The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Master Python functions and apply them to solve physics problems efficiently. Learn step-by-step techniques for simulations, calculations, and modeling in physics using Python. Ideal for students, ...

Learn how to calculate the maximum projectile range using Python functions. This tutorial demonstrates step-by-step coding techniques to simulate projectile motion, optimize range, and understand ...

Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...

Cyberattacks on Taiwan's critical infrastructure — purported from China — averaged 2.63 million attempts per day, targeting ...

Abstract: The conventional resource allocation methods, using a central node, are not resilient, owing to the failure of the central unit. An advanced solution is to apply distributed optimization by ...

Abstract: Subset selection, a fundamental problem in various domains, is to choose a subset of elements from a large candidate set under a given objective or multiple objectives. Pareto optimization ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...

This toolkit provides an automatic computational workflow for designing steel alloys, a case study of medium-manganese steels. It integrates thermodynamic calculations (using TC-Python), kinetic ...