Results 71 to 80 of about 124,023 (246)

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

How Does Generative AI Drive Business Models’ Iterative Innovation of Digital Entrepreneurial Enterprises? From the Perspective of Entrepreneurial System Elements

Systems
The rapid development of generative AI technology has provided new pathways for iterative innovation in the business models of digital entrepreneurial enterprises.
Xuejiao Xu, Jing Zhang, Kun Zhang
doaj   +1 more source

ITERATIVE SUBSPACE IDENTIFICATION OF PIECEWISE LINEAR SYSTEMS

IFAC Proceedings Volumes, 2006
Abstract In this paper an iterative subspace approach is proposed for the identification of piecewise linear systems with unknown number of local systems. The proposed approach runs offline and integrates the detection of switching between local systems and the iterative estimation of the respective observability spaces in a single framework ...
José Borges, Vincent Verdult, Michel Verhaegen   +2 more
openaire   +1 more source

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source

Iterative Identification of Large Scale Systems

IFAC Proceedings Volumes, 1988
Abstract The purpose of this paper is to introduce and partially develop new iterative methods for identification of large scale systems. Tne proposed identification algorithms are defined in the prediction-correction estimation framework using locally defined extended Kalman filters. The overall system identification is based on iterative estimation
openaire   +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

Parameter Identification by Iterative Constrained Regularization

Journal of Physics: Conference Series, 2015
Parameter identification from noisy data is an ill-posed inverse problem and data noise leads to poor solutions. Regularization methods are necessary to obtain stable solutions. In this paper we introduce the regularization by means of an iteratively weighted constraint and define an algorithm to compute the weights and solve the constrained problems ...
openaire   +2 more sources

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

IECI: A Pipeline Framework for Iterative Event Causal Identification with Dynamic Inference Chains

Applied Sciences
Event Causality Identification (ECI) is a crucial task in Information Extraction (IE). However, information about events described in documents is often distributed across sentences, which makes it difficult for existing studies to capture long-distance ...
Hefei Chen, Yuanyuan Cai, Zexi Song, Yiyao Zhang, Hongbo Zhang   +4 more
doaj   +1 more source