S1 File - by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

Flowchart of the selection program. by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

SEM images of cobalt-based catalysts supported on Al₂O₃ at different magnifications. by Ning Zuo (17295415)

Fos does not interact with Jun but homodimerizes post axotomy. by Gibarni Mahata (19486154)

Navigation error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Summary of related works. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Research methodology flow diagram. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Positioning error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Error-Bar graph. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

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

“…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)

“…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.…”

Improving QoL through the use of STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…Additionally, indirect costs such as caregiver burden were not fully analyzed. Future longitudinal studies are needed to further validate the economic and clinical benefits of wearable monitoring devices in PD management. …”

Scenario 1. Moderate patient with STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…Additionally, indirect costs such as caregiver burden were not fully analyzed. Future longitudinal studies are needed to further validate the economic and clinical benefits of wearable monitoring devices in PD management. …”

Scenario 2. Advanced patient with STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…Additionally, indirect costs such as caregiver burden were not fully analyzed. Future longitudinal studies are needed to further validate the economic and clinical benefits of wearable monitoring devices in PD management. …”

Principal coordinates analysis (PCoA). by Wararak Choovanichvong (22110371)

“…Analysis of bacterial abundance revealed a shift in trends as the disease combined from control to NSESKD and SESKD group, respectively, across 7 genera: <i><i>Actinobacillus</i></i>, <i>TM7x</i>, <i><i>Capnocytophaga</i></i>, <i><i>Neisseria</i></i>, and <i><i>Leptotrichia</i></i> increased in abundance, while <i><i>Actinomyces</i></i> and <i><i>Atopobium</i></i> decreased. Linear discriminant analysis effect size (LEfSe) identified <i><i>Leptotrichia</i></i> as a potential biomarker for ESKD (both with and without sarcopenia).…”

Experimental and Numerical Investigations of Soot Formation in the Laminar to Turbulent Transition of an Acetylene Diffusion Flame by Shijun Chen (835302)

“…Results from different regimes indicate the following: (1) In the laminar state, <i>ṁ</i>_soot increased linearly with <i>Re</i>, with a growth rate positively correlated with the tube diameter. (2) After entering the transitional state, <i>ṁ</i>_soot decreased exponentially by over 95%; <i>T</i> gradually increased by 150 K; and both SPL and the standard deviation of <i>T</i> (σ_<i>T</i>) initially rose and then declined. (3) After entering the fully turbulent state, SPL increased again whereas σ_<i>T</i> stabilized at 14. …”

Clustering analysis of total and active RNAP II at genes during the transition from G1 to G2. by Douglas Maya-Miles (7024967)

Sequential viral infection modulates the intestinal bacterial microbiome. by Yuhao Li (1559569)

Global trends of SAH in AYAs from 1990 to 2021. by Xuanchen Liu (12188147)

“…Decomposition analysis indicated that population growth was the primary driver of increased SAH cases, while epidemiological changes contributed significantly to the decline in deaths and DALYs.</p><p>Conclusion</p><p>The findings underscore the need for targeted public health interventions, particularly in low and low-middle-SDI regions, to reduce the burden of SAH among AYAs. …”

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

“…Logistic regression was used to identify factors influencing net ownership and malaria prevalence, while a generalized linear model assessed factors affecting net usage. …”