WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Conference Object Thermal Stability and Conformational Changes of Ubiquitin Upon Interaction with Few-Layer Graphene: An Optical Spectroscopy Approach(Springer, 2025) Gencay, Burcu; Guler, GunnurConference Object Reagent-Free Urea Determination From Hemodialysis Fluid: Development of FT-IR Spectroscopic Strategies(Springer, 2025) Akyuz, Ersed; Tanrisev, Mehmet; Guler, GunnurConference Object Speckle Intensity Correlation Distribution Analysis Based on Coincidence Detection for Scattering Medium Characterization(IEEE, 2025) Yoldas, Cansu; Kisa, Alperen; Atac, Enes; Karatay, Anil; Dinleyici, Mehmet SalihCharacterizing a scattering medium is essential for understanding and controlling light propagation, enabling accurate imaging, correlation analysis, and material diagnostics in scientific applications. In this study, the scattering medium has been characterized by examining the spatial distribution of the second-order temporal correlation function of varying speckle patterns obtained under faint-light conditions using a charge-coupled device (CCD) camera. In the proposed method, the exposure time has been utilized as a self-coincidence circuit of the CCD. The spatial statistics of second-order temporal autocorrelation values have been analyzed through power spectral density and radial spatial autocorrelation function. The scattering degree of the medium has been determined using our proposed autocorrelation-based metric. The results from three different media have shown that the method is effective and holds potential for applications such as characterization through speckle imaging.Conference Object Using a Magnetic Column Separator to Determine the Magnetophoretic Behavior and Adhesion Characteristics of Oxygenated Sickle and Healthy Red Blood Cells(Elsevier, 2025) Iyer, Poornima; Choe, Hyeon; Rahman, Md Majidur; Strayer, Jacob; Wu, Xian; Landes, Kristina; Chalmers, JeffreyConference Object Citation - WoS: 10A Turkish Dataset for Gender Identification of Twitter Users(Assoc Computational Linguistics-ACL, 2019) Sezerer, Erhan; Polatbilek, Ozan; Tekir, SelmaAuthor profiling is the identification of an author's gender, age, and language from his/her texts. With the increasing trend of using Twitter as a means to express thought, profiling the gender of an author from his/her tweets has become a challenge. Although several datasets in different languages have been released on this problem, there is still a need for multilingualism. In this work, we propose a dataset of tweets of Turkish Twitter users which are labeled with their gender information. The dataset has 3368 users in the training set and 1924 users in the test set where each user has 100 tweets. The dataset is publicly available(1).Conference Object Applicability of Sound Criteria to Patients Undergoing Mastectomy(Springer, 2025) Ardila, Sara; Lupinacci, Kristin; Bayley, Erin; Cowher, Michael; Sabih, Quratulain; Steiman, Jennifer; Soran, AtillaConference Object Citation - WoS: 13Automatic HTML Code Generation from Mock-Up Images Using Machine Learning Techniques(IEEE, 2019) Asiroglu, Batuhan; Mate, Busra Rumeysa; Yildiz, Eyyup; Nalcakan, Yagiz; Sezen, Alper; Dagtekin, Mustafa; Ensari, TolgaThe design cycle for a web site starts with creating mock-ups for individual web pages either by hand or using graphic design and specialized mock-up creation tools. The mock-up is then converted into structured HTML or similar markup code by software engineers. This process is usually repeated many more times until the desired template is created. In this study, our aim is to automate the code generation process from hand-drawn mock-ups. Hand drawn mock-ups are processed using computer vision techniques and subsequently some deep learning methods are used to implement the proposed system. Our system achieves 96% method accuracy and 73% validation accuracy.Conference Object Intracerebroventricular Delivery of ASO in Combination With Anti-Inflammatory and Ketogenic Diet Treatment Reversed Neuropathology in the Tay-Sachs Disease Mouse Model(Wiley, 2025) Inci, O. K.; Ates, N.; Akyildiz-Demir, S.; Seyrantepe, V.Conference Object Therapeutic Potential of Intrathecal Delivery of Human Neu3 Sialidase in a Tay-Sachs Disease Mouse Model(Wiley, 2025) Basirli, H. H.; Seyrantepe, V.Conference Object Identification of Key Biological Pathways and Genes in Multiple Sclerosis Via Integrating Domain Knowledge Into the Machine Learning Model(Wiley, 2025) Ersoz, N. S.; Yousef, M.; Guner, S. Ayaz; Gungor, B.; Sen, A.
