WoS İndeksli Yayınlar Koleksiyonu
Bu koleksiyon için kalıcı URI
Güncel Gönderiler
Öğe Multifunctional POSS-based nanoparticles functionalized with silver, SPIONs, and rhamnolipid for antibacterial applications(Elsevier, 2026) Kibar, Gunes; Kafali, Melisa; Ozonuk, Olgu Cagan; Oztas, Merve; Usta, Berk; Ercan, BaturNano-engineered materials, particularly those featuring bio-based surface modifications, are emerging as effective tools in combating bacterial infections. In this study, polyhedral oligomeric silsesquioxane (POSS) nanoparticles were functionalized with silver nanoparticles (Ag), superparamagnetic iron oxide nanoparticles (SPIONs), and the biosurfactant rhamnolipid (RL)-either individually or in combination-to evaluate their antibacterial and antibiofilm activities against Staphylococcus aureus (S. aureus) and Pseudomonas aeruginosa (P. aeruginosa). The modified nanoparticles exhibited sizes ranging from 127 to 227 nm and demonstrated superparamagnetic behavior, offering potential for magnetic targeting. Among the various formulations, the RLcoated, silver- and SPION-decorated POSS nanoparticles (RSMP) exhibited the highest antibacterial efficacy, reducing S. aureus and P. aeruginosa colony growth by approximately 90 % and 66 %, respectively, at a concentration of 0.01 g/L. RSMP nanoparticles also showed strong biofilm inhibition and had the lowest MIC50 values. Notably, these nanoparticles supported the proliferation of human osteoblasts at concentrations up to 0.05 g/L, indicating favorable cytocompatibility. Overall, RSMP nanoparticles present a promising platform for magnetically targetable antibacterial agents, with potential applications in biomedical fields, particularly for managing orthopedic infections.Öğe Peas, natural resources for a sustainable future: a multifaceted review of nutritional, health, environmental, and market perspectives(Frontiers Media SA, 2026) Nikolic, Nada Cujic; Mutavski, Zorana; Savikin, Katarina; Zivkovic, Jelena; Pavlovic, Suzana; Jones, Petra; Copperstone, Claire; Aytar, Erdi Can; Aydin, Betul; Van Bavegem, Evelien; Kunili, Ibrahim Ender; Ozmen, Ozge; Kusumler, Aylin Seylam; Unal, Derya Ozalp; Gunduz, Selin; Lara, Szymon Wojciech; Akin, Meleksen; Orahovac, Amil; Balazs, Balint; Milesevic, Jelena; Sirbu, Alexandrina; Negrao, Sonia; Knez, MarijaThe pea (Pisum sativum L.) is an emerging pillar in plant-based nutrition and sustainable food systems due to its high-quality proteins, diverse bioactive compounds, and agroecological benefits. This review provides an updated synthesis of the nutritional composition, health-promoting properties, and environmental relevance of peas, emphasizing recent scientific findings. Pea seeds typically contain 20%-40% protein, 45%-55% starch, and 10%-15% dietary fiber, alongside essential micronutrients such as vitamin C (40-60 mg/100 g), folate (60-70 mu g/100 g), vitamin K (30-45 mu g/100 g), iron (1.5-2.0 mg/100 g), and manganese (0.4-0.6 mg/100 g). Their storage proteins, primarily legumin and vicilin, offer high digestibility and amino acid profiles compatible with human requirements, supporting their rapidly growing use in protein isolates and meat- and dairy-alternative products. Peas represent a valuable source of phenolic acids, flavonoids, and saponins, which contribute to notable antioxidant (50-120 mu mol Trolox/g) and anti-inflammatory activities demonstrated in preclinical studies. Compared with other legumes, peas exhibit a lower glycemic index (35-45), making them suitable for metabolic health applications. Agronomically, pea cultivation enhances soil fertility through biological nitrogen fixation (up to 150 kg N/ha), supporting reduced fertilizer inputs and improved crop rotation performance, aligning with circular economy and climate-resilience strategies. Despite these advantages, global consumption and breeding innovation remain insufficient to meet the rising demand for alternative proteins. Future opportunities include improving protein extraction technologies, valorizing processing side-streams, and exploring underutilized phytochemicals to strengthen the nutritional and sustainability profile of pea-based food systems.