WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Browsing WoS İndeksli Yayınlar Koleksiyonu by Department "AGÜ"
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Article Citation - WoS: 7Citation - Scopus: 8Parenting and Education: Navigating Class, Religiosity and Secularity in Istanbul(Routledge Journals, Taylor & Francis Ltd, 2023) Kolluoglu, Biray; Dincer, Evren M.This article studies the educational choices that secular and religious professional and managerial middle-class parents in Istanbul make for their children. It explores the ways in which class intersects with religion in Turkey where, politics, culture, social, and even economic life are marked by a deep divide among the religious and the secular. Focusing on a particular segment of the middle classes, that with higher economic and social capital, the article brings to fore the ways in which religiosity and secularity structure the processes of transforming privileges into acquired rights in the form of educational qualifications and extracurricular skills. It explores the current sociological conjuncture that bereaves both groups, albeit in different ways, of their ability to fully mobilize their accumulated economic, social, and cultural capitals in reproducing their class position in their children. The article argues that exploring the parenting of education along the secular and the religious divide can unravel the foundational elements of the ongoing competition and conflict in Turkey and enables a deeper understanding of the current divide and the potential for a future reconciliation. The study relies on a qualitative study that entails interviews with thirty families and two focus groups.Article A New Approach for Numerical Solution of Linear and Non-Linear Systems(Korean Soc Computational & Applied Mathematics & Korean Sigcam, 2017) Zeybek, Halil; Dolapci, Ihsan TimucinIn this study, Taylor matrix algorithm is designed for the approximate solution of linear and non-linear differential equation systems. The algorithm is essentially based on the expansion of the functions in differential equation systems to Taylor series and substituting the matrix forms of these expansions into the given equation systems. Using the Mathematica program, the matrix equations are solved and the unknown Taylor coefficients are found approximately. The presented numerical approach is discussed on samples from various linear and non-linear differential equation systems as well as stiff systems. The computational data are then compared with those of some earlier numerical or exact results. As a result, this comparison demonstrates that the proposed method is accurate and reliable.Conference Object Citation - WoS: 1Citation - Scopus: 2Vision-Based Autonomous Aerial Refueling(Amer Inst Aeronautics & Astronautics, 2022) Erkin, Tevfik; Abdo, Omer; Sanli, Yilmaz; Celik, Harun; Isci, HasanAerial refueling tasks are very challenging due to the high risk of aircraft close proximity. Currently, within the drogue-probe method, the receiver aircraft pilot manages the refueling task in accordance with the tanker aircraft pilot. Therefore, autonomous aerial refueling is still an unaccomplished task for aircrafts. In this paper, a fully automated aerial refueling procedure based on digital visual inspection is proposed. A nonlinear dynamic model of receiver aircraft is derived to track the motion of drogue. In order to control the receiver aircraft affected by tanker aircraft vortex during approach, and ensure the receiver aircraft to automatically track and dock the tanker aircraft, an autopilot system that considers visual sensing of drogue motion is designed. The receiver aircraft is controlled by the autopilot system via translational motion of tanker aircraft projected by a cameramounted on the receiver aircraft. Thanks to this vision-based controllers, the need of tanker aircraft positioning is denied since camera projection has the capability of perception of three-dimensional direction of tanker aircraft. In order to test the autopilots include vision-based controllers and algorithms, the vision-based autonomous aerial refueling is operated under presence of turbulence and vortex. Finally, the simulation results demonstrate that the proposed guidance-navigation-control system achieve aerial refueling autonomously, and make it feasible and realizable for aircrafts.Article Citation - WoS: 15Citation - Scopus: 18A Mathematical Model With Piecewise Constant Arguments of Colorectal Cancer With Chemo-Immunotherapy(Pergamon-Elsevier Science Ltd, 2023) Bozkurt, Fatma; Yousef, Ali; Bilgil, Halis; Baleanu, DumitruWe propose a new mathematical model with piecewise constant arguments of a system of ODEs to investigate the growth of colorectal cancer and its response to chemo-immunotherapy. Our main target in this paper is to analyze and represent the I.S.'s (immune system) efficiency during the