Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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Citation - Scopus: 4
The Two-Type Estimates for the Boundedness of Generalized Fractional Maximal Operator on the Generalized Weighted Local Morrey Spaces
(Association of Mathematicians (MATDER), 2020) Kucukaslan, A.
In this paper, we study two-type estimates which are the Spanne and Adams type estimates for the continuity properties of the generalized fractional maximal operator Mρ on the generalized weighted local Morrey spaces M{x0}p,ϕ (wp) and generalized weighted Morrey spaces M p,ϕ1/p (w), including weak estimates. We prove the Spanne type boundedness of the generalized fractional maximal operator Mρ from generalized weighted local Morrey spaces M{x0}p,ϕ1 (wp) to the weighted weak space WM{x0}q,ϕ2 (wq) for 1 ≤ p < q < ∞ and from M{x0}p,ϕ1 (wp) to another space M{x0}q,ϕ2 (wq) for 1 < p < q < ∞ with wq ∈ A q.We also prove the Adams type boundedness of Mρ from Mp,ϕ1/p(w) to the weighted weak space WMq,ϕ1/q (w)for 1 ≤ p < q < ∞ and from Mp,ϕ1/p (w) to Mq,ϕ1/q (w) for 1 < p < q < ∞ with w ∈ Ap,q. The all weight functions belong to Muckenhoupt-Weeden class Ap,q. In all cases the conditions for the boundedness of the operator Mρ are given in terms of supremal-type integral inequalities on the all ϕ functions and r which do not assume any assumption on monotonicity of ϕ1 (x, r), ϕ2 (x, r) and ϕ(x, r) in r. © MatDer.
Computing the Closeness Centralities of a Type of the Probabilistic Neural Networks
(Technical University of Civil Engineering of Bucharest, 2021) Turaci, T.
The study of communication networks is an important area of different researches. The vulnerability of a network computation the reliability of the network to deterioration of transaction after the disturbance of certain centers or communication links. Recently, different centrality parameters have been proposed and studied for communication networks, also they play important role in the areas of network vulnerability. The position of a node in a network can be determined using the these measures. In this paper, the closeness, the vertex residual closeness and normalized vertex residual closeness of a type of the probabilistic neural networks which has been recently defined by in [14, 18] have been computed. In here, the probabilistic neural networks are consisted of three layers of nodes, also they are denoted by P NN(n, k, m), where n, k and m are positive integers. © 2021, Technical University of Civil Engineering of Bucharest. All rights reserved.
Sugar and Resveratrol Content of Black Mulberry Juice: The Role of Different Temperatures in the Storage Process and Their Effects on Nutritional Values
(Murat Yakar, 2026) Çağlar, E.; Kadakal, Ç.; Dönmez, A.; Şengün, P.
In this study, the changes in the chemical and physical properties of black mulberry juice during storage at different temperatures (4 °C, 20 °C, 30 °C, and 40 °C) over a period of 6 months were investigated. The study examined changes in pH, titratable acidity, Brix value, total phenolic compounds, antioxidant activity, sugar content, and bioactive components such as resveratrol. The pH value remained stable throughout the storage period, while a slight decrease was observed in titratable acidity. The Brix value also remained constant. The total phenolic compound content, which was initially 650.3 ± 0.4 mg GAE/L, decreased to 480.0 ± 0.5 mg GAE/L after 6 months at 40°C. Antioxidant activity decreased during storage, with the greatest reduction observed at 40°C. Sugar content increased due to the rise in glucose and fructose levels, while sucrose content rapidly decreased at higher temperatures. At 40 °C, sucrose became undetectable after 5 months. Resveratrol content also declined significantly during storage, particularly at elevated temperatures. Kinetic analysis revealed that resveratrol degradation followed first-order reaction kinetics. As storage temperature increased, the degradation rate constant (k) increased, while the half-life (t₁/₂) decreased from 55.88 hours at 4 °C to 5.25 hours at 40°C. © 2026, Murat Yakar. All rights reserved.
