Assessment of knowledge, attitude and practice (KAP) on oral health among secondary-level students: a cross-sectional study in Kathmandu, Nepal by Nishika Aryal, Anuja Rajbhandari

“…Similarly, OH practices were significantly associated with gender (p=0.008), age group and students’ grade (both p<0.001) through Chi-square analysis. …”
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Dental caries and related factors in the elderly of the Azar cohort population: A cross-sectional study. by Maryam Hosseinpour Sarmadi, Nasrin Sharififard, Zeinab Mahboobi, Elnaz Faramarzi, Aylin Bilehjani

“…A negative binomial regression analysis with a log link function was employed to investigate the relationship between the DMFT and related variables, including gender, age, marital status, level of education, socioeconomic status, chronic diseases, smoking, alcohol consumption, and body mass index.…”
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ANALYSIS OF RELATIONSHIP BETWEEN FLEXIBLE WORK ARRANGEMENTS, WORK LIFE BALANCE AND EMPLOYEES’ EFFICIENCY: EVIDENCE FROM BOSNIA AND HERZEGOVINA’S (BiH) IT SECTOR by Ognjen Riđić, Adnan Avdibegović, Senad Bušatlić

“…The study aims to test if there is a significant relationship between flexible work arrangements, work-life balance, and employee efficiency with respect to their gender, age, time they travel to work and their children status. …”
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Personal Peacefulness and Cyber-Bystanding of Internet Users in Indonesia by Nurfitriany Fakhri, Faradillah Firdaus, Irdianti, Sahril Buchori, Ria Andriany Fakhri

“…However, no significant relationships were found with passive or reinforcer bystander behaviors. Gender analysis showed that males exhibited higher levels of personal peacefulness than females. …”
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An Analysis of Transportation Mode Choice in Bitung City Using Structural Equation Modeling by Lucia Ingrid Regina Lefrandt, Charles S. C. Punuhsingon

“…The study revealed a significant gender disparity among the respondents, with men dominating the demographics at 60%. …”
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The status of a woman in the ancient world: features of marital and family relations in Ancient Athens by I. A. Lohvynenko, Ye. S. Lohvynenko

“…However, it was in the classical period of ancient Greece formed the first ideas about the harmonious coexistence of male and female, spirituality and love between man and woman, as well as in ancient philosophy, the first doubts about the biological nature of inequality, which in the future led to the formation of key provisions of gender theories.…”
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Association between ultraprocessed foods consumption, eating disorders, food addiction and body image: a systematic review by Cintia Curioni, Thamíris Pereira, Michel Carlos Mocellin

“…No restrictions were placed on diagnostic criteria, age and gender. Studies that modelled UPF consumption as both an exposure and an outcome were included.Data extraction and synthesis Data extraction and quality assessment were performed by two independent reviewers. …”
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RADIO PLAYS AS A SPECIAL GENRE IN THE WORK OF E. JELINEK by Tatiana V. Akasheva, Alexandra D. Zharkova

“…The main themes are the destruction of myths of modern society, formed by mass culture, social and gender inequality in society and the oppression of women. …”
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Relationship Between Bi-Caudate Ratio and White Matter Atrophy in Brain MRI of Multiple Sclerosis by Hussein Soleimantabar, Shno Hosseini

“…Results: Eighty-five patients with a mean age of 40.73 ± 8.45 years and female gender was more prevalent (65.9%). The mean EDSS in all participants was 2.64 ± 2.49, and the mean BCR was 0.11 ± 0.03. …”
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Traumatic Dental Injuries: Clinical Case Presentation and a 10-Year Epidemiological Investigation in an Italian Dental Emergency Service by Alberto Murri Dello Diago, Luigi Generali, Roberto Apponi, Vittorio Colombini, Vittorio Checchi

“…Data relating to age, gender, type of trauma, and place of accident were collected. …”
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The social media diet: A scoping review to investigate the association between social media, body image and eating disorders amongst young people. by Alexandra Dane, Komal Bhatia

