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| http://dx.doi.org/10.7861/futurehosp.6-1-s121 | DOI Listing |
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Anatomy education in transition: examining medical student experiences during the distance education.
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Tekirdağ Namık Kemal University School of MedicineTekirdağ, Türkiye.
Background: Distance education emerged as a potential solution to enhance access, standardize content, and facilitate updates. However, student perceptions varied widely. The COVID-19 pandemic prompted a rapid shift towards distance education in anatomy, presenting challenges and opportunities for medical students globally.
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College of Biology, Hunan University, Changsha, China.
Introduction: Dengue viruses (DENVs), the causative agents of dengue hemorrhagic fever and dengue shock syndrome, undergo genetic mutations that result in new strains and lead to ongoing global re-infections.
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View Article and Find Full Text PDFEffect of two teaching methods on nursing students' acquisition of patient-centered communication competence in older people care: a cluster randomized trial.
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Department of Nursing, Physiotherapy and Medicine, University of Almería, Almería, Spain.
Introduction: Patient-centered communication is an essential skill in nursing, particularly in the care of older adult patients. However, generation Z nursing students, who primarily communicate through digital platforms, face unique challenges in adapting to traditional face-to-face communication with older adults. As a result, there is a need for teaching methods that align with this generation's learning style to enhance their communication skills.
View Article and Find Full Text PDFConstructing age-structured matrix population models for all fishes.
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Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, United States of America.
Matrix population models are essential tools in conservation biology, offering key metrics to guide species management and conservation planning. However, the development of these models is often limited by insufficient life history data, particularly for non-charismatic species. This study addresses this gap by using life history data from FishBase and the FishLife R package, complemented by size-dependent natural mortality estimates, to parameterize age-structured matrix population models applicable to most fish species.
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