Refugees have faced extraordinarily stressful situations in their past, and many continue to experience stress daily as they cope with the refugee adjustment experience. A strengths-based, community-focused intervention known as Health Realization (HR) is a promising strategy for nurses to promote positive psychological outcomes in these populations. Although similar in some ways to cognitive therapy, the HR intervention emphasizes the role of thought versus the content of thought. It does not promote actively changing intrusive or negative thoughts but rather promotes an understanding that allows a degree of detachment from thoughts--a shift in consciousness that can provide relief and facilitate healing. An adapted stress and coping model provides a theoretical framework to test the effectiveness of using HR with refugees, which in turn provides a solid foundation for research that can support or refute the existing substantial anecdotal evidence for the use of this intervention in holistic nursing practice.
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http://dx.doi.org/10.1177/0898010107303275 | DOI Listing |
PLoS One
January 2025
Business School, Huaqiao University, Quanzhou, Fujian, China.
Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China's determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms.
View Article and Find Full Text PDFEvol Comput
January 2025
College of Science, Northwest A&F University, Yangling 712100, China
Decomposition-based multi-objective evolutionary algorithms (MOEAs) are popular methods utilized to address many-objective optimization problems (MaOPs). These algorithms decompose the original MaOP into several scalar optimization subproblems, and solve them to obtain a set of solutions to approximate the Pareto front (PF). The decomposition approach is an important component in them.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37203, United States.
Objective: To develop a framework that models the impact of electronic health record (EHR) systems on healthcare professionals' well-being and their relationships with patients, using interdisciplinary insights to guide machine learning in identifying value patterns important to healthcare professionals in EHR systems.
Materials And Methods: A theoretical framework of EHR systems' implementation was developed using interdisciplinary literature from healthcare, information systems, and management science focusing on the systems approach, clinical decision-making, and interface terminologies.
Observations: Healthcare professionals balance personal norms of narrative and data-driven communication in knowledge creation for EHRs by integrating detailed patient stories with structured data.
J Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States.
Objective: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of PICO entities. This study aims to develop a named entity recognition (NER) model to extract PICO entities with fine granularities.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Northeast Normal University, Department of Chemistry, Renmin Street 5268, 130024, Changchun, CHINA.
Aqueous zinc-iodine batteries (AZIBs) are gaining attention as next-generation energy storage systems due to their high theoretical capacity, enhanced safety, and cost-effectiveness. However, their practical application is hindered by challenges such as slow reaction kinetics and the persistent polyiodide shuttle effect. To address these limitations, we developed a novel class of covalent organic frameworks (COFs) featuring electron-rich nitrogen sites with varied density and distribution (N1-N4) along the pore walls.
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