Öğe Corporate social responsibility and idiosyncratic volatility: a dynamic approach with environmental, social and governance considerations(Emerald Group Publishing Ltd, 2026) Pirgaip, Burak; Doruk, Omer Tugsal; Ertugrul, Hasan Murat; Barak, Ahmet YasirPurposeThis study aims to examine the dynamic relationship between corporate social responsibility (CSR), environmental, social and governance (ESG) performance and environment-based executive compensation (EBEP) and firm-specific risk, by providing an integrated analysis of all three sustainability dimensions and their differentiated temporal effects on idiosyncratic volatility (IVOL).Design/methodology/approachThe analysis uses a dataset of S&P 500 nonfinancial firms covering the period from 1983 to 2024. To capture the short- and long-term dynamics between sustainability-related variables and IVOL, the study uses the local projections (LP) method, which allows flexible estimation of impulse response functions without imposing dynamic restrictions. Our empirical setting also accounts for endogeneity by incorporating the Generalized Method of Moments (GMM) analysis into the LP framework.FindingsThe results show that CSR engagement reduces IVOL, especially in the medium term. ESG helps reduce risk as these practices become institutionalized. EBEP triggers short-term volatility, but it ultimately leads to persistent risk reduction. Robustness tests confirm these dynamics. Notably, the interaction between EBEP and CSR leads to a pronounced and persistent reduction in IVOL.Originality/valueThis study addresses a gap in the literature by uncovering the differentiated and time-varying effects of sustainability strategies on firm-specific risk, an underexplored area. It also introduces EBEP as a novel governance mechanism and demonstrates its synergistic effect with CSR in sustaining long-term risk reduction. Methodologically, the use of LP, along with a GMM-based analysis, provides a flexible and forward-looking estimation of risk trajectories and a valuable guidance to balance sustainability with risk management.Öğe XAI-CF - Examining the role of explainable artificial intelligence in cyber forensics(Pergamon-Elsevier Science Ltd, 2026) Alam, Shahid; Altiparmak, ZeynepWith the rise of complex cyber devices, Cyber Forensics (CF) is facing numerous new challenges. For instance, many systems are operating on smartphones, each hosting millions of downloadable applications. Analyzing this vast amount of data and making sense of it requires innovative techniques, particularly those from Artificial Intelligence (AI). To successfully implement these techniques in CF, it is essential to justify and explain the results to CF stakeholders. This will enable informed decision-making and foster trust in AI systems. An explainable AI (XAI) system can fulfill this role in CF, and we refer to this system as XAI-CF. Although XAI-CF is crucial, it is still in its early stages of development. Thus, there is a need to investigate and advocate for the importance and benefits of XAI-CF. Furthermore, previous studies do not provide a comprehensive survey of XAI's role in CF. Many only briefly address the challenges and ways to enhance XAI for this field, and none have proposed a unified framework for an XAI-CF system. To address these research gaps, this paper discusses the key requirements and prerequisites for an XAI-CF system. We present a thorough literature review of prior works that apply and utilize XAI to build and enhance trust in CF. In addition to discussing the challenges faced by XAI-CF and offering concrete solutions, we introduce the first XAI-CF framework that cohesively integrates XAI principles across every stage of the CF lifecycle. We believe that our work provides a solid foundation for future researchers interested in XAI-CF.Öğe Polyacrylonitrile nanofibers with hollow NiCu, Ni, and Cu nanospheres: Boosting electrocatalysis via enhanced interfacial charge transport and storage(Elsevier, 2026) Sarac, Baran; Karazehir, Tolga; Zadorozhnyy, Vladislav; Moskovskikh, Dmitry; Yermekova, Zhanna; Gumrukcu, Selin; Yuce, Eray; Sarac, A. SezaiMultifunctional catalytic materials combining polymers with nanoparticles (NPs) lie in advancing their long-term stability, scalability, and predictable performance under real-world operating conditions. In this study, polyacrylonitrile (PAN) nanofibers loaded with hollow nickel (Ni), copper (Cu), and nickel-copper (NiCu) nanoparticles were fabricated. X-ray diffraction confirmed crystalline metal phases in the amorphous PAN matrix while indicating that similar to 25 % of Cu as CuO. Spectroscopic analysis revealed alterations in the nitrile and aliphatic stretching bands resulting from NP incorporation. Cu/PAN exhibited a more than twofold increase in the -C-H to -CN bond area, attributed to oxygen-containing functional groups from CuO formation. UV-Vis spectra demonstrated tunable absorbance: NiCu/PAN exhibited the broadest and most intense absorption across 250-500 