GitHub

Modern JavaScript runtime in Python

Note: jsrun is under development. Expect breaking changes between minor versions. One of the most compelling use cases for jsrun is building safe execution environments for AI agents. When LLMs ...
IEEE

Ultra-Low-Cost Radar Cross Section Measurement and Validation Method Using a 3D-Printed Scale Model in a Non-Anechoic Chamber Environment

Abstract: This paper validates the accuracy of radar cross section (RCS) measurements conducted in an environment that significantly reduces the three main costs associated with RCS measurements: ...
Journal of Medical Internet Research

Methods for Analytical Validation of Novel Digital Clinical Measures: Implementation Feasibility Evaluation Using Real-World Datasets

However, choosing appropriate statistical methodology when conducting analytical validation (AV) of a DM is complicated, particularly for novel DMs, for which appropriate, established reference ...
IEEE

A Comparative Study of Validation Methods for Sensor-Based Human Activity Recognition Using Deep Learning Models

Abstract: With the rise of wearable sensors and smart devices, human activity recognition (HAR) has become a vital research area in ubiquitous computing. Although many studies report high accuracy ...
GitHub

QJS - JavaScript in Go with QuickJS and Wazero

QJS is a CGO-Free, modern, secure JavaScript runtime for Go applications, built on the powerful QuickJS engine and Wazero WebAssembly runtime. QJS allows you to run JavaScript code safely and ...
Psychology Today

We May Want Validation, but What We Really Need Is This

“I just need you to validate my feelings.” It's a phrase therapists, partners, and friends hear constantly—and it reveals something fascinating about our cultural moment. Validation has become the ...
Journal of Medical Internet Research

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

External validation was performed using data from 670 patients at Ajou University Hospital (March 2022 to September 2022). We evaluated machine learning algorithms (random forest [RF], extra-trees ...