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Computers, Materials & Continua 2022年第7期72卷 2093-2107页

作者： Mehmet Murat Huyut Batuhan Kocaoglu Ünzile Meram Kuveyt Türk Participation Bank R&D CenterKocaeli41420Turkey Piri Reis university MIS DepartmentIstanbul34940Turkey Management Engineering Department Bahcesehir UniversityIstanbul34353Turkey

Regulatory authorities create a lot of legislation that must be followed.These create complex compliance requirements and time-consuming processes to find regulatory non-compliance.While the regulations establish rules in the relevant areas,recommendations and best practices for compliance are not generally mentioned.Best practices are often used to find a solution to this problem.There are numerous governance,management,and security frameworks in Information Technology(IT)area to guide businesses to run their processes at a much more mature level.Best practice maps can used to map another best practice,and users can adapt themselves by the help of this relation maps.These maps are created generally by an expert judgment or topdown relationship analysis.These methods are subjective and easily creates inconsistencies.In order to have an objective and statistical relationships map,we propose a Latent Semantic Analysis(LSA)based modal to generate a specific relatedness correlation map.We created a relatedness map of a banking regulation to a best practice.We analyzed 224 statements of this regulation in relation to Control Objectives for Information Technologies(Cobit)2019’s 1202 activities.Furthermore,we support our LSA results with MCDM analysis methods;Fuzzy Analytics Hierarchy Process(FAHP)to prioritize our criteria and,WASPAS(Weighted Aggregated Sum Product Assessment Method)to compare similarity results of regulation and Cobit activity pairs.Instead of the subjective methods for mapping best practices and regulations,this study suggests creating relatedness maps supported by the objectivity of LSA.

关键词： It compliance LSA it regulation Cobit fuzzy AHP WASPAS

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Swarming Computational Approach for the Heartbeat Van Der Pol Nonlinear System

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Computers, Materials & Continua 2022年第9期72卷 6185-6202页

作者： Muhammad Umar Fazli Amin Soheil Salahshour Thongchai Botmart Wajaree Weera Prem Junswang Zulqurnain Sabir Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

The present study is related to design a stochastic framework for the numerical treatment of the Van der Pol heartbeat model(VP-HBM)using the feedforward artificial neural networks(ANNs)under the optimization of particle swarm optimization(PSO)hybridized with the active-set algorithm(ASA),i.e.,ANNs-PSO-ASA.The global search PSO scheme and local refinement of ASA are used as an optimization procedure in this study.An error-based merit function is defined using the differential VP-HBM form as well as the initial conditions.The optimization of the merit function is accomplished using the hybrid computing performances of PSO-ASA.The designed performance of ANNs-PSO-ASA is implemented for the numerical treatment of the VP-HBM dynamics by fluctuating the pulse shape adjustment terms,external forcing factor and damping coefficient with fixed ventricular contraction period.To perform the correctness of the present scheme,the obtained numerical results through the designed ANN-PSO-ASA will be compared with the Adams numerical method.The statistical investigations with larger dataset are provided using the“mean absolute deviation”,“Theil’s inequality coefficient”and“variance account for”operators to perform the applicability,reliability,and effectiveness of the designed ANNs-PSO-ASA scheme for solving the VP-HBM.

关键词： Particle swarm optimization van der Pol heartbeat system statistical analysis artificial neural networks active-set algorithm numerical computing

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Acupuncture Enhances Chances of Pregnancy in Unexplained Infertile Patients Who Undergo A Blastocyst Transfer in A Fresh-Cycle

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Chinese Journal of Integrative Medicine 2019年第4期25卷 298-302页

作者： Hakan ?oksüer Mert Ula Barut Murat BozkurT Elif Agacayak Sibel Sak Mustafa Demir Eray Cal?skan Diyarlife IVF Center Department of Obstetrics and Gynecology Harran university School of Medicine Department of Obstetrics and Gynecology bahcesehir university Department of Obstetrics and GynecologyVM Medikalpark Pendik Hospital Dicle university School of Medicine Department of Obstetrics and Gynecology bahcesehir university Department of Obstetrics and Gynecology

Objective: To analyze the effects of acupuncture on in vitro fertilization patients with unexplained infertility.Methods: We retrospectively analyzed the charts of a total of 302 cycles performed in 273 patients attending Assisted Reproductive Technology(ART) Centre from August 2013 to August 2016.During the study period,embryo transfer with acupuncture(Acupuncture group,46 cases) and without acupuncture(Control group,42 cases) were applied.Prior to embryo transfer,the following points were used in the acupuncture group: Neiguan(CX 6),Diji(SP 8),Taichong(Liv 3),Baihui(Gv 20),and Guilai(S 29).These sessions were carried out two times before and after embryo transfer in a single day.In addition,auricular acupuncture was also performed at ear points,including ear point 55(Shenmen),ear point 58(Zhigong),ear point 22(Neifenmi)and ear point 34(Naodian).The biochemical pregnancy rate and clinical pregnancy rate after transplantation were compared between two groups.Results: The clinical pregnancy rate in the acupuncture group was higher than that in the control group [60.9%(28/46) vs.33.3%(14/42),respectively,P<0.05].Likewise,the live birth rate in the acupuncture group was also higher than that in the control group [71.7%(33/46) vs.31.0%(12/42),P<0.01).Conclusion: Administration of acupuncture on the day of embryo transfer dramatically improved fertility results in women who underwent in vitro fertilization/intra-cytoplasm sperm injection for reproduction.

关键词： acupuncture assisted reproduction embryo transfer pregnancy rate

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The Sharma-Tasso-Olver-Burgers equation:its conservation laws and kink solitons

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Communications in Theoretical Physics 2022年第2期74卷 1-8页

作者： K Hosseini A Akbulut D Baleanu S Salahshour Department of Mathematics Near East University TRNCMersin 10Turkey Department of Mathematics-Computer Art-Science FacultyEskisehir Osmangazi UniversityEskisehirTurkey Department of Mathematics Faculty of Arts and SciencesCankaya UniversityAnkara 06530Turkey Institute of Space Sciences Magurele-BucharestRomania Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey

The present paper deals with the Sharma-Tasso-Olver-Burgers equation(STOBE)and its conservation laws and kink solitons.More precisely,the formal Lagrangian,Lie symmetries,and adjoint equations of the STOBE are firstly constructed to retrieve its conservation laws.Kink solitons of the STOBE are then extracted through adopting a series of newly well-designed approaches such as Kudryashov and exponential methods.Diverse graphs in 2 and 3D postures are formally portrayed to reveal the dynamical features of kink solitons.According to the authors’knowledge,the outcomes of the current investigation are new and have been listed for the first time.

关键词： Sharma-Tasso-Olver-Burgers equation conservation laws Kudryashov and exponential methods kink solitons dynamical features

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Novel Computing for the Delay Differential Two-Prey and One-Predator System

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Computers, Materials & Continua 2022年第10期73卷 249-263页

作者： Prem Junsawang Zulqurnain Sabir Muhammad Asif Zahoor Raja Soheil Salahshour Thongchai Botmart Wajaree Weera Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliou64002Taiwan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

The aim of these investigations is to find the numerical performances of the delay differential two-prey and one-predator system.The delay differential models are very significant and always difficult to solve the dynamical kind of ecological nonlinear two-prey and one-predator system.Therefore,a stochastic numerical paradigm based artificial neural network(ANN)along with the Levenberg-Marquardt backpropagation(L-MB)neural networks(NNs),i.e.,L-MBNNs is proposed to solve the dynamical twoprey and one-predator model.Three different cases based on the dynamical two-prey and one-predator system have been discussed to check the correctness of the L-MBNNs.The statistic measures of these outcomes of the dynamical two-prey and one-predator model are chosen as 13%for testing,12%for authorization and 75%for training.The exactness of the proposed results of L-MBNNs approach for solving the dynamical two-prey and onepredator model is observed with the comparison of the Runge-Kutta method with absolute error ranges between 10−05 to 10−07.To check the validation,constancy,validity,exactness,competence of the L-MBNNs,the obtained state transitions(STs),regression actions,correlation presentations,MSE and error histograms(EHs)are also provided.

关键词： Delay differential model dynamical system prey-predator Levenberg-Marquardt backpropagation MSE neural networks

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An Advanced Stochastic Numerical Approach for Host-Vector-Predator Nonlinear Model

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Computers, Materials & Continua 2022年第9期72卷 5823-5843页

作者： Prem Junswang Zulqurnain Sabir Muhammad Asif Zahoor Raja Soheil Salahshour Thongchai Botmart Wajaree Weera Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliouYunlin64002Taiwan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

A novel design of the computational intelligent framework is presented to solve a class of host-vector-predator nonlinear model governed with set of ordinary differential equations.The host-vector-predator nonlinear model depends upon five groups or classes,host plant susceptible and infected populations,vectors population of susceptible and infected individuals and the predator population.An unsupervised artificial neural network is designed using the computational framework of local and global search competencies of interior-point algorithm and genetic algorithms.For solving the hostvector-predator nonlinear model,a merit function is constructed using the differential model and its associated boundary conditions.The optimization of this merit function is performed using the computational strength of designed integrated heuristics based on interior point method and genetic algorithms.For the comparison,the obtained numerical solutions of networks models optimized with efficacy of global search of genetic algorithm and local search with interior point method have been compared with the Adams numerical solver based results or outcomes.Moreover,the statistical analysis will be performed to check the reliability,robustness,viability,correctness and competency of the designed integrated heuristics of unsupervised networks trained with genetic algorithm aid with interior point algorithm for solving the biological based host-vector-predator nonlinear model for sundry scenarios of paramount interest.

关键词： Nonlinear host-vector-predator system adams results global/local search methods optimization neural networks statistical analysis

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Numerical Procedure for Fractional HBV Infection with Impact of Antibody Immune

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Computers, Materials & Continua 2023年第2期74卷 2575-2588页

作者： Sakda Noinang Zulqurnain Sabir Muhammad Asif Zahoor Raja Soheil Salahshour Wajaree Weera Thongchai Botmart Department of Mathematics Statistics and Computer Faculty of ScienceUbon Ratchathani UniversityUbon Ratchathani34190Thailand Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliouYunlin64002Taiwan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbul34494Turkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

The current investigations are presented to solve the fractional order HBV differential infection system(FO-HBV-DIS)with the response of antibody immune using the optimization based stochastic schemes of the Levenberg-Marquardt backpropagation(LMB)neural networks(NNs),i.e.,LMBNNs.The FO-HBV-DIS with the response of antibody immune is categorized into five dynamics,healthy hepatocytes(H),capsids(D),infected hepatocytes(I),free virus(V)and antibodies(W).The investigations for three different FO variants have been tested numerically to solve the nonlinear FO-HBV-DIS.The data magnitudes are implemented 75%for training,10%for certification and 15%for testing to solve the FO-HBV-DIS with the response of antibody immune.The numerical observations are achieved using the stochastic LMBNNs procedures for soling the FO-HBV-DIS with the response of antibody immune and comparison of the results is presented through the database Adams-Bashforth-Moulton approach.To authenticate the validity,competence,consistency,capability and exactness of the LMBNNs,the numerical presentations using the mean square error(MSE),error histograms(EHs),state transitions(STs),correlation and regression are accomplished.

关键词： Fractional order HBV differential infection system artificial neural networks nonlinear Levenberg-Marquardt backpropagation Adams-Bashforth-Moulton

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On some novel solution solutions to the generalized Schrödinger-Boussinesq equations for the interaction between complex short wave and real long wave envelope

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Journal of Ocean Engineering and Science 2022年第4期7卷 353-362页

作者： Dipankar Kumar Kamyar Hosseini Mohammed K.A.Kaabar Melike Kaplan Soheil Salahshour Department of Mathematics Bangabandhu Sheikh Mujibur Rahman Science&Technology UniversityGopalganj 8100Bangladesh Department of Mathematics Rasht BranchIslamic Azad UniversityRashtIran Institute of Mathematical Sciences Faculty of ScienceUniversity of MalayaKuala Lumpur 50603Malaysia Department of Mathematics Art-Science FacultyKastamonu UniversityKastamonuTurkey Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey

This paper explores some novel solutions to the generalized Schrödinger-Boussinesq(gSBq)equations,which describe the interaction between complex short wave and real long wave envelope.In order to derive some novel complex hyperbolic and complex trigonometric function solutions,the sine-Gordon equation method(sGEM)is applied to the gSBq equations.Novel complex hyperbolic and trigonometric function solutions are expressed by the dark,bright,combo dark-bright,W-shaped,M-shaped,singular,combo singular,and periodic wave solutions.The accuracy of the explored solitons is examined under the back substitution to the corresponding equations via the symbolic computation software Maple.It is found from the back substitution outcomes that all soliton solutions satisfy the original equations.The proper significance of the explored outcomes is demonstrated by the three-dimensional(3D)and two-dimensional(2D)graphs,which are presented under the selection of particular values of the free parameters.All the combo-soliton(W-shaped,M-shaped,and periodic wave)solutions are found to be new for the interaction between complex short wave and real long wave envelope in laser physics that show the novelty of the study.Moreover,the applied method provides an efficient tool for exploring novel soliton solutions,and it overcomes the complexities of the solitary wave ansatz method.

关键词： Generalized Schrödinger-Boussinesq equations Sine-Gordon expansion method Soliton solutions

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Is every microorganism detected in the intensive care unit a nosocomial infection?Isn’t prevention more important than detection?

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World Journal of Clinical Cases 2022年第20期10卷 7184-7186页

作者： Fatma Yildirim Irem Karaman Mehmet Yildirim Department of Pulmonary Disease and Critical Care Medicine Pulmonary Intensive Care UnitUniversity of Health SciencesDışkapıYıldırım Beyazıt Training and Research HospitalAnkara 06110Turkey School of Medicine Bahcesehir UniversityIstanbul 34740Turkey Department of Internal Medicine Internal Medicine Intensive Care UnitUniversity of Health SciencesDışkapıYıldırım Beyazıt Training and Research HospitalAnkara 06110Turkey

The present letter to the editor is related to the study entitled“Multidrug-resistant organisms in intensive care units and logistic analysis of risk factors.”Not every microorganism grown in samples taken from critically ill patients can be considered as an infectious agent.Accurate and adequate information about nosocomial infections is essential in introducing effective prevention programs in hospitals.Therefore,the development and implementation of care bundles for frequently used medical devices and invasive treatment devices(e.g.,intravenous catheters and invasive ventilation),adequate staffing not only for physicians,nurses,and other medical staff but also for housekeeping staff,and infection surveillance and motivational feedback are key points of infection prevention in the intensive care unit.

关键词： Critical care Prevention Intensive care unit Nosocomial infection Detection

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Investigation of perceived stress and psychological well-being in liver recipients having immunosuppressive therapy

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iLIVER 2023年第1期2卷 10-15页

作者： Semra Bulbuloglu Pınar Harmanci Fatma Eti Aslan Division of Surgical Nursing Nursing DepartmentFaculty of Health SciencesIstanbul Aydin UniversityIstanbulTurkey Division of Psychiatry Nursing Nursing DepartmentFaculty of Health SciencesKahramanmaras Istiklal UniversityKahramanmarasTurkey Division of Surgical Nursing Nursing DepartmentFaculty of Health SciencesIstanbul Bahcesehir UniversityIstanbulTurkey

Background and aims:In this study,the relationship between perceived stress and psychological well-being was analyzed in liver transplant recipients having immunosuppressive therapy.Methods:This study was performed as descriptive research with 134 patients who had liver transplantation at the organ transplantation institute of a training and research hospital(n?134).The Perceived Stress Scale and the Psychological Well-Being Scale were used for the data collection.The research data were analyzed by using the Statistical Package for Social Science 25.0.Results:Of all participant liver transplant recipients,22.4%were aged 18–27 years and 48–57 years and 80.6%were males.Besides,the participant liver transplant recipients used immunosuppressive drugs such as prednisolone(92.53%),tacrolimus(61.9%),and mycophenolate mofetil(52.98%).It was found that there was a statistically significant relationship between psychological well-being and perceived stress.Conclusion:In this study,it was discerned that perceived stress affected psychological well-being negatively.It is of importance to realize the stress experienced by liver transplant recipients and enhance their psychological wellbeing.In the process following transplant surgery,the liver transplant recipients should be carefully followed and efforts to improve patient outcomes should be made.

关键词： Immunosuppressive Transplantation Stress Psychological well-being Liver recipients

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