bluuebunny/crossref_metadata_2025 huggingface dataset:
On the use of modern digital technologies in teaching a foreign language at a university
Authors: Vasbieva D. G.
Published: July 2023

This paper examines the problem of using modern digital technologies in the process of teaching a foreign language in the academic learning environment. The study aims to identify the educational potential of digital tools such as training video, digital class, electronic simulators and digital applications in the foreign language learning environment at a non-linguistic university and develop methodological recommendations for using them in the learning process. The paper substantiates the relevance of using digital technologies in the education system, provides a review of digital tools for the foreign language classroom, tested in the learning process, as well as the description of their didactic and methodological potential for the increased efficiency of teaching a foreign language. The findings of the study contain methodological recommendations for integrating digital technologies into the foreign language learning environment for organizing classroom work and students’ selfstudy at a university.
About psychological features of the modernization of the process of teaching foreign languages in non-linguistic universities
Authors: Gaissina O. S. , Kalmykova I. I.
Published: July 2023

The article is devoted to the consideration of approaches confirmed by didactic practice to the choice of optimal ways of resolving the psychological problems of students studying a foreign language in non-linguistic universities in conditions of maximum limitation of personal contacts with teachers. It shows the possibility of taking into account the personal characteristics of students in the implementation of information technology in the learning process. The factors that determine the psychological characteristics of students, as well as the features of their internal and external motivation for learning a foreign language, are analyzed. On the basis of teaching experience, ways to ensure a responsible attitude of students to their duties and the causes of negative behavioral situations are proposed. The conclusion is made about the importance of observing the laws of psychology and individual approach when choosing methods to stimulate the work of students with the help of current academic assessments.
Synchronous and asynchronous online teaching of a foreign language
Authors: Esina L. S.
Published: July 2023

The article evaluates the influence of synchronous and asynchronous types of learning in the online environment on mastering a foreign language. The field of online learning provides a flexible and efficient learning environment that makes it easy for students to form, explore and learn information. The author considers the characteristic features of synchronous and asynchronous types of learning, as well as their joint, so-called hybrid use in the educational process. The hybrid online environment combines synchronous learning with an asynchronous set of electronic activities, as it combines simultaneity and non-simultaneity. The article provides examples of the practical use of these types of training in educational activities. The author concludes that the combination of synchronous and asynchronous foreign language teaching creates an ideal environment for electronic language learning and increases the effectiveness of foreign language learning.
To the issue of optimizing professional pedagogical communication (guest lecturers as a case)
Authors: Zvyagintseva E. P.
Published: July 2023

The article concerns some specific features in the organisation of foreign language training for bachelors at non-linguistic higher school. Such organization includes classes involving experts from the real economy. There are advantages and disadvantages of such training interaction, which have been obtained in practice. Based on the analysis of methodological literature and empirical research, the following conclusion is made: interaction between students and external speakers during practical foreign language classes both motivates learning the language of specialization and expand the range of useful links. Moreover, it can improve bachelors’ meta-skills: presentation, analytical, auditory. Recommendations for creating more successful forms of professional pedagogical communication, including a triad of stakeholders (a guest lecturer, an academic and learners) are proposed.
EP classroom evaluation practices in higher educational institutions
Authors: Kondrakhina N. G. , Petrova O. N.
Published: July 2023

The paper approaches the issue of foreign language teachers’ classroom evaluation activity also known as formative assessment. The authors review the distinctions between conventional and formative assessment techniques and prove that formative assessment has certain advantages. It can be successfully used to evaluate the current students’ progress long before examination and to take timely organizational and methodological corrective actions. Such type of assessment is student-centric, provides an individual approach to training, produces a positive effect on classroom environment, specifically teacher-student relationship. Consequently it enhances the students’ motivation to ESP learning and benefits learning outcome. The article provides certain examples of ESP classroom evaluation practices and recommendations on using them.
A navigating the challenges of instructor-student communication in blended learning: a guide to the best strategies
Authors: Krasnova T. I.
Published: July 2023

The aim of this study was to identify the most effective strategies for building communication between teachers and students in a blended learning environment, using foreign language teaching as an example. To achieve this goal, interviews with teachers were used, followed by data collection on their communication strategies and their understanding of the effectiveness of these strategies. The successful establishment of full mutual understanding in blended learning requires close attention to the factors such as instructor and social environment presence, clear communication guidelines, effective feedback and cultural understanding. The findings of this study can serve as a guideline for the best strategies for effective instructor-student communication in blended learning and for addressing the challenges of building rapport with students in this context. The significance of this study is that it can inform pedagogical practice in foreign language teaching.
МАЛЬФОРМАЦИЯ КИАРИ. КРАТКИЙ ОБЗОР ПАТОЛОГИИ И ИСТОРИЯ ОТКРЫТИЯ
Authors: Etibarlı S.A.  , Najafbayli N.V.
Published: July 2023

