Background Self-harm and suicide are common among prison inmates, but less is known about these phenomena in those with psychosis. Objectives The aim of this study was to examine self-harm behaviour ...
Background Germany has the highest density of cigarette vending machines globally, and the recent proliferation of electronic ...
Climate change reports, deleted. DEI initiatives, banned. Local TV and radio stations, defunded. Books, removed from military academies. Names of civil rights leaders, erased from ships. History ...
Data are number of deaths per 100,000 people. LOESS, locally weighted regression; CI, confidence interval. According to the 2025 database update, mortality counts fewer than three for specific age ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
Abstract: It is well-known that the Olympics, as a significant international sporting event, attracts widespread attention to the medal tally. Therefore, predicting Olympic medal counts is of utmost ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
ABSTRACT: Benzimidazolyl-Chalcones (BZCs) possess nitrogen heteroatoms making them very active molecules when protonated. In this work we will focus on a series of fourteen (14) substituted BZC ...
bInfectious Disease Epidemiology Group, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation-–Education City, Doha, Qatar cWorld Health Organization Collaborating Centre for Disease ...
Objective To determine the effectiveness of physical activity interventions involving mobile applications (apps) or trackers with automated and continuous self-monitoring and feedback. Design ...
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