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Article Mapping the Literature on Thermal Tourism: A Bibliometric and Content Analysis(Conscientia Beam, 2025) Alqaifi, Faten; Tengilimoglu, Dilaver; Aras, Ilknur ArslanThis study explores and maps the existing literature on thermal tourism to provide comprehensive insights and inform future research directions. The research design is based on a bibliometric analysis of 48 documents published between 2013 and 2023 and indexed in the Web of Science database. Data were processed and visualized using Microsoft Excel and Bibliometrix, followed by a content analysis of 42 English-language articles to capture thematic developments in the field. The findings indicate that, despite a temporary decline during the COVID-19 pandemic, publications on thermal tourism have shown strong growth and recovery, with an annual growth rate of 46.65%. The most significant contributions originated from Portugal, China, Spain, Taiwan, Turkey, and Japan, with research disseminated across 37 journals. Four central themes were identified: (1) tourist behaviors and satisfaction, (2) demand and motivations, (3) quality and resource management, and (4) strategic and sustainable development. Among these, tourist behaviors and satisfaction emerged as the most prominent research area, representing 38.10% of the analyzed literature. This paper addresses a gap in the literature by mapping the knowledge landscape in the relatively underexplored field of thermal tourism, highlighting its growth potential and proposing a future research agenda. The practical implications suggest that recognizing these trends and themes can help policymakers, industry stakeholders, and academics develop strategies to enhance sustainable practices and expand opportunities in thermal tourism.Article The Representation of Magical Doors in Mohsin Hamid's exit West(Forum Literary Voice, 2024) Aras, GoksenMohsin Hamid presents migration as one of the most debatable global themes in his Exit West (2017). The author fictionalises not only migrants' crises of dislocation in the contemporary world but also their escape to safety through magical means in his novel. Exit West mainly depicts the existential struggles and anxieties of the two migrants, Nadia and Saeed, and their toilsome experiences in their journey to the West after they leave their homeland. The two protagonists of the novel trespass physical borders and walls, like heavily guarded frontiers or oceans through magical doors to create themselves a safe space. It is clear from the very beginning of the novel that Nadia and Saeed try hard to survive in an unnamed South Asian country, which is fraught with political chaos, violence and bloodshed. Having been guided by a number of bribed dark agents, the couple flee their country by passing through some magical doors, towards a future marked by uncertainty and unpredictability. Their first Western destination is the Greek island of Mykonos where they settle in a refugee camp, their second destination is London, and the final stop is Marin, San Francisco. The objective of this paper is to explore the actual and symbolic function of magical doors as the main characters journey to the West to start a free and secure life.Conference Object Driving Conditions Leading To Thermal Runaway in Li-Ion Battery EV's(IEEE, 2024) Ertan, H. Bulent; Azuaje-Berbeci, Bernardo J.The adoption of high-energy-density lithium-ion batteries (LIB) as the energy source in electric vehicles (EV) introduces significant safety concerns. Thermal runaway (TR), a self-accelerating rise in battery temperature resulting in catastrophic failure, is a significant safety concern. Cooling system failure within the EV's thermal management system is one of several factors that can trigger TR. Typically, TR is initiated by exceeding a critical temperature threshold under abusive conditions. Understanding the operating conditions that lead to the path of TR is essential for ensuring EV and occupant safety. Recently, a detailed electrochemical-thermal model that incorporates the chemical reactions within the battery until TR is introduced. This paper aims to illustrate how this model can be used to identify the conditions leading to TR under realistic EV driving scenarios. For this purpose, an Advisor/Matlab-based model of a hybrid EV is developed and verified by tests, is used to estimate the current required from the vehicle's battery pack at a given driving condition. This is followed by the prediction of battery thermal response using the mentioned finite-element-analysis-based battery model. Several scenarios are tested in this paper to determine whether TR occurs and to identify the factors contributing to TR. This study aids in comprehending the factors that contribute to TR and the development of preventative measures for battery management system design.Conference Object Citation - WoS: 1Parking Space Occupancy Detection Using Deep Learning Methods(Ieee, 2018) Akinci, Fatih Can; Karakaya, MuratThis paper presents an approach for gathering information about the availabilty of the parking lots using Convoltional Neural Network (CNN) for image processing running on an embedded system. By using an efiicent neural network model, we made it possible to use a very low cost embedded system compared to the ones used in previous works on this topic. This efficient model's performance is compared to one of the models that proved its accuracy in image classification competitions. In these tests, we used datasets that has thousands of different images taken from parking lots in different light and weather conditions.Book Part The Intellectual Structure of Academic Studies on Blue-Collar Workers(Emerald Group Publishing Ltd, 2023) Asbas, Caner; Tuzlukaya, Sule; Eroglu, Halil; Kirkbesoglu, ErdemThe main purpose of the study is to examine the intellectual structure of academic studies on blue-collar workers. In this context, (1) productivity and evolution of the field, (2) conceptual dimensions, (3) citation density and (4) structure of academic networks related to blue-collar workers were analyzed. The findings of the study produced results covering all fields of science, not just management and organization. As a result of the study, blue-collar studies by years, the most cited blue-collar studies, the researchers who published the most frequently about blue-collar workers, the researchers who conducted the longest research on blue-collar workers, the most frequently used keywords and academic networks in blue-collar studies are determined. The most important finding is that the blue-collar issue is the common intersection point of different fields of science such as health, medicine, finance, management and organization, marketing, psychology and sociology.Conference Object Citation - WoS: 7Citation - Scopus: 13Utilization of Three Software Size Measures for Effort Estimation in Agile World: A Case Study(IEEE, 2022) Unlu, Huseyin; Hacaloglu, Tuna; Buber, Fatma; Berrak, Kivilcim; Leblebici, Onur; Demirors, OnurFunctional size measurement (FSM) methods, by being systematic and repeatable, are beneficial in the early phases of the software life cycle for core project management activities such as effort, cost, and schedule estimation. However, in agile projects, requirements are kept minimal in the early phases and are detailed over time as the project progresses. This situation makes it challenging to identify measurement components of FSM methods from requirements in the early phases, hence complicates applying FSM in agile projects. In addition, the existing FSM methods are not fully compatible with today's architectural styles, which are evolving into event-driven decentralized structures. In this study, we present the results of a case study to compare the effectiveness of different size measures: functional -COSMIC Function Points (CFP)-, event-based - Event Points-, and code length-based - Line of Code (LOC)- on projects that were developed with agile methods and utilized a microservice- based architecture. For this purpose, we measured the size of the project and created effort estimation models based on three methods. It is found that the event-based method estimated effort with better accuracy than the CFP and LOC-based methods.Article Creative Pattern Trials for Above the Keyboard Wear With Trompe L'oeil Illusion(Anadolu Univ, 2022) Aydeniz, Sena Surmeli; Cegindir, Nese YasarThe design scenario of this study is based on seeking answers to the question "How can we produce different, extraordinary and original shirts for working women with the Trompe l'oeil (illusion) technique?". The sample of the study, in which the user-oriented design research method was used, is women working above the keyboard. Within the scope of the study, three women's shirts were produced with creative pattern applications. The classical techniques known in garment production have been reconstructed with the Trompe l'oeil technique. The findings were discussed in two dimensions as the process carried out for these three shirts and the prototype evaluation. Osborn's checklist was used to create the design value of the shirts. For the evaluations of the marketability of the products, measurement was made in the form of voting over Google Forms. As a result of the voting, the first prototype was found to be more suitable for the target audience. Based on the individual comments received, it has been observed that originality varies when the position and needs of the target audience come into play. The importance of the user profile in creative product design has been understood.Conference Object Effects of BPR on ERP Implementation Success and Supply Chain Performance(Acad Conferences Ltd, 2012) Erkan, Erman; Bac, Ugur; Rouyendegh, Babak