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Physiological Effects of Neonicotinoid Insecticides on Non-Target Aquatic Animals—An Updated Review
Published 2021-09-01“…For aquatic species, the known effects of neonicotinoids are described in the level of organismal, behavioral, genetic and physiologic toxicities. Toxicological studies were reported based on the environment of bodies of water, temperature, salinity and several other factors. …”
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Longitudinal stability of genetic and environmental influences on the association between diurnal preference and sleep quality in young adult twins and siblings
Published 2016“…Our overall aim was to examine overlapping concurrent and longitudinal genetic and environmental effects on diurnal preference and sleep quality over ~5 years. Behavioral genetic analyses were performed on data from the longitudinal British G1219 study of young adult twins and nontwin siblings. …”
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Parent-reported child appetite moderates relationships between child genetic obesity risk and parental feeding practices
Published 2023-05-01“…However, longitudinal, qualitative, and behavioral genetic evidence suggests these associations could, in some cases, reflect parents' response to children's genetic risk for obesity, an instance of gene–environment correlation. …”
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Fencing affects movement patterns of two large carnivores in Southern Africa
Published 2023-06-01“…The erection of peripheral fences around protected areas has been shown to adversely affect the movement behavior, genetic connectivity and long-term viability of animal populations. …”
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Genetic confounding in the association of early motor development with childhood and adolescent exercise behavior
Published 2024-03-01“…Results Significant heritability (h2) and shared environmental (c2) effects were found for early motor development in boys and girls (h2 = 43-65%; c2 = 16-48%). For exercise behavior, genetic influences increased with age (boys: h2 age7 = 22% to h2 age14 = 51%; girls: h2 age7 = 3% to h2 age14 = 18%) paired to a parallel decrease in the influence of the shared environment (boys: c2 age7 = 68% to c2 age14 = 19%; girls: c2 age7 = 80% to c2 age14 = 48%). …”
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Causal relationship between obesity, lifestyle factors and risk of benign prostatic hyperplasia: a univariable and multivariable Mendelian randomization study
Published 2022-10-01“…Results The combined odds ratios (ORs) of BPH were 1.24 (95% confidence interval (CI), 1.07–1.43, P = 0.0045), 1.08 (95% CI 1.01–1.17, P = 0.0175), 0.94 (95% CI 0.67–1.30, P = 0.6891), 1.29 (95% CI 0.88–1.89, P = 0.1922), 1.23 (95% CI 0.85–1.78, P = 0.2623), and 1.04 (95% CI 0.76–1.42, P = 0.8165) for one standard deviation (SD) increase in waist circumference, BMI, and relative carbohydrate, fat, protein and sugar intake, 1.05 (95% CI 0.92–1.20, P = 0.4581) for one SD increase in prevalence of smoking initiation, 1.10 (95% CI 0.96–1.26, P = 0.1725) and 0.84 (95% CI 0.69–1.02, P = 0.0741) for one SD increase of log-transformed smoking per day and drinks per week, and 1.31 (95% CI 1.08–1.58, P = 0.0051) for one SD increase in sedentary behavior. Genetically predicted waist circumference (OR = 1.26, 95% CI 1.11–1.43, P = 0.0004) and sedentary behavior (OR = 1.14, 95% CI 1.05–1.23, P = 0.0021) were associated with BPH after the adjustment of BMI. …”
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OPTIMIZING OF BOXING AGENT BEHAVIOR USING ELITISM BASED GENETIC ALGORITHM
Published 2013-07-01“…Key words: Agent behavior, Genetic Algorithm, Optimation, Boxing game, FSM …”
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