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Web-based VPython: Performing a least squares fit

Learn how to perform a least squares fit using Web-Based VPython! 🐍📊 This tutorial walks you step by step through data fitting, plotting, and analyzing results with VPython in a web environment.
Engadget

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fitandwell

Prolonged sitting decreases brain blood flow and function, but just two minutes of this light form of exercise can offset the damage

It’s fairly well understood by now that prolonged sitting—whether at your desk, at the wheel or on the couch—can cause your muscles and joints to seize up and stiffen. But research suggests it also ...
GitHub

A lightweight, research-grade Python implementation of Dynamic Conditional Correlation (DCC)–GARCH models for multivariate financial returns.

The dcc_garch package implements the Dynamic Conditional Correlation (DCC) framework proposed by Engle (2002) — a cornerstone in multivariate volatility modeling. It estimates time-varying covariance ...
Frontiers

The ability of SABRE, a new quantitative receptor function model, to quantify receptor binding from even challenging concentration-effect data with a single unified fit

The Signal Amplification, Binding affinity, and Receptor-activation Efficacy (SABRE) model is the most recent general and quantitative model of receptor function. A specific extension of the SABRE ...
GitHub

Using Machine Learning Algorithms to Optimize Treatment with High-Cost Biologics in a National Cohort of Patients with Inflammatory Bowel Disease

This repository contains all code to reproduce the results and figures from: Jason K. Hou, Tiffany M. Tang, Shubhada Sansgiry, Tony Van, Peter Richardson, Codey Pham, Francessca Cunningham, Jessica A.