Мальформация Киари относится к врожденным аномалиям заднего мозга и характеризуется опущением миндалин мозжечка в большое затылочное отверстие со сдавлением продолговатого мозга и развитием соответствующей неврологическойсимптоматики. Вся концепция этих пороков развития возникла к концу 19го века из первоначальных описаний немецкого патологоанатома профессора Ганса Киари (1851–1916), который описывал изменения в мозжечке, возникающих в результате церебральной гидроцефалии. Он также классифицировал мальформации АрнольдаКиари на 4 типа. Целью данной работы является изучение литературы и обсуждение анатомических форм, классификации и истории открытия мальформации Киари.
KƏLLƏDAXİLİ QEYRİTRAVMATİK QANSIZMALARDA NEONATAL ÖLÜM VƏ ONUN PREDİKTORLARI
Authors: Mursalova U.G  , Mammadbayli A.K.  , Guluzade Sh.N.
Published: July 2023

Tədqiqatın məqsədi kəllədaxili qeyritravmatik qansızmalar fonunda letallığın səviyyəsini və prediktorlarını müəyyən etmək olmuşdur. Tədqiqatın material və metodları. Hərtərəfli nevroloji və neyrosonoqrafik müayinə 996 yeni doğulmuş uşağı əhatə etmişdir. Kəllədaxili qeyritravmatik qanaxma diaqnozu təsdiqlənmiş uşaqlar reanimasiya şöbəsinə yerləşdirilib və milli klinik protokola uyğun müalicə olunmuşlar. Nəticələr. Neonatal ölüm hallarının statistik əhəmiyyətli artımı ilə əlaqəli olan prediktorları göstərilmişdir. Yekun. Perinatal Mərkəzdə kəllədaxili qeyritravmatikqansızmalardan əziyyət çəkən uşaqların ölüm göstəricisi 30,7±3,7% təşkil etmişdir. Kəllədaxili qeyritravmatik qansızmalarda letallıq çoxdöllü hamiləliklərdə doğulanlarda,hestasiya yaşının <32 həftə olanlarda, doğulanda durumu Apqar şkalası ilə 3 və az bal olanlarda, bədən kütləsi <1500 qram olanlarda, III və IV dərəcəli qansızmalarda izafi yüksəkdir.
НЕЙРОПСИХОЛОГИЧЕСКИЕ И ДИФФЕРЕНЦИАЛЬНО ДИАГНОСТИЧЕСКИЕ ОСОБЕННОСТИ У БОЛЬНЫХ С ПРИОБРЕТЕННОЙ НЕВИЛЬСОНОВСКОЙ ДЕГЕНЕРАЦИЕЙ НА ФОНЕ ЦИРРОЗА ПЕЧЕНИ
Authors: Khanova M.N.  , Madjidova Ya.N.
Published: July 2023

Приобретенная невильсоновская гепатоцеребральная дегенерация (ПНГЦД) является редкой патологией, которая развивается на фоне цирроза печени. По этой причине многие аспекты данного заболевания, в том числе, характер нейропсихологических нарушений, который имеет разнообразную клиническую картину хорошо не изучены. Целью данного исследования является описание нейропсихологических симптомов у пациентов с ПНГЦД на фоне цирроза печени.
WHICH SERVICES CAN BE PROVIDED BY CONSULTING SERVICES AGENCIES FOR MEDICAL ORGANIZATIONS (HOSPITALS) IN AZERBAIJAN?
Authors: Aliyev R.R.  , Abbaszada F.Kh.
Published: July 2023

The aim of the presented study was evaluating the probobility of services that can be provided by consulting services agencies for medical organizations (Hospitals) in Azerbaijan. By the authors 43 private and public hospitals functining in Azerbaijan were surveyed. The results show that there is a need for specific services to be provided by consulting firms, as promoting marketing, corporate ethics/training, healthcare analytics/data analysis and patent portal.
KRABBE LİZOSOM MÜBADİLƏ XƏSTƏLİYİNİN GENETİK TƏDQİQİ
Authors: Latifova G.B.  , Mammadbayli A.K.  , Rasulov E.M.
Published: July 2023