nm, reflecting strong plasmonic coupling between alloyed particles. Electron microscopy illustrated uniform dispersion of NPs on PAN surface, with all three nanofibers showing continuous and bead-free morphology, while NiCu composites displayed reduced NP agglomeration compared to monometallic counterparts. Electrochemical impedance spectroscopy in 0.1 M LiClO4/ACN highlighted that NiCu/PAN possessed the lowest charge transfer resistance (R-ct approximate to 9.13 x 10(2) Omega cm(2)) and highest double-layer capacitance (C-dl approximate to 43.6 mu F cm(-2)), surpassing Ni/PAN and Cu/PAN analogues. Furthermore, the smallest overpotential at 1 mA cm(-2) (-197 mV) and Tafel curve (similar to 286 mV dec(-1)) were obtained for NiCu/PAN in 1 M KOH. The main objective of this research was to demonstrate that bimetallic interactions in hollow NiCu particles synergistically enhance interfacial charge transport and storage, thereby showing how metal composition and PAN nanofiber integration can optimize polymer-based nanocomposites for energy and environmental applications.Öğe Dynamic current control of High-Gain Buck-Boost power transfer for electric Vehicle-to-Vehicle (V2V) charging with PV integration(Elsevier, 2026) Inci, Mustafa; Berber, Omer; Buyuk, Mehmet; Ozbek, Necdet SinanThis study presents an eco-friendly charging solution with an improved charging methodology for a high-efficiency off-board Vehicle-to-Vehicle (V2V) charging interface supported by photovoltaic (PV) power to facilitate energy exchange between light electric vehicles (EVs). The proposed method uses dynamic current control to adapt charging current in real time according to solar irradiance and the state of charge (SoC) of the vehicles. This approach improves energy transfer compared to conventional constant current (CC) and multistage CC methods, which use fixed or stepwise charging profiles and cannot fully utilize variable PV power. A high-gain quadratic buck-boost (QBB) converter is employed to enable both step-up and step-down operation, making the system suitable for vehicles with different voltage levels. The control strategy combines dynamic current control with an enhanced incremental conductance (InC) maximum power point tracking (MPPT) algorithm to maximize solar energy use. Performance results from processor-in-the-loop simulations show that the proposed system achieves more stable voltage regulation, better SoC improvement (+0.056 %), and higher charging efficiency than conventional CC and multi-CC methods under varying conditions. The performance findings show that the proposed V2V-PV interface provides a robust and efficient charging approach, supporting sustainable and grid-independent electric mobility.Öğe PIV Investigation of Flow Structures Around Rotating Circular Cylinders with Dimpled Surfaces(Springer, 2026) Goktepeli, Ilker; Ispir, Murat; Kurtulmus, Nazim; Aksoy, Muharrem HilmiFlow around rotating cylinders with dimples has been evaluated at a Reynolds number of Re = 2000. It has been determined since the rotational influence was more effective for lower Re values. Angular dimple distributions have been considered as 15 degrees <= beta <= 60 degrees. Different rotation rates have also been evaluated from alpha = 0 to alpha = 1.26 as lower rotation rates for the current Re were significant to suppress the vortex shedding. Particle Image Velocimetry (PIV) results have been compared by those of a bare cylinder. The wake regions have been shrunk due to dimpled surfaces. Excluding the case of alpha = 0.42 for a bare cylinder (4.5%), the regions had tendency to approach the bodies. The highest displacement (-78.9%) to the cylinder has been attained for beta = 15 degrees with alpha = 1.26 as observed. The lowest value (-5.6%) has been obtained by alpha = 0.42 for beta = 45 degrees by approaching the cylinder. For the influence of passive flow control, the cases without rotation have been regarded and beta = 60 degrees was more dominant. For the wake lengths, the changes for F and S locations have also been exhibited in the wake regions as these points affecting the length of recirculation bubble were substantial. As interpreted from the vorticity results, peak values were more dominant in the cylinder wakes. Since the rotation rates were increased, these regions tended to shrink. It is related to the presence of fluctuations in the wake regions. The displacements of maximum turbulence kinetic energy values have been shown for the level of turbulence intensity. Turbulent intensity has been enhanced in the regions closer to the bodies except the stationary cases of beta = 30 degrees and beta = 45 degrees. Nevertheless, the forced rotation was more effective.