SinoXivBackground/purpose : Interstitial lung disease (ILD) is an important factor determining the course of systemic sclerosis (SSc). Quantitative high-resolution computed tomography (HRCT) radiomics can ai...
Climate change impacts and health inequities intersect sharply in Brazil’s social housing, where housing location, design, and governance shape residents’ exposure to environmental hazards and everyda...
This study investigates the hydrochemical characteristics and controlling factors of water quality along the Axios River (Northern Greece) using a combination of statistical methods and artificial neu...
The El Niño-Southern Oscillation (ENSO) is a major driver of climate and agricultural productivity variability, as those events modulate significant fraction of rainfall and air temperature interannua...
Discrete choice models are useful to understand how decisions are made and to predict future choices. However, most applications rely on several simplifying assumptions. In this paper we relax one of ...
Traditional approaches to anticancer dosing typically rely on fixed protocols that often overlook how patients respond differently to treatment. This can limit both effectiveness and safety. In this w...
Background. Flux balance analysis (FBA) is widely used to simulate gene essentiality in genome-scale metabolic models (GEMs), and several studies have proposed using FBA-based combination simulations ...
Background: The prevalence of dementia is currently set to rise to 1.7 million by 2040, with associated costs estimated at £90 billion. Given its substantial impact on quality of life (QoL) and the gr...
Assessing Llm Hallucinations And The Reliability Of Using LLms For Automated Hallucination Detection
Large language models (LLMs) are increasingly deployed to assess, diagnose, and predict clinical symptoms and outcomes from textual data. However, prior work has shown that LLMs are susceptible to hal...
As virtual reality technologies become integrated into sports broadcasting, they are reshaping how fans engage with live events. This study uses BERTopic, an unsupervised deep learning topic modeling ...
