This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.

A derivative is a financial instrument that derives its value from an underlying asset. The underlying asset can be equity, currency, commodities, or interest rate. Thus, a change in the underlying ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Erika Rasure is globally-recognized as a leading consumer ...

Daniel Jassy, CFA, is an Investopedia Academy instructor and the founder of SPYderCRusher Research. He contributes to Excel and Algorithmic Trading. David Kindness is a Certified Public Accountant ...

Correspondence to Argyro Kotsifaki, Rehabilitation Department, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Ad Dawhah, Qatar; argyro.kotsifaki{at}aspetar.com Objectives Vertical jump ...

Accurately matching a function name with its equation is essential for creating and interpreting mathematical models. Problem ...

To solve linear systems of differential equations efficiently, representing the system in matrix form is invaluable. If we ...

Abstract: This paper is devoted to the study of the electromagnetic field near an enclosed transmission line. A slotline placed inside a rectangular waveguide was chosen as the transmission line. A ...

This seminar-based course delves into the heart of physics-based animations of solids and fluids, a key component in fields ranging from visual effects and VR to digital fashion. Central to this is ...

1 Sinohydro Bureau 14 Co., Ltd., Kunming, Yunnan, China 2 College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, Guangdong, China Rapid, accurate, and efficient prediction of ...