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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14411/18
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Article Time-Varying Sectoral Exchange Rate Pass-through and Its Structural Drivers: The Case of Turkish Manufacturing Industries(Springer, 2026-04-29) Saygılı, HülyaThis study examines how exchange rate pass-through (ERPT) varies across manufacturing sectors and which structural factors account for this heterogeneity over time. As a first step, the study constructs sector-level nominal effective exchange rate indices, generating a unique dataset that allows exchange rate movements to be matched directly to sector-specific trade structures. Using these indices, ERPT is estimated for Turkish manufacturing industries within a heterogeneous panel data framework. To enable systemic cross-sector comparison, a relative pass-through measure is developed that benchmarks each sector's ERPT against the manufacturing sector average. The analysis further explores the role of key structural characteristics-including trade openness, productivity, and global value chain participation-in shaping sectoral ERPT dynamics. The empirical results reveal significant disparities in pass-through across sectors, with persistent differences in sensitivity of exchange rate fluctuations. Structural determinants exhibit asymmetric effects: higher trade openness and deeper productivity tends to dampen ERPT. These findings highlights the importance of sector-specific characteristics for inflation dynamics and offer valuable policy insights for monetary and trade policy design.Article Thermal and Optical Signatures of Einstein-Dyonic ModMax Black Holes with GUP and Plasma Modifications(Elsevier, 2026-05) Sakallı, İzzet; Sucu, Erdem; Dengiz, SuatWe explore the thermodynamic and optical properties of Einstein-Dyonic-ModMax (EDM) black holes (BHs) incorporating quantum gravity corrections and plasma effects. The ModMax theory promotes the classical Maxwell theory to a non-linear electrodynamics with a larger symmetry structure (electromagnetic duality plus conformal invariance), and provides dyonic BH solutions characterized by both electric and magnetic charges modulated by the nonlinearity parameter gamma. Using the Hamilton-Jacobi tunneling formalism, we derive the Hawking radiation spectrum and demonstrate how the Generalized Uncertainty Principle (GUP) modifies the thermal emission, potentially leading to stable remnants. Our analysis of gravitational lensing employs the Gauss-Bonnet theorem to compute light deflection angles in both vacuum and plasma environments, revealing strong dependencies on the ModMax parameter and plasma density. We extend this to axion-plasmon environments, uncovering frequency-dependent modifications that could serve as dark matter signatures. The photon motion analysis in plasma media shows how the exponential damping term e-gamma affects electromagnetic backreaction on spacetime geometry. We compute quantum-corrected thermodynamic quantities, including internal energy, Helmholtz free energy, pressure, and heat capacity, using exponentially modified entropy models. The heat capacity exhibits second-order phase transitions with critical points shifting as functions of gamma, indicating rich thermodynamic phase structures. The energy condition analysis shows that classical ModMax electrodynamics satisfies the null and weak energy conditions, while the observed near-horizon violations arise only after incorporating quantum-corrected entropy effects.Article The Role of Motivational Interviewing in Enhancing Birth Self-Efficacy and Birth Satisfaction: A Randomized Controlled Study(Springer Publishing Co, 2025-11-25) Ozkan, Birgul; Sari, TugbaChildbirth is a critical and transformative experience in a woman's life; however, it is often accompanied by fear and perceived as a highly stressful event. Fear of childbirth may adversely affect a woman's confidence in her ability to give birth and her perceived competence regarding the birthing process. This study aimed to investigate the effect of motivational interviewing on childbirth self-efficacy and birth satisfaction among pregnant women. The study sample consisted of 85 pregnant women who were randomly assigned to either an intervention or a control group. Participants in the intervention group attended motivational interviewing sessions conducted over a 4-week period. Mode of birth and birth satisfaction were evaluated during the postpartum period. Among women in the intervention group, nearly 70% had a vaginal birth, and approximately 63% reported being satisfied with their childbirth experience. A statistically significant difference was observed between the groups in total childbirth self-efficacy scores following the intervention. The findings indicate that motivational interviewing can enhance childbirth self-efficacy and decrease the preference for cesarean birth.Trial registration: Registered in the ClinicalTrials.gov (NCT06082895).Article The Influence of Postural Load and Early Aging on Dynamic Sound Localization: Evidence for Reduced Cognitive-Motor Reserve(Springer, 2026-04-23) Batuk, Isa