Results 141 to 150 of about 4,930,132 (374)
Patient‐derived cardiac organoids reveal key features of Duchenne muscular dystrophy cardiomyopathy, including apoptosis, oxidative stress, calcium handling defects, and mechanical remodeling. By integrating organoids into alginate–gelatin bioprinted constructs, disease phenotypes are organized into scalable 3D cardiac tissues displaying extracellular ...
Vittoria Marini +15 more
wiley +1 more source
With the development of deep learning and sensors and sensor collection methods, computer vision inspection technology has developed rapidly.
Jiuyang Gao +4 more
doaj +1 more source
EM-Network: Oracle Guided Self-distillation for Sequence Learning
We introduce EM-Network, a novel self-distillation approach that effectively leverages target information for supervised sequence-to-sequence (seq2seq) learning.
Ahn, Sunghwan +5 more
core
Organelle localization‐induced biorthogonal polymerization enables direct synthesis of photostable poly‐AIEgens within targeted organelles for super‐resolution live‐cell imaging. ABSTRACT Real‐time monitoring of dynamic biological processes demands fluorescent probes that can withstand prolonged light exposure without photobleaching—a critical ...
Gaeun Park +4 more
wiley +1 more source
This study presents a novel, computationally efficient training framework demonstrated through bio-signal processing on edge medical devices. The approach integrates conventional full training with an innovative µ -Training technique, wherein the encoder
Zhaojing Huang +3 more
doaj +1 more source
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
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation
Recommendation systems rely on historical clicks to learn user interests and provide appropriate items. However, current studies tend to treat clicks equally, which may ignore the assorted intensities of user interests in different clicks. In this paper,
Lin, Leyu +4 more
core
Percutaneous prosthetic venous valves are fabricated by embedding stents in an electrospun matrix that extends luminally to form leaflets. The design shields leaflets from hyperplastic cells, isolates struts from blood contact, and avoids discrete anchoring points.
Dario Arcuti +6 more
wiley +1 more source
Self Distillation via Iterative Constructive Perturbations
Deep Neural Networks have achieved remarkable achievements across various domains, however balancing performance and generalization still remains a challenge while training these networks. In this paper, we propose a novel framework that uses a cyclic optimization strategy to concurrently optimize the model and its input data for better training ...
Dave, Maheak +5 more
openaire +2 more sources
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

