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In the context of the Sustainable Development Goals (SDGs), which strive to ensure comprehensive access to fundamental water, sanitation, and hygiene (WASH) services, it is extremely imperative to prioritize communities in need and still disadvantaged. Moreover, tackling the worldwide sanitation crisis entails advancing the development of productive and sustainable sanitation systems and infrastructure. Sanitation planning is a multidimensional exercise encompassing multiple dimensions, stakeholders, and strategies, typically with conflicting objectives.

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Background & Problem: Infertility affects a substantial number of couples, posing physical, emotional, and psychological challenges. Infertile women experienced a sense of loss of control and planning of life with high stress and anxiety and they must deal with the uncertainty of treatment. The evolution of assisted reproductive techniques has provided hope for couples that struggle with infertility.

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Reflections of adolescent motherhood on infant and young child feeding practices: the case of Uganda.

BMC Public Health

January 2025

Unit of Social Pediatrics, Department of Pediatrics, Faculty of Medicine, Hacettepe University, Ankara, Turkey.

Background: Age-appropriate breastfeeding and adequate complementary feeding play a crucial role in reducing under-5 mortality rates, malnutrition, and mortality worldwide. Given the high prevalence of adolescent pregnancy in Uganda, we aimed to assess the competence of adolescent mothers in infant and young child feeding (IYCF) using data from the 2016 Uganda Demographic Health Survey.

Method: Our sample comprised the last children aged 6-23 months of mothers aged 15-29 years, totaling 2594 mother-infant pairs; 402 were aged 15-19 years, 1,388 were aged 20-29 years with their first delivery before the age of 20, and 804 were aged 20-29 years with their first delivery at 20 years or older.

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Plant viruses pose a significant threat to global agriculture and require efficient tools for their timely detection. We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. The pipeline uses Biopython to automatically retrieve different genomic sequences from the NCBI database to increase the robustness of the subsequent primer design.

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The aim of this study was to determine the prevalence of advanced hepatic fibrosis and to individualize using Bayesian analysis its associated risk factors in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) being cared for in three Alsatian cardio-metabolic health networks in the North East of France. Overall, 712 patients aged ≥18 years with a female predominance were included into a prospective, cross-sectional, and observational study. Advanced fibrosis and severe steatosis were evaluated using transient elastography (FibroScan®).

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