Scopus İndeksli Yayınlar Koleksiyonu

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

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Supervised Learning-Driven Dead Band Control of Occupant Thermostats for Energy-Efficient Residential HVAC
(Elsevier Ltd, 2026) Savasci, A.; Ceylan, O.; Paudyal, S.
Heating, ventilation, and air conditioning (HVAC) systems play a crucial role in demand-side management (DSM) by shaping residential electricity consumption and enabling flexible, grid-responsive operation. Thermostats in HVAC systems regulate indoor temperature as part of a closed-loop control framework, typically incorporating a fixed temperature dead band–a range around the setpoint where no action is taken–to reduce energy use and prevent frequent cycling of the HVAC system. Although essential for efficiency and equipment longevity, fixed dead bands limit adaptability, as dynamically adjusting them under varying environmental conditions remains challenging for occupants. To address this limitation, we propose a machine learning (ML)-based dead band tuning framework that optimally adjusts thermostat settings in real time. The method integrates conventional optimization with data-driven modeling: a mixed-integer linear programming (MILP) model is first used to generate optimal dead band values under measured outdoor temperature records (diverse seasonal weather scenarios) which are then employed to train the ML-based predictor to learn a real-time discrete dead band decision policy that approximates the MILP-optimal hysteresis-aware decisions. Among the evaluated models, Random Forest demonstrates superior predictive performance, achieving a mean squared error (MSE) of 0.0399 and a coefficient of determination (R2) of 95.75 %. © 2025 Elsevier Ltd.
The Unexpected Actor? Civil-Military Relations and Regulatory Agency Control in Brazil
(John Wiley and Sons Inc, 2026) Cunha, B.Q.; Lopez, F.G.; Coban, M.K.
Democratic backsliding around the world has sparked debate about its impact on public administration and governance. This article explores a growing yet less visible phenomenon threatening democracy. It examines the influence exerted by authoritarian populists over autonomous regulatory agencies through militarized patronage, that is, the discretionary appointment of military officers to civil positions. Scholars have not fully untangled how and why contemporary populists employ militarized patronage, and much less is known about militarization of autonomous regulatory agencies. To fill this gap, we highlight enabling factors underpinning militarized patronage and draw on a unique empirical dataset that integrates military with civil service records to account for the militarization of autonomous regulatory agencies in Brazil during the far-right presidency of Jair Bolsonaro (2019–2022). The article deepens our understanding of the role of civil-military relations in restructuring regulatory governance during populist rule, and the effects of democratic backsliding on regulatory governance. © 2025 The Author(s). Governance published by Wiley Periodicals LLC.
A Smart Medication Dispenser for Enhanced Elderly Care
(Nigerian Institution of Professional Engineers and Scientists, 2025) Ugo, H.C.; Akinbiola, A.; Ozoemena, S.; Oyejide, A.J.; Isaac, E.G.
The aging population and prevalence of chronic diseases present significant challenges in medication adherence, especially in resource-limited settings where healthcare resources are scarce. This study aimed to develop a cost-effective smart medication dispenser tailored to the needs of elderly patients in these settings. The device integrates pill and syrup dispensing capabilities, featuring audible alarms, hand-sensor technology, and a communication module for notifications to caregivers and healthcare providers. The dispenser was evaluated through a series of trials to assess its accuracy in dispensing pills and syrups and the performance of its notification and alarm systems. The device achieved high accuracy in pill and syrup dispensation. Notification alerts were timely, with delays ranging from 3 to 10 seconds, and the buzzer system showed consistent performance with an average delay of 1.5 seconds. The smart medication dispenser stands as a promising tool for enhancing medication adherence and ensuring the safety and health of elderly individuals. Its affordability and ease of use make it particularly suitable for resource-limited settings, offering a reliable solution to improve health outcomes and reduce the burden on healthcare systems. © 2025 NIPES Pub.
Dynamic Droop Setting of Smart Inverters for Volt-Var Control in Active Distribution Grids
(IEEE Computer Society, 2025) Neupane, A.; Paudyal, S.; Ceylan, O.
Smart Inverters (SIs), which are power-electronics based devices, have capability to effectively regulate the voltage on distribution feeders with better time granularity due to their faster response compared to legacy devices such as on load tap changers (OLTCs) and capacitor banks. In this study, we propose an approach to predict the droop settings of SIs that dynamically adjust based on network conditions as observed through the voltage measurements. This work adopts Long Short Term Memory (LSTM) based Neural Network (NN) approach for predicting dynamic droops for SIs as the network condition changes. We test the effectiveness of the dynamic droops on a large (IEEE 8500-node) distribution network. The case studies demonstrate that the voltage performance on distribution feeders can be improved with dynamic droop settings. © 2025 IEEE.
