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http://dx.doi.org/10.1002/adma.201004150 | DOI Listing |
BMJ Open
January 2025
Department of Public Health, Collage of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Background: Sexually transmitted infections (STIs) are a significant global health challenge, demanding attention and intervention. Despite many STIs being manageable, their asymptomatic nature poses a formidable threat to both mental and physical well-being. This silent impact can lead to substantial morbidity and mortality, which is particularly pronounced in East Africa.
View Article and Find Full Text PDFBMC Med
January 2025
Department of Epidemiology, National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing, China.
Background: While previous reports characterised global and regional variations in RSV seasonality, less is known about local variations in RSV seasonal characteristics. This study aimed to understand the local-level variations in RSV seasonality and to explore the role of geographical, meteorological, and socio-demographic factors in explaining these variations.
Methods: We conducted a systematic literature review to identify published studies reporting data on local-level RSV season onset, offset, or duration for at least two local sites.
J Hazard Mater
January 2025
BP Australia Pty Ltd, Melbourne, Victoria 3000, Australia.
Natural Source Zone Deletion (NSZD) is a viable long-term management option for sites impacted by petroleum hydrocarbon fuels. NSZD rate estimation methods for petroleum mass losses often use soil gas gradients of oxygen, carbon dioxide, methane or vapour concentrations through the vadose zone. Seeking greater efficiencies, we investigated if existing short-screened wells are reliable for representative sampling of soil gases in a vadose zone undergoing NSZD.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.
Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. This construction can be improved using the auxiliary information like gene expression profile of the related species or gene markers. To reach out this goal, we apply a generalized linear model (GLM) in first step and later a penalized maximum likelihood to construct the gene regulatory network using Glasso technique for the residuals of a multi-level multivariate GLM among the gene expressions of one species as a multi-levels response variable and the gene expression of related species as a multivariate covariates.
View Article and Find Full Text PDFPLoS One
January 2025
Centre for Appearance Research, School of Social Sciences, College of Health, Science and Society, University of the West of England, Bristol, United Kingdom.
Despite an increase in gym memberships, women are less active than men and little is known about the barriers women face when navigating gym spaces. This study explored women's body image and experiences exercising in gyms. Two-hundred and seventy-nine women (84% current gym-goers; 68.
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