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2017

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Biomarker And Shear Stress In Secondary Pediatric Pulmonary Hypertension, Ayhan Pektaş, Fatma Rana Olguntürk, Serdar Kula, Erman Çi̇lsal, Ayşe Deni̇z Oğuz, Fatma Sedef Tunaoğlu Jan 2017

Biomarker And Shear Stress In Secondary Pediatric Pulmonary Hypertension, Ayhan Pektaş, Fatma Rana Olguntürk, Serdar Kula, Erman Çi̇lsal, Ayşe Deni̇z Oğuz, Fatma Sedef Tunaoğlu

Turkish Journal of Medical Sciences

Background/aim: Endothelial dysfunction, tissue damage, inflammation, and microthrombosis are involved in the pathogenesis of pulmonary hypertension (PH), which may be present as a complication of congenital heart diseases. This study aims to identify how indicators of endothelial dysfunction (shear stress), tissue damage (brain natriuretic peptide and troponin T), inflammation (C-reactive protein (CRP)), and microthrombosis (D-dimer and von Willebrand factor) are altered in children with congenital left-to-right shunting. Materials and methods: This is a review of 25 children who developed PH due to congenital left-to-right shunting, 40 children who underwent corrective surgery for congenital left-to-right shunting, and 40 healthy children.Results: Serum …

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Interleukin-6 And Hepcidin Expression Changes In Cardiac Tissue Of Long-Term Trained And Untrained Rats After Exhaustive Exercise, Badegül Sarikaya, Ali̇ Doğan Dursun, Elçi̇n Yağmur Taylan Deveden, Lamia Pinar Jan 2017

Interleukin-6 And Hepcidin Expression Changes In Cardiac Tissue Of Long-Term Trained And Untrained Rats After Exhaustive Exercise, Badegül Sarikaya, Ali̇ Doğan Dursun, Elçi̇n Yağmur Taylan Deveden, Lamia Pinar

Turkish Journal of Medical Sciences

Background/aim: Exercise benefits the cardiovascular system, but strenuous exercise can cause cardiac damage and induce cytokine production, particularly that of interleukin-6 (IL-6). Hepcidin, which is primarily regulated by IL-6, increases after exercise. Hepcidin is a possible protective factor against the adverse effects of strenuous exercise such as oxidative stress. The aim of the study is to reveal that training increases hepcidin and attenuates increased levels of IL-6 in the hearts of exhaustively exercised rats by comparing the IL-6 and hepcidin mRNA expression levels in trained and untrained groups.Materials and methods: Thirty male Wistar albino rats were assigned to the following …

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Analysis Of Fancc Gene Mutations (Ivs4+4a>T, Del322g, And R548x)In Patients With Fanconi Anemia In Pakistan, Iram Aftab, Saima Iram, Saba Khaliq, Muhammad Israr, Nadir Ali, Shah Jahan, Shabbir Hussain, Shagufta Khaliq, Shahida Mohsin Jan 2017

Analysis Of Fancc Gene Mutations (Ivs4+4a>T, Del322g, And R548x)In Patients With Fanconi Anemia In Pakistan, Iram Aftab, Saima Iram, Saba Khaliq, Muhammad Israr, Nadir Ali, Shah Jahan, Shabbir Hussain, Shagufta Khaliq, Shahida Mohsin

Turkish Journal of Medical Sciences

Background/aim: Fanconi anemia (FA) is an autosomal recessive disease determined by mutations in at least 16 genes, with distinct distributions in different populations. To the best of our knowledge, there are no reports regarding the molecular basis of the disease in FA patients in Pakistan. The current study aimed to determine the frequency of FANCC gene mutations, i.e. IVS4+4A>T, del322G, and R548X, in FA patients. Materials and methods: Genomic DNA was obtained from 36 FA patients. All samples were analyzed by polymerase chain reaction and restriction fragment length polymorphism techniques. Results: Mutation IVS4+4A>T was identified in 26 (72.2%) …

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Profile Of Pot1 As Telomerase Shelterin Component Discriminatesbetween Cervical Cancer And Normal Cervical Cells, Andreas Budi Wijaya, Furqan Hidayatullah, Verina Veronica Setyabudhi, Faizal Reza Pahlevi, Rasyad Indra, Tatit Nurseta Jan 2017

Profile Of Pot1 As Telomerase Shelterin Component Discriminatesbetween Cervical Cancer And Normal Cervical Cells, Andreas Budi Wijaya, Furqan Hidayatullah, Verina Veronica Setyabudhi, Faizal Reza Pahlevi, Rasyad Indra, Tatit Nurseta

Turkish Journal of Medical Sciences

Background/aim: Telomerase activity is influenced by hTERT transcriptional regulation, shelterin, and posttranscriptional alternative splicing. Telomerase shelterin such as POT1 is highly correlated with various cancers. However, the profile of POT1 in cervical cancer has not been clearly identified. Therefore, it is important to identify its profile in cervical cancer biopsy tissue and normal cervical smears. Materials and methods: Biopsy tissue of cervical cancer patients and normal cervical smears were characterized using SDS-PAGE and western blot. Sixteen biopsy tissues of cervical cancer patients and 15 normal cervical smears were measured for POT1 level using ELISA. Results: The inline band at 70 …

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Incidence Of Cancer In The Turkish Republic Of Northern Cyprus, Ruqiya Pervaiz, Pinar Tulay, Faisal Faisal, Nedime Serakinci Jan 2017

Incidence Of Cancer In The Turkish Republic Of Northern Cyprus, Ruqiya Pervaiz, Pinar Tulay, Faisal Faisal, Nedime Serakinci

Turkish Journal of Medical Sciences

ackground/aim: This study analyzed the incidence, trends, and common types of cancer in the Turkish Republic of Northern Cyprus (TRNC). Materials and methods: This study is based on data collected from the office of the North Cyprus Cancer Registry, Ministry of Health, for 2007-2012. Data were arranged on the basis of age group, sex, and cancer site. Age standardized incidence rates (ASRs) were estimated with the world standard population. EVIEWS (version 9) software was used for statistical analysis. Results: Of 1395 registered cases, 52.33% (730) were reported in men and 47.67% (665) in women. The crude incidence rate was 96.41 …

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Genetic Association Analysis Of Erbb4 Polymorphisms With The Risk Ofschizophrenia Susceptibility In A Jordanian Population Of Arab Descent, Laith Aleitan, Sahar Al-Habahbeh, Rami Alkhatib Jan 2017

Genetic Association Analysis Of Erbb4 Polymorphisms With The Risk Ofschizophrenia Susceptibility In A Jordanian Population Of Arab Descent, Laith Aleitan, Sahar Al-Habahbeh, Rami Alkhatib

Turkish Journal of Medical Sciences

Background/aim: The ERBB4 gene encodes a transmembrane tyrosine kinase and is considered to be one of the risk genes of schizophrenia. Although there is evidence of the roles of genes and the environment in the etiology of schizophrenia, a comprehensive biological and genetic background of the disease is still lacking. The aim of this study is to assess whether genetic variation in the human ERBB4 gene is associated with vulnerability to schizophrenia in the Jordanian Arab population. Materials and methods: A total of 185 inpatients with schizophrenia participated in this study and 195 healthy genetically homogeneous individuals were also used …

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Meloxicam And Diclofenac Do Not Change Vegf And Pdgf-Abserum Levels Of Platelet-Rich Plasma, Burkay Utku, Gürhan Dönmez, Gülri̇z Eri̇şgen, Şenay Akin, Ali̇ Haydar Demi̇rel, Feza Korkusuz, Mahmut Nedi̇m Doral Jan 2017

Meloxicam And Diclofenac Do Not Change Vegf And Pdgf-Abserum Levels Of Platelet-Rich Plasma, Burkay Utku, Gürhan Dönmez, Gülri̇z Eri̇şgen, Şenay Akin, Ali̇ Haydar Demi̇rel, Feza Korkusuz, Mahmut Nedi̇m Doral

Turkish Journal of Medical Sciences

Background/aim: Platelet-rich plasma (PRP) application has gained widespread interest for musculoskeletal injuries. Nonsteroidal antiinflammatory drugs are frequently used in sports medicine before and/or after PRP application. Our study seeks to determine whether serum levels of platelet-derived growth factor-AB (PDGF-AB) and vascular endothelial growth factor (VEGF) levels of PRP would be affected by nonsteroidal antiinflammatory drugs. Materials and methods: Two different final concentrations of diclofenac (0.5 6mu;g mL-1 and 2.5 6mu;g mL-1), meloxicam (0.8 μg mL-1 and 2.0 μg mL-1), and acetylsalicylic acid (final concentration 450 μm) were obtained in separate tubes with PRPs prepared from 20 healthy male volunteers. Medicine-free …

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Molecular Characteristics And Antibiotic Resistance Of Acinetobacter Baumanniibeta-Lactamase-Producing Isolates, A Predominance Of Intrinsic Blaoxa-51, And Detection Oftem And Ctx-M Genes, Amir Ibrahimagic, Farah Kamberovic, Selma Uzunovic, Branka Bedenic, Emina Idrizovic Jan 2017

Molecular Characteristics And Antibiotic Resistance Of Acinetobacter Baumanniibeta-Lactamase-Producing Isolates, A Predominance Of Intrinsic Blaoxa-51, And Detection Oftem And Ctx-M Genes, Amir Ibrahimagic, Farah Kamberovic, Selma Uzunovic, Branka Bedenic, Emina Idrizovic

Turkish Journal of Medical Sciences

Background/aim: The aim of this study was to determine the molecular characteristics and antibiotic resistance of 13 (10 inpatient and three outpatient) Acinetobacter baumannii beta-lactamase-producing isolates collected in Bosnia and Herzegovina between December 2009 and May 2010. Materials and methods: Susceptibility testing was performed by disk diffusion and broth microdilution methods. The modified Hodge and combined disk test with EDTA/phenylboronic acid was used to screen for carbapenemase production. Production of extended spectrum beta-lactamases (ESBLs) was determined by double-disk synergy test. PCR was used to detect blaESBL/blacarb genes. Results: Ten (22.2%) inpatient and three (13.6%) outpatient isolates produced beta-lactamases, ESBLs, or …

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Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif Jan 2017

Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif

Turkish Journal of Electrical Engineering and Computer Sciences

Segmentation of medical images has been one of the most important research areas because of its impact in modeling and diagnosing the structure and the functions of various organs. The lack of unique solution for the segmentation problem of medical images is caused by the wide range of selections among different medical imaging modalities and clustering methods where each setting has its own estimates for solving this problem. The unistable method is a novel method that generates enhanced images with high contrast, which can reduce boundary overlap between different tissues. This is accomplished by fusion of different clustering maps, which …

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Iris Nevus Diagnosis: Convolutional Neural Network And Deep Belief Network, Oyebade Oyedotun, Adnan Khashman Jan 2017

Iris Nevus Diagnosis: Convolutional Neural Network And Deep Belief Network, Oyebade Oyedotun, Adnan Khashman

Turkish Journal of Electrical Engineering and Computer Sciences

This work presents the diagnosis of iris nevus using a convolutional neural network (CNN) and deep belief network (DBN). Iris nevus is a pigmented growth (tumor) found in the front of the eye or around the pupil. It is seen that racial and environmental factors affect the iris color (e.g., blue, hazel, brown) of patients; hence, pigmented growths may be masked in the eye background or iris. In this work, some image processing techniques are applied to images to reinforce areas of interests in them, after which the considered classifiers are trained. We describe the automated diagnosis of iris nevus …

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Assessing The Importance Of Features For Detection Of Hard Exudates In Retinal Images, Kemal Akyol, Baha Şen, Şafak Bayir, Hasan Basri̇ Çakmak Jan 2017

Assessing The Importance Of Features For Detection Of Hard Exudates In Retinal Images, Kemal Akyol, Baha Şen, Şafak Bayir, Hasan Basri̇ Çakmak

Turkish Journal of Electrical Engineering and Computer Sciences

Diabetes disrupts the operation of the eye and leads to vision loss, affecting particularly the nerve layer and capillary vessels in this layer by changes in the blood vessels of the retina.~Suddenly loss and blurred vision problems occur in the image, depending on the phase of the disease, called diabetic retinopathy. Hard exudates are one of the primary signs of diabetic retinopathy. Automatic recognition of hard exudates in retinal images can contribute to detection of the disease. We present an automatic screening system for the detection of hard exudates. This system consists of two main steps. Firstly, the features were …

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Comparison Of Using The Genetic Algorithm And Cuckoo Search For Multicriteria Optimisation With Limitation, Ryszard Klempka, Boguslaw Filipowicz Jan 2017

Comparison Of Using The Genetic Algorithm And Cuckoo Search For Multicriteria Optimisation With Limitation, Ryszard Klempka, Boguslaw Filipowicz

Turkish Journal of Electrical Engineering and Computer Sciences

The article presents an example of using two optimisation methods, a genetic algorithm and cuckoo search, to identify parameters of electric drive controllers using some quality criteria and by applying a limitation to the maximum values of signals in the controlled facility. The results for both optimisation methods are compared. The impact of the probability that the nest host discovers the laid eggs on the speed of finding the optimum solution is investigated.

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Truncation Thresholds: A Pair Of Spike Detection Thresholds Computed Using Truncated Probability Distributions, Murat Okatan, Mehmet Kocatürk Jan 2017

Truncation Thresholds: A Pair Of Spike Detection Thresholds Computed Using Truncated Probability Distributions, Murat Okatan, Mehmet Kocatürk

Turkish Journal of Electrical Engineering and Computer Sciences

We describe a method for computing a pair of spike detection thresholds, called `truncation thresholds', using truncated probability distributions, for extracellular recordings. In existing methods the threshold is usually set to a multiple of an estimate of the standard deviation of the noise in the recording, with the multiplication factor being chosen between 3 and 5 according to the researcher's preferences. Our method has the following advantages over these methods. First, because the standard deviation is usually estimated from the entire recording, which includes the spikes, it increases with firing rate. By contrast, truncation thresholds decrease in absolute value with …

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Early Detection Of Sudden Cardiac Death Using Poincaré Plots And Recurrence Plot-Based Features From Hrv Signals, Vahid Houshyarifar, Mehdi Chehel Amirani Jan 2017

Early Detection Of Sudden Cardiac Death Using Poincaré Plots And Recurrence Plot-Based Features From Hrv Signals, Vahid Houshyarifar, Mehdi Chehel Amirani

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper we present a method to predict sudden cardiac death (SCD) based on the heart rate variability (HRV) signal and recurrence plots and Poincaré plot-extracted features. This work is a challenge since it is aimed to devise a method to predict SCD 5 min before its onset. The method consists of four steps: preprocessing, feature extraction, feature reduction, and classification. In the first step, the QRS complexes are detected from the electrocardiogram signal and then the HRV signal is extracted. In the second step, the recurrence plot of the HRV signal and Poincaré plot-extracted features are obtained. Four …

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Asymptotic Stability Of Solutions For A Certain Non-Autonomous Second-Order Stochastic Delay Differential Equation, Ahmed Mohamed Abou-El-Ela, Abdel-Rahiem Sadek, Ayman Mohammed Mahmoud, Eman Sayed Farghaly Jan 2017

Asymptotic Stability Of Solutions For A Certain Non-Autonomous Second-Order Stochastic Delay Differential Equation, Ahmed Mohamed Abou-El-Ela, Abdel-Rahiem Sadek, Ayman Mohammed Mahmoud, Eman Sayed Farghaly

Turkish Journal of Mathematics

In this paper, sufficient criteria that guarantee the existence of stochastic asymptotic stability of the zero solution of the nonautonomous second-order stochastic delay differential equation \eqref{3e1} were established with the aid of a suitable Lyapunov functional. Two examples are given in the last section to illustrate our main result.

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Dynamics Of A Predator-Prey System With A Mate-Finding Allee Effect On Prey, Ruiwen Wu, Xiuxaing Liu Jan 2017

Dynamics Of A Predator-Prey System With A Mate-Finding Allee Effect On Prey, Ruiwen Wu, Xiuxaing Liu

Turkish Journal of Mathematics

We consider a predator--prey system with nonmonotonic functional response and a hyperbolic type of mate-finding Allee effect on prey. A detailed mathematical analysis of the system, including the stability and a series of bifurcations (a saddle-node, a Hopf, and a Bogdanov--Takens bifurcation), has been given. The mathematical results show that the system is highly sensitive to the parameters and initial status. It exhibits a stable limit cycle, or different types of heteroclinic curves, or a homoclinic loop when parameters take suitable values.

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Stability Of Nonmonotone Critical Traveling Waves Forspatially Discrete Reaction-Diffusion Equations With Time Delay, Ge Tian, Guobao Zhang, Zhao-Xing Yang Jan 2017

Stability Of Nonmonotone Critical Traveling Waves Forspatially Discrete Reaction-Diffusion Equations With Time Delay, Ge Tian, Guobao Zhang, Zhao-Xing Yang

Turkish Journal of Mathematics

This paper is concerned with the existence and stability of critical traveling waves (waves with minimal speed $c=c_*$) for a nonmonotone spatially discrete reaction-diffusion equation with time delay. We first show the existence of critical traveling waves by a limiting argument. Then, using the technical weighted energy method with some new variations, we prove that the critical traveling waves $\phi(x+c_{*}t)$ (monotone or nonmonotone) are time-asymptotically stable when the initial perturbations are small in a certain weighted Sobolev norm.

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Stationary Distribution And Global Asymptotic Stability Of A Three-Species Stochastic Food-Chain System, Hong Qiu, Wenmin Deng Jan 2017

Stationary Distribution And Global Asymptotic Stability Of A Three-Species Stochastic Food-Chain System, Hong Qiu, Wenmin Deng

Turkish Journal of Mathematics

This paper intends to study some dynamical properties of a stochasticthree-dimensional Lotka--Volterra system. Under some mild assumptions, we first introduce a simple method to show thatthe model has a global and positive solution almost surely. Secondly,we prove that this model has a stationary distribution. Then we study the global asymptoticstability of the positive solution. Finally, some numerical simulations are introduced toillustrate the theoretical results.

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Quasi-Metric Trees And $Q$-Hyperconvex Hulls, Zechariah Mushaandja, Olivier Olela Otafudu Jan 2017

Quasi-Metric Trees And $Q$-Hyperconvex Hulls, Zechariah Mushaandja, Olivier Olela Otafudu

Turkish Journal of Mathematics

The investigation of metric trees began with J. Tits in 1977. Recently we studied a more general notion of quasi-metric tree. In the current article we prove, among other facts, that the $q$-hyperconvex hull of a $q$-hyperconvex $T_0$-quasi-metric tree is itself a $T_0$-quasi-metric tree. This is achieved without using the four-point property, a geometric concept used by Aksoy and Maurizi to show that every complete metric tree is hyperconvex.

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Dirac Systems With Regular And Singular Transmission Effects, Eki̇n Uğurlu Jan 2017

Dirac Systems With Regular And Singular Transmission Effects, Eki̇n Uğurlu

Turkish Journal of Mathematics

In this paper, we investigate the spectral properties of singular eigenparameter dependent dissipative problems in Weyl's limit-circle case with finite transmission conditions. In particular, these transmission conditions are assumed to be regular and singular. To analyze these problems we construct suitable Hilbert spaces with special inner products and linear operators associated with these problems. Using the equivalence of the Lax-Phillips scattering function and Sz-Nagy-Foiaş characteristic functions we prove that all root vectors of these dissipative operators are complete in Hilbert spaces.

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Piecewise Asymptotically Almost Periodic Solution Of Neutral Volterra Integro-Differential Equations With Impulsive Effects, Zhinan Xia Jan 2017

Piecewise Asymptotically Almost Periodic Solution Of Neutral Volterra Integro-Differential Equations With Impulsive Effects, Zhinan Xia

Turkish Journal of Mathematics

In this paper, we investigate the existence and uniqueness ofa piecewise asymptotically almost periodic mild solution tononautonomous neutral Volterra integro-differential equations withimpulsive effects in Banach space. The working tools are based onthe Krasnoselskii's fixed point theorem and semigroup theory. Inorder to illustrate our main results, we study the piecewiseasymptotically almost periodic solution of the impulsive partialdifferential equations with Dirichlet conditions.

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On Generalized Kropina Change Of $M$Th Root Finsler Metrics With Special Curvature Properties, Bankteshwar Tiwari, Ghanashyam Kr. Prajapati Jan 2017

On Generalized Kropina Change Of $M$Th Root Finsler Metrics With Special Curvature Properties, Bankteshwar Tiwari, Ghanashyam Kr. Prajapati

Turkish Journal of Mathematics

In the present paper, we consider generalized Kropina change of $m$th root Finsler metrics and prove that every generalized Kropina change of $m$th root Finsler metrics with isotropic Berwald curvature, isotropic mean Berwald curvature, relatively isotropic Landsberg curvature, and relatively isotropic mean Landsberg curvature reduces to the Berwald metric, weakly Berwald metric, Landsberg metric, and weakly Landsberg metric, respectively. We also show that every generalized Kropina change of $m$th root Finsler metrics with almost vanishing $\textbf{H}$-curvature has vanishing $\textbf{H}$-curvature.

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Exploiting Kernel-Based Feature Weighting And Instance Clustering To Transfer Knowledge Across Domains, Jafar Tahmoresnezhad, Sattar Hashemi Jan 2017

Exploiting Kernel-Based Feature Weighting And Instance Clustering To Transfer Knowledge Across Domains, Jafar Tahmoresnezhad, Sattar Hashemi

Turkish Journal of Electrical Engineering and Computer Sciences

Learning invariant features across domains is of vital importance to unsupervised domain adaptation, where classifiers trained on the training examples (source domain) need to adapt to a different set of test examples (target domain) in which no labeled examples are available. In this paper, we propose a novel approach to find the invariant features in the original space and transfer the knowledge across domains. We extract invariant features of input data by a kernel-based feature weighting approach, which exploits distribution difference and instance clustering to find desired features. The proposed method is called the kernel-based feature weighting (KFW) approach and …

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Probabilistic Data Fusion Model For Heart Beat Detection From Multimodal Physiological Data, Tehseen Zia, Zulqarnian Arif Jan 2017

Probabilistic Data Fusion Model For Heart Beat Detection From Multimodal Physiological Data, Tehseen Zia, Zulqarnian Arif

Turkish Journal of Electrical Engineering and Computer Sciences

Automatic detection of heart beats constitutes the basis for electrocardiogram (ECG) analysis and mainly relies on detecting QRS complexes. Detection is typically performed by analyzing the ECG signal. However, when signal quality is low, it often leads to the triggering of false alarms. A contemporary approach to reduce false alarm rate is to use multimodal data such as arterial blood pressure (ABP) or photoplethysmogram (PPG) signals. To leverage the correlated temporal nature of these signals, a probabilistic data fusion model for heart beat detection is proposed. A hidden Markov model is used to decode waveforms into segments. A Bayesian network …

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A Hybrid Tracking System For Image-Guided Spine Surgery Using A Tracked Mobile C-Arm: A Phantom Study, Peyman Ghobadi Azbari, Alireza Ahmadian, Hooshang Saberi, Mohammadreza Ay, Mostafa Abdolghaffar, Keyvan Amini Khoiy Jan 2017

A Hybrid Tracking System For Image-Guided Spine Surgery Using A Tracked Mobile C-Arm: A Phantom Study, Peyman Ghobadi Azbari, Alireza Ahmadian, Hooshang Saberi, Mohammadreza Ay, Mostafa Abdolghaffar, Keyvan Amini Khoiy

Turkish Journal of Electrical Engineering and Computer Sciences

In recent years, an increasing number of various surgeries are observed utilizing fluoroscopy. The radiation exposure received by patients and medical staff and the surgical guidance in multiple planes frequently necessitate the positioning of a mobile C-arm. Operative navigation enables a mobile C-arm to provide multiplanar surgical guidance and decreases the radiation dose to the patient and operating room personnel. In this study, we propose a video-based tracked mobile C-arm (referred to as a "tracked C-arm system") to position the system. This system defines a reference framework to maintain the video-optical tracker data and computed tomography (CT) or cone-beam CT …

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Analysis Of Reconstruction Performance Of Magnetic Resonance Conductivity Tensor Imaging (Mrcti) Using Simulated Measurements, Evren Deği̇rmenci̇, Behçet Murat Eyüboğlu Jan 2017

Analysis Of Reconstruction Performance Of Magnetic Resonance Conductivity Tensor Imaging (Mrcti) Using Simulated Measurements, Evren Deği̇rmenci̇, Behçet Murat Eyüboğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Magnetic resonance conductivity tensor imaging (MRCTI) was proposed recently to produce electrical conductivity images of anisotropic tissues. Similar to magnetic resonance electrical impedance tomography (MREIT), MRCTI uses magnetic field and boundary potential measurements obtained utilizing magnetic resonance imaging techniques. MRCTI reconstructs tensor images of anisotropic conductivity whereas MREIT reconstructs isotropic conductivity images. In this study, spatial resolution and linearity of five recently proposed MRCTI algorithms are evaluated using simulated measurements gathered from three different computer models. The results show that all five algorithms have quite similar reconstruction performances. Since the AB$_{z}$S algorithm is easier to apply compared to the other …

