Results 41 to 50 of about 728,251 (279)

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals 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   +7 more
wiley   +1 more source

Rapid method for interconversion of binary and decimal numbers [PDF]

open access: yes, 1970
Decoding tree consisting of 40-bit semiconductor read-only memories interconverts binary and decimal numbers 50 to 100 times faster than current methods.
Lim, R. S.
core   +1 more source

Family constraining of iterative algorithms [PDF]

open access: yesNumerical Algorithms, 2013
Revised: July 5, 2013, Numerical Algorithms, accepted for ...
Censor, Yair   +2 more
openaire   +3 more sources

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

open access: yesAnnals 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   +11 more
wiley   +1 more source

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

open access: yesAnnals 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   +10 more
wiley   +1 more source

An Iterative Algorithm for the Generalized Reflexive Solution of the Matrix Equations AXB=E, CXD=F

open access: yesJournal of Applied Mathematics, 2012
An iterative algorithm is constructed to solve the linear matrix equation pair AXB=E, CXD=F over generalized reflexive matrix X. When the matrix equation pair AXB=E, CXD=F is consistent over generalized reflexive matrix X, for any generalized reflexive ...
Deqin Chen, Feng Yin, Guang-Xin Huang
doaj   +1 more source

Convergence Theorems for the Variational Inequality Problems and Split Feasibility Problems in Hilbert Spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2021
In this paper, we establish an iterative algorithm by combining Yamada’s hybrid steepest descent method and Wang’s algorithm for finding the common solutions of variational inequality problems and split feasibility problems. The strong convergence of the
Panisa Lohawech   +2 more
doaj   +1 more source

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

open access: yesAnnals 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   +10 more
wiley   +1 more source

Power allocation schemes for full-duplex two-way relay systems

open access: yes上海师范大学学报. 自然科学版, 2017
Two power allocation schemes are presented to maximize SE and EE respectively.An iterative algorithm is used to solve the EE optimization problem.Firstly,the EEoptimization problem is transformed into a tractable non-fractional one by using the ...
Ge Jia, Qiu Mengting, Yu Hui
doaj   +1 more source

Matrix completion by singular value thresholding: sharp bounds

open access: yes, 2015
We consider the matrix completion problem where the aim is to esti-mate a large data matrix for which only a relatively small random subset of its entries is observed.
Klopp, Olga
core   +2 more sources

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