200 research outputs found
Utilization of mistletoe for the synthesis of copper nanoparticles and its clinical applications
No full textNanoparticles are substances with dimensions smaller than 100 nm. Nowadays, nanoparticles can be synthesized by many methods. Copper nanoparticles (CuNPs) were made using the green synthesis approach, using aqueous extracts of the pine mistletoe plant (Viscum album ssp. austriacum) and CuSO₄ metal salt. The formation of CuNPs was determined both by observing the color change and by the UV-vis method. Especially peaks were observed around the leaf (567 nm), fruit (560 nm), and branch (565 nm). Specific functional groups involved in the formation of CuNPs and the reduction of Cu0 were determined by FT-IR spectroscopy. In addition, SEM and EDS analyses of the synthesized CuNPs show that they are nanosized and their average size is less than 100 nm. In particular, it was determined that the size of fruit-derived CuNPs was the smallest (between 23.21 and 54.63 nm), and all synthesized CuNPs were spherical in shape. In addition, the antioxidant capacities of these plant extracts and CuNPs synthesized from them were investigated. For this purpose, DPPH• and ABTS•+ radical scavenging activities of the samples were determined. The DPPH• radical IC50 value of CuNPs obtained from the aqueous extract of fruit was determined as 151.41 µg/mL, and the ABTS•+ radical IC50 value was 160.43 µg/mL. The antioxidant results were compared with the standard ascorbic acid results. Furthermore, copper nanoparticles obtained from fruit extract were found to have the highest antioxidant activity. Furthermore, the antimicrobial activities of all samples were examined. In particular, the antiquorum activity of CuNPs synthesized from plant parts of V. album was determined for the first time. As a result, it was determined that the copper nanoparticles obtained from these plant parts had superior antioxidant and antimicrobial properties
Global dynamics of Schrodinger and Dirac equations
No full textSubmission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01The student, Ebru Toprak, accepted the attached license on 2018-07-03 at 12:37.The student, Ebru Toprak, submitted this Dissertation for approval on 2018-07-03 at 12:52.This Dissertation was approved for publication on 2018-07-11 at 12:30.DSpace SAF Submission Ingestion Package generated from Vireo submission #12712 on 2018-09-27 at 11:16:19Made available in DSpace on 2018-09-27T16:30:15Z (GMT). No. of bitstreams: 2
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Previous issue date: 2018-07-11Embargo set by: Seth Robbins for item 107763
Lift date: 2020-09-27T16:30:34Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107763
Lift date: 2020-09-27T16:31:43Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107763
Lift date: 2020-09-27T16:34:29Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 107763 on 2020-09-28T09:15:13Z
Correction to: Digitalization of Business Logistics Activities and Future Directions
No full textThe original version of Chapter 10 was inadvertently published with the incorrect authors affiliation. For authors Ebru Beyza Bayarçelik and Hande Begüm Bumin Doyduk the corrected affiliation is provided below: Ebru Beyza Bayarçelik Department of International Trade and Logistics Management, Faculty of Business and Management Science, Maltepe University, Maltepe, Istanbul, Turkey e-mail: [email protected] Hande Begüm Bumin Doyduk Hande Begüm Bumin Doyduk (Corresponding author), Department of International Trade, School of Business, Altınbaş University, Esentepe, Istanbul, Turkey e-mail: [email protected] Corrections have been updated in the book. © Springer Nature Switzerland AG 2020
Social preferences, occupational choice and labor market performance
No full textThe first essay analyzes the role of information transparency on fairness and reciprocity in long-term labor market relationships. The main finding of the second chapter is that transparency serves as an effective mechanism to both improve worker welfare and total market efficiency. Fairness, which means that an increase in the generosity of a contract offer is reciprocated by an increase in the effort level, is a prominent concern under information transparency. When workers are informed about firms' productivity levels and potential profits, firms propose higher wages that represent a more fair division of total surplus. Workers respond to generous offers with high effort levels. However, workers' response to wages is not constant and depends on