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Computer-based automatic recognition of persons for security reasons is highly desirable. Iris patterns provide an opportunity for separation of individuals to an extent that would avoid false positives and negatives. The current standard for this science is Daugman's iris localization algorithm. Part of the time required for analysis and comparison with(More)
The neuroanatomical morphology of the optic nerve is an important description for understanding different aspects like topological distribution of nerves. Manual identification and morphometry has been usually considered as tedious, time consuming, and susceptible to error. A method that automates the identification and analysis of axons from electron(More)
Automatic detection and classification of electroencephalogram (EEG) epileptic activity aid diagnosis and relieve the heavy workload of doctors. This article presents a new EEG classification approach based on the extreme learning machine (ELM) and wavelet transform (WT). First, the WT is used to extract useful features when certain scales cover abnormal(More)
INTRODUCTION In recent years, diffusion tensor imaging (DTI) has emerged as a promising tool to study ischemic stroke. The aim of this study is to evaluate the anisotropic changes of cerebral white matter tracks in patients with ischemic stroke using DTI, and investigate the correlation between corticospinal tract damage and muscle strength in such patients(More)
A new nonlinear approach is presented for high-frequency electrocorticography (ECoG)-based diagnosis of epilepsy. The ECoG data from 3 patients with epilepsy are analyzed in this study. A recently developed algorithm in graph theory, visibility graph (VG), is applied in this research. The approach is based on the key discovery that high-frequency(More)
With the development of communications industry, mobile phone plays an important role in daily life. Whether or not the electromagnetic radiation emitted by mobile phone causes any adverse effects on brain function has become of a great concern. This paper investigated the effect of electromagnetic field on spatial learning and memory in rats. 32 trained(More)
OBJECT To investigate how the characteristic structure of the cytoskeleton in glioma cells is associated with invasiveness. METHODS The whole cytoskeletal system was characterized by atomic force microscopy (AFM), while single cytoskeletal elements were exhibited by AFM and using cytoskeletal protein inhibitors to inhibit microfilaments or/and(More)
Tyrosine hydroxylase (TH) is the rate-limiting enzyme in brain catecholamine biosynthesis, and tetrahydrobiopterin is its cofactor. Research has focused on identifying mechanisms of TH activity regulation. TH activity is modulated by the cofactor itself, and is enhanced by several kinases phosphorylating key serines in the TH regulatory domain. Aside from(More)
In this work, we evaluated the differences between epileptic electroencephalogram (EEG) and interictal EEG by computing some non-linear features. Correlation dimension (CD) and Hurst exponent (H) were calculated for 100 segments of epileptic EEG and 100 segments of interictal EEG. A comparison was made between epileptic EEG and interictal EEG in those(More)
Meningiomas, one of the most common benign brain tumors in humans, arise from arachnoid cells in the brain meninges. Our investigations have revealed that miR-335 is a typical microRNA overexpressed in meningiomas in humans. Characterization of the effects of miR-335 overexpression in meningiomas demonstrated that elevated levels of miR-335 increased cell(More)