Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14720/4

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Automating Thematic Analysis With Multi-Agent LLM Systems
(CEUR-WS, 2025) Sankaranarayanan, S.; Borchers, C.; Simon, S.; Tajik, E.; Atas, A.H.; Celik, B.; Shahrokhian, B.
Thematic analysis (TA) is a method used to identify, examine, and present themes within data. TA is often a manual, multistep, and time-intensive process requiring collaboration among multiple researchers. TA’s iterative subtasks, including coding data, identifying themes, and resolving inter-coder disagreements, are especially laborious for large data sets. Given recent advances in natural language processing, Large Language Models (LLMs) offer the potential for automation at scale. Recent literature has explored the automation of isolated steps of the TA process, tightly coupled with researcher involvement at each step. Research using such hybrid approaches has reported issues in LLM generations, such as hallucination, inconsistent output, and technical limitations (e.g., token limits). This paper proposes a multi-agent system, differing from previous systems using an orchestrator LLM agent that spins off multiple LLM sub-agents for each step of the TA process, mirroring all the steps previously done manually. In addition to more accurate analysis results, this iterative coding process based on agents is also expected to result in increased transparency of the process, as analytical stages are documented step-by-step. We study the extent to which such a system can perform a full TA without human supervision. Preliminary results indicate human-quality codes and themes based on alignment with human-derived codes. Nevertheless, we still observe differences in coding complexity and thematic depth. Despite these differences, the system provides critical insights on the path to TA automation while maintaining consistency, efficiency, and transparency in future qualitative data analysis, which our open-source datasets, coding results, and analysis enable. © 2025 for this paper by its authors.
Foreword
(IGI Global, 2024) Turan, A.M.
How Does Energy-Related Uncertainty Affect Global Food Prices? Asymmetric Evidence From the Frequency Domain
(Peter Lang AG, 2025) Karagöl, V.
The Impact of Climate Policy Uncertainty on Agricultural Investments
(Turkish Journal of Agricultural Economics, 2025) Karagöl, V.; Şahin, A.
Purpose: The agricultural sector is strategically important for sustainable development and food security. However, climate change and the increasing physical and political uncertainties that come with it put investments in this sector at risk. This study examines the relationship between climate policy uncertainty and agricultural investments in the USA from 1995-2022. Design/Methodology/Approach: The nonlinear ARDL method and asymmetric causality test are used to analyze the relationships between climate policy uncertainty and agricultural investments. Nonlinear methods allow us to measure asymmetric effects on the dependent variable by evaluating the positive and negative changes of the explanatory variables separately. Findings: According to the NARDL model results, increases in climate policy uncertainty reduce agricultural investments in the long run. The asymmetric causality test provides additional evidence for the asymmetric relationships identified by the NARDL model. There is a statistically significant asymmetric causality from the positive shock of climate policy uncertainty to the negative shock of agricultural investments. Originality/Value: This study fills the gap in the literature by examining the impact of climate policy uncertainty on investments in the agricultural sector. This provides a new perspective to understand the long-term consequences of this relationship in a highly climate-sensitive area such as the agricultural sector. © 2025, Turkish Journal of Agricultural Economics. All rights reserved.
Another Approach to Factoring by Continued Fractions
(Association of Mathematicians (MATDER), 2025) Hanoymak, T.; Kayak, C.
The problem of prime factorization is particularly important in fields such as cryptography, where it plays a crucial role, especially in the security of public key cryptosystems like RSA Algorithm. There are numerous factorization algorithms that have been developed over time, each with varying levels of complexity. These algorithms have played a crucial role in fields like mathematics and cryptography, where prime factorization remains a key challenge. In this study, the continued fraction method, one of the factorization methods, is examined. To highlight the importance of the continued fraction factorization method, a brief mention is made of the vulnerability of RSA Algorithm to attacks, such as Weiner’s attack, which exploits small private keys. Our approach aims to enhance the efficiency of factorization by integrating this method with relevant theorems by giving concrete examples with detailed tables. © MatDer.