the following factors. It is elevated with information transparency. That is, for given wages, workers provide more effort under full information. It also depends on whether a wage offer represents a fair share of the final surplus. The second essay analyzes the role of information transparency and communication in short-term employment relationships. The evidence shows that the level of trust and reciprocity is significantly reduced if there is no contract renewal. While information transparency was critical in long-term relationships, it does not have a substantial effect in short-term relationships. Wage offers are lower and compressed regardless of how workers are informed. On the other hand, communication enhances trust and reciprocity more significantly than any other factor that is controlled for. The third essay studies the occupational choice of agents between working for wages and becoming entrepreneurs. The main finding is that policies that improve worker's welfare also improve the terms for entrepreneurs. If the tax rates on entrepreneurs and the working wages are raised, entry into entrepreneurship slows down. This increases the average quality and consequently, the average success rate of entrepreneurs when a high wage-high tax regime is adopted. The credit market offers lower interest rates to potential entrepreneurs due to higher average success rates. On the other hand, overconfidence exists among potential entrepreneurs. The average rate of success is lower with overconfidence, which only worsens the adverse selection problem in the credit market.Ph. D.Includes bibliographical referencesIncludes vitaby Ebru Isgi
Türkçe sözlü ders anlatımları için otomatik yazılandırma ve geri getirim sistemi geliştirilmesi
No full text##nofulltext##Ebru Arısoy (MEF Author)With the increase of online video lectures, using speech and language processing technologies for education has become quite important. This paper presents an automatic transcription and retrieval system developed for processing spoken lectures in Turkish. The main steps in the system are automatic transcription of Turkish video lectures using a large vocabulary continuous speech recognition (LVCSR) system and finding keywords on the lattices obtained from the LVCSR system using a speech retrieval system based on keyword search. While developing this system, first a state-of-the-art LVCSR system was developed for Turkish using advance acoustic modeling methods, then keywords were extracted automatically front word sequences in the reference transcriptions of video lectures, and a speech retrieval system was developed for searching these keywords in the lattice output of the LVCSR system. The spoken lecture processing system yields 14.2% word error rate and 0.86 maximum term weighted value on the test data
Study of Effect of Ebru Training on the Developmental Areas of Children Aged Under Five
No full textAbstractThe study aims at determining the development areas and the effect of ebru art training on the development areas of children aged under five attending kindergartens of elementary schools. The study domain consisted of children aged under five with normal development, who attended kindergartens of elementary schools of Ministry of National Education in the central distinct of Ankara. Two kindergarten classes of elementary schools that were determined as not having any art training were included into the study from among the schools of Ministry of National Education in the central district of Ankara. Test and control groups were determined by random sampling from the kindergarten classes. Experimental pattern with pre-test and post-test control was used in the study. Information on children and families participating in the study was collected from the school records and with the used “Family Information Form” developed by the author. “Brigance Early Preschool Screen II”, which was adapted to Turkish by Aral et al. (2008), was used to determine the development level of children. Art of ebru training program was prepared specifically for the development characteristics of children aged under five in the study. Prior to application of the training program, Brigance Early Preschool Screen II was applied as pre-test on the test and control groups. Art of ebru training was given to children in the test group for a period of approximately one hour per day for ten weeks with education provided within the framework of the preschool education program of the Ministry of National Education during the remaining education time. Children in the control group continued the preschool education program of the Ministry of National Education. Brigance Early Preschool Screen II was applied as the post-test on the test and control groups after the education program. At the end of this research, it has been determined that group x common effect of scores which are gotten from Brigance Early Development Inventory II Receptive and Expressive Language Development Sub-dimension is significant (p<.05). However, group x common effect gotten from total score and scores obtained from other sub-dimensions of Brigance Early Development Inventory II is not significant (p>.05)
Investigation of the Effects of Filling Speed, Casting Temperature and Metallurgical Quality on Fluidity of Lamellar Graphite Cast Iron at Different Section Thicknesses
No full textIn this study, the fluidity properties of the alloy were investigated at different casting temperatures, different section thicknesses, and varying casting parameters of lamellar graphite cast iron materials. To achieve our goal, we utilized sand molds that were created with specific parameters including pouring temperature, metallurgical quality, section thickness, and fluidity test model. These molds were used for casting. Thus, the effect of fluidity properties in changing casting conditions and liquid metal advance distances at determined section thicknesses was investigated. Modeling was carried out with FlowCast casting simulation software by determining the liquid metal advance distance depending on the section thickness in the castings made in sand molds under changing casting conditions. The fluidity and advance distance of the liquid metal was determined comparatively with experimental and modeling techniques under the changing casting conditions in the parameters determined in this study. When the outcomes were examined; it was observed that different liquid metal advance distances occur at different cross-section thicknesses depending on the changing conditions. © The Author(s) 2024
Performance Assessment of Artificial Neural Networks for Author Attribution By Using Stylistic Features: Turkish Articles
No full textOne of the main opportunities that the internet provides today is the rapidity of media resources, anonymity and accessibility from anywhere. Since individuals do not have to use their real identity in places like websites, forums, and e-mails, such places require good or bad intentions to distinguish between real and non-real identity use at the same time. This is sometimes for the solutions of crimes, sometimes for conceptional rights, sometimes for simply the name similarities. By examining a text that contains a crime element and by analyzing people's writing habits or styles (forms), author identificiation efforts help us to know about the true authors of those messages. In literature, author recognition is expressed as the process of determining the author of an article whose author is not known or whose author is suspected. Different works have been carried out on this field from day to day. Author recognition is considered as a classification problem and is expressed as the process of identifying the most appropriate author from the group of potential suspects. Within the scope of this thesis, it is aimed to develop author identification models in order to respond to different needs. Different tests have been carried out to assess the success of the models obtained. Accuracy values obtained from these tests vary between 99% and 74%. In addition, the success of the author features used in the author recognition study in determining the text type is evaluated and a different model for text type recognition is proposed. The proposed model shows whether a text belongs to the fields of 'Life', 'Politics' or 'Economy'. The accuracy of the proposed ANN (Artificial Neural Networks) models are between 88% and 70%. In this thesis, we also propose a hybrid ANN model which recognizes both writer and writing type in order to answer different needs and show the determination of the recommended author recognition and writing type recognition models.ÖZET i
ABSTRACT iii
TEŞEKKÜR v
ÇİZELGELER viii
ŞEKİLLER ix
SİMGELER VE KISALTMALAR x
1. GİRİŞ 1
2. ALAN BİLGİSİ 5
2.1. Yazar Analizi 5
2.2. Yazarlık Özellikleri 7
2.2.1. Sözcüksel Özellikler (Lexical Features) 8
2.2.2. Sözdizimsel Özellikler (Syntactic Features) 9
2.3.3. Yapısal Özellikler (Structural Features) 9
2.3.4. İçeriğe Özgü Özellikler (Content-Specific Features) 9
2.3.5 Kişiye Özgü Özellikler (Idiosyncratic Features) 10
2.4. Performans Değerlendirme Metrikleri 10
3. YAZAR TANIMA KONUSUNDA ALANYAZIN ÖZETİ 12
3.1. İngilizce ve Diğer Diller için Yapılan Çalışmalar 12
3.2. Türkçe için Yapılan Çalışmalar 20
4. ALANYAZIN ÖZETİNDE KULLANILAN YÖNTEMLER 25
4.1. Navie Bayes 25
4.2. Destek Vektör Makineleri (SVM) 27
4.3. Karar Ağaçları 28
5. YAPAY ZEKA YÖNTEMLERİ 30
5.1. Yapay Sinir Ağları (Artifical Neural Network) 30
5.2. Yapay Sinir Ağları Yapıları 34
5.3. YSA Öğrenme Algoritmaları 36
5.3.1. Momentumlu Geri Yayılım Algoritması (BackPropagation) 38
5.3.2. Levenberg-Marquardt Öğrenme Algoritması 40
5.3.3. Esnek Yayılım Algoritması 41
5.4. YSA Modelinin Tasarlanması 42
6. KÖŞE YAZILARI VERİLERİ 45
6.1. Verilerin Elde Edilmesi 45
6.2. Biçimsel Özelliklerin Elde Edilmesi 50
7. GELİŞTİRİLEN MODELLER 55
7.1. Yazar Tanıma Modelleri 55
7.2. Yazı Alanı (Türü) Tanıma YSA Modeli 72
7.3. Yazar ve Yazı Alanı (Türü) Tanıma YSA Modeli 75
7.4. K-NN (K Nearest Neighborhood) ile Yazar Tanıma 78
8. SONUÇ 83Günümüzde internetin sağladığı olanakların başında medya kaynaklarının hızlı olması, anonimliği ve her yerden erişiminin sağlanabilmesi gelmektedir. Bireylerin web siteleri, forumlar, e-postalar gibi ortamlarda gerçek kimliklerini kullanma zorunluluğu olmadığı için bu tür ortamlar iyi ya da kötü niyetle gerçek dışı kimlik kullanımı ve aynı zamanda gerçek olan ile olmayan arasında ayrım yapabilmeyi gerektirir. Bu bazen suçluların bazen fikri hakların bazen de basitçe isim benzerliklerinin çözümü içindir. Bir metnin incelenerek, kişilerin yazma alışkanlıkları ya da stilleri (biçimleri) analiz edilerek gerçek yazar(lar)ı hakkında bilgi sahibi olmamıza yazar tanıma çalışmaları yardımcı olmaktadır. Alanyazında yazar tanıma, yazarı belli olmayan ya da yazarından şüphe duyulan bir yazının yazarını belirleme işlemi olarak ifade edilmektedir. Geçmişten günümüze bu alanda farklı çalışmalar gerçekleştirilmiştir. Yazar tanıma, bir sınıflandırma problemi olarak ele alınmakta ve potansiyel şüpheliler grubundan en uygun yazarın belirlenmesi işlemi olarak ifade edilmektedir. Bu tez kapsamında Türkçe yazar tanıma çalışmalarında kullanılmak üzere köşe yazılarından oluşan geniş bir derlem oluşturulmuştur. Oluşturulan derlem siyaset, ekonomi, yaşam ve spor alanlarında yazılar yazan 167 köşe yazarına ait olan köşe yazılarından oluşmaktadır. Elde edilen modellerin başarısının değerlendirilmesi için farklı testler gerçekleştirilmiştir. Yapılan bu testler sonucunda elde edilen doğruluk (accuracy) değerleri 99% ile 74% arasında değişiklik göstermektedir. Ayrıca tez kapsamı içerisinde yazar tanıma çalışmasında kullanılan yazar özelliklerinin metin türü belirlemede ki başarısı değerlendirilmiş ve metin türü tanıma için farklı bir model önerilmiştir. Önerilen model bir yazının (metnin) ‘Yaşam’, ‘Siyaset’ ya da ‘Ekonomi’ alanlarından hangisine ait olduğunu göstermektedir. Yapılan deneyler sonucunda önerilen YSA (Yapay Sinir Ağları) modelinin doğruluk (accuracy) değeri 88% ile 70% arasında bulunmuştur. Yazar tanıma çalışma alanı için önerilen modellerin başarısının değerlendirilmesi için gözetimli öğrenme algoritmalarından biri olan k en yakın komşu (KNN) tercih edilmiştir. KNN ile yapılan deneysel çalışmalar sonucunda elde edilen doğruluk değerleri yazar tanıma için 62% olarak bulunmuştur. Bu tez kapsamında ayrıca farklı ihtiyaçlara cevap vermek ve önerilen yazar tanıma ve yazı türü tanıma modellerinin kararlılığını göstermek için hem yazar hem de yazı türü tanıyan hibrid bir YSA modeli de önerilmiştir
Chemically modified starch with silicon quantum dots: Structures and properties
No full textAfter the publication of the above article, a correction was received to remove the last author of this article “Yuksel Abalı”. This has been updated and the article has been republished online with updated author list as below:
Authors: Filiz Saman, Ebru Al, Bilge Boylu, and Osman ArslanAttachment of Silicon quantum dots (Si QDs) onto starch via sol-gel controlled covalent bonding to form hybrid starch particles was developed to modulate the optical, physical, and mechanical features of starch. Fabricated Si QDs chemically interacted with –OH side groups due to the sol-gel reactions on the starch molecules providing a detectable new molecular bonding to result in fluorescent emission. The produced structures formed nonlinear morphological orientations that provide a nanocomposite material platform for a facile molecular marking in daily applications.Istanbul Sabahattin Zaim University, IZU BAP Project: IZUOGR-2020-0
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