Tuncay; Batuk, Merve Ozbal; Karakuluk, IremThis study investigated the effects of head movements and postural stability on sound localization performance in normal-hearing adults and explored age-related differences between individuals aged 20-30 and 30-40 years. A total of 102 participants were divided into two groups: Group 1 (n = 56, 20-30 years) and Group 2 (n = 46, 30-40 years). Using a virtual reality system, localization performance was assessed under three different postural conditions and two listening conditions (head-immobile and head-mobile). Localization errors were measured at a 55-cm distance across four azimuth angles (right-front, left-front, right-back, left-back). Primary outcome measures included Azimuth Error, Front-Back Confusions, and Overall 3D Error. Incorporating head movements resulted in a statistically significant improvement in localization performance across all surface conditions (p < .001). In the head-mobile condition, the sitting posture yielded significantly lower Front 3D Error compared to both firm (p = .005) and foam surfaces (p = .007). Age-related differences were found to influence localization performance across varying levels of postural stability. Group 2 demonstrated significantly higher localization errors than Group 1 in the sitting condition (e.g., Head-Immobile Overall 3D Error: p = .021) and on the foam surface (e.g., Head-Immobile Overall 3D Error: p = .046). Conversely, no significant differences were found between the groups for any parameter on the firm surface. These findings indicate that head movements substantially enhance spatial hearing accuracy. However, localization performance is modulated by postural stability and age. Increased postural challenge appears to impose a dual-task cost, revealing subtle early age-related changes in the cognitive-motor mechanisms underlying auditory-spatial integration.Article Stochastic Comparisons of Mixtures of Heterogeneous Geometric Distributions Associated with Shock Models(Springer Heidelberg, 2026-05-14) Amini-Seresht, Ebrahim; Lorvand, Hamed; Balakrishnan, NarayanaswamyIn this paper, we discuss stochastic comparisons of two finite mixture models of different heterogeneous geometric distributions with different mixing proportions, in terms of usual stochastic, hazard rate, likelihood ratio and mean residual life orders. Finally, an application to shock models is discussed to illustrate the significance of the results established here.Article Profits, Wages, and Taxes: Understanding Inflation Dynamics in Türkiye(Sosyoekonomi Soc, 2026-04-28) Sakarya, Burçhan; Bülbül, Duran; Duvan, Osman BerkeThe COVID-19 pandemic and the Russia-Ukraine conflict have led to a global living standards shock, increasing interest in the interactions between firm profits and inflation. This study examines profit-driven inflation dynamics in Türkiye, also considering wages and net taxes. Using the deflator decomposition method and the Local Projections model, it analyses their effects on consumer inflation. Findings show that unit profit inflation is a key driver of price increases, while wage-price pass-through is nonlinear, and tax effects are delayed but significant. The study highlights the need for an integrated policy approach that combines monetary, fiscal, and competition policies to manage inflation effectively.Article Optimizing Drone-Based Humanitarian Relief in Post-Disaster Scenarios: A Hybrid MCDM and Maximum Coverage Approach(Springer Heidelberg, 2026-05-02) Vural, DanismentThis study proposes a novel hybrid decision-making framework that integrates expert-driven supply prioritization via the Stepwise Weight Assessment Ratio Analysis (SWARA) method with an operationally constrained Maximum Coverage Problem (MCP) model to optimize drone-based humanitarian logistics in post-disaster scenarios. Grounded in a real-world case study of the 2023 Kahramanmaraş earthquake, the model systematically elicits expert preferences to rank critical supplies such as food, medical items, and cold chain products, and embeds these weights directly into a constrained MCP formulation. The model incorporates drone-specific operational limits, including battery consumption, payload capacity, and round-trip feasibility, to ensure realistic deployment strategies. Results show that scenario configurations with four to five strategically located drone bases, each equipped with four to five drones, can increase the achieved priority-weighted delivered quantity by up to 35-40% compared to minimal base-drone configurations within the proposed model framework. Moreover, the proposed framework improves responsiveness by prioritizing urgent deliveries and supporting more timely allocation decisions under operational constraints. Unlike traditional MCP approaches that rely on static weights, this method offers a context-sensitive and scalable optimization model informed by field expertise. The findings underscore the potential of structured expert-based weighting combined with operational optimization to enhance the efficiency and responsiveness of drone-assisted disaster relief systems.Article Nutritional Composition, Phenolic Constituents, and Antioxidant Activity of the Edible Desert Truffle Terfezia Claveryi (Chatin)(Wiley, 2026-01) Bulut, Onur; Altunbas, Osman; Sonmez, CaglaThe edible desert truffle, Terfezia claveryi, is a highly valued wild macrofungal species native to the semiarid regions of Central Anatolia. This study provides molecular identification and a comprehensive biochemical evaluation of T. claveryi, using lyophilized material to assess its nutritional composition, phenolic profile, and antioxidant potential. Proximate analysis revealed high carbohydrate (69.93 +/- 1.69%) and moderate protein (13.8 +/- 0.55%) contents, a low lipid level (3.45 +/- 0.14%), and notably high vitamin C concentration (86.90 +/- 0.33 mg 100 g(-1) DW). Linoleic (C18:2%, 67.63%), oleic (C18:1%, 17.29%), and palmitic (C16:0%, 10.81%) acids predominated in the fatty acid profile. Amino acid analysis showed an exceptionally high lysine proportion (30.9% of total amino acids) and an essential-to-nonessential amino acid ratio (1.64) exceeding the FAO/WHO reference value, indicating superior protein quality. Mycotoxins were not detected using chromatographic methods, confirming the safety of the samples. Solvent extracts of lyophilized T. claveryi were prepared using methanol-water and acetone-water mixtures at varying ratios, as well as ethyl acetate and hexane. Total phenolic and flavonoid contents were highest in aqueous methanol and acetone extracts, which also exhibited strong radical scavenging and reducing activities in DPPH, FRAP, and ABTS assays. RP-HPLC analysis identified gallic acid, rutin, quercetin, and vanillic acid as major phenols, with gallic acid being predominant (154.81 +/- 5.50 mu g g(-1) DW). A strong correlation (R-2 > 0.95; p < 0.001) was observed between phenolic content and antioxidant capacity. Overall, T. claveryi represents a safe, nutrient-rich, and phenolic-dense functional food with significant potential to complement lysine-deficient cereal-based diets.Article Next Generation Mood Adaptive Behavioral Modeling for Decarbonizing Office Buildings and Optimizing Thermal Comfort(MDPI, 2026-04-08) Alkan, Nese; Turhan, Cihan; Doruk, Ozgur Resat; Ozbey, Mehmet Furkan; Thapa, Samar; Chen Austin, Miguel; Austin, Miguel Chen; Pekcan, PoyrazConventional Heating, Ventilation, and Air Conditioning (HVAC) control systems primarily rely on environmental and physiological parameters, largely ignoring the critical influence of psychological states on thermal comfort. Overlooking this factor often leads to suboptimal occupant satisfaction, energy inefficiency and thus carbon dioxide (CO2) emissions. To this aim, this study introduces a novel mood-adaptive HVAC control system integrating psychological feedback to decrease CO2 emissions in office buildings by reducing energy consumption and optimizing comfort. A total of 7000 thermal facial measurement records and high-resolution camera images were collected across seven mood state conditions using video stimuli and the Profile of Mood States (POMS) questionnaire to evaluate mood variations. A dual artificial intelligence system was developed: a Convolutional Neural Network (CNN) for analyzing facial expressions and an Artificial Neural Network (ANN) for processing facial temperatures via thermal imaging. These models collectively predict occupant mood in real-time, and a custom-designed wearable necklace interface transmits this data to dynamically adjust HVAC setpoints. To evaluate system performance, energy consumption was directly measured in real-life operations using an energy analyzer, without relying on simulations. Results indicate that this prototype personalized mood-driven system has the potential to enhance perceived thermal comfort while achieving up to a 20% reduction in carbon emissions compared to conventional systems. This human-centered approach significantly advances intelligent building management and climate change mitigation.Article Music Videos as Destination Marketing Tools: A Mixed-Method Approach Based on User-Generated Content(Routledge Journals, Taylor & Francis Ltd, 2026-05-18) Kozak, Metin; Karaca, Oktay; Sen-Kupeli, TugbaMarketing, as a dynamic concept, updates itself with the current developments both in the supply and/or demand side. The global integration of music, visual storytelling and social media is collectively about to change the marketing strategies of destinations. Therefore, this study aims to evaluate the role of music videos as audiovisual tools that shape destination image and travel intentions through the deeper analysis of user interactions and comments. Using a mixed methods design, 34,667 YouTube comments, qualitative in nature, were analysed and tested within the proposed conceptual model by conversion. As one of the pioneering empirical studies, the current study concludes that music videos are likely to attract potential visitors and improve destination image or awareness. Findings may guide improvements in upgrading the strategies to be applied for destination marketing by suggesting music videos as an effective tool and deepening the methodological perspective by converting qualitative data into quantitative metrics.