Results 211 to 220 of about 491,707 (327)

MGPT: A Multi‐task Graph Prompt Learning Framework for Drug Discovery

open access: yesAdvanced Science, EarlyView.
MGPT is a unified multi‐task graph prompt learning model providing generalizable and robust graph representations for few‐shot drug association prediction. MGPT demonstrates the ability of seamless task switching and outperforms competitive approaches in few‐shot scenarios.
Yang Li   +4 more
wiley   +1 more source

3D Hyperbolic Kirigami Metamaterials With Tunable Auxeticity and Multistability

open access: yesAdvanced Science, EarlyView.
This study proposes a hyperbolic tessellation‐based structure that integrates TPMSs (Triply Periodic Minimal Surfaces, including SP: Schwarz Primitive, SD: Schwarz Diamond, and GY: Gyroid) with rotating rigid polygons, which enables 3D scalable deformation. The structure exhibits auxeticity and multistability, with a maximum volume expansion rate of up
Yu Lei   +7 more
wiley   +1 more source

Towards Nonlinearity: The <i>p</i>-Regularity Theory. [PDF]

open access: yesEntropy (Basel)
Bednarczuk E   +4 more
europepmc   +1 more source

Programmable DNA‐Based Molecular Neural Network Biocomputing Circuits for Solving Partial Differential Equations

open access: yesAdvanced Science, EarlyView.
This research introduces an augmented matrix‐based DNA molecular neural network to achieve molecular‐level solving of biological Brusselator PDEs. Crucial innovations include: (i) an augmented matrix‐based DNA molecular neural network, enabling multidimensional parameter integration through DNA strand displacement cascades and iterative weight ...
Yijun Xiao   +5 more
wiley   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

open access: yesAdvanced Science, EarlyView.
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

Protein Spatial Structure Meets Artificial Intelligence: Revolutionizing Drug Synergy–Antagonism in Precision Medicine

open access: yesAdvanced Science, EarlyView.
This review comprehensively examines the applications of protein three‐dimensional structures and artificial intelligence in investigating drug synergistic and antagonistic effects. The research findings provide compelling evidence for the precision treatment of cancer and metabolic diseases, thereby promoting the development of personalized medicine ...
Anqi Lin   +11 more
wiley   +1 more source

Targeting ROCK2 to Restore Epileptic Synaptic Networks via Mitophagy Activation: Insights from Translational Imaging of SV2A In Vivo

open access: yesAdvanced Science, EarlyView.
By integrating synaptic vesicle glycoprotein 2A PET imaging and transcriptomics, this study identifies Rho‐associated protein kinase 2 (ROCK2) as a critical regulator of synaptic network dysfunction in temporal lobe epilepsy. Pharmacological ROCK2 inhibition restores synaptic density and enhances mitophagy, thereby reducing seizures and neuronal damage.
Ling Xiao   +14 more
wiley   +1 more source

Home - About - Disclaimer - Privacy