There’s no such thing as a ‘chemical-free’ life, but some simple steps can help you minimize exposures to daily chemicals.

We present GoLongRL, a fully open-source, capability-oriented post-training recipe for long-context reinforcement learning with verifiable rewards (RLVR). Existing long-context RL methods tend to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Heterogeneous sandwich immunoassays are widely used for biomarker detection in ...

High entropy alloys, with anywhere from five or more different metals, have unusual properties and could find use in a variety of high-tech applications. Clare Sansom reports People have been making ...

This is NOT intended to be a "framework" or "library" - it is intended to show off what kind of performance you can get with native PyTorch :) Please copy-paste and fork as you desire. For an in-depth ...

Spiking neural networks (SNNs) are regarded as a promising candidate to deal with the major challenges of current machine learning techniques, including the high energy consumption induced by deep ...

This work studied the fluorescent and solvatochromic properties of coumarin and its derivatives aiming to contribute in the elucidation of the excited state behavior of the molecule in solvent ...

Analysis of corneal tissue natural frequency was recently proposed as a biomarker for corneal biomechanics and has been performed using high-resolution optical coherence tomography (OCT)-based ...

Single-particle tracking (SPT) analysis of individual biomolecules is an indispensable tool for extracting quantitative information from dynamic biological processes, but often requires some a priori ...

Protein undergoes a folding pathway to find a three-dimensional structure that expresses its biological function in a living cell. From vast theoretical studies, the funnel-like free-energy landscape ...