Human Metapneumovirus-Associated Liver Enzyme Elevation in Children: Case Series of Nine Patients
(Lippincott Williams & Wilkins, 2026) Elmas, Abdulkerim; Koca, Tugba Gursoy; Akcam, Mustafa; Ozdemir, Orkun Cemal
Tailoring Surface Properties of Cotton Fabric With Polycarboxylic Acids for High-Performance Inkjet-Printed Conductive Patterns
(Institute for Color Science and Technology, 2026) Soleimani-Gorgani, A.; Goudarzi, A.; Rahmani, Z.; AviNc, O.; Shirkavand Hadavand, B.
The design of new inks is such that they create the desired properties on the substrate while maintaining the characteristics of the ink. The need to produce conductive and smart fabrics with inkjet printers is one of the challenges of today. In this study, an ink was created that creates an electrically conductive layer on cotton fabric after printing. To create the aforementioned layer, first a chemical reduction process is performed using an inkjet printer, and the electrical conductivity is created by the printed layer. For this purpose, in the first stage, a silver nitrate-based ink was formulated, and to increase the electrical conductivity of the printed layer, biodegradable carboxylic acids with different functional groups were used to increase the crosslinking process of cotton fabric. After treating the prepared fabrics and printing with silver nitrate and sodium hypophosphite-based ink, the electrical resistance of the printed layer and the effect of the number of functional groups on it were investigated. Also, the thermal properties, visible/ultraviolet spectroscopy, and infrared analysis of the prepared ink and the morphology of the printed nanoparticles were investigated. The results showed that the surface tension of the synthesized ink was 38.6±1.37 mN/m. The best sample was butane tetracarboxylic acid, which showed a wrinkle reversibility angle of 157 degrees and a decrease in tensile and force at break point values of 11.38 and 12.48 %, respectively. The lowest electrical resistance was also found in this sample, which was 0.10 megaohm after 5 printings. © Institute for Color Science and Technology.
Insights and Innovations of Artificial Intelligence in Healthcare and Public Health: A Bibliometric Analysis
(Springer Nature, 2025) Ettadili, H.; Darvishmohammadi, T.
Background and Aim: Artificial intelligence (AI) is reshaping healthcare and public health by driving innovations in medical research, clinical practice, and disease management. This study provides a comprehensive bibliometric analysis of a decade of research on AI applications in healthcare and public health. Methods: A search query was formulated to retrieve relevant publications from the Web of Science Core Collection (WoSCC) database covering the period from 2015 to 2025. Bibliometric analysis and network visualization were performed using Bibliometrix (RStudio) and VOSviewer. Results: The analysis revealed substantial scientific growth, with an overall increase of 59% in publications over the last decade. Among 160 contributing countries, the United States, China and India were the most productive. A total of 14,222 institutions and 55,586 authors were identified, reflecting the expanding global research network. Keyword co-occurrence analysis showed emerging trends in integrating AI with the Internet of Things (IoT) and cloud computing to enhance smart healthcare and real-time monitoring while addressing privacy and predictive modeling challenges. Furthermore, AI applications in digital health, telemedicine, and virtual or augmented reality are improving healthcare accessibility. Machine learning, particularly neural networks, is advancing disease diagnostics, while deep learning and computer vision are revolutionizing cancer detection and digital pathology. AI-driven big data analytics and natural language processing have also enhanced public health surveillance during the COVID-19 pandemic. Conclusions: The growing body of literature highlights AI’s accelerating role and transformative potential in shaping the future of healthcare and public health. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.
Adult-Onset Niemann–Pick Disease Type C: A Diagnostic and Therapeutic Odyssey of a Rare Condition
(Scientific Scholar LLC, 2025) Unluturk, Z.; Teke, E.
Niemann–Pick disease type C (NPTC) is a rare, autosomal recessive disorder characterized by lysosomal lipid storage and progressive neurodegeneration. While NPTC typically presents in infancy or childhood, adult-onset cases pose significant diagnostic challenges due to their resemblance to common neuropsychiatric conditions. This case report describes a 34-year-old male presenting with inattention and forgetfulness, initially misdiagnosed with attention deficit and depression. His symptoms, including clumsiness and memory loss, were progressive over 8 years. Despite normal routine neurological examinations and non-specific findings on brain magnetic resonance imaging, the Neuropsychiatric Test Battery suggested organic factors affecting various cognitive functions. Genetic testing confirmed NPTC, and the patient was started on miglustat. This case underscores the importance of considering NPTC in the differential diagnosis of early-onset dementia and unexplained neuropsychiatric symptoms in adults. Early recognition and intervention with disease-modifying therapies like miglustat are crucial for improving patient outcomes. The case adds to the growing evidence that adult-onset NPTC is underrecognized and highlights the need for heightened clinical suspicion and comprehensive evaluation, including genetic testing, in patients with atypical neurological presentations. © 2025 Published by Scientific Scholar on behalf of Journal of Neurosciences in Rural Practice.
