This Python script demonstrates the Gaussian distribution function, also known as the normal distribution. The Gaussian distribution is a continuous probability distribution that is symmetric about ...

Background Stroke volume is an established echocardiographic marker but has not been widely studied in patients with ...

Alternative splicing of hundreds of genes in neurons generates isoforms essential for synaptic plasticity during a critical ...

Institute of Chinese Medical Sciences & State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China ...

Stock market returns are rarely 'average' - big up years drive long-term performance and annual caps often limit ...

Background Acute myocarditis is a potentially life-threatening cardiac condition and immediate assessment of this disease is ...

FPA explains how the Flexible Fixed Income Fund navigated tariff-driven volatility with high-quality bond picks and ...

Purpose To determine the effects of advanced spectacle lens technologies on changes in spherical equivalent of refraction ...

With the new 849 Testarossa, Ferrari is bringing the childhood dreams of yesteryear back to life. At least, that's the hope.

Abstract: This paper presents a probabilistic approach for statistical modeling of the loads in distribution networks. In a distribution network, the probability density functions (pdfs) of loads at ...

Crohn’s disease is a chronic autoimmune inflammatory disorder affecting the gastrointestinal tract. It is characterized by a ...

Finding ways to fit the probability distribution of a dataset using a Bayesian Neural Network and the Variational Inference technique. Trying to solve some unstability issues in the ELBO loss adapt ...