I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Objective to analyze the influence of frailty and cognitive decline on dual-task performance in older adults. Methods cross-sectional study carried out with older adults at a geriatrics outpatient ...

One Equity Partners hauled in $3.25 billion for its ninth flagship fund, above the $2.75 billion target and in a timespan just shy of the recent average for fundraising. President Greg Belinfanti told ...

Department of Computer Science, Department of Cyber Security and Computer Engineering Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied ...

CNS Involvement by North American-Adult T-cell Leukemia/Lymphoma Is Associated With Discrete Dissemination Patterns and Molecular Profiles, Involving XPO1 E571 and KLF2/PI3KCD in Selected Cases ...

Objectives We aimed to assess the healthcare costs and impact on the economy at large arising from emergency medical services (EMS) treated non-traumatic shock. Design We conducted a population-based ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Background Lower-quality employment, characterised by excessive or part-time hours, irregular schedules and inadequate earnings, is a key social determinant of health among adults. Research examining ...

Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable selection methods ...