Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

It’s obvious one of the major problems of the 2025 Detroit Lions was their defense. On a weekly basis, the Lions were giving ...

President Donald Trump has a fresh chance this week to act on a priority voters continually say they want fixed — but over which he’s in denial. The high and rising prices of health care, groceries ...

Abstract: Effective management and analysis of large-scale textual data presents significant challenges, notably due to high storage and processing demands. Text regression analysis, a specific branch ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...

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 ...

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: Background: The study’s primary research suggests the relationship between high-school international students in China’s sleep quality and learning efficiency which is academic performance.