chemotherapeutic process. Therefore, we proved and illustrated the necessity of IL-2 that supports the immune system, especially in early-detected cases of tumor density. Thus, the constructed model has been divided into sub-systems: the cell populations, the effects of the medications doxorubicin, and IL-2 concentration.Firstly, we analyze the stability of the equilibrium points (disease-free and co-existing) using the RouthHurwitz criteria. In addition, our study has shown that the system undergoes period-doubling, stationary and Neimark-Sacker bifurcations based on specific conditions. In the end, we illustrate some simulations to assist the theory of the manuscript.Article Citation - WoS: 4Citation - Scopus: 12Raising Awareness of Sustainable Development Goals in Higher Education Institutions(Turkish Educational Admin Research & Development Assoc, 2024) Suklun, Harika; Bengu, ElifHigher education institutions play a crucial role in advancing sustainable development goals. They bear the responsibility of informing and encouraging all stakeholders, including faculty members, students, and industry partners, to collaborate towards achieving these goals. While many universities are integrating Sustainable Development Goals into their operations and educational programs, there is an increasing need to establish collaborative platforms with private sectors and nongovernmental organizations to further champion this agenda. Educating the future workforce is a key responsibility of these institutions, and they should actively raise students' awareness of these goals, enabling them to develop competencies related to sustainability. This study aims to explore how higher education institutions can effectively raise awareness of sustainable development goals. In addition, the research contributes to the literature by presenting a curriculum designed in a Turkish higher education institution to foster awareness of sustainable development goals. The findings hold the potential to significantly enrich existing literature on awarenessraising practices and the promotion of sustainability strategies, extending beyond higher education institutions to organizations at large.Article Citation - WoS: 16Citation - Scopus: 14Comparison of Photocatalytic and Adsorption Properties of ZnS@ZnO, CdS@ZnO, and PbS@ZnO Nanocomposites to Select the Best Material for the Bifunctional Removal of Methylene Blue(Amer Chemical Soc, 2025) Bayram, Umit; Ozer, Cigdem; Yilmaz, ErkanIn this study, photocatalytic- and adsorption-based removal processes were conducted, which are frequently preferred in wastewater treatment due to their ease of control and high removal efficiency. An innovative method aimed at wastewater treatment was developed by combining the advantages of these two distinct approaches within the same material. The study synthesized ZnO, ZnS, CdS, PbS, and their composite structures (ZnS@ZnO, CdS@ZnO, and PbS@ZnO) using a hydrothermal synthesis method. Characterization of the samples was performed through field emission-scanning electron microscopy (FE-SEM), FE-SEM-energy dispersive X-ray (FE-SEM-EDX), X-ray diffraction (XRD), Raman spectroscopy, and Fourier-transform infrared spectroscopy (FTIR) measurement. Additionally, the optical properties of all samples (absorption spectra and band gap) were investigated by using absorbance measurements obtained from ultraviolet (UV)-visible absorption spectroscopy. Although ZnO nanoparticles are among the materials with high photocatalytic properties (exhibiting a photodegradation efficiency of 95.8% in a short duration of 90 min), their adsorption properties are low. Therefore, with the aim of enhancing both the low adsorption values and the photocatalytic properties of pure metal sulfides (ZnS, CdS, PbS), nanocomposites ZnS@ZnO, CdS@ZnO, and PbS@ZnO with different morphologies were synthesized, and their photocatalytic and adsorption-based removal performances on methylene blue (MB) dye were investigated. FE-SEM images indicated that ZnS nanoparticles exhibit a spherical morphology, CdS nanoparticles have a flower-like morphology, and PbS nanoparticles display a dendritic-like structure. The results obtained from experimental studies demonstrated that the highest efficiency in both photocatalytic- and adsorption-based removal was achieved with the ZnS@ZnO nanocomposite. The degradation rates of MB were found to be 95.3, 90.5, and 89.4% for the heterojunction composites ZnS@ZnO, CdS@ZnO, and PbS@ZnO, respectively, over a time range of 0-480 min. The optimal amount of photocatalyst that could effectively degrade MB was determined to be 100 mg, and the reusability studies revealed that the ability of the ZnS@ZnO semiconductor heterojunction photocatalyst to decompose MB into simpler molecules was limited after the fourth cycle. The adsorption-based removal rates were 96.0, 30.5, and 19.4% for the heterojunction composites