Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12469/1248

Browse

Now showing 1 - 20 of 3165

Barbieist vs. Oppenheimerist: A Gender-Based Reception Study of Barbie in Turkey
(Bloomsbury Publishing Plc., 2026) Behlil, M.; Erdede, R.D.
Deep Learning-Based Average Shear Wave Velocity Prediction Using Accelerometer Records
(International Association for Earthquake Engineering, 2024) Yilmaz, B.; Türkmen, M.; Meral, S.; Akagündüz, E.; Tileylioglu, S.
Assessing seismic hazards and thereby designing earthquake-resilient structures or evaluating structural damage that has been incurred after an earthquake are important objectives in earthquake engineering. Both tasks require critical evaluation of strong ground motion records, and the knowledge of site conditions at the earthquake stations plays a major role in achieving the aforementioned objectives. Site conditions are generally represented by the time-averaged shear wave velocity in the upper 30 meters of the geological materials (Vs30). Several strong motion stations lack Vs30 measurements resulting in potentially inaccurate assessment of seismic hazards and evaluation of ground motion records. In this study, we present a deep learning-based approach for predicting Vs30 at strong motion station locations using three-channel earthquake records. For this purpose, Convolutional Neural Networks (CNNs) with dilated and causal convolutional layers are used to extract deep features from accelerometer records collected from over 700 stations located in Turkey. In order to overcome the limited availability of labeled data, we propose a two-phase training approach. In the first phase, a CNN is trained to estimate the epicenters, for which ground truth is available for all records. After the CNN is trained, the pre-trained encoder is fine-tuned based on the Vs30 ground truth. The performance of the proposed method is compared with machine learning models that utilize hand-crafted features. The results demonstrate that the deep convolutional encoder based Vs30 prediction model outperforms the machine learning models that rely on hand-crafted features. This suggests that our computational model can extract meaningful and informative features from the accelerometer records, enabling more accurate Vs30 predictions. The findings of this study highlight the potential of deep learning-based approaches in seismology and earthquake engineering. © 2024, International Association for Earthquake Engineering. All rights reserved.
Introduction: Interdisciplinary Research in Tourism: An Overview
(Taylor and Francis, 2026) Wen, J.; Kozak, M.; Aston, J.; Wang, W.
Tourism has long been recognized as a multifaceted domain that intersects with numerous aspects of society, culture, environment, politics, and the economy. As a socio-economic activity, tourism influences and is influenced by a wide array of forces, ranging from globalization and technological innovation to demographic shifts and geopolitical tensions. Consequently, tourism is not only an object of academic inquiry within its own right but also a phenomenon that offers fertile ground for engagement across disciplinary borders. Historically, tourism research emerged from a range of parent disciplines, including geography, economics, sociology, anthropology, and business studies. While this multidisciplinarity enriched the field in its formative years, it also led to a fragmented body of knowledge lacking unified theoretical development. © 2026 selection and editorial matter, Jun Wen, Metin Kozak, Joshua Aston and Wei Wang; individual chapters, the contributors.
Interdisciplinary Research and Tourism
(Taylor and Francis, 2026) Wen, J.; Kozak, M.; Aston, J.; Wang, W.
This significant book sheds light on the possibilities and importance of undertaking interdisciplinary research between tourism and adjacent disciplines in order to further promote the values and contributions of tourism research in both academia and society. The book critically explores the nexus between interdisciplinary research and tourism while also unpacking methods of tourism education through the lens of interdisciplinary research. Drawing on cutting-edge interdisciplinary tourism research, this volume ranges across various geographical regions and covers important contemporary themes such as gender tourism, senior leisure tourism, and the impacts of health and wellbeing on tourism experience. Written by leading academics, this insightful volume will be of interest to students and researchers working in tourism, sociology, anthropology, geography, and related disciplines. © 2026 selection and editorial matter, Jun Wen, Metin Kozak, Joshua Aston and Wei Wang; individual chapters, the contributors.
Academic Freedom in the Tourism and Hospitality Literature: A Review and Call for Action
(Taylor and Francis, 2026) Wen, J.; Kozak, M.; Hu, F.
Academic freedom, the cornerstone of intellectual inquiry, has been a subject of reflection and debate. Whereas it is a fairly common topic in disciplines such as higher education, relevant discussion in tourism and hospitality is limited: a systematic review, described in this chapter, revealed a mere five articles within the literature in this field. The chapter highlights the need to focus on academic freedom from an interdisciplinary perspective in order to further develop tourism and hospitality's reputation. A call for action is made by underlining potential constraints to academic freedom in this context and how removing these barriers can promote innovation and nurture a new generation of professionals. Overall, more voices and joint efforts are needed to foster academic freedom. © 2026 selection and editorial matter, Jun Wen, Metin Kozak, Joshua Aston and Wei Wang; individual chapters, the contributors.
