bluuebunny/crossref_metadata_2025 huggingface dataset:
Results of the implementation of the model of scientific and methodological system of training future primary school teachers to organize a safety-oriented educational environment under conditions of risks
Authors: Naumenko Nataliia , Nessonova Maryna
Published: December 2024

The article is devoted to the problem of professional training of future primary school teachers to organize a safety-oriented educational environment under conditions of risks in the context of reforming the educational system in Ukraine and taking into account global changes in all the spheres of human life, challenges, risks, and threats. The purpose of the article is to highlight the results of the experimental testing of the implementation of a model of a scientific and methodological system for the professional training of future primary school teachers to organize a safety-oriented educational environment under conditions of risks, which is due to the need to ensure quality primary education without endangering the life and health of all participants in the educational process, taking into account modern educational risks and threats. The implementation of the model involved updating psychological and pedagogical approaches, content, and theoretical and methodological substantiation of the professional training of future primary school teachers for this type of activity. The result of the model implementation is the formation of the readiness of future primary school teachers to organize a safety-oriented educational environment under conditions of risks. The diagnostic tools for experimental verification of the results of the model implementation are determined. The effectiveness of the implementation of the model of the scientific and methodological system of professional training of future primary school teachers for the organization of a safety-oriented educational environment under conditions of risks, which is presented in the results of the pedagogical experiment and is reflected in a statistically significant decrease in the proportion of future teachers with a low level of readiness to organize a safety-oriented educational environment under conditions of risks compared to the ascertaining stage of the study against the background of a significant increase in the proportion of future teachers with high  and middle levels of readiness to organize a safety-oriented educational environment under conditions of risks, is proved.
Discursive features of describing speech disorders in modern scientific literature
Authors: Apukhtina Viktoriia
Published: December 2024

The article is dedicated to analyzing the discursive features of describing speech disorders in contemporary scientific literature. The study emphasizes the importance of terminological precision, structural clarity, and stylistic adaptability in scientific texts that address speech disorders and corrective practices in speech therapy. The research is based on qualitative discourse analysis of texts, selected from peer-reviewed Ukrainian professional journals, published over the past five years. The objective of the study is to identify key characteristics influencing the perception and effective use of such texts by researchers, practitioners, and specialists in related fields.
The analysis of structure, terminology, genre, and stylistic features of the texts revealed several challenges and trends in modern speech therapy literature. In particular, the study identified significant variations in terminology usage, which often create barriers to interdisciplinary collaboration. Additionally, many texts were found to lack sufficient adaptation for practitioners, complicating their application in real professional activities. Genre analysis highlighted a gap between theoretical studies, which often lack specific recommendations, and empirical works that focus on narrow aspects without broader generalizations.
A set of recommendations for improving scientific texts is proposed, including the standardization of terminology, integration of practical examples, simplification of language, and adaptation of content for diverse audiences. Enhancing discursive strategies will contribute to improving the efficiency of interdisciplinary communication, the quality of educational materials, and the practical application of scientific research in speech therapy. The findings of this study can be used to develop methodological recommendations that ensure an integrative approach to addressing the tasks of speech therapy science
Essence and structure of professional self-realization of higher education students in China
Authors: Xiang Wang
Published: December 2024

The study examines the issues of structure and content of professional self-realization among higher education students in the People’s Republic of China (PRC). The relevance and importance of investigating the essence and structure of professional self-realization in PRC students are determined by the need to resolve the contradiction between the modern requirements for students’ professional self-realization as future specialists with significant well-developed professional qualities, defined motives, goals, values, orientations, and attitudes toward professional activities, and their actual level of readiness for such activities. This readiness encompasses acquiring the necessary knowledge, skills, and competencies, along with self-control and accountability for results. Moreover, a future specialist should possess advanced logical thinking, professional culture, and readiness for competitive professional activity in the labor market. Addressing these needs requires modernizing professional training in PRC higher education institutions through updated content, improved forms and methods of teaching, and innovative educational technologies. Professional self-realization involves achieving specific milestones in professional activity, such as acquiring new skills, attaining high-ranking positions, gaining recognition in the professional or expert community, or succeeding in own business. Specialists with developed self-realization capabilities often set ambitious goals, actively seek opportunities to achieve them, and strive for career advancement. Therefore, professional self-realization among PRC higher education students is one of the most significant and relevant educational challenges. Achieving the research objective involved developing a research program and applying appropriate methods, including analysis of legal and regulatory frameworks, scientific literature, educational and professional training programs for students, as well as studying the organizational and methodological support for the training process. Interviews with students and academic staff members of PRC higher education institutions were also conducted. The study found that students have an insufficient understanding of the essence and structure of professional self-realization, which is crucial for professional activities. Their knowledge of the structural components of professional self-realization is inadequate, which may negatively impact the quality of their education and future professional activity
Використання системи автоматичного керування вуликом в контексті розробки стратегії діджиталізації основного капіталу пасік України (на базі DIY-технологій модулів мікроконтролеру Arduino)
Authors: Спаський Ігор
Published: December 2024

У статті досліджено теоретичні та практичні аспекти впровадження системи автоматичного керування вуликом на базі Arduino як складової діджиталізації пасік України. Розроблено багатокомпонентну систему моніторингу параметрів життєдіяльності бджолиних сімей з контролем температури, вологості, ваги вулика, рівня CO₂ та акустичних показників, що включає функції автоматичного регулювання мікроклімату та віддаленого контролю. Проведено річне практичне випробування системи, яке продемонструвало підвищення ефективності виробництва. Визначено вплив діджиталізації на оптимізацію робочих процесів та зменшення трудомісткості операцій. Проаналізовано економічні показники роботи пасік до та після впровадження автоматизації. Розроблено рекомендації щодо оптимізації структури основного капіталу через впровадження цифрових технологій. Досліджено економічні аспекти DIY-рішень у бджільництві та їх роль у формуванні нової парадигми технологічного розвитку галузі. Запропоновано методологічні підходи до оцінки ефективності таких рішень.
Avanços na Recuperação das Coberturas Vacinais no Brasil: Estratégias e Desafios para 2025
Authors: Gatti Fernandes Eder , Percio Jadher , De Melo Araújo Ana Catarina , Ikeda do Carmo Greice Madeleine , Da Fonseca Victer Thayssa Neiva , Hott Carlos Edson , Noia Maciel Ethel Leonor , Trindade Lima Nísia Verônica
Published: December 2024

O editorial aborda os avanços recentes na recuperação das coberturas vacinais no Brasil, com foco nas estratégias implementadas entre 2023 e 2024 e nos desafios para 2025. Após um período de queda acentuada nas coberturas vacinais e o aumento da hesitação vacinal entre 2016 e 2022, o Movimento Nacional pela Vacinação e a adoção do microplanejamento impulsionaram uma retomada significativa. Em 2024, vacinas como a BCG e a tríplice viral alcançaram metas de cobertura superiores a 90%, enquanto outras registraram um aumento médio de 13% em relação a 2022.
Iniciativas como a vacinação em escolas, o Monitoramento da Estratégia de Vacinação (MEV) e a introdução da vacina tetravalente contra a dengue reforçaram o impacto das ações. Além disso, investimentos no Complexo Econômico-Industrial da Saúde e parcerias para o desenvolvimento de novas vacinas têm ampliado a capacidade de produção nacional, posicionando o Brasil como referência global em imunização. Apesar dos progressos, desafios como a adesão à vacina contra a COVID-19 e o combate à desinformação ainda persistem.
O texto conclui destacando as metas para 2025, incluindo a introdução de novas vacinas, o fortalecimento do combate à desinformação e a ampliação do acesso a imunobiológicos, com o objetivo de consolidar os avanços e garantir a saúde de toda a população.
China Total Energy Consumption Forecast with Optimized Continuous Conformable Fractional Grey Model
Authors: Bilgil Halis , Erdinç Ümmügülsüm
Published: December 2024

One of the methods used for forecasting of the time series is the fractional grey modeling approach. In this paper, the OCCFGM(1,1) model is utilized to forecasting of the total energy consumption data of China. The optimal values of $\alpha$ and $r$, which are fractional parameters in the model, are calculated using the Brute Force algorithm. Data collected from official sources from 2013 to 2022 are used to build the forecasting model, while data from 2013 to 2020 are employed to evaluate the accuracy at the model. The obtained results indicate that the OCCFGM(1,1) model exhibits superior forecasting performance compared to the other models under consideration.
Effects of Motor Vehicle Increase on Environmental Protection Expenditures and Traffic Safety: An Examination Using Grey Relational Analysis Method
Authors: Turhan Tunahan , Gazeloğlu Cengiz
Published: December 2024

Global environmental pollution is increasingly becoming one of today's most pressing issues, and the situation is becoming increasingly alarming day by day due to greenhouse gas emissions causing climate change. Industrialization and urban growth adversely affect the quality of air, water, and soil, reduce biological diversity, and endanger human health. In this regard, increasing and efficiently using environmental protection expenditures is a crucial criterion for reducing harmful emissions as well as achieving sustainable development goals. The increase in the number of motor vehicles has a significant impact on environmental protection expenditures. Exhaust gases from vehicles are one of the main causes of air pollution, which, especially in large cities, reduces air quality. Increasing air pollution causes health problems as well as environmental damage, forcing governments and local administrations to allocate more financial resources to improve air quality and reduce emissions. In this study, using data obtained from the Turkish Statistical Institute (TÜİK) for the period 2013-2022, grey relational grades of environmental protection expenditures, greenhouse gas emissions, and the number of road accidents according to the number of motor vehicles were calculated. When examining the grey relational grades, it was observed that the number of motor vehicles is approximately 78% related to environmental protection expenditures, about 95% related to greenhouse gas emissions, and about 98% related to the number of road accidents.
Equal Surplus Sharing in Grey Inventory Games
Authors: Dönmez Halil İbrahim , Olgun Mehmet Onur , Alparslan Gök Sırma Zeynep
Published: December 2024