Entangled Histories, Healing Spaces: Ecological and Therapeutic Dimensions in Hale Tenger’s Appearance
(Intellect Ltd., 2025) Sünter, E.; Aslan, N.T.
This visual essay explores the intersections of contemporary art, relational aesthetics and therapeutic potential through an analysis of Hale Tenger’s Appearance (2019), a mixed-media and sound installation created for the 16th Istanbul Biennial. The work integrates volcanic obsidian mirrors and a poetic soundscape to evoke themes of introspection, agency and humanity’s relationship with nature. While not explicitly framed within art therapy, Appearance exemplifies relational perspectives that resonate with therapeutic principles, fostering emotional engagement and ecological awareness. Tenger’s work invites reflection on interconnectedness and healing, offering a model for how contemporary art can facilitate transformative experiences. This visual essay argues that Appearance provides a valuable lens for understanding the potential of art to create safe, reflective spaces, contributing to broader dialogues on the intersections of applied arts, health and environmental consciousness. © 2025 Intellect Ltd.
Design and Thermal Analysis of a High-Voltage High-Frequency Transformer
(IEEE Computer Society, 2025) Shan, A.; Ozdemir, M.A.; Tamyürek, B.; Aydin, E.; Aydemir, M.T.
High-voltage high-frequency (HVHF) transformers are one of the crucial components in HVDC power supplies. However, they occupy more space, and compared to other components in the system, they experience more energy losses. HVHF transformers need special attention to both thermal and electrical properties, mainly because of the use of ferrite cores. Ferrite materials show temperature-dependent properties, and transformer efficiency, reliability, and safety are enormously affected by the thermal behavior of ferrite cores. At high operating temperatures, the core performance may be reduced, leading to an increase in total losses and a decrease in the insulation life. Therefore, for optimal transformer design, it is very crucial to select an appropriate core material and predict its thermal behavior accurately. This article focuses on the thermal analysis and modeling of a 10 kVA, 500V/11 kV HVHF transformer using ANSYS simulation tools. Finite element analysis (FEA) is used to calculate the core losses and temperature distribution, enabling a deeper understanding of thermal limitations and design choices. © 2025 IEEE.
Safeguarding RSMA Networks with Cooperative Jamming and Relaying
(Institute of Electrical and Electronics Engineers Inc., 2025) Pang, H.; Ji, F.; Wen, M.; Xu, L.; Zhao, J.; Ning, Z.; Panayirci, E.
Cooperative rate-splitting multiple access (C-RSMA) has emerged as a promising solution for increasing spectral efficiency over conventional RSMA. On the other hand, the presence of eavesdroppers seriously compromises secure communications due to the open nature of the wireless channel. In this paper, we study a physical-layer security (PLS) problem for a two-user C-RSMA system in the presence of an eavesdropper. The cooperative jamming and relaying scheme is proposed to enhance diversity and security, where the near user opportunistically generates an artificial noise (AN) and forwards its decoded common message in two transmission phases. Our goal is to maximize the minimum secrecy rate (SR) for both users by the joint design of beamforming and resource allocation. To address the challenges arising from the non-convexity of the problem, we propose a sequential parametric convex approximation (SPCA)-based iterative algorithm, which entails approximating the non-convex objective and constraints by utilizing sequences of convex functions. Moreover, we study two SR maximization problems involving two different partial channel state information cases, and then resolve them by applying two novel SPCA-based iterative algorithms. Simulation results verify the effectiveness of the proposed scheme, demonstrating a significant improvement in SR compared to the schemes without jamming or relaying transmission. © 1967-2012 IEEE.
Fuel Cell Electric Long-Haul Truck Evaluation for Sustainable Transport Via a Novel Pythagorean Fuzzy Sets-Driven Tool
(Elsevier Sci Ltd, 2026) Gorcun, Omer Faruk; Rani, Pratibha; Mishra, Arunodaya Raj; Ecer, Fatih
Fossil fuel-powered trucks and vehicles used in road freight transportation play a notable role in the emission of greenhouse gases. Although the road vehicle industry's use of renewable energy is promising in terms of sustainability, the vehicle manufacturing industry's initiatives are still in their infancy. Moreover, existing studies on using electric and renewable energies in transportation have primarily focused on electric automobiles. Considering these research and practice gaps, this work investigates the selection of the most proper fuel cell electric long-haul trucks (FCETs) to restructure the Turkish fleet of long-haul trucks operating nationwide concerning sustainability. However, assessing these vehicles is challenging, as they are produced based on new and advanced technology, with severe and highly complicated uncertainties. Thus, this paper suggests a Pythagorean fuzzy distance measure-based weighted integrated sum product (WISP) with the integration of the symmetry point of criteria (SPC) and relative closeness coefficient (RCC)-based weighting methods. Surprisingly, and unlike the findings of earlier works, the acquired conclusions indicate that refueling time (0.1161) is the most influential factor for FCET selection, followed by range (0.0837) and torque (0.0785) among the 14 criteria. Besides, the first alternative (R1) outperforms the other options, followed by R5 and R7. Finally, robustness and validity checks ensured the consistency, stability, and practicality of the conclusions. The research can guide manufacturers who produce FCETs and aim to enhance the quality and desirability of their products. Furthermore, practitioners and researchers can utilize the proposed model to solve challenging decision-making problems.
Conspiracy Theories as Instruments of Power: The Case of Conspiracy Beliefs in the Wake of the 2023 Earthquakes in Türkiye
(Wiley, 2025) Alper, Sinan; Varol, Onur; Yilmaz, Onurcan
The prevalent view associates political disempowerment with increased conspiracy beliefs. However, the function of conspiracy theories for those in power to sustain their dominance is less understood, particularly in ecologically valid and non-WEIRD (Western, Educated, Industrialized, Rich, Democratic) settings. Our research examined the emergence of conspiracy theories following the 2023 earthquakes in T & uuml;rkiye and their relation to voting behavior in the subsequent general election, which occurred three months later. In Study 1, we analyzed the activities of 26,992 users on X (Twitter), identifying a preference among supporters of Erdogan, the incumbent president, for earthquake-related conspiracy theories. In Study 2, face-to-face interviews with a nationally representative sample of 3568 individuals showed a correlation between the endorsement of these theories and increased support for Erdogan and his coalition, independent of other variables. These findings highlighted the significant role conspiracy theories that can play in bolstering authority and shaping electoral outcomes.
Critical-Size Muscle Defect Regeneration Using an Injectable Cell-Laden Nanofibrous Matrix: An Ex Vivo Mouse Hindlimb Organ Culture Study
(MDPI, 2025) Jacho, Diego; Huynh, James; Crowe, Emily; Rabino, Agustin; Yildirim, Mine; Czernik, Piotr J.; Yildirim-Ayan, Eda
Musculoskeletal injuries involving volumetric muscle loss remain difficult to treat due to limited regenerative capacity and the lack of physiologically relevant experimental models. This study introduces a computer-controlled ex vivo mouse hindlimb culturing platform that applies dynamic mechanical loading to evaluate muscle regeneration in a critical-size tibialis anterior (TA) defect. The defect was treated with an injectable myoblast-laden nanofibrous scaffold composed of polycaprolactone nanofibers and collagen (PNCOL). The ex vivo mouse hindlimb culturing platform maintained tissue viability and transmitted physiological strain across bone and muscle without disrupting the unity of the bone-muscle structure. PNCOL treatment under mechanical loading enhanced muscle fiber organization, extracellular matrix regeneration, and anti-inflammatory responses (CD206) while upregulating paired box 7 (PAX7), myogenic factor 5 (MYF5), myogenic regulatory factor 4 (MRF4), and transforming growth factor beta1 (TGF beta 1) expression. Cytokine profiling revealed an anabolic shift involving wingless/integrated (WNT) and insulin-like growth factor-1 (IGF-1) signaling, indicating a pro-regenerative microenvironment. Overall, the combination of mechanical stimulation and biomaterial-based therapy significantly improved muscle regeneration within a controlled ex vivo model. This multidimensional approach provides a reproducible and ethical platform that advances musculoskeletal regenerative research while reducing animal use.
