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| http://dx.doi.org/10.21037/mhealth-22-1 | DOI Listing |
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Intimate partner violence and its relation to sexual health outcomes across different adult populations: a systematic review.
Front Sociol
December 2024
Department of Health Behavior and Health Education, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Introduction: Intimate Partner Violence (IPV) significantly impacts adults' wellbeing, causing both physical and psychological harm. IPV has been consistently linked to adverse sexual health outcomes, including an increased risk of sexually transmitted infections, unintended pregnancies, and sexual dysfunction. This systematic review examines the evolving relationship between IPV and sexual health outcomes in adults from 2014 to 2024, addressing gaps in understanding across diverse populations and exploring the complex interplay between violence, sexuality, and health.
View Article and Find Full Text PDFBackground: An overview of internationally published literature on what works for co-production in youth mental health services is missing, despite a practice and policy context strongly recommending this approach. This rapid realist review develops a theory about how and why co-production methods in youth mental health services work, for whom and in which circumstances.
Methods: Relevant evidence was synthesised to develop Context-Mechanism-Outcome configurations (CMOs) that can inform policy and practice.
Telehealth use in the well-child health setting. A systematic review of acceptability and effectiveness for families and practitioners.
Int J Nurs Stud Adv
June 2025
Judith Lumley Centre, School of Nursing and Midwifery, La Trobe University, Melbourne, Victoria, Australia.
Background: Universal well-child health nursing services in high-resource countries promote the health and well-being of children and families while preventing health inequities. The COVID-19 pandemic and technological advancements have led to the increased use of telehealth in this field. To enhance policies and practices, it's important to understand the acceptability and effectiveness of telehealth, as well as the barriers and enablers to its implementation, and to determine when its use is appropriate and safe.
View Article and Find Full Text PDFInformation extraction from green channel textual records on expressways using hybrid deep learning.
Sci Rep
December 2024
Xi'an Shiyou University School of Electronic Engineering, Xi'an, 710065, China.
The expressway green channel is an essential transportation policy for moving fresh agricultural products in China. In order to extract knowledge from various records, this study presents a cutting-edge approach to extract information from textual records of failure cases in the vertical field of expressway green channel. We proposed a hybrid approach based on BIO labeling, pre-trained model, deep learning and CRF to build a named entity recognition (NER) model with the optimal prediction performance.
View Article and Find Full Text PDFReduced bacteria concentrations in wastewater is a key indicator of the efficacy of water resource recovery facilities (WRRFs). However, monitoring the presence of bacterial concentrations in real time at each stage of the WRRF is challenging as it requires taking and processing water samples offline. Although few studies have been proposed to predict bacterial concentrations using data-driven models, generalizing these models to unseen data from different WRRFs remains challenging.
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