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Journal of Geriatric Cardiology 2022年第7期19卷 562-564页

作者： Hüseyin Ayhan Bilge Duran Karaduman Telat Keles emrah Uğuz Emre Boysan Engin Bozkurt Department of Cardiology Medicana International Ankara HospitalAtilim UniversityAnkaraTurkey Department of Cardiology Ankara City HospitalAnkara Yıldırım Beyazıt UniversityAnkaraTurkey Department of Cardiovascular Surgery Ankara City HospitalAnkara Yıldırım Beyazıt UniversityAnkaraTurkey Department of Cardiovascular Surgery Medicana International Ankara HospitalAnkaraTurkey Department of Cardiology Medicana International Ankara HospitalAnkaraTurkey

Since it was first acquainted to us in 2002,tr-anscatheter aortic valve implantation(TAVI)was rapidly applied and earned worldwide *** is the standard of care for patients with symptomatic severe aortic stenosis(AS),at in-termediate to high-risk and in some low-risk pa-tients in light of the recent data,principally if it can be performed transfemoral approach.

关键词： anesthesia aortic balloon

Weighted-exponential regression model:An alternative to the gamma regression model

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International Journal of Modeling, Simulation, and Scientific Computing 2019年第6期10卷 15-29页

作者： emrah Altun Department of Statistics Bartin University BartinTurkey

In this study,weighted-exponential regression model is proposed for modeling the right-skewed response variable as an alternative to the gamma regression *** maximum likelihood,method of moments,least-squares and weighted least-squares estimation methods are used to estimate unknown parameters of re-parametrized weightedexponential *** simulation study is conducted to compare the efficiencies of parameter estimation *** application on coalition duration dataset is given to demonstrate the usefulness of proposed regression model against the gamma regression *** residual analysis is performed to evaluate the accuracy of the fitted *** findings show that the weighted-exponential regression model provides better fits than the gamma regression model and could be a good choice for modeling the right-skewed response variable.

关键词： Weighted-exponential distribution maximum likelihood method of moments randomized quantile residuals gamma regression

Communication Scheduling and Remote Estimation With Adversarial Intervention

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 32-44页

作者： Xiaobin Gao emrah Akyol Tamer Basar the Coordinated Science Laboratory University of Illinois at Urbana-Champaign IEEE the Electrical and Computer Engineering Department The State University of New York at Binghamton

We study a communication scheduling and remote estimation problem within a worst-case scenario that involves a strategic adversary. Specially, a remote sensing system consisting of a sensor, an encoder and a decoder is configured to observe,transmit, and recover a discrete time stochastic process. At each time step, the sensor makes an observation on the state variable of the stochastic process. The sensor is constrained by the number of transmissions over the time horizon, and thus it needs to decide whether to transmit its observation or not after making each measurement. If the sensor decides to transmit,it sends the observation to the encoder, who then encodes and transmits the observation to the decoder. Otherwise, the sensor and the encoder maintain silence. The decoder is required to generate a real-time estimate on the state variable. The sensor,the encoder, and the decoder collaborate to minimize the sum of the communication cost for the sensor, the encoding cost for the encoder, and the estimation error for the decoder. There is also a jammer interfering with the communication between the encoder and the decoder, by injecting an additive channel noise to the communication channel. The jammer is charged for the jamming power and is rewarded for the estimation error generated by the decoder, and it aims to minimize its net cost. We consider a feedback Stackelberg game with the sensor, the encoder, and the decoder as the composite leader, and the jammer as the follower. Under some technical assumptions, we obtain a feedback Stackelberg solution, which is threshold based for the scheduler,and piecewise affine for the encoder and the decoder. We also generate numerical results to demonstrate the performance of the remote sensing system under the feedback Stackelberg solution.

关键词： Cyber physical security estimation game theory sensor networks

Antileishmanial activities of caffeic acid phenethyl ester loaded PLGA nanoparticles against Leishmania infantum promastigotes and amastigotes in vitro

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Asian Pacific Journal of Tropical Medicine 2017年第1期10卷 25-34页

作者： emrah Sefik Abamor Bioengineering Department Yildiz Technical UniversityEsenlerIstanbulTurkey

Objective: To investigate and compare the antileishmanial effects of CAPE and(CAPE)PLGA NPs on Leishmania infantum(***) promastigotes and amastigotes in vitro,Methods: Efficacies of CAPE,(CAPE)PLGA NPs and free PLGA nanoparticles(NPs) on promastigotes were evaluated using MTT and promastigote count assays,and their anti-amastigote effects were determined via infection index analysis,Griess reaction was also performed to calculate nitric oxide production of macrophages exposed to investigated molecules,Results: It was determined that CAPE and(CAPE)PLGA NPs demonstrated significant inhibitory effects on *** promastigotes and amastigotes,while free NPs did not exhibit any meaningful antileishmanial effectiveness,The IC50 values of CAPE for *** promastigotes and amastigotes were assessed as(51.0±0.8) and(19.0±1.4) μg/m L,respectively(P<0.05),On the other side,it was revealed that(CAPE)PLGA NPs had superior antileishmanial activity on both forms of parasites since its IC50 values for *** promastigotes and amastigotes were(32.0±1.3) and(8.0±0.9) μg/m L,respectively(P<0.05),It was also determined that both agents strongly stimulated nitric oxide production of macrophages,Conclusions: The obtained results show that(CAPE)PLGA NPs have a great potential to be especially used in treatment of visceral leishmaniasis; however,in vivo antileishmanial screening of these molecules should be performed in the near future.

