bluuebunny/crossref_metadata_2025 huggingface dataset:
Surveillance for Hepatocellular Carcinoma in Patients with NASH
Authors: Kolly Philippe , Dufour Jean-François
Published: June 2016

European and American guidelines recommend surveillance for hepatocellular carcinoma (HCC) by performing ultrasonography on a six-month basis on an at risk population, defined by presence of cirrhosis. HCC, due to non-alcoholic steatohepatitis (NASH), is rising. Patients with NASH have a high risk of developing HCC and, therefore, have to be enrolled in a screening program. One of the challenges with NASH-induced HCC is that half of the cases arise in non-cirrhotic patients. There is a need to identify those patients in order to screen them for HCC. The obesity of these patients is another challenge, it makes ultrasound screening more difficult. Other radiological methods, such as computer tomography (CT) scans or magnetic resonance imaging (MRI), are available, but the surveillance program would no longer be cost-effective. There is a need to prospectively acquire information on cohorts of patients with NASH in order to improve the tools we have to diagnose early tumors in these patients.
Development of EST Intron-Targeting SNP Markers for Panax ginseng and Their Application to Cultivar Authentication
Authors: Wang Hongtao , Li Guisheng , Kwon Woo-Saeng , Yang Deok-Chun
Published: June 2016

Panax ginseng is one of the most valuable medicinal plants in the Orient. The low level of genetic variation has limited the application of molecular markers for cultivar authentication and marker-assisted selection in cultivated ginseng. To exploit DNA polymorphism within ginseng cultivars, ginseng expressed sequence tags (ESTs) were searched against the potential intron polymorphism (PIP) database to predict the positions of introns. Intron-flanking primers were then designed in conserved exon regions and used to amplify across the more variable introns. Sequencing results showed that single nucleotide polymorphisms (SNPs), as well as indels, were detected in four EST-derived introns, and SNP markers specific to “Gopoong” and “K-1” were first reported in this study. Based on cultivar-specific SNP sites, allele-specific polymerase chain reaction (PCR) was conducted and proved to be effective for the authentication of ginseng cultivars. Additionally, the combination of a simple NaOH-Tris DNA isolation method and real-time allele-specific PCR assay enabled the high throughput selection of cultivars from ginseng fields. The established real-time allele-specific PCR assay should be applied to molecular authentication and marker assisted selection of P. ginseng cultivars, and the EST intron-targeting strategy will provide a potential approach for marker development in species without whole genomic DNA sequence information.
Could Vitamin D Analogues Be Used to Target Leukemia Stem Cells?
Authors: García-Ramírez Idoia , Martín-Lorenzo Alberto , González-Herrero Inés , Rodriguez-Hernández Guillermo , Vicente-Dueñas Carolina , Sánchez-García Isidro
Published: June 2016

Leukemic stem cells (LSCs) are defined as cells that possess the ability to self-renew and give rise to the differentiated cancer cells that comprise the tumor. These LSCs seem to show chemo-resistance and radio-resistance leading to the failure of conventional cancer therapies. Current therapies are directed at the fast growing tumor mass leaving the LSC fraction untouched. Eliminating LSCs, the root of cancer origin and recurrence, is considered to be a hopeful approach to improve survival or even to cure cancer patients. In order to achieve this, the characterization of LSCs is a prerequisite in order to develop LSC-based therapies to eliminate them. Here we review if vitamin D analogues may allow an avenue to target the LSCs.
Ectopic Expression of Testis Germ Cell Proteins in Cancer and Its Potential Role in Genomic Instability
Authors: Nielsen Aaraby , Gjerstorff Morten
Published: June 2016

Genomic instability is a hallmark of human cancer and an enabling factor for the genetic alterations that drive cancer development. The processes involved in genomic instability resemble those of meiosis, where genetic material is interchanged between homologous chromosomes. In most types of human cancer, epigenetic changes, including hypomethylation of gene promoters, lead to the ectopic expression of a large number of proteins normally restricted to the germ cells of the testis. Due to the similarities between meiosis and genomic instability, it has been proposed that activation of meiotic programs may drive genomic instability in cancer cells. Some germ cell proteins with ectopic expression in cancer cells indeed seem to promote genomic instability, while others reduce polyploidy and maintain mitotic fidelity. Furthermore, oncogenic germ cell proteins may indirectly contribute to genomic instability through induction of replication stress, similar to classic oncogenes. Thus, current evidence suggests that testis germ cell proteins are implicated in cancer development by regulating genomic instability during tumorigenesis, and these proteins therefore represent promising targets for novel therapeutic strategies.
Intravenous Administration Is an Effective and Safe Route for Cancer Gene Therapy Using the Bifidobacterium-Mediated Recombinant HSV-1 Thymidine Kinase and Ganciclovir
Authors: Zhou Huicong , He Zhiliang , Wang Changdong , Xie Tingting , Liu Lin , Liu Chuanyang , Song Fangzhou , Ma Yongping
Published: June 2016

