WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/4465

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Now showing 1 - 20 of 2521

Citation Count: 0
Electricity System Resilience: an Integrated Bibliometric and Systematic Literature Review
(Elsevier Sci Ltd, 2025) Bektas, Zeynep; Yilmaz, Dilek
This study presents a pioneering review of electricity system resilience literature through bibliometric analysis and systematic literature review, addressing four original research questions. It examines whether the literature aligns with advancements in electricity systems and identifies gaps in the reviewed research field. Suggestions include improving methodologies and developing specific resilience metrics. By analyzing current literature and offering future directions, this study provides valuable insights for researchers, policymakers, and practitioners to enhance electricity system resilience.
Citation Count: 0
An Innovative Performance Assessment Method for Increasing the Efficiency of Aodv Routing Protocol in Vanets Through Colored Timed Petri Nets
(Wiley, 2025) Heidari, Arash; Jamali, Mohammad Ali Jabraeil; Navimipour, Nima Jafari
Routing protocols are pivotal in Vehicular Ad hoc Networks (VANETs), serving as the backbone for efficient routing discovery, particularly within the realm of Intelligent Transportation Systems (ITS). However, ensuring their seamless functionality within VANET environments necessitates rigorous verification and formal modeling. Colored Timed Petri Nets (CTPNs) stand out as a valuable mathematical and formal method for this purpose. This study shows a new way to describe the Ad hoc On-Demand Distance Vector (AODV) routing system in VANETs using CTPNs. There are nine pages of detailed analysis using this new modeling method, which allows you to examine success across many levels of a hierarchy. This study provides a strong foundation for building and testing the AODV routing system in VANETs, showing how well it functions in real-life situations. It is interesting to see how the results of the CTPN-based model and simulations compare. Notably, the model finds routes in an average of 32 s, while tests show that it takes 56 s. Additionally, the model's overall number of sent and received packets closely matches the results from the exercise. Furthermore, the suggested plan shows a yield of 41%. Strict T-tests indicate that the modeling results are highly reliable.
Citation Count: 0
Sparse Code Multiple Access With Time Spreading and Repetitive Transmissions
(Wiley, 2025) Ulgen, Oguz; Tufekci, Tolga Kagan; Sadi, Yalcin; Erkucuk, Serhat; Anpalagan, Alagan; Baykas, Tuncer
For the next-generation communication systems, to improve spectral efficiency and increase the data rate, new multiple access techniques have been investigated. Orthogonal multiple access techniques are widely used in traditional communication systems while nonorthogonal multiple access (NOMA), proposed in 5G, has been a promising technology for satisfying the demand for future wireless communication networks. Sparse code multiple access (SCMA) is a code-domain NOMA method that provides diversity gain with signal constellation coding. However, to increase the performance of SCMA, there are only limited works provided in the literature in terms of codebook design and receiver design. In this paper, a new multiple-access model is proposed by applying various diversity techniques for downlink SCMA. The performance of the proposed model is evaluated with both computer simulations and theoretical analysis. Results show that the proposed model provides a 1.6 dB gain in terms of the bit error rate (BER) under the Rayleigh fading channel.
Citation Count: 0
Contributions From Türkiye on Grade Inflation in Higher Education: Educational Landscapes Before, During, and After Covid-19
(Springer, 2025) Karadag, Engin; Ciftci, S. Koza
Numerous reputable studies have reported a significant grade increase during the COVID-19 pandemic. These short-term increases cannot be attributed to student achievement, suggesting that the pandemic has precipitated grade inflation. In this study, we examine the temporary and permanent effects of the COVID-19 pandemic on grade inflation in higher education. We analyze 954,389 student grades for 16,962 courses taught by 5916 instructors in five universities in T & uuml;rkiye over 6 years (12 semesters) before, during, and post the COVID-19 pandemic. Our findings indicate that the COVID-19 pandemic caused a marginal increase in grades in higher education and that this increase was primarily sustained post-pandemic. FD (0.5) and FF (0.0) grades decreased during and post-pandemic compared to the before-pandemic period, while the highest grade, AA (4.00), increased. Furthermore, we observed that grades in online courses, which became prevalent especially post-pandemic, were significantly higher than in face-to-face classes. Based on these results, we conclude that the COVID-19 pandemic has affected grade inflation in higher education.
