Results 101 to 110 of about 33,441 (257)

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

open access: yesAdvanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen   +9 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

CGMNet: Semantic Change Detection via a Change-Aware Guided Multi-Task Network

open access: yesRemote Sensing
Change detection (CD) is the main task in the remote sensing field. Binary change detection (BCD), which only focuses on the region of change, cannot meet current needs.
Li Tan, Xiaolong Zuo, Xi Cheng
doaj   +1 more source

The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models

open access: yesAdvanced Science, EarlyView.
Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková   +5 more
wiley   +1 more source

Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU). The “from-to” information of the acquired image has more profound practical significance than Binary Change ...
Yuhang Zhang   +4 more
doaj   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

open access: yesAdvanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini   +8 more
wiley   +1 more source

Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing image change detection plays an important role in urban planning and environmental monitoring. However, the existing change detection algorithms have limited ability in feature extraction, feature relationship understanding, and capture of
Hongjin Ren   +4 more
doaj   +1 more source

Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases

open access: yesAdvanced Science, EarlyView.
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao   +5 more
wiley   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

open access: yesAdvanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen   +10 more
wiley   +1 more source

Change Detection Network Based on Transformer and Transfer Learning

open access: yesIEEE Access
The purpose of the change detection(CD) task is to contrast the change information of a specific object in remote sensing images from different time periods. The deep-learning-based change-detection algorithm can extract pixel-level semantic segmentation
Hua Li   +5 more
doaj   +1 more source

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