Chitosan Composite Textile and Electrostimulation Enhanced Wound Dressing Design
(Gazi Univ, Fac Engineering Architecture, 2025) Altintas, Fatma; Akdeniz, Aslihan; Bulut, Duygu Takanoglu; Koluman, Ahmet
Purpose: The main purpose of this study was to develop a wound dressing system aimed at accelerating the healing process and reducing the development of decubitus ulcers. Theory and Methods: The research proposes developing a new system by combining two different treatment approaches. This system consists of a spacer fabric coated with a mixture of chitosan and glycerol and an electrostimulation device. Firstly, the chitosan and chitosan/glycerol mixture were applied to polyamide (PA) and polyester (PES) spacer fabrics by foulard, printing, and laboratory-based dip-coating processes. In addition, an electrostimulation system was developed using a Howland circuit. Results: The obtained spacer fabrics were evaluated for amount of release and application, elasticity, antimicrobial activity and performance of the electrostimulation system. The antibacterial activity of the spacer textiles containing chitosan was good. The application and release values of the glycerol-containing spacer fabrics were found to be superior to those of the other manufactured fabrics. A prototype was constructed, and a circuit simulation was performed. The proposed electrostimulation device has demonstrated the ability to speed up the healing process by applying current pulses at specific intervals to increase the activation energy of the wound healing mechanism. Conclusion: The study's findings showed that the proposed system enables a more thorough and efficient approach to the treatment and management of decubitus ulcers, improving patient outcomes and significantly advancing the healthcare industry.
Faster, Better?: Testing Artificial Intelligence Accuracy for Neurosurgical Literature Analysis
(Lippincott Williams & Wilkins, 2025) Civlan, Serkan; Berker, Berk Burak; Berker, Defne Sahinoglu; Erbek, Nevzat Dogukan; Dogruel, Yucel; Gungor, Abuzer; Luzzi, Sabino
With the rapid rise of artificial intelligence tools, applications like ChatPDF are seen as promising for supporting academic tasks in neurosurgery, such as literature review, summarization, and question generation. However, its accuracy and relevance remain to be critically assessed. This study assesses ChatPDF's accuracy in interpreting neurosurgical research articles, aiming to identify its strengths and limitations. Articles from the 10 highest-ranked neurosurgical journals were reviewed by selecting the first original research article from each journal's 2023 volume. Ten detailed questions were independently generated by 2 researchers based on each article's content. Each article was then uploaded to ChatPDF, which generated its own questions and provided responses to both its questions and those posed by the researchers. Responses were categorized as completely correct, partially correct, or incorrect. Source reliability was also evaluated to determine ChatPDF's performance. An overall accuracy rate of 89% was achieved by ChatPDF across 100 questions, with 89% of responses classified as completely correct, 5% as partially correct, and 6% as incorrect. Source reliability averaged 83%, although variability was noted, particularly in journals such as the Journal of Neurosurgery: Spine and Neurosurgery Clinics, which showed lower reliability rates. Substantial accuracy and potential were demonstrated by ChatPDF as a supplementary tool for neurosurgical literature review. However, limitations such as inconsistent source reliability and lack of visual content analysis highlight the need for ongoing refinement. While promising, ChatPDF should be used alongside manual verification to ensure comprehensive and accurate literature interpretation in neurosurgical research.