Evaluating the Impact of Independent Auditing on the Sustainability Performance of Freight Transportation in a Type-2 Neutrosophic Fuzzy Environment
(Springer Nature, 2026) Faruk Görçün, Ö.F.; Durmuş, C.N.; Şener, S.; Çanakçioğlu, M.
This study addresses freight transport firms’ challenge of assessing financial audit practices on sustainability and financial performance under high uncertainty. Limited sector-specific research hinders prioritization. A Type-2 Neutrosophic Fuzzy Sets (T2NFS)-based Gray Relational Analysis (GRA) method is proposed, where T2NFS handles expert judgment ambiguity and GRA ranks audit alternatives. Findings show “Contribution to Sustainability” (C10) as the top criterion and “FD-07 Receivables and Payables Aging Analysis” as the most critical audit practice. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Gender Tourism: An Interdisciplinary Perspective
(Taylor and Francis, 2026) Chalermchaikit, V.; Kozak, M.
This chapter explores the concept of gender tourism through interdisciplinary dimensions, emphasizing the importance of gender in shaping tourism practices and experiences. It highlights the integration of gender studies with tourism, focusing on how different genders—male, female, and alternative genders such as LGBTQ+—interact with and influence the tourism industry. Also, it identifies distinct gender roles and behaviors in tourism, noting how these roles affect travel behavior, participation in activities, and decision-making processes. The authors discuss the linkage between tourism and gender distribution, underlining the significance of gender perspectives in tourism development and career advancement while examining gender motivations and detailing how push and pull factors differ across genders and influence travel decisions. Furthermore, the chapter addresses positive attitudes toward gender tourism, stressing the benefits of understanding and accommodating diverse gender perspectives for sustainable tourism practices throughout the relevant analysis. The chapter concludes with a conceptual framework based on four dimensions: gender roles, the linkage of tourism and gender distribution, gender motivations, and positive attitudes toward gender tourism. These dimensions provide a comprehensive understanding of gender tourism, offering valuable insights for stakeholders to develop inclusive and sustainable tourism strategies via the areas of gender tourism. © 2026 selection and editorial matter, Jun Wen, Metin Kozak, Joshua Aston and Wei Wang; individual chapters, the contributors.
Feedback-Based Quantum Algorithm for Excited States Calculation
(Institute of Electrical and Electronics Engineers Inc., 2026) Abdul Rahman, S.A.; Karabacak, Ö.; Wisniewsk, R.
Recently, feedback-based quantum algorithms have been introduced to calculate the ground states of Hamiltonians, inspired by quantum Lyapunov control theory. This paper aims to generalize these algorithms to the problem of calculating an eigenstate of a given Hamiltonian, assuming that the lower energy eigenstates are known. To this aim, we propose a new design methodology that combines the layer wise construction of the quantum circuit in feedback-based quantum algorithms with a new feedback law based on a new Lyapunov function to assign the quantum circuit parameters. We present two approaches for evaluating the circuit parameters: one based on the expectation and overlap estimation of the terms in the feedback law and another based on the gradient of the Lyapunov function. We demonstrate the algorithm through an illustrative example and through an application in quantum chemistry. To assess its performance, we conduct numerical simulations and execution on IBM's superconducting quantum computer. © 2020 IEEE.
Screen Media Exposure and Inhibitory Control: A Longitudinal Study from Infancy to Toddlerhood
(John Wiley and Sons Inc, 2026) Uzundag, B.A.; Güven, İ.N.; Sivis, Ö.; Başpınar, G.
Inhibitory control, a core executive function, supports children's ability to manage automatic and prepotent responses and regulate behavior. Screen media may disrupt its development by displacing activities supporting self-regulation or overstimulating the attention system. While findings in preschoolers are mixed, infancy and toddlerhood may represent particularly sensitive periods due to young children's strong reliance on social learning and their limited ability to process screen content. This longitudinal study examined associations between toddlers' inhibitory control and both the duration and context of screen media exposure, specifically, background television and parental use of media for emotion regulation. Data were collected from 75 infants and their mothers at Time 1 (infant age range = 9–16 months; M = 11.8, SD = 1.4) and again approximately 19 months later at Time 2 (infant age M = 31.1, SD = 1.8). Mothers reported on screen time and background television at both times and on media emotion regulation at Time 2. At Time 2, children completed two inhibitory control tasks (Prohibition and Reverse Categorization), and parents rated their children's inhibitory control. Greater background television exposure at Time 2 was linked to poorer performance on both behavioral tasks. Higher screen time at Time 2 predicted shorter delay of gratification in the Prohibition Task, after controlling for age, earlier screen time, and the time interval between assessments. Parental ratings of inhibitory control were not associated with screen media use. These findings point to a potential association between greater screen exposure, namely background television and overall duration, and lower inhibitory control skills during a sensitive period, independent of parental perception. © 2026 International Congress of Infant Studies.
Informed Trading through the COVID-19 Pandemic: Evidence From the Bitcoin Market
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Mavropoulos, T.; Ersan, O.; Demir, E.
We investigate informed trading in the Bitcoin market throughout the COVID-19 pandemic. Compared to the pre-pandemic period, we find that informed trading is significantly higher in the affective first stage of the pandemic, before reverting to its pre-COVID-19 level during the later stage of the pandemic. Furthermore, information asymmetry tends to increase in daily COVID-19-related news: confirmed cases and deaths. Our findings are robust to alternative parameters and model specifications. The main implication for traders is that they should be extra cautious in timing their trading decisions during such events, as these tend to encourage informed trading. © 2026 by the authors.
Heterodox Theories of Economic Growth
(Taylor and Francis, 2025) Orhangazi, Ö.
In this chapter, I present an overview of the foundational ideas and main issues in heterodox growth theories, paying specific attention to Post Keynesian and Marxian contributions. Although it is not possible to do justice to the whole heterodox literature on economic growth within one chapter, this chapter is intended as an accessible entry point to the many different ways of heterodox growth theorizing. To that end, I set aside the details of the formal theoretical models as well as issues of economic development and the link between growth and development. I start in the next section with Post Keynesian models in general, then move on to models that focus on growth in developing countries, and finally discuss various Marxian approaches to economic growth. In the following section, I outline some common features of various heterodox growth theories and discuss the relevance of heterodox growth theories with respect to the recent ‘secular stagnation’ debate. Finally, I present a brief overview of recent work that is critical of growth itself. © 2026 selection and editorial matter, Tae-Hee Jo, Lynne Chester, and Carlo D’Ippoliti; individual chapters, the contributors.
Robust Passivity-Based Control Integrated with UDE Strategy for Grid-Tied Inverter
(Kauno Technologijos Universitetas, 2025) Uslu, U.A.; Aydemir, M.T.
Uncertainties caused by parametric variations, external disturbances, and modelling errors of grid-tied inverters (GTI) make it challenging to select a proper gain for the desired controller. The performance of conventional passivity-based controller (PBC), which depends on a strictly accurate mathematical model of the system, is seriously deteriorated due to having poor robustness against parametric uncertainties and disturbances. To this end, this paper presents an improved passivity-based controller scheme assisted with uncertainty and disturbance estimator (UDE) for GTI. The UDE that has been adopted into the proposed UDE-PBC loops is used to simultaneously estimate uncertainties, which can achieve robust control and provide zero steady-state error. Moreover, the proposed UDE-PBC enables a two-degree-of-freedom (2DOF) control structure; one dedicated for disturbance rejection and the other for closed-loop tracking response of GTI system. The effectiveness of the proposed control scheme has been verified in an experimental prototype of 2 kW and compared with the base controllers in terms of robustness and transient response. © 2025, Kauno Technologijos Universitetas. All rights reserved.
Policy Advice and Capacity
(Edward Elgar Publishing Ltd., 2025) Bali, A.S.; Coban, M.K.
Policy advice is understood as the production of knowledge about public policy problems and how those can be ameliorated. Policy advice, however, is intricately linked with the capacity or the skills and competencies of public actors. This chapter focusses on the relationship between policy advice and capacity. The chapter advances two arguments. First, effective policy advice requires a range of capacities - analytical, operational, and political - to understand problems and how they can be addressed. Second, policy advice must recognise the constraints of the capacity of public actors. Put differently, no amount of expertise or policy knowledge of problems and solutions matter if there are deficiencies on the part of the public actor to operationalise that advice. © The Editors and Contributors Severally 2025.
Tracking Worker Deaths in Turkey
(Taylor and Francis, 2025) Dağ, P.
Documenting worker deaths in Turkey to advocate for improved working conditions. © All authors / Taylor & Francis Group 2021.