关键词： Leishmania CAPE Nanoparticles PLGA Antileishmanial

ON THE m^(th) ORDER DIFFERENCE SEQUENCE SPACE OF GENERALIZED WEIGHTED MEAN AND COMPACT OPERATORS

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Acta Mathematica Scientia 2013年第3期33卷 797-813页

作者： Metin BASARIR emrah Evren KARA Department of Mathematics Sakarya University Department of Mathematics Bilecik Seyh Edebali University

In this article, using generalized weighted mean and difference matrix of order m, we introduce the paranormed sequence space l（u, v, p; △（m））, which consist of the sequences whose generalized weighted △（m）-difference means are in the linear space l（p） defined by ***. Also, we determine the basis of this space and compute its α-, β- and γ-duals. Further, we give the characterization of the classes of matrix mappings from l（u, v, p, △（m）） to l∞, c, and co. Finally, we apply the Hausdorff measure of noncompacness to characterize some classes of compact operators given by matrices on the space lp（U, v, △（m））（1 ≤ p 〈 ∞）.

关键词： Paranormed sequence spaces difference sequence spaces weighted mean α-,β, γ-duals, matrix mappings Hausdorff measure of noncompactness compactoperators

The assessment of structural changes on optic nerve head and macula in primary open angle glaucoma and ocular hypertension

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International Journal of Ophthalmology(English edition) 2018年第10期11卷 1631-1637页

作者： Kenan Dagdelen emrah Dirican Department of Ophthalmology Eskisehir Yunus Emre State Hospital Department of Ophthalmology Konya Training and Research Hospital

AIM：To assess morphological changes in macula, retinal nerve fiber layer （RNFL） and optic nevre head （ONH） of cases with primary open angle glaucoma （POAG） and ocular hypertension （OH） with spectral domain optic coherence tomography （OCT）.METHODS：This study included 109 eyes from 62 POAG patients, 50 eyes from 30 OH patients, and 101 eyes from 53 healthy volunteers. Data gained by OCT were compared with perimetry indexes. ONH, RNFL and macula analysis were performed for all subjects. Rim area, disc area,average cup/disc （C/D） ratio, vertical C/D ratio, cup volume data were recorded during ONH analysis. Average RNFL thickness and the thickness of four quadrants （superior,inferior, nasal and temporal） was established in *** total, nine macular quadrants involving the foveal region mentioned in the Early Treatment Diabetic Treatment Study（ETDRS） template were measured, and average macular thickness and macular volume data were recorded during macula analysis. Differences between groups were evaluated with the one-way ANOVA test. Tukey’s multiple comparison test was performed to detect difference between ***-operating characteristic （ROC） analysis was done for early stage POAG patients to establish sensitivity and specificity of chosen parameters in early stage *** under the receiver operating characteristic （AUROC）values were calculated to compare ROC ***：Statistically significant differences were found in all ONH parameters, except optic disc area. Neuroretinal rim area was identified as the parameter with the highest difference between groups （F=21.72, P〈0.05）. The highest correlation between ONH parameters and perimetry was observed at neuroretinal rim region （r=0.487）. Inferior RNFL thickness was established as the parameter with the highest difference between groups among RNFL parameters. In the mean of all glaucoma patients, the highest correlation between data handled with OCT and mean deviation was observed in RNFL thickness.

关键词： glaucoma ocular hypertension optic coherence tomography

New Wave Solutions of Time-Fractional Coupled Boussinesq–Whitham–Broer–Kaup Equation as A Model of Water Waves

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China Ocean Engineering 2019年第4期33卷 477-483页

作者： emrah ATILGAN Mehmet SENOL Ali KURT Orkun TASBOZAN Department of Management Informatics Systems Mustafa Kemal University Hatay Turkey Department of Mathematics Nevsehir Haci Bektas Veli University Nevsehir Turkey Department of Mathematics Pamukkale University Denizli Turkey Department of Mathematics Mustafa Kemal University Hatay Turkey

The main purpose of this paper is to obtain the wave solutions of conformable time fractional Boussinesq–Whitham–Broer–Kaup equation arising as a model of shallow water waves. For this aim, the authors employed auxiliary equation method which is based on a nonlinear ordinary differential equation. By using conformable wave transform and chain rule, a nonlinear fractional partial differential equation is converted to a nonlinear ordinary differential equation. This is a significant impact because neither Caputo definition nor Riemann–Liouville definition satisfies the chain rule. While the exact solutions of the fractional partial derivatives cannot be obtained due to the existing drawbacks of Caputo or Riemann–Liouville definitions, the reliable solutions can be achieved for the equations defined by conformable fractional derivatives.

