Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/nph.12802 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Features of the Nurse-Patient Relationship: Insights from a Qualitative Review Using Artificial Intelligence Interpretation.
Curr Oncol
December 2024
Advanced Data Analysis in Medicine (ADAM), Laboratory of Interdisciplinary Research Applied to Medicine (DReAM), University of Salento and ASL (Local Health Authority), 73100 Lecce, Italy.
Introduction: This qualitative literature review explored the intersection of art, creativity, and the nurse-patient relationship in the context of oncology nursing. It delved into the perceptions and reflections of nurses as captured by Generative Artificial Intelligence (GAI) analysis from two specialized nursing databases.
Methods: The protocol was registered on the Open Science Framework (OSF) Platform.
Key concepts and a world-wide look at plant recruitment networks.
Biol Rev Camb Philos Soc
December 2024
Andalusian Interuniversity Institute for Earth System Research (IISTA), Avenida del Mediterráneo, Granada, 18071, Spain.
Plant-plant interactions are major determinants of the dynamics of terrestrial ecosystems. There is a long tradition in the study of these interactions, their mechanisms and their consequences using experimental, observational and theoretical approaches. Empirical studies overwhelmingly focus at the level of species pairs or small sets of species.
View Article and Find Full Text PDFFace-to-face or face-to-screen: A quantitative comparison of conferences modalities.
PNAS Nexus
January 2025
Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208, USA.
The COVID-19 pandemic forced a societal shift from in-person to virtual activities, including scientific conferences. As society navigates a "new normal," the question arises as to the advantages and disadvantages of these alternative modalities. We introduce two new comprehensive datasets enabling direct comparison between virtual and in-person conferences: the first, from a series of nine small conferences, encompasses over 12,000 pairs of potential scientific collaborators across five virtual and four in-person meetings on a range of scientific topics; the expressed goal of these conferences is to create novel collaborations.
View Article and Find Full Text PDFStructural-functional connectivity decoupling in multiscale brain networks in Parkinson's disease.
BMC Neurosci
December 2024
The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
Background: Parkinson's disease (PD) is a progressive neurodegenerative disease associated with functional and structural alterations beyond the nigrostriatal dopamine projection. However, the structural-functional (SC-FC) coupling changes in combination with subcortical regions at the network level are rarely investigated in PD.
Methods: SC-FC coupling networks were systematically constructed using the structural connectivity obtained by diffusion tensor imaging and the functional connectivity obtained by resting-state functional magnetic resonance imaging in 53 PD and 72 age- and sex-matched healthy controls (HCs).
A Multilayer Network Model for Motor Competence from the View of the Science of Complexity.
Sports Med
December 2024
Research Centre in Physical Activity, Health and Leisure, and Laboratory for Integrative and Translational Research in Population Health, University of Porto, Porto, Portugal.
Motor competence is related to a large number of correlates of different natures, forming together a system with flexible parts that are synergically and cooperatively connected to produce a wide range of motor outcomes that cannot be explained from a predetermined linear view or a unique mechanism. The diversity of interacting correlates, the various connections between them, and the fast changes between assessments at different time points are clear barriers to the study of motor competence. In this manuscript, we present a multilayer framework that accounts for the theoretical background and the potential mathematical procedures necessary to represent the non-linear, complex, and dynamic relationships between several underlying correlates that emerge as a motor competence network.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!