This study introduces a model where inventory costs are represented as grey numbers, rather than traditional crisp or stochastic values. Utilizing grey calculus, we reinterpret game-theoretic solutions to address interval uncertainty within cooperative grey inventory games. Building on the works of van den Brink and Funaki (2009) and Olgun et al. (2017). We establish grey equal distribution rules for fair cost allocation.
We determine problem parameters to construct a grey inventory game, applying it to three shotgun companies in Turkey. The calculated grey inventory costs and different game-theoretic solutions are presented. This study extends solutions like the Banzhaf value, CIS-value, ENSC- value, and ED- solution by incorporating interval uncertainty.
Future research may explore extensions such as grey purchasing costs, stock out allowances, defective goods, and quantity discounts, enhancing the application of grey calculus in cooperative game theory and inventory management.
Analysis of the Computational Performance in Traveling Salesman Problem: An Application of the Grey Prediction Hybrid Black Hole Algorithm
Authors: Demiral Mehmet Fatih
Published: December 2024

Grey prediction evolution algorithm (GPEA) is a nature-inspired intelligent approach applied to global optimization and engineering problems in 2020. The performance of the GPEA is evaluated on benchmark functions, global optimization, and tested on six engineering-constrained design problems. The comparison shows the effectiveness and superiority of the GPEA. Although the pure GPEA is better than other algorithms in global optimization, and engineering problems, it shows poor performance in combinatorial optimization. In this work, GPEA hybridizes with the black hole algorithm and tabu search for the event horizon condition. Besides, the GPHBH is implemented with heuristics, such as 2-opt, 3-opt, and k-opt swap, and tries to improve with constructive heuristics, such as NN (nearest neighbor), and k-NN. All the algorithms have been tested under appropriate parameters in this work. The traveling salesman problem has been used as a benchmark problem so eight benchmark OR-Library datasets are experimented with. The experimental solutions are presented as best, average solutions, std. deviation and CPU time for all datasets. As a result, GPHBH and its derived forms give alternative and acceptable solutions to combinatorial optimization in admissible CPU time.
Forecasting the Population of Türkiye Using Grey Models
Authors: Ertilav Muhammet Mesut , Kılıç Muhammet Burak
Published: December 2024

Population forecasting plays a significant role in determining demography, economics, and agriculture policies for developing countries. In this study, we employ the five different grey prediction models to estimate the population of Türkiye until 2050 using the 2007 to 2022 address-based data. These models are given as the grey standard (GM (1,1)), grey time-varying dynamic (GM (1,1) t), grey Gompertz (GGM), grey Verhulst (GVM), and grey exponential (EXGM (1,1). The comparison of grey models is evaluated by mean absolute percentage error (MAPE), regression coefficient (R2), variance ratio (C), and probability of error (P). The GGM and GM (1,1) t are identified as the most suitable models for predicting the period 2007-2022. For the future population forecasts from 2023 to 2050, the five models are compared with the projection values of the Turkish Statistical Institute published in 2018. The GGM is determined to be the most compatible based on the MAPE value of 0.68116 and the C value of 0.05218, and the Grey Verhulst model is provided the most compatible R2 value of 0.99818. According to the GGM, the population of Türkiye is projected to reach 105,948,975 by 2050, 106,877,632 based on the GM (1,1) t, and 102,591,471 based on the GVM.
A New EPQ Model for Imperfect Production, Screening, and Rework With Backorders Under Grey Uncertainty
Authors: Eroğlu Abdullah , Aydemir Erdal
Published: December 2024

The occurrence of imperfect products that are studied at a specific rate during production holds a significant and comprehensive position in the literature. The fundamental premises underlying the research on the EOQ and EPQ models are as follows: there exists a specific percentage of imperfect production; that the defective rate of production is in line with a certain probability distribution; and that defective products are in themselves defective, repairable (rework), and defective (selling at a low price) etc. The studies of EPQ models that consider the inspection rate and production rate hold significant significance in the literature. This work presents the development of a novel EPQ model to handle the issue of reduced production time to eliminate backorders. The model's functioning is described by including uncertainty modeling, specifically using grey values to represent production rate, costs and prices.
Evaluating the Corporate Reputation of Public Hospitals with Emotion Analysis through Patient Comments: The Case of Antalya Atatürk State Hospital
Authors: Yiğit Açıkgöz Fatma
Published: December 2024

