Incidence rate per 100,000 population by region, gender, and time period. by Hossein Kargar Jahromi (12045728)

Subjects:

Results of rank-sum tests of gender differences in changes in mitigation behaviors. by Joel Myerson (11462695)

Elderly people’s satisfaction with the gender of service personnel. by Chao Yu (562804)

Time distortions are suppressed for longer Standard events. by Franklenin Sierra (12257109)

“…<b>a)</b> With a 120-ms S (corresponding to an 8.33 Hz attentive rhythm) we observed a decrease of the CE as a function of ISI: ISIs longer than 800 ms decreased subjective distortions of the stimuli. …”

Mean values, standard deviation (SD) and significance levels (Mann-Whitney test) of the responses to the additional questions (0 = strongly worsened, 3 = no change, 6 = strongly im... by Christian Hannes (17817132)

The Association Between Smartphone-Related Behaviors and Sleep Quality Stratified by Gender. by Qi Chen (144168)

Subjects:

Comparison of UCPH and CPP data by year and gender. by Julia Rozanova (11309779)

Average word 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. …”

Promotion rate for women based on gender composition of applicant pool. by Lauren Lanahan (3165426)

Subjects:

HIV risk factors and modes of transmission by gender. by Kostyantyn Dumchev (7485692)

Description of the HWs with the greatest increase in excess mortality in each MR, including date of occurrence (year/month/day), observed increase in mortality, duration and intens... by Djacinto Monteiro dos Santos (17841235)

Subjects:

Differences by gender in the studied population. by Siena Molina (16014961)

“…In a cluster analysis, three patterns of patients were identified, with increasing significant mortality differences between them (p<0.001; H.R.:1.67; 95% CI: 1.49–1.88).…”

T test for independent sample of variables by gender. by Shujie Wu (3183627)

Gender-specific silhouettes for self-image assessment. by Soya Kawabata (3494978)

Scarring severity distribution by gender. by Meraf A. Wolle (9461162)

“…Residence in a community with TF≥10% was associated with a 1.6-fold increased odds of any scarring.</p><p>Conclusions/Significance</p><p>Overall scarring prevalence and more severe scarring prevalence was higher in females compared to males, even adjusting for age and community TF prevalence. …”

This supplement contains a complete list of all terms that were significantly enriched using our transcriptomic data. by Amberleigh E. Henschen (3257235)

WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Changes in the scoring of the IPV dimensions for every 1-point increase on the GR scores: Adjusted linear regression coefficients (95% CI) (n = 1,005). by Andrea Llano-Suárez (11681749)

Sleep quality as a function of gender and age. by Maria Estela Colado Tello (21011589)

Subjects:

Gender and variations in the prevalence of tuberculosis between age groups. by John Gameli Deku (18516150)