Results 91 to 100 of about 141,062 (268)
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou +4 more
wiley +1 more source
A Review of Knowledge Distillation Technology from an Intellectual Property Law Perspective
The emergence of the innovative AI model DeepSeek, a low-cost and high-efficiency model, is having a significant impact on the global AI industry. By utilizing technologies such as the Mixture of Experts, FP8, and Knowledge Distillation, DeepSeek has ...
Myoungseob Mun
doaj +1 more source
This work pioneers melt electrowriting (MEW) of polyethylene vinyl acetate (PEVA) to fabricate ultra‐compliant, high‐resolution scaffolds. By integrating microscale precision with soft tissue‐like biomechanics, PEVA overcomes stiffness‐driven limitations of conventional MEW polymers, establishing a mechanically biomimetic platform for soft tissue ...
Finn Snow +9 more
wiley +1 more source
Over half of cancer patients undergo radiotherapy. Laser ablation enabled the synthesis of immiscible Au‐Fe‐B nanoparticles designed as degradable bimodal radiosensitizers for X‐ray radiotherapy (XRT), boron neutron capture therapy (BNCT), and bimodal imaging for X‐ray computed tomography (CT) and magnetic resonance imaging (MRI). These nanosensitizers
Michael Bissoli +15 more
wiley +1 more source
A survey on knowledge distillation: Recent advancements
Deep learning has achieved notable success across academia, medicine, and industry. Its ability to identify complex patterns in large-scale data and to manage millions of parameters has made it highly advantageous. However, deploying deep learning models
Amir Moslemi +3 more
doaj +1 more source
This study presents the first entirely isogenic heart‐on‐chip, unifying cardiomyocytes, fibroblasts, and endothelial cells from a single iPSC source. The platform reveals a critical biological insight: the endothelium actively shields cardiac tissue from drug‐induced toxicity, challenging the predictive accuracy of conventional, avascular models for ...
Karine Tadevosyan +12 more
wiley +1 more source
This study developed a bioprinted co‐culture system embedding rat pancreatic islets and Scenedesmus sp. microalgae spatially defined in close vicinity. Red light was found optimal to ensure microalgal photosynthesis while maintaining islet viability and functionality. A tailored co‐culture medium supported both cell types.
Finn Dani +7 more
wiley +1 more source
Leveraging logit uncertainty for better knowledge distillation
Knowledge distillation improves student model performance. However, using a larger teacher model does not necessarily result in better distillation gains due to significant architecture and output gaps with smaller student networks. To address this issue,
Zhen Guo +3 more
doaj +1 more source
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil +14 more
wiley +1 more source
Label‐Free SERS Fingerprinting of Neuroprotein Conformational Dynamics in Human Saliva
Galvanic molecular entrapment (GME) is a label‐free method for detecting and quantifying neuroprotein conformational states. This technique enables direct surface binding and in situ hotspot generation around molecules, effectively overcoming challenges related to target localization and mismatched hotspot geometries.
Muhammad Shalahuddin Al Ja'farawy +10 more
wiley +1 more source