Öğe Decarbonizing Yarn Production: ISO 14064-Aligned Carbon and Energy Footprint Assessment for a Sustainability-Oriented Supply Chain at Ulusoy Textile(Taylor & Francis Inc, 2026) Gul, Berfin; Varli, Rabia Sultan Yildirim; Demirdelen, Tugce; Kadem, Fusun DobaAs global climate commitments intensify, the textile industry faces growing pressure to quantify and reduce greenhouse gas (GHG) emissions. This study presents a carbon footprint assessment of yarn manufacturing at Ulusoy Textile, following ISO 14064 and an extended five-scope approach: Scope 1 - direct emissions, Scope 2 - indirect emissions from purchased energy, Scope 3 - indirect emissions from transportation, Scope 4 - emissions from products used by the organization, and Scope 5 - emissions and removals from product use. Using 2023 data on raw material procurement, energy consumption, logistics, and facility activities, total emissions were 30,146.80 tCO2e, equivalent to 40.19 tCO2e per employee and 0.003 tCO2e per ton of yarn. Energy use and raw material sourcing were the main contributors, while efficiency measures and renewable energy reduced emissions, and product use provided balancing effects. Uncertainty was assessed via Monte Carlo simulations, and materiality analysis identified key parameters for inventory robustness and verification. These findings establish a verification-ready baseline for Ulusoy Textile's decarbonization strategy and propose a scalable ISO 14064-aligned framework for yarn producers seeking EU Green Deal and Carbon Border Adjustment Mechanism compliance, supporting innovations in circularity, energy efficiency, and net-zero pathways. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)ISO 14064(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)Ulusoy Textile(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic): (sic)(sic)1--(sic)(sic)(sic)(sic),(sic)(sic)2--(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)3--(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)4--(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)5--(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)2023(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)30146.80(sic)(sic)(sic)(sic)(sic)2e, (sic)(sic)(sic)40.19(sic)(sic)(sic)(sic)(sic)2e(sic)(sic)(sic)(sic)(sic)0.003(sic)(sic)(sic)(sic)(sic)2e(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)Ulusoy Textile(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)ISO 14064(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).Öğe A double-edged sword: capital market investments as a decarbonization policy of non-financial firms in the EU(Emerald Group Publishing Ltd, 2026) Doruk, Omer TugsalPurposeThe present study addresses how capital market investment by real sector firms, often associated with low productivity and weak investment in the current literature under the financialization hypothesis, may in fact offer an environment-related advantage in the context of EU countries.Design/methodology/approachThe present study examines the effect of financialization on carbon emissions among firms operating in 12 EU countries, employing multivariate regression models.FindingsFirm-level data from 2002 to 2019 indicate that equity investment reduces corporate carbon emissions across the 12 EU countries analyzed.Originality/valueThe present study provides new empirical evidence on the relationship between financialization and carbon emissions in EU countries.Öğe Benchmarking TabNet, NODE, and FT-Transformer for Software Defect Prediction: An Empirical Comparison and Explainability Analysis(IEEE-Inst Electrical Electronics Engineers Inc, 2026) Asal, Burcak; Yalciner, BurcuSoftware defect prediction (SDP) is essential for improving software quality and reliability. Traditional machine learning methods, while effective, often fail in capturing complex interactions among software metrics. Recently, specialized deep learning architectures designed for tabular data, including TabNet, Neural Oblivious Decision Ensembles (NODE), and FT-Transformer, have emerged, offering promising potential to enhance prediction accuracy and interpretability. This study comprehensively benchmarks the TabNet, NODE and FT-Transformer models on the challenging NASA JM1 dataset from the PROMISE repository. We address severe class imbalance using NearMiss undersampling and ensure hyperparameter optimization for fairness across comparisons. The performance of the models was evaluated using standard metrics: precision, recall, F1-score, and accuracy. In addition, the interpretability of the model was assessed using SHAP and LIME methods. The FT-Transformer and NODE models demonstrated superior performance, achieving 88% accuracy compared to the accuracy of TabNet 86%. FT-Transformer showed exceptional precision (99%) for defect detection, emphasizing its low false-positive rate. SHAP and LIME analyzes revealed unique attention patterns for each model, highlighting differences in feature importance and decision-making processes. FT-Transformer and NODE outperform TabNet in accuracy and balance between recall and precision. Interpretability analysis provides actionable insights into feature importance, enabling better decision-making in practical SDP workflows.Öğe Effects of urban street geometry and traditional kabalti passages on building surface temperature in a hot-dry climate(Nature Portfolio, 2026) Ergin, Sefika; Gider, Kubra Suna; Seker, Ibrahim Halil; Yildizhan, Hasan; Ameen, ArmanIn hot climate regions, the direct impact of solar radiation on building surfaces, including heat absorption and storage, negatively impacts outdoor comfort and the living conditions of urban residents. This study investigates the impact of urban street geometry on building surface temperatures in a hot and dry climate, focusing on the traditional Suri & ccedil;i district of Diyarbak & imath;r. Measurements were conducted at 25 locations throughout the year along streets with varying sky view factor (SVF) values and within vaulted covered passages (kabalt & imath;s). In the study, a Testo 410-2 anemometer was used to measure air temperature and a thermal camera was used to measure surface temperature. The results show smaller daily surface temperature amplitudes in regions with lower SVF values and in kabalt & imath;s with an SVF value of 0. Measured surface temperatures reached as high as 58.8 degrees C at high SVF locations, while they remained around 30 degrees C in shaded kabalt & imath;s. The findings indicate that street geometry parameters such as building height, spacing, and orientation significantly influence microclimate conditions. Differences of up to 15-20 degrees C were observed between shaded kabalt & imath;s surface temperatures and other surface temperatures at measurement points where the SVF value was close to 1. Reducing SVF through design strategies such as the use of kabalt & imath;s and planting trees can improve outdoor thermal comfort in hot climates.Öğe An investigation into the use of 3D printing technology for geogrids(Emerald Group Publishing Ltd, 2026) Ok, Bahadir; Unverdi, MurtedaThree-dimensional (3D) printers with large-scale printing capabilities may enable engineers to print their geogrids, which would be especially useful at outlying construction sites where acquiring geogrid can be challenging or expensive. Nevertheless, for 3D geogrids to be used effectively for geotechnical applications like mechanically stabilised earth walls (MSE walls) or ground improvement, they must be able to interlock with soils in a manner similar to factory-made geogrids. The aim of this study is to comprehensively investigate the interlocking mechanisms of 3D-printed geogrids with different soils by comparing them with factory-made geogrids. To achieve this, tensile tests were conducted to determine the tensile characteristics of the 3D-printed geogrids produced in the study. In addition, large-scale direct shear tests were performed by placing 3D geogrids with soils of different grain roundness values. All test results were presented by comparing them with the test results conducted on factory-made geogrids with properties similar to the 3D-printed geogrids. The 3D-printed geogrid improved the soil shear strength; however, it was found to be more brittle and provided less interlock with soils than the factory-made geogrid. These results suggest that the production method of the geogrid was a significant factor.