Using Different Machine-Learning Algorithms To Predict Dissolved Oxygen Concentration in Rainbow Trout Farms
(Central Fisheries Research Institute, 2026) Karataş, B.; Çakmakçı, C.; Yücel, E.S.; Demir, M.; Şen, F.
Dissolved oxygen (DO) is a vital parameter in intensive rainbow trout aquaculture, directly influencing fish growth, health, and survival. As such, accurate monitoring and prediction of DO levels are crucial for ensuring sustainable and efficient aquaculture practices. This study assessed and compared the predictive performance of four machine learning algorithms Multivariate Adaptive Regression Splines (MARS), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Averaged Neural Networks (avNNet) in estimating DO concentrations based on a range of water quality parameters. A total of 120 samples were collected from 12 rainbow trout farms across Türkiye. The input variables included suspended solids, electrical conductivity, turbidity, nitrate, nitrite, ammonia, ammonium, orthophosphate, pH, water temperature, and total phosphorus. DO levels ranged between 8 and 15 mg/L. Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percent Error (MAPE), and the coefficient of determination (R²). All models demonstrated strong predictive accuracy, with XGBoost achieving the best overall performance (MAE: 0.44, RMSE: 0.58, MAPE: 0.04, R²: 0.78), followed by RF, avNNet, and MARS. These findings highlight XGBoost as a robust predictor of dissolved oxygen levels in aquaculture systems, which may contribute to improving water quality management and increasing productivity in rainbow trout aquaculture. © 2026, Central Fisheries Research Institute. All rights reserved.
Pomological and Biochemical Properties of Blackberry (Rubus Fruticocus) Genotypes
(John Wiley and Sons Inc, 2025) Dogan, H.; Aglar, E.; Ozturk, B.; Tekin, O.; Alan, D.; Sumbul, A.
The aim of this study was to examine the genotypes of wild blackberries growing naturally in Tunceli province in terms of fruit characteristics and to determine the ones with superior characteristics. Nine different genotypes were determined by population screening and 100 fruits were collected from each genotype. The physical properties such as fruit weight, length, width, as well as color, chemical content, and antioxidant properties were examined. Statistically significant differences were found among the genotypes; fruit weight, length, and width varied between 0.71 and 1.19 g, 10.08 and 12.63 mm, and 12.25 and 14.33 mm, respectively. The G9 genotype had the largest fruits, and the G6 genotype had the smallest fruits. In fruit color analyses, significant differences were observed among the genotypes, and the G2 genotype stood out with the highest L* value (20.05), but G9 had the lowest a* value (0.92). Total soluble solids (TSS) content varied between 11.95% in G2 and 21.10% in G7. Vitamin C content was highest in the G6 genotype (54.46 mg 100 g−1), while G9 had the lowest vitamin C content (22.66 mg 100 g−1). Significant differences were also observed among the genotypes in terms of phenolic content, flavonoids, anthocyanins, and antioxidant activity. As a result, in this study, significant differences in organic acid contents were determined among wild blackberry genotypes in Tunceli province. The G1 genotype was the richest in malic acid, while the G6 was the genotype with the highest ascorbic acid level. Various differences were also found among the genotypes in terms of oxalic acid, citric acid, and other organic acid contents. These findings may constitute an important resource in determining the commercial production and potential health benefits of wild blackberries. In the selection of blackberry genotypes, consideration of these organic acid contents is important, especially in terms of taste and nutritional value. © 2025 The Author(s). Food Science & Nutrition published by Wiley Periodicals LLC.
Parameter Reduction for PMV Prediction Via Data Driven Approaches Using the ASHRAE Global Thermal Comfort Database II and Chinese Dataset
(Elsevier Ltd, 2025) Rahmanparast, A.; Milani, M.; Camci, M.; Karakoyun, Y.; Dalkilic, A.S.
