Výsledky vyhledávání - "Sinan Saraçlı"

Akademický článek

Conjunctival Impression Cytology and Tear Film Changes in Sarcoidosis: A Subjective and Objective Diagnosis Study

Autor: Özgür Eroğul, Aydın Balcı, Hamidu Hamisi Gobeka, Neriman Efe, Müberra Akdoğan, Ayşe Yeşim Oral, Mustafa Doğan, Çiğdem Özdemir, Murat Kaşıkçı, Sinan Saraçlı

Publikováno v: Türk Oftalmoloji Dergisi, Vol 53, Iss 4, Pp 200-205 (2023)

Objectives:To evaluate sarcoidosis-induced tear film changes using subjective and objective diagnostic tests, particularly conjunctival impression cytology (IC), and to compare the results with healthy individuals.Materials and Methods:This study eva

Externí odkaz: https://doaj.org/article/d75ca04568a24af4a97b2d54c2556a27

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Akademický článek

Üniversite Öğrencilerinin Şehir Algı ve Tutumlarının İncelenmesi: Afyonkarahisar İli Örneği

Autor: Sinan Saraçlı, Mehmet Karakaş, Ahmet Ayhan Koyuncu

Publikováno v: Kocatepe İslami İlimler Dergisi, Vol 6, Iss 1, Pp 1-19 (2023)

Türkiye’de son 20 yılda Yüksek Öğretimde bir atılım gerçekleştirilmiş ve her ilde en az bir üniversite kurulmuştur. Üniversite sayısının artmasıyla birlikte öğrencilerin üniversite tercihleri daha önemli hale gelmiş ve bu konu

Externí odkaz: https://doaj.org/article/8ac7489a7344401cb1c17a11f9245ae7

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Akademický článek

Service quality, outpatient satisfaction and loyalty in community pharmacies in Turkey: A structural equation modeling approach

Autor: İsa Gül, Ender Tunçer Helvacıoğlu, Sinan Saraçlı

Publikováno v: Exploratory Research in Clinical and Social Pharmacy, Vol 12, Iss , Pp 100361- (2023)

Background: The sustainability of community pharmacy services is dependent on service quality, patient satisfaction, and patient loyalty. While community pharmacies are perceived as medical units in terms of drug dispensing, they are also businesses

Externí odkaz: https://doaj.org/article/3ceea5d871ed423d8ba8847800aaafb3

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Akademický článek

Artificial Neural Network approach on Type II Regression Analysis

Autor: Berkalp Tunca, Sinan Saraçlı

Publikováno v: Alphanumeric Journal, Vol 9, Iss 2, Pp 247-258 (2021)

In this study, the Artificial Neural Network (ANN) approach was applied to the OLS-Bisector technique, which is one of the Type II Regression techniques, through this study. In order to measure the performance of this newly created ANN-Bisector techn

Externí odkaz: https://doaj.org/article/bb4213962be14890b8bf7fb13b9abaec

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Akademický článek

Performance Of Shannon's Maximum Entropy Distribution Under Some Restrictions: An Application On Turkey's Annual Temperatures

Autor: Hatice Çiçek, Sinan Saraçlı

Publikováno v: Alphanumeric Journal, Vol 3, Iss 1, Pp 7-14 (2015)

Entropy has a very important role in Statistics. In recent studies it can be seen that entropy started to take place nearly in every brunch of science. In information theory, entropy is a measure of the uncertainty in a random variable. While there a

Externí odkaz: https://doaj.org/article/61aef772cce04972a85f65838ea9aa71

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Akademický článek

Joinpoint Regression Analysis and an Application on Istanbul Stock-Exchange

Autor: Huriye Telli, Sinan Saraçlı

Publikováno v: Alphanumeric Journal, Vol 2, Iss 1, Pp 43-49 (2014)

Joinpoint Regression Analysis is one of the statistical methods used to identify the best-fitting points if there is a statistically significant change in the trend. The aim of this study is to apply joinpoint regression analysis in the stock market

Externí odkaz: https://doaj.org/article/e727ccd64bdc435782b65b138494ea8c

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Tendencies of Visiting the Cinema and Watching Television: Students of the Cinema and Television Department at AfyonKocatepe University

Autor: Sena Coşkun, Sinan Saraçlı

Publikováno v: European Journal of Interdisciplinary Studies. 5:95

Cinema and television play an important role in mass media. In the cinematic context, the field of cultural studies, which explores what the audience watches, tries to shed light on the psychosocial needs of the target audience and the cultural struc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a50bbf8741d54da4fe7cd26f8db19c5
https://doi.org/10.26417/ejis.v5i2.p95-107

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