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Cien Saude Colet
January 2025
Departamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP). R. Botucatu 740, Vila Clementino. 04023-062 São Paulo SP Brasil.
This study aims to analyze the use of the WhatsApp® application in health management, work process, and care in coping with the COVID-19 pandemic. A qualitative research was carried out by multiple case studies with semi-structured interviews with SUS managers and workers from May to November 2022. The material was transcribed and processed on ATLAS.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Escola de Enfermagem Aurora Afonso Costa, Universidade Federal Fluminense. R. Dr. Celestino 74, Centro. 24020-091 Niterói RJ Brasil.
The aim is to unveil the useful value of breastfeeding for lactating women in a prison environment, based on Max Scheler's axiological perspective. This work was a qualitative, developed in a prison unit in Rio de Janeiro, where seven lactating women were interviewed. The phenomenological interview was used for data collection, while Laurence Bardin's content analysis was used for data analysis and treatment.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Laboratório de Educação em Ambiente e Saúde, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil.
To investigate the association between hours of remote work (RWHs) and housework (HWHs), independently, as well as the combined total of work hours (WHs), with gender and mental health of remote workers during the COVID-19 pandemic. Cross-sectional study with data from the ELSA-Brasil (N = 2,318). On average, women reported more time spent on HWHs and WHs than men, while no difference was found in RWHs.
View Article and Find Full Text PDFMicrob Genom
January 2025
Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, OK, USA.
Members of the phylum inhabit a wide range of ecosystems including soils. We analysed the global patterns of distribution and habitat preferences of various lineages across major ecosystems (soil, engineered, host-associated, marine, non-marine saline and alkaline and terrestrial non-soil ecosystems) in 248 559 publicly available metagenomic datasets. Classes , , and were highly ubiquitous and showed a clear preference to soil over non-soil habitats, while classes and showed preferences to non-soil habitats.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
California Institute of Technology, Division of Chemistry and Chemical Engineering, Pasadena, California 91125, USA.
We introduce a change of perspective on tensor network states that is defined by the computational graph of the contraction of an amplitude. The resulting class of states, which we refer to as tensor network functions, inherit the conceptual advantages of tensor network states while removing computational restrictions arising from the need to converge approximate contractions. We use tensor network functions to compute strict variational estimates of the energy on loopy graphs, analyze their expressive power for ground states, show that we can capture aspects of volume law time evolution, and provide a mapping of general feed-forward neural nets onto efficient tensor network functions.
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