Öğe An Integrated FAHP-IF-COPRAS Approach for Evaluating Airport Sustainability Performance in T�rkiye(MDPI, 2026) Yuksel, Fatma Seyma; Tekin, PirilThis study proposes a multi-dimensional, fuzzy logic-based decision-making framework to assess airport sustainability performance under uncertainty, addressing a notable gap in the literature. The proposed model integrates the Fuzzy Analytic Hierarchy Process (FAHP) to determine the weights of sustainability criteria and the Intuitionistic Fuzzy COPRAS (IF-COPRAS) method to evaluate airport alternatives. The assessment considers four main sustainability dimensions: environmental, economic, social, and technical/institutional. A case study involving five major airports in T & uuml;rkiye reveals that environmental and economic indicators play a pivotal role in shaping sustainability performance. While Istanbul Airport (IST) demonstrated the highest performance across all scenarios, a comparison with Airport Carbon Accreditation (ACA) levels indicates that carbon-focused certification alone is insufficient to reflect the full spectrum of sustainability outcomes. This research presents a novel and robust evaluation framework, contributing to the limited body of fuzzy logic-based MCDM applications for airport sustainability in the Turkish context. The findings offer actionable strategic insights for policymakers and airport managers regarding investment prioritization, operational strategy reinforcement, and the alignment of airport development with long-term sustainability goals. The results are validated through rigorous sensitivity analyses, confirming the robustness of the model despite the focused expert panel.Öğe Unpacking early risks for peer victimization: A network analysis of early temperament and polygenic risk scores(Wiley, 2026) Wu, Tom C. H.; Konac, Deniz; Garcia-mondragon, Liliana; Martin, Alex F.; Maughan, Barbara; Barker, TedBackground Children who show difficult temperament are at risk of peer victimisation, which in turn associates with numerous negative outcomes later in life. We used network analysis to examine whether specific aspects of difficult temperament contributed to these associations, and whether the links were moderated by variations in genetic liability for ADHD, schizophrenia, and depression.Methods In 3354 mother-child dyads (51.8% female), we examined in three steps: (i) the network structure of difficult temperament as indexed by adaptability, intensity, and mood (age 2), (ii) its item-level associations with peer victimisation (ages 8, 10, and 13), and (iii) moderation of these associations by polygenic risk scores (PRS) for ADHD, schizophrenia, and depression.Results Indicators of difficult temperament formed a coherent network that was associated with peer victimisation. Regarding PRS moderation, for those high in PRS (top 10%) for ADHD and schizophrenia, indicators of temperamental intensity and mood were associated with peer victimisation, respectively. For those high in PRS for depression, however, aspects of temperament were no longer associated with peer victimisation. Finally, the network results for those in the general population across all PRS (bottom 90%) largely resembled the model estimated using the full sample.Conclusion The findings highlight specific temperamental behaviours as risk factors for peer victimisation; additionally, children high in PRS for neurodevelopmental disorders may be at especially high-risk for this outcome early in development.Öğe Multimodal deep learning for estimating mean precipitable water vapor(Wiley, 2026) Mowla, Md. Najmul; Aksoy, Muhammed M.; Pinar, Engin; Bilgili, Mehmet; Durhasan, TahirPrecipitable water vapor (PWV) is a crucial atmospheric variable that influences weather systems, climate variability, and hydrological processes. Accurate PWV estimation is essential for improving numerical weather prediction, climate modeling, and remote-sensing applications. However, existing methods often rely on extensive meteorological inputs or computationally intensive architectures, limiting their applicability in data-sparse regions. This study introduces a novel hybrid framework, EMMA-NN-BiGRU-XGBoost, designed to forecast monthly mean PWV across Turkey using only four physically meaningful inputs: latitude, longitude, altitude, and seasonal indicators. The framework integrates an enhanced multimodal attention (EMMA) mechanism that disentangles spatial, altitudinal, and seasonal influences, improving interpretability and physical consistency. Bidirectional gated recurrent units (BiGRU) capture temporal dependencies, and XGBoost models nonlinear feature interactions within a weighted stacking ensemble. Hyperparameters are optimized via particle swarm optimization and Bayesian optimization, with particle swarm optimization demonstrating superior tuning efficiency. Extensive benchmarking against traditional machine-learning models, using grid search and random search with fivefold cross-validation, as well as deep-learning baselines, demonstrates significant improvements in predictive accuracy, achieving an root-mean-square error of and an of 0.92, representing a 15%-20% reduction in error compared with state-of-the-art methods. The model also exhibits robustness across diverse climatic zones in Turkey. Shapley additive explanations further elucidate feature importance, aligning model outputs with climatological principles. Beyond methodological advances, this work provides a scalable, interpretable, and data-efficient baseline for PWV forecasting, thereby facilitating enhanced climate diagnostics, hydrological risk assessments, and early warning systems, particularly in regions with limited meteorological observations.