Visiting Professor at Kingston University and St George's, University of London, Karen Norman recounts Performing the Art of Nursing, a lively showcase celebrating International Nurses Day 2016.
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| http://dx.doi.org/10.12968/bjon.2016.25.12.668 | DOI Listing |
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis.
Neuroimage
January 2025
College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China; Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. Electronic address:
Dynamic brain networks (DBNs) can capture the intricate connections and temporal evolution among brain regions, becoming increasingly crucial in the diagnosis of neurological disorders. However, most existing researches tend to focus on isolated brain network sequence segmented by sliding windows, and they are difficult to effectively uncover the higher-order spatio-temporal topological pattern in DBNs. Meantime, it remains a challenge to utilize the structure connectivity prior in the DBNs analysis.
View Article and Find Full Text PDFScreen-Printing vs Additive Manufacturing Approaches: Recent Aspects and Trends Involving the Fabrication of Electrochemical Sensors.
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January 2025
Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, 13600-970 Araras, São Paulo, Brazil.
A few decades ago, the technological boom revolutionized access to information, ushering in a new era of research possibilities. Electrochemical devices have recently emerged as a key scientific advancement utilizing electrochemistry principles to detect various chemical species. These versatile electrodes find applications in diverse fields, such as healthcare diagnostics and environmental monitoring.
View Article and Find Full Text PDFBackground And Objective: Lipedema is a commonly underdiagnosed chronic condition. This study aimed to evaluate liposuction techniques for lipedema by conducting a systematic review and presenting our experience. A case series study and a comprehensive review were conducted.
View Article and Find Full Text PDFAugmenting efficient real-time surgical instrument segmentation in video with point tracking and Segment Anything.
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Robotics and Control Laboratory, Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada.
The Segment Anything model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each frame and large computational cost limit its usage in robotically assisted surgery. Applications, such as augmented reality guidance, require little user intervention along with efficient inference to be usable clinically.
View Article and Find Full Text PDFSelf-mentions in design area disciplines: A corpus analysis.
Heliyon
January 2025
Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Monterrey, Mexico.
This study analyzes the self-mention forms represented by first-person pronouns (I, me, my, we, us, and our), self-citations, and other forms of mentions made by the same author(s) in each article (e.g., this writer, the author, the authors, the research team) in a corpus of academic articles (625,195 words) in Design area disciplines to determine the similarities and differences in self-mention practices within these disciplines and the previous findings reported in the literature of authorial self-representation observed in hard and soft fields.
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