This study tests the hypothesis that aging-induced cognitive permeation of sensorimotor functions contributes to adult age differences in spatial navigation performance. Virtual maze-like museums were projected in front of a treadmill. Sixteen 20-30-year-old men and sixteen 60-70-year-old men performed a way-finding task in city-block or variable topographies while walking with or without support. Walking support attenuated age-related decrements in navigational learning. Navigation load increased trunk-angle variability for older adults only. Age differences in spatial knowledge persisted despite perfect place-finding performance. City-block topography was easier than variable topography for younger adults only, indicating age-related differences in reliance on spatial relational learning. Attempts at supporting older adults' navigation performance should consider sensorimotor/cognitive interactions and qualitative differences in navigational activity.
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http://dx.doi.org/10.1037/0882-7974.20.4.683 | DOI Listing |
J Contin Educ Health Prof
January 2025
Ms. Cormack: Adjunct Senior Lecturer, Medical Imaging and Radiation Sciences Department, Faculty of Medicine, Nursing and Health Sciences, Monash University, and PhD Candidate, Education Portfolio, Faculty of Medicine, Nursing and Health Sciences, Monash University, Australia.
Introduction: Point-of-care ultrasound (POCUS) technology has evolved rapidly and is being embraced by many health professionals as a valuable clinical tool. Sonographers are now teaching ultrasound skills to other health professionals in the clinical setting, including doctors, nurses, midwives, paramedics, and physiotherapists. The purpose of this study was to understand the breadth of the opportunities, transitions, and challenges experienced by sonographer educators navigating new interprofessional teaching roles.
View Article and Find Full Text PDFJ Contin Educ Health Prof
January 2025
Dr. Jason J. Weiner: Assistant Professor, Department of Medicine, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD; Chair, Department of Medicine, Naval Medical Center San Diego, San Diego, CA.
Introduction: Despite increasing physician specialization, high-quality continuing professional development is needed for continual mastery learning, especially focused on multiple specialties. Board certification is considered a surrogate for competency, and some stakeholders consider it suboptimally aligned with its primary purpose. We set to explore the motivation for continued education and competence in physicians who are board certified in multiple specialties.
View Article and Find Full Text PDFCureus
December 2024
Department of Pulmonary Medicine, All India Institute of Medical Sciences, Jodhpur, Jodhpur, IND.
Background Airway foreign body aspiration is an emergency predominantly observed in children and the elderly. However, it also occurs in adults, presenting with a variety of symptoms. Both rigid and flexible bronchoscopies are employed for foreign body retrieval.
View Article and Find Full Text PDFDigit Health
January 2025
Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Background: TikTok is a global social media platform with over 1 billion active users. Presently, there are few data on how TikTok users navigate the platform for mental health purposes and the content they view.
Objective: This study aims to understand the patterns of mental health-related content on TikTok and assesses the accuracy and quality of the advice and information provided.
Front Big Data
January 2025
AI Institute, University of South Carolina, Columbia, SC, United States.
The emergence of advanced artificial intelligence (AI) models has driven the development of frameworks and approaches that focus on automating model training and hyperparameter tuning of end-to-end AI pipelines. However, other crucial stages of these pipelines such as dataset selection, feature engineering, and model optimization for deployment have received less attention. Improving efficiency of end-to-end AI pipelines requires metadata of past executions of AI pipelines and all their stages.
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