The herpes simplex virus thymidine kinase/ganciclovir (HSV TK/GCV) system is one of the best studied cancer suicide gene therapy systems. Our previous study showed that caspase 3 expression was upregulated and bladder tumor growth was significantly reduced in rats treated with a combination of Bifidobacterium (BF) and HSV TK/GCV (BF-rTK/GCV). However, it was raised whether the BF-mediated recombinant thymidine kinase combined with ganciclovir (BF-rTK/GCV) was safe to administer via venous for cancer gene therapy. To answer this question, the antitumor effects of BF-rTK/GCV were mainly evaluated in a xenograft nude mouse model bearing MKN-45 gastric tumor cells. The immune response, including analysis of cytokine profiles, was analyzed to evaluate the safety of intramuscular and intravenous injection of BF-rTK in BALB/c mice. The results suggested that gastric tumor growth was significantly inhibited in vivo by BF-rTK/GCV. However, the BF-rTK/GCV had no effect on mouse body weight, indicating that the treatment was safe for the host. The results of cytokine profile analysis indicated that intravenous injection of a low dose of BF-rTK resulted in a weaker cytokine response than that obtained with intramuscular injection. Furthermore, immunohistochemical analysis showed that intravenous administration did not affect the expression of immune-associated TLR2 and TLR4. Finally, the BF-rTK/GCV inhibited vascular endothelial growth factor (VEGF) expression in mouse model, which is helpful for inhibiting of tumor angiogenesis. That meant intravenous administration of BF-rTK/GCV was an effective and safe way for cancer gene therapy.
Experimental Ultrasound Transmission through Fluid-Solid and Air-Solid Phononic Plates
Authors: Gómez-Lozano Vicente , Rubio Constanza , Candelas Pilar , Uris Antonio , Belmar Francisco
Published: June 2016

Underwater ultrasonic transmissions for fluid-solid and air-solid phononic brass plates are reported in this work. Although the structure is roughly the same, experimental results show very different behaviour between fluid-solid and air-solid phononic plates, due to most of the properties of the fluid-solid perforated plates rely on Fabry-Perot resonances, Wood anomalies and Lamb modes. In air-solid phononic plates Fabry-Perot resonance is highly attenuated due to impedances difference between air and water, and therefore some transmission modes are now distinguishable due to surface modes coupling.
Formulas for the Exponential of a Semi Skew-Symmetric Matrix of Order 4
Authors: Kula Levent , Karacan Murat , Yaylı Yusuf
Published: June 2016

In this paper the formula of the exponential matrix e A when A is a semi skew-symmetric real matrix of order 4 is derived. The formula is a generalization of the Rodrigues formula for skew-symmetric matrices of order 3 in Minkowski 3-space.
Enlarged Ionization Region and Wiley-McLaren Type Geometry
Authors: Şentürk Ş.
Published: June 2016

The ionization region of the ToF mass spectrometer having the Wiley- McLaren geometry was further enlarged on the basis of the Milani–de Heer criteria. The enlarging limits the use of the spectrometer to small cluster range as a result of mass resolution decrease at great deal amount. However the spectrometer is promising for the electron-cluster interaction studies.
Assessment of Optimum Tip Speed Ratio of Wind Turbines
Authors: Çetin N. , Yurdusev M. , Ata R. , Özdamar A.
Published: June 2016

The first thing to do in wind turbine blade design is to select tip speed ratio. Generally speaking, the speed ratio depends on the profile type used and the number of blades. Various speed ratios could be chosen for different types of profiles with different number of blades. Therefore, an optimization procedure should be applied to find the best ratio since this directly affects the energy generated from the turbine and in turn the investment made. This study presents a procedure to assess the optimum speed ratios for various profile types used in practice with various numbers of blades.
The Sine and Cosine Rules for Pure Triangles on the Dual Lorentzian Unit Sphere \({{{\overset{\sim}{S}}_{1}}^{2} }\)
Authors: Kazaz M.
Published: June 2016

In this work, we proved the sine and cosine rules for a spherical pure triangle on the dual Lorentzian unit sphere S ˜ 1 2 in the dual Lorentzian space D13.
Fuzzy Goal Programming Approach on Computation of the Fuzzy Arithmetic Mean
Authors: Güneş Mustafa , Umarosman Nurullah
Published: June 2016

In the traditional way of computing the arithmetic mean, there are various alternatives that support the same objective. Since the proposal of fuzzy sets by Zadeh, Bellman and Zadeh have developed a basic framework for decision-making in a fuzzy environment and investigated the fuzzy c-mean and the fuzzy weighted averages. The fuzzy c-mean is an extension of the c-mean that is widely applied to cluster algorithm. The fuzzy weighted averages extend the normal weighted mean by using the concept of fuzzy numbers and the extension principle. The fuzzy arithmetic mean is an extension of the normal arithmetic mean. The Goal Programming, which is used to solve the multiple objective decision problems, has wide and great potential among other methods targeting maximization or minimization of goals. The goal programming aims to minimize the biases from each objective, instead of optimizing of goals. In this study we do introduce a new approach to the computation of fuzzy arithmetic mean powered by fuzzy goal programming, named GUMAR.
Computational Analysis of a Multi-Server Bulk Arrival with Two Modes Server Breakdown
Authors: Sultan A. , Hassan N. , Elhamy N.
Published: June 2016

An extensive Monte Carlo study is performed to analyze a multi-server, bulk arrival (M [x]M/C; C-1/FCFS) queuing system. The system breakdown limits the system to serve with either C or (C-1) servers. The server breakdown has equal chance over all servers in the system while the arrival process is a Poisson process and the distribution of the bulk size X is a positive Poisson bulk size. Measures of system efficiency including mean queue length, mean waiting time, and blocking probability are introduced. Numerical results are obtained by simulation of the entire system.
On the Modified Newton’s Method for the Solution of a Class of Nonlinear Singular Integro-Differential Equations
Authors: Amer S. , Hassan A. , Radwan A.
Published: June 2016

In this paper we investigate the solvability of a certain class of nonlinear singular integro-differential equations with Cauchy kernel in the usual Holder space and its generalization by producing the sufficient conditions for the convergence of the modified Newton's method.
The Cosine Rule II for a Spherical Triangle on the Dual Unit Sphere
Authors: Kazaz M. , Uğurlu H. , Özdemir A.
Published: June 2016

In this work, we proved the Cosine Rule II for a spherical triangle on the dual unit sphere
Forming of High Strength/Low Formability Metal Sheets at Elevated Temperatures
Authors: Emin M. , Aykul Halil , Tunalıoğlu M.
Published: June 2016

The purpose of this study is to determine the limits and to investigate the efficiency of sheet metal forming process at elevated ( warm / hot ) temperatures. Deep drawing of HSLA / UHSLA steels, aluminium, titanium and magnesium alloys in an effective way is possible only at elevated temperatures and has some indefinitenesses. In the study, deep drawing simulations are realized with a titanium copper alloy and a low alloy steel to investigate the deep drawability of high strength / low formability metal sheets. The comparison of the results obtained from this study with the other experimental, analytical and computer aided studies found from the literature showed that the results are coherent. From the studies its understood that, the critical temperature that makes the deep drawability maximum differs from material to material. This temperature is a complex function of the material and deep drawing process parameters.
Lie Symmetries of Differential Equations by Computer Algebra
Authors: Can Mehmet
Published: June 2016

In this paper we restrict ourselves to Lie point symmetries an applications to the fourth order generalized Burgers equation GBE4. Using computer programs under the computer algebra package MATHEMATICA we find a three dimensional solvable Lie algebra of point symmetries of the GBE4 equation. The similarity reductions due to these symmetries have also been obtained.
Power Factor Correction of Synchronous Motor Using Fuzzy Logic
Authors: Kılıç Arş. , Altaş I.
Published: June 2016

Application of fuzzy logic theory in power factor correction of a synchronous motor is investigated in this paper. The power factor measured at the input terminals of a synchronous motor is adjusted to a required value using a fuzzy logic controller (FLC). If the measured power factor is different than the required reference value an error signal is generated. This error signal is evaluated by FLC to obtain a control signal for the synchronous motor excitation circuit since the power factor of a synchronous motor can be controlled and held at a desired value by adjusting the excitation current. Therefore it seem, to be more economic than other methods for some special applications.
Computer Aided Constrained Optimisation of Cutting Conditions in Drilling Operations on a CNC Lathe by Using Geometric Programming
Authors: Sönmez A. , Baykasoğlu Adil , Filiz İ.
Published: June 2016

This paper discusses the use of the geometric programming method to determine the optimum values of cutting speed and feed rate which yield minimum cost in a drilling operation that is performed on a CNC lathe, During the formulation of the problem a number of constraints are considered.
Conbustion Modelling in Dedicated Naturel Gas Engines
Authors: Soyhan Hakan , Soruşbay Cern
Published: June 2016

Combustion characteristics of a spark ignition engine utilizing natural gas as a fuel has been investigated by a mathematical model employing a global kinetic reaction mechanism for the oxidation of methane. In-cylinder flow mechanism is calculated by applying the Conchas algorithm in order to obtain the effects of various operational characteristics and design parameters concerning the combustion chamber. The results obtained from the model provided an optimization tool for engine modifications.
Free Vibrations of Rotating Adhesively Bonded Orthotropic Plates
Authors: Yavuz A. , Kotil Temel
Published: June 2016

In this study, free vibration analysis of rotating adhesively bonded specially orthotropic plates is investigated. A first-order shear-deformation plate theory including geometric nonlinearities in the form of the von Karman strains and the effects ofrotatory inertia and Coriolis is used to predict the free vibration frequencies and mode shapes of the system under consideration. In the analytical model, the thin interlaminar adhesive layer is taken into account in the form of mechanical springs. The governing non-linear equations of motion and the appropriate boundary conditions are derived by means of the variational method in conjunction with Hamilton's Principle.
Vibration Control Methods by Mode Localization: A Comparative Study
Authors: Yiğit Ahmet , Khalid Mohammad
Published: June 2016

This study is an attempt to generalize different active mode localization strategies. It is demonstrated that similar results can be obtained by either a passive design which exhibits normal mode localization or by an active controller which is obtained by employing some of the recently proposed design methods of active control methods. Different active control methods proposed for achieving mode localization are com-pared. It is shown that all active control methods proposed for mode localization can be considered as special cases of a general control method called "Space Domain Control".
An Artificial Neural Network Based Preestimation Fitler for Bad Data Defection, Identification and Elimination in State Estimation
Authors: Uzunoğlu Mehmet , Kocatepe Celal , Yumurtaca Recep
Published: June 2016

State estimators are vitally important in energy control centers. The measurements that come from control system are generally analysed by a state estimator. Since there can always be bad measurements in the system, estimated value and the true value of the state estimator can be far from each other. In this paper, by using an artificial neural network (ANN), a bad data detection, identification and then elimination preestimation filter is outlined.
Examination of Temperature Distribution as a Result of Hard-Brazing of Two Different Materials by Finite Elements Method
Authors: Şahin Salim , Toparlı Mustafa
Published: June 2016

Knowing the temperature effect on machine construction is the first step at material selection and planing machine parts exposed to temperature effect above normal conditions. Since joining processes such as welding and hard-brazing were done at high temperatures, abrupt variations in temperature distributions take place. Because of these temperature variations inner structure and shape changes occur in material. If two different materials are joint, these problem becomes more important due to mismatch of physical properties of materials joint. Because of this reason, temperature distribution must be known at these kind of joinings.In this study only the temperature distribution calculations around the joining zone were carried out. In the future step the thermal stress and residual stress distributions during and after joining process will be calculated. For this purpose steel-brass material couple were chosen and the materials as thin plates were hard-brazed. The joining parts of this material couple were heated upto hard- brazing temperature and then cooled in air. In this numeric study finite elements method was used and the programming language was chosen Fortran77. In modelling two dimensionel four nodes rectangular elements were selected.
Determination Of Yield Strenght of 2014 Aluminium Alloy under Aging Conditions by Means of Artifical Neural Networks Method
Authors: AtiK Enver , Meriç Cevdet , Karlik Bekir
Published: June 2016

As known, 2XXX and 7XXX Aluminum process alloys can have high strength values by means of precipitation hardening heat treatment. Determination of the precipitation hardening conditions which can give the most suitable strength values of an alloy, requires numerous tests. But the results of this process which require long time and high cost can be obtained in a shorter time and at a lower cost with less data by means of Artificial Neural Networks method. Since this method is used, less number of experiments and therefore less data is needed. Then other values are found by means of Artificial Neural Networks method.In this study, Artificial Neural Networks were educated with yield strength values of 2014 Aluminum alloy obtained at different aging times and at 150, 190, 232, and 260 °C after taken into solution at 500 °C. Afterwards, yield strengths of alloy at different temperatures weredetermined by means of Artificial Neural Networks method.
Reconstruction with Computerized Microwave Diffraction Tomography by Using Circular Measurement System in the Far-Field Region
Authors: Kent Sedef , Yazgan Bingül
Published: June 2016

This paper deals with far-field microwave imaging of a dielectric object satisfying the Born approximation. The results of computer simulations obtained with a circular measuring geometry are given. The computational efficiency of this method is also shown.
Minimum Permeance Estimation of Variable Reluctance Machines by Using Neural Networks
Authors: Mese Erkan
Published: June 2016

A new approach was studied in this paper to calculate minimum permeance (Pmin) of variable reluctance machines (VRM). Finite element method (FEM) and neural network (NN) were employed together for estimation. The data collected by an electromagnetic finite element software (Flux 2D) were used to train NN. Trained NN was tested by another data set which are not in the training data set. Total estimation error in the test set was observed less than 2.5%. A similar study was performed with the data set collected using flux tube analysis (FTA). In this case, much larger data set was constructed by FTA since this method allows to generate larger data set. After training NN by this data set, it was tested by a test set generated by FTA. The total estimation error was observed less than 5%.
Solving an EPQ Model with Rework and Service Level Constraint
Authors: Chiu Yuan-Shyi , Chiu Singa , Lin Hong-Dar
Published: June 2016

This paper examines an economic production quantity (EPQ) model with rework and service level constraint. First, we prove that the expected overall costs for an imperfect EPQ model with backlogging permitted is less than or equal to that of the one without backlogging. Secondly, the relationship between “imputed backorder cost” and maximal shortage level is derived for decision-making on whether the required service level is achievable. Then an equation for calculating the intangible backorder cost is proposed for situation when the required service level is not attainable. By including this intangible backorder cost in mathematical analysis, one can derive a new optimal lot-size policy that minimizes expected total costs as well as satisfies the maximal shortage level constraint for the EPQ model with rework. Numerical example is provided to demonstrate its practical usage.
Perturbative Derivation and Comparisons of Root-Finding Algorithms with Fourth Order Derivatives
Authors: Pakdemirli M. , Boyacı H. , Yurtsever H. A.
Published: June 2016

Perturbation theory is systematically used to generate root finding algorithms with fourth order derivatives. Depending on the number of correction terms in the perturbation expansion and the number of Taylor expansion terms, different root finding formulas can be generated. Expanding Taylor series up to fourth order derivatives and taking two, three and four correction terms in the perturbation expansions, three different root finding algorithms are derived. The algorithms are contrasted numerically with each other as well as with the Newton-Raphson algorithm. It is found that the quadruple-correction-term algorithm performs better than the others.
Differential Transformation Method for Solving Differential Equations of Lane-Emden Type
Authors: Ertürk V. S.
Published: June 2016

Using differential transformation method to solve the Lane-Emden equations as singular initial value problems is introduced in this study. Some numerical examples are presented to illustrate the efficiency and reliability of the method.
Step Based Geometric and Topological Similarity Assessment of Mechanical Parts
Authors: Çiçek Adem
Published: June 2016

In this paper, an approach has been developed to assess geometric and topological similarity between 3D mechanical parts using their face-edge relation matrices. The approach relies on the STEP (Standard for the Exchange of Product Data Model) graphic standard to obtain the geometric and topological data belonging to parts designed in a CAD system. The CAD model of any part is automatically translated into a STEP file and entities represented in the STEP file of it are mapped into face-edge relation matrix. Face-edge relation matrix is a square matrix and sized according to number of faces on a part. In the similarity assessment stage, the closest matrix in the database corresponding to matrix of the new part is retrieved and matched as matrix of the candidate part. Similarity factor between the new and candidate parts is calculated with respect to the matched faces and total faces in both matrices. Similarity assessment is useful for many CAD/CAM applications such as especially variant process planning, cost estimation and group technology. The algorithm has been applied to some real parts to demonstrate its efficiency and capability.
Mathematical Modeling of a SI Engine Cycle with Actual Air-Fuel Cycle Analyses
Authors: Sekmen Perihan , Sekmen Yakup
Published: June 2016

The performance of an engine whose basic design parameters are known can be predicted with the assistance of simulation programs into the less time, cost and near value of actual. However, inadequate areas of the current model can guide future research because the effects of design variables on engine performance can be determined before. In this study, thermodynamic cycle and performance analyses were simulated for various engine speeds (1800, 2400 ve 3600 1/min) and various excess air coefficients (EAC) (0.95-1.05) to crank shaft angle (CA) with 1 degree increment at full load and 8:1 constant compression ratio (CR) of a SI engine with four stroke, single cylinder and natural aspirated. Brake mean effective pressure, power, thermal efficiency, specific fuel consumption (sfc), etc engine performance parameters were calculated; the values of peak cylinder pressures and temperatures and positions of them were determined by the present program. Variations of these parameters with crank angle, engine speed and excess air coefficient were presented graphically. The calculated results show good agreement with literature. Simulation program is usable to set for varies load, compression ratios, and engine sizes.
Mathematical Solution of the Flow Field over Glycocalyx Inside Vascular System
Authors: Arslan Nurullah
Published: June 2016

Mathematical analysis of the the flow field over the glycocalyx located on the endothelial cells (EC) inside cardiovascular system was investigated. Two flow regions were considered. A core flow region which is located in the lumen of the vessel. The flow in this region is similar to Poiseuille flow seen inside the straight pipes. Flow region through the glycocalyx is located near the lumen wall. The flow in this region is considered as a flow through the porous media. Solutions are found in both regions and wall shear stresses (WSS) and drag force are calculated.
Differential Transform Technique for Solving Fifth-Order Boundary Value Problems
Authors: Ertürk Vedat , Momani Shaher
Published: June 2016

In this paper we apply the differential transform method for solving fifthorder boundary value problems. The analytical and numerical results of the equations have been obtained in terms of convergent series with easily computable components. Three examples are given to illustrate the efficiency and implementation of the present method. Comparisons are made to confirm the reliability of the method. Differential transform technique may be considered as alternative and efficient for finding the approximate solutions of the boundary values problems.
A Data Driven Parameter Estimation for the Three-Parameter Weibull Population from Censored Samples
Authors: Sultan Ahmed
Published: June 2016

A method is described for the calculation of the three-parameter Weibull distribution function from censored samples. The method introduces a data driven technique based on an adapted Gaussian like kernel to match the censoring scheme. The method minimizes the Cramer von Mises distance from a non-parametric density estimate and the parametric estimate at the order statistics. The maximum likelihood estimators are found and a comparison is made with the new estimator. A Monte Carlo experiment of size 1000 is conducted to test the performance of the new parameter estimation technique. The mean integrated square error is taken as a measure of the closeness of the estimated density and the true density.
Mathematical Method for Expediting Scrap-or-Rework Decision Making in EPQ Model with Failure in Repair
Authors: Chiu Singa Wang , Chen Kuang-Ku , Chang Huei-Hsin
Published: June 2016