Lizosom mübadilə xəstəliyindən şübhəli iki eyni yumurta ekizi qızların qanından istifadə edilmişdir. Diaqnostik məqsədlə yeni nəsil sekvenləşdirmə - NGS metodundan və diaqnostik amplikon panelindən isrifadə edilmişdir. Diaqnostik panel: Krabbe xəstəliyini, mukopolisaxaridoz II tip (Xanter xəstəliyi), Niemann-Pick xəstəliyini, mukopolisaxaridoz IV Tip (Morkio xəstəliyi), Fabri xəstəliyini, çoxsaylı sulfataza defisitini, Qoşe xəstəliyini, qanqliozidazanı, mukopolisaxaridoz 1 Tip (Qurler xəstəliyini), mukopolisazaridoz VII Tip (Leya xəstəliyi), və yuvenil Parkinson xəstəliyini təmsil edir. Müayinə olunanların GALC geninin molekulyar analizi genin 15-ci intronun c.1834 hissəsində GTCAG nukleotid fraqmentinin digər AGTCAC nukleotid fraqmentilə əvəzi identifikasiya edilmişdir (c.1834 GTCAG>AGTCAC). Dünya ədəbiyyatında bu mutasiya haqda məlumat yoxdur. GALC geninin bu mutasiyası ilk dəfədir ki, azərbaycanlı uşaqlarda təsadüf edilmişdir.
An Optimized Machine Learning and Deep Learning Framework for Facial and Masked Facial Recognition
Authors: Thanathamathee Putthiporn , Sawangarreerak Siriporn , Kongkla Prateep , Mohd Nizam Dinna Nina
Published: July 2023

In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. Prior studies only used a single machine learning model for classification and did not report optimal parameter values. In contrast, we utilized a grid search with hyperparameter tuning and nested cross-validation to achieve better results during the verification phase. We performed experiments on a large dataset of facial images with and without masks. Our findings showed that the SVM model with hyperparameter tuning had the highest accuracy compared to other models, achieving a recognition accuracy of 0.99912. The precision values for recognition without masks and with masks were 0.99925 and 0.98417, respectively. We tested our approach in real-life scenarios and found that it accurately identified masked individuals through facial recognition. Furthermore, our study stands out from others as it incorporates hyperparameter tuning and nested cross-validation during the verification phase to enhance the model's performance, generalization, and robustness while optimizing data utilization. Our optimized approach has potential implications for improving security systems in various domains, including public safety and healthcare.
Multi-Fusion algorithms for Detecting Land Surface Pattern Changes Using Multi-High Spatial Resolution Images and Remote Sensing Analysis
Authors: Dibs Hayder , Sabah Jaber Hussein , Al-Ansari Nadhir
Published: July 2023

Producing accurate Land-Use and Land-Cover (LU/LC) maps using low-spatial-resolution images is a difficult task. Pan-sharpening is crucial for estimating LU/LC patterns. This study aimed to identify the most precise procedure for estimating LU/LC by adopting two fusion approaches, namely Color Normalized Brovey (BM) and Gram-Schmidt Spectral Sharpening (GS), on high-spatial-resolution Multi-sensor and Multi-spectral images, such as (1) the Unmanned Aerial Vehicle (UAV) system, (2) the WorldView-2 satellite system, and (3) low-spatial-resolution images like the Sentinel-2 satellite, to generate six levels of fused images with the three original multi-spectral images. The Maximum Likelihood method (ML) was used for classifying all nine images. A confusion matrix was used to evaluate the accuracy of each single classified image. The obtained results were statistically compared to determine the most reliable, accurate, and appropriate LU/LC map and procedure. It was found that applying GS to the fused image, which integrated WorldView-2 and Sentinel-2 satellite images and was classified by the ML method, produced the most accurate results. This procedure has an overall accuracy of 88.47% and a kappa coefficient of 0.85. However, the overall accuracies of the three classified multispectral images range between 86.84% to 76.49%. Furthermore, the accuracy assessment of the fused images by the Brovey method and the rest of the GS method and classified by the ML method ranges between 85.75% to 76.68%. This proposed procedure shows a lot of promise in the academic sphere for mapping LU/LC. Previous researchers have mostly used satellite images or datasets with similar spatial and spectral resolution, at least for tropical areas like the study area of this research, to detect land surface patterns. However, no one has previously investigated and examined the use and application of different datasets that have different spectral and spatial resolutions and their accuracy for mapping LU/LC. This study has successfully adopted different datasets provided by different sensors with varying spectral and spatial levels to investigate this. Doi: 10.28991/ESJ-2023-07-04-013 Full Text: PDF
On the Locating Rainbow Connection Number of Trees and Regular Bipartite Graphs
Authors: Bustan Ariestha W. , Salman A. N. M. , Putri Pritta E. , Awanis Zata Y.
Published: July 2023

Locating the rainbow connection number of graphs is a new mathematical concept that combines the concepts of the rainbow vertex coloring and the partition dimension. In this research, we determine the lower and upper bounds of the locating rainbow connection number of a graph and provide the characterization of graphs with the locating rainbow connection number equal to its upper and lower bounds to restrict the upper and lower bounds of the locating rainbow connection number of a graph. We also found the locating rainbow connection number of trees and regular bipartite graphs. The method used in this study is a deductive method that begins with a literature study related to relevant previous research concepts and results, making hypotheses, conducting proofs, and drawing conclusions. This research concludes that only path graphs with orders 2, 3, 4, and complete graphs have a locating rainbow connection number equal to 2 and the order of graph G, respectively. We also showed that the locating rainbow connection number of bipartite regular graphs is in the range of r-⌊n/4⌋+2 to n/2+1, and the locating rainbow connection number of a tree is determined based on the maximum number of pendants or the maximum number of internal vertices. Doi: 10.28991/ESJ-2023-07-04-016 Full Text: PDF
A Binary Survivability Prediction Classification Model towards Understanding of Osteosarcoma Prognosis
Authors: Muthaiyah Saravanan , Singh Vivek Ajit , Zaw Thein Oak Kyaw , Anbananthen Kalaiarasi S. M. , Park Byeonghwa , Kim Myung Joon
Published: July 2023

The objective of this study is to explore effective and innovative machine learning techniques that can assist medical professionals in developing more accurate prognoses that can enhance the survivability of osteosarcoma patients by investigating potential prognostic factors and identifying novel therapeutic approaches. A comprehensive analysis was conducted using a dataset of 128 osteosarcoma patients between 1997 to 2011. The dataset included 52 attributes in total that covered a wide range of demographics, together with information on clinical records, treatment protocols, and survival outcomes. Data was obtained from NOCERAL (National Orthopaedic Centre of Excellence in Research and Learning), Kuala Lumpur. Three distinct binary classification methods (i.e., random forest, support vector machine (SVM), and artificial neural network (ANN)) were employed to identify the prognostic factors that are associated with improved survival efficacy measures. The results of this study revealed that both SVM and ANN outperformed random forests in predicting survivability for both the 2-year and 5-year time frames. These findings indicate the potential of SVM and ANN as effective tools for predicting osteosarcoma survivability. The study signifies a significant step towards integrating machine learning techniques into the existing toolkit available to medical practitioners. This study contributes to the medical field by providing a comparative analysis of three prominent machine learning techniques for predicting osteosarcoma survivability. The superior performance of SVM and ANN over random forests highlights the potential of these methods in generating more accurate survivability predictions. Further development and refinement of these machine learning techniques hold promise for enhancing their effectiveness and instilling greater confidence among medical professionals and patients in the predictive capabilities of machine learning and artificial intelligence models for osteosarcoma survivability. Doi: 10.28991/ESJ-2023-07-04-018 Full Text: PDF
Forecasting Solar Power Generation Utilizing Machine Learning Models in Lubbock
Authors: Balal Afshin , Pakzad Jafarabadi Yaser , Demir Ayda , Igene Morris , Giesselmann Michael , Bayne Stephen
Published: July 2023

Solar energy is a widely accessible, clean, and sustainable energy source. Solar power harvesting in order to generate electricity on smart grids is essential in light of the present global energy crisis. However, the highly variable nature of solar radiation poses unique challenges for accurately predicting solar photovoltaic (PV) power generation. Factors such as cloud cover, atmospheric conditions, and seasonal variations significantly impact the amount of solar energy available for conversion into electricity. Therefore, it is essential to precisely estimate the output of solar power in order to assess the potential of smart grids. This paper presents a study that utilizes various machine learning models to predict solar photovoltaic (PV) power generation in Lubbock, Texas. Mean Squared Error (MSE) and R² metrics are utilized to demonstrate the performance of each model. The results show that the Random Forest Regression (RFR) and Long Short-Term Memory (LSTM) models outperformed the other models, with a MSE of 2.06% and 2.23% and R² values of 0.977 and 0.975, respectively. In addition, RFR and LSTM demonstrate their capability to capture the intricate patterns and complex relationships inherent in solar power generation data. The developed machine learning models can aid solar PV investors in streamlining their processes and improving their planning for the production of solar energy. Doi: 10.28991/ESJ-2023-07-04-02 Full Text: PDF
Advanced Genetic Programming vs. State-of-the-Art AutoML in Imbalanced Binary Classification
Authors: Frank Franz , Bacao Fernando
Published: July 2023

