Objective To assess the magnitude and associated factors of suicidal behaviour and non-suicidal self-injury (NSSI) among ...

Background The COVID-19 pandemic reversed a decade of progress in reducing child food insufficiency in the United States.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...

Rivian’s smaller R2 SUV is in pilot production, aiming for a 2026 launch and a direct challenge to the Tesla Model Y’s market lead. The Tesla Model Y remains the most popular electric vehicle in the ...

For decades, the United States held unrivalled global leadership in science and technology, based on its world-class research universities, high levels of public and private investment, and a policy ...

The Volkswagen Golf R stands above all other Golf variants in terms of performance and prestige. First introduced as the Golf R32 with a 3.2-liter narrow-angle VR6 engine and standard all-wheel drive, ...

ABSTRACT: Burundi faces alarming food insecurity, affecting 41.2% of the population, with a prevalence of malnutrition reaching 55.9%. Micronutrient deficiencies, particularly iron and zinc, affect ...

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 ...