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Mobile-based peer-led theoretically-designed intervention on continued breastfeeding among Iranian mothers.
BMC Pregnancy Childbirth
December 2024
Department of Public Health, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, P.O. Box, Tehran, 19835-35511, Iran.
Background: This study addresses the determination of educational intervention-based on the Theory of Planned Behavior (TPB)-effectiveness on continued breastfeeding among Iranian mothers attending health centers, considering low researchers' attention to the continued breastfeeding index despite its important impact on children's health.
Methods: The present study was conducted among 230 mothers with exclusively breastfed infant (115 in the intervention group and 115 in the control group). Sampling starts with randomly selecting 12 health centers among all health centers in Karaj, Alborz province, and allocating them randomly into two equal groups of intervention and control.
A spatial triage of at-risk conifer forests to support seed collection efforts and sustainable forestry.
J Environ Manage
December 2024
Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, 08826, Republic of Korea; Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. Electronic address:
At-risk conifer stands growing in hot, arid conditions at low elevations may contain the most climate change-adapted seeds needed for sustainable forestry. This study used a triage framework to identify high-priority survey areas for Pinus ponderosa (Pipo) within a large region, by intersecting an updated range map with a map of seed zones and elevation bands (SZEBs). The framework assesses place-based climate change and potential wildfire risks by rank-order across 740 potential collection units.
View Article and Find Full Text PDFTranexamic acid in hip and spine surgery for children with cerebral palsy - a PRISMA-compliant scoping review.
Syst Rev
December 2024
Department of Paediatrics, The Royal Children's Hospital, University of Melbourne, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Many children with cerebral palsy (CP) are frail and require major hip and/or spine surgeries associated with substantial blood loss. Tranexamic acid (TXA) is commonly used to reduce blood loss, but there is uncertainty around the optimal dose and timing of administration. There have been reviews in sub-populations and specific dosing regimens, but a broad overview of the available literature is lacking.
View Article and Find Full Text PDFInterpretable machine learning-driven biomarker identification and validation for Alzheimer's disease.
Sci Rep
December 2024
Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, China.
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatments, underscoring the critical need for early detection and diagnosis to improve intervention outcomes. This study integrates various bioinformatics methodologies with interpretable machine learning to identify reliable biomarkers for AD diagnosis and treatment. By leveraging differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and construction of Protein-Protein Interaction (PPI) Networks, we meticulously analyzed the AD dataset from the GEO database to pinpoint Hub genes.
View Article and Find Full Text PDFPhenome-wide association network demonstrates close connection with individual disease trajectories from the HUNT study.
PLoS One
December 2024
Department of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Disease networks offer a potential road map of connections between diseases. Several studies have created disease networks where diseases are connected either based on shared genes or Single Nucleotide Polymorphism (SNP) associations. However, it is still unclear to which degree SNP-based networks map to empirical, co-observed diseases within a different, general, adult study population spanning over a long time period.
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