Results 181 to 190 of about 324,009 (309)

Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel

open access: yesAdvanced Science, EarlyView.
A skin‐inspired self‐powered multimodal fingertip receptor that integrates thermogalvanic hydrogels as active mechanoreceptors and thermoreceptors is proposed. By exploiting dynamic‐static thermovoltage of the hydrogel to visualize the unsteady interfacial heat conduction, different materials can be determined in 80 ms.
Ning Li   +6 more
wiley   +1 more source

SGCD: High‐Resolution Spatial Domain Characterization via Data Interpolation and Cell‐Type Deconvolution

open access: yesAdvanced Science, EarlyView.
SGCD presents a novel approach for tissue spatial domain identification by employing interpolation to estimate inter‐spot gene expression and deconvolution to resolve cell‐type composition in both sampled and interstitial regions. By integrating gene expression, cell type, and spatial coordinates within a graph contrastive learning framework, SGCD ...
Tianjiao Zhang   +7 more
wiley   +1 more source

Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next‐Generation Intelligence

open access: yesAdvanced Science, EarlyView.
Soft robotics, featuring intrinsic compliance and biomimetic adaptability, emerges as transformative in next‐generation intelligent systems. This review outlines how advancements in four foundational domains—actuation, materials, manufacturing, and control—drive the evolution of bioinspired intelligent soft robotics, poised to redefine the boundaries ...
Xiaopeng Wang   +7 more
wiley   +1 more source

Human Activity Recognition Using a Single Wrist IMU Sensor via Deep Learning Convolutional and Recurrent Neural Nets [PDF]

open access: gold, 2017
Edwin Valarezo Añazco   +7 more
openalex   +1 more source

Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction Prediction

open access: yesAdvanced Science, EarlyView.
Predicting unseen drug‐target interactions is challenging. BioBridge presents an Inductive‐Associative pipeline inspired by scientists' workflow. It combines transferable binding principles, learned via multi‐level encoders and adversarial training, with insights from weakly related references through meta‐learning.
Xiaoqing Lian   +11 more
wiley   +1 more source

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

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