Results 51 to 60 of about 51,667 (267)

Diversity Analysis of Symbol-by-Symbol Linear Equalizers [PDF]

open access: yesIEEE Transactions on Communications, 2011
In frequency-selective channels linear receivers enjoy significantly-reduced complexity compared with maximum likelihood receivers at the cost of performance degradation which can be in the form of a loss of the inherent frequency diversity order or reduced coding gain.
Tajer, Ali   +2 more
openaire   +2 more sources

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky   +8 more
wiley   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

Numerical and experimental study of the effects of noise on the permutation entropy

open access: yesNew Journal of Physics, 2015
We analyze the effects of noise on the permutation entropy of dynamical systems. We take as numerical examples the logistic map and the Rössler system.
C Quintero-Quiroz   +3 more
doaj   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

open access: yesAnnals 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   +8 more
wiley   +1 more source

"Suure tamme" laul - süntees [PDF]

open access: yesMäetagused, 2011
A cyclic space-time concept in which one cycle corresponds to one year, can be used as a basis for an integral theory of a mythic world-and-time tree.
Matej Goršič
doaj  

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

Where God Is Becoming: Anime, Theosis, and the Sacred in Process

open access: yesReligions
This article explores how Japanese anime has become a space of theological imagination, where viewers encounter the divine not as fixed dogma but as a lived process.
Valentina-Andrada Minea
doaj   +1 more source

Proximity measures in symbolic data analysis

open access: yesStatistica, 2007
The Authors consider the general problem of similarity and dissimilarity measures in Symbolic Data Analysis. First of all they examine the classical definitions of elementary event, assertion object, hierarchical dependences and logical dependences. Then
Luciano Nieddu, Alfredo Rizzi
doaj   +1 more source

Symbolic Information Flow Measurement (SIFM): A software for measurement of information flow using symbolic analysis

open access: yesSoftwareX, 2020
Symbolic Information Flow Measurement software is used to compute the information flow between different components of a dynamical system or different dynamical systems using symbolic transfer entropy.
Dhurata Nebiu, Hiqmet Kamberaj
doaj   +1 more source

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