369 research outputs found

    New thiophene-1,2,4-triazole-5(3)-ones: Highly bioactive thiosemicarbazides, structures of Schiff bases and triazole-thiols

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    SOYLU, SERKAN M/0000-0002-8440-1260; Burnaz, Nesibe Arslan/0000-0003-1163-4829WOS: 000341464500059PubMed: 25063946Key compound 2-(4-amino-5-oxo-3-(thiophene-2-ylmethyl)-4,5-dihydro-1,2,4-tiazole-1-yl) acetohydrazide (3) was synthesized by reacting hydrazine hydrate with ethyl-2-(4-amino-5-oxo-3-(thiophene2-ylmethyl)-4,5-dihydro-1,2,4-tiazole-1yl)acetate (2), obtained in basic media from 4-amino-5-(thiophene-2-ylmethyl)-2H-1,2,4-triazole-3(4H)-one (I). Compound 3 was converted to thiosemicarbazide derivatives (4a-d) and Schiff base derivatives 6a-e and 7a-e. The treatment of compound 4 with NaOH gave 4-amino-24(4-(4-aryl)-5-mercapto-4H-1,2,4-triazole-3-ypmethyl)-5-(thiophene-2-ylmethyl)-2H-1,2,4-triazole-3(4H)-ones (5a-d). All newly compounds, well characterized by elemental analyses, IR, H-1 NMR, C-13 NMR and mass spectral studies were tested for their antioxidant and antimicrobial activities. Thiosemicarbazide derivatives (4a-d) were highly active in two antioxidant tests with 69.0-88.2% DPPH. scavenging and 503-1257 mu M TEAC values, while the others showed lower or no activity. The results of the two antioxidant tests correlated well. Moreover, Thiosemicarbazide derivatives (4a-d) also showed antibacterial activity against Staphylococcus aureus, Bacillus cereus, and Mycobacterium smegmatis. Thiosemicarbazide group deserves attention in the synthesis of bioactive compounds. (C) 2014 Elsevier Masson SAS. All rights reserved.Karadeniz Technical University (BAP)Karadeniz Teknik University [8764]This work was supported by grants from Karadeniz Technical University (BAP, Project no: 8764)

    The Portrayal of Family and Self-reflexivity in Luigi Pirandello’s Six Characters in Search of an Author

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    Luigi Pirandello’s play, Six Characters in Search of an Author (1921, Sei personaggi in cerca d’autore) portrays numerous significant and functional characteristics of metatheatre, a concept coined by Lionel Abel. By drawing on such metatheatrical features and the play within a play technique, Pirandello’s play presents six characters that are in search of an author. This study will, therefore, explain the concept of metatheatre and present a critical analysis of the play, Six Characters as a self-reflexive play. In this critical engagement with the text through specific references from the play and relevant secondary sources, important themes in the play such as reality and illusion, life, art, and the representation of the family in the play will be analysed. This analysis will ultimately demonstrate that Pirandello presents six characters that are self-conscious of their position as dramatic characters that manage to act out their roles, which actually reveal the family relationships between the characters

    Yeşil kimya yaklaşımı ile farklı kaynaklardan kitin ekstraksiyonu, kitosan üretimi ve karakterizasyonu

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    Son yıllarda "Yeşil Kimya" dünyasının umut verici keşiflerinden biri olan derin ötektik çözücüler (DES) yenilenebilir olma, yeniden kullanılabilme, biyolojik olarak parçalanabilme, toksik olmama, büyük ölçekli üretimlerde kullanılabilme, çok düşük buhar basıncına sahip olma, düşük yanıcılık ve kolay hazırlanabilme gibi avantajları ile geleneksel organik çözücülere potansiyel alternatifler olarak kabul edilmektedir. Kitin ve kitosan biyolojik olarak parçalanabilme, biyouyumluluk, toksik olmama gibi özellikleri sayesinde; biyomedikal, gıdaiçecek, tarım ve kozmetik başta olmak üzere birçok alanda kullanılabilen değerli biyopolimerlerdir. Bu çalışmada kitin; kolin klorür: asetik asit (CCAA), kolin klorür: laktik asit (CCLA) ve kolin klorür: gliserol (CCG) olmak üzere üç farklı derin ötektik çözücü kullanılarak kültür mantarından (Agaricus bisporus) izole edilmiştir. Kullanılan üç DES sistemi de mantarlardan kitinin izole edilmesinde etkili olmuştur. Sonuçlara göre; en yüksek deproteinizasyon verimi CCAA kullanılarak (%84,25) elde edilmiştir. CCLA ve CCG kullanılarak elde edilen deproteinizasyon verimleri sırasıyla, %66,65 ve %63,13 olmuştur. CCAA kullanılarak elde edilen kitinin deasetilasyon derecesi %69 olarak belirlenmiştir. Ayrıca kültür mantarı kullanılarak elde edilen sonuçlarla karşılaştırmak amacıyla karides kabukları da kitin hammadde kaynağı olarak kullanılmıştır. Bu sonuçlar derin ötektik çözücüler kullanılarak tek adımda, asit- baz içermeyen bir proses ile kitin ve kitosan üretmek için ümit verici olmuştur. Kitin ve kitosanın fizikokimyasal özelliklerini analiz etmek için FTIR, XRD, SEM ve XPS kullanılmıştır.Deep eutectic solvents (DES), one of the promising discoveries in the "Green Chemistry" world in recent years, are considered as potential alternatives to the traditional solvents with their advantages such as biodegradability, nontoxicity, reusability, renewability, ease of preparation, low vapour pressure and flammability and large-scale availability. Chitin and chitosan are valuable biopolymers that can be used in many fields such as biomedical, food and beverage, agriculture, cosmetics due to their biodegradability, biocompatibility and nontoxicity. In this study chitin was obtained from mushroom (Agaricus bisporus) using three different deep eutectic solvent systems; choline chloride: acetic acid (CCAA), choline chloride: lactic acid (CCLA) and choline chloride: glycerol (CCG). Three deep eutectic solvents were also effective in isolating chitin from mushrooms. According to the results, the highest deproteinization efficiency was obtained using CCAA (84.25%). The deproteinization efficiencies obtained using CCLA and CCG were 66.65% and 63.13%, respectively. The degree of deacetylation of chitin isolated using CCAA was determined as 69 %. In addition, shrimp shells were also used as a chitin raw material to compare with the results obtained using mushroom. These results were promising for producing chitin and chitosan in a onestep, acid-base free process using deep eutectic solvents. The physicochemical properties of chitin and chitosan were analysed using FTIR, XRD, SEM and XPS

    Credit card fraud detection

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    Günümüzde kredi kartları ve banka kartlarının kullanımı oldukça yaygınlaşmıştır ve bu kartların internet üzerinden yapılan alışverişlerde kullanımı da artmıştır. Artan bu kart kullanımı ile beraber kredi kartı dolandırıcılığı sorunu da ortaya çıkmıştır. İnsanlar güvensiz ağlarda veya internet sayfalarında alışveriş yaparken kart bilgileri dolandırıcıların eline geçebilmektedir. Hatta mağazalarda yapılan alışverişlerde pos cihazlarına yerleştirilen düzenekler ile kart bilgileri kopyalanabilmektedir. Bunların sonucunda dolandırıcıların kart bilgilerini kullanarak maddi zararlara yol açması sonucu ortaya çıkmaktadır. Bankalar müşterilerin bu dolandırıcılıklardan en az şekilde etkilenmesi için bu sahte işlemlerin tespitine önem vermektedirler. Bankalardan günde çok sayıda işlem yapıldığı için sahte işlemlerin insan gözüyle tespit edilebilmesi çok zordur. Bu yüzden sahte işlemlerin tespit edilmesi için otomasyon sistemleri kullanılmalı ve bu sistemlerin sahte işlemleri tespit etme oranı mümkün olduğunca yüksek; gerçek işlemleri sahte olarak belirlemesi oranı da mümkün olduğunca düşük olmalıdır. Bu amaçla makine öğrenmesi yöntemleri kullanılarak kredi kartı işlemleri sınıflandırılmıştır. Veri kümesi olarak, Eylül 2013'te Avrupalı kart sahiplerinin kredi kartı işlemlerinin bulunduğu veriler kullanılmıştır. Bu veri kümesi üzerinde derin öğrenme, Rastgele Orman ve sınıflandırıcı yığını yöntemleri kullanılmış ve bu yöntemler karşılaştırılmıştır. Bu veri kümesinin dengesiz olması sebebiyle örnekleme yöntemlerinden de faydalanılmıştır. Çalışma sonucunda derin öğrenme ile 0.963, rastgele orman yöntemi ile 0.956, sınıflandırıcı yığını ile 0.979 AUC değeri elde edilmiştir. Nowadays, the usage of credit and debit cards increased considerably. Usage of these cards on online shopping also has been increased. With increasing card usage, credit card fraud problem emerged. While people do shopping on unsecured networks and websites, their card information can be stolen by fraudsters. Also when they are in a shop and paying with a physical card, their cards can be copied. After the fraudsters get the card information, they try to use card and cause a financial loss if they are successful. Financial compaines have an effort to prevent these frauds in order to have customer satisfaction and reduce their financial loss. It seems impossible for frauds to be detected with humans since many transactions done from the banks per day. Therefore, automation systems should be used in order to detect fake transactions. Accuracy of detecting frauds should be as high as possible and the rate at which legitimate transactions are classified as frauds should be as low as possible. For the sake of this purpose, credit card transactions are classified into legitimate or fraud using machine learning methods. Deep learning, random forest and stacking ensemble methods were used on the dataset which includes credit card transactions made by European cardholders in September, 2013 and results of these methods were compared. As it is a highly unbalanced dataset, sampling methods were utilized. As a result of this work, we have AUC values of 0.963, 0.956 and 0.979 for the deep learning model, random forest model and the stacking ensemble model, respectively

    Liquid Level Process Control with Fuzzy Logic Based Embedded System

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    9th International Conference on Electrical and Electronics Engineering (ELECO) --NOV 26-28, 2015 -- Bursa, TURKEYBirtane, Sibel (Arel Author), Dikbıyık, Emrah (Arel Authro) --- WOS: 000380410800155In this study, the design of embedded Sugeno fuzzy logic based controller for controlling non-linear liquid level process is realized. First, the system was activated on Matlab-Simulink platform and uploaded to Arduino Mega. With this study, activation of modern control methods on embedded systems is simplistically proven. When the control system operation was checked out, it has been observed that it was pretty successful.Chamber Elect Engineers Bursa Branch, Istanbul Techn Univ, Fac Elect & Elect Engn, Uludag Univ, Dept Elect & Elect Engn, IEEE, Reg 8, IEEE Turkey Sect, CAS Chapter, Sci & Technol Res Council Turke

    Translating Thomas More into Turkish: Domestication and Foreignization Strategies in Utopia (1516)

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    Thomas More’s seminal text, Utopia (1516), a highly significant text of utopian literature, or the founding text of the literary tradition of utopianism, as some scholars argue, has been translated numerous times into Turkish. More’s text has become crucial as an inspirational source in the quest for utopia, which the utopian scholar Lyman Tower Sargent describes as “a non-existent society described in considerable detail and normally located in time and space” (1994, p. 9). Although there does not exist a rich tradition of utopianism in Turkish literature, there has been a growing interest in the literary genre over the last decades, which has accordingly resulted in a substantial increase in the quantity and quality of such utopian and dystopian works to be produced and to be translated. More’s text has been translated from such languages as English, German, French, and Latin into Turkish, but there exists only one translation from Latin, the original language of the source text. In this regard, this presentation will seek to compare and analyze these different translations of More’s Utopia with specific references to the domestication, which can be described as “an ethnocentric reduction of the foreign text to target language cultural values, bringing the author back home” (Venuti, 1995, p. 20) and foreignization, which “allows the readers to experience the ‘otherness’ of a foreign text” (Ajtony, 2017, p. 96) strategies

    Güncel Endodonti

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    Hope in Speculative Literature: Utopia & Dystopia on the Screen

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    Speculative fiction offers a possibility to look beyond the reality and to imagine alternative world scenarios, which enables us an opportunity to question the existing social order through its potential to break existing boundaries of normality and imagine the impossible and the unknown. Therefore, the figures who have been traditionally accepted as “abnormal” or socially excluded are given a voice in the imagined or fantastic realms of speculative works. Speculative texts, which have become especially popular with the COVID-19 pandemic, have a strong potential to function as warnings through their worldbuilding capacity, as they draw particular attention to numerous problems and issues such as ecological crisis, climate crisis, population problem, and the use of technology. In this regard, utopia and dystopia, which can be categorized as the subgenres of speculative literature, have gained popularity both in academia and among the general public, as people are attracted more and more by dystopian futures and quests to discover utopian dreams. Dystopia, which the eminent utopian scholar Lyman Tower Sargent describes as “a non-existent society described in considerable detail and normally located in time and space that the author intended a contemporaneous reader to view as considerably better than the society in which the reader lived” is traditionally considered to be lacking in hope, as dystopian narratives illustrate nightmarish world scenarios but hope in dystopian fiction can be ascertained through a close reading of such relevant works (“The Three Faces,” 1994: 9). In this regard, the aim of this paper is to seek hope and utopian impulse in speculative fiction through the discussion of selected utopian and/or dystopian works, especially critical dystopias, and their screen adaptations

    Biochemical Materials and Dentistry

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