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Major complications of adult right lobe living liver donors

Hepatobiliary & Pancreatic Diseases International 2015年第2期14卷 150-156页

作者： Necdet Guler Onur Yaprak Yusuf Gunay murat Dayangac murat Akyildiz Fisun Yuzer Yildiray Yuzer Yaman Tokat Liver Transplantation Center Florence Nightingale Hospital

BACKGROUND：The right lobe of the liver is generally preferred for living donor liver transplantation in adult patients with end-stage liver *** is important to know the preoperative factors relating to the major postoperative *** therefore evaluated the possible risk factors for predicting postoperative complications in right lobe liver ***：Data from 378 donors who had undergone right lobe hepatectomy at our center were evaluated retrospectively. The factors we evaluated induded donor age, gender, body mass index （BMI）, remnant liver volume, operation time, history of previous abdominal surgery, inclusion of the middle hepatic vein and variations in the portal and bile systems. RESUEI＇S： Of the 378 donors, 219 were male and 159 female. None of the donors died, but 124 （32.8%） donors experienced complications including major complications （Clavien scores III and IV） in 27 （7.1%）. Univariate analysis showed that complica- tions were significantly associated with male gender and higher BMI （P〈0.05）, but not with donor age, remnant liver volume, operation time, graft with middle hepatic vein, variations in the portal and bile systems and previous abdominal surgery （P〉0.05）. Multivariate logistic regression analysis showed that major complications were significantly associated with male gender （P=0.005） and higher BMI （P=0.029）. Moreover, the Chi- square test showed that there were significant relationships between major complications and male gender （P=0.010,Z2=6.614, df=l） and BMI 〉25 kg/m2 （P=-0.031, Z2=8.562, df-1）. Of the 96 male donors with BMI 〉25 kg/m2, 14 （14.6%） with major complications had significantly smaller mean remnant liver volume than those （82, 85.4%） without major complications （32.50%± 4.45% vs 34.63%±3.11%, P=0.029）.CONCLUSION： Male donors with BMI 〉25 kg/m2 and a remnant liver volume 〈32.50% had a significantly increased risk for major complications.

关键词： living donor right lobe liver donor major complications risk factors

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Novel Approach to Minimize the Memory Requirements of Frequent Subgraph Mining Techniques

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Chinese Journal of Electronics 2021年第2期30卷 258-267页

作者： B?LG?N Turgay Tugay O?UZ murat Department of Computer Engineering Bursa Technical University Microsoft Corporation Turkey Branch

Frequent subgraph mining(FSM) is a subset of the graph mining domain that is extensively used for graph classification and clustering. Over the past decade, many efficient FSM algorithms have been developed with improvements generally focused on reducing the time complexity by changing the algorithm structure or using parallel programming techniques. FSM algorithms also require high memory consumption, which is another problem that should be solved. In this paper, we propose a new approach called Predictive dynamic sized structure packing(PDSSP) to minimize the memory needs of FSM algorithms. Our approach redesigns the internal data structures of FSM algorithms without making algorithmic modifications. PDSSP offers two contributions. The first is the Dynamic Sized Integer Type, a newly designed unsigned integer data type, and the second is a data structure packing technique to change the behavior of the compiler. We examined the effectiveness and efficiency of the PDSSP approach by experimentally embedding it into two state-of-the-art algorithms, g Span and *** compared our implementations to the performance of the originals. Nearly all results show that our proposed implementation consumes less memory at each support level, suggesting that PDSSP extensions could save memory, with peak memory usage decreasing up to 38% depending on the dataset.

关键词： File organisation Data handling techniques Combinatorial mathematics Frequent Subgraphs Data Mining Memory Space Complexity

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Assessing vulnerability of a forest ecosystem to climate change and variability in the western Mediterranean sub-region of Turkey

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Journal of Forestry Research 2018年第3期29卷 704-720页

作者： Orkan Ozcan Nebiye Musaoglu murat Tuükes Eurasia Institute of Earth Sciences Istanbul Technical UniversityMaslak34469 IstanbulTurkey Geomatics Engineering Department Civil Engineering FacultyIstanbul Technical UniversityMaslak34469 IstanbulTurkey Center for Climate Change and Policy Studies Bogazici UniversityBebek34342 IstanbulTurkey

Climate change is a real, pressing and significant global problem. The concept of ‘climate change vulnerability’ helps us to better comprehend the cause/effect relationships behind climate change and its impact on human societies, socioeconomic sectors, and physiographical and ecological systems. In this study, multifactorial spatial modelling evaluated the vulnerability of a Mediterranean forest ecosystem to climate change and variability with regard to land degradation. This produced data and developed tools to support better decision-making and management. As a result, the geographical distribution of Environmental Vulnerability Areas(EVAs) of the forest ecosystem is the estimated Environmental Vulnerability Index(EVI) values. These revealed that, at current levels of environmental degradation, physical, geographical, policy enforcement, and socioeconomic conditions, the area with a ‘‘very low’’ degree of vulnerability covered mainly the town, its surrounding settlements and agricultural lands found principally over the low, flat travertine plateau and the plains to the east and southeast of the district. The spatial magnitude of the EVAs of the forest ecosystem under current environmental degradation was also determined. This revealed that the EVAs classed as ‘‘very low’’accounted for 21% of the area of the forest ecosystem,those classed as ‘‘low’’ for 36%, those classed as ‘‘medium’’ for 20%, and those classed as ‘‘high’’ for 24%.

关键词： Mediterranean climate Forest ecosystem Land degradation Vulnerability analysis

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Influence of Temperatures on the Tautomerism of the N-（1H- Imidazoline-2-yl）-lH-benzimidazol-2-amine and Investigation of Its Electrochemical Behaviour

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Chinese Journal of Chemistry 2012年第2期30卷 400-404页

作者： Servi, Suleyman Genc, murat Saydam, Sinan Department of Chemistry Faculty of Science University of Firat TR-23119 Elazig Turkey Department of Chemistry Faculty of Science and Art University of Adiyaman TR-02040Adiyaman Turkey

Synthesis of N-（1H-imidazoline-2-yl）-lH-benzimidazol-2-amine was carried out under microwave irradiation （MWI） conditions. Dynamic 1H NMR investigation of N-（lH-imidazoline-2-yl）-lH-benzimidazol-2-amine compound was reported at temperature range of 223--333 K in DMF-d7. Some physical parameters, such as coalescence temperature （Tc）, the free energy of activation （△G＊） and rate constant （k） values were calculated from its IH NMR spectra at various temperatures. Electrochemical feature of this compound was investigated by cyclic （CV） and square wave voltammetry （SWV）.

关键词： benzimidazole tautomerism dynamic NMR cyclic voltammetry

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Assessing the vulnerability of a forest ecosystem to climate change and variability in the western Mediterranean sub-region of Turkey：future evaluation

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Journal of Forestry Research 2018年第5期29卷 1177-1186页

作者： murat Türkes Nebiye Musaoglu Orkan Ozcan Center for Climate Change and Policy Studies Bogazici University 34342 Bebek Istanbul Turkey Geomatics Engineering Department Civil EngineeringFaculty Istanbul Technical University34469 Maslak Istanbul Turkey Eurasia Institute of Earth Sciences Istanbul TechnicalUniversity 34469 Maslak Istanbul Turkey

This study evaluates the multifactorial spatial modelling used to assess vulnerability of the Du¨ zlerc？am？（Antalya） forest ecosystem to climate *** was done to produce data,to develop tools to support decisionmaking and the management of vulnerable Mediterranean forest ecosystems affected by climate change,and to increase the ability of these forest ecosystems to adapt to global *** on regionally averaged future climate assessments and projected climate indicators,both the study site and the western Mediterranean sub-region of Turkey will probably become associated with a drier,hotter,more continental and more water-deficient *** analysis holds true for all future scenarios,with the exception of RCP4.5 for the period from 2015 to ***,the present dry-sub humid climate dominating this sub-region and the study area shows a potential for change towards more dry climatology and for it to become semiarid between 2031 and 2050 according to the RCP8.5 high emission *** the observed and estimated results and assessments summarized in this study show clearly that the densest forest ecosystem in the southern part of the study site,characterized by mainly Mediterranean coniferous and some mixed forest and maquis vegetation,will very likely be influenced by medium and high degrees of vulnerability to future environmental degradation,climate change and variability.

关键词： Forest ecosystem RCP scenarios Regional climate model Vulnerability

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A New Hybrid Approach Using GWO and MFO Algorithms to Detect Network Attack

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1277-1314页

作者： Hasan Dalmaz Erdal Erdal Halil muratünver Department of Computer Engineering Faculty of Engineering and ArchitectureKırıkkale UniversityKırıkkale71450Turkey

This paper addresses the urgent need to detect network security attacks,which have increased significantly in recent years,with high accuracy and avoid the adverse effects of these *** intrusion detection system should respond seamlessly to attack patterns and *** use of metaheuristic algorithms in attack detection can produce near-optimal solutions with low computational *** achieve better performance of these algorithms and further improve the results,hybridization of algorithms can be used,which leads to more successful ***,many studies are conducted on this *** this study,a new hybrid approach using Gray Wolf Optimizer(GWO)and Moth-Flame Optimization(MFO)algorithms was developed and applied to widely used data sets such as NSL-KDD,UNSW-NB15,and CIC IDS 2017,as well as various benchmark *** ease of hybridization of the GWO algorithm,its simplicity,its ability to perform global optimal search,and the success of the MFO algorithm in obtaining the best solution suggested that an effective solution would be obtained by combining these two *** these reasons,the developed hybrid algorithm aims to achieve better results by using the good aspects of both the GWO algorithm and the MFO *** reviewing the results,it was found that a high level of success was achieved in the benchmark *** achieved better results in 12 of the 13 benchmark functions *** addition,the success rates obtained according to the evaluation criteria in the different data sets are also *** the 97.4%,98.3%,and 99.2% classification accuracy results obtained in the NSL-KDD,UNSW-NB15,and CIC IDS 2017 data sets with the studies in the literature,they seem to be quite successful.

