Results 171 to 180 of about 93,854 (214)
Advanced Science, EarlyView.A dynamic Ag+─S coordinated hydrogel with a sulfur–oxygen competitive coordination allosteric switch enables reversible tuning between soft–adhesive and stiff–robust states. Integrated with a lightweight 1DCNN classifier, the smart glove system achieves 99.70% laboratory and 93.35% real‐wear material recognition accuracy, offering a paradigm for self ...
Shixia Lan +4 more
wiley +1 more source
Advanced Science, EarlyView.By exploiting multiscale hydrogen‐bonding interactions between HFPD and TOCNF, the composite simultaneously achieves a high piezoelectric coefficient (14.0 pC·N−1), outstanding flexibility (100 000 bending cycles), water‐assisted recyclability, excellent biodegradability, and sensitive wearable/implantable sensing for motion, speech, and Morse code ...
Tingshuai Luo +9 more
wiley +1 more source
Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution
Advanced Science, EarlyView.MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge +6 more
wiley +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
A Dual‐Programmable 2M NOR Flash Architecture for Energy‐Efficient In‐Memory Computing
Advanced Science, EarlyView.In conventional NOR Flash, the access transistor occupies area but stores no information. Here, it is repurposed as a programmable second memory device that plays two functional roles: an analog memory element that lowers the minimum read current from 72.7 nA to 4.22 pA, and a current‐path gating element enabling true‐off pruning and current‐range ...
Suhan Kim +4 more
wiley +1 more source
Advanced Science, EarlyView.Inspired by the sophisticated multilayer retinal architecture found in Pacific salmon eyes, a novel van der Waals heterojunction sensor based on NbNiTe5/BP is designed. Upon illumination at distinct wavelengths of 365 and 820 nm, the device exhibits distinctive bipolar photocurrent responses with opposite polarities. This unique optoelectronic behavior
Tianle Zeng +18 more
wiley +1 more source
Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery
Advanced Science, EarlyView.DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong +8 more
wiley +1 more source
qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness
Advanced Science, EarlyView.In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang +3 more
wiley +1 more source
PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
Advanced Science, EarlyView.PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
Advanced Science, EarlyView.This study developed ECOS‐Net, a transformer‐based multitask framework integrating CT‐derived habitat and 2.5D deep learning features to simultaneously predict early disease control and overall survival in hepatocellular carcinoma patients treated with immune checkpoint inhibitors.
Xiaona Fu +23 more
wiley +1 more source