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Objective: to identify knowledge production about nurses' contributions to improving healthy and sustainable public spaces.

Methods: an integrative review carried out in February 2023 in electronic databases. Studies that answered the research question and that were available in full, in Portuguese, English and Spanish, were included.

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Piloting a minimum data set for older people living in care homes in England: a developmental study.

Age Ageing

January 2025

Centre for Research in Public Health and Community Care (CRIPACC), University of Hertfordshire, College Lane, Hatfield, UK.

Background: We developed a prototype minimum data set (MDS) for English care homes, assessing feasibility of extracting data directly from digital care records (DCRs) with linkage to health and social care data.

Methods: Through stakeholder development workshops, literature reviews, surveys and public consultation, we developed an aspirational MDS. We identified ways to extract this from existing sources, including DCRs and routine health and social care datasets.

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Background: Strong partnerships, community engagement, and multisectoral collaboration in the health supply chain are synergistic pillars towards achieving universal health coverage. In Rwanda, the health supply chain involves the collaboration of various stakeholders, including distributors, manufacturers, wholesalers, and customers. However, since the eruption and ending of COVID-19, there has not been any study to assess stakeholders' perspectives on the status of the benefits, challenges, and best practices of collaborative partnerships among health supply chain stakeholders in Rwanda.

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Inoculation with the PGPB Herbaspirillum seropedicae shapes both the structure and putative functions of the wheat microbiome and causes changes in the levels of various plant metabolites described to be involved in plant growth and health. Plant growth promoting bacteria (PGPB) can establish metabolic imprints in their hosts, contributing to the improvement of plant health in different ways. However, while PGPB imprints on plant metabolism have been extensively characterized, much less is known regarding those affecting plant indigenous microbiomes, and hence it remains unknown whether both processes occur simultaneously.

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Background: To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented through machine learning approaches intending to scale-up its application, circumvent costs in the training of human assessors and further standardize classification of spontaneous motor patterns. Available deep learning tools, all of which are based on single sensor modalities, are however still considerably inferior to that of well-trained human assessors.

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