Logistic regression analyses for impact of gender, residential area, family system and age on different domains of EPII-A. by Nazish Imran (5280212)

Subjects:

Significant spatial clusters of open defecation practice among households in Ethiopia, EDHS 2016. by Daniel Gashaneh Belay (12334351)

Subjects:

TBSS results showing significant AxD and RD changes at baseline and the follow-up. by Sewon Lim (21989785)

“…The decreased diffusivity metrics (AxD and RD) exhibited no statistically significant differences at <i><i>P</i></i> < 0.05 after correcting for multiple comparisons (FWE). …”

Decreased thrombin activity levels in PAR KO following 24 hours following ischemia. by Efrat Shavit-Stein (3186678)

“…<p>(A) Total thrombin activity is significantly decreased in PAR1 KO compared to WT mice (t-test). …”

<i>Kpna1</i> KO mice show significant impairment in short-term recognition memory and avoidance learning and/or memory. by Koki Sakurai (11690201)

Vibriocidal activities were significantly decreased by depletion of IgM in serum. by Jae Seung Yang (701319)

Spatial distribution of NPP trend and significance of NPP trend in Anhui from 2001 to 2020. by Huan Tang (334333)

DICER protein expression is significantly decreased in the absence of MOV10 and FMRP. by Monica C. Lannom (11772729)

Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI). by Simon Bin Akter (17951860)

Decreased plasmin activity levels in PAR1 KO mice at 24 hours following ischemia. by Efrat Shavit-Stein (3186678)

Spatial models. by Qian Chen (18883)

Subjects:

Gender differences in first choice match outcomes. by Lucy Hui (17538542)

Subjects:

Observed success probabilities (triangles for women, squares for men) and predictions according to Model 3 (increasing curves for women, decreasing curves for men) for the Veni dat... by Casper Albers (4871716)

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. …”

Micronutrients intake and corresponding benchmarks based on the recommended daily allowances (RDA)* of CIBD diagnosed patients by age and gender. by Maha Hoteit (11589163)

Subjects: