Results 11 to 20 of about 449,569 (305)
Functional neuroimaging of traumatic brain injury: advances and clinical utility
Andrei Irimia, John Darrell Van Horn USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA Abstract: Functional deficits due to traumatic brain injury (TBI) can have ...
Irimia A, Van Horn JD
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Brain contrast-enhanced ultrasonography and elastography in infants [PDF]
Advanced ultrasound techniques, including brain contrast-enhanced ultrasonography and elastography, are increasingly being explored to better understand infant brain health.
Misun Hwang +4 more
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Utility functional magnetic resonance imaging in children with epilepsy [PDF]
Evaluation of brain imaging has evolved over the past 15 years, moving from analyzing the structure to function through functional magnetic resonance imagery (fMRI).
Oana Tarta-Arsene +5 more
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Lipschitz Bernoulli Utility Functions
We obtain several variants of the classic von Neumann–Morgenstern expected utility theorem with and without the completeness axiom in which the derived Bernoulli utility functions are Lipschitz. The prize space in these results is an arbitrary separable metric space, and the utility functions are allowed to be unbounded.
Efe A. Ok, Nik Weaver
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Background The progression of Duchenne muscular dystrophy (DMD) is characterized by loss of ambulation, respiratory insufficiency, cardiomyopathy, and early mortality. DMD profoundly impacts health-related quality-of-life (HRQoL).
Ivana F. Audhya +9 more
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Time Functions as Utilities [PDF]
Every time function on spacetime gives a (continuous) total preordering of the spacetime events which respects the notion of causal precedence. The problem of the existence of a (semi-)time function on spacetime and the problem of recovering the causal structure starting from the set of time functions are studied.
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Brain function relies on efficient communications between distinct brain systems. The pathology of major depressive disorder (MDD) damages functional brain networks, resulting in cognitive impairment.
Zhiyun Yang +9 more
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We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasive issues in optimization, including the traditionally difficult problem of selecting an algorithm that is most appropriate for a given task.
Christopher K. Monson +2 more
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Alternating Direction Method of Multipliers (ADMM) is a widely used machine learning tool in distributed environments. In the paper, we propose an ADMM-based differential privacy learning algorithm (FDP-ADMM) on penalized quantile regression for ...
Xingcai Zhou, Yu Xiang
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Utility and Limitations of Using Gene Expression Data to Identify Functional Associations. [PDF]
Gene co-expression has been widely used to hypothesize gene function through guilt-by association. However, it is not clear to what degree co-expression is informative, whether it can be applied to genes involved in different biological processes, and ...
Sahra Uygun +4 more
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