Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Call for Reforms in the NEET-UG Examination (National Eligibility cum Entrance Test - Undergraduate): Addressing Human Resources in Health for India, the World's Most Populous Country.
J Family Med Prim Care
December 2024
Founder and Chairman Emeritus, Academy of Family Physicians of India, New Delhi, India.
The National Eligibility cum Entrance Test for Undergraduate (NEET-UG) in India serves as a unified admission examination for undergraduate medical courses, aiming to standardize assessment across diverse educational backgrounds. Despite its goals, NEET-UG has faced criticism over fairness, excessive reliance on coaching, and its impact on students' holistic development. The article reviews the limitations of the current NEET-UG format and proposes reforms, emphasizing the need to align the syllabus more closely with medical requirements by reducing physics and chemistry content and prioritizing biology.
View Article and Find Full Text PDFCOVID-19 Vaccine Hesitancy Among Black Women in the US.
JAMA Netw Open
January 2025
Department of Management, Policy, and Community Health, School of Public Health, The University of Texas Health Science Center, Houston.
Importance: COVID-19 vaccine hesitancy among Black women is a critical public health concern, potentially exacerbating existing health disparities and impacting community-wide vaccination efforts.
Objective: To explore the factors associated with COVID-19 vaccine hesitancy among Black women in the US and identify the specific concerns and experiences shaping hesitant attitudes toward vaccination.
Design, Setting, And Participants: Qualitative study using in-depth, semistructured interviews conducted virtually between June and November 2021.
Multi-Agent Reinforcement Learning-Based Computation Offloading for Unmanned Aerial Vehicle Post-Disaster Rescue.
Sensors (Basel)
December 2024
School of Computer Science and Engineering, Northeastern University, Shenyang 110000, China.
Natural disasters cause significant losses. Unmanned aerial vehicles (UAVs) are valuable in rescue missions but need to offload tasks to edge servers due to their limited computing power and battery life. This study proposes a task offloading decision algorithm called the multi-agent deep deterministic policy gradient with cooperation and experience replay (CER-MADDPG), which is based on multi-agent reinforcement learning for UAV computation offloading.
View Article and Find Full Text PDFBeyond the Myths: Brazilian Consumer Perceptions of Functional Food.
Foods
December 2024
Laboratório Multidisciplinar em Alimentos e Saúde, Faculdade de Ciências Aplicadas, Universidade Estadual de Campinas (UNICAMP), Limeira 13484-350, SP, Brazil.
The growing consumer interest in functional foods and healthy eating can unfortunately lead to the spread of misinformation and the belief in food-related myths. This study analyzed Brazilian consumers' perceptions and beliefs about facts and myths regarding functional foods, focusing on attitudes, reference groups, and sociocultural factors affecting their perception. A theoretical model was developed, incorporating constructs such as attitudes (reward, trust, necessity, safety), beliefs, and reference groups.
View Article and Find Full Text PDFAn Intelligent Maneuver Decision-Making Approach for Air Combat Based on Deep Reinforcement Learning and Transformer Networks.
Entropy (Basel)
November 2024
China Academy of Launch Vehicle Technology, Beijing 100076, China.
The traditional maneuver decision-making approaches are highly dependent on accurate and complete situation information, and their decision-making quality becomes poor when opponent information is occasionally missing in complex electromagnetic environments. In order to solve this problem, an autonomous maneuver decision-making approach is developed based on deep reinforcement learning (DRL) architecture. Meanwhile, a Transformer network is integrated into the actor and critic networks, which can find the potential dependency relationships among the time series trajectory data.
View Article and Find Full Text PDFWant 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!