Sociodemographic, occupational, workability characteristics among diabetic workers. by Sarah A. Bolbol (21702891)

Correlation between workability and laboratory findings of diabetic workers. by Sarah A. Bolbol (21702891)

Association between workability and laboratory findings of diabetic workers. by Sarah A. Bolbol (21702891)

Sociodemographic, occupational, and clinical risk factors associated with low workability and results of Logistic regression analysis among diabetic workers. by Sarah A. Bolbol (21702891)

Association between workability and clinical characteristics of diabetic workers. by Sarah A. Bolbol (21702891)

Table 1_Group B Streptococcus vaginal colonisation throughout pregnancy is associated with decreased Lactobacillus crispatus and increased Lactobacillus iners abundance in the vagi... by Toby I. Maidment (15296219)

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.…”