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Öğe Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method(Univ Suceava, Fac Electrical Eng, 2015) Demir, Murat; Karci, AliHeuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case. The heuristic methods do not guarantee to obtain the optimal results; however, they guarantee to obtain near-optimal solutions in considerable time. In this paper, an application was performed by using firefly algorithm - one of the heuristic methods. The golden ratio was applied to different steps of firefly algorithm and different parameters of firefly algorithm to develop a new algorithm - called Firefly Algorithm with Golden Ratio (FAGR). It was shown that the golden ratio made firefly algorithm be superior to the firefly algorithm without golden ratio. At this aim, the developed algorithm was applied to WBCD database (breast cancer database) to cluster data obtained from breast cancer patients. The highest obtained success rate among all executions is 96% and the highest obtained average success rate in all executions is 94.5%.Öğe Implementation analyses of proteins and genes obtained from cancer patients(Tubitak Scientific & Technological Research Council Turkey, 2016) Demir, Murat; Karci, AliProteins are an important research area for scientists who are interested in bioinformatics and computational molecular biology, since these studies may result in important results in the case of diseases. Due to this, in this study, bioinformatics data were analyzed based on nucleotides and motifs. Bioinformatics data for proteins were obtained from two different databases. The obtained data belonged to cancer patients, and the genes in these DNA and protein sequences, the proteins synthesized by these sequences, and motifs in these data were analyzed. In the analysis, the ABCB1, ALOX5AP, AKT1, BRCA1, BRCA2, TNF, TNFSF13B, TP53, TP63, TP73, and WT1 genes were used. The proteins synthesized by genes belonging to similar classes were analyzed based on amino acid distributions, atomic distributions, Ramachandran plot similarities, and motifs.Öğe Retrospective view and treatment of iatrogenic ureteral injuries(2020) Eryılmaz, Recep; Aslan, Rahmi; Demir, Murat; Duran, Arif Mehmet; Çiftçi, Felat; Taken, KeremAbstract: Aim: Ureteral injuries are rare. Iatrogenic ureteral injury is the most common cause of ureteral traumas. This letter aims, evaluation of iatrogenic ureteral traumas and treatments. Material and Methods: Thirty two patients with major iatrogenic ureteral trauma were enrolled. Sonography, intravenous pyelography, CT of abdomen (contrast-enhanced and non-contrast enhanced), antegrade X-rays or diagnostic ureterenoscopy are used for the diagnosis. All patients were undergone endoscopic ureterenoscopy before the ureter was surgically repaired. Next, the surgical technique was decided. Injuries that can be managed with endoscopic approach were treated by inserting a Double J stent. For patients who were not eligible for endoscopic treatment, treatment was decided according to the location of ureteral injury. Results: Of the patients, 25 were female and 7 were male and mean age was 46.31±16.485 years. Ureteral injury was secondary to gynecologic intervention in 16 patients, general surgery procedures in 6 patients and urologic surgery in 10 patients. According to AAST, Grade 4-5 injury was identified in 71.9% of 32 patients, while Grade 3 and Grade 2 injuries were noted in 15.6% and 12.5% of patients, respectively. Four patients were treated in late period, while intraoperative or early treatment was instituted for 28 patients. Conclusion: Iatrogenic ureteral injuries develop mostly after laparoscopic or endoscopic pelvic surgeries. We should prefer endoscopic insertion of Double J stent for the first-line treatment.Öğe Retrospective view and treatment of iatrogenic ureteral injuries(2020) Eryilmaz, Recep; Aslan, Rahmi; Demir, Murat; Duran, Arif Mehmet; Ciftci, Felat; Taken, KeremAim: Ureteral injuries are rare. Iatrogenic ureteral injury is the most common cause of ureteral traumas. This letter aims, evaluation of iatrogenic ureteral traumas and treatments.Material and Methods: Thirty two patients with major iatrogenic ureteral trauma were enrolled. Sonography, intravenous pyelography, CT of abdomen (contrast-enhanced and non-contrast enhanced), antegrade X-rays or diagnostic ureterenoscopy are used for the diagnosis. All patients were undergone endoscopic ureterenoscopy before the ureter was surgically repaired. Next, the surgical technique was decided. Injuries that can be managed with endoscopic approach were treated by inserting a Double J stent. For patients who were not eligible for endoscopic treatment, treatment was decided according to the location of ureteral injury.Results: Of the patients, 25 were female and 7 were male and mean age was 46.31±16.485 years. Ureteral injury was secondary to gynecologic intervention in 16 patients, general surgery procedures in 6 patients and urologic surgery in 10 patients. According to AAST, Grade 4-5 injury was identified in 71.9% of 32 patients, while Grade 3 and Grade 2 injuries were noted in 15.6% and 12.5% of patients, respectively. Four patients were treated in late period, while intraoperative or early treatment was instituted for 28 patients.Conclusion: Iatrogenic ureteral injuries develop mostly after laparoscopic or endoscopic pelvic surgeries. We should prefer endoscopic insertion of Double J stent for the first-line treatment.Öğe Sezgisel yöntemlerde altın oran(İnönü Üniversitesi, 2015) Demir, MuratSezgisel algoritmalar, çözüme yaklaşımsal yöntemlerle giden ve doğada var olan sistemleri taklit eden yöntemlerdir. Genellikle çözümü barındıracak popülasyonları temsil eden matrislerle hedef çözüme ulaşılmaya çalışırlar. Bir çok farklı metot kullanan sezgisel yöntem vardır. Bu tez çalışmasında optimizasyon amaçlı kullanılan sezgisel algoritmalardan, Yapay atom algoritması, Parçacık sürü optimizasyon algoritması, Ateş böceği algoritması, Yarasa algoritması ve Fidan gelişim algoritması yöntemleri veri kümeleme üzerine uygulanmıştır. Sezgisel algoritmalarda genellikle, çözüm için oluşturulan başlangıç popülasyonları rastgele oluşturulur. Bu çalışmada, Fidan gelişim Algoritması yönteminin başlangıç popülasyonunu oluşturmadaki tekniğinden faydalanılmıştır ve genellikle doğruluk oranını daha iyi değerlere taşıdığı görülmüştür. Altın oran değeri, kainatta birçok yerde eşsiz bir şekilde yaratma sanatını gösteren bir orandır. Bundan hareketle yapılan bu tez çalışmasında, veri kümeleme için, uygulama yazılımları geliştirilirken, altın oranın parametrelerdeki etkileri incelenmiştir. Sezgisel algoritmalarda hesapsal parametreler genellikle rastgele seçilir. Bu tez çalışmasında uygulama yazılımlarında parametreler, öncelikle rastgele denenmiştir. Daha sonra parametreler, altın oran değeri, altın oran değerine yakın değerler ve altın oran değerine uzak değerler etrafında denenmiştir. Uygulama yazılımlarında, parametrelerin tanımlı olduğu aralıklarda altın oran değerinin genelde en iyi sonuçları verdiği görülmüştür. Veri kümeleme için kullanılan yöntemlerde, sezgisel algoritmalara ve altın orana bir arada şu ana kadar rastlanmamıştır. Bu tez çalışmasında altın oran ve sezgisel algoritmalar başarılı bir şekilde veri kümeleme üzerine uygulanmıştır.
