Results 191 to 200 of about 3,282,089 (253)

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers, Yaqiao Wei, Dinesh K. Deelchand, Adam Berrington, Young Woo Park, Guita Banan, Michal Povazan, Jens T. Rosenberg, André J. W. van der Kouwe, Tetsuo Ashizawa, Khalaf O. Bushara, Chiadi U. Onyike, Sub H. Subramony, Jeremy D. Schmahmann, Brian J. Soher, Peter B. Barker, Thomas H. Mareci, Eva‐Maria Ratai, Lynn E. Eberly, Gülin Öz   +19 more
wiley   +1 more source

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

Annals 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, Mackenzie Silverman, Maeve C. Lucas, Mariam M. Yousuf, Samuel T. Otey, Stella V. Gray, Brittany Jordan, Madeline D. Kahan, Latanya D. Agurs, Michelle Van Hirtum Das, Deborah Holder, Devin King, Eileen A. Quinn, Ryan Kammeyer, Michael S. Rafii   +14 more
wiley   +1 more source

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Adding Behavior to Models

11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007), 2007
Domain Specific Languages (DSLs) play a cornerstone role in Model-Driven Software Development for representing models and metamodels. DSLs are usually defined in terms of their abstract and concrete syntax only. This allows the rapid and inexpensive development of DSLs and their associated tools (e.g., editors), but does not allow the representation of
José Eduardo Rivera, Antonio Vallecillo
openaire   +1 more source

Models for citation behavior

Scientometrics, 2007
The number of citations of journal papers is an important measure of the impact of research. Thus, the modeling of citation behavior needs attention. Burrell, Egghe, Rousseau and others pioneered this type of modeling. Several models have been proposed for the citation distribution.
Saralees Nadarajah, Samuel Kotz
openaire   +1 more source

Modelling Competitive Behavior [PDF]

The RAND Journal of Economics, 1992
A single seller of an indivisible object wishes to sell the good to one of many buyers. The seller has zero value for the good, the buyers have a commonly known identical value of one. This article attempts to determine strategic environments that ensure the seller's ability to exploit the competitive behavior of the buyers to extract all the surplus ...
openaire   +2 more sources

Models of Behavior and the Hypothalamus

1974
Publisher Summary The purpose of this chapter is to define a model of behavior as a set of statements from which truthful predictions of the future behavior of an individual can be derived. All such models rest on the assumption that, given sufficient information on present internal state and external input of the individual, its behavior in a ...
L, de Ruiter, P R, Wiepkema, J G, Veening   +2 more
openaire   +2 more sources

Modeling Nonprofit Behavior

2010
In Chapter 9 we focus on the modeling of nonprofit behavior starting with the structural components of model design that frame the organization’s behavior, followed by the theoretical issues associated with the choice of organizational form. We then consider the empirical evidence to reveal the goals of nonprofit organizations in specific industries ...
Patricia Hughes, William Luksetich
openaire   +1 more source

Analysis of microscopic behavior models for probabilistic modeling of driver behavior

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
The accurate simulation and prediction of human behavior is critical in many transportation applications, including safety and energy management systems. Construction of human driving models by hand is time-consuming and error-prone, and small modeling inaccuracies can have a significant impact on the estimated performance of a candidate system.
Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer   +2 more
openaire   +1 more source

Behavior-Based Model Construction

International Journal on Software Tools for Technology Transfer, 2002
In this paper, we review behavior-based model construction from a point of view characterized by verification, model checking and abstract interpretation. It turns out that abstract interpretation is the key for scaling known learning techniques for practical applications, model checking may serve as a teaching aid in the learning process underlying ...
Hardi Hungar, Bernhard Steffen
openaire   +1 more source