Data Sheet 1_Perceived protective behavioral changes in Chinese residents post-dynamic zero-COVID policy lifting: a cross-sectional study.docx حسب Yuan-Yuan Song (6287387)

"…The mean scores for the two vaccination-related items were significantly greater than the hypothesized no-change value of 2 (p < 0.001). …"

Relationship of different levels of physical activity on the health status of long-term breast cancer survivors: a cross-sectional study حسب 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).…"

Table 1_Retrospective case-control study of intraoperative EEG correlates in postoperative delirium.pdf حسب Longbiao Zhao (22045532)

"…Multivariate logistic regression identified low MMSE scores, absence of hypertension, and decreased SEF-L/SEF-R as independent predictors of POD (P < 0.05). …"

<b>Mass, Residency Duration, and Previous Experience Shape Post-Escalation but Not Pre-Escalation Outcomes in Experimental Territorial Contests of Atlantic Mudskippers (</b><b><i>P... حسب Michael Smith (21714377)

"…A binomial generalized linear model with logit link estimated the probability of resident escalation as a time-dependent, predictor-driven decision process, while generalized linear models examined how predictors influenced the resident’s total assessment duration in escalated contests and the post-escalation contest duration. …"

Image 1_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png حسب 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. …"

Supplementary file 1_Feasibility of repetitive transcranial magnetic stimulation on non-motor symptoms of spinocerebellar ataxia type 3: a secondary analysis of a randomized clinic... حسب Hua Wu (2707)

"…Correlation analyses revealed no significant predictors of rTMS response based on age at onset, disease duration, number of expanded CAG repeat lengths, or baseline motor symptom severity scores.…"

Image 8_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png حسب 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. …"

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... حسب 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 حسب 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 حسب 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 حسب 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 حسب 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 حسب 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 حسب 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_Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis.docx حسب Alexander Tran (11038679)

"…We also conducted a multivariate linear regression using mental well-being and sociodemographic variables as predictors of consumption.</p>Results<p>Alcohol consumption decreased from 2015 to 2020, mean = 11.49 cl of pure alcohol (SD = 8.23) vs. mean = 10.71 cl of pure alcohol (SD = 12.12), p <.00001, respectively. …"

Image 1_Cerebral small vessel disease as a possibly immune-related adverse event of immunotherapy in lung cancer patients: a retrospective study.tif حسب Na Wu (240778)

"…In the CSVD group, FT₄ levels decreased significantly between baseline and at the time of CSVD diagnosis, from 13.21 ± 4.56 pmol/L to 11.01 ± 2.11 pmol/L. …"

Data Sheet 1_Long-term oncologic outcomes and prognostic factors related to recurrences in pathologic Stage I/II early oral tongue cancer.docx حسب Jin Hye Kwak (21398306)

"…Second primary tumors in the head and neck region occurred in 10.8%, and both recurrence and second primary tumors significantly decreased survival in univariate and multivariate analyses. …"

Presentation 1_Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.pptx حسب 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 حسب 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 حسب 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.…"