Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.
ABSTRACT: This study examines the impact of job stress on employee turnover intention in Bangladesh’s garments sector, integrating the Job Demands-Resources (JD-R) model to explore the mediating role ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
ABSTRACT: Background: Mother-To-Child Transmission (MTCT) of HIV-1 and associated mortality remain unacceptably high despite extensive implementation of Prevention of Mother-To-Child Transmission ...
Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...
We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...
Introduction: The aim of this study is to reveal the effect of scientific attitude and intelligence on STEM (science, technology, engineering and mathematics) motivation using Structural Equation ...
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