Results 161 to 170 of about 28,952 (292)

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

Advanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan, Yechuan Deng, Zixin Hu, Yanwei He, Xinting Feng, Jun Ma, Yisheng Chen, Zhijie Zhao, Jie Mei, Zhiheng Lin, Wei Luo, Zhengyuan Fang, Zhufeng Hu, Kunlun Feng, Xinrong Li, Dan Wu, Bowen Han, James Hoi po Hui, Xuanyong Liu, Chen Chen, Gang Chen, Shiyi Chen, Nirong Bao, Jiajun Qiu, Zhiwen Luo   +24 more
wiley   +1 more source

Non-Iterative Phase-Only Hologram Generation via Stochastic Gradient Descent Optimization

Photonics
In this work, we explored, for the first time, to the best of our knowledge, the potential of stochastic gradient descent (SGD) to optimize random phase functions for application in non-iterative phase-only hologram generation.
Alejandro Velez-Zea, John Fredy Barrera-Ramírez   +1 more
doaj   +1 more source

Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC). [PDF]

PeerJ Comput Sci, 2021
Gaye B, Zhang D, Wulamu A.
europepmc   +1 more source

Gradient Descent, Stochastic Optimization, and Other Tales

The goal of this paper is to debunk and dispel the magic behind black-box optimizers and stochastic optimizers. It aims to build a solid foundation on how and why the techniques work.
Lu, Jun
core  

Multimodal Imaging Reveals Rapid Catecholamine Uptake and Release by Neutrophils

Advanced Science, EarlyView.
We show that immune cells (neutrophils) synthesize, uptake, and store catecholamine neurotransmitters such as dopamine or adrenaline. They also release them in response to specific stimuli (serotonin), which we directly visualize using fluorescent nanosensors. We further demonstrate that catecholamines affect neutrophil functions (NETosis) and platelet
Jennifer Mohr, Anne Schmitz, Meshkat Dinarvand, Franziska Wulfert, Sangeetha Shankar, Bjoern F. Hill, Michael Wojak, Juliana Gretz, Marie Britz, Elsa Neubert, Magdalena Shumanska, Sofia Kaushik, Linda Kartaschew, Ivan Bogeski, James Daniel, Sebastian Jung, Johannes Eble, Guido Wabnitz, Luise Erpenbeck, Sebastian Kruss   +19 more
wiley   +1 more source

An Improved Reacceleration Optimization Algorithm Based on the Momentum Method for Image Recognition

Mathematics
The optimization algorithm plays a crucial role in image recognition by neural networks. However, it is challenging to accelerate the model’s convergence and maintain high precision.
Haijing Sun, Ying Cai, Ran Tao, Yichuan Shao, Lei Xing, Can Zhang, Qian Zhao   +6 more
doaj   +1 more source

Theoretical Analysis of Stochastic Gradient Descent in Stochastic Optimization

, 2021
Stochastic Gradient Descent (SGD) type algorithms have been widely applied to many stochastic optimization problems, such as machine learning. Despite its empirical success, there is still a lack of theoretical understanding of convergence properties of ...
Liu, Tianyi
core  

Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2

Advanced Science, EarlyView.
Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu, Jingbo Bai, Yali Yang, Shifeng Qian, Xiaotian Wang, Zhuhong Liu   +5 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source