Raw data for Fig 3a. by Parisa Afzal Haghjoo (22453647)

Raw data for Fig 4a. by Parisa Afzal Haghjoo (22453647)

All-Atom Simulations Reveal the Effect of Membrane Composition on the Signaling of the NKG2A/CD94/HLA‑E Immune Receptor Complex by Martin Ljubič (15680161)

“…The decreased membrane thickness in the DPLC model caused a significant transmembrane domain tilt, altering the linker protrusion angle and potentially disrupting the hydrogen bonding network in the extracellular domain. …”

A complete list of differentially expressed genes by calcitriol was compared with vehicles in CaSki cervical cancer cells. by Euclides Avila (41023)

S1 File - by Michael Gulledge (20577135)

“…Despite the prevalence and severity of sleep disturbances during opioid withdrawal, there is a gap in our understanding of their interactions. …”

Absolute β convergence results. by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Conditional β convergence results. by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Regression results. by Ke Liu (121889)

“…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”

Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before Marc... by Fatih Gezer (21485468)

SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

Screening process diagram. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

SHAP waterfall plot. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

SHAP decision plot. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

LASSO regression visualization plot. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

SHAP dependence plots. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

Tertile stratified subgroup analysis. by Wentao Yang (205781)

“…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”