Results 81 to 90 of about 32,202 (267)

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

Advanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source

Document Image Binarization with Fully Convolutional Neural Networks

, 2017
Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification learning task and apply a novel Fully Convolutional Network (FCN ...
Martinez, Tony, Tensmeyer, Chris
core   +1 more source

Allosteric Modulation of Pathological Ataxin‐3 Aggregation: A Path to Spinocerebellar Ataxia Type‐3 Therapies

Advanced Science, EarlyView.
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva, Sara Duarte‐Silva, Pedro M. Martins, Beatriz Rodrigues, Débora Serrenho, Daniela Vilasboas‐Campos, Andreia Teixeira‐Castro, Julio Vieyto‐Nuñez, Joel Mieres‐Perez, Francisco Figueiredo, Martyna Podlasiak, Tatiana Van‐der‐Kellen, Joana Fraga, James Noble, Carter Lantz, Niki Sepanj, Daniela Monteiro‐Fernandes, Sara Guerreiro, Andreia Neves‐Carvalho, Joana Pereira‐Sousa, Frank‐Gerrit Klärner, Thomas Schrader, Joseph A. Loo, Annalisa Pastore, Elsa Sanchez‐Garcia, Gal Bitan, Ana Luísa Carvalho, Patrícia Maciel, Sandra Macedo‐Ribeiro   +28 more
wiley   +1 more source

Integrated Transcriptomics Reveals Evolutionary Trajectories and Cell Density‐Dependent Mechanisms in Aldosterone‐Producing Adenomas

Advanced Science, EarlyView.
Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun, Changying Jing, Martina Tetti, Siyuan Gong, Jia Wei, Yingxian Pang, Martin Reincke, Tracy Ann Williams   +7 more
wiley   +1 more source

Fully Binarized Graph Convolutional Network Accelerator Based on In‐Memory Computing with Resistive Random‐Access Memory

Advanced Intelligent Systems
Artificial intelligence for graph‐structured data has achieved remarkable success in applications such as recommendation systems, social networks, drug discovery, and circuit annotation.
Woyu Zhang, Zhi Li, Xinyuan Zhang, Fei Wang, Shaocong Wang, Ning Lin, Yi Li, Jun Wang, Jinshan Yue, Chunmeng Dou, Xiaoxin Xu, Zhongrui Wang, Dashan Shang   +12 more
doaj   +1 more source

Binar Space Program: Binar-1 Results and Lessons Learned

, 2022
The Binar Space Program is a recently formed space research and education group part of the Space Science and Technology Center at Curtin University in Western Australia. Recently launching the first CubeSat from the state, Binar-1, the team is making steps towards creating a sustainable mission schedule for research and education.
Downey, Fergus, Buchan, Stuart, Hartig, Benjamin, Busan, Daniel, Cook, Jacob, Howie, Robert, Bland, Phil, Paxman, Jonathan   +7 more
openaire   +1 more source

Network Binarization via Contrastive Learning

, 2022
Neural network binarization accelerates deep models by quantizing their weights and activations into 1-bit. However, there is still a huge performance gap between Binary Neural Networks (BNNs) and their full-precision (FP) counterparts. As the quantization error caused by weights binarization has been reduced in earlier works, the activations ...
Shang, Yuzhang, Xu, Dan, Zong, Ziliang, Nie, Liqiang, Yan, Yan   +4 more
openaire   +2 more sources

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

Elektronika ir Elektrotechnika, 2018
In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and ...
Mehdi Khitas, Lahcene Ziet, Saad Bouguezel   +2 more
doaj   +1 more source

A Degradable Bioinspired Flier with Aerogel‐Based Colorimetric Sensors for Environmental Monitoring

Advanced Science, EarlyView.
Biodegradable fliers are developed inspired by Tipuana tipu samaras, integrating cellulose nanocrystal aerogel (CNCa) sensors loaded with natural dyes for pH and ammonia detection. The lightweight, degradable fliers mimic natural morphology and aerodynamics, offering an eco‐friendly, scalable solution for in situ environmental monitoring after passive ...
Gianpaolo Gallo, Ruowen Tu, Carlo Filippeschi, Stefano Mariani, Barbara Mazzolai   +4 more
wiley   +1 more source