Do We Worry About the Use of Artificial Intelligence and Plagiarism? Students' AI-Giarism Behaviour Through the Fraud Triangle
(Elsevier Science Inc, 2026) Baser, Mirac Yucel; Kozak, Metin; Erdogan, Ibrahim Halil
The combination of AI and plagiarism is an emerging issue following the coining of the term AI-giarism. However, there has been little research that investigated the factors that lead students to engage in AIgiarism. In response to this gap, the present study adopts the fraud triangle framework to examine students' intentions toward AI-giarism and identify the underlying factors contributing to it. Data were collected from 312 students enrolled in 25 universities and analyzed using structural equation modelling. The results indicate that AI capacity, Justification of plagiarism, unawareness of AI deception, and academic pressure increase AI-giarism behaviour among students. In contrast to previous research, the study found no significant relationship between AI-giarism and either lax enforcement or a lack of understanding of AI. By offering empirical insights into the antecedents of AI-giarism, the present study advances the current body of literature, which has been more conceptual or student perception-centric.
Neo-Slavery as Instrumentalization: Amazon, Surrogate Motherhood, and Mobile Phones
(Wiley, 2025) Diken, Bulent; Gocer, Tugba; Ucak, Mesut
Despite being perceived as a remnant of the past, slavery persists in today's increasingly economized and biopoliticized world. To thematize the actuality of slavery, we initially return to Aristotle's discussion/justification of slavery as instrumentalization of human beings. Then we revisit Plato's allegory of the cave through three distinct readings. This threefold reading enables us to frame three present-day cases/examples to reconsider slavery: the Amazon, surrogate motherhood, and the cell phone. The concept of use is pivotal for such reconsideration. Finally, we propose the concept of neo-slavery. Although the traditional accounts of slavery understand slavery through its triangulation with property relations and force, we suggest another triangulation here: neo-slavery, instrumental use, and consent. In this way, the examination of the three cases casts the traditional accounts of slavery in a new light, revitalizing the concept of slavery by putting it into a different use.
Narrative Development in L1-Turkish Children: A Longitudinal Examination of L2-English Immersion Effects
(Cambridge Univ Press, 2025) Aktan-Erciyes, Asli; Goksun, Tilbe
This longitudinal study examined the impact of L2 acquisition on the narrative development of L1-Turkish dominant children who were exposed to L2-English immersion compared to their peers who were not exposed to L2-English immersion but to L1-Turkish. The study involved 155 children, aged 5, 7, and 9 at Time 1, assessing their narrative production, linguistic complexity, and narrative comprehension over a one-year period. Children who were exposed to L2-English immersion received intensive L2-English instruction from a young age while living in an L1-Turkish dominant society. For both time points, L2-English immersion children performed better than L1-Turkish dominant children for L1 narrative production. While no overall group differences emerged in linguistic complexity, L2-English immersion children exhibited higher complexity in L1 relative to their L2 for both time points, suggesting a facilitative effect of early L2 exposure on L1 narrative structure. These findings support the idea that bilingualism may foster narrative skills. These results highlight the importance of early bilingual education, especially when both languages are equally supported, contributing to children's overall language development.
Integrated in Vivo and in Silico Evaluation of Antimalarial Compounds From Vernonia Ambigua Leaves Identified by GC-MS Profiling
(Frontiers Media SA, 2025) Yusuf, Amina Jega; Alpha, Abdul-Rahman Abdullahi; Salihu, Mustapha; Aminu, Jamila; Sahin, Naz Mina Mert; Yelekci, Kemal; Imam, Mustapha Umar
Background: Malaria remains a global health challenge, and the emergence of drug-resistant Plasmodium strains has necessitated the search for new antimalarial agents. Vernonia ambigua is used traditionally to treat malaria in parts of Africa, but its pharmacological potential remains underexplored. The aim of this study was to evaluate the antimalarial activity and chemical constituents of the chloroform leaf extract (CLE) of V. ambigua using in vivo and in silico approaches. Methods: Acute toxicity was evaluated using Lorke's method, and antimalarial activity was assessed via Ryley and Peter's 4-day curative test in Plasmodium berghei-infected Swiss albino mice, followed by GC-MS profiling and in silico analyses (molecular docking and dynamics simulations) of the identified compounds. Results: The CLE showed a 73.8% parasite cure rate at 500 mg/kg, with no observed toxicity up to 5,000 mg/kg. GC-MS profiling revealed thirteen compounds, of which 9H-fluorene-4-carboxylic acid and Tolnaftate showed strong PfLDH binding (docking scores of -7.7 and -7.6 kcal/mol, respectively). Tolnaftate demonstrated potentially modest stability in the active site of PfLDH during MD simulation. ADME/toxicity profiling identified 9H-fluorene-4-carboxylic acid as the most promising compound, combining favorable bioavailability, low predicted toxicity, and good synthetic accessibility. Conclusion: V. ambigua possesses potent antimalarial properties, with 9H-fluorene-4-carboxylic acid and Tolnaftate emerging as promising PfLDH inhibitors. These findings support further investigation and development of its bioactive constituents as antimalarial drug leads.
