22 results on '"Aslan, Murat"'
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2. Directed C–H Functionalization of C3-Aldehyde, Ketone, and Acid/Ester-Substituted Free (NH) Indoles with Iodoarenes viaa Palladium Catalyst System
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Taskesenligil, Yunus, Aslan, Murat, Cogurcu, Tuba, and Saracoglu, Nurullah
- Abstract
Pd(II)-catalyzed C–H arylations of free (NH) indoles including different carbonyl directing groups on C3-position with aryl iodides are demonstrated. Importantly, the reactions are carried out using the same catalyst system without any additional transient directing group (TDG). In this study, the formyl group as a directing group gave the C4-arylated indoles versus C2-arylation. Using this catalyst system, C–H functionalization of 3-acetylindoles provided domino C4-arylation/3,2-carbonyl migration products. This transformation involves the unusual migration of the acetyl group to the C2-position following C4-arylation in one pot. Meanwhile, migration of the acetyl group could be simply controlled and N-protected 3-acetylindoles afforded C4-arylation products without migration of the acetyl group. Functionalization of indole-3-carboxylic acid (or methyl ester) with aryl iodides using the present Pd(II)-catalyst system resulted in decarboxylation followed by the formation of C2-arylated indoles. Based on the control experiments and the literature, plausible mechanisms are proposed. The synthetic utilities of these acetylindole derivatives have also been demonstrated. Remarkably, C4-arylated acetylindoles have allowed the construction of functionalized pityiacitrin (a natural product).
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- 2023
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3. Printmaking Courses in Distance Education Process.
- Author
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YILDIZ, Erol Murat, ASLAN, Murat, and KIZILIRMAK ÇEKİNMEZ, Buse
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DISTANCE education ,PRINTMAKING ,ENVIRONMENTAL quality ,EDUCATIONAL quality ,SCHOOL environment ,ART colleges ,CREATIVE ability - Abstract
Copyright of Gazi University Journal of Gazi Educational Faculty (GUJGEF) is the property of Gazi University Journal of Gazi Educational Faculty (GUJGEF) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
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- View/download PDF
4. Realization of Turkey’s energy demand forecast with the improved arithmetic optimization algorithm
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Aslan, Murat and Beşkirli, Mehmet
- Abstract
Due to the increasing energy consumption, energy has become a constant problem in the world. Rapidly increasing population, urbanization and economic activities increase the pressure of countries on energy. In a world where consumption is increasing, energy management has become a more important and challenging issue. For this reason, it is necessary to make proper estimations that will reduce the pressure of energy demand on this issue. In order to realize the estimation of energy demand, Turkey application is carried out in this study and arithmetic optimization algorithm (AOA) which is a stochastic metaheuristic algorithm has used to for solving energy demand problem. AOA is inspired from four substantial math functions such as subtraction, multiplication, addition and division for searching process of candidate solutions. The current position update rules of AOA are not powerful enough for solving the problem dealt with this study. Therefore, an improved version of AOA named as IAOA is proposed for solving energy demand problem. In the proposed algorithm, a new position update rule is incorporated to basic AOA in order to enhanced the exploration and exploitation capability of AOA. The linear regression model is used for the estimation of the energy demand and the population, domestic product, import and export data are used in estimation process. In the proposed model, Turkey’s real data samples for the years 1979–2011 have been used, and Turkey’s long-term energy demand has been estimated for the years 2012–2030. While performing the estimation process, Turkey’s energy data of the years 1979–2011 have processed, and then Turkey’s long-term energy demand estimations are realized for three different scenarios. Firstly, the experimental results of the proposed model are analyzed, then the results are compared with different studies proposed in the literature. As a result of the comparisons, it is seen that the IAOA method has achieved better or similar results than compared methods. For this reason, it can be said that the IAOA method is competitive and successful in realizing the energy demand forecast for Turkey’s future years.
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- 2022
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5. Functionalization at Nonperipheral Positions of Triazatruxene: Modular Construction of 1,6,11-Triarylated-Triazatruxenes for Potentially Organic Electronics and Optoelectronics.
- Author
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Aslan, Murat, Taskesenligil, Yunus, Pıravadılı, Selin, and Saracoglu, Nurullah
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- 2022
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6. Effect of pulsed corticosteroids and tocilizumab on hyperinflammation in COVID-19 patients with acute respiratory distress syndrome.
- Author
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Aslan, Murat, Sabaz, Mehmet, Yilmaz, Rabia, Aşar, Sinan, Şeker, Yasemin, and Hergünsel, Gülsüm
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ADULT respiratory distress syndrome ,COVID-19 ,GASTROINTESTINAL hemorrhage ,ACUTE kidney failure ,INFLAMMATION ,CORTICOSTEROIDS - Abstract
Objective: To compare the efficacy of pulsed-dose corticosteroids (≥250 mg methylprednisolone, 3 days) and tocilizumab in treating COVID-19-related hyperinflammation. Methods: This prospective observational study included RT-PCR positive COVID-19 patients with acute respiratory distress syndrome, who were admitted to the COVID-19 Adult Intensive Care Unit of Prof Dr. Murat Dilmener Emergency Hospital (Istanbul, Turkey) between December 1, 2020 and February 28, 2021. Clinical, laboratory and radiological examinations were used to diagnose COVID-19 associated hyperinflammation. Three cohort groups were formed: the pulsed-dose corticosteroids group (250 mg methylprednisolone for 3 days), the tocilizumab group (8 mg/day single dose or 400 mg/day for 2 days), and the combined group (pulsed-dose corticosteroid+tocilizumab). The difference in mortality rates among the groups was compared primarily. The most common cause(s) of death was determined. Furthermore, adverse events (secondary infection, acute kidney injury, arrhythmia, gastrointestinal system bleeding) for 28 days were recorded. Results: A total of 60 patients were included in this study, with 20 patients in each group. There was no statistically significant difference between the 3 groups in mortality rates (55% in the pulsed corticosteroid group, 60% in the tocilizumab group, 50% in the combined group, χ
2 =0.404, P=0.817). Infectious causes were found to be the most common cause of mortality in all the three groups, and no difference was found between them (χ2 =0.404, P=0.817). There was also no difference in the development of adverse events such as secondary infection, acute kidney injury, arrhythmia, and gastrointestinal bleeding among the groups (P>0.05). Conclusions: Corticosteroids can be used instead of tocilizumab to treat hyperinflammation in COVID-19 patients with acute respiratory distress syndrome. [ABSTRACT FROM AUTHOR]- Published
- 2021
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7. Özgün Baskıresim Derslerinde Disiplinlerarası Yaklaşımların Akademik Başarıya Etkisi.
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ASLAN, Murat and AKALAN, Güler
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MIXED methods research ,MANN Whitney U Test ,CONTENT analysis ,TEACHING methods ,INTERDISCIPLINARY education ,PRINTMAKING - Abstract
Copyright of Gazi University Journal of Gazi Educational Faculty (GUJGEF) is the property of Gazi University Journal of Gazi Educational Faculty (GUJGEF) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
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- View/download PDF
8. Özgün Baskıresim Derslerinde Disiplinlerarası Yaklaşımların Akademik Başarıya Etkisi.
- Author
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ASLAN, Murat and AKALAN, Güler
- Subjects
MIXED methods research ,MANN Whitney U Test ,TEACHING methods ,INTERDISCIPLINARY education ,ART ,PRINTMAKING - Abstract
Copyright of Gazi University Journal of Gazi Educational Faculty (GUJGEF) is the property of Gazi University Journal of Gazi Educational Faculty (GUJGEF) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
- Full Text
- View/download PDF
9. Description of suicide ideation among older adults and a psychological profile: a cross-sectional study in Turkey.
- Author
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Aslan, Murat, Hocaoglu, Cicek, and Bahceci, Bulent
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OLDER people ,DESPAIR ,SUICIDAL ideation ,GERIATRIC Depression Scale ,PATIENTS - Abstract
Copyright of Revista Ciência & Saúde Coletiva is the property of Associacao Brasileira de Pos-Graduacao em Saude Coletiva and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
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10. Major depressive disorder is associated with fragmented QRS.
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ILTER, Abdulselam, ASLAN, Murat, ILTER, Zeynep CALISKAN, BESLI, Feyzullah, and TUSUN, Eyyup
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- 2017
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11. A swarm intelligence-based hybrid approach for identifying network modules.
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Atay, Yilmaz, Aslan, Murat, and Kodaz, Halife
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COMPARATIVE studies ,MODULAR coordination (Architecture) ,SWARM intelligence ,GENETIC algorithms ,PUBLISHING - Abstract
Highlights • We have focused on network structure and community evolution analysis. • The approach was developed to determine statistically significant modules/community structures from real-world networks. • This approach is a hybrid method that uses 4 greedy algorithm methods, genetic algorithm and shuffled frog-leaping algorithm. • Modularity, normalized cut, global density, and significance objective functions were selected as fitness criteria. • Consequently, this study was presented the hybrid approach that can be successfully used for module/community detection. Abstract Complex network structures, where real-world systems are modelled, contain important information that can be uncovered. Various studies have been carried out, and many methods have been proposed recently to discover such information by using different network analysis techniques. The discovery of meaningful modules in networks is one of these significant works. In this study, a new hybrid method, which is called uniSFLA , is proposed to determine statistically significant modules within the network. Another significant aspect of this study is to use various objective functions as fitness criteria and compare the results obtained from the tests with each other. The aim is to test the success of various objective functions used to investigate network modules and those defined according to different properties in graphs. The proposed algorithm was tested on real-world networks, and the test results were compared with those of other algorithms from published literature. Considering the experimental results, the method suggested in this work produced significant success in terms of both best and average values. Moreover, the accuracy and quality tests of the conformity values obtained for each objective function were performed with four different cluster evaluation criteria. Finally, in addition to the successful results for the uniSFLA algorithm, the comparative test results of appropriate network modules, obtained using modularity and significance functions, were evaluated by means of various tables and graphs. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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12. Joint parameter and state estimation of the hemodynamic model by iterative extended Kalman smoother.
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Aslan, Serdar, Cemgil, Ali Taylan, Aslan, Murat Şamil, Töreyin, Behçet Uğur, and Akın, Ata
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HEMODYNAMICS ,FUNCTIONAL magnetic resonance imaging ,KALMAN filtering ,ITERATIVE methods (Mathematics) ,PARAMETER estimation - Abstract
The joint estimation of the parameters and the states of the hemodynamic model from the blood oxygen level dependent (BOLD) signal is a challenging problem. In the functional magnetic resonance imaging (fMRI) literature, quite interestingly, many proposed algorithms work only as a filtering method. This makes the estimation of hidden states and parameters less reliable compared with the algorithms that use smoothing. In standard implementations, smoothing is performed only once. However, joint state and parameter estimation can be improved substantially by iterating smoothing schemes such as the extended Kalman smoother (IEKS). In the fMRI literature, extended Kalman filtering is thought to be less accurate than standard particle filtering (PF). We compared EKF with PF and observed that the contrary is true. We improved the EKF performance by adding smoother. By iterative scheme joint hemodynamic and parameter estimation is improved substantially. We compared IEKS performance with the square-root cubature Kalman smoother (SCKS) algorithm. We show that its accuracy for the state and the parameter estimation is better and much faster than iterative SCKS. SCKS was found to be a better estimator than the dynamic expectation maximization (DEM), EKF, local linearization filter (LLF) and PF methods. We show in this paper that IEKS is a better estimator than iterative SCKS under different process and measurement noise conditions. As a result, IEKS seems to be the best method we evaluated in all aspects. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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13. Major depressive disorder is associated with fragmented QRS
- Author
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Ilter, Abdulselam, Aslan, Murat, Caliskan Ilter, Zeynep, Besli, Feyzullah, and Tusun, Eyyup
- Abstract
Objective There is a close link between major depressive disorder (MDD) and cardiovascular disease (CVD). Increasing oxidative stress, changes in hypothalamic-pituitary-adrenal axis and platelet clotting cascade may lead to subclinical myocardial damage in MDD patients without overt CVD. The aim of the study was to investigate whether MDD is associated with fragmented QRS (fQRS) on electrocardiogram (ECG) which may reflect myocardial fibrosis/scarring and ischaemia.Methods and results A total of 66 MDD patients without overt CVD and 35 age- and sex-matched control subjects were enrolled in this study. Twelve-lead surface ECGs were analysed for the presence of fQRS and echocardiographic examination was performed for each individual. Multivariate logistic regression analysis was used to assess the relationship between MDD and fQRS. The baseline characteristics in terms of age, gender, body mass index and cardiovascular risk factors were comparable in the groups (all Pvalues >0.05). Left ventricular ejection fraction, left ventricular wall thickness and diastolic blood pressure were also similar in the two groups. The presence of fQRS was more prevalent (P < 0.001) and SBP values (P = 0.007) were higher in patients with MDD compared to controls. Moreover, multivariate binary logistic regression analysis indicated the recurrent MDD as the only independent predictor of fQRS on ECG (beta =0.196, 95% CI 0.046 - 0.827, P = 0.014).Conclusion The presence of fQRS on the ECG is associated with MDD, and may be a beneficial tool for detecting subclinical cardiac damage in this population.
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- 2017
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14. Analyzing the effectiveness of flare dispensing programs against pulse width modulation seekers using self-organizing maps
- Author
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Huckridge, David A., Ebert, Reinhard, Şahingil, Mehmet C., and Aslan, Murat Ş.
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- 2013
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15. An object-oriented modeling and simulation framework for bearings-only multi-target tracking using an unattended acoustic sensor network
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Carapezza, Edward M., Lewis, Keith L., Hollins, Richard C., Merlet, Thomas J., Gruneisen, Mark T., Dusek, Miloslav, Rarity, John G., and Aslan, Murat Şamil
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- 2013
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16. Determining the flare dispensing program effectiveness against conical-scan and spin-scan reticle systems via Gaussian mixture models
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Kelmelis, Eric J., Şahingil, Mehmet C., and Aslan, Murat Ş.
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- 2013
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17. DJAYA: A discrete Jaya algorithm for solving traveling salesman problem.
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Gunduz, Mesut and Aslan, Murat
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TRAVELING salesman problem ,ANT algorithms ,PARTICLE swarm optimization ,SIMULATED annealing ,ALGORITHMS ,METAHEURISTIC algorithms ,HEURISTIC algorithms - Abstract
Jaya algorithm is a newly proposed stochastic population-based metaheuristic optimization algorithm to solve constrained and unconstrained continuous optimization problems. The main difference of this algorithm from the similar approaches, it uses best and worst solution in the population in order improve the intensification and diversification of the population, and this provides discovering potential solutions on the search space of the optimization problem. In this study, we propose discrete versions of the Jaya by using two major modifications in the algorithm. First is to generate initial solutions by using random permutations and nearest neighborhood approach to create population. Second is the update rule of the basic Jaya algorithm rearranged to solve discrete optimization problems. Due to characteristics of the discrete optimization problem, eight transformation operators are used for the discrete variants of the proposed algorithm. Based on these modifications, the discrete Jaya algorithm, called DJAYA, has been applied to solve fourteen different symmetric traveling salesman problem, which is one of the famous discrete problems in the discrete optimization. In order to improve the obtained best solution from DJAYA, 2-opt heuristic is also applied to the best solution of DJAYA. Once population size, search tendency and the other parameters of the proposed algorithm have been analyzed, it has been compared with the state-of-art algorithms and their variants, such as Simulated Annealing (SA), Tree-Seed Algorithm (TSA), State Transition Algorithm (STA) Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Genetic Algorithm (GA) and Black Hole (BH). The experimental results and comparisons show that the proposed DJAYA is highly competitive and robust optimizer for the problem dealt with the study. [Display omitted] • A novel and alternative discrete optimization method called DJAYA is presented for permutation-coded optimization problems. • DJAYA is based on Jaya algorithm and transformation operators. • Eight different combination of transformation operators have been analyzed. • The performance of DJAYA has been investigated on 14 different symmetric traveling salesman problems. • DJAYA is compared with state-of-art population-based algorithms. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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18. Functionalization at Nonperipheral Positions of Triazatruxene: Modular Construction of 1,6,11-Triarylated-Triazatruxenes for Potentially Organic Electronics and Optoelectronics
- Author
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Aslan, Murat, Taskesenligil, Yunus, Pıravadılı, Selin, and Saracoglu, Nurullah
- Abstract
Functionalization from nonperipheral positions of triazatruxene is representing a challenge. Triarylation of the nonperipheral positions (1, 6, and 11) in triazatruxene scaffold has been achieved for the first time via two approaches. The transformations involve arylation/cyclotrimerization and cyclotrimerization/arylation sequences. POCl3-mediated direct cyclotrimerization of oxindoles containing electron-deficient substituents on the aryl group at the C7-position resulted in the formation of 2-chloroindoles, whereas oxindoles containing electron-donating substituents gave the triazatruxenes. Furthermore, desired triazatruxenes were achieved through cyclotrimerization of 7-bromooxindole followed by coupling with arylboronic acids. NMR structural analysis exhibited that two of the suitably substituted oxindole and triazatuxene may have atropisomerism at room temperature. As a representative triazatruxene scaffold, the optoelectronic properties of 9ahave also been studied via ultraviolet–visible (UV–vis) absorption spectra and fluorescence spectra of 9athin films. Also, density functional theory calculation was realized to get knowledge about frontier molecular orbitals. In the light of the information obtained, an organic light-emitting diode (OLED) device utilizing 9aas an emissive layer was applied to obtain white emission. In brief, this study provides the first examples of the synthesis of triazatruxenes bearing aryl substituents at the nonperipheral positions as candidate compounds for organic electronics, optoelectronics, and material chemistry.
