Results 41 to 50 of about 8,171 (265)

Design and analysis of switched reluctance motor with FEM based Ansys-Maxwell

open access: yesMANAS: Journal of Engineering, 2022
In this study, radial forces that create noise, which is a fundamental problem in Switched Reluctance Motor (SRM), are investigated. Since radial force causes stator vibrations and noise caused by magnetic field, a new switched reluctance motor model ...
Yıldırım Özüpak
doaj   +1 more source

Machine Learning‐Informed Nano Co‐Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue

open access: yesAdvanced Materials, EarlyView.
We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu   +15 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

Switched reluctance motor flux linkage characteristic: experimental approach

open access: yesНаучно-технический вестник информационных технологий, механики и оптики
Currently, switched reluctance motors are considered the most promising type of electromechanical energy converter without permanent magnets, especially for operations at sub-nominal speeds.
A. M. Yaremenko   +5 more
doaj   +1 more source

Metamodels for Optimum Design of Outer-Rotor Synchronous Reluctance Motor

open access: yesElectrical, Control and Communication Engineering, 2014
A new design of synchronous reluctance motor with segment-shaped outer rotor is presented and investigated in this paper. In order to obtain correct recommendations for optimal design of the studied synchronous reluctance motor, analytical relations of ...
Lavrinovicha Ludmila   +2 more
doaj   +1 more source

Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory

open access: yesAdvances in Electrical and Computer Engineering, 2020
This paper proposes an adaptive flux observer for a sensorless switched reluctance motor. The observer adaptive gains are designed using the Lyapunov theory to guarantee both the accuracy and stability of the sensorless control of a switched reluctance
ABDELMAKSOUD, H., ZAKY, M.
doaj   +1 more source

Microglial GPR35 Ameliorates Epileptogenesis and Neuroinflammation via PDGFA Domain 2 Signaling

open access: yesAdvanced Science, EarlyView.
Activation of microglial G protein–coupled receptor 35 (GPR35) by L‐kynurenic acid (L‐Kyna) initiates a platelet‐derived growth factor A (PDGFA)–dependent phosphoinositide 3‐kinase–protein kinase B (PI3K–AKT) signaling cascade that dampens hippocampal neuroinflammation, thereby restraining epileptogenesis, lowering seizure susceptibility, and ...
Qi Wang   +17 more
wiley   +1 more source

‘Semipole’ reluctance motors

open access: yesElectronics Letters, 1968
A novel mode of operation of a reluctance motor is described. The motor combines the advantageous feature of a one-piece lamination, usual with conventional salient-pole designs, and an improved synchronous performance approaching that of the newer segmented-rotor designs. Pull-in performance is good, particularly with high inertias.
openaire   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Design and Analysis of a Novel Bearingless Segmented Switched Reluctance Motor

open access: yesIEEE Access, 2019
A novel bearingless segmented switched reluctance motor (BSSRM) is proposed in this paper to solve the coupling problem of the traditional bearingless switched reluctance motor (BSRM).
Yonghong Huang   +4 more
doaj   +1 more source

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