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Aim: To increase conceptual clarity regarding the self-management of school-age children and adolescents with chronic illnesses in a community context.

Design: Concept Analysis: Rodgers' evolutionary approach.

Data Sources: Search conducted in the Cumulative Index to Nursing and Allied Health Literature, Psychology and Behavioural Sciences Collection, Nursing and Allied Health Collection, Academic Search Complete, Cochrane, Web of Science, Medical Literature Analysis and Retrieval System Online, Scopus, Repositório Científico de Acesso Aberto de Portugal, ProQuest Dissertations and Theses, Joanna Briggs Institute Evidence Synthesis.

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Background: Although more risk prediction models are available for feeding intolerance in enteral-nourishment patients, it is still unclear how well these models will work in clinical settings. Future research faces challenges in validating model accuracy across populations, enhancing interpretability for clinical use, and overcoming dataset limitations.

Objective: To thoroughly examine studies that have been published on feeding intolerance risk prediction models for enteral nutrition patients.

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In the face of diminishing economic margins, dairy farmers globally are compelled to maintain economic competitiveness. Benchmarking emerges as a strategic tool to establish new, achievable improvement objectives that balance ambition with practicality. This typically requires integrating diverse data sources, such as feed, milk production, diet, and market prices.

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The electroreduction of nitrate has emerged as a promising global strategy for water purification in the face of harmful nitrate in wastewater. However, the usually low concentration of nitrate in wastewater poses a great challenge to this process, thus necessitating more in-depth studies to optimize its efficiency. This perspective article briefly explores the various electrochemical pathways of nitrate reduction, including the conversion of nitrate to ammonia, the conversion of nitrate to dinitrogen, and the C-N coupled reduction process.

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Introduction: Human mobility is associated with an increased risk of HIV acquisition and disengagement from HIV care, leading to poorer health outcomes among highly mobile individuals compared to less mobile individuals. Mobile individuals, broadly defined as those who temporally, seasonally, or permanently move from one place to another for voluntary or involuntary reasons, face many challenges in accessing HIV care services. These challenges include logistical difficulties, interruptions in HIV care continuity, and limited access to services across different locations, which together hinder timely testing, treatment initiation, and viral suppression.

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