Deep Learning-Based Epicenter Localization Using Single-Station Strong Motion Records
(Springer, 2025) Turkmen, Melek; Meral, Sanem; Yilmaz, Baris; Cikis, Melis; Akagunduz, Erdem; Tileylioglu, Salih
This paper explores the application of deep learning (DL) techniques to strong motion records for single-station epicenter localization. Often underutilized in seismology-related studies, strong motion records contain rich information for source parameter inference. We investigate whether DL-based methods can effectively leverage this data for accurate epicenter localization. Our study introduces AFAD-1218, a collection comprising more than 36,000 strong motion records sourced from Turkey. To utilize the strong motion records represented in either the time or the frequency domain, we propose two neural network architectures: deep residual network and temporal convolutional networks. Our findings highlight significant reductions in prediction error achieved through the exclusion of low signal-to-noise ratio records, both in nationwide experiments and regional transfer-learning scenarios. Overall, this research underscores the promise of DL techniques in harnessing strong motion records for improved seismic event characterization and localization. Our codes are available via this repo: https://github.com/melekturkmen/EarthQuakeLocalization
Does Your Love Lift Me Higher? A Direct Replication of the Energising Role of Secure Relationships
(John Wiley & Sons Ltd, 2025) Lagap, Adar Cem; Harma, Mehmet
Previous work has revealed that priming people with significant others increases feelings of security and energy, and in turn, boosts exploration motivations. In this preregistered study, we directly replicated Luke et al.'s (2012) Study 2 (N = 281). We found similar results as the replicated study regarding increased security feelings and exploration motivations on the self-report measures after the priming. However, we did not find any support for the increased energy feelings after the attachment security priming. In addition, contrary to Luke et al.'s (2012) results, energy feelings did not mediate the relationship between security priming and exploration motivations. A discussion of null findings, along with the limitations of self-reports and potential misinterpretation of the mediational analyses, follows. We also discuss possible future implications of the current findings.
The 'Original Face': Visitors Experience in Buddhist Pilgrimage Tourism through the Lens of Zen Thought
(Elsevier, 2026) Zhang, Hui; Wen, Jun; Huang, Keji; Kozak, Metin; Fan, Yunyun
This study examines the visitors' experience while participating in the Dachaotai in Mount Wutai through the prism of Chinese Zen philosophy. Data was collected through participatory observation, in-depth interviews, and online texts. This study subsequently analyzed the data within the framework of the means-end chain model through which four attributes, six consequences, and three values were identified. The results showed that an attribute-consequence-value hierarchical value map of the original face could be constructed, and the formation process of visitors' original face was deduced. The value stratum of the experience regarding visitors' original face primarily encompassed "Free flow of thoughts", "Being in one's own mind", and "Epiphany",which could be interpreted within the principal tenets of Zen Buddhism. The research findings contribute to the existing body of knowledge about Buddhist pilgrimage tourism and bridge the gap that exists between Chinese Zen philosophy and tourist experience.
If Streaming Doesn't Pay the Bills, Will Advertising
(University of California Press, 2025) Sesigür, O.
Competition for a Social Purpose
(Nova Science Publishers, Inc., 2025) Çarboğa, O.S.; Sanje, G.; Taşçi, N.G.
The world is facing some difficult times regarding environmental and social challenges. For the sake of Earth's future, all parties, including governments, businesses, and civil society, must act in ways that benefit these challenges. Yet, as evident, the efforts of business networks and governmental institutions are insufficient and lack the focus and stability that make it necessary for civil society and purposeful entrepreneurs to act. One of the actions that can make a small but impactful difference comes from social entrepreneurs and marketers. In this study, concepts such as social entrepreneurship, social marketing, purpose, and greenwashing will be discussed through a literature review and case analysis. An entrepreneurial business that aims for positive change and impact, Bego Jean's case, will be examined to understand purposeful brands and hopefully support the development of such purposeful enterprises. © 2025 Nova Science Publishers, Inc. All rights reserved.
Introduction: Understanding Experiential Marketing
(Goodfellow Publishers Ltd, 2025) Correia, A.; Kozak, M.

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