Reputation management, which is one of the application areas of public relations and constitutes an important part of strategic communication management, comes into play at the point where organisations implement differentiation strategies and achieve their goals. In this direction, strategic approaches supported by accurate data are critical to strengthening the overall reputation of organisations. In this study, it is aimed at analysing the corporate reputation of public hospitals through patient comments using sentiment analysis techniques. Antalya Atatürk State Hospital was selected as the sample for the study. Patient comments were obtained from feedback shared on public platforms about the hospital. Sentiment analysis is an effective method used to evaluate the perception of a brand, person, or institution among the public. In this context, a detailed analysis of the hospital's service quality, doctor-patient relations, hospital environment, and other important factors was made using sentiment analysis. As a result of the analysis, the main factors affecting patient satisfaction and the strengths and weaknesses of the hospital were revealed. It is thought that the findings of the study will provide important clues for the development of corporate reputation management strategies in public hospitals.
Resume Screening With Natural Language Processing (NLP)
Authors: Saatci Mehtap , Kaya Rukiye , Ünlü Ramazan
Published: December 2024

This study addresses the challenges employers face in screening the large number of resumes received for job positions. We aim to ensure fair evaluation of candidates, reduce bias, and increase the efficiency of the candidate evaluation process by automating the resume screening process. The proposed system uses NLP techniques to extract the relevant competencies from resumes, focusing on the key skills required for specific positions. The competency sets taken for the positions were used. A case study was conducted for 123 job positions. The extracted competencies are matched to predefined skill sets associated with various job positions using Jaccard Similarity. This method provides a similarity score that helps rank candidates by comparing the presence or absence of words in the candidate's resume to the required competencies. This NLP-based system offers significant benefits such as saving time and resources, increasing accuracy in candidate selection, and reducing bias by focusing only on competencies. The system's integration with LinkedIn increases its usefulness by allowing seamless import and analysis of resumes. Overall, this study demonstrates the transformative potential of NLP in optimizing the resume screening process by providing a scalable, efficient, and unbiased solution for large organizations.
SERS Characterization of Lysozyme Aptasensor Prepared for Latent Fingerprint Visualization on Surfaces
Authors: Saatoğlu Deniz , Isbır Turan Aybuke A. , Üstündağ Zafer , Çağlayan Mustafa Oğuzhan , Perçin Demirçelik Işık
Published: December 2024

Parmak izleri, suç mahalli soruşturmalarında kurbanları ve failleri tespit etmede önemli bir rol oynayan önemli kanıtlardır. Bu çalışma, potansiyel şüphelilerin güvenli bir şekilde tespitini iyileştirmek için nanopartiküller ve aptasensör tabanlı bir biyosensör kullanarak gizli parmak izlerinin görselleştirilmesini geliştirmeye odaklanmaktadır. Bu araştırmada, parmak izi görüntüleme için altın nanopartiküller (AuNP'ler) sentezlenerek ve 5,5'-Dithiobis-2-nitrobenzoik asit (DTNB) ve bir lizozim aptameri ile modifiye edilmiştir. Altın nanopartikül yüzeyi modifiye edildikten sonra, çözelti parmak izi içeren silikon yüzeylere uygulanmıştır. Parmak izlerindeki lizozim üzerindeki aptamer tabanlı Raman etiketinin immobilize edilmesinden sonra alınan SERS ölçümleri, 1337 cm⁻¹'de DTNB'deki nitro grubunun simetrik gerilmesine ait bir pik gözlemlenmiştir.
A mathematical model of dissolved oxygen transport during the thermal bar evolution
Authors:   Tomsk State University, Tsydenov Bair O.
Published: December 2024

The article describes а 2.5D non-hydrostatic model of dissolved oxygen transport in a freshwater lake. The oxygen dynamics are carried out through oxygen exchange with the atmosphere and physical transfer due to the effect of the thermal bar. An intraday change in wind speed (that influences the rate of oxygen transition from gas to liquid) is taken into account at the air-water interface. Space-time distributions of temperature and dissolved oxygen concentration were obtained during the spring thermal bar on an example of Barguzin Bay of Lake Baikal. The results of simulation showed that the vertical flows generated by the spring thermal bar contributed to an increase in dissolved oxygen content in the thermoactive region of the bay. Due to the action of the thermal bar, areas with different levels of oxygen are formed in the body of water. There is not only a quantitative but also a qualitative difference between the oxygen distributions obtained for the thermoactive and the thermoinert regions. It has been also found that the wind speed and the wind duration affect the oxygen saturation of water at the thermal bar. The results of this study confirm the barrier function of the thermal bar.
Prevalence and Risk Assessment of Obstructive Sleep Apnea in Myasthenia Gravis Patients Using the STOP-BANG Questionnaire
Authors: Kang Mi-Ri , Oh Seong-il , Ji Ki-Hwan
Published: December 2024