Öğe Exploring the impact of Galbanum on the functionality of gelatin-based packaging films(Frontiers Media SA, 2026) Bhatia, Saurabh; Shah, Yasir Abbas; Alhadhrami, Aysha Salim; Khan, Talha Shireen; Jawad, Muhammad; Al-Harrasi, Ahmed; Koca, Esra; Aydemir, Levent Yurdaer; Alam, TanveerIntroduction The current study was designed to investigate the effect of Galbanum absolute over the physico-chemical and antioxidant properties of gelatin films.Methods Traditional casting method was used to fabricated gelatin and galbanum absolute film samples. The developed films were further subjected to FTIR, XRD, SEM, and DSC analysis determine their physiochemical and structural properties.Results It was found that with an increase in the concentration of Galbanum absolute, film thickness (0.07 mm - 0.17 mm), thermal stability, and contact angle (51.53 degrees - 80.14 degrees) were increased whereas transmittance (63.44 - 90.32) and crystallinity of the samples decreased. Furthermore, the incorporation of Galbanum absolute significantly increased the antioxidant properties (from 39.44% to 61.99% for DPPH radical scavenging activity and 8.89% to 62.86% for ABTS radical scavenging activity) of gelatin films. However, micrographs of Galbanum absolute-loaded films showed an increase in roughness and cracks over the films with the addition of Galbanum absolute.Discussion Therefore, further optimization of the Galbanum absolute proportion in the biopolymer films can result in the development of stable active packaging. These findings highlight the potential applications of Galbanum absolute as a natural additive in biodegradable food packaging materials to enhance the thermal stability and antioxidant properties.Öğe The Impact of Vision Problems on Households' Incomes: Evidence From the 2019 and 2022 Rounds of the Turkey Health Survey(Wiley, 2026) Glewwe, Paul; Gul, Hasan; Tansel, Aysit; Wisniewski, SuzanneVision problems reduce individuals' quality of life, and they also reduce their productivity as workers and consequently decrease their incomes. Most vision problems can be corrected with properly fitted eyeglasses, but many people with vision problems do not have such eyeglasses. There is very little research to date on the impact of vision problems on workers' productivity, and no studies at a national scale. This paper addresses this gap by estimating the impact of vision problems on the probability of working and on the household incomes of workers, using a nationally representative survey from Turkey. Estimates indicate that vision problems reduce the employed population by 2.1% and the income of those who are employed by 1.4%. Combined, the overall impact of vision problems is to reduce household income by 3.5%.Öğe A stochastic bilevel model to manage symbiotic flows in an Industrial Symbiosis network under demand uncertainty(Pergamon-Elsevier Science Ltd, 2026) Da, Gulesin Sena; Ilkaya, Murat Ye; Altinkaynak, Bura; Birgoren, BurakIndustrial symbiosis (IS) networks offer a valuable means of reducing environmental impacts by optimizing by-products utilization and minimizing resource consumption. However, managing these networks remains challenging due to uncertainties in supply and demand, as well as the hierarchical decision-making structures within eco-industrial parks (EIPs). This study presents a novel stochastic bilevel programming model to coordinate by-product flows in an IS network. The model balances the EIP authority's objective of minimizing raw material use with companies' objectives of maximizing profits under uncertain demand. Unlike single-objective models, our bilevel approach uncovers intricate relationships between conflicting objectives. Applied to a theoretical IS network in the forest products industry, the model shows that demand fluctuations disrupt material flows and increase raw material consumption, worsening the EIP authority's environmental objectives, however, paradoxically, boost company profits by encouraging higher production. This interesting trade-off between the hierarchical objectives along with the model's ability to maintain feasible operations under varying demand conditions demonstrates the network's resilience.