Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324701 | PMC |
Publication Analysis
Top Keywords
Similar Publications
A Qualitative Descriptive Study of Rural Primary Healthcare Professionals' Capacity for Disaster Health Management Before and During the COVID-19 Pandemic.
Int J Environ Res Public Health
January 2025
Centre for Improving Palliative, Aged and Chronic Care Through Clinical Research and Translation (IMPACCT), Faculty of Health, University of Technology Sydney, Sydney 2007, Australia.
Introduction: Rural areas face additional challenges in preventing, preparing for, responding to, and recovering from disasters. This study aimed to understand how rural primary healthcare professionals (PHCPs) perceive their roles, involvement, and capacity in disaster health management.
Methods: For this qualitative descriptive research, semi-structured interviews were carried out with convenience and purposive samples of rural PHCPs before and during the COVID-19 pandemic.
A comparative analysis on the research competency of medical students across the COVID-19 periods.
Sci Rep
January 2025
Department of Anatomy, College of Medicine, Jeju National University, 102 Jejudaehak-ro, Jeju-Si, 63243, Jeju-Do, Republic of Korea.
The ability to conduct research and utilize its findings has been a fundamental competency for medical students, often assessed through the observable research outcomes. This study aims to compare the research competency of medical students before, during, and after the COVID-19 pandemic to explore the future direction of research education in medical schools. We collected information on research outcomes submitted by medical students as graduation requirements during the pre-COVID-19, pandemic, and post-COVID-19 periods based on the duration of social distancing.
View Article and Find Full Text PDFIntegrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
View Article and Find Full Text PDFExploring Resources and Reasoning Practices in Socioscientific System Modeling for Justice-Centered Science Education.
CBE Life Sci Educ
March 2025
School of Education, University of North Carolina, Chapel Hill, NC 27514.
Integrating science education with social justice is vital for preparing students to critically address significant societal issues like climate change and pandemics. This study examines the effectiveness of socioscientific system modeling as a tool within Justice-Centered Science Pedagogy (JCSP) to enhance middle school students' understanding of social justice science issues. It focuses on how system modeling can scaffold students' reasoning about complex social systems, informed by their lived experiences, cultural backgrounds, and social identities.
View Article and Find Full Text PDFExpanding the Toolset of Biomolecular NMR with Efficient and Cost-Effective O-Labeling via Bacterial Expression.
Chemistry
January 2025
Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32306, USA.
Article Synopsis
- Oxygen is crucial for biomolecular structures, but its low natural abundance complicates the use of O NMR in research.
- A new method has been developed for quick and cost-effective O-labeling of specific amino acids in recombinant proteins, using a fast synthesis process with a bacterial expression system.
- This technique has successfully produced O-labeled proteins from various organisms, enhancing O NMR's accessibility and providing valuable insights into protein structures and interactions at the molecular level.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!