Results 151 to 160 of about 68,408 (266)

Load balancing for cloud computing using optimized cluster based federated learning. [PDF]

Sci Rep
Chennam KK, V UM, Aluvalu R, Chinthaginjala R, Ab Wahab MN, Zhao X, Tolba A.   +6 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF.

Int J Appl Earth Obs Geoinf
Zhang Y, Reyes-Muñoz P, Verrelst J.
europepmc   +1 more source

Federated learning-based trust and energy-aware routing in Fog-Cloud computing environments for the Internet of Things. [PDF]

Sci Rep
Wang F, Wang K.
europepmc   +1 more source

Bridged h‐BN Nanosheets Coatings: Simultaneous Shielding Atomic‐Oxygen Irradiation and Achieving Superior Friction Performance

Advanced Science, EarlyView.
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li, Changning Bai, Xingkai Zhang, Yusheng Liang, Wei Wu, Dingrui Zhou, Tao Du, Chunjin Wang   +7 more
wiley   +1 more source

Comparative evaluation of a deep learning method QNet and LCModel for MRS quantification on the cloud computing platform CloudBrain-MRS. [PDF]

BMC Med Imaging
Lin M, Guo L, Chen D, Chen J, Tu Z, Huang X, Wang J, Qi J, Long Y, Huang Z, Guo D, Qu X, Han H.   +12 more
europepmc   +1 more source

HLA‐DR+ Schwann Cells Generate the Protumor Cancer‐Neuron‐Immune Niche in Head and Neck Squamous Cell Carcinoma

Advanced Science, EarlyView.
Hijacked and educated by HNSCC cells, HLA‐DR+ Schwann cells lost their normal neural‐related functions but acquired immunoregulatory phenotypes to promote CD4+ T cells transform into Tregs. HLA‐DR+ Schwann cells induced a macrophage subpopulation, Il1β.
Xiaoyan Meng, Zhonglong Liu, Shijian Zhang, Luoman Gan, Liren Cao, Jingjing Sun, Lingfang Zhang, Yue He   +7 more
wiley   +1 more source

A bi-level mobility-aware deep reinforcement learning approach for fault-tolerant task offloading in vehicular edge-cloud computing. [PDF]

Sci Rep
Babaiyan V, Bushehrian O, Javidan R.
europepmc   +1 more source

CD31+ Cell Enrichment Enhances Therapeutic Effects of Stromal Vascular Fraction in Experimental Primary Osteoarthritis: A Preclinical Study in the Dunkin Hartley Guinea Pig Model

Advanced Science, EarlyView.
Both SVF and CD31+ SVF improve spontaneous osteoarthritis, but CD31+ enrichment refines the therapeutic profile rather than broadly enhancing all effects. More distinct benefits are observed in extracellular matrix remodeling, osteochondral integrity, and subchondral/trabecular bone preservation, supporting CD31+‐enriched SVF as a biologically enhanced
Sijia Zhou, Tobias Winkler, Bin Chen, Marta Grzeski, Yilong Yang, Florian N. Fleckenstein, Dominik Geisel, Alexander Hildebrandt, Daniela Aschenbrenner, Marie Agatha Mohn, Benjamin Claass, January Weiner 3rd, Sven Geissler, Georg N. Duda, Søren P. Sheikh, Oliver Klein, Tazio Maleitzke   +16 more
wiley   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source