Part 2: Cationization of Cotton Bedsheet Fabrics by Pad-Batch Method
(E.u. Printing and Publishing House, 2025) Yildirim, Fatma Filiz; Elibuyuk, Sultan Aras; Avinc, Ozan; Koyuncuoglu, Mehmet Ulan; Yumru, Saban
Cotton is the most widely used fibre in manufacturing, which, being negatively charged, requires various electrolytes to be dyed with negative dyestuffs. These electrolytes cause a large environmental waste water load and unfortunately many of them are released into the environment after waste water treatment. It seems possible to overcome this problem by cationization cotton. This research paper is a two-part study. In the first part of the paper has two sections. The initial section of this paper, 100% cotton terry towel fabrics were subjected to cationization procedures during and after the bleaching process in a laboratory setting, utilizing six distinct commercial cationization agents by using exhaustion method. The cationized cotton terry towel fabrics were then subjected to dyeing procedures: salt-free reactive dyeing, conventional reactive dyeing and acid dyeing. The CIELAB values, rubbing and washing fastness, and colour strength (K/S) of the fabrics were then compared. Subsequently, a decision analysis study (analytical hierarchical process, AHP) was conducted to identify the optimal cationization agent and processes for big commercial-scale applications. The criteria included color strength, color fastness, and cationic agent cost. In light of the findings of the AHP studies, CA1 coded cationization agent (based on polyammonium compounds) was identified as the optimal cationic agent for utilization in commercial dyeing, the specifics of which will be outlined in the subsequent paper. Moreover, the findings indicated that cationization should be carried out after bleaching. The second section of the paper presents the results of big commercial scale cationization, reactive and acid dyeing's carried out using the selected cationization agent and exhaustion processes. The influence of these processes on the properties of fastness (perspiration, wash, and water fastness) and physical characteristics (tensile strength and water absorption) of cotton terry towel fabrics was evaluated by statistical comparison. The chemical oxygen demand, ammonium nitrogen, total chemical, energy, and water consumption of the commercially available dyes were also compared to assess their environmental impact. The second part of the study examined the cationization of cotton fabrics used for bed sheets - an important home textile product - using the pad-batch method, followed by dyeing. The weaving of fabrics generally occurs in an open-width configuration, wherein the fabric is spread out during the weaving process. This characteristic renders pad-batch dyeing processes particularly well-suited for the treatment of woven fabrics. It may be concluded that rope dyeing is not a common practice when it comes to woven fabrics. Rope dyeing has been observed to result in the formation of crease marks and uneven dyeing on woven fabrics. The first part of the article provides a detailed exposition of the cationization and dyeing of towel fabrics through the utilization of the rope dyeing method (exhaustion). The second part elucidates the cationization and dyeing of bed sheet fabrics employing the open-width dyeing method (pad-batch). The CIELAB values, rubbing and washing fastness, and colour fastness (K/S) values of the cotton bed sheet fabrics were statistically compared. The statistical analysis indicated that cationic agents and dyeing types exerted a statistically significant effect on K/S. In a similar manner, the quantity of cationic agent had a significant effect on the K/S values. Furthermore, the batching time subsequent to the dyeing process resulted in significant important effect in the K/S values of the fabrics. The factor groups that ensure the colour strength value remains at its optimal (maximum) level are, in order: cationic agent; CA1 coded cationization agent (based on polyamine compounds), cationic agent amount; 5g/l and a waiting (batching) time of 8 hours. In view of the findings, the following conclusions can be drawn with regard to reactive dyeing by pad-batch method: the optimum values in terms of environmental aspects and dyeing can be accepted as 5 g/l of CA1 cationic agent and 8 hours batching.
An Integrated Approach for Transformer Maintenance Service of a Production Facility
(Gazi University, Faculty of Engineering Architecture, 2025) Belenkoylu, Hande; Goren, Hacer Guner
In an intensely competitive environment, ensuring the continuity of production of enterprises largely depends on the continuity of their machinery and equipment. Therefore, maintenance activities are considered critical operations for a business. It is crucial to procure maintenance services from suppliers that can meet the business's requirements, in this context to determine the most appropriate supplier by evaluating the performance of the eligible ones. Supplier selection can be expressed as the process of determining the most appopriate alternative based on criteria and alternatives determined by considering the requirements, working conditions, experience, and fields of activity. In this study, the problem of transformer maintenance service procurement of an enterprise operating in Denizli has been addressed and an integrated method has been proposed. In the proposed method, Fuzzy FUCOM (Full Consistency Method) is used in the weighting of criteria and Fuzzy MAIRCA (Multi-Attribute Ideal-Actual Comparative Analysis) method is used in the evaluation of alternatives. A sensitivity analysis is carried out to analyse the robustness of the results and compared. In each scenario, it can be concluded that the fifth supplier provides consistent results and the best alternative that the service can be taken; however, it will be appropriate not to take any service from suppliers numbered three and four.