Thermal comfort significantly impacts building occupants’ well-being, efficiency, and energy consumption. In this research, ASHRAE Thermal Comfort Database II, a comprehensive dataset consisting of 85,583 thermal comfort observation records, was used to develop ML models that can predict Fanger's PMV. While implementing the proposed model, feature selection analyses were used to indicate the importance of the parameters. The objective of the study is to reduce the factors to predict PMV from six (Tr, Va, Ta, clo, RH, and M) to three (Ta, clo, and M), keeping the predictions accurate and considering new, practical, and cost-effective aspects as the second work in the literature on the reduction of PMV factors having the higher accuracy. In the work, 10 ML techniques were evaluated, and the XGBoost model showed superior performance. The model attains remarkable outcomes for accuracy and interpretability by emphasizing critical characteristics: Ta, clo, and M. The research reveals that optimized version of XGBoost can improve the accuracy rate of PMV prediction to 96.29 % with 0.93 R2,0.124 MAE and 0.93 CV-R2 Mean values, while Lasso, the least accurate model among the 10 tested models, achieves an accuracy rate of 59.63 % with 0.22 R2, 0.478 MAE and 0.22 CV-R2 Mean values. The validation has been performed with various methods including cross-validation with ASHRAE Thermal Comfort Database II and fine-tuning using the Chinese Thermal Comfort Dataset containing 41,977 records. This work aims to increase the popularity of PMV usage, providing a practical and generalized solution suitable for a broad audience. © 2025 Elsevier Ltd
Toxicity Mechanism, Exposure Pathways, and Environmental Risk Assessment of Microplastic Pollution
(CRC Press, 2025) Aronzon, C.M.; Areco, M.M.
This chapter reviews the published information on the impact of microplastic (MP) pollution in aquatic environments, focusing on toxicity mechanisms and exposure pathways. The aim is to elucidate how MPs affect aquatic organisms and ecosystems. The study analyzes the behavior of MPs in aquatic systems and their potential to harm aquatic biodiversity-ecosystem functioning. It explores pathways such as runoff and wastewater through which MPs enter aquatic systems. The study provides insights into the specific impacts of MP pollution on aquatic ecosystems, facilitating a better understanding of their consequences. By identifying pathways and potential risks, this text aims to contribute valuable knowledge to ongoing efforts to understand, manage, and mitigate the impact of MPs on aquatic environments. © (Publisher name) (publishing year) all right reserved.
Development of EV Charging Topologies and Communication Protocols for Resilient Grid Integration and V2X Applications in Sustainable Energy Systems
(Elsevier Ltd, 2025) Khan, M.A.; Çelik, D.; Waseem, M.; Meral, M.E.
The global shift towards eco-friendly refuelling infrastructure, driven by the electrification of vehicles, has catalyzed extensive research and development to enhance electric vehicle (EV) charging stations for cleaner production, sustainable development, and overall sustainability. Energy storage systems (ESSs) are pivotal in this transition, essential for harmonizing power generation and consumption, especially with the growing integration of renewable energy sources, smart technologies, and long-range EVs. By fostering synergies between transportation systems and electricity networks, these advancements are instrumental in advancing a net-zero energy system, promoting greater sustainability and energy efficiency. Power electronics converters (PECs) and their associated controls and optimizations are crucial for enhancing the value of battery ESSs by providing efficient and cost-effective technologies. This comprehensive review explores various papers and technical reports focused on EV charging topologies and methodologies, dissecting their benefits and analysing the challenges of PEC topologies, EV charging infrastructures, EV standards and protocols, and grid ancillary services, as well as providing a detailed analysis of diverse charging scenarios. Motivated by the potential of PECs and ESSs to enhance the efficiency and cost-effectiveness of EV charging for cleaner production, this paper comprehensively reviews existing literature and technical reports. Challenges and suggestions are centred around the impact of electric vehicle grid integration (EVGI) on the power grid, along with an exploration of the challenges and prospects for future EVGI development trends and EV charging technologies. Furthermore, the paper delves into the technical aspects, issues, and ongoing progress of state-of-the-art charging methods and control strategies in the EV charging system. The challenges and recommendations presented in this paper are closely aligned with the latest available technologies, encompassing academic research contributions and real-world EV charging station projects operational across the globe, all aimed at advancing cleaner production, sustainable development, and overall sustainability in the transport sector. © 2025 The Author(s)
Fractal Nambu Mechanics: Extending Dynamics With Fractal Calculus
(Springer Science and Business Media Deutschland GmbH, 2025) Khalili Golmankhaneh, A.; Tunç, C.; Juraev, D.A.
