Automated vehicles (AVs) are expected to improve safety by gradually reducing human decisions while driving.However, there are still questions on their effectiveness as we transition from almost 0% AVs to 100% AVs with different levels of vehicle autonomy.The focus of this study, therefore, is on synthesizing and identifying risk factors influencin
Ethical inclusion: Risks and benefits of research from the perspective of perinatal people with opioid use disorders who have experienced incarceration.
BackgroundResearch ethics guidelines and emphasis on representation in research guide the inclusion of marginalized groups, including people with perinatal opioid use disorders (OUD) and people experiencing incarceration in the United States.However, insights from participants regarding the risks and benefits of participation are not adequately con
Extracellular Targets to Reduce Excessive Scarring in Response to Tissue Injury
Excessive scar formation is a hallmark of localized and systemic fibrotic disorders.Despite extensive studies to define valid anti-fibrotic targets and develop effective therapeutics, Melatonin progressive fibrosis remains a significant medical problem.Regardless of the injury type or location of wounded tissue, excessive production and accumulatio
A NEW APPROACH FOR MAPPING LAND USE / LAND COVER USING GOOGLE EARTH ENGINE: A COMPARISON OF COMPOSITION IMAGES
In view of the increase in human activities, climate change and related hazards, land use and land cover (LULC) mapping is becoming a fundamental part of the process of any development or hazard prevention project.From this perspective, we propose a new approach for mapping LULC using Machine learning algorithms by comparing the SPIRULINA POWDER re