diffusion models

Starch chain architecture and digestibility: Mechanistic links, kinetic descriptors, and routes toward prediction.

Despite extensive research on starch structure-digestibility relationships, a critical gap persists between structural characterization and predictive capability. This review examines how starch chain architecture influences digestibility across molecular, supramolecular, lamellar, and granular scales. It discusses how...

Genomic and food-safety evaluation of Staphylococcus chromogenes in Chinese dairy milk.

Non-aureus staphylococci and mammaliicocci (NASM) cause mastitis and may contaminate milk and dairy products. Milk samples (n = 1916) from cows with subclinical or clinical mastitis (SCM and CM, respectively) were collected from 28 large-scale (> 500 lactating cows) Chinese dairy farms. Overall, 999 NASM isolates repre...

Reply on RC5

Abstract. We propose a reduced axisymmetric tornado model in which the vertical transport of momentum is nonlocal, governed by a fractional derivative whose order is not a free parameter but is fixed by the observed coherent substructure of the vortex through the hierarchical cascade relation α = 2−2/(N+1). Building on...

Time-Dependent Seismic Performance Evaluation of Precast Concrete Frame Joints Affected by Chloride Ion Corrosion in Coastal Atmospheric Environments

Precast concrete frame joints in coastal atmospheric environments are susceptible to mechanical performance degradation caused by chloride-induced corrosion, yet joint-scale numerical studies incorporating multi-indicator time-dependent mechanical responses remain limited. This paper presents a coupled framework that i...

On a two-species Keller–Segel model in higher dimension

Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development

To bridge the gap between in silico predictions, chemical synthesis, and biological reality, emerging solutions such as federated learning, causality-aware Explainable AI, closed-loop autonomous laboratories, and efficiency-oriented algorithmic strategies are explored.

Global boundedness for three-dimensional Keller–Segel–Stokes system modeling indirect signal production with nonlinear diffusion

Geometric Brownian Motion and Cox–Ingersoll–Ross Models

This chapter discusses the use of geometric Brownian motion (GBM) and Cox–Ingersoll–Ross (CIR) models in jump diffusion to explain complex queuing system behaviors. It focuses on hypothetical modeling and practical analysis as opposed to tedious empirical polls. The chapter addresses single and networked queueing syste...

Towards Generalizable Visuotactile Policies for Contact-Rich Robotic Manipulation

Contact-rich robotic manipulation requires a robot to reason not only about the geometry and semantics of its environment, but also about physical interactions that become observable only through contact. While vision provides rich global information, it can be unreliable during close interaction due to occlusion, view...

EEG-LM: A Foundation Model for EEG-Based Emotion Recognition via Diffusion-Augmented Cross-Modal Alignment with Large Language Models

A robust state-of-charge estimation framework for LiNiMnCo/graphite batteries using temperature-coupled incremental OCV modeling under dynamic conditions

Reproducibility Artifact: Scalable AMG Preconditioning for DG Neutron Diffusion Solvers on Manycore CPUs

This repository provides the reproducibility artifact accompanying the paper "Scalable AMG Preconditioning for DG Neutron Diffusion Solvers on Manycore CPUs," accepted at the 17th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), held in conjunction...