Descriptive Statistics of Related Variables, <i>N</i>=777, China, 2017–2019. by Wenbin Wang (404991)

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Contingency Table of Factors of Social Participation and Settlement Intentions, N=187, China, 2017–2019. by Wenbin Wang (404991)

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ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Location of the study area. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Random Forest structure with cross-validation. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Land use change from 1990 to 2020. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Geographic data. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Classification accuracy. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Forest plot between UCAR and cognitive impairment. by Yubo Teng (21246745)

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Flowchart of participants in this study. by Yubo Teng (21246745)

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Nonlinear relationship between UACR and cognitive impairment. by Yubo Teng (21246745)

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Threshold effect analysis of UACR and cognitive impairment. by Yubo Teng (21246745)

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Analyzing the relationship between UACR (<30) and cognitive scores and impairment. by Yubo Teng (21246745)

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Analyzing the relationship between UACR and cognitive scores and impairment. by Yubo Teng (21246745)

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Baseline characteristics of participants (N = 2385) by UACR. by Yubo Teng (21246745)

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Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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Summary of meta-analysis results to compare visfatin level before and after NSPT among cases with periodontitis. by Zahra Tajik (20752452)

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List of Included studies. by Zahra Tajik (20752452)

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Flow chart of the literature search for studies included in meta-analysis. by Zahra Tajik (20752452)

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The search strategy in three databases. by Zahra Tajik (20752452)

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