Concurrent mixed methods design diagram. by Esario IV Daguman (21474116)

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Oscillogram (bottom) and sound spectrogram (top) of <i>Physalaemus cicada</i> (A, B), <i>Scinax pachycrus</i> (C, D), and <i>Scinax x-signatus</i> (E, F). by Rogério Ferreira de Oliveira (11133750)

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Patient migration rates for primary knee arthroplasty from 2013 to 2018. by Fanqiang Meng (4786071)

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Outcomes and data gathering timeline. by Esario IV Daguman (21474116)

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Comparison of postoperative outcomes and financial burden between migrated and non-migrated primary knee arthroplasty patients. by Fanqiang Meng (4786071)

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Sankey diagram of patient migration for primary knee arthroplasty in China. by Fanqiang Meng (4786071)

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Demographics of patients who underwent primary knee arthroplasty during 2013 to 2018. by Fanqiang Meng (4786071)

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Baseline characteristics of propensity score-matched migrated and non-migrated primary knee arthroplasty patients. by Fanqiang Meng (4786071)

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The guiding map. by Esario IV Daguman (21474116)

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Summary of five key points guiding the Safe Steps evaluation and implementation. by Esario IV Daguman (21474116)

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The percentage of patients who migrated to outside provinces for primary knee arthroplasty in different provinces. by Fanqiang Meng (4786071)

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Influencing factors of CCD. by Qian Xie (43047)

“…KDE results indicate a rightward shift in the density curve of the CCD, suggesting a significant reduction in absolute disparities. Panel Tobit regression analysis shows that economic development, urbanization, and education levels significantly and positively influence the CCD on a national scale, with urbanization having the most substantial impact, followed by economic development and education levels.…”

Study methods flow chart. by Luis Polo-Ferrero (20513578)

“…Hormonal changes that occur early in women may influence protein synthesis and promote muscle atrophy, leading to probable sarcopenia, defined as a loss of muscle strength without an obvious decrease in muscle mass. …”

Bivariate Matrix of Social Participation and Chinese network Attributes. by Wenbin Wang (404991)

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Logistic Regression Analysis of Social Engagement and Chinese Network Attribute Matrix, <i>N</i>=187, Changchun, 2017-2019. by Wenbin Wang (404991)

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Descriptive Statistics of Related Variables, <i>N</i>=187, China, 2017–2019. by Wenbin Wang (404991)

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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. …”