Results 101 to 110 of about 748,201 (294)

Temperature‐Modulated Threshold Response in a Volatile Memristor: Toward a Biomimetic Polymodal Nociceptive System

Advanced Functional Materials, EarlyView.
This study demonstrates an artificial polymodal nociceptor whose firing threshold is actively modulated by temperature. A volatile TiN/TiOx/ZnO/TiOx/ITO memristor shows interfacial ion–driven resistive switching and membrane‐potential‐like dynamics, enabling temperature‐dependent nociceptive behavior.
Chanmin Hwang, Yuseong Jang, Myoungsu Chae, Hee‐Dong Kim   +3 more
wiley   +1 more source

Alzheimer’s disease diagnosis by 3D-SEConvNeXt

Journal of Big Data
Alzheimer’s disease (AD) constitutes a fatal neurodegenerative disorder and represents the most prevalent form of dementia among the elderly population.
Zhongyi Hu, Yuhang Wang, Lei Xiao
doaj   +1 more source

From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications

BioMedInformatics
Artificial intelligence (AI), a branch of computer science, involves developing intelligent computer programs to mimic human intelligence and automate various processes [...]
M. Michael Gromiha, Palanisamy Preethi, Medha Pandey   +2 more
doaj   +1 more source

Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s

Advanced Functional Materials, EarlyView.
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu, Xiaofeng Zheng, Shaoxia Zhang, Long Xu, Meng Liu, Jeremy Baribeault St‐Germain, Yue Zhao   +6 more
wiley   +1 more source

Federated two-stage decoupling with adaptive personalization layers

Complex & Intelligent Systems
Federated learning has gained significant attention due to its groundbreaking ability to enable distributed learning while maintaining privacy constraints.
Hangyu Zhu, Yuxiang Fan, Zhenping Xie
doaj   +1 more source

In Situ 3D Bioprinting: Impact of Cross‐Linking on the Adhesive Properties of Hydrogels

Advanced Functional Materials, EarlyView.
In situ 3D bioprinting enables the direct deposition of cell‐laden, adhesive biomaterials for on‐site tissue regeneration. This review provides a comprehensive overview of how cross‐linking influences the bioadhesive properties of hydrogels used in 3D bioprinting, highlighting cross‐linking triggers, bioadhesion mechanisms, polymer interpenetration ...
Odile Romero Fernandez, Mulazim Hussain Asim, Shumaila Arshad, Gergely Kali, Andreas Bernkop‐Schnürch   +4 more
wiley   +1 more source

KEGG orthology prediction of bacterial proteins using natural language processing

BMC Bioinformatics
Background The advent of high-throughput technologies has led to an exponential increase in uncharacterized bacterial protein sequences, surpassing the capacity of manual curation. A large number of bacterial protein sequences remain unannotated by Kyoto
Jing Chen, Haoyu Wu, Ning Wang
doaj   +1 more source

Anomalous Pressure‐Temperature Ultrahigh Sensitivities in Atomically Engineered Carbonitride MXenes for Multifunctional Wearable Human–Machine Interfaces: Joint Computational–Experimental Elucidations

Advanced Functional Materials, EarlyView.
Atomically engineered layered 2D Ti3CNTz carbonitride MXene exhibits ultrahigh heat and pressure sensitivity, enabling dual‐mode sensors with 300%–400% performance enhancement and durability for real‐time health‐monitoring interface devices. Precise nitrogen incorporation (e.g., Ti3C1.8N0.2Tz) boosts conductivity, enhancing temperature response, while ...
Debananda Mohapatra, Ju‐Hyoung Han, Hyun Jin Kang, Jeong Eun Byun, Seonghun Lee, Sanghyuk Lee, Yeseul Son, Jaeeun Park, Tae Joo Shin, Youngho Kang, Jung Woo Lee, Soon‐Yong Kwon, Soo‐Hyun Kim   +12 more
wiley   +1 more source

Privacy attack in federated learning is not easy: an experimental study

Complex & Intelligent Systems
Federated learning (FL) is an emerging distributed machine learning paradigm proposed for privacy preservation. Unlike traditional centralized learning approaches, FL enables multiple users to collaboratively train a shared global model without ...
Hangyu Zhu, Liyuan Huang, Zhenping Xie
doaj   +1 more source

Artificial Intelligence and Computational Science

, 2022
Repin, Sergey, Neittaanmäki, Pekka
openaire   +1 more source