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Cognitive Reflection and Religious Belief: a Test of Two Models
(Cambridge Univ Press, 2025) Seker, Firat; Acem, Ensar; Bayrak, Fatih; Dogruyol, Burak; Isler, Ozan; Bahcekapili, Hasan G.; Yilmaz, Onurcan
Existing research suggests a negative correlation between reflective thinking and religious belief. The dual process model (DPM) posits that reflection diminishes religious belief by limiting intuitive decisions. In contrast, the expressive rationality model (ERM) argues that reflection serves an identity-protective function by bolstering rather than modifying preexisting beliefs. Although the current literature tends to favor the DPM, many studies suffer from unbalanced samples. To avoid this limitation, we recruited comparably large number of participants for both religious believers (n = 580) and non-believers (n = 594) and observed the relationship between reflection and two measures of religious belief: belief in God and disbelief in evolution. Our findings corroborate the negative associations found between higher levels of reflection and both types of belief, independent of religious affiliation. Our results align with the broader literature, supporting the DPM but not the ERM.
Citation Count: 0
Women's Snap Judgments for Incompatible Facial and Vocal Cues
(Hogrefe Publishing Corp, 2025) Harma, Mehmet; Kuru, Elif Deniz
There has been a paucity of studies exploring the combined impact of facial and vocal cues on attractiveness and trustworthiness evaluations. We examined the concurrent evaluation of attractiveness and trustworthiness when facial and vocal cues were incompatible, such as attractive faces with unattractive voices. We collected data from women participants aged between 20 and 33 years (N = 127, M = 22.19, SD = 2.34). Results revealed that participants evaluated attractive faces with unattractive voices as more attractive, compared to unattractive faces with attractive voice combinations. Moreover, trustworthiness evaluations showed different patterns; participants rated untrustworthy faces with trustworthy voices higher on trustworthiness than trustworthy faces with untrustworthy voice combinations. These findings support the notion that different cues (facial and vocal) play divergent roles in snap judgments.
Citation Count: 0
Putting Your Best Self or No Self at All? an Analysis of Young Adult's Dating App Profiles in Turkey
(Springer, 2025) Cobek, Gozde; Bas, Ozen; Audry, Aylin Sunam; Inceoglu, Irem; Kaya, Yigit Bahadir; Ozenc, Asli
Since the widespread use of dating apps across the globe, presenting one's best self has become a prior issue in attracting potential partners. The literature generally focuses on a single group's profiles on a single app and examines the role of gender and sexual orientation in putting one's best face and body or lying about it. However, very few studies draw attention to the role of cultural geography in profile construction, which may suggest that presenting a self in the first place, or self-disclosure, becomes a more significant issue than presenting an ideal self in some cultural settings. This study examines young adults' profiles on five dating apps popular in Turkey, where there is a powerful social stigma around LGBTI+ individuals and online dating and a sharp cultural division between Eastern and Western regions. It aims to understand the role of cultural geography across users from different genders and sexual orientations in self-disclosure. Based on a quantitative content analysis of 1976 dating app profiles collected across the country, our study finds statistically significant differences in self-disclosure between men and women, heterosexual and non-heterosexual users, and metropolitan and non-metropolitan individuals. In other words, showing one's face, body, and other verbal information that might reveal one's identity is highly influenced by one's gender, sexual orientation, and geographical location. Our research contributes to the literature by not only underlining the significance of cultural geography but also revealing the intersecting role of gender, sexual orientation, and geographical location in self-disclosure.
Citation Count: 0
Remembering the Anthropocene: Memorials Beyond the Human
(Sage Publications inc, 2025) Ibrisim, Deniz Gundogan; De Rebetz, Clara De Massol
[No Abstract Available]
Citation Count: 0
Estimation of the Probability of Informed Trading Models Via an Expectation-Conditional Maximization Algorithm
(Springer, 2025) Ghachem, Montasser; Ersan, Oguz
The estimation of the probability of informed trading (PIN) model and its extensions poses significant challenges owing to various computational problems. To address these issues, we propose a novel estimation method called the expectation-conditional-maximization (ECM) algorithm, which can serve as an alternative to the existing methods for estimating PIN models. Our method provides optimal estimates for the original PIN model as well as two of its extensions: the multilayer PIN model and the adjusted PIN model, along with its restricted versions. Our results indicate that estimations using the ECM algorithm are generally faster, more accurate, and more memory-efficient than the standard methods used in the literature, making it a robust alternative. More importantly, the ECM algorithm is not limited to the models discussed and can be easily adapted to estimate future extensions of the PIN model.