DaneshvarRecently, studies about the Enterprise Resource Planning (ERP) have been increased and this research area has attracted more attention. Especially, in the global competition environment, enterprises have to focus on their Information Systems (IS) performance to have a competitive advantage; implementing an ERP system and improving the effectiveness of the system is the only way. To do so; factors affecting the implementation success of ERP systems have to be inspected in pursuant of some performance measurements and metrics. Since unsuccessful ERP implementations result in high costs; use of these factors and making the necessary preparations will increase the chance of a successful ERP implementation. According to literature Business Process Reengineering (BPR) has a vital role on the ERP success. In this study, a research has been made on the Turkish enterprises to determine the criteria affecting their success on the implementation of ERP systems by the utilization of a questionnaire. Questionnaire results have been analyzed with statistical methods to summarize the current situation of IS structure, Information Management Systems integration level, ERP success rate and effects of BPR on this success rate in Turkish enterprises. Results of this study can be used to define the relation between the ERP and BPR. Understanding this relation is vital for the planned or ongoing ERP implementations. Factors and criteria found in this study which have effects on the ERP systems success should be considered during the implementation planning phase of these systems for efficiently managing the budget of projects. Importance of BPR which was emphasized in this study should be considered by the management of enterprises for evaluating their IS to determine if they are ready for the implementation phase. If they are not, findings will serve as a guideline for improving the chance of successful implementation and this will affect overall performance of the company. Results of this study can also be used in the future studies to compare international differences of IS structures and ERP implementation processes.Conference Object An Overview of Challenges To Long-Term Sustainability and Scalability of Radio Frequency Fingerprinting(IEEE, 2024) Demiroglu, Harun Senol; Awan, Maaz Ali; Kara, AliInternet of Things (IoT) technology has become ubiquitous with a broad spectrum of applications. This vast penetration entails formidable cyber-security for the stable operation of the associated systems. Most inexpensive IoT devices employ rudimentary cryptographic security mechanisms due to their resource-limited architecture. Radio frequency fingerprinting (RFF) is a physical layer security mechanism that leverages hardware impairments for authentication and device classification. To this end, its scope has been limited to academia owing to daunting challenges. In this work, an abridged overview of the state-of-the-art is provided, along with a summary of the challenges that hinder progress toward practical applications. The article culminates with a discussion on the intricacies of performance metrics in RFF and the direction for future research.Article A Computationally Efficient Approximation for Fractional Differencing: First-Order Operators(Pergamon-Elsevier Science Ltd, 2026) Omay, Tolga; Baleanu, DumitruThis paper introduces the First-Order Fractional Differencing (FOFD) operator that substantially reduces the computational burden of fractional differencing for large-scale applications. While the standard Gr & uuml;nwald-Letnikov (GL) operator requires O(T2) operations for a series of length T, and recent FFT-based methods achieve O(T log T), our FOFD operator requires only O(T) operations through a simple two-point recursion. We develop an optimal weight calibration framework that ensures this computational efficiency does not compromise statistical accuracy, deriving a general formula wopt = d & sdot; (1-0.9 rho)beta(p) that adapts to the persistence structure of autoregressive processes. Empirical applications demonstrate substantial improvements: for the Chicago Fed National Financial Conditions Index with extreme persistence (rho= 0.992), optimal weight calibration reduces approximation error by 93% while preserving the autocorrelation structure of the GL operator. For a series of 10,000 observations, our method requires 20,000 operations compared to 530,000 for FFT-based methods and 50 million for standard implementations-enabling fractional differencing in real-time and high-frequency contexts previously infeasible due to computational constraints. The method's simplicity, requiring no specialized libraries and providing direct implementation through our calibration formula, makes it immediately accessible to practitioners while maintaining the long-memory properties essential for financial time series modeling.