ZnS@ZnO, CdS@ZnO, and PbS@ZnO, respectively. Finally, parameters influencing the adsorption-based removal of MB, such as pH, mass, and contact time, were examined, indicating that the adsorption capacity of ZnS@ZnO remained unchanged after reaching a value of 40 mgg-1.Article Citation - WoS: 1Citation - Scopus: 1Exploring Transdisciplinary Interaction in Higher Education: Urbanism Through Informal Learning Environment(Emerald Group Publishing Ltd, 2025) Kesim, Berk; Bengu, ElifPurposeThis study aims to explore interdisciplinary and transdisciplinary interactions around sustainability, focusing on the United Nations sustainable development goals (SDGs). By using the city as an informal learning space, it presents a case study to raise SDG awareness, promote interdisciplinarity, foster critical thinking and empower students.Design/methodology/approachUsing qualitative content analysis, this study explores students' interdisciplinary engagements. The research centers on student-created Logbooks, combining field data for analysis via open coding.FindingsThe informal setting facilitates transdisciplinary interaction and enriches interdisciplinary skills while retaining individuals' disciplinary tendencies.Research limitations/implicationsFactors like local geographical conditions and participant numbers could lead to minor variations in future course applications. Although initial problem topics and discussions are confined to local urban geography, they might diversify during implementation.Practical implicationsThe Logbook serves as a guide for local urban issues and embodies interdisciplinary outcomes. It can be enhanced with maps and problem zoning.Social implicationsDemonstrates effective SDG integration into higher education.Originality/valueThis study spotlights interdisciplinary learning within an unconventional context - urbanism - bridging student gaps. Supported by a paradigm shift from sustainability to unsustainability, it underscores the significance of critical engagement with SDGs.Article Citation - WoS: 1Examining Tongue Movement Intentions in EEG-Based BCI With Machine and Deep Learning: An Approach for Dysphagia Rehabilitation(Sciendo, 2024) Aslan, Sevgi Gokce; Yilmaz, BulentDysphagia, a common swallowing disorder particularly prevalent among older adults and often associated with neurological conditions, significantly affects individuals' quality of life by negatively impacting their eating habits, physical health, and social interactions. This study investigates the potential of brain-computer interface (BCI) technologies in dysphagia rehabilitation, focusing specifically on motor imagery paradigms based on EEG signals and integration with machine learning and deep learning methods for tongue movement. Traditional machine learning classifiers, such as K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree, Naive Bayes, Random Forest, AdaBoost, Bagging, and Kernel were employed in discrimination of rest and imagination phases of EEG signals obtained from 30 healthy subjects. Scalogram images obtained using continuous wavelet transform of EEG signals corresponding to the rest and imagination phases of the experiment were used as the input images to the CNN architecture. As a result, KNN (79.4%) and SVM (63.4%) exhibited lower accuracy rates compared to ensemble methods like AdaBoost, Bagging, and Random Forest, all achieving high accuracy rates of 99.8%. These ensemble techniques proved to be highly effective in handling complex EEG datasets, particularly in distinguishing between rest and imagination phases. Furthermore, the deep learning approach, utilizing CNN and Continuous Wavelet Transform (CWT), achieved an accuracy of 83%, highlighting its potential in analyzing motor imagery data. Overall, this study demonstrates the promising role of BCI technologies and advanced machine learning techniques, especially ensemble and deep learning methods, in improving outcomes for dysphagia rehabilitation.Article Citation - WoS: 108Citation - Scopus: 118Investigation of Corrosion Inhibition Effect of 3-[(2 on Corrosion of Mild Steel in the Acidic Medium)](Pergamon-Elsevier Science Ltd, 2013) Doner, Ali; Sahin, Ece Altunbas; Kardas, Gulfeza; Serindag, OsmanThe corrosion behavior of mild steel (MS) in 0.5 M H2SO4 was studied using 3-[(2-hydroxy-benzylidene)-amino]-2-thioxo-thiazolidin-4-one (HBTT) as inhibitor using the conventional potentiodynamic polarization studies, linear polarization studies (LPR), electrochemical impedance spectroscopy studies (EIS). SEM was utilized for surface characterization. The results showed that HBTT posses excellent inhibition effect towards MS corrosion. The inhibitor molecules were first adsorbed on the MS surface and blocking the reaction sites available for acid attack. Adsorption of inhibitor was found to obey Langmuir isotherm and was more chemical than physical. (C) 2012 Elsevier Ltd. All rights reserved.
