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"They Make It So Hard on You": How Rurality Shapes Veterans' Health Experiences When Managing Gulf War Illness.

J Gen Intern Med

January 2025

VA Portland Health Care System, Center to Improve Veteran Involvement in Care, 3710 SW U.S. Veterans Hospital Road, Portland, OR, 97239, USA.

Background: Gulf War illness (GWI) is characterized by multiple, persistent symptoms (e.g., fatigue, musculoskeletal pain, concentration problems, and gastrointestinal disorders) across more than one body system that are severe enough to interfere with daily functioning.

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Biological age estimation from DNA methylation and determination of relevant biomarkers is an active research problem which has predominantly been tackled with black-box penalized regression. Machine learning is used to select a small subset of features from hundreds of thousands of CpG probes and to increase generalizability typically lacking with ordinary least-squares regression. Here, we show that such feature selection lacks biological interpretability and relevance in the clocks of the first and next generations and clarify the logic by which these clocks systematically exclude biomarkers of aging and age-related disease.

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Background: Criticism of mainstream approaches to child labour is widespread and well-established. The Child Labour Action Research in South and Southeast Asia (CLARISSA) Cash Plus pilot sought to address these critiques through an innovative programme that prioritised the development of household resilience and well-being, and through increasing household capacity to make alternative choices around children's work.

Research: Funded by the UK's Foreign, Commonwealth and Development Office, this pilot delivered unconditional cash transfers (UCTs) and needs-based case management and community mobilising across an entire slum neighbourhood in Dhaka, Bangladesh.

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Background: Several anatomical and functional changes occur during menopause and lead to female sexual dysfunction (FSD). The use of energy-based devices to improve women's sexual health brings an innovative scenario.

Aim: To evaluate the effect of non-invasive radiofrequency (RF) treatment compared to vaginal estrogen therapy (E) and vaginal moisturizer (M) in postmenopausal women with FSD.

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This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic. Firstly, the BPNN principles are studied, revealing issues such as sensitivity to initial values, susceptibility to local optima, and sample dependency.

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