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http://dx.doi.org/10.1109/10.1345 | DOI Listing |
Implement Sci Commun
December 2024
Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA.
Background: All for Them is a theory-based and evidence-informed multilevel, multicomponent program delivered through schools to increase HPV vaccination among medically underserved youth across Texas. Given the potential logistical challenges of program implementation, understanding how to best support the implementation and sustainment of the program is critical. The overall goals of this study are twofold: 1) develop a multifaceted implementation strategy, Implementing All for Them (IM-AFT); and 2) evaluate the impact of IM-AFT on implementation outcomes for schools and healthcare providers to successfully implement All for Them in their respective settings.
View Article and Find Full Text PDFNurs Rep
December 2024
Department of Health Sciences, University of Florence, 50139 Florence, Italy.
Background/objectives: The use of coercive measures (CMs) and security technologies (STs) in mental healthcare continues to raise ethical and practical concerns, affecting both patient and staff well-being. Mental health nurses (MHNs) and nursing students (NSs) play a key role in the decision-making process regarding these interventions. However, their attitudes, particularly toward STs, remain underexplored in Italy.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Charitable Medical Healthcare Foundation, Augusta, GA, United States.
How do reflexes operate so quickly with so much multimodal information on the environment? How might unconscious processes help reveal the nature of consciousness? The Default Space Theory of Consciousness (DST) offers a novel way to interpret these questions by describing how sensory inputs, cognitive functions, emotional states, and unconscious processes are integrated by a single unified internal representation. Recent developments in neuroimaging and electrophysiology, such as fMRI, EEG, and MEG, have improved our knowledge of the brain mechanisms that underpin the conscious mind and have highlighted the importance of neural oscillations and sensory integration in its formation. In this article, we put forth a perspective on an underresearched relationship of reflexes with the dynamic character of consciousness and suggest that future research should focus on the interplay of the unconscious processes of reflexes and correlates of the contents of consciousness to better understand its nature.
View Article and Find Full Text PDFSports 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 PDFJ Med Syst
December 2024
School of Basic Medical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, China.
The success of large language models (LLMs) in general areas have sparked a wave of research into their applications in the medical field. However, enhancing the medical professionalism of these models remains a major challenge. This study proposed a novel model training theoretical framework, the M-KAT framework, which integrated domain-specific training methods for LLMs with the unique characteristics of the medical discipline.
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