A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) represents the successful combination of retentate chromatography and mass spectrometry, and this ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...

Abstract: This article investigates a data-driven method to solve the discrete-time linear output regulation problem. Different from existing learning-based data-driven solutions, we adopt the ...

Abstract: In this paper, the model reduction approach is investigated for discrete-time linear coupled systems with input delays. For this purpose, a new class of fundamental matrices is presented for ...

Artificial intelligence (AI) has been the dominant investment trend over the past few years, and exchange-traded funds (ETFs) ...

The study of quantum chaos reveals its early emergence in quantum processors, affecting information scrambling and the ...

Aide, M. T. and Aide, C. C. (2025) Rare Earth Element Accumulation in Annually Flooded Soils along the Mississippi River in Southeastern Missouri. Journal of Geoscience and Environment Protection, 13, ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...