Numerical Modelling of the Aerodynamic Effect of the Distance Between Two Vehicles Following Each Other
(Gazi University, Faculty of Engineering Architecture, 2025) Tas, Ibrahim; Dedeoglu, Orhan
Purpose: This study presents a detailed Computational Fluid Dynamics (CFD) analysis of the aerodynamic interactions between two vehicles travelling in tandem, based on the reference Ahmed Body geometry. The primary objective is to investigate the influence of inter-vehicle spacing on the wake structure, as well as on drag and lift coefficients (Figure A), with particular emphasis on aerodynamic variations induced by wake interference. Theory and Methods: Numerical analyses were conducted on a two-vehicle configuration modeled with the Ahmed Body featuring a 35 degrees rear roof slope, with inter-vehicle distances ranging from 0.125 L to 2.0 L. The simulations employed a pressure-based solver in conjunction with the Realizable k-epsilon turbulence model. Initially, a mesh independence study was performed on a single-body setup, and the numerical model was validated against benchmark experimental data from the literature. In the second phase, aerodynamic coefficients-namely drag (Cd), lift (Cl), and pressure (Cp)-were comparatively assessed for various spacing values, focusing on the wake structure's influence in a convoy configuration. Results: The results demonstrate that at the shorter following distances (particularly at 0.125 L and 0.25 L), the wake of the leading vehicle strongly impinges upon the trailing vehicle, resulting in asymmetrical pressure distributions. A positive pressure effect was observed at the rear of the leading vehicle, while lowpressure regions were formed at the frontal face of the trailing vehicle. As the inter-vehicle distance increased, the wake interaction diminished, and both vehicles exhibited flow characteristics closer to the isolated case. The normalized coefficients (Cd/Cd, isolated and Cp/Cp, isolated) confirm the accuracy of the numerical approach and its strong agreement with literature data. Conclusion: This study clearly highlights the critical role of wake dynamics in two-vehicle convoy aerodynamics. Especially at reduced following distances, wake-vehicle interaction leads to significant variations in drag and lift forces. The findings provide valuable insights for aerodynamic optimization in platooning scenarios and offer a robust physical basis for advanced vehicle arrangement strategies.
GenAI and Robots in Autism Spectrum Disorder: A New Frontier in the Age of Human-AI Interaction
(IGI Global, 2025) Elumar-Efe, E.; Sağdıç, A.; Yigit, H.; Canpolat-Cig, N.; Sani-Bozkurt, S.
The rapid advancement of Generative Artificial Intelligence (GenAI) and social robotics presents exciting possibilities, particularly in the education of children with Autism Spectrum Disorder (ASD). ASD is a complex neurodevelopmental condition that impacts communication, behavior, and social interactions, and traditional educational methods often struggle to meet the unique needs of these individuals. GenAI-powered robots offer innovative solutions by creating personalized learning experiences, adapting to each child’s pace and style, and fostering social and emotional skills. These robots can also serve as social companions, enhancing engagement in ways that traditional methods may not. While the integration of GenAI and social robots in ASD education holds great promise, it also raises ethical and privacy concerns. Ensuring these technologies are inclusive and respectful of all learners’ needs is crucial. In conclusion, GenAI-powered robots represent a groundbreaking step in special education, offering significant potential to support children with ASD. © 2026 by IGI Global Scientific Publishing. All rights reserved.
Citation - Scopus: 1
A Cross-Cultural Comparative Study on Turkish and German Parents’ Attitudes Towards Children's Risky Play from Nature-Based Preschools
(Springer Science+Business Media, 2025) Deniz, U.H.; Cevher-Kalburan, N.
