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 ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

In this tutorial, we explore how to build neural networks from scratch using Tinygrad while remaining fully hands-on with tensors, autograd, attention mechanisms, and transformer architectures. We ...

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 study investigates the impact of using engineering design as a conceptual framework for developing interdisciplinary sustainable project-based learning experiences in K–12 rural settings to ...

Objective: Using the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework, this study evaluated the implementation of the virtual COVID-19 HITH service and identified ...

ABSTRACT: A 3-cycle action research on modular instruction employing the Community of Inquiry framework overarching the Plan-Do-Study-Act (PDSA) model, revealed the need for assessments in addition to ...