Source data.xlsx by Qian Cheng (20991434)

“…This limitation restricts electrode thickness, decreases power density, and shortens battery lifetime. …”

The effect of process parameters on the quality of needle-punched nonwoven components used in the automotive industry. by Nontsikelelo Dumakude (13114023)

“…<p dir="ltr">Ethics Ref#:2022FEBEREC-STD-076</p><p dir="ltr">This study examined how different process parameters affect the quality of needle-punched nonwoven components used in the automotive sector. …”

Supplementary file 1_Rotation of soybean and Corydalis yanhusuo enhances yield and active compounds of C. yanhusuo via soil nutrient optimisation and rhizosphere microbiome enginee... by Jia Liu (41593)

“…Microbial OTUs increased in the bulk soil, rhizosphere soil, and roots, along with significant improvements in α-diversity. Over time, the Proteobacteria and pathogenic genera decreased, while Firmicutes and other beneficial genera increased. …”

Table 1_Aerobic exercise ameliorates atherosclerosis-induced cognitive impairment via hippocampal IL-33/NF-κB signaling modulation.xlsx by Jianwei Peng (811819)

“…This study investigates how aerobic exercise affects cognitive impairments caused by AS in ApoE^−/− mice. …”

Data Sheet 1_Aerobic exercise ameliorates atherosclerosis-induced cognitive impairment via hippocampal IL-33/NF-κB signaling modulation.xlsx by Jianwei Peng (811819)

“…This study investigates how aerobic exercise affects cognitive impairments caused by AS in ApoE^−/− mice. …”

Motor imagery EEG microstates are influenced by alpha power by Xin Xiong (113595)

“…These findings suggest that alpha power influences microstate parameters differently depending on the brain, underscoring the significance of inter-band interactions in shaping microstate dynamics.…”

Table1_Nutrient allocation patterns in different aboveground organs at different reproductive stages of four introduced Calligonum species in a common garden in northwestern China.... by Ji-Yuan Liu (5628098)

“…</p>Results<p>Aboveground organs were the main factors affecting the variation of N, P, and K concentrations and their stoichiometric ratios, and the reproductive stages were secondary factors affecting N, P, and the P:K ratio and species were secondary factors affecting K and the N:P and N:K ratios. …”

Oxidative imbalance linked to impaired mitochondrial bioenergetics mediates the toxicity of mesoionic compounds MI-D and MI-J in hepatocarcinoma cells (HepG2) by Ana Paula Perbiche Neves (20978015)

“…Conversely, MI-D and MI-J decreased total peroxidase activity in both media at 25 and 50 μM, respectively. …”

Water bridges by Raman Jangra (19231711)

“…To delineate the structural role of water molecules in shaping the interactions between RNA and proteins, we comprehensively analyzed a dataset of 329 high-resolution crystal structures of RNA–protein complexes to identify water-mediated hydrogen-bonded contacts at the RNA–protein interface. …”

Descriptive statistics. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Image 1_The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period.png by Zhongyuan Bai (8859077)

“…Firmicutes and Proteobacteria initially decreased and then increased, while Bacteroidota exhibited the opposite process. …”

Causal paths for FFM. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Recruitment and screening flowchart. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Image 2_The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period.jpeg by Zhongyuan Bai (8859077)

“…Firmicutes and Proteobacteria initially decreased and then increased, while Bacteroidota exhibited the opposite process. …”

Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

STROBE flowchart. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing FFM at Q1. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Table 3_Unraveling life expectancy and death spectrum changes of registered residents (hukou) in Quzhou, China, 2015–2023: a study using Arriaga decomposition method.docx by Jie Pan (187977)

“…Age groups 55–80 made significant positive contributions, while 0- and 85- groups saw decreased contributions. …”