Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...

Newly available videos and existing footage synchronized and assessed by The Times provide a frame-by-frame look at how an ICE officer ended up shooting and killing a motorist in Minneapolis. By The ...

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, ...

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: 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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

I am bullish on Nvidia Corporation due to its data center and AI technology, which are major long-term growth catalysts. Despite recent stock volatility, I believe, Nvidia's innovation, especially ...

Deterioration of the capillary network is a characteristic of many neurological diseases and can exacerbate neuronal dysfunction and degeneration due to poor blood perfusion. Here, we show that focal ...

ABSTRACT: This study aims to examine the impact of regulation efficiency indicators on FDI considering the moderating effect of institutional quality in 15 countries from MENA Region from 2000 to 2020 ...