关键词： Network attack detection hybrid GWO MFO

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Transient Temperature Analysis of Slab in Erdemir

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Journal of Iron and Steel Research International 2008年第2期15卷 43-45页

作者： nal amdali murat Tun Sedat Sisbot Faculty of Engineering and Architecture Abant Izzet Baysal University Engineering Faculty Yeditepe University

A transient thermal model was developed for slab furnaces in Eregli Iron and Steel Works （Erdemir） in Turkey and the model was solved using the FlexPDE computer program. This program uses the finite element method. Program codes were written to solve the temperature distribution of slabs that are put into furnace at 25 ℃ and removed at about 1 250℃. To obtain the optimum slab exit temperature variation, the necessary air temperature inside the furnace was calculated to be 1 390℃. The slab temperature versus time and the temperature variation inside the slab were depicted.

关键词： Erdemir finite element method industrial system slab slab furnace temperature analysis

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A Galerkin-Type Fractional Approach for Solutions of Bagley-Torvik Equations

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Computer Modeling in Engineering & Sciences 2020年第6期123卷 941-956页

作者： Şuayip Yüzbaşı murat Karaçayır Department of Mathematics Akdeniz UniversityAntalya07070Turkey

In this study,we present a numerical scheme similar to the Galerkin method in order to obtain numerical solutions of the Bagley Torvik equation of fractional order 3/*** this approach,the approximate solution is assumed to have the form of a polynomial in the variable t=xα,whereαis a positive real parameter of our *** problem is firstly expressed in vectoral form via substituting the matrix counterparts of the terms present in the *** taking inner product of this vector with nonnegative integer powers of t up to a selected positive parameter N,a set of linear algebraic equations is *** incorporation of the boundary conditions,the approximate solution of the problem is then computed from the solution of this linear *** present method is illustrated with two examples.

关键词： Bagley-Torvik equation fractional derivative Galerkin method numerical solutions.

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Ceftriaxone-induced toxic hepatitis

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World Journal of Gastroenterology 2009年第21期15卷 2669-2671页

作者： Erdal Peker Eren Cagan murat Dogan Department of Pediatrics Medical University of Yuzuncu Yil

Toxic hepatitis or drug-induced liver injury encompasses a spectrum of clinical disease ranging from mild biochemical abnormalities to acute liver *** advantages of a long half-life,wide spectrum,high tissue penetration rate,and a good safety profile,make ceftriaxone,a third-generation cephalosporin,a frequent choice in the treatment of childhood *** studies have reported a few cases of high aspartate aminotransferase and alanine aminotransferase levels,along with three cases of hepatitis caused by ***,we report a case of drug-induced toxic hepatitis in a patient who was treated with ceftriaxone for acute tonsillitis.

关键词： Hepatitis Toxic Ceftriaxone Children Drug

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Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures

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Frontiers of Structural and Civil Engineering 2020年第6期14卷 1316-1330页

作者： Harun TANYILDIZI Abdulkadir SENGUR Yaman AKBULUT murat SAHtNa Faculty of Technology Department of Civil EngineeringFirat UniversityElazig 23100Turkey Faculty of Technology Department of Electrical-Electronics EngineeringFir at UniversityElazig 23100Turkey

In this study,the deep learning models for estimating the mechanical properties of concrete containing silica fume subjected to high temperatures were *** fume was used at concentrations of 0%,5%,10%,and 20%.Cube specimens(100 mm×100 mm×100 mm)were prepared for testing the compressive strength and ultrasonic pulse *** were cured at 20℃zb2℃ in a standard cure for 7,28,and 90 *** curing,they were subjected to temperatures of 20℃,200℃,400℃,600℃,and 800℃.Two well-known deep learning approaches,i.e.,stacked autoencoders and long short-term memory(LSTM)networks,were used for forecasting the compressive strength and ultrasonic pulse velocity of concrete containing silica fume subjected to high *** forecasting experiments were carried out using MATLAB deep learning and neural network tools,*** statistical measures were used to validate the prediction performances of both the *** study found that the LSTM network achieved better results than the stacked *** addition,this study found that deep learning,which has a very good prediction ability with little experimental data,was a convenient method for civil engineering.

关键词： concrete high temperature strength properties deep learning stacked auto-encoders LSTM network

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