Citation Count: 0
How Did Turkish Higher Education Respond To Emergency Distance Education in the Covid-19 Pandemic? Acceptance and Use by Turkish Academics
(Routledge Journals, Taylor & Francis Ltd, 2025) Ciftci, S. Koza; Karadag, Engin; Ergin-Kocaturk, Hatice
The COVID-19 pandemic necessitated a rapid transition to online education, presenting adaptation challenges for faculty members unfamiliar with distance education methodologies. Certain institutions have demonstrated greater efficacy owing to prior experience in this domain. This study investigates faculty acceptance and utilisation of mandatory distance education employing the UTAUT2 model, with age and gender as moderating variables, analysed through structural equation modelling. Data from 3631 participants were collected using a 25-item scale encompassing seven subdimensions: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit and price value. The research assessed the impact of these dimensions on behavioural intention and usage, with gender moderating several relationships, while age did not exhibit a significant moderating effect. The findings, consistent with the extant literature, suggest that training and experience in distance education could enhance acceptance and utilisation among faculty members.
Citation Count: 0
Transformation of Turkish-Russian Relations: Rivalry and Cooperation in Eurasia and the Levant
(Uluslararasi İlişkiler Konseyi Derneği, 2025) Aydin, Mustafa
Relations between Russia and T & uuml;rkiye have developed considerably since the end of the Cold War. What began as energy trade in the late 1980s evolved into cooperation in business, energy, construction, tourism, politics and even security. Behind the ever-expanding cooperation lies a mistrust fueled by historical enmity and regional rivalry that occasionally leads to confrontation. As the two countries seek to shape their competitive cooperation beyond the current geopolitical challenges and constraints of regional security and alliances, the question of whether they could find ways to advance their partnership is of paramount importance and has regional and global implications. This paper seeks to understand how they have managed their conflict-ridden past to develop a modus operandi in the post-Cold War world by proposing a new conceptual model, namely "competitive cooperation" or "coopetition", to understand the relationship that developed over the last 30 years in different geographical regions.
Citation Count: 0
Re-Evaluating Creative Labor in the Age of Artificial Intelligence: a Qualitative Case Study of Creative Workers' Perspectives on Technological Transformation in Creative Industries
(Springer, 2025) Oztas, Yunus Emre; Arda, Balca
This article explores how the emergence of creative AI technologies transforms creative workers' self-apprehension in the context of critical theory and labor studies. The distinguishing contribution of this study resides in its focus on how CI laborers' creativity perception and reception are affected by AI technologies' intrusion into the creative domain. Creative AI technologies are expected to present new expressive capacities to creative workers and cost-cutting advantages for CIs' production that put a lot of creative jobs at risk. Findings show that creatives perceive the adaptation of AI technologies as both an opportunity for their creative process and a requirement of their active presence in the market survival as a matter of technocratic rule. We critically analyze creative labor's novel mods engaged with updated technology and present reflections on the favorable co-creation conditions to flourish an understanding of socially intelligible technology and thereby a creative livelihood against technocracy.
Citation Count: 0
Microneedles With Interdigitated Electrodes for in Situ Impedimetric Vegf Sensing
(Wiley, 2025) Das, Ritu; Istif, Emin; Cebecioglu, Rumeysa; Ali, Mohsin; Atik, Yasin; Dag, Cagdas; Beker, Levent
Continuous monitoring of protein biomarkers in interstitial fluid (ISF) is essential for improving patient care and outcomes. This study presents a novel electrochemical impedance spectroscopy (EIS) sensor utilizing microneedles (MNs) patterned with interdigitated electrodes for the detection of vascular endothelial growth factor (VEGF). The MNs, are fabricated from flexible polylactide (PLA) using a simple molding technique, followed by metal deposition with an interdigitated pattern to serve as a platform for the EIS sensor. After functionalization with anti-VEGF antibodies, impedance measurements are conducted to detect VEGF levels, demonstrating a significant change in impedance in response to varying concentrations of the target biomarker. The MNs can easily penetrate rat skin by hand, puncturing without mechanical breakage. This innovative approach enhances the sensitivity and specificity of biomarker detection and paves the way for continuous monitoring applications in diagnostics and preventative medicine.