Myasthenia gravis (MG) is an autoimmune disorder leading to muscle weakness and fatigue, with limited research on its association with obstructive sleep apnea (OSA). This study evaluated the prevalence and risk of OSA in 72 Korean patients diagnosed with MG, utilizing the STOP-BANG questionnaire. Participants were categorized into low-risk and intermediate to high-risk groups. Additional evaluations included the Epworth Sleepiness Scale (ESS), Myasthenia Gravis Activities of Daily Living (MG-ADL), and the Revised Scale of 15-Item Myasthenia Gravis Quality of Life Scale (MG-QOL15r). The results indicated that 52 MG patients (79.2%) fell into the intermediate to high-risk category for OSA, with significantly higher ESS scores observed in this group compared to those at low risk (6.73±5.15 vs. 3.40±3.98, p=0.023). However, traditional OSA risk factors such as age, sex, and body mass index, as well as scores on MG-ADL and MG-QOL15r, did not show significant differences between groups. This study underscores a considerable prevalence of OSA risk among Korean patients with MG, with notable correlations between higher STOP-BANG scores and increased daytime sleepiness.
Reliability and Validity of the Korean Version of the Pain and Sleep Questionnaire and in Relation to Pain-Specific Sleep-Related Cognition
Authors: Hammoudi Sajida Fawaz , Chung Seockhoon
Published: December 2024

Background and Objective We investigated the reliability and validity of the Korean versions of the Pain and Sleep Questionnaire-5 (PSQ-5) and PSQ-3 among patients with chronic pain.Methods An anonymous online survey was conducted with chronic pain patients. Participants’ demographic information was collected, along with responses to rating scales including the PSQ-3 and PSQ-5, the Pain-related Beliefs and Attitudes about Sleep (PBAS) Scale, Dysfunctional Beliefs and Attitudes about Sleep-6 items (DBAS-6), Dysfunctional Beliefs about Sleep-2 items (DBS-2), the Insomnia Severity Index (ISI), pain severity measured using a numeric rating scale, and the discrepancy between desired time in bed and desired total sleep time (DBST index).Results Confirmatory factor analysis demonstrated good model fits for both PSQ-5 and PSQ-3. Both the PSQ-5 and PSQ-3 exhibited high reliability of internal consistency, with Cronbach’s alphas of 0.904 (PSQ-5) and 0.903 (PSQ-3), respectively. The PSQ-5 was significantly correlated with pain severity (r=0.58, p<0.001), PSQ-3 (r=0.96, p<0.001), PBAS (r=0.86, p<0.001), DBAS-6 (r=0.50, p<0.001), DBS-2 (r=0.42, p<0.001), and ISI (r=0.67, p<0.001). The PSQ-3 also demonstrated good convergent validity with these scales. Mediation analysis indicated that pain severity directly influenced both the PSQ-5 and PSQ-3 scores, with the PBAS mediating this association.Conclusions The Korean versions of the PSQ-3 and PSQ-5 are validated and reliable tools for evaluating sleep quality in patients with chronic pain.
Association Between Weight Loss and Changes in Optimal Positive Airway Pressure Levels in Patients With Obstructive Sleep Apnea
Authors: Choi Ji Ho , Lee Dong Yun , Ha Tae Kyoung , Moon Ji Eun
Published: December 2024

Background and Objective The relationship between weight loss and changes in optimal positive airway pressure (PAP) levels remains unclear. This study was designed to explore the association between weight loss and alterations in optimal PAP levels required to effectively manage obstructive sleep apnea (OSA).Methods Adult patients with OSA, who had undergone PAP therapy and achieved a significant weight loss of at least 5 kg, were included in the study. Data were retrospectively collected from their medical records, which included clinical information, findings from physical examinations, polysomnography results, and PAP usage data.Results Out of the initial cohort, 20 OSA patients (male:female=18:2), with an average age of 42.2±9.3 years and a body mass index of 34.2±5.1 kg/m2, were included in this analysis. Patients experiencing significant weight loss, from 100.6±15.6 to 86.5±12.9 kg (p<0.001), observed a considerable reduction in their optimal PAP levels from 12.0±1.6 to 9.9±1.2 cm H2O (p<0.001). Linear regression analysis revealed a correlation coefficient (r) of 0.428 with a p-value of 0.0596, where the regression equation was y (cm H2O)=0.820+0.093x (kg).Conclusions This study confirms that significant weight loss in OSA patients may reduce the required optimal PAP level for effective treatment. While this study has advanced our understanding of the impact of weight loss on OSA treatment, further research is needed to solidify these findings.
The Effect of Accelerated Transcranial Magnetic Stimulation on Insomnia Severity and Sleep Quality in Patients With Treatment-Resistant Depression
Authors: Uygur Hilal , Tekdemir Rukiye , Ertekin Hülya
Published: December 2024