Retracted: A Nano-Scale Design of a Multiply-Accumulate Unit for Digital Signal Processing Based on Quantum Computing (Retracted Article)
(Springer, 2024) Ahmadpour, Seyed-Sajad; Navimipour, Nima Jafari; Yalcin, Senay; Bakhshayeshi Avval, Danial; Ul Ain, Noor
Digital signal processing (DSP) is used in computer processing to conduct different signal-processing tasks. The DSPs are used in the series numbers representing a continuous variable in a domain such as time, area, or frequency. The multiply-accumulate (MAC) unit is crucial in various DSP applications, including convolution, discrete cosine transform (DCT), Fourier Transform, etc. Thus, all DSPs contain a critical MAC unit in signal processing. The MAC unit conducts multiplication and accumulation operations for continuous and complicated DSP application processes. On the other hand, in the MAC structure, the stability of the circuit and the occupied area pose some significant challenges. However, high-performance quantum technology can easily overcome all the previous shortcomings. Hence, this paper suggests an efficient MAC for DSP applications using a Vedic multiplier, half adder, and accumulator based on quantum technology. All the proposed structures have used a single-layer layout without rotated cells. The suggested architecture is designed and validated based on the QCADesigner 2.0.3 tool. The findings revealed that all the developed circuits have a simple architecture with fewer quantum cells, optimal area, and low latency.
Macroeconomics of Greening Turkish Agriculture: A General Equilibrium Analysis of Input Rationalization Policies
(Routledge Journals, Taylor & Francis Ltd, 2026) Yeldan, A. Erinc; Karakoc, Ulas
With the aid of an applied general equilibrium model, we study the macroeconomic effects of various policy alternatives to stimulate the implications of the greening of Turkish agriculture. Our results suggest that the reduction in chemicals, including synthetic fertilizers, and fossil oil combustion at alternative rates of 30% and 50% would significantly reduce carbon emissions, but at the expense of adverse effects on agricultural output. In response, the negative effects on agricultural output can be reversed by a targeted investment programme that could facilitate technological change and a commensurate rationalization of the rural economy, resulting in enhanced gains in agricultural productivity. We argue that the warranted funds towards such productivity-enhancing investments can be earmarked by the introduction of a nationwide carbon tax, and that they would boost not only agricultural output and rural incomes but could also mitigate the adverse transition costs on GDP and social welfare.
Fourier's Law Breakdown for the Planar-Rotor Chain with Long-Range Interactions
(Elsevier, 2026) Lima, Henrique Santos; Tsallis, Constantino; Eroglu, Deniz; Tirnakli, Ugur
Fourier's law, which linearly relates heat flux to the negative gradient of temperature, is a fundamental principle in thermal physics and widely applied across materials science and engineering. However, its validity in low-dimensional systems with long-range interactions remains only partially understood. We investigate here the thermal transport along a onedimensional chain of classical planar rotators with algebraically decaying interactions 1/ with distance ( >= 0), known as the inertial a-XY model. Using nonequilibrium simulations with thermal reservoirs at the boundaries, we numerically study the thermal conductance as a function of system sizea, temperature , and . We find that the results obey a universal scaling law characterized by a stretched-exponential function with -dependent parameters. Notably, a threshold at approximate to 2 separates two regimes: for >= , Fourier's law holds with size-independent conductivity = , while for < , anomalous transport is observed, corroborating (with higher precision) the results reported in Phys.Rev.E94,042117(2016). These findings provide a quantitative framework for understanding the breakdown of Fourier's law in systems with long-range interactions. The simulation is carried out by assuming the equations of motion, which include Langevin heat baths applied to the first and last particles, and are integrated using the Velocity Verlet algorithm. The conductance is calculated from the connection between Lagrangian heat flux and heat equation for typical values of (, , ). For large , the results can be collapsed into an universal -stretched exponential form, namely proportional to -() , where = [1 + (1-)]1/(1-). The parameters (, , ,) are -dependent, and is the index of the -stretched exponential. This form is achievable due to the ratio /( - 1) being almost constant with respect to the lattice size. These findings provide significant insights into heat conduction mechanisms in systems with long-range interactions.