In this paper, we extend the principles of Nambu mechanics by incorporating fractal calculus. This extension introduces Hamiltonian and Lagrangian mechanics that incorporate fractal derivatives. By doing so, we broaden the scope of our analysis to encompass the dynamics of fractal systems, enabling us to capture their intricate and self-similar properties. This novel approach opens up new avenues for understanding and modeling complex fractal structures, thereby advancing our comprehension of these intricate phenomena. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
The Relationship Between Nursing Students’ Psychological Well-Being and Virtual Environment Loneliness
(Inonu University, 2025) Atan, G.; Gündüz Oruç, F.; Eskici İlgin, V.
The aim of this study is to determine the relationship between psychological well-being and virtual environment loneliness of nursing students. This descriptive study was conducted between March and June 2023 at two state universities located in Northern and Eastern Anatolia, Türkiye. The research sample comprised 472 students. Data collection utilized a Personal Information Form, the Psychological Well-Being Scale, and the Virtual Environment Loneliness Scale. For data analysis, descriptive statistics, t-tests, ANOVA, and Bonferroni analyses were employed. A statistically significant moderate negative correlation was identified between students’ psychological well-being and their levels of virtual environment loneliness (p<0.05). The study also found that students experienced moderate levels of virtual environment loneliness. It was determined that as students’ psychological well-being levels increase, they are likely to experience less loneliness in virtual environments. Therefore, in order to increase the psychological well-being levels of male nursing students, reduce their virtual environment loneliness, and ensure that they use social media less, it is recommended to create social activity environments that will increase their face-to-face communication both in the university environment and in social responsibility projects and to encourage and create opportunities for students to participate in these activities. © 2025, Inonu University. All rights reserved.
Pi Distribution Method for Numerical Fracture Analysis of Reinforced Concretes (RC) Based Recycled Aggregates
(Springer Nature, 2025) Charef, M.; Tani, N.K.; Dilbas, H.
A numerical investigation was carried out for both cases of cracked and uncracked reinforced (RC) and fibrous reinforced (FRC) /unfibrous concrete specimens incorporating recycled aggregate (RA), which were assessed to explore the failure properties of these materials, using the “Pi Distribution Method” (PDM). PDM is based on the non-random distribution of aggregates, which depends on the falling aggregate experiment. A finite element (FE) software (ABAQUS) is used to model the concrete specimens. The results demonstrate an improvement in the mechanical properties of concrete after adding RA. The incorporation of RA into the concrete results in an increase in elasticity and greater displacement at loading due to their important ductility, high porosity, and weak bond to the cement matrix. RA contributes to enhancing post-cracking behavior and stress redistribution. The elastic behavior of RA concrete shows a more horizontal load-displacement curve, indicating its deformability. Both concrete reinforcements, by bars and fibers, are analyzed in terms of Load-Displacement and load-CMOD (Crack Mouth Opening Displacement) for the notched specimen. The addition of steel fibers to RA contributes to the increase of the linear elastic stiffness before and at the maximal force of the specimens by acting as dispersed reinforcement. The efficiency of the proposed numerical FE mesoscopic model based on PDM is confirmed for all the study cases. This study opens new paths in the literature, explores many types of recycled aggregates and various fiber types, and considers other structural elements as beams, columns, and joints. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.
Fissurectomy and Anocutaneous V-Y Flap in the Treatment of Chronic Anal Fissure: Clinical Experiences in Low Tone Cases
(Yuzuncu Yil Universitesi Tip Fakultesi, 2025) Cikman, O.; Aslan, F.
