Results 61 to 70 of about 5,139 (262)

The O(α2) initial state QED corrections to e+e−→γ⁎/Z0⁎

open access: yesNuclear Physics B, 2020
We calculate the complete O(α2) initial state radiation corrections to e+e− annihilation into a neutral vector boson in a direct analytic computation without any approximation.
J. Blümlein   +3 more
doaj   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz   +25 more
wiley   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz   +3 more
wiley   +1 more source

Interpolation for Neural Network Operators Activated by Smooth Ramp Functions

open access: yesComputation
In the present article, we extend the results of the neural network interpolation operators activated by smooth ramp functions proposed by Yu (Acta Math. Sin.(Chin. Ed.) 59:623-638, 2016). We give different results from Yu (Acta Math. Sin.(Chin.
Fesal Baxhaku   +2 more
doaj   +1 more source

Spline coalescence hidden variable fractal interpolation functions

open access: yesJournal of Applied Mathematics, 2006
This paper generalizes the classical spline using a new construction of spline coalescence hidden variable fractal interpolation function (CHFIF). The derivative of a spline CHFIF is a typical fractal function that is self-affine or non-self-affine ...
A. K. B. Chand, G. P. Kapoor
doaj   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri   +7 more
wiley   +1 more source

MELANOMA IMAGE CLASSIFICATION SYSTEM BY NSCT FEATURES AND BAYES CLASSIFICATION

open access: yesInternational Journal of Advances in Signal and Image Sciences, 2016
The knowledge obtained from a classification system is increasingly important for making a final decision. In this paper, a skin cancer classification system using Non-Sub sampled Contourlet Transform (NSCT) is presented.
Sonia R
doaj   +1 more source

Continuity of iteration and approximation of iterative roots

open access: yesJournal of Computational and Applied Mathematics, 2011
Let \(I = [a,b] \subset \mathbb{R}\). We define \(C(I)\) to be the set of continuous functions \(f: I \to I\). It is proved that the operator \(T_{n}: C(I) \to C(I)\), where \(T_{n}f = f^{n}, f^{0}(x) = x, f^{k}(x) = f(f^{k-1}(x))\) for \(x \in I, f \in C(I)\) and \(k = 1, 2,\dots,n\), is continuous with respect to the supremum metric.
Zhang, Wenmeng, Zhang, Weinian
openaire   +1 more source

Approximate iterations for structured matrices [PDF]

open access: yesNumerische Mathematik, 2008
The paper deals with the evaluation of a matrix-valued function \(f(A)\), where \(A\) is a large matrix with a special structure. The authors present a transformation of an iterative fixed-point like process, under certain general assumptions, into another process which preserves the convergence rate and benefits from the underlying structure ...
Hackbusch, Wolfgang   +2 more
openaire   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

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