Results 121 to 130 of about 262,287 (308)

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk   +10 more
wiley   +1 more source

A Comparison of Existing Optimisation Techniques with the Univariate Marginal Distribution Algorithm for the Channel Assignment Problem

open access: yes, 2016
The channel assignment problem has an important role to play in mobile telephone communication. Since the frequency band width is limited, the optimal assignment problem of channels has become increasingly  important.
Cheeneebash, J, Rughooputh, HCS
core   +2 more sources

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan   +5 more
wiley   +1 more source

Analysis of queueing system with discrete autoregressive arrivals having DML as marginal distribution

open access: yes, 2013
In this paper we analyze DAR(1)/D/s Queue with Discrete Mittag-Leffler [DML(α)] as marginal distribution. Simulation study of the sample path of the arrival process is conducted.
Abraham, Bindu   +3 more
core   +1 more source

MARGINAL DISTRIBUTIONS OF FINITE MIXTURES OF MULTIVARIATE NORMAL DISTRIBUTIONS

open access: yesJOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2001
Summary: We give a transformation such that, for a \(k\)-dimensional finite normal mixture, the number of components and the mixing ratios are preserved on each marginal density through the transformation. Furthermore, under the only assumption of a \(k\)-dimensional finite normal mixture, we construct a one-dimensional random variable with a finite ...
openaire   +3 more sources

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro   +14 more
wiley   +1 more source

Data-driven Informative Priors for Bayesian Inference with Quasiperiodic Data

open access: yesThe Astronomical Journal
Bayesian computational strategies for inference can be inefficient in approximating the posterior distribution in models that exhibit some form of periodicity.
Javier López-Santiago   +3 more
doaj   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs   +7 more
wiley   +1 more source

On the Runtime Dynamics of the Univariate Marginal Distribution Algorithm on Jump Functions [PDF]

open access: yes, 2018
University of Minnesota M.S. thesis. May 2018. Major: Computer Science. Advisor: Andrew Sutton. 1 computer file (PDF); vi, 79 pages.Solving jump functions by using traditional evolutionary algorithms (EAs) seems to be a challenging task.
Hasenohrl, Vaclav
core  

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon   +9 more
wiley   +1 more source

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