The health care network and hospital system within the Department of Veterans Affairs (VA), the Veterans Health Administration (VHA), provides employment to more than 56,000 nursing personnel and serves as clinical education site to countless other nursing and health professional students. Nurse administrators and educators are posed with the challenge of providing an environment in which each nurse is able to gain needed knowledge, learn new skills, and share and communicate this knowledge with other colleagues. The education of nurses improves the health status of veterans while also realizing individual professional enhancement. Regional and cultural diversity of the system present challenges to education, in both delivery and content. VHA's learning organizations, the Employee Education System and the Office of Special Projects, have maximized new technologies and information systems to provide innovative, virtual education opportunities, capitalizing on the benefits of informal and formal learning, thus moving VHA to the forefront in knowledge sharing and dissemination. The Virtual Learning Center, VA Knowledge Network, Learning Catalog, and VA Learning Online provide VHA's nurses with interactive, desktop virtual learning opportunities.
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http://dx.doi.org/10.1097/00006216-200301000-00009 | DOI Listing |
Neurol Res Pract
January 2025
Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Background: Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.
Methods: The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study.
J Cheminform
January 2025
School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.
G protein-coupled receptors (GPCRs) play vital roles in various physiological processes, making them attractive drug discovery targets. Meanwhile, deep learning techniques have revolutionized drug discovery by facilitating efficient tools for expediting the identification and optimization of ligands. However, existing models for the GPCRs often focus on single-target or a small subset of GPCRs or employ binary classification, constraining their applicability for high throughput virtual screening.
View Article and Find Full Text PDFSci Rep
January 2025
General Psychology, Department of Psychology, Isfahan University, Isfahan, Iran.
Burnout is a complex condition that can strangely affect individuals in healthcare professions, such as surgeons and surgical residents. This study aimed to assess burnout and better explain the concept of burnout in surgical residents and the clarification strategies they take with this phenomenon to solve this problem. This mixed methods study was conducted at Shiraz University of Medical Sciences in 2022-2023 with two quantitative and qualitative phases.
View Article and Find Full Text PDFSci Adv
January 2025
State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China.
Holography is capable of rendering three-dimensional scenes with full-depth control and delivering transformative experiences across numerous domains, including virtual and augmented reality, education, and communication. However, traditional holography presents 3D scenes with unnatural defocus and severe speckles due to the limited space bandwidth product of the spatial light modulator (SLM). Here, we introduce Motion Hologram, a holographic technique that accurately portrays photorealistic and speckle-free 3D scenes.
View Article and Find Full Text PDFPLOS Glob Public Health
January 2025
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America.
The Quality-of-Care Network (QCN), launched by WHO and partners, links global and national actors across several countries to improve maternal and newborn health. We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. We conducted 227 key informant interviews with QCN actors at global, national, and facility levels iteratively in two to four rounds from June 2019 to March 2022.
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