Background: Despite its proven efficacy, retention in medication for opioid use disorder (MOUD) remains low, with structural and systemic barriers—such as access to care and treatment ...

Background Improving small and sick newborn care (SSNC) is crucial in resource-limited settings. Newborn Essential Solutions and Technologies (NEST360), a multicountry alliance, aims to reduce newborn ...

This repository contains the official implementation of the paper "Discovery of the Reward Function for Embodied Reinforcement Learning Agents". It includes scripts and experiments designed to ...

On 29 October 2025, the Singapore Exchange regulation (“SGX RegCo”) announced a series of regulatory changes aligned with a shift towards a more disclosure-based regulatory regime. In parallel, on the ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

Introduction Despite growing evidence to characterise cancer-associated cognitive decline (CACD) in women with breast cancer, interventions to mitigate CACD are limited. Emerging evidence suggests ...

Association of IFITM3 with the efficacy of anti-PD1/PD-L1 therapy and regulation of immunosensitivity via MHC-I regulation in SCLC.