Background and Objective Insomnia severity and poor sleep quality are linked with a poor response to depression treatments. Furthermore, they may heighten suicide risk, necessitating careful management and treatment of insomnia. This study explored how accelerated transcranial magnetic stimulation (aTMS) affects insomnia severity and sleep quality in patients with treatment-resistant depression (TRD).Methods This retrospective study included files from 28 patients with TRD who met specific inclusion and exclusion criteria. We assessed changes in insomnia severity and sleep quality by comparing scores before and after aTMS treatment. All patients underwent 50 sessions of intermittent theta burst stimulation over the left dorsolateral prefrontal cortex across 10 days.Results The mean age of the patients was 40.82±12.03 years. Before aTMS, the Insomnia Severity Index (ISI) score was 18.21±9.45, and the Pittsburgh Sleep Quality Index (PSQI) score was 12.85±4.75. After aTMS, ISI and PSQI scores improved to 5.75±6.70 and 6.75±5.01, respectively. The mean reductions in ISI and PSQI scores post-aTMS were 12.46 and 6.10, with Cohen’s effect sizes of 1.51 and 1.26, respectively. The sub-dimensions of subjective sleep quality and daytime dysfunction showed the most significant decreases, while sleep duration decreased the least. Improvements in all sleep parameters were statistically significant.Conclusions aTMS significantly alleviated insomnia severity and enhanced sleep quality in patients with TRD within just two weeks.
An Examination of the Effects of Information Technology Course on Computational Thinking Skills and Technology-Mediated Learning
Authors: Ozan Deniz Şenay , Akgün Fatma
Published: December 2024

The study aimed to determine the effect of the information technologies course on students' computational thinking skills and technology-mediated learning process. The study was conducted on 237 first-year students of the Faculty of Education who were enrolled in the information technology course, and a one-group pretest-posttest design was used. Dependent t-test, independent t-test, and correlation analysis were used to analyze the data. In the results obtained from the study, it was found that the information technologies course did not make a significant difference on the students' computational thinking skills, while it made a significant difference on the effect of technology-mediated learning on the learning process. When the effect of the information technologies course on computational thinking skills and technology-mediated learning process in terms of gender factor was considered as pre-test and post-test, there was a significant difference in favor of male students in terms of computational thinking skills and technology-mediated learning process within the scope of pre-test data, while there was no significant difference within the scope of post-test data. The study also showed that there was a positive and moderate relationship between students' computational thinking skills and their attitudes toward the technology-mediated learning process. In the context of this finding, it can be stated that technology-enhanced learning environments can have a positive effect on the development of computational thinking skills, and that lessons delivered in such learning environments can contribute to the development of students' creativity, algorithmic thinking, critical thinking, problem solving and collaborative working skills.
Teachers' Perception Scale Towards the Use of Artificial Intelligence Tools in Education
Authors: Işık Seher , Çakır Recep , Korkmaz Özgen
Published: December 2024

The aim of this study is to develop a scale to determine teachers' perceptions of the use of artificial intelligence tools in education. The universe of the study consists of teachers from different branches working in schools affiliated with the Ministry of National Education throughout Türkiyein the 2023-2024 academic year. The sample of the study consists of 530 volunteer teachers. Exploratory factor analysis was conducted to determine the construct validity of the scale with the collected data. Pearson r test was used for the validity of the scale, and in order to determine the discrimination of the items, the difference between the groups was examined by determining the 27% upper group and 27% lower group. In order to obtain reliability, internal consistency coefficients were calculated, and stability tests were conducted with the test-retest method. The scale consists of 3 factors and 37 items. The factors were named considering the item contents. The total Cronbach Alpha value of the factors in the scale was determined as 0.970 and the total Omega value as 0.971. The correlation obtained by the test-retest method varies between 0.660 and 0.509 of the factors. It was determined that the factors determined in the scale explained 64.295% of the total variance. In this study, the validity and reliability of the "Teachers' Perception Scale towards Use of Artificial Intelligence Tools in Education" was evaluated. The results of the research show that the scale is a valid and reliable measurement tool in determining teachers' perceptions about the use of artificial intelligence tools in education.
Advances in Artificial Intelligence in Education: Leading Contributors, Current Hot Topics, and Emerging Trends
Authors: Doğan Ezgi , Şahin Ferhan
Published: December 2024

Artificial Intelligence (AI) has emerged as a burgeoning field in education, characterized by rapid growth and diverse research interests. This study employs bibliometric analysis to explore the landscape of AI research in education, focusing on studies indexed in the Web of Science (WOS) database. A comprehensive search identified 1383 articles published between 1981 and 2024, which were analysed using the Bibliometrix R package. The analysis encompassed performance analysis, science mapping, and network analysis, yielding visualizations such as annual scientific production trends, most cited documents, and thematic maps. Key findings reveal a substantial increase in AI research from 2022 onwards, underscoring a shift towards longitudinal studies to track AI's evolution and impacts in educational contexts. Ethical considerations, data privacy, and societal implications emerged as critical areas requiring further investigation. While early studies focused on intelligent tutoring systems, contemporary research highlights topics like ChatGPT, machine learning, and higher education. The interdisciplinary nature of AI in education is evident through its publication in journals spanning educational technology and related fields. Future research directions emphasize the need for comprehensive studies addressing ethical frameworks and guidelines for responsible AI integration in education. Bridging technological advancements with pedagogical strategies is essential for developing integrative models that enhance personalized learning and educational outcomes. Ongoing bibliometric analyses will play a pivotal role in identifying emerging trends and guiding future research endeavours in AI and education.
Artificial Intelligence-Assisted Translation in Education: Academic Perspectives and Student Approaches
Authors: Özmat Demet , Akkoyunlu Buket
Published: December 2024

