Results 141 to 150 of about 4,874,334 (273)

Printing‐Assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling

open access: yesAdvanced Science, EarlyView.
Extrusion‐based 3D printing of silicones and discrete electronic components are combined to create cortical implants for rodents that integrate thermal neuromodulation and electrical recording. Linked to an autonomous auxiliary driver unit, the system enables rapid, stable and localized hypothermia alongside ECoG recording.
Spencer Ryan Moore   +6 more
wiley   +1 more source

Topological Quantum Biomaterials Enable Pyroptosis‐Senescence Coupling for Enhanced Colorectal Cancer Therapy

open access: yesAdvanced Science, EarlyView.
This work reports conceptually unprecedented topological quantum biomaterials derived from engineered Pd3Sn nanostrips for oncological applications. Their near‐Fermi‐level electronic architecture and superior interfacial charge transport facilitate ultrasound‐amplified redox reactions and efficient ROS generation.
Zilu Chen   +10 more
wiley   +1 more source

Targeted‐Penetrating Biomimetic Hybrid Transfersomes for Enhanced Transdermal Gene Transfection in Hypertrophic Scar Therapy

open access: yesAdvanced Science, EarlyView.
Hypertrophic scar fibroblasts membrane‐hybridized cationic transfersomes enable efficient loading and transdermal delivery of TGF‐β1 siRNA through multiple skin penetration pathways. The biomimetic platform enhances homotypic targeting, transfection, and immune evasion, suppresses TGF‐β1‐driven fibrotic signaling, and reduces extracellular matrix ...
Hui Xing   +9 more
wiley   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

open access: yesAdvanced 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

Dynamic Spectrum Access and Resource Allocation

open access: yes
Report describing dynamic spectrum access and resource allocation for cognitive MAC ...
openaire   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

open access: yesAdvanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei   +3 more
wiley   +1 more source

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