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A Data-Aware Cognitive Engine For Scheduling Data Intensive Applications In A Grid, Vijaya Nagarajan, Maluk Mohamed Mulk Abdul Jan 2017

A Data-Aware Cognitive Engine For Scheduling Data Intensive Applications In A Grid, Vijaya Nagarajan, Maluk Mohamed Mulk Abdul

Turkish Journal of Electrical Engineering and Computer Sciences

Data-intensive applications produce huge amounts of data that need to be stored, analyzed, and interpreted. A data grid serves as a cost-effective infrastructure for solving these data-intensive applications. Existing scheduling strategies are best suited for handling compute-intensive applications, although they lack in performance while handling data-intensive applications. In this work, a novel mechanism of incorporating cognitive science in a data grid is proposed for scheduling data-intensive workflows. A unique model is derived in which a cognitive engine (CE) is built into the middleware of the data grid. The intelligent agents present in the CE handle the request for data sets …

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Breast Boundary Segmentation In Thermography Images Based On Random Walkers, Mehrdad Moghbel, Syamsiah Mashohor, Rozi Mahmud, M.Iqbal Bin Saripan, Suzana Abd Hamid, Suraini Mohamad Sani, Saiful Nizam Jan 2017

Breast Boundary Segmentation In Thermography Images Based On Random Walkers, Mehrdad Moghbel, Syamsiah Mashohor, Rozi Mahmud, M.Iqbal Bin Saripan, Suzana Abd Hamid, Suraini Mohamad Sani, Saiful Nizam

Turkish Journal of Electrical Engineering and Computer Sciences

Breast and areola boundary detection and segmentation present the biggest challenge in breast segmentation from thermography images, as breast boundaries, especially in the upper quadrants of the breast, are nonexistent. Many segmentation approaches have been proposed for breast segmentation, such as active contours and snakes, circular Hough transforms, and live wires, but these methods often fail to achieve satisfactory results. With recent advances in image processing techniques, new segmentation concepts are being developed, such as random walkers, which have received high interest from the medical imaging community. In this study, 91 images acquired utilizing a FLIR A320 thermal camera are …

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Aqueous Paramagnetic Solutions For Mri Phantoms At 3 T:A Detailed Study On Relaxivities, Kalaivani Thangavel, Emi̇ne Ülkü Saritaş Jan 2017

Aqueous Paramagnetic Solutions For Mri Phantoms At 3 T:A Detailed Study On Relaxivities, Kalaivani Thangavel, Emi̇ne Ülkü Saritaş

Turkish Journal of Electrical Engineering and Computer Sciences

Phantoms with known T$_{1}$ and T$_{2}$ values that are prepared using solutions of easily accessible paramagnetic agents are commonly used in MRI imaging centers, especially with the goal of validating the accuracy of quantitative imaging protocols. The relaxivity parameters of several agents were comprehensively examined at lower B$_{0}$ field strengths, but studies at 3 T remain limited. The main goal of this study is to measure r$_{1}$ and r$_{2}$ relaxivities of three common paramagnetic agents (CuSO$_{4}$, MnCl$_{2}$, and NiCl$_{2})$ at room temperature at 3 T. Separate phantoms were prepared at various concentrations of 0.05-0.5 mM for MnCl$_{2}$ and 1-6 mM …

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Edge Distance Graph Kernel And Its Application To Small Molecule Classification, Mehmet Tan Jan 2017

Edge Distance Graph Kernel And Its Application To Small Molecule Classification, Mehmet Tan

Turkish Journal of Electrical Engineering and Computer Sciences

Graph classification is an important problem in graph mining with various applications in different fields. Kernel methods have been successfully applied to this problem, recently producing promising results. A graph kernel that mostly specifies classification performance has to be defined in order to apply kernel methods to a graph classification problem. Although there are various previously proposed graph kernels, the problem is still worth investigating, as the available kernels are far from perfect. In this paper, we propose a new graph kernel based on a recently proposed concept called edge distance-k graphs. These new graphs are derived from the original …

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