关键词： time fractional coupled Boussinesq–Whitham–Broer–Kaup equation conformable fractional derivative auxiliary equation method

A framework for ICT-enabled real-time production planning and control

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Advances in Manufacturing 2014年第2期2卷 158-164页

作者： emrah Arica Daryl J.Powell Department of Production and Quality Engineering Norwegian University of Science and TechnologyTrondheimNorway

This paper aims to develop a conceptual framework for real-time production planning and control（PPC）.Firstly,we discuss the most prominently applied contemporary information and communication technologies for *** resource planning（ERP） systems that integrate the value chain in an enterprise,manufacturing execution systems that manage and control the production on shopfloor,and advanced planning and scheduling（APS）systems that develop solutions for complex planning problems are the planning and control systems that have been *** emphasize the application of radio frequency identification as the most advanced and promising emerging real-time data capture technology that is currently available to *** analyzed the features and shortcomings of the individual systems perse,and by considering the advantages that may be realized through effective integration of these otherwise discrete systems,we propose a framework for real-time PPC.

关键词： Enterprise resource planning(ERP) Manufacturing execution systems(MES) Advanced planning and scheduling(APS) Radio frequency identification(RFID) Production planning and control(PPC)

Clustering Seismic Activities Using Linear and Nonlinear Discriminant Analysis

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Journal of Earth Science 2014年第1期25卷 140-145页

作者： H Serdar Kuyuk Eray Yildirim emrah Dogan Gunduz Horasan Department of Civil Engineering Faculty of EngineeringSakarya University Department of Geophysical Engineering Faculty of EngineeringSakarya University

Identification and classification of different seismo-tectonic events with similar character- istics in a region of interest is one of the most important subjects in seismic hazard studies. In this study, linear and nonlinear discriminant analyses have been applied to classify seismic events in the vicinity of Istanbul. The vertical components of the digital velocity seismograms are used for seismic events with magnitude （Md） between 1.8 and 3.0 that occurred between 2001 and 2004. Two, time dependent pa- rameters, complexity and S/P peak amplitude ratio are selected as predictands. Linear, quadratic, diag- linear and diagquadratic discriminant functions are investigated. Accuracy of methods with an addi- tional adjusted quadratic models are 96.6%, 96.6%, 95.5%, 96.6%, and 97.6%, respectively with a vari- ous misclassified rate for each class. The performances of models are justified with cross validation and resubstitution error. Although all models remarkably well performed, adjusted quadratic function achieved the best success rate with just 4 misclassified events out of 179, even better compared to com- plex methods such as, self organizing method, k-means, Gaussion mixture models that applied to same dataset in literature.

关键词： discriminant analysis clustering analysis self organizing map k-means Gaussion mix- ture models.

Modeling and forecasting time series of precious metals:a new approach to multifractal data

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Financial Innovation 2019年第1期5卷 407-434页

作者： emrah Oral Gazanfer Unal Faculty of Economy and Administrative Sciences Istanbul Aydin UniversityIstanbulTurkey Faculty of Economics Administrative and Social SciencesBahcesehir UniversityIstanbulTurkey

We introduce a novel approach to multifractal data in order to achieve transcended modeling and forecasting performances by extracting time series out of local Hurst exponent calculations at a specified ***,the long range and co-movement dependencies of the time series are scrutinized on time-frequency space using multiple wavelet coherence ***,the multifractal behaviors of the series are verified by multifractal de-trended fluctuation analysis and its local Hurst exponents are ***,root mean squares of residuals at the specified scale are procured from an intermediate step during local Hurst exponent *** internally calculated series have been used to estimate the process with vector autoregressive fractionally integrated moving average(VARFIMA)model and forecasted *** our study,the daily prices of gold,silver and platinum are used for *** results have shown that all metals do behave in phase movement on long term periods and possess multifractal ***,the intermediate time series obtained during local Hurst exponent calculations still appertain the co-movement as well as multifractal characteristics of the raw data and may be successfully re-scaled,modeled and forecasted by using VARFIMA ***,VARFIMA model have notably surpassed its univariate counterpart(ARFIMA)in all efficacious trials while re-emphasizing the importance of comovement procurement in *** study’s novelty lies in using a multifractal de-trended fluctuation analysis,along with multiple wavelet coherence analysis,for forecasting purposes to an extent not seen *** results will be of particular significance to finance researchers and practitioners.

关键词： Continuous wavelet transform Multiple wavelet coherence Multifractal de-trended fluctuation analysis Vector autoregressive fractionally integrated moving average Forecast