Zobrazeno 1 - 10
of 4 463
pro vyhledávání: '"Kaygusuz A"'
Autor:
Gülcan Kaygusuz, İrfan Kaygalak
Publikováno v:
Coğrafi Bilimler Dergisi, Vol 22, Iss 1, Pp 1-28 (2024)
This study focuses on possible impacts of urban renewal processes on Cemevies in case of İzmir metropolitan area by focusing on construction stories of cemevies. It claims neoliberal urbanism complicates the production of Cemevi and draws attenti
Externí odkaz:
https://doaj.org/article/87bfe3d713e944e8b2c5d0ac6983464f
Autor:
Özden Yaşarer, Emel Mete, Reyhan Kaygusuz Benli, Berivan Beril Kılıç, Halis Doğan, Zübeyir Sarı
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background The purpose of this study was to clarify the relationship between smartphone addiction and miyafascial trigger points in university students. Methods A cross-sectional study of university students was conducted for the purpose of
Externí odkaz:
https://doaj.org/article/37ba15194ac848ea965b03c72871ebcd
Intercity travel is one of the most important parameters for combating a pandemic. The ongoing COVID-19 pandemic has resulted in different computational studies involving intercity connections. In this study, the effects of intercity connections duri
Externí odkaz:
http://arxiv.org/abs/2207.01585
Publikováno v:
Anadolu Üniversitesi Eğitim Fakültesi dergisi, Vol 8, Iss 1, Pp 162-186 (2024)
During the university period, individuals join a social environment in which they learn to establish new relationships. The emergence of these new experiences can bring about interpersonal conflicts and the process of forgiveness. Disturbances in the
Externí odkaz:
https://doaj.org/article/ee686820805046d793fa641705ecb5df
Motion estimation approaches typically employ sensor fusion techniques, such as the Kalman Filter, to handle individual sensor failures. More recently, deep learning-based fusion approaches have been proposed, increasing the performance and requiring
Externí odkaz:
http://arxiv.org/abs/2206.12946
Autor:
Süleyman Yalçın, Yasemin Coşgun, Ege Dedeoğlu, Katharina Kopp, Fatma Bayrakdar, Gültekin Ünal, Biran Musul, Ekrem Sağtaş, Gülay Korukluoğlu, Philomena Raftery, Sedat Kaygusuz
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundTürkiye confirmed its first case of SARS-CoV-2 on March 11, 2020, coinciding with the declaration of the global COVID-19 pandemic. Subsequently, Türkiye swiftly increased testing capacity and implemented genomic sequencing in 2020. This p
Externí odkaz:
https://doaj.org/article/c45755b4ee54475c8513bbca9a5c36c9
Autor:
Hasan Cagri Yildirim, Fatih Kus, Deniz Can Guven, Ece Karaca, Yunus Kaygusuz, Omer Dizdar, Sercan Aksoy, Mustafa Erman, Suayib Yalcin, Saadettin Kilickap
Publikováno v:
Journal of Immunotherapy and Precision Oncology, Vol 6, Iss 4, Pp 170-176 (2023)
Introduction: Although immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, identifying factors that predict treatment response remains a challenge in clinical practice. There is a need for biomarkers to identify patients who may
Externí odkaz:
https://doaj.org/article/67323cc7fe9e425d97196951b9a3b644
Publikováno v:
Polish Journal of Pathology, Vol 74, Iss 3, Pp 219-222 (2023)
Angiosarcoma is a poor prognostic tumor observed less than 1% in soft tissue, while it is rarely detected in the endometrium and has been described in few case reports. In this report, we present a case of primary epithelioid angiosarcoma of endometr
Externí odkaz:
https://doaj.org/article/b1cd2e709ed54544a0a157f2bb7b8ab1
Publikováno v:
Научный диалог, Vol 12, Iss 7, Pp 330-345 (2023)
Revealing the specific portrayal of information about the Battle of Stalingrad in the English press during the Great Patriotic War, this article analyzes publications in the newspaper ‘British Ally,’ which was published in Great Britain in the Ru
Externí odkaz:
https://doaj.org/article/eb035b9e330b49a1a313940b097cab50
Publikováno v:
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2944-2949
Visual Odometry (VO) estimation is an important source of information for vehicle state estimation and autonomous driving. Recently, deep learning based approaches have begun to appear in the literature. However, in the context of driving, single sen
Externí odkaz:
http://arxiv.org/abs/2112.12818