STUDY DESIGN: A retrospective multicenter study. OBJECTIVE: To identify independent risk factors for spinal epidural lipomatosis (SEL) and to develop and validate an interpretable machine learning-based predictive model. SUMMARY OF BACKGROUND DATA: S... read more
Ionic liquids (ILs) are salts set apart by their low melting points and can act as highly tuneable solvents with broad application potential, for example as catalysts, in batteries, and for drug delivery. The potential chemical space of ILs is vast, ... read more
Secondary organic aerosols (SOA), a major constituent of fine particulate matter (PM2.5), influence atmospheric chemistry, climate, and public health. However, their formation processes remain insufficiently represented in atmospheric models due to t... read more
Contemporary clinical trials communications
Jan 12, 2026
UNLABELLED: Traditional clinical trial designs such as the isolated two-arm randomized controlled trial (RCT) do not offer robust solutions for evaluating and optimizing delivery of complex, multi-component behavioral interventions. A recent alternat... read more
BACKGROUND: Rapid, low-cost detection of nutrient pollutants such as nitrite (NO2-) and ammonium (NH4+) is crucial for environmental monitoring. Conventional colorimetric instruments offer high accuracy but are expensive, bulky, and unsuitable for on... read more
Convolutional neural networks (CNNs) have attracted extensive attention in food quality analysis, owing to their outstanding ability to process multi-dimensional food quality data. This review summarizes the research progress and potential developmen... read more
This article describes a publicly available multimodal Bangla sentiment dataset designed to support research in speech processing, sentiment analysis, and low-resource language modeling. The dataset comprises two synchronized modalities: sentiment-an... read more
In the field of non-invasive detection methods, sweat analysis has been increasingly capturing the interest of researchers due to its potential for clinical and health monitoring applications. While the detection of various substances in sweat has be... read more
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Jan 12, 2026
PURPOSE: This study aims to develop and validate an interpretable machine learning model that integrates clinical data, radiomics, and deep learning (DL) features extracted from 18F-AlF-NOTA-Pentixafor positron emission tomography/computed tomography... read more
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