Results 101 to 110 of about 8,402 (257)

Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding

Advanced Science, EarlyView.
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen, Junren Wen, Hao Sha, Chenying Yang, Ziyang Chen, Xiaochen Feng, Taiqin Chen, Wenzhen Zou, Xiangyu Chen, Xiangyang Ji, Guojun Liu, Yongbing Zhang   +11 more
wiley   +1 more source

Astrocytic Ketogenesis Protects Central Nervous System Injury via CPT1A Stabilization and Epigenetic Regulation

Advanced Science, EarlyView.
A distinct astrocyte subpopulation, enriched at the lesion border, drives CNS repair through enhanced ketone body metabolism. This process promotes neuronal survival and axonal sparing via CPT1A stabilization and H3K9bhb‐dependent epigenetic reprogramming, positioning astrocytic ketogenesis as a promising therapeutic target for tissue regeneration ...
Dishui Pan, Haoming Shu, Rui Gao, Yilong Ren, Wu Ye, Xuhui Ge, Yao Gu, Yufeng Zhu, Xiaokun Wang, Honglin Teng, Xuhui Zhou, Wei Liu, Yang Gao, Jianquan Zhao, Weihua Cai   +14 more
wiley   +1 more source

Disproportionate Environmental Risks: A Descriptive Analysis of Chemical Facilities and Accidents in the United States

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Using nationwide data on the US Environmental Protection Agency's Risk Management Plan (RMP) program, we examine the proportions of underserved populations living near facilities that use extremely hazardous chemicals, both before and after accidents involving fires, explosions, and/or toxic vapors occur.
Karlee Cook, Dennis Guignet, Robin R. Jenkins, Margaret Sugg   +3 more
wiley   +1 more source

The politics and politicisation of disability [PDF]

, 2020
Kirsti Bohata, Alexandra Jones, Mike Mantin, Steven Thompson   +3 more
openaire   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

Disability Politics and Reproductive Critique in Gayl Jones’s Corregidora

Journal of Integrative and Innovative Humanities
This essay takes a reproductive justice lens, together with the analytical and liberatory insights of intersectional literary and cultural disability studies, to unearth an archive of medical eugenics exercised via non-consensual sterilization in Gayl ...
Theodora Danylevich
doaj