This study uses a mathematical method to develop an efficient rule for expediting scrap-or-rework decision making in economic production quantity (EPQ) model with failure-in-repair. The expected overall production-inventory costs and the optimal lot sizes for EPQ models with/without rework process are derived and compared. With straightforward numerical derivations, this paper develops an efficient rule including the exact critical value of unit repair cost for each reworked item and its approximation equations, to assist in determining whether it is beneficial to rework the repairable items. Numerical example with sensitivity analysis and discussion are provided to demonstrate their practical usages.
Analysis of 24 Factorial Design for a Controllable M/G/1 System
Authors: Ke Jau-Chuan , Ko Ming Yang , Chiou Kuo-Ching
Published: June 2016

This paper presents a sensitivity investigation of the expected busy period for a controllable M/G/1 queueing system by means of a factorial design statistical analysis. We studies the effect of four important factors (parameters) that influence the expected busy period of an M/G/1 system, in which the server operates
-policy in his idle period. A 24 factorial experimental design is used to evaluate the sensitivity analysis of parameters on the expected busy period of a controllable M/G/1 queue. Based on the analysis of variance, we find the main effect and interaction effect of the significant factors on the system characteristics.
Verification of a 3-D Numerical Model for Spillway Aerator
Authors: Ozturk Mualla , Aydin M.
Published: June 2016

In this study, the results of CFD obtained by using Fluent with respect to the air entrainment at spillway aerators are compared to the data of the physical model study and the results of some empirical equations presented by other investigators. The air entrainment rates obtained from the CFD analyses are in reasonable good agreement with the values calculated by the empirical equations. However, the CFD results are better than the physical model data including considerable scale effects. The numerical verification procedure in this study is based on the ASME editorial policy statement, which provides a framework for computational fluid dynamics uncertainty analysis. So, the validation of the CFD model was discussed in this scope.
A Graphical User Interface for Programming Stepper Motors Used at Different Kinds of Applications
Authors: Altintas Ahmet
Published: June 2016

Stepper motors are a digital actuator whose input is in the form of programmed energization of the stator windings and whose output is in the form of discrete angular rotation. It is, therefore, ideally suited for use as an actuator in computer control systems, digital control systems and etc. Control systems employing stepper motors as actuators are known as incremental motion control systems. In this study both a GUI and a programming page driven from Matlab program are developed for programming and controlling different types of stepper motors at different drive modes. The parallel port of a PC is used to drive stepper motors. By means of this software, stepper motors having up to 8-separate-excitating signal can be programmable and controllable easily. In the software many different rotational motions are defined as built–in functions. In addition, it provides that the user can define new built-in functions, too. It can be, also, considered as a learning aid system for students to get a comprehensive understanding of stepper motors.
Linear Vibrations of Frames Carrying a Concentrated Mass
Authors: Özyiğit H.
Published: June 2016

The free and forced in-plane and out-of-plane vibrations of frames are investigated. The beam has a straight and a curved part. It has a circular cross-section. A concentrated mass is also located at different points of the frame with different mass ratios. FEM is used to analyze the problem. The in-plane and out-of-plane natural frequencies, point and transfer receptances of the system are obtained to determine the sensitive and non-sensitive frequency intervals depending on the location and direction of the force.
Classification of Helicobacter Pylori according to National Strains using Bayesian Learning
Authors: Karlık Bekir , Avcı Alpaslan , Yabanıgül A.
Published: June 2016

There is many studies about Helicobacter pylori genome and many instances of national strains are sequenced completely. To make a successful classification, the same functional portions have to be used a classifier like Bayesian Learning. Thus suitable genes will be used for classification since genes are portions that work functionally same. The cagA and vacA genes are selected for classification. cagA gene stands for ‘cytotoxin-associated protein A’ gene and vacA gene stands for ‘vacuolating cytotoxin precursor’ gene and these genes have a role of coding of these proteins. The reasons for selecting these genes are that these genes are the genes which affect the bacteria being a pathogen, Nucleotide numbers of these genes are higher than the most of other genes of bacteria, and these genes are the most popular genes of Helicobacter pylori. There are some instances of these genes which are classified with respect to national strains. The national strains are based on the nation of the host human. The cause of the difference on national strains is the difference of the cultural activities. If the national strain of a random Helicobacter pylori bacterium is known, the host human's nation can also be known approximately. The aim of this study is to classify Helicobacter pylori according to National strain using a well-know classification technique named Bayesian Learning.
Tibial Rotation Assessment Using Artificial Neural Networks
Authors: Çetiner B. Gültekin , Sarı Murat
Published: June 2016

Assessment of the tibial rotations by the conventional approaches is generally difficult. An investigation has been made in this study to assess the tibial motions based on the prediction of the effects of physical factors as well as a portion of tibial measurements by making use of Artificial Neural Networks (ANN). Therefore, this study aimed at the prediction of the relations between several physical factors and tibial motion measurements in terms of Artificial Neural Networks. These factors include gender, age, weight, and height. Data collected for 484 healthy subjects have been analyzed by Artificial Neural Networks. Promising results showed that the ANN has been found to be appropriate for modeling and simulation in the data assessments. The paper gives detailed results regarding the use of ANN for modeling tibial rotations in terms of physical factors. The study shows the feasibility of ANN to predict the behaviour of knee joints.
Neural Network Model for Moment-Curvature Relationship of Reinforced Concrete Sections
Authors: Bağcı Muhiddin
Published: June 2016

The analysis of moment-curvature relationship of reinforced concrete sections is complex due to large number of variables as well as non-linear material behavior involved. Artificial Neural Networks (ANNs) are found to be a tool capable of solving such problems. This has led to increasing use of ANN for analyzing the behavior of reinforced concrete sections. This paper reports the details of a study conducted using ANN for predicting moment-curvature relationship of a reinforced concrete section. Using data generated based on the analytical solutions, the ANN model was trained. The trained model was tested for a different set of input parameters and the output values were compared with the values based on analytical results. The agreement was found to be good.
The Investigation of Even-Even 114-120Xe Isotopes by the Framework of IBA
Authors: Maras Ismail , Gümüs Ramazan , Türkan Nurettin
Published: June 2016

In this work, the ground state, quasi beta and quasi gamma band energies of 114,116,118,120Xe isotopes have been investigated by using the both (IBM-1 and IBM-2) versions of interacting boson model (IBM). In calculations, the theoretical energy levels have been obtained by using PHINT and NP-BOS program codes. The presented results are compared with the experimental data in respective tables and figures. At the end, it was seen that the obtained theoretical results are in good agreement with the experimental data.
Ranking Decision Making Units with Stochastic Data by Using Coefficient of Variation
Authors: Lotfi F. , Nematollahi N. , Behzadi M.H. , Mirbolouki M.
Published: June 2016

Data Envelopment Analysis (DEA) is a non-parametric technique which is based on mathematical programming for evaluating the efficiency of a set of Decision Making Units (DMUs). Throughout applications, managers encounter with stochastic data and the necessity of having a method that is able to evaluate efficiency and rank efficient units has been under consideration. In this paper considering the concept of coefficient of variation among efficient DMUs, two ranking methods has been proposed. Within these ranking methods, a DMU will have a higher rank if it's coefficient of variation be smaller. These methods are suitable when managers are able to determine weights on coefficient of variations or on inputs and outputs. At the end we applied these methods on a numerical example.
A New Sorting Algorithm for Accelerating Join-Based Queries
Authors: Mathkour Hassan
Published: June 2016

The performance of several Database Management Systems (DBMSs) and Data Stream Management Systems (DSMSs) queries is dominated by the cost of the sorting algorithm. Sorting is an integral component of most database management systems. Stable sorting algorithms play an important role in DBMS queries since such operations requires stable sorting outputs. In this paper, we present a new stable sorting algorithm for internal sorting that scans an unsorted input array of length n and arranges it into m sorted sub-arrays. By using the m-way merge algorithm, the sorted m subarrays will be merged into the final output sorted array. The proposed algorithm keeps the stability of the keys intact. The scanning process requires linear time complexity (O(n)) in the best case, and O(n log m) in the worst case, and the m-way merge process requires O (n log m) time complexity. The proposed algorithm has a time complexity of O (n log m) element comparisons. The performed experimental results have shown that the proposed algorithm outperforms other stable sorting algorithms that are designed for join-based queries.
Vibration Analysis of Asymmetric-Plan Frame Buildings Using Transfer Matrix Method
Authors: Bozdogan Kanat , Ozturk Duygu
Published: June 2016

A method for vibration analysis of proportional asymmetric plan frame buildings is presented in this paper. The whole structure is idealized as an equivalent shear-torsion beam in this method. The governing differential equations of equivalent shear-torsion beam are formulated using continuum approach and posed in the form of simple storey transfer matrix. By using the storey transfer matrices and point transfer matrices which consider the inertial forces, system transfer matrix is obtained. Natural frequencies can be calculated by applying the boundary conditions. The structural properties of building may change in the proposed method. A numerical example has been solved at the end of study by a program written in MATLAB to verify the presented method. The results of this example display the agreement between the proposed method and the other valid method given in literature.
Free Vibration and Bending Analyses of Cantilever Microtubules Based on Nonlocal Continuum Model
Authors: Civalek Ömer , Demir Çiğdem , Akgöz Bekir
Published: June 2016

The equations of motion and bending of Euler-Bernoulli beam are formulated using the nonlocal elasticity theory for cantilever microtubules (MTs). The method of differential quadrature (DQ) has been used for numerical modeling. The size effect is taken into consideration using the Eringen’s non-local elasticity theory. Frequencies and deflections of MTs are obtained. Numerical results are presented to show the effect of small-scale effect on bending and vibration of MTs.
Ranking Extreme and Non-Extreme Efficient Decision Making Units in Data Envelopment Analysis
Authors: Jahanshahloo Golamreza , Lotfi Farhad , Shoja Naghi , Jelodar Mehdi , Abri Amir
Published: June 2016

In evaluating decision making units (DMU) by using Data Envelopment Analysis (DEA) technique, it happens that more than one unit got efficiency score one. In such a case there should be some criterion for ranking these DMUs. Up to now, all of DEA model could rank only extreme efficient units. In this paper the authors proposed a method for ranking extreme and non extreme efficient units.
Modified Variational Iteration Method for Schrodinger Equations
Authors: Mohyud-Din Syed , Noor Muhammad , Noor Khalida
Published: June 2016

