Provincial spatial distribution of subjective poverty in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of human capital in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of social capital in 2019. by Yuanquan Lu (17125093)

Provincial spatial distribution of financial capital in 2019. by Yuanquan Lu (17125093)

The spatial distribution of ozone concentration in China’s provinces in 2015 and 2019. by Li-Min Wang (783263)

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Local spatial autocorrelation of ecological risk in the Engebei. by Jie Zhang (64655)

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Stratified meta-analysis for treatment duration effects of statins versus placebo subdivided into 3-4 months and longer than 4 months of treatment for by Solima Sabeel (9545738)

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Provincial spatial distribution of public service supply in 2019. by Yuanquan Lu (17125093)

Characteristic Decrease in Power in Narrowband Frequencies during Song Across Channels. by Daril E. Brown II (11473299)

Spatial autocorrelation analysis of HIV seropositivity among women in Ethiopia. by Tegene Atamenta Kitaw (17930374)

Local spatial autocorrelation clusters (LISA). by Rodney Plat (16052831)

Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

The research process for the present study. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

The main effects of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

The interaction of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

Descriptive statistics of variables. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

Join-point regression analysis of the severity of road traffic accidents in Shandong Province from 2001 to 2019. by Tao Wang (12008)

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Fitting trend chart of Join-point regression model for mortality rate and case fatality rate in Shandong Province from 2001 to 2019. by Tao Wang (12008)

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The relationship between road network characteristics and the severity of traffic accidents. by Tao Wang (12008)

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