Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

A sequential, stage-specific sampling strategy was paired with GC–MS, electronic nose, HPLC, and GC to quantify evolving aroma compounds and flavor precursors. Seventy-two aroma-active compounds were ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...

Background Double sequential defibrillation (DSD) is a promising treatment for patients with out-of-hospital cardiac arrest ...

This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...

Abstract: Recommender systems have become essential in large-scale e-commerce and content platforms. While user preferences are crucial in generating recommendations, the context in which ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

We propose Ψ-Sampler, an SMC-based framework that improves inference-time reward alignment in score-based generative models via efficient posterior initialization using the pCNL algorithm. We ...

This document provides information about the safety requirements that apply under the Hazardous Products (Carpet) Regulations to textile floor coverings manufactured, imported, advertised or sold in ...

Abstract: This article presents an optimization of the sequential spatial adaptive sampling (SSAS) algorithm to accelerate near-field scanning of printed circuit boards or integrated circuits. The ...