In this paper, we apply the modified variational iteration method (MVIM) for solving Schrödinger equations. The proposed modification is made by introducing He’s polynomials in the correction functional of variational iteration method (VIM). The suggested iterative scheme finds the solution without any discretization, linearization or restrictive assumptions. The use of Lagrange multiplier coupled with He’s polynomials are the clear advantages of this technique over the decomposition method. Several examples are given to verify the reliability and efficiency of the proposed algorithm.
Coupling Drift-Flux Models with Unequal Sonic Speeds
Authors: Banda Mapundi , Herty Michael , Ngnotchouye Jean-Medard
Published: June 2016

The well-posedness of a Riemann problem at a junction in a pipeline network is discussed. In addition computational results on the dynamics of the flow of a multi-component gas at such network junctions are presented. The work presented here is a generalisation of [M. K. Banda, M. Herty, and J. M. T. Ngnotchouye, Towards a mathematical analysis of multiphase drift-flux model in networks, SIAM J. Sci. Comput., 31(6): 4633 – 4653, 2010] to models in which the equation of state has different compressibility factors or sonic speeds.
Lie Infinitesimal Conserved Quantities for Itô Stochastic ODEs
Authors: Fredericks E. , Mahomed F.M. , Masike K.
Published: June 2016

A methodology for constructing conserved quantities with Lie symmetry infinitesimals in an Itô integral context is pursued. The basis of this construction relies on Lie bracket relations on both the instantaneous drift and diffusion of an Itˆo stochastic ordinary differential equation (SODE).
Approximate First Integrals for a System of Two Coupled Van Der Pol Oscillators with Linear Diffusive Coupling
Authors: Naeem I. , Mahomed F.
Published: June 2016

The approximate partial Noether operators for a system of two coupled van der Pol oscillators with linear diffusive coupling are presented via a partial Lagrangian approach. The underlying system of two equations, in general, do not admit a standard Lagrangian. However, the approximate first integrals are constructed by utilization of the partial Noether’s theorem with the help of approximate partial Noether operators associated with a partial Lagrangian. These approximate partial Noether operators are not approximate symmetries of the system under study and they do not form an approximate Lie algebra. Moreover, we show how approximate first integrals can be constructed for perturbed ordinary differential equations (ODEs) without making use of a standard Lagrangian.
Conservation Laws and Conserved Quantities for Laminar Radial Jets with Swirl
Authors: Naz R. , Naeem I. , Mahomed F.M.
Published: June 2016

Conserved quantities play a central role in the solution of jet flow problems. A systematic way of deriving conserved quantities for the radial jets with swirl is presented. The multiplier approach is used to derive the conservation laws for the system of three boundary layer equations for the velocity components and for the system of two partial differential equations for the stream function. When the swirl is zero or at a large distance from the orifice (at infinity), the boundary layer equations for the radial jets with swirl reduce to those of the purely radial jets. The conserved quantities for the radial liquid, free and wall jets with swirl are derived by integrating the conservation laws across the jets.
Analytical Approach to Investigation of Deflection of Circular Plate Under Uniform Load by Homotopy Perturbation Method
Authors: Rostamiyan Yasser , Fereidoon A. , Davoudabadi M. , Yaghoobi H. , Ganji D.D.
Published: June 2016

In this paper Homotopy-Perturbation method (HPM) is introduced to obtain the approximate solution of the governing differential equation of deflection of thin circular plate under uniform loads with two different types of boundary conditions. The edge of the plate is either simply supported or clamped and the plate is assumed to be geometrically perfect. He's Homotopy-Perturbation method is implemented for solving the differential equations. From comparison the results obtained that HPM is very rapid convergence and it can be widely applicable in engineering and especially for the cases have not exact solution, this method can be used as semi-exact solution. The results for both types of boundary conditions were compared with the results obtained by finite element method and exact solution.
Variational Iteration Method for Delay Differential-Algebraic Equations
Authors: Liu Hongliang , Xiao Aiguo , Zhao Yongxiang
Published: June 2016

Variational iteration method is applied to solve a class of delay differential-algebraic equations. The obtained sequence of iteration is based on the use of Lagrange multipliers. The corresponding convergence results are obtained and successfully confirmed by some numerical examples.
Matematical Model for Yarn Unwinding from Packages
Authors: Praček Stanislav , Franci Sluga
Published: June 2016

Yarn unwinding from a package is important in many textile processes. The stability of the unwinding process has a direct influence on the efficiency of the process and on the quality of the end product. During the unwinding, the tension is oscillating. This is especially noticeable in over-end unwinding from a static package, where the yarn is being withdrawn with a high velocity in the direction of the package axis. The optimal form of the package allows an optimal shape of the yarn balloon and low and steady tension even at very high unwinding velocities.The purpose of this work is to write down the equations that describe the motion of yarn during unwinding and to construct a mathematical model whichwould permit to simulate the process of unwinding.