The objective of this article is to provide a comparative analysis of two novel genetic programming (GP) techniques, differentiable Cartesian genetic programming for artificial neural networks (DCGPANN) and geometric semantic genetic programming (GSGP), with state-of-the-art automated machine learning (AutoML) tools, namely Auto-Keras, Auto-PyTorch and Auto-Sklearn. While all these techniques are compared to several baseline algorithms upon their introduction, research still lacks direct comparisons between them, especially of the GP approaches with state-of-the-art AutoML. This study intends to fill this gap in order to analyze the true potential of GP for AutoML. The performances of the different tools are assessed by applying them to 20 benchmark datasets of the imbalanced binary classification field, thus an area that is a frequent and challenging problem. The tools are compared across the four categories average performance, maximum performance, standard deviation within performance, and generalization ability, whereby the metrics F1-score, G-mean, and AUC are used for evaluation. The analysis finds that the GP techniques, while unable to completely outperform state-of-the-art AutoML, are indeed already a very competitive alternative. Therefore, these advanced GP tools prove that they are able to provide a new and promising approach for practitioners developing machine learning (ML) models. Doi: 10.28991/ESJ-2023-07-04-021 Full Text: PDF
The Effect of Sodium Humate Feed Additives in Diets for Holstein Breed Heifers
Authors: Kairiša Daina , Valdovska Anda , Vircava Ilze , Pilvere Irina , Proskina Liga , Gāliņa Daiga , Gutmanis Guntis , Mešķis Sandijs
Published: July 2023

The research aim is to examine the possibilities of including the sodium humate (NaHum) additive derived from freshwater sapropel in feed to identify its effects on growth performance, promote haematopoiesis, and modulate the microbiota of the intestinal tract. The research was done under production conditions, complying with Latvian and European Union legislation on the keeping, feeding, and welfare of farm animals. The research had three replications, and for each of them, two groups of Holstein breeding heifers were established: control (3xn=7) and research (3xn=7). The duration of each replication was 9 days in the adaptation period and 105 days in the research period. The heifers of the research group received the NaHum solution additive with feed from the 1st to 35th day (stage 1) at an intake rate of 0.4 mL/kg of live weight, from the 36th to 70th day (stage 2) at an intake rate of 0.5 mL/kg of live weight, and from the 71st to 105th day (stage 3) at an intake rate of 0.6 mL/kg of live weight. The breeding heifers of the research group, receiving NaHum at an intake rate of 0.6 mL/kg of live weight, achieved a significantly higher live weight gain at stage 3 and an overall numerically higher live weight gain (by 4.8 kg) than the control group during the research period. Consequently, a significantly higher relative growth ratio (0.334) was found in the research group at stage 3, which was 0.028 higher than that in the control group. The Lactobacillus spp. count in faecal samples was steady at the end of the research; a significant difference was found between groups, with the average ranging between 6.95 (control group) and 8.49 log CFU/g (research (NaHum) group). The novelty of the research is that it was scientifically proven that feeding the NaHum additive derived from freshwater lake sapropel to the breeding Holstein heifers up to 5 months of age increased their feed intake and live weight gain, as well as activity and health. Doi: 10.28991/ESJ-2023-07-04-023 Full Text: PDF
The Impact of the COVID-19 Epidemic on Gambling Behavior Intention: The Moderating Effect of Anti-Epidemic Measure
Authors: Zhou Jinquan , He Wenjin , Mieiro Susana M. B.
Published: July 2023

This study focuses on how the COVID-19 epidemic affects gambling motivation and behavior. This research also analyzes the behavioral intervention effects of the anti-epidemic measures on the COVID-19 epidemic and the relationship between the epidemic impact and gambling motivation and behavior. To investigate these connections, this research used Structural Equation Modeling to analyze 334 valid questionnaires collected during COVID-19 from gamblers from mainland China who visited the Macao Special Administrative Region. The results showed that the epidemic impact negatively affected gambling motivation and behavior, and gambling motivation partially mediated the relationship between epidemic impact and gambling behavior. Anti-epidemic measures positively moderated the epidemic’s impact on gambling motivation and behavior. This paper offers a theoretical contribution by proving the influence of the social environment on human motivational behavior, especially the effect of the COVID-19 crisis, and the support of government and enterprise anti-epidemic measures for behavior intervention theory. The practicality of this study consists of behavioