Results 111 to 120 of about 1,131,580 (326)

Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids [PDF]

, 2019
Thiago Mota Soares, Ubiratan Holanda Bezerra, Maria Emília de Lima Tostes   +2 more
openalex   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Multi-Objective Ship Route Optimisation Using Estimation of Distribution Algorithm

Applied Sciences
The paper proposes an innovative adaptation of the estimation of distribution algorithm (EDA), intended for multi-objective optimisation of a ship’s route in a non-stationary environment (tidal waters).
Roman Dębski, Rafał Dreżewski
doaj   +1 more source

Scaling Up Estimation of Distribution Algorithms For Continuous Optimization [PDF]

, 2011
Weishan Dong, Tianshi Chen, Peter Tiňo, Xin Yao   +3 more
openalex   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Neuroinflammation in GAD65 Antibody‐Associated Epilepsy Measured Using [18F]DPA‐714 PET/MRI

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The timing for initiating immunotherapy in patients with glutamic acid decarboxylase 65 (GAD65) antibody‐associated epilepsy is a challenge. We used the translocator protein radioligand [18F]DPA‐714 and PET to evaluate brain microglial activation.
Jingjing Chen, Yuying Zhang, Heyu Zhang, Jinming Zhang, Ningning Wang, Xintong Guo, Yicong Liu, Yue Liu, Xiangsong Zhang, Ziyi Chen, Guanzhong Ni   +10 more
wiley   +1 more source

Distributed Consensus Multi-Distribution Filter for Heavy-Tailed Noise

Journal of Sensor and Actuator Networks
Distributed state estimation is one of the critical technologies in the field of target tracking, where the process noise and measurement noise may have a heavy-tailed distribution.
Guan-Nan Chang, Wen-Xing Fu, Tao Cui, Ling-Yun Song, Peng Dong   +4 more
doaj   +1 more source

From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms [PDF]

, 2022
Weijie Zheng, Benjamin Doerr
openalex   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

A Data-Driven State Estimation Based on Sample Migration for Low-Observable Distribution Networks

Algorithms
This paper proposes a data-driven state estimation based on sample migration for low-observable distribution networks, addressing the challenge of traditional state estimators being unsuitable for distribution networks with low observability.
Hao Jiao, Chen Wu, Lei Wei, Jinming Chen, Yang Xu, Manyun Huang   +5 more
doaj   +1 more source