Chronic anal fissure is a common condition that severely affects the quality of life. For patients who do not respond to medical and conservative treatments, alternative treatment methods such as fissurectomy and anocutaneous V-Y advancement flap application stand out. This study aims to evaluate the outcomes of 53 patients who underwent fissurectomy and anocutaneous V-Y advancement flap treatment as a sphincter-preserving method. This study includes 53 female cases conducted at the Department of General Surgery, Van University Faculty of Medicine, between 2022 and 2024. Parameters such as demographic data (age, gender), number and type of deliveries, clinical features of chronic anal fissures, complications related to wound healing in the postoperative period, recurrence rates, and incontinence were examined. The anocutaneous V-Y advancement flap was successfully applied to all 53 patients, and all patients recovered within an average of 45 days. Only six patients developed wound dehiscence, which was completely healed by the sixth month. At the end of the 12-month follow-up, no recurrence or incontinence was observed in any case. This study demonstrates that the anocutaneous V-Y advancement flap is an effective and safe method for treating chronic anal fissures in patients with low anal tone who have undergone multiple vaginal deliveries. Due to its high success rate, low complication risk, and ability to preserve anal continence, this method should be considered an important alternative in chronic anal fissure treatment. © 2025, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
The Role of Pre-Service Education and School Climate on Teacher Identity: Evidence From a Developing Country
(Elsevier Ltd, 2025) Aydın, F.; Aslan, M.
Teacher identity is shaped through an ongoing, dynamic process that integrates personal and professional dimensions over time and within specific contexts. In this context, teacher education and school climate can be regarded as two key factors influencing the development of teacher identity. This study aimed to investigate the effects of pre-service education and school climate on the formation of teacher identity. Data were collected from 875 teachers working in Türkiye, a developing country. The research employed three measurement tools: the Teacher Identity Scale, the Teacher Perceptions Scale for Competency of Pre-Service Education and the School Climate Scale. Structural equation modeling (SEM) and Pearson product-moment correlation coefficient (PPMCC) analyses were conducted to examine the data. The findings revealed that both pre-service education and school climate play a significant role in shaping teacher identity and are meaningful predictors of it. Additionally, a moderate and positive correlation was found between teachers’ perceptions of pre-service education, school climate and their sense of teacher identity. © 2025 Elsevier Ltd
Comparative Efficacy of Rituximab Versus Azathioprine in the Treatment of MOG Antibody-Associated Disease (MOGAD)
(Elsevier B.V., 2025) Şen, S.; Kürtüncü, M.; Demir, S.; Gündüz, T.; Demirel, E.; Tütüncü, M.; Tuncer, A.
Background: Azathioprine (AZA) and rituximab (RTX) are frequently used drugs in the treatment of Myelin Oligodendrocyte Glycoprotein Associated Disease (MOGAD). Objectives: The aim of this study was to evaluate the efficacy and safety data of AZA and RTX treatments in MOGAD. Methods: Patients diagnosed according to the 2023 MOGAD diagnostic criteria and receiving AZA or RTX treatment were included in the study. Results: In 142 patients included in the study, the female/male value was 1.2. The rate of OCB positivity in MOGAD patients was 22.6 %. Patients on RTX had higher EDSS values than patients on AZA. However, the RTX group demonstrated a more pronounced improvement in disability, reflected by a greater negative trend in the ΔEDSS values. The attack-free rate was 78 % in the RTX group and 68 % in the AZA group during their treatment period. Both groups had no difference in the time of the first attack. The main factor affecting the time to first attack was having a higher EDSS at the time of treatment initiation. The survival analysis found that EDSS scores improved significantly in patients treated with RTX. Conclusion: Although survival analyses for both treatments appear to be similar, using RTX provides better EDSS scores. © 2025
Exploring the Captivating World of Gastro-Ethnobiology and Gastronomy Tourism Applications
(Emerald Group Publishing Ltd., 2025) Şengül, S.; Dişsiz, S.U.; Çakir, M.U.