“…Specific exposures (social media trends, pro-eating disorder content, appearance focused platforms and investment in photos) and moderators (high BMI, female gender, and pre-existing body image concerns) strengthen the relationship, while other moderators (high social media literacy and body appreciation) are protective, hinting at a 'self-perpetuating cycle of risk'.…”
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Investigating Pre-Service Efl Teachers’ Self-Efficacy Beliefs by Eda Ercan Demirel

“…The study also searched for meaningful differences in terms of gender and age variables. It was concluded that there was significant difference between female and male pre-service teachers in favour of females only in Efficacy in Student Engagement dimension . …”
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Ranolazine Improves Glycemic Variability and Endothelial Function in Patients with Diabetes and Chronic Coronary Syndromes: Results from an Experimental Study by Annunziata Nusca, Federico Bernardini, Fabio Mangiacapra, Ernesto Maddaloni, Rosetta Melfi, Elisabetta Ricottini, Francesco Piccirillo, Silvia Manfrini, Gian Paolo Ussia, Francesco Grigioni

“…The same measurements were collected from 16 patients with CCS and T2D that did not receive ranolazine, matched for age, gender, and body mass index. Results. A significant decline in Hb1Ac levels was reported after 3-month ranolazine treatment (mean change -0.60%; 2-way ANOVA p=0.025). …”
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Transcriptomic predictors of rapid progression from mild cognitive impairment to Alzheimer's disease by Yi-Long Huang, Tsung-Hsien Tsai, Zhao-Qing Shen, Yun-Hsuan Chan, Chih-Wei Tu, Chien-Yi Tung, Pei-Ning Wang, Ting-Fen Tsai

“…Results We discovered a remarkable gender-specific difference in DEGs that distinguish P-MCI from S-MCI. …”
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A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study by Nghia H. Vo, Bui V. Pham, Nghia N. Nguyen, Bao T. Nguyen

“…The CKD was diagnosed using the albumin-to-creatinine ratio and/or estimated glomerular filtration rate by the CKD-EPI 2009 equation based on serum creatinine, age, gender, and race (these tests included a baseline measurement and a repeat measurement after 3 months) according to the KDIGO 2012 guideline. …”
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A survey of educator perspectives toward teaching harm reduction cannabis education. by Molly K Downey, Lisa D Bishop, Jennifer R Donnan, Emily C Rowe, Nick Harris

“…Responses differed by gender and age group, with females of any age and educators under 40 reporting greater support of harm reduction approaches and more interest in training.…”
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Application of artificial intelligence for feature engineering in education sector and learning science by Chao Wang, Tao Li, Zhicui Lu, Zhenqiang Wang, Tmader Alballa, Somayah Abdualziz Alhabeeb, Maryam Sulaiman Albely, Hamiden Abd El-Wahed Khalifa

“…The ALasso model discovered several influential characteristics, namely Gender (X5), Education (X1), Hours of Work (X4), and Marital Status (X6), that significantly affect salaries. …”
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Stress and Coping Strategies among Students: Review by J.A. Marakshina, V.I. Ismatullina, L.M. Marina

“…Additionally, it is informative to consider socio-demographic characteristics such as the gender of participants, year, and field of education, which help to identify additional factors associated with the use of different coping strategies. …”
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Daily Performance of Adolescents with Executive Function Deficits: An Empirical Study Using a Complex-Cooking Task by Yael Fogel, Sara Rosenblum, Renana Hirsh, Mathilde Chevignard, Naomi Josman

“…Participants were 41 adolescents (aged 10–14 years) with normal intellectual function and executive function deficit profiles based on the Behavior Rating Inventory of Executive Function (BRIEF) parent reports and self-reports (BRIEF-SR) and the WebNeuro and 40 controls with typical development matched by age and gender. Participants in both groups performed the CCT, an ecological standardized complex task. …”
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Laparoscopic and open surgery with D3-lymphadenectomy in patients with left-sided colon cancer: clinical and pathological parallels by P. V. Tsarkov, I. V. Reshetov, I. A. Tulina, A. Yu. Kravchenko, D. N. Fedorov, A. V. Leontyev

“…There were no significant differences in terms of age, gender, body mass index, tumor location, and tumor stage between the two groups. …”
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