State stigmatization in urban Turkey : Managing the 'insurgent' squatter dwellers in Dikmen Valley

This paper contributes to the accounts of territorial stigmatisation by examining the state role in it in the case of Turkey, a country that suffers from growing state power. The existing debates are mainly restricted to its function as an economic strategy paving the way for capital accumulation through devaluing working‐class people and places. Drawing on textual analysis of political speeches, local newsletters and mainstream national newspapers and fieldwork material that include interviews and observations in Dikmen Valley where some squatter communities mobilised against the state‐imposed urban transformation project, I demonstrate that state conceptualisation of “problem people” targets the “insurgent” rather than the “unprofitable” groups. Stigma in urban settings functions in inciting the desire to meet the patterns deemed appropriate by the state, rather than the market. Moving from that, I argue that stigma is used as a state‐led political strategy, which is integral to the growing authoritarianism in Turkey

The Effect of POS Tag Information on Sentence Boundary Detection in Turkish Texts [Türkçe Metinlerde POS Etiket Bilgisinin Cümle Sonu Belirlemeye Etkisi]

2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 --4 October 2018 through 6 October 2018 -- --Recently, Natural language processing (NLP) applications have been crucial by the increase in the amount of digitized written and oral text documents. As sentence boundary detection is the first step of most of the NLP applications, it has high importance. In this study, the effects of using POS (Part-of-Speech) tags on the performance of machine learning methodsbased sentence boundary detection from Turkish texts have been studied. To reach our goal, a dataset which contains 30000 instances such that 15000 of them are sentences and the remaining 15000 instances are non-sentence samples has been drawn from a subset of TNC (Turkish National Corpus). The sub-corpus has 10.000.000 words in total, and to develop the dataset, the characters which may represent the end of a sentence are searched from the sub-corpus, then the text is divided into pieces from these characters. Each piece is checked manually to label as sentence and non-sentence, and randomly 30000 instances are selected to form the dataset. Each instance in the dataset is converted to a vector by using total 9 attributes that are used in the rule-based sentence boundary detection studies and proposed in this study. After that two more attributes that are POS tags of the terms before and after the haracter that may represent the end of the sentence are included to the attribute set, and then the dataset is again converted to vectors by using these 11 attributes. The twodatasets are classified by using Back Propagation Neural Network, RBF Network, Naive Bayes classifier, Decision Tree, and Support Vector Machines to evaluate the performance of supervised learning methods on the sentence boundary detection. After the experimental evaluation we observed that, when POS tags are included, success of sentence boundary detection increases for all classifiers, and the most successful classifier is decision tree with classification accuracy which is improved from 84.7% to 86.2% when POS tags are considered. © 2018 IEEE

Karadeniz'in endemik kaya balıklarından neogobius platyrostris (gobiidae) morfolojik ve habitat karakteristikleri

The flat-snout goby (Neogobius platyrostris), which is an endemic species for the Black Sea, inhabits in marine ecosystem. The aim of the present study is to provide data on live colouration, head lateral line system, sexual dimorphism, morphometric and meristic features and habitat preferences of this goby. © Published by Central Fisheries Research Institute (CFRI) Trabzon Turkey

Salmo tigridis, a new species of trout from the Tigris River, Turkey (Teleostei: Salmonidae)

Zootaxa299323-3

Psychological adaptation of Turkish students at U.S. campuses

The number of Turkish citizens entering the U.S. for their studies is growing more rapidly than almost any other group. The purpose of the current study was to investigate how acculturation factors affect psychological adaptation of Turkish students in the U.S. One hundred and twenty-four Turkish students participated in the study. Regression analyses revealed that social support and self-esteem were predictors of psychological adjustment. Implications suggest that Turkish students, as with other international students as previous research has suggested, should have a strong network of both co-national students and other social connections. © 2009 Springer Science+Business Media, LLC

Genetic discrimination of two capoeta species in northeastern anatolia, using mitochondrial 16s rrna gene: (Osteichthyes: Cyprinidae)

The genetic discrimination of two species of the genus Capoeta, C. tinca (Heckel, 1843) and C. banarescui Turan et al., 2006, which is represented by many endemic species in Anatolian Turkey, has been investigated by analysing the partial 16S ribosomal DNA gene (525 bp). A total of 85 fish was sampled from two localities in the Marmara basin and 5 localities in the Black Sea basin. The amount of 16S rDNA sequence divergence separating these two taxa (mean 1.19%) is within the range observed for 16S rDNA variation between other species of freshwater fishes. The derived haplotypes (h: 28) were strictly local and were not shared between species or populations within species. Three types of phylogenetic tree (Bayesian, MP and ML) clearly showed C. banarescui and C. tinca as distinct species separated with significant bootstrap values (BI:94, MP:88, ML:81), confirming previous conclusions based on morphometric and meristic characters. Furthermore, four novel SNPs were identified, allowing discrimination between two species. AMOVA tests revealed that populations of Capoeta in Northeastern Anatolia can be divided into two main groups: Coruh River group, including SVS, TRT and ISP populations, and Yesilirmak-Harsit group, consisting of ALC and HRS populations. These results indicate the effectiveness of mitochondrial 16S rDNA gene sequences for both species identification and the phylogenetic analysis of Capoeta species. © Kasparek Verlag, Heidelberg.2011.103.01.2 Karadeniz Teknik Üniversitesi: 2006.111.04.1validity of these diagnostic positions was supported by the geographic distributions of the analysed samples.Acknowledgements. We would like to thank D. TURAN for his technical support and valuable suggestions and the Scientific Research Fund of Karadeniz Technical University (Project No: 2006.111.04.1) and Rize University (Project No: 2011.103.01.2) for financial suppor