Data Sheet 1_Discovery of biological markers for schizophrenia based on metabolomics: a systematic review.zip by Gaolei Yao (18253633)

“…Introduction and methods<p>To discover biomarkers for schizophrenia (SCZ) at the metabolomics level, we registered this systematic review (CRD42024572133 (https://www.crd.york.ac.uk/PROSPERO/home)) including 56 qualified articles, and we identified the characteristics of metabolites, metabolite combinations, and metabolic pathways associated with SCZ.…”

Protein identification results. by Huiyang Jia (14444661)

Table 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 5_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Image 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Table 4_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

“…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”

Clozapine for persons with neurodevelopmental disorders: a systematic review and expert recommendations for clinical practice by Hélène Verdoux (110251)

“…After clozapine initiation, a decreased frequency of challenging behavior persisting over time was reported in most participants included in clinical studies, and a significant reduction in the number of admissions in the population-based two-year mirror-image study. …”

Presentation1_Exchange flow in a highly stratified fjord in drought conditions.pdf by Elias Pinilla (20400329)

“…Using a high-resolution hydrodynamic model and the Total Exchange Flow (TEF) framework, we analyzed the impacts of river discharge, tides, and wind during a dry year (2016) and a typical year (2018). …”

Presentation 1_A framework for modeling county-level COVID-19 transmission.pdf by Yida Bao (15255682)

“…We then use Moran's I to evaluate spatial clustering, prompting Spatial Autoregressive and Spatial Error Models when autocorrelation is significant. …”

Sociodemographic characteristics of the sample. by Senay Yildirim-Kahriman (22693464)

“…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. …”

Table 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.docx by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 4_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 2_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 3_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 5_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”

Image 1_Temporal trends of cervical cancer demographics: a CDC WONDER database study.png by Grace Folino (21738503)

“…Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. …”