Citation Count: 0
ulturally Responsive Teaching in Higher Education: The Effects of Academics' Personality and Personal Meaning Profiles on Culturally Responsive Teaching Self-Efficacy.
(Sage Publications inc, 2025) Gumus, Nesrin; Karadag, Engin; Ergin-Kocaturk, Hatice
In this study, we aimed to examine the factors affecting the culturally responsive teaching competencies of academics and tested whether the personality traits and personal meaning profiles of the academics had significant effects on culturally responsive teaching self-efficacy. Data were obtained from 1,883 academics by using the Culturally Responsive Teaching Self-Efficacy Scale, Ten-Item Personality Inventory and Personal Meaning Profile Scale - Short Form. Correlation, regression and structural equation modelling analyses were run to analyse the data. We found that culturally responsive teaching self-efficacy is low. In terms of personal meaning profiles, 'openness to experience', 'agreeableness' personality traits and 'self-transcendence' and 'fair treatment' had a significant effect on culturally responsive teaching self-efficacy while 'religion' and 'self-acceptance' were found to have no effect. Based on the findings, we made various suggestions for academics to participate in training on culture-sensitive teaching pedagogy to be more sensitive to different cultures. El objetivo de este estudio es explorar los factores que influyen en las competencias pedag & oacute;gicas culturalmente receptivas del profesorado, y comprobar si los rasgos de personalidad y los perfiles de significado personal ejercen un efecto significativo sobre la autoeficacia de la ense & ntilde;anza culturalmente receptiva. Se obtuvieron datos de 1,883 acad & eacute;micos mediante la Escala de Autoeficacia de Ense & ntilde;anza Culturalmente Receptiva, el Inventario de Personalidad de 10 & iacute;tems y la Escala breve de Perfil de Significado Personal. Para analizar los datos, se llevaron a cabo an & aacute;lisis de correlaciones, de regresi & oacute;n y de modelo de ecuaciones estructurales. Los resultados revelan que la autoeficacia de la ense & ntilde;anza culturalmente receptiva es baja. Por lo que respecta a los perfiles de significado personal, los rasgos de personalidad 'apertura a la experiencia' y 'amabilidad', y 'autotrascendencia' y 'trato justo', ten & iacute;an un efecto significativo en la autoeficacia de la ense & ntilde;anza culturalmente receptiva, mientras que 'religi & oacute;n' y 'autoaceptaci & oacute;n' no ten & iacute;an ning & uacute;n efecto. A la luz de los resultados obtenidos, formulamos varias sugerencias orientadas a la participaci & oacute;n del profesorado en cursos de formaci & oacute;n sobre una pedagog & iacute;a culturalmente receptiva para mejorar su sensibilidad hacia las distintas culturas.
Citation Count: 0
Integrating Technology Acceptance Model With Utaut To Increase the Explanatory Power of the Effect of Hci on Students' Intention To Use E-Learning System and Perceive Success
(Ieee-inst Electrical Electronics Engineers inc, 2025) Al-Sayid, Fareed; Kirkil, Gokhan
This study aimed to investigate the potential human-computer interaction factors (HCI) affecting students' behavioural intentions (BI) to use the e-learning system and perceive success. This paper proposes a comprehensive model, integrating the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT). The data were collected via an online survey conducted on 232 students utilizing the Khas Learn system of Kadir has University in Turkey. The proposed hypotheses were tested by multi-linear regression. The results illustrated that the main predictors of students' success (SS) are behaviour intention, ease of use, usefulness, visual design, and learner interface interactivity which explained 53.6% of perceived success in using the system. While, the main predictors of BI are facilitating condition, effort expectancy, ease of use, and usefulness which explained 71% of the variance in continuance intentions to use e-learning. Therefore, the empirical findings provide strong backing to the technological-social-psychological dimensions extended by HCI main factors, which showed a high explanatory power in accepting e-learning technology and leads to enhance the SS, where five of the model's goodness-of-fit values meet five criteria of structural equation modeling (SEM).