This study aims to compare parents' approaches in nature-based preschools in Turkey and Germany to identify similarities and differences and, thus, to understand risky play better. This research, planned as a cross-cultural study, was conducted as a multiple case study, one of the qualitative research designs. For this purpose, one nature-based preschool from Turkey and one from Germany were selected through purposive sampling. Fourteen parents from Turkey and 11 parents from Germany participated in the study. Data were collected through interviews. The research found that parents might create some barriers to risky play. Parents' concerns, supervision, overprotective attitudes, and lack of space and time were the factors that prevented risky play. Furthermore, parents' reactions and roles in the play were also analysed regarding their effects on risky play. According to the findings, the most common emotion experienced by parents during risky play was anxiety. German parents frequently stopped or terminated the play and made explanations, while Turkish parents often preferred the role of warning and not allowing children. The findings were discussed in the light of the literature, and conclusions were drawn. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
What Makes Organisations Resilient During COVID-19 Pandemic? the Essential Role of Strategic Human Resource Management Practices and IT Infrastructure
(Inderscience Publishers, 2025) Yamin, M.A.Y.; Kiziloglu, M.
The role of strategic human resource management (SHRM) has been validated in achieving organisational performance. Nevertheless, SHRM factors have been rarely studied to investigate organisational resilience and sustainability. Drawing on the task technology fit model, IT infrastructure and strategic human resource factors this study develops an integrative research model to investigate organisational resilience and sustainability during COVID-19 pandemic. In addition to that the moderating effect of employee psychological health is conceptualised between organisational resilience and sustainability. Using convenience sampling approach 320 questionnaires were retrieved for inferential analysis. Results indicate significant impact of employee ability, opportunity enhancing, motivation enhancing, IT infrastructure, technology and task characteristics in measuring organisational resilience with substantial variance R2 78.8%. Practically, this research suggests that during COVID-19 pandemic organisational resilience and sustainably could be achieved through adequate IT infrastructure, task characteristics and employee psychological health. © © 2025 Inderscience Enterprises Ltd.
Comparative Analysis of Extended and Unscented Kalman Filters for SOC Estimation in Lithium-Ion Batteries: A Model-Based Approach
(IEEE Computer Society, 2025) Ortatepe, Z.
Accurate state of charge (SoC) estimation is critical for lithium-ion batteries, especially under dynamic load conditions. This paper compares the performance of the extended Kalman filter (EKF) and the unscented Kalman filter (UKF) for SoC estimation using a MATLAB/Simulink-based model. To simulate battery dynamics, a second-order equivalent circuit model is used. Both filters are implemented under identical initial conditions and noise characteristics. Evaluation metrics include estimation error, convergence rate, and numerical stability. Simulation results show that while EKF and UKF achieve comparable accuracy in steady-state operation, the UKF demonstrates improved performance during transient conditions. Despite the theoretical advantages of UKF in handling nonlinearities, its practical benefits are most evident during dynamic phases. These results indicate that filter selection may consider transient behavior and computational constraints depending on the requirements. © 2025 IEEE.
An Enhanced Variable Neighborhood Search Algorithm for Rich Multi-Compartment Vehicle Routing Problems
(Springer Science and Business Media Deutschland GmbH, 2025) Polat, O.; Kalayci, C.B.; Topaloğlu, D.
Multi-compartment vehicles are widely used in logistics to transport products with incompatible qualities or types, which necessitate separation into distinct compartments. This practice tackles the fundamental challenge of the multi-compartment vehicle routing problem (MCVRP), a complex logistical issue that this study seeks to analyze in depth. Our research extends the core MCVRP framework by integrating a broader range of real-world complexities, including product variety (multicommodity), divisible customer demand, time windows, and the use of a heterogeneous fleet of vehicles. To tackle the intricacies of the rich MCVRP (rMCVRP), we propose an enhanced variable neighborhood search (VNS) algorithm that ensures both scalability and robustness. This study pioneers the evaluation of the algorithm's performance against established VRP benchmarks, specifically adapted to address the unique challenges of the rMCVRP. Prior to addressing the rMCVRP, the VNS algorithm is validated on standard multi-compartment VRP scenarios to establish baseline performance. The VNS algorithm demonstrates effectiveness and efficiency on specific test instances, as evidenced by our comprehensive analysis and comparison with core MCVRP benchmarks. The results indicate that the proposed VNS algorithm constitutes a notable advancement in logistics optimization, showcasing its ability to effectively manage the complexity and diversity inherent in contemporary routing problems. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Psychometric Properties of Turkish ChatGPT Usage and Attitudes Scales in Nursing Students
(Elsevier Inc., 2025) Ceylan, Hatice; Yangöz, Ş.T.