Although artificial intelligence is present in many areas of life, making life easier, it also necessitates the updating of certain professions or curriculum of university departments. In this regard, it is considered important to determine how AI-based translation tools will specifically affect translation studies and to gather the opinions of students and faculty members in these departments. This study aims to examine the opinions of Translation and Interpreting Department students and faculty members on the use of artificial intelligence in translation studies. The research was conducted with 7 faculty members, 1 translation expert, and 15 final-year students at a foundation university. Data were collected through semi-structured interview forms and evaluated using content analysis. Students expressed concerns that artificial intelligence will reduce job opportunities in the profession. They also believe that the use of AI weakens memory and leads to laziness. Some students have noted that AI undermines and weakens the teacher-student relationship. Faculty members, on the other hand, think that AI will redefine the translator’s roles in the profession and provide significant support. Whilst the students advocate for the inclusion of AI in post-graduate professional life rather than in undergraduate education and support it with extracurricular activities, the faculty members underline the need to increase the integration of AI into translation studies education, provide in-service training, and expedite curriculum development studies. These results highlight different perspectives on the use of artificial intelligence in the field of translation studies and suggest recommendations that could contribute to the curriculum of translation departments.
La ansiedad precompetitiva y el estado de ánimo postcompetitivo en jugadores y jugadoras de pádel
Authors: Rodríguez-Cayetano Alberto , Amondarain-González Igor , ´Pérez-Muñoz Salvador , Morales-Campo Paula Teresa
Published: December 2024

The main objective of this research was to analyse and compare the level of pre-competitive anxiety, post-competitive mood and the relationship between both constructs according to variables such as gender, age, competitive environment and performance in competitive padel players. The sample consisted of a total of 93 padel players with a mean age of 21.11 (± 7.910) years. For data collection, two measurement instruments were used: the pre-competition anxiety questionnaire (CSAI-2R) twenty-four hours in advance, prior to the competition, and the mood questionnaire (POMS) in its reduced version, in the fifteen minutes after the end of the match. The results showed that women showed less self-confidence compared to men. In terms of age, players aged 18-23 years showed a higher level of self-confidence and a lower level of somatic and cognitive anxiety than those aged 24 years and older. Significant differences were also observed between athletes competing at national level and those competing at international level, with the latter showing lower levels of fatigue and self-confidence than the former. Finally, in relation to the result obtained from the competition, the players who lost their match in three sets presented a greater state of anger and depression compared to those who were victorious, and, on the contrary, the latter acquired higher levels of vigour and friendliness. Therefore, coaches and trainers of players, of all ages and levels, must consider psychological training as a fundamental part of their training, promoting training tasks that help to improve the self-confidence of athletes and reduce anxiety levels.
Tissue clearing of mouse organs and zebrafish using CUBIC L / CUBIC HL and CUBIC RA reagents v1
Authors: Heusermann Wolf , Pohlmeyer Roland , Biehlmaier Oliver , V Avilov Sergiy
Published: December 2024

The present protocol describes optical tissue clearing of murine and zebrafish tissue with CUBIC L or CUBIC HL delipidation reagents and CUBIC RA refractive index matching reagent (developed by Tainaka et al., 2018), with adaptations and modifications. The present protocol does not describe tissue clearing with ScaleCUBIC-1 and ScaleCUBIC-2 reagents of the 1st version of the CUBIC method (Susaki, Etsuo A. et al., 2014). The present protocol covers the steps of solution preparation, tissue fixation, delipidation, refractive index matching, optional nuclear staining and embedding the samples in agarose for image acquisition on light sheet fluorescence microscope. Handling and manipulations with live animals as well as light sheet image acquisition and analysis are beyond the scope of the present protocol. The present protocol permits tissue clearing, decolorization and fluorescent taining of the nuclei of various murine tissues (brain, liver, kidney,intestine, thymus, lymph nodes and others) and whole body adult Danio rerio, thus making these samples suitable for 3D LSFM imaging, using fluorescent signals of fluorescent proteins (except samples treated with CUBIC HL reagent) and/or those of the nuclei stains (propidium iodide or SYBR Gold). Immunofluorescent staining, which can be combined with CUBIC tissue clearing (Tainaka et al., 2018), is not described in the present protocol.
La investigación sobre el Aprendizaje- Servicio a través de las tesis doctorales
Authors: Vila Merino Eduardo S. , Álvarez Jiménez Victoria E.
Published: December 2024

