Results 41 to 50 of about 2,783,234 (200)

TDA-DARKNet: A Deep Learning Model Based on Dual-Polarization Radar Data for Tornado Detection

Remote Sensing
Tornado is a localized, small-scale severe convective weather phenomenon characterized by extreme destructiveness. Tornado detecting and warning mainly rely on Doppler weather radar, which identifies and tracks tornadoes by recognizing the tornado vortex
Guoxiu Zhang, Qiangyu Zeng, Fugui Zhang, Hao Wang, Tiantian Yu   +4 more
doaj   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

Advanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou, Zhuo Chang, Xianjun Wu, Sijie Wang, Yuzhi Zhang, Hao Zhang, Haoyu Xu, Ruining Peng, Zhe Wang, Huiyun Xu, Yu Liu, Guangkui Xu, Nu Zhang, Hui Yang   +13 more
wiley   +1 more source

Deep neural networks have an inbuilt Occam’s razor

Nature Communications
The remarkable performance of overparameterized deep neural networks (DNNs) must arise from an interplay between network architecture, training algorithms, and structure in the data. To disentangle these three components for supervised learning, we apply
Chris Mingard, Henry Rees, Guillermo Valle-Pérez, Ard A. Louis   +3 more
doaj   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Evaluation of therapeutic effects of D‐limonene following orchiopexy in the rat model of cryptorchidism

Animal Models and Experimental Medicine, EarlyView.
D‐limonene supplementation enhances testicular recovery following orchiopexy in a rat model of bilateral cryptorchidism. Treatment with D‐limonene reduces oxidative stress (↓MDA, ↑SOD, ↑GPx, ↑TAC), downregulates pro‐apoptotic proteins (↓TNF‐α, ↓BAX, ↓Caspase‐3), and upregulates anti‐apoptotic Bcl‐2 expression.
Arman Norouzi‐Ghalehbala, Mohammadjavad Rezaei‐Varmaziar, Majid Taati, Ali Soleimanzadeh, Abbas Raisi, Farshid Davoodi, Amir Ali Shahbazfar   +6 more
wiley   +1 more source

Complexity, Governance and Networks: Introduction to the Inaugural Issue

, 2014
From the introduction: 1. Yet Another Journal? Why is it necessary to publish a new journal about complexity, governance, and networks? There has been an increasing interest in complexity, governance, and network studies in recent decades.
Morçöl, Göktuğ, Gerrits, Lasse, Teisman, Geert   +2 more
core   +1 more source

Early synovial regulatory T cell engagement in posttraumatic osteoarthritis

Arthritis &Rheumatology, Accepted Article.
Objective Posttraumatic osteoarthritis (PTOA) develops despite restoration of joint biomechanics, suggesting that early post‐injury biological processes within the synovium shape disease trajectories. We investigated whether synovial regulatory T (Treg) cells are engaged during the early phase following joint injury and whether experimental enrichment ...
Xueyou Zhang, Mingde Cao, Jianting Li, Bruma Sai‐Chuen Fu, Michael Tim‐Yun Ong, Patrick Shu‐Hang Yung   +5 more
wiley   +1 more source

Algorithmic Cross-Complexity and Relative Complexity [PDF]

, 2009
Information content and compression are tightly related concepts that can be addressed by classical and algorithmic information theory. Several entities in the latter have been defined relying upon notions of the former, such as entropy and mutual ...
Mihai Datcu, Daniele Cerra, Cerra, Daniele, Datcu, Mihai   +3 more
core   +1 more source