Background: ChatGPT and other generative artificial intelligence tools are increasingly used in nursing education. Although a Turkish TAM-based ChatGPT Usage and Attitude Scales exists, further psychometric validation following international standards and educational settings is necessary. Aim: This cross-sectional study evaluated the reliability, validity, and interpretability of Turkish Technology Acceptance Model-based ChatGPT Usage and Attitudes Scales. Methods: This study, conducted from September to December 2024 at a Turkish university health college, used an online survey with the General Information Questionnaire and Technology Acceptance Model-based ChatGPT Usage and Attitudes Scales to assess reliability, validity, and interpretability. Results: A total of 306 undergraduate nursing students took Usage Scale and 423 Attitudes Scale. Internal consistency was sufficient, with Cronbach's α = 0.70 for Usage and 0.78 for Attitudes. Test-retest reliability was good with ICC 0.971 for Usage and 0.986 for Attitudes. Both scales had no measurement error, excellent content validity with S-CVI ≥ 0.90, good construct validity, and demonstrated good structural validity and interpretability. Conclusions: These scales evaluate nursing students' usage and attitudes toward ChatGPT for practical integration into health education. © 2025 Organization for Associate Degree Nursing
Noise Experiences of Patients Undergoing Total Knee Arthroplasty During the Intraoperative Process: A Mixed-Design Study
(W.B. Saunders, 2025) Özsoy, H.; Salık, H.; Öztürk, M.H.
Purpose The study was conducted to determine the experiences of patients who underwent total knee arthroplasty regarding the noise they were exposed to in the operating room and recovery unit. Design The study employed a mixed-methods design. Methods The study was conducted between March and June 2024 in a public hospital located in the Mediterranean region of Turkey. The sample consisted of 20 patients who underwent total knee arthroplasty. Quantitative data were collected using the Patients’ Descriptive Characteristics Form, Surgical Fear Questionnaire, Surgical Period Data Collection Form, and Numerical Rating Scale. Qualitative data were obtained through a Semi-Structured Interview Form. The data were analyzed using MAXQDA 2022 and SPSS (24.0) software. Findings The mean age of the patients participating in the study was 66.4 ± 7.72 years and 75% were female. Preoperative anxiety was present in 70% of the patients, whereas 60% stated that they were not disturbed by intraoperative noise. The mean total score of the Surgical Fear Questionnaire was 36.15 ± 14.81, indicating a moderate level of surgical fear. Patients who were disturbed by intraoperative noise had a higher mean total score on the Surgical Fear Questionnaire. In the qualitative phase of the study, three main themes and nine codes related to these themes were identified, reflecting the patients' experiences of noise. The main themes were defined as “Sounds,” “Emotions,” and “Coping.” Conclusions This study revealed that patients with high preoperative anxiety experienced more surgical fear during surgery and were more disturbed by auditory stimuli. Motor and hammer sounds increased feelings of fear in some patients, while music was found to be disturbing and associated with headaches by some participants. Some patients were observed to turn to spiritual coping strategies to cope with these stimuli. © 2025 The American Society of PeriAnesthesia Nurses.
Algorithmic Bias in Generative AI: Implications for Critical Pedagogy, Inclusivity, and Equity in Education
(IGI Global, 2025) Nayir, F.; Sarı, T.
This chapter examines the implications of algorithmic bias in generative AI for critical pedagogy, inclusion, and equity in education. This chapter explores how generative AI tools, increasingly prevalent in educational settings, can perpetuate cultural, gender, racial, socioeconomic, and accessibility biases due to skewed educational data and design choices. Through a critical pedagogy lens, they highlight the risks of reinforcing systemic inequalities and marginalizing diverse learners, drawing on real-world examples and theoretical frameworks from scholars such as Freire and Noble. The chapter suggests actionable strategies for reducing bias and aligning AI with educational justice, such as diversifying data sources, encouraging inclusive development teams, ensuring transparency, and implementing ongoing audits. The chapter concludes with a call for educators, policymakers, and technologists to collaboratively reimagine AI as an equitable learning tool, as well as directions for future research. © 2026 by IGI Global Scientific Publishing. All rights reserved.

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