Confinement by nanoscale covalent organic frameworks reinforces hydrogels, imparting exceptional mechanical strength and ionic conductivity for high‐performance electrolyte applications. ABSTRACT Hydrogels are widely applied in various fields, including energy storage and flexible electronics. However, their mechanical properties often fail to meet the
Peiyao Yan +15 more
wiley +1 more source
Letter to the editor: Re-examining the role of deep learning in cyber forensics: Practical gaps beyond conceptual frameworks. [PDF]
Harihar SA, Kurhade AS, Waware SY.
europepmc +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
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
Spectral Demodulation of Mixed-Linewidth FBG Sensor Networks Using Cloud-Based Deep Learning for Land Monitoring. [PDF]
Arockiyadoss MA +6 more
europepmc +1 more source
Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang +15 more
wiley +1 more source
Research on cloud-edge-end distributed collaborative computing based on deep reinforcement learning. [PDF]
Wu C +5 more
europepmc +1 more source
MetalCenter‐Dependent Selectivity Divergence in MN4 Single‐Atom Catalysts for Aerobic HMF Oxidation
Two single‐atom catalysts with M‐N4 configurations (FeN4 and CoN4) were developed for selective HMF oxidation. FeN4 achieves 93.9% selectivity toward FFCA via superoxide anions (O2•−), while CoN4 preferentially produces FDCA through hydroxyl radicals (•OH). DFT calculations reveal that distinct adsorption energies and charge redistribution at the metal
Haoyu Wang +6 more
wiley +1 more source
Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning. [PDF]
Grundner A +5 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A cloud-based multi-criteria decision-making framework for green-resilient supplier selection of manufacturing industry. [PDF]
Yang J, Geng X, Zhang Y.
europepmc +1 more source

