Results 71 to 80 of about 150,984 (329)
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
Annals 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
Class Symbolic Regression: Gotta Fit ’Em All
The Astrophysical Journal LettersWe introduce “Class Symbolic Regression” (Class SR), the first framework for automatically finding a single analytical functional form that accurately fits multiple data sets—each realization being governed by its own (possibly) unique set of fitting ...
Wassim Tenachi +3 more
doaj +1 more source
Differentiable Genetic Programming
, 2016 We introduce the use of high order automatic differentiation, implemented via the algebra of truncated Taylor polynomials, in genetic programming. Using the Cartesian Genetic Programming encoding we obtain a high-order Taylor representation of the ...
Biscani, Francesco +2 more
core +1 more source
Public confidence in policing: a neo-Durkheimian perspective [PDF]
, 2007 Public confidence in policing has received much attention in recent years, but few studies outside of the United States have examined the sociological and social–psychological processes that underpin trust and support.
Jackson, Jonathan, Sunshine, Jason
core +1 more source
Annals 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
, 2017 Networks of coupled dynamical systems provide a powerful way to model systems with enormously complex dynamics, such as the human brain. Control of synchronization in such networked systems has far reaching applications in many domains, including ...
Abel, Markus +4 more
core +1 more source
Symbolic macromodeling of parameterized S-parameter frequency responses [PDF]
, 2010 This paper presents an evolutionary algorithm for symbolic macromodeling of parameterized frequency responses. The method does not require an a priori specification of the multivariate functional form or complexity of the model.
Deschrijver, Dirk, Dhaene, Tom
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem +17 more
wiley +1 more source
salmon: A Symbolic Linear Regression Package for Python
Journal of Statistical SoftwareOne of the most attractive features of R is its linear modeling capabilities. We describe a Python package, salmon, that brings the best of R's linear modeling functionality to Python in a Pythonic way - by providing composable objects for specifying ...
Alex Boyd, Dennis L. Sun
doaj +1 more source
Symbolic regression metamodel based multi-response optimization of EDM process [PDF]
FME Transactions, 2020 Electrical Discharge Machining (EDM) is a popular non-traditional machining process that is widely used due to its ability to machine hard and brittle materials. It does not require a cutting tool and can machine complex geometries easily.
Ghadai Ranjan Kumar +2 more
doaj