The concept of ethnobiology examines cultural values in the context of human and environmental interaction, contributing to preserving local culture and biodiversity. The concept of gastronomy tourism involves experiencing the production, consumption, and table manners of local delicacies, and it is closely related to the region’s biodiversity. Gastronomy ethnobiology combines these concepts and forms the basis of people’s life experiences. It includes various elements such as wild plants, ancestral seeds, local crop diversity, and changes in nutrition patterns due to migrations. Gastronomy ethnobiology is often called the invisible fingerprints of local communities. This phenomenon is recognized as an invaluable part of our cultural heritage, underscoring the urgent need for a dynamic conservation strategy to ensure its enduring legacy for future generations. This research aims to establish a flexible network using a deep understanding of gastronomy, nature, culture, and the environment. How gastronomy tourism affects the sustainability of gastronomy ethnobiology was evaluated to achieve this. The research examined traditional food ethnobiology practices in the context of gastronomy tourism and their effects on sociocultural structure, biocultural diversity, and gastronomy practices. © 2025 Andrea Edurne Jimenez Ruiz, Volha Rudkouskaya, and Shivam Bhartiya.
Microplastic Pollution in Surface Waters and Sediments of Urban Lake
(CRC Press, 2025) Atici, A.A.
The use of plastic, which is largely included in our daily lives, causes an increase in microplastic (MP) concentrations in ecosystems. Microplastics can be found in surface waters, sediments, beaches, and some aquatic organisms. It has been revealed that pieces of plastic have been found in many places, from deserted islands to the poles and even the Mariana Trench, the deepest region in the world. Microplastics, which were first discovered in studies conducted in the oceans, have been determined to accumulate in fresh waters in recent years. Plastics, one of the most common pollutants in the city, are widely encountered in the lakes close to the city center. In addition to being transported by streams flowing into the lake, plastics can be directly contaminated into the lake by human-induced activities taking place in the lake. The types of microplastics formed by the breakdown of plastics vary depending on the characteristics of the polluting sources. In this study, the surface waters and sediments of lakes in the urban area where microplastics are contaminated were examined, and the characteristics and effects of the sources causing MP pollution were examined. © 2025 selection and editorial matter, Tonni Agustiono Kurniawan and Abdelkader Anouzla; individual chapters, the contributors.
Investigation of the Effect of Immersion and Ultrasound Pretreatments on Some Quality Characteristics of Pears Dried in Vacuum-Assisted Double-Sided Infrared Dryer
(Centenary University, 2025) Coşkun Topuz, F.; Uğurlu, S.; Bakkalbaşi, E.
In this study, the effects of different immersion solutions (maltodextrin and ascorbic acid), solution concentrations (7 and 14% for maltodextrin, 0.5 and 1% for ascorbic acid), immersion times (1, 5, and 10 minutes) and ultrasound amplitudes (0%, 50% and 100%) applied as pretreatment on pears dried in a vacuum-assisted two-way infrared dryer were investigated. Moisture, pH, and acidity values of fresh pear were determined as 81.15%, 4.50 and 0.26%, respectively. Glucose, fructose, sucrose, and total sugar values were calculated as 14.76, 26.51, 6.63, and 47.90 g 100g-1 DM, respectively. Total phenolic content amount, DPPH, and ABTS values were found to be 2461.35 mg GAE kg-1 DM, 407.76, and 206.79 mmol Trolox eq. kg-1 DM. Increasing ascorbic acid concentration prevented HMF formation with increasing ultrasound amplitude and duration, while increasing maltodextrin concentration increased HMF content, especially with increasing immersion duration. In terms of individual phenolics, ellagic acid was not detected in fresh pears, while ellagic acid was detected in dry samples together with chlorogenic acid and rutin. As the ultrasound duration applied in pretreatments increased, the amounts of all individual phenolic compounds in the samples, except for rutin, increased. In the sensory evaluation, the highest approval score was obtained from samples kept in 0.5% ascorbic acid solution and 50% ultrasound amplitude for 10 minutes. As a result, it was determined that the quality of pears dried in vacuum-supported two-way infrared dryers could be increased with the pretreatment combinations, and products with low HMF, high phenolic compounds, antioxidant activity, and approval levels could be produced. © 2025, Centenary University. All rights reserved.
Latissimus Dorsi Tendon Transfers for Irreparable Rotator Cuff Tears After Inferior Glenohumeral Dislocation: a Rare Case Report
(Elsevier Inc., 2025) Guven, N.; Ozcan, C.; Moran, İ.; Bilsel, K.

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