Citation Count: 0
Fractal Analysis of Cardiac Spectra
(Symmetrion, 2024) Pekcan, Onder; Arsan, Taner
Cardiac diseases are one of the main reasons for mortality in modern, industrialized societies, and they cause high expenses in public health systems. Therefore, it is important to develop analytical methods to improve cardiac diagnostics. The heart's electric activity was first modeled using a set of nonlinear differential equations. Variations of cardiac spectra originating from deterministic dynamics are investigated. Analyzing the power spectra of a normal human heart presents the His-Purkinje network, which possesses a fractal-like structure. Phase space trajectories are extracted from the time series graph of ECG. Lower values of fractal dimension, D, indicate dynamics that are more coherent. If D has non-integer values greater than two when the system becomes chaotic or strange attractor. Recently, the development of a fast and robust method, that can be applied to multichannel physiologic signals, was reported. The convolutional Neural Networks (CNNs) method was also applied to patient-specific ECG classification for real-time heart monitoring. This manuscript investigates two different ECG systems produced from normal and abnormal human hearts to introduce an auxiliary phase space method in conjunction with ECG signals for diagnosing heart diseases. Here, the data for each person includes two signals based on V(4 )and modified lead III (MLIII), respectively. The fractal analysis method is employed on the trajectories constructed in phase space, from which the fractal dimension D is obtained using the box-counting method. It is observed that, the second signals (i.e., MLIII) have larger D values than the first signals (i.e., V-4), predicting more randomness yet more information. The lowest value of D (i.e., 1.708) indicates the perfect oscillation of the normal heart, and the highest value of D (i.e., 1.863) presents the abnormal heart's randomness. Our significant finding is that the phase space picture presents the distribution of the peak heights from the ECG spectra, giving valuable information about heart activities in conjunction with ECG.
Citation Count: 0
A New Quantum-Enhanced Approach To Ai-Driven Medical Imaging System
(Springer, 2025) Ahmadpour, Seyed-Sajad; Avval, Danial Bakhshayeshi; Darbandi, Mehdi; Navimipour, Nima Jafari; Ul Ain, Noor; Kassa, Sankit
Medical Imaging Systems (MIS) play a crucial role in modern medicine by providing accurate diagnostic and treatment capabilities. These systems use various physical processes to create images inside the human body for healthcare professionals to identify and address medical conditions. There is a growing interest in integrating artificial intelligence (AI) in medicine from various sources recently. Presently, with improved algorithms and more significant availability of training data, AI can help or even replace some of the tasks that were being performed by medical professionals. Typically, most MIS performance enhancements are achieved by leveraging transistor-based technologies. However, such implementations showcase certain disadvantages: for instance, slow processing speeds, high power consumption, large physical footprints, and restricted switching frequencies, especially in the GHz range. This could limit the effective performance and efficiency of MIS. Quantum computing, in turn, today appears as an alternative, at least for fully digital circuits in MIS; QCA provides advantages related to higher intrinsic switching speeds (up to terahertz) compared with transistor-based technologies, along with an improved throughput owing to its inherent compatibility with pipelining. QCA also has minimum power consumption and a smaller area of circuitry, which makes it amply suitable for establishing frameworks in circuit design for AI applications. The performance requirement in AI is real-time with minimum energy consumption and minimum cost. The ALU, in this regard, forms the basis for processing and computation units within processor systems. The method presented in this work benefits from the merits of QCA for an ALU design featuring low complexity, high performance, minimum power consumption, maximum speed, and reduced area. This approach has been able to successfully integrate the design of adders and multiplexers with that of basic gates to reduce latency and energy consumption with the aim of improving AI in MIS. The development and simulation of the proposed designs are carefully carried out using QCADesigner 2.0.03 software. A comparison of the different structures proposed shows significant improvements in complexity vs. cell count vs. power consumption compared to earlier designs, hence promising quantum computing for the MIS capability development.