This article aims to delve into the research that has been carried out on service-learning in Spain from doctoral theses. To do this, after locating the state of the matter, a search has been carried out in the main database on doctoral theses (TESEO) from its appearance from 1976 to 2023, with the aim of viewing and analyzing the doctoral theses that have been published on this topic. have been carried out, investigating aspects such as their temporal distribution, the sex of the people who made them, the universities and departments, the educational level referred to in the doctoral thesis and the main themes. This analysis leads us to see the importance that research has acquired in this field of service-learning, especially in the university environment, as well as to identify the main lines of research that are being developed in this sense.
Educación Musical en 3D: la integración del sonido binaural y la realidad aumentada en el aula universitaria
Authors: Rodríguez López Rafael Ángel
Published: December 2024

The study addresses the integration of binaural sound and augmented reality (AR) in university music education, aiming to combine both technologies to create a three dimensional and immersive educational experience. Using an Action Research approach, the perceptions of 332 students were assessed regarding this proposal through pre-test and post-test questionnaires. Results revealed a low prior familiarity with these tools, but a high acceptance after the combined experience. Despite certain technological limitations, such as device incompatibility, the study concludes that the integration of binaural sound and augmented reality can be an innovative pedagogical resource in university music education.
Predicting the Factors Influencing Intention to Use e-Health Systems Towards Healthy Lifestyles in Nigeria Using Technology Acceptance and Information Systems Success Models
Authors:   Baze University Abuja, Nigeria, Anumudu Chinedu Eugenia , Olatokun Wole Michael ,   University of Ibadan, Nigeria, Obiefuna Boniface Anthony Chijioke ,   Nnamdi Azikiwe University, Nigeria
Published: December 2024

It is an irrefutable assertion that communication technologies play a significant role in sustaining healthy lifestyles. However, to achieve this goal, one needs to be literate on how to maximise communication tools for acquiring health information. This study, therefore, examined the predictors of healthy lifestyles in Nigeria by utilising Technology Acceptance Model (TAM) and Information System Success (ISS) tents. The quantitative method through a survey approach was employed for quantifying the data and for inferential requirements. The survey was administered to 375 undergraduate students at Baze University Abuja, Nigeria. The descriptive parts of the data were analysed via Statistical Package for Social Science (SPSS) while the relationships between variables and mediating mechanisms were analysed through Structural Equation Modeling (SEM). The findings disclosed that perceived usefulness, ease of use, and intentions to use e-health systems were important in shaping user attitudes toward using e-health systems for healthy lifestyles. The study also projected the value of information and service qualities in shaping user perceptions of e-health systems. Hence, the need to improve information and service qualities to enhance user perceptions of e-health systems is recommended. This study further identified factors that could instigate the utilisation of communication technologies for sustaining healthy lifestyles in emerging countries, specifically in the African continent.
Keywords: Communication technologies, information quality, healthy lifestyles, e-health systems, emerging countries.
Assessing Trends in Religious Moderation Campaigns to Counter Extremism Using Social Network Analysis (SNA)
Authors:   Institut Agama Islam Negeri (IAIN) Metro, Indonesia, Achfandhy Mochammad Irfan , Khoirurijal Khoirurijal ,   Institut Agama Islam Negeri (IAIN) Metro, Indonesia, Ariyanto Budi ,   Institut Agama Islam Negeri (IAIN) Metro, Indonesia
Published: December 2024

The religious moderation campaign, which is part of the 2019-2024 National Medium-Term Development Plan (RPJMN), is assed to have been unsuccessful in dominating the trend of public discussion on social media. This case is due to more than 62% of extreme religious narratives dominating public issues. The research aim is to investigate conversation trends and patterns in the religious moderation campaigns established on Twitter. This study employed Social Network Analysis (SNA) via Drone Emprit software as a research method. The data were collected through crawling techniques on Twitter for one year, from April 2022 to March 2023, with a total of 16,407 data. The results showed that the trend of religious moderation campaigns fluctuated wildly within one year. The social network patterns indicated that the campaigns for religious moderation were popularized by opinion leaders as influencers from netizens through tweets on Twitter which were then mentioned, revised, and retweeted. Opinion leaders associated it with issues of nationalism and politics as the driving force for religious moderation campaigns by optimizing hashtags. The novelty of the research is that influencer engagement with issues of nationalism and politics is one of the trends to encourage and increase the dominance of religious moderation campaigns on Twitter. The research results contribute as recommendations for governments, religious actors/organizations, and stakeholders to optimize the utilization of social media in counteracting extremism.
Keywords: Religious moderation, extremism, trends, Social Network Analysis (SNA), Twitter.