This article describes a pattern classification algorithm for pediatric epilepsy using fMRI language-related activation maps. 122 fMRI datasets from a control group (64) and localization related epilepsy patients (58) provided by five children's hospitals were used. Each subject performed an auditory description decision task. Using the artificial data as training data, incremental Principal Co...

Background: Normal sperm function depends on appropriate intracellular calcium (Cai2+) and reactive oxygen species (ROS) levels. Calcium activates NADPH oxidase-5 (NOX5) that leads to ROS generation. The calcium channel of sperm (CatSper) is activated by progesterone and intracellular alkalization. Herein, the interactive role of CatSper, Hv1 channels, and NOX5 enzyme on Cai2+ and ROS generatio...

The novel Hessian-based pruning (HBP) technique to optimize the feed-forward (FF) neural network (NN) configuration in a dynamic manner is proposed. It is then used to optimize the extant NNC (Neural Network Controller) as the verification exercise. The NNC is designed for dynamic buffer tuning to eliminate buffer overflow at the user/server level. The HBP optimization process is also dynamic a...

Many applications of static analysis and verification compute on some abstract domain based on convex polyhedra. Traditionally, most of these applications are restricted to convex polyhedra that are topologically closed. When adopting the Double Description (DD) method [8], a closed convex polyhedron can be specified in two ways, using a constraint system or a generator system: the constraint s...

Extensive research has been conducted demonstrating the predictive validity and reliability of the Implicit Association Test (IAT) for a broad array of behaviors and contexts. However, less work has been done examining its underlying construct validity. This contribution focuses on examining whether a core theoretical foundation of the IAT paradigm is valid, specifically, whether the IAT effect...

The Degree-Constrained Minimum Spanning Tree (dMST) problem attempts to find a minimum spanning tree with an added constraint that no nodes in the tree have a degree larger than a specified integer d. It is known that computing the d-MST is NP-hard for every d in the range 2 ≤ d ≤ (n − 2), where n denotes the total number of nodes. Several approximate algorithms (heuristics) have been proposed ...

This paper proposes a hybrid learning method to speed up the classification procedure of Support Vector Machines (SVM). Comparing most algorithms trying to decrease the support vectors in an SVM classifier, we focus on reducing the data points that need SVM for classification, and reduce the number of support vectors for each SVM classification. The system uses a Nearest Neighbor Classifier (NN...

Seborrheic keratoses (SKs) are common, benign epithelial tumors of the skin that do not, or very rarely, progress into malignancy, for reasons that are not understood. We investigated this by gene expression profiling of human SKs and cutaneous squamous cell carcinomas (SCCs) and found that several genes previously connected with keratinocyte tumor development were similarly modulated in SKs an...

OBJECTIVES We propose a modified simultaneous kissing stenting technique (MSKS) based on systematic implantation of a protective stent in the proximal main vessel (PMV) proximally to the bifurcation before simultaneous kissing stenting (SKS). BACKGROUND SKS has been proposed in large-size coronary vessel bifurcation lesions (BLs) when the PMV can accommodate two stents. SKS implies, however, ...

This paper presents a control scheme of a neural network for a DC-DC Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characterist...