Data Sheet 1_Lack of association between genetic variations in CYP3A5 and blood pressure or hypertension risk in the UK biobank.pdf by Pia Leibold (21390134)

“…While some previous studies reported that CYP3A5 variants were associated with decreased blood pressure and risk of HTN, others reported no associations. …”

Data Sheet 1_Global, regional, and national burden of fracture of vertebral column, 1990–2021: analysis of data from the global burden of disease study 2021.docx by Yanni Lan (9092615)

“…Background<p>Fractures of the vertebral column, encompassing various spinal injuries, represent a significant public health burden worldwide. These injuries can lead to long-term disability, reduced quality of life, and substantial healthcare costs.…”

Image 2_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.png by Xiaofang Chen (256976)

“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”

Table 1_A daily positive work reflection intervention for psychological distress among Chinese nurses: a pilot randomized controlled trial.docx by Li Zhang (8200)

“…</p>Results<p>In addition to significant within group improvements over time for both groups, OLS linear regression with Full Information Likelihood Estimation revealed a statistically significant between group treatment effects across outcome domains, including psychological distress, b = 22.60, p < 0.001, g = 11.34, somatic symptoms, b = 6.79, p < 0.001, g = 6.56, depressive symptoms, b = 8.15, p < 0.001, g = 8.19, and anxiety symptoms, b = 7.69, p < 0.001, g = 8.23.…”

Table 1_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.docx by Xiaofang Chen (256976)

“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”

Image 3_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.png by Xiaofang Chen (256976)

“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”

Image 1_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.png by Xiaofang Chen (256976)

“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”

Data Sheet 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.xlsx by Hongman Li (19546419)

“…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”

Table 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.docx by Hongman Li (19546419)

“…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”

Land use intensity classes standard. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Land use transfer matrix 1990-2020 (km²). by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Study area habitat quality LISA clustering map. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Spato-temporal changes in land use types. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Pattern indices of landscape levels. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Table 1_Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study.docx by Shaopeng Li (820947)

“…The prevalence of increased ACR decreased across the CDAI quartiles from 13.89% in Q1 to 10.11% in Q4. …”

Type level landscape index changes in 1990-2020. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

The role of IRF-1 in mediating T-cell immune imbalance in systemic lupus erythematosus and the construction of a diagnostic model by Zichen Huang (6587885)

“…Immune analysis revealed decreased numbers of resting CD4⁺ memory T cells and Tregs (<i>P</i> < 0.01), alongside expanded proinflammatory cells (M1/M2 macrophages, neutrophils; <i>P</i> < 0.01). …”

Location map of the study area. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Data source. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Research Technology Flow Chart. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”