Results 141 to 150 of about 84,699 (302)
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
DL-GPRd: Deep Learning for Ground Penetrating Radar Deconvolution
Abstract Ground-penetrating radar (GPR) is a vital tool for subsurface investigation, but traditional deconvolution methods have limitations. This study explores the integration of Deep Learning (DL) techniques to enhance GPR data processing.
G. Roncoroni, E. Forte, M. Pipan
openaire +1 more source
ISO/IEC JTC 1/SC 29/WG 1 (ITU-T SG16)
Relatório técnicoThis document describes the JPEG Pleno Point Cloud Coding [1] Verification Model (VM), consisting of a deep learning (DL)-based joint point cloud (PC) geometry and colour codec [2].N/
Guarda, André F. R. +5 more
core
Microplastics (MPs) breach the gut‐brain axis by triggering taurine‐depleting microbiota dysbiosis that accelerates Alzheimer‐like pathology in 5XFAD mice. Taurine supplementation normalizes autophagy, microglial quiescence, and cognition, and plasma taurine inversely tracks cognitive decline in ADNI participants, revealing a readily translatable ...
Zifeng Wu +8 more
wiley +1 more source
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley +1 more source
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
reservedLa diffusione di dispositivi informatici e di rilevamento basati su semiconduttori ha reso l'industria manifatturiera dei semiconduttori molto esigente.
BONI, FILIPPO
core
Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu +7 more
wiley +1 more source
A pH/MMP dual‐responsive Bifidobacterium longum (BL) hydrogel (INPs@BL@Gel) functionalized with baicalin, tyrosine, and inulin is constructed. It enables gastric protection, inflammation‐targeted release, and prolonged intestinal colonization. By remodeling gut microbiota, elevating beneficial neuroactive metabolites (homovanillic acid, short‐chain ...
Shuo Zhang +17 more
wiley +1 more source
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source