High-Performance and Low-Power Quantum-Dot Multiply-Accumulate Design for Next-Generation Supercomputing Platforms
(Springer, 2026) Ahmadpour, Seyed-Sajad; Zohaib, Muhammad; Rasmi, Hadi; Jafari Navimipour, Nima
The rapid growth of high-performance computing (HPC) and supercomputing applications necessitates hardware architectures that provide both high computational performance and strong energy efficiency under real-time and massively parallel workloads. However, conventional complementary metal-oxide semiconductor (CMOS) technologies face fundamental challenges, including excessive power consumption, leakage currents, and severe scaling limitations, which restrict their suitability for future exascale systems. To overcome these limitations, emerging nanotechnologies such as Quantum-dot Cellular Automata (QCA) have gained significant attention due to their ultra low-power consumption and high device density. In this work, we present a high-performance and low-power Quantum-Dot Multiply-Accumulate (Q-Dot MAC) unit, where MAC denotes a fundamental arithmetic operation combining multiplication and accumulation, extensively used in scientific computing, and signal processing. The proposed QCA-based architecture is specifically designed to satisfy the high-frequency (HF) operational demands of modern HPC environments, enabling sustained high-throughput computation. The main objective of this design is to realize a compact, energy-efficient, and physically stable MAC unit suitable for large-scale deployment in energy-constrained supercomputing platforms. Exploiting the inherent parallelism and high-density layout characteristics of QCA, the proposed MAC architecture efficiently executes key computational kernels required in HPC workloads, including large-scale matrix multiplication, convolution operations, and scientific simulations. The proposed QCA-based circuits demonstrate significant performance and area efficiency improvements compared with the best existing designs in the literature. Specifically, the half adder (HA) achieves a 20.51% reduction in cell count and a 25% reduction in area, and the complete MAC unit provides a 22.84% decrease in cell count, a 9.03% reduction in occupied area and a 14.25% in delay. These results confirm the efficiency and scalability of the proposed design. The low-area enables the integration of large arrays of MAC units, facilitating scalable systolic and Single Instruction Multiple Data (SIMD) architectures required in supercomputing environments.
Energy-Efficient Code Conversion Using Quantum-Dot Nano-Architectures for Internet of Things (IoT) Applications
(Springer, 2026) Chugh, Hemanshi; Patidar, Mukesh; Ahmadpour, Seyed-Sajad; Zohaib, Muhammad
Internet of Things (IoT) is a developing technological trend in which common real-world objects are connected with technologies of sensors, actuators, and communication units, allowing data collection, sharing, and processing via the Internet. One of the important circuits in IoT systems is code converter circuits, which are critical components in data formatting, arithmetic processing, and error-resistant processing in these systems, and hence, have a direct influence on performance and energy resources. However, complementary metal-oxide-semiconductor-based realizations of these converters suffer important drawbacks, including high occupied area, increased power dissipation, propagation delays, and longer latency, and are not suitable in ultra-compact and energy-constrained IoT devices. To overcome these challenges, emerging technologies like the quantum-dot cellular automata (QCA) are offering new alternatives, featuring ultra-low power consumption, low area, and high processing speed, which would make QCA technologies suitable for next-generation IoT applications. This paper proposes high-density and power-efficient bidirectional code converter circuits (BCD to Excess-3-B2X3C and Excess-3 to BCD-X3B2C converters) utilizing QCA technology. In addition, significant improvements are demonstrated by the comparative evaluations, which include an improvement of 7.89% in cells, a reduction of 25% in area-delay cost (A x D2), and a 43.75% in figure of merit (FoM), respectively. Additionally, QCADesigner and QCAPro simulation and power analysis indicate that the switching energy is generally low throughout a wide variety of tunneling energies. The presented QCA-based single layer is more scalable than current designs, which makes it suitable for future IoT integration.
Multimodal Feedback in Automated Training Systems for Cardiopulmonary Resuscitation: A Review
(IEEE-Inst Electrical Electronics Engineers Inc, 2026) Sarac, Mine; Cetin, Sevval; Aslan, Baran; Tas, Ali; Stroppa, Fabio
Incorporating multimodal feedback in automated cardiopulmonary resuscitation (CPR) training systems has emerged as a crucial advancement in medical education, aiming to improve the quality and efficacy of CPR performance. This work presents an extensive and technical literature search on automated training CPR systems, specifically focusing on the feedback modality they provide during training sessions. We completed the search in the IEEE, ACM, Springer, SAGE, Elsevier, MDPI, Scholar, and Scopus databases between 2015 and 2025 (August) using the keywords "CPR," "Virtual Reality (VR)," "Augmented Reality (AR)," "feedback," and "training." We categorized our findings based on the type of feedback provided (i.e., visual, audio, haptic, or a combination of these), the display type used to render the feedback, the technology used to monitor the trainee's performance, and the type of manikin used. We conclude with recommendations for future research.

Browse

Recent Submissions