- Published
- 2021
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19. Large Vesicula Seminalis Cyst: A Very Rare Cause of Constipation and Male Infertility
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Ates, Yuksel, Kilciler, Guldem, Bedir, Selahattin, Aslan, Murat, Kilciler, Mete, Tuzun, Ahmet, Yagci, Gokhan, and Bagci, Sait
- Abstract
We report a 35‐year‐old male patient with chronic constipation and infertility for 4 years. Spermiogram revealed severe oligospermia. An external mass compressing the rectum was found during rectal examination and flexible rectosigmoidoscopy. Abdominal computed tomography showed a presacral cystic mass which displaced the bladder anteriorly. The cyst was completely removed with open surgery. Histopathologic analysis revealed a cystic lesion covered with squamous epithelium including polymorphonuclear leukocytes, macrophages and sperm cells. After the operation, the patient's symptoms were relieved. We considered that the constipation was caused by external compression by the vesicula seminalis cyst. In cases of constipation with infertility, vesicula seminalis cyst should be kept in mind.
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- 2007
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20. Large Vesicula Seminalis Cyst: A Very Rare Cause of Constipation and Male Infertility
- Author
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Ates, Yuksel, Kilciler, Guldem, Bedir, Selahattin, Aslan, Murat, Kilciler, Mete, Tuzun, Ahmet, Yagci, Gokhan, and Bagci, Sait
- Abstract
We report a 35-year-old male patient with chronic constipation and infertility for 4 years. Spermiogram revealed severe oligospermia. An external mass compressing the rectum was found during rectal examination and flexible rectosigmoidoscopy. Abdominal computed tomography showed a presacral cystic mass which displaced the bladder anteriorly. The cyst was completely removed with open surgery. Histopathologic analysis revealed a cystic lesion covered with squamous epithelium including polymorphonuclear leukocytes, macrophages and sperm cells. After the operation, the patient's symptoms were relieved. We considered that the constipation was caused by external compression by the vesicula seminalis cyst. In cases of constipation with infertility, vesicula seminalis cyst should be kept in mind.
- Published
- 2007
- Full Text
- View/download PDF
21. JayaX: Jaya algorithm with xor operator for binary optimization.
- Author
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Aslan, Murat, Gunduz, Mesut, and Kiran, Mustafa Servet
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BEES algorithm ,BENCHMARK problems (Computer science) ,CONSTRAINED optimization ,MATHEMATICAL optimization ,ALGORITHMS ,HEURISTIC algorithms - Abstract
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of artificial agent in the population by considering the best and worst individuals. This is an important property for the algorithm to balance exploration and exploitation on the solution space. However, the basic Jaya cannot be applied to binary optimization problems because the solution space is discretely structured for this type of optimization problems and the decision variables of the binary optimization problems can be element of set [0,1]. In this study, we first focus on discretization of Jaya by using a logic operator, exclusive or – xor. The proposed idea is simple but effective because the solution update rule of Jaya is replaced with the xor operator, and when the obtained results are compared with the state-of-art algorithms, it is seen that the Jaya-based binary optimization algorithm, JayaX for short, produces better quality results for the binary optimization problems dealt with the study. The benchmark problems in this study are uncapacitated facility location problems and CEC2015 numeric functions, and the performance of the algorithms is compared on these problems. In order to improve the performance of the proposed algorithm, a local search module is also integrated with the JayaX. The obtained results show that the proposed algorithm is better than the compared algorithms in terms of solution quality and robustness. • A novel binary optimizer called JayaX is presented. • JayaX is based on Jaya algorithm and "exclusive or" logic operator. • Two different versions of JayaX has been proposed in this study. • The performance of JayaX has been investigated on binary optimization problems. • JayaX is compared with state-of-art population-based algorithms. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
22. The effectiveness of the jammer signal characteristics on conical-scan systems
- Author
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Kelmelis, Eric J., Şahingil, Mehmet C., and Aslan, Murat Ş.
- Published
- 2015
- Full Text
- View/download PDF
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