Objectives To evaluate knowledge, attitudes and practices towards routine vaccination in the Lebanese population in the post-COVID-19 period, and to examine differences between COVID-19 vaccinated and ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Learning to read a survey means understanding margins of error, sampling, weighting, and media framing, with an essential ...

Objectives We aimed to examine the relationship between cycling (particularly commuter cycling) and risk factors associated with cardiovascular diseases (CVDs) including body composition, blood lipids ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...

The neoTRNG aims to be a small and platform-agnostic TRUE random number generator (TRNG) that can be synthesized for any target technology (FPGAs and even ASICs). It is based on simple free-running ...

Abstract: Random numbers influence many applications such as statistical sampling, artificial intelligence, machine learning, etc. Still, random numbers are almost inseparable from cryptographic ...

A random number generator (RNG) is a type of algorithm or hardware device that can produce a series of arbitrary numbers. The quality of an RNG is often measured by its ability to produce ...

Despite thousands of articles addressing heart rate variability (HRV) in healthy subjects and patients with various clinical conditions published during the last decades, our understanding of the ...

Abstract: Sampling from the q-state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs, this problem is ...