Results 101 to 110 of about 29,264 (279)

Noncommutative Supergeometry and Quantum Supergroups [PDF]

, 2015
This is a review of concepts of noncommutative supergeometry - namely Hilbert superspace, C*-superalgebra, quantum supergroup - and corresponding results.
Marcillaud de Goursac, Axel, 30th International Colloquium on Group Theoretical Methods in Physics   +1 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Study of Electron Transfer Process Between Fullerenes and Membrane Cells of E-coli in Presence of Dihydrostreptomycin in NaCl and Sucrose Medias

International Journal of Electrochemical Science, 2015
The electrical potential difference on the Escherichia coli membrane was utilized for theoretical study of electron transfer (ET) process between fullerenes and the membrane cells of Escherichia coli bacteria.
Narges Zolfaghar-Kerahroudi, Avat (Arman) Taherpour   +1 more
doaj   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source

Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis

Neurobiology of Disease
Aims: This study investigates large-scale brain network alterations in cerebral amyloid angiopathy (CAA) using structural covariance network (SCN) analysis and graph theory based on 7 T MRI.
Yijun Lin, Bin Gao, Yang Du, Mengyao Li, Yanfang Liu, Xingquan Zhao   +5 more
doaj   +1 more source

Brain functional connectivity in sleep-related hypermotor epilepsy

NeuroImage: Clinical, 2018
Objectives: To evaluate functional connectivity (FC) in patients with sleep-related hypermotor epilepsy (SHE) compared to healthy controls. Methods: Resting state fMRI was performed in 13 patients with a clinical diagnosis of SHE (age=38.3±11.8years, 6M)
Stefania Evangelisti, Claudia Testa, Lorenzo Ferri, Laura Ludovica Gramegna, David Neil Manners, Giovanni Rizzo, Daniel Remondini, Gastone Castellani, Ilaria Naldi, Francesca Bisulli, Caterina Tonon, Paolo Tinuper, Raffaele Lodi   +12 more
doaj   +1 more source

Electroacupuncture Improves the Learning and Memory by Modulating Hippocampal Glucose Metabolism through IGF1/IGF1R Signaling in Alzheimer's Disease

Advanced Science, EarlyView.
Electroacupuncture (EA) ameliorates learning and memory function in 5×FAD mice by regulating the brain glucose metabolic network. This neuroprotective effect is closely related to enhancing neuronal energy utilization via the IGF1/IGF1R signaling pathway.
Shengxiang Liang, Qingqing Zhang, Xiuxiu Wang, Lixin Peng, Xinru Ji, Jiawei Wang, Yusi Zhang, Jiayang Huang, Junchao Yang, Shiqi Zhan, Yiping Xiao, Weilin Liu, Lidian Chen   +12 more
wiley   +1 more source

Neutrosophic Sets and Systems [PDF]

, 2013
Neutrosophic Sets and Systems has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as ...
Smarandache, Florentin (Editor-in-Chief)
core   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Computational Results in Topological Graph Theory [PDF]

, 1997
Full text is available to authenticated members of The University of Auckland only.This thesis details the use of computational methods to find solutions to and develop theory about three problems in topological graph theory Firstly we compute the ...
Pearson, John
core