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Knockdown-resistant mutations in head lice (Pediculus humanus capitis) collected from schoolchildren in Riyadh, Saudi Arabia
Gene metabolite relationships revealed metabolic adaptations of rice salt tolerance
Translation and validation of the meat attachment questionnaire (MAQ) in a French general practice population
Abstract Meat consumption has significant implications for both individual health and the environment. Understanding individuals’ attachment to meat is crucial for designing effective interventions to reduce consumption. The MAQ is a tool developed to assess individuals’ attachment to meat. This study aims to translate and validate the MAQ into French for use in a general practice population in France. The study was conducted in three phases: translation, pretesting through cognitive interviews, and testing through a cross-sectional study of general practice patients. Descriptive, factorial, and internal consistency analyses were performed to validate the French version of the MAQ. The French version of the MAQ consists of 17 items in four dimensions: Hedonism, Affinity, Entitlement, and Dependence. Face validity was confirmed by cognitive interviews. The RMSEA and CFI were 0.06 and 0.92 respectively, showing acceptable goodness-of-fit. Internal consistency was demonstrated with Cronbach’s alpha and Loevinger’s H coefficients exceeding 0.7 and 0.3, respectively. The French version of the MAQ is a valid and reliable tool for assessing individuals’ attachment to meat in a general practice population. Its application shows promise for the design of targeted interventions to reduce meat consumption, benefiting both individual health and environmental sustainability.
Excavating trajectory planning of electric shovel based on dynamic excavating volume prediction
Change in exacerbation rate of COPD patients before and after COVID-19 infection
Improved printed circuit board defect detection scheme
A comparative analysis on the research competency of medical students across the COVID-19 periods
On quasi-integrable deformation scheme of the KdV system
Association of chronic stress during studies with depressive symptoms 10 years later
Abstract The long-tern implications of stress during university for individuals’ mental health are not well understood so far. Hence, we aimed to examine the potential effect of stress while studying at university on depression in later life. We analysed data from two waves of the longitudinal Study on Occupational Allergy Risks. Using the ‘work overload’ and ‘proving oneself’ scales of the Trier Inventory for Chronic Stress and the Patient Health Questionnaire-2 (PHQ-2), participants reported chronic stress during university (2007–2009, mean age 22.2 years, T1) and depressive symptoms ten years later (2017–2018, mean age 31.6 years, T2). We performed linear regression analyses to explore the association between stress during university (T1) and later depressive symptoms (T2). Participants (N = 548, 59% female) indicated rather low levels of stress and depression (PHQ-2 mean score: 1.14 (range: 0–6)). We observed evidence for a linear association between overload at T1 and depression at T2 (regression coefficient (B) = 0.270; 95% confidence interval (CI) = 0.131 to 0.409; standardised regression coefficient (β) = 0.170). Our analyses yielded evidence for an association between chronic stress while studying and risk of depressive symptoms later in life. This finding underlines the importance of implementing sustainable preventive measures against stress among students.
A machine learning interpretation of the correlation between poverty and air pollution in the contiguous United States
Second-generation BRAF inhibitor Encorafenib resistance is regulated by NCOA4-mediated iron trafficking in the drug-resistant malignant melanoma cells
Sex differences in the time trends of sepsis biomarkers following polytrauma
Ecological risk assessment and response prediction caused by LUCC in the central Yunnan Province
Impact of the COVID-19 pandemic on utilization of mental health services among children and adolescents using an interrupted time series analysis
Optimization and DFT study for boosted electooxidation of formic acid at NiOx modified Pt using urea derivatives as blending fuels
Abstract This paper addresses the enhancement of formic acid electrooxidation (FAO) at Pt and Pt-NiOx nanoparticles based-catalysts assisted with urea derivatives as blending fuels. Blending formic acid with various ratios of urea derivatives showed noticeable enhancements of FAO as demonstrated by a favorable negative shift of its onset potential ( E onset ) and increase of its peak current density concurrently with suppression of the amount of CO poisoning reaction intermediate. Among all the used derivatives, phenyl urea (PU) showed superior enhancing effect towards the direct FAO with a minimal CO formation together with a favorable negative shift of E onset by 150 mV. The superb enhancing effect of PU over U and/or other urea derivatives (investigated herein) is attributed mainly to the withdrawing inductive effect of the phenyl group attached to urea. That is the formation of 8 membered ring via hydrogen bonding between PU and formate anion is thought to enrich the electrode/electrolyte interface by FA in such a favorable orientation facilitating the C-H scissoring resulting in the direct oxidation of FA (to CO 2 ) with almost no possibility for CO formation. DFT calculations are used to support this assumption in line with experimental results.
Novel geological framework to understand the origin and diversity of orthopyroxene, olivine, spinel (OOS) lithologies on the Moon
Association between wide-ranging food intake and Parkinson’s disease: a comprehensive mendelian randomization study
Abstract Parkinson’s disease (PD) is a complex neurodegenerative disorder influenced by both genetic and environmental factors, including dietary habits. Despite considerable research, the relationship between food intake and PD risk remains poorly understood. Here, we conducted a comprehensive Mendelian randomization analysis to investigate the association between a wide spectrum of food intake and PD risk. Utilizing data from large-scale genome-wide association studies (GWAS) and dietary databases, we constructed genetic instruments for various dietary factors, including fruit, vegetable, meat, fish, dairy, and grain intake, among others, totaling 170 different food items. Using multivariable inverse variance weighted methods, we found a causal relationship between Mozzarella intake and Parkinson’s disease (odds ratio [OR] = 9.83, 95% confidence interval [CI] = 2.52–38.34, P-value < 0.05). Additionally, a causal relationship was observed between Pancake intake and Parkinson’s disease (odds ratio [OR] = 0.20, 95% confidence interval [CI] = 0.07–0.59, P-value < 0.05). Furthermore, our reverse Mendelian randomization analysis and multivariable Mendelian randomization analysis provided further support for these findings. To our knowledge, we are the first to investigate the causal relationship between the broad intake of 170 different food items and Parkinson’s disease. Our study reveals the causal relationships between Pancake intake, and Mozzarella intake with Parkinson’s disease.