Citation Count: 0
Towards a Scalable and Efficient Full- Adder Structure in Atomic Silicon Dangling Band Technology
(Elsevier, 2025) Rasmi, Hadi; Mosleh, Mohammad; Navimipour, Nima Jafari; Kheyrandish, Mohammad
Atomic Silicon Dangling Bond (ASDB) is a promising new nanoscale technology for fabricating logic gates and digital circuits. This technology offers tremendous advantages, such as small size, high speed, and low power consumption. As science and technology progress, ASDB technology may eventually replace the current VLSI technology. This nanoscale technology is still in its early stages of development. Recently, many computing circuits, such as full-adder, have been designed. However, these circuits have a common fundamental problem; they consume a lot of energy and occupy a lot of area, which reduces the performance of complex circuits. This paper proposes a novel ASDB layout for designing an efficient full-adder circuit in ASDB technology. Moreover, a four-bit ASDB ripple carry adder(RCA) is designed using the proposed ASDB full-adder. The proposed ASDB fulladder not only improves the stability of the output but also surpasses the previous works, in terms of energy and accuracy,by 90% and 38%, respectively. Also, it has very favorable conditions in terms of occupied area and is resistant to DB misalignment defects.
Citation Count: 0
Two Balloons Can Fly a Minaret: Parody and Fabricated Reality as Integral Qualities of Mock-Documentary in aya Seyahat
(Routledge Journals, Taylor & Francis Ltd, 2025) Tuzun, Defne; Akcali, Elif; Cengiz, Esin Paca; Behlil, Melis
This paper takes a close look at the critically acclaimed artist and filmmaker Kutlu & gbreve; Ataman's mockumentary Aya Seyahat (Journey to the Moon, 2009). We discuss the potentials and possibilities that the mockumentary mode brings to the film in detail, and address this mode as an aesthetic and critical manner that Ataman employs in his artistic practice. Through this discussion, we evaluate the ways in which the film is informed by and can be interpreted as a parodic observation of recurrent patterns in Turkish politics and representations of the national pasts. We argue that it exemplifies and endorses mockumentary's politically reflexive capacity to rethink history and the process of historiography in which historical truths are constructed. Mockumentary mode offers layers of meanings, exceeding the obvious narrative of historical parody, and invites the viewers to notice and problematize conventional narrational and stylistic methods of documenting a historical event. Thus, the film provides a criticism and comparison of the public opinion towards politics within two distinct periods in Turkey's history, namely the 1950s and the 2000s. It also opens up a space for a critical engagement with Turkey's troubled pasts and their construction as historical narratives in both cinematic and other representations.
Citation Count: 0
Secure Quantum-Based Adder Design for Protecting Machine Learning Systems Against Side-Channel Attacks
(Elsevier, 2025) Ul Ain, Noor; Ahmadpour, Seyed-Sajad; Navimipour, Nima Jafari; Diakina, E.; Kassa, Sankit R.
Machine learning (ML) has recently been adopted in various application domains. Usually, a well-performing ML model relies on a large volume of training data and powerful computational resources. Recently, hardware accelerators utilizing field programmable gate arrays (FPGAs) have been developed to provide high-performance hardware while maintaining the required accuracy for ML tools. However, one of the main challenges hindering the FPGA-based ML models is their susceptibility to adversarial attacks, such as physical side-channel attacks. In this study, various kinds of countermeasures, including masking and hiding techniques, are examined to mitigate the aforementioned shortcomings and enhance the security of FPGA-based ML systems. In addition to FPGA-based defenses, the advantages of quantum computing for designing circuits to enhance data protection are also elaborated. However, concerning FPGA-based ML models, which are used to defend against physical side-channel attacks, quantum dot cellular automata (QCA) offers a more promising option. Its inherent security, lower power consumption, higher speed, and reduced vulnerability to side-channel leakage make it the best alternative. Therefore, this study emphasizes the implementation of the quantum nature of QCA to protect valuable information against physical side-channel attacks. It also offers quantum masking circuits for protecting sensitive information in machine learning systems, including XOR, adder, and RCA. Furthermore, the presented work advocates for leveraging QCA technology to augment the security of machine learning systems by mitigating the disclosure of sensitive data. The proposed QCA-based masked designs, which include an adder and a ripple carry adder (RCA), pose some qualities, which include a single-layer structure, minimal cell count, and low latency. When compared with the best counterparts among the recommended designs, these designs exhibit significant improvements regarding cell consumption and occupied area, with improvements of 33.3% and 36.6% respectively.

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