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

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)

Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…<p>(A) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.134 ± 0.050, APP/PS1 = 0.132 ± 0.054, p < 0.01, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 229 units from 5 recording sessions, n_APP/PS1 = 124 units from 4 recording sessions). …”

Gender wage by sector. by Mingming Li (502877)

“…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21^st century China has not decreased. …”

Descriptive statistics by gender. by Mingming Li (502877)

“…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21^st century China has not decreased. …”

Table_1_Risk of psychological distress by decrease in economic activity, gender, and age due to COVID-19: A multinational study.DOCX by Minji Kim (1722313)

“…This study investigates the associations among decrease in economic activity, gender, age, and psychological distress during the COVID-19 pandemic considering the economic status and education level of countries using multinational surveys.…”

Demographics and clinical characteristics of study participants by gender. by Faisal Alasmari (13242792)

Temporal evolution of the annual number of HWs during the period 1970–2020 at the Brazilian metropolitan regions (MR) sorted by latitude (decreasing with the distance from the Equa... by Djacinto Monteiro dos Santos (17841235)

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

Subjects:

Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and follow-up by gender (<i>n</i> = 662). by Maria Anna Donati (6735548)

Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and post-test by gender (<i>n</i> = 900). by Maria Anna Donati (6735548)

High resolution spatial mapping of dominant frequency. by Terrence Pong (511730)

Subjects:

Demographics by Country and Gender. by Deeviya Francis Xavier (21485043)

“…Regarding creative self-efficacy, we found gender-specific impacts, with male participants experiencing a decrease, contrary to our expectations. …”

Gender distribution of hookworm infections from 2016 to 2019 according to the national surveillance. by Hui-Hui Zhu (6506063)

Subjects:

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

Subjects:

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

Hypnotic and sedative (N05C) prescribing changes from 2014 to 2022. by Dainty Ei (22265317)

Subjects: