Results 131 to 140 of about 1,532,491 (274)

Compressive Meta-Learning

open access: yesProceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Extended version of a paper accepted at KDD ...
Daniel Mas Montserrat   +4 more
openaire   +2 more sources

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

open access: yesAdvanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

From the Gut to the Brain: Microplastic‐Associated Neurovascular Dysfunction and Implications for Stroke Risk

open access: yesAdvanced Science, EarlyView.
Chronic oral exposure to microplastics may disrupt gut microbiota homeostasis and intestinal barrier integrity, potentially engaging the gut–brain axis and systemic inflammatory responses. These alterations may be associated with impaired blood–brain barrier function, cerebral microvascular dysfunction, and enhanced endothelial inflammation, pro ...
Hongxing Wang   +5 more
wiley   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu   +5 more
wiley   +1 more source

HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks

open access: yesIEEE Access
Heterogeneous computing networks formed by modern cloud and edge collaboration pose dynamic resource scheduling as a key bottleneck for system performance.
Lin Jiaxin   +4 more
doaj   +1 more source

Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework

open access: yesAdvanced Science, EarlyView.
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee   +5 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

XOR‐Logic Phase Coding Programmable Metasurface for Low Power‐Consumption Systems

open access: yesAdvanced Science, EarlyView.
By leveraging XOR logic, the biasing‐network complexity of 2D programmable metasurfaces is reduced from m×n to m+n through efficient row‐column control. This enables versatile functions including beam deflection and beamforming, facilitating applications in wireless communications and beyond.
Ruichao Zhu   +10 more
wiley   +1 more source

Reply to “Comment on ‘De Novo Reconstruction of 3D Human Facial Images From DNA Sequence’”

open access: yesAdvanced Science, EarlyView.
ABSTRACT This manuscript is a formal response to the Comment by Wagner et al. regarding our publication “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence.” We clarify the methodological rationale, analytical procedures, and scientific scope of our original study, and we address several misconceptions arising in the Comment. We further
Mingqi Jiao   +4 more
wiley   +1 more source

A smart headband for multimodal physiological monitoring in human exercises

open access: yesAdvanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu   +7 more
wiley   +1 more source

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