Introduction Self-sampling for cervical cancer screening is a promising strategy to improve coverage and reduce strain on ...

Objectives This study aims to assess travel time, associated costs, challenges and factors influencing healthcare facility choices among persons with cancer in Southern India. Design An explanatory ...

M.S. in Biodiversity Data Analytics Program Director Viorel Popescu examines why biodiversity commitments are running into a ...

Anyone who has to price/value a stock or assess a project at a firm has to make estimates in the face of contradictions, both ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

ABSTRACT: Quantitative research is a systematic investigation that utilizes numerical data and statistical techniques to determine relationships between variables and draw conclusions about the ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...

Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

PaCS-Q is a Python toolkit designed to assist with Parallel Cascade Selection simulations (PaCS) for studying protein structural transitions in MD and QM/MM MD level.