Genome-based defense gene IDs. by Patricia A. Okubara (5718569)

Coding sequence-based defense gene IDs. by Patricia A. Okubara (5718569)

Decrease of apolipoprotein-A1 by gender and age in US cohort. by Thierry Poynard (38084)

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

Lecturers by gender. by Ignacio García-Espona (21395335)

“…Concerning gender, a clear imbalance in favour of men persists among lecturers. …”

Posters by gender. by Ignacio García-Espona (21395335)

“…Concerning gender, a clear imbalance in favour of men persists among lecturers. …”

Accuracy with defense using autoencoder. by Syeda Nazia Ashraf (17541222)

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Summary of defense and attack detection methods. by Syeda Nazia Ashraf (17541222)

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

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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)

Gender and T cell responses. by Annemarie Namuniina (16496648)

Gender disparity ratio of countries in 1990 and 2019. by Mohsen Abbasi-Kangevari (9714440)

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Basic characteristics of the study participants by gender. by Subeen Kim (11714313)

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Tally of defense- and stress-related gene IDs in the coding sequence-based and genome-based datasets (total RPKM ≥51). by Patricia A. Okubara (5718569)

The relationship between falls and age group and gender in SCI patients. by Shoeleh Rahimi (19065677)

Gender differences. by Nerea Aldunate (5056967)

“…The study also explores gender differences and age. Results reveal positive correlations between good mentalizing and empathy, particularly cognitive empathy, supporting the significance of positive mentalization in empathy. …”

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)

The demographics questionnaire includes questions about age, education, gender and employment. by Marcel F. Hinss (14675457)

Gender-specific incidence trends of HFMD in Guangzhou from 2013 to 2023. by Haipeng Luo (5322419)

The number of the horses participated in the study according to training experience, breed and gender. by Zsófia Nyerges-Bohák (11819886)