Number of fear posts by topic by gender. by Yuchen Chai (10873004)

Association between selected variable by gender. by Nthabiseng A. Phaladze (8939834)

Variable differences in gender context. by S. Koza Ciftci (16612088)

“…Some of our main findings are as follows: (a) cultural capital, parental support, and academic success in basic education all have a strong positive effect on becoming an elite scientist; (b) objectified cultural capital has the highest impact in that an increase in this capital increases the probability of becoming elite scientists by 19%; (c) economic capital has no significant effect on elite scientists. …”

Subgroup Analysis of Snakebite Incidence Rates in Iran by Gender and Geographic area. by Hossein Kargar Jahromi (12045728)

Subjects:

Distribution of gender, drug, and age variables in relation to prolonged use of BZD. by Maria Olívia Barboza Zanetti (11980731)

The Increase in happiness, conditional on the co-occurrence with the other gender, is higher for female than for male characters. by Huimin Xu (464647)

“…<p>We analyze three datasets, including 6,087 movie synopses (<b>a</b>), 1,109 movie scripts (<b>b</b>), and 7,226 books (<b>c</b>). The increase in happiness conditional on the co-occurrence with the other gender, measured in the average of positive regression coefficients k, are shown as bars (blue for males and orange for females). …”

Answers are given to the research barriers scale by gender. by Burak Erdem (14504658)

Subjects:

Heat map of the significance coefficients of PH components and PAB time in children, controlling for age, by gender (blue for boys, red for girls). by Xin Xiong (113595)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically si... by Oswaldo Maillard (20660661)

Average word count by gender and domain. by Ron Keinan (19485762)

“…Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. …”

Posts comments count by gender and year. by Ron Keinan (19485762)

“…Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. …”

Comments count by user status and gender. by Ron Keinan (19485762)

“…Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. …”

Posts comments count by gender and domain. by Ron Keinan (19485762)

“…Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. …”

Count of comments by user generation and gender. by Ron Keinan (19485762)

“…Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. …”

Male-to-female ratios of yearly crude rates. by Tony Wong (779773)

Subjects:

Coping strategies and their association with gender. by Durga Rijal (14626650)

Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

Subjects:

Percentage of post-operative cast immobilization following hand and wrist fractures in Sweden, 2008–2023, by region and gender. by Michael Axenhus (11730623)

Statistically-significant cytokine changes between the pre-infusion and post-infusion blood draws plot of the mean (dot) and confidence interval (whiskers) for the coefficients of... by Jordan K. Abbott (8934239)

Subjects:

Time spent each day on sedentary activities by gender. by Jérémy Pierre (13268195)