Results 191 to 200 of about 493,090 (289)
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He +6 more
wiley +1 more source
Blended clustering energy efficient routing and PUF based authentication in IoT enabled smart agriculture systems. [PDF]
Chandrasekaran SK, Rajasekaran VA.
europepmc +1 more source
KPPepGen is a knowledge‐aware prompt diffusion model for the controllable generation of pathogen‐specific AMPs. It outperforms existing methods and is capable of simultaneously generating peptides for distinct pathogens, demonstrating superior performance with favorable properties and docking efficacy.
Yongkang Wang +4 more
wiley +1 more source
Experimental demonstration of integrated encryption and communication over optical fiber. [PDF]
Niu Z +10 more
europepmc +1 more source
Plasma proteomics is leveraged to decode the biological underpinnings of chronic widespread pain. A nested machine learning framework integrates proteomic signatures, prospective outcomes, and Mendelian randomization to uncover 18 causal proteins.
Li Chen +16 more
wiley +1 more source
Cross-Layer Analysis of Machine Learning Models for Secure and Energy-Efficient IoT Networks. [PDF]
Mustafa R +4 more
europepmc +1 more source
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
Smart Grid IoT Framework for Predicting Energy Consumption Using Federated Learning Homomorphic Encryption. [PDF]
Jerkovic F, Sarkar NI, Ali J.
europepmc +1 more source
This study presents a refined adaptive laboratory evolution (ALE) strategy to resolve the trade‐off between tolerance and biosynthetic efficiency in toxic chemical production. Combining in vivo mutagenesis, microdroplet‐based evolution, and biosensor‐assisted selection, this strategy rapidly yields robust “win‐win” phenotypes.
Yufei Zhang +7 more
wiley +1 more source
DNA-Inspired Lightweight Cryptographic Algorithm for Secure and Efficient Image Encryption. [PDF]
Abdelaal MA +5 more
europepmc +1 more source

