Shapley Additive Explanations (SHAP) summary plot. by Yue Lv (549862)

Study sample. by Nipaporn Butsing (19470003)

“…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”

A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

“…The Ψ value on the <i>v</i>-ln <i>p</i>′ plane is consistently negative, and gas replacement results in higher ln <i>p</i>′ values and lower <i>v</i> at the failure state point. As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”

A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

“…The Ψ value on the <i>v</i>-ln <i>p</i>′ plane is consistently negative, and gas replacement results in higher ln <i>p</i>′ values and lower <i>v</i> at the failure state point. As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”

Descriptive statistics of driver characteristics. by Yang Li (7082)

“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”

Experimental scenario design. by Yang Li (7082)

“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”

Fixed effects of driving behavior stability. by Yang Li (7082)

“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”

Factors influencing cognitive response. by Yang Li (7082)

“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”

Speed variation at signal intersections (Time). by Yang Li (7082)

“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”

Selection of covariance types. by Yang Li (7082)

“…Finally, two Generalized Linear Mixed Models were developed to examine factors affecting driving stability, focusing on speed and steering control. …”

The Enzyme Effect: Broadening the Horizon of MS Optimization to Nontryptic Digestion in Proteomics by Kinga Nagy (603019)

“…Our results showed a linear <i>m</i>/<i>z</i> dependence for all enzymes, with Glu-C, Asp-N, and chymotrypsin requiring significantly lower energies than trypsin and Arg-C. …”

Factors affecting LLINs usage at household level. by Job Oyweri (22041452)

“…Bedbug infestation significantly affected net ownership (p = 0.018). Malaria parasite prevalence was 34.7% by qPCR in the pyrethroid-LLIN group and 29.0% in the PBO-LLIN group, with a prevalence ratio of 0.84 (95% CI: 0.65–1.03).…”

Net usage across intervention arms. by Job Oyweri (22041452)

“…Bedbug infestation significantly affected net ownership (p = 0.018). Malaria parasite prevalence was 34.7% by qPCR in the pyrethroid-LLIN group and 29.0% in the PBO-LLIN group, with a prevalence ratio of 0.84 (95% CI: 0.65–1.03).…”

Factors associated with malaria infection. by Job Oyweri (22041452)

“…Bedbug infestation significantly affected net ownership (p = 0.018). Malaria parasite prevalence was 34.7% by qPCR in the pyrethroid-LLIN group and 29.0% in the PBO-LLIN group, with a prevalence ratio of 0.84 (95% CI: 0.65–1.03).…”

Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

“…C: The association between expected VAF and observed VAF according to read depth. Lower read depth may contribute to an overestimated VAF of very small variants, although differences did not reach significance. …”

Data_Sheet_1_Distribution characteristics of soil active organic carbon at different elevations and its effects on microbial communities in southeast Tibet.PDF by Fanglin Ran (19931256)

“…The Shannon diversity of bacteria exhibited a significant decrease with increasing altitude, whereas no significant change was observed in the diversity of fungi. …”

Table 1_Association between life’s crucial 9 and sarcopenia: estimated glucose disposal rate as a key mediator.doc by Xialian Tang (22319332)

“…However, after adjusting for all covariates including BMI, this association became non-significant (OR: 0.994, p = 0.282). Compared to the lowest tertile, participants in the highest tertiles of LC9 and eGDR had significantly lower odds of SP, with reductions of 83.4% (p < 0.001) and 86.0% (p < 0.001), respectively. …”

Table 1_Higher Life’s Crucial 9 protects against infertility among U.S. women aged 18–45 years.docx by Shaoqun Huang (19810725)

“…WQS analyses showed consistent associations (OR=0.27, 95%CI: 0.14, 0.53), with sleep health score, psychological health score, and Body mass index score as significant factors. The dose-response curve indicated a linear association between LC9 and infertility, with higher LC9 associated with lower infertility risk.…”

Table 1_A population-based registry study on psoriasis-associated burden of disease in Finland.docx by Liisa Ukkola-Vuoti (382651)

“…The decrease in the disease-related any-type contact cost per year for the first biological cohort was significant, from €2,098 (95% CI: 1,975, 2,221) to €1,094 (95% CI: 1,012, 1,176; p < 0.001). …”

Supplementary Material for: Association between microbiome dysbiosis and postoperative disorders before and after gastrectomy by figshare admin karger (2628495)

“…Bacterial taxa demonstrating significant changes were determined using the Linear Discriminant Analysis Effect Size algorithm and further analyzed for their relationship with weight loss in the gastrectomy cohort. …”