Öğe Impact of dimpled surfaces on the hydrodynamic flow patterns of circular cylinders(Springer, 2026) Kurtulmus, Nazim; Ispir, Murat; Aksoy, Muharrem Hilmi; Goktepeli, IlkerThe motivation of this study is the evaluation of the dimpled patterns on a cylinder surface in terms of controlling the turbulent flow structures. To reach this goal, the cylinders with dimples have been manufactured by utilizing a high-resolution 3D printer and these cylinders have been subjected to cross-flow in a water tunnel and the flow data have been acquired by Particle Image Velocimetry (PIV) at Reynolds number (Re) values of 4000 and 6000. The dimple formation angle (beta) on the cylinder surface texture varied between 15 degrees and 60 degrees, with the dimples arranged to be in-line formation around the entire cylinder circumference. Vortex formation length for bare cylinder was nearly Lf = 2.75 at Re = 4000. Its slight decrement has been obtained by increasing beta. However, it suddenly reached 3.15 at beta = 45 degrees. Its trend at Re = 4000 was not obvious at Re = 6000. It was 2.4 and remained approximately constant as beta increased. The results revealed that dimpled surfaces could become an effective tool to control the flow characteristics over the cylinders, resulting in reducing the undesired dynamic forces. The vortices shed from the sides of the cylinders with dimple surfaces interact to a lesser extent, leading to an elongation of the shear layer compared to that of a bare cylinder. Moreover, the severity of Reynolds shear stress attenuated and the high-intensity cluster formations have been delayed in a particular case, such as beta = 45 degrees at Re = 4000.Öğe Bioclimatic comfort and solar responsive urban design in the traditional street texture of Diyarbakir's Suri�i region(Nature Portfolio, 2026) Gider, Kubra Suna; Ergin, Sefika; Yildizhan, Hasan; Ameen, ArmanPeople in urban areas (such as streets, parks, semi-open and enclosed spaces) are exposed to varying microclimatic conditions. These conditions change depending on environmental characteristics and directly affect individuals' bioclimatic comfort levels. The lack of climate-responsive urban planning exposes inhabitants to uncomfortable thermal stress. Establishing climate-sensitive thermal comfort conditions at the micro scale is therefore essential for creating more livable urban environments. In hot-arid climates, kabalt & imath;s, roofed passages integrated into the street network, are among the spatial elements that influence pedestrian thermal comfort. However, there is limited knowledge in the literature regarding the thermal performance of these shaded structures, which provide both protection from solar radiation and shelter from rain and wind. This study aims to reveal the impact of kabalt & imath;s, as traditional urban elements in hot-arid regions, on bioclimatic comfort, and to contribute to the development of climate-responsive urban design strategies. Due to the scarcity of research on the thermal performance of kabalt & imath;s, the findings of this study provide new insights into climate-adaptive design solutions within traditional street networks and serve as a guide for urban planning practices. The research was conducted in the historical district of Diyarbak & imath;r Suri & ccedil;i, focusing on six kabalt & imath;s and their surrounding streets located in the Ziya G & ouml;kalp, Abdaldede, and S & uuml;leyman Nazif neighborhoods. At a total of 19 measurement points, air temperature, relative humidity, and wind speed were recorded over the course of one year. Using the RayMan Pro software, Physiological Equivalent Temperature (PET) values were calculated, and Sky View Factor (SVF) values were determined for comparative analysis. The results indicate that the studied streets and kabalt & imath;s were exposed to varying degrees of heat and cold stress throughout the year. Shaded zones and kabalt & imath;s exhibited lower air temperature and PET values compared to other points. In this hot-arid setting, the presence of covered, shaded areas was found to be effective in reducing solar exposure and lowering thermal stress during summer months. The measurements further revealed that urban geometry, particularly building height and street width, influenced solar radiation access and wind speed, thereby affecting PET values. In addition, no direct correlation was observed between SVF and PET, highlighting the need to consider other parameters when assessing bioclimatic comfort.
