentration; elevated serum urea. (4) AQP4-IgG association: AQP4-IgG-positive patients were more frequently female, with higher prevalence of anti-CTD Abs positivity but lower prevalence of ATAbs positivity. (5) Prognostic analysis: both double-positive and single-antibody-positive groups showed higher disability (EDSS ≥4.0/≥6.0) compared with antibody-negative patients, although no significant differences were observed between the two single-antibody subgroups. (6) Multivariate analysis identified combined antibody positivity (OR = 16.292), baseline EDSS score (OR = 3.179), and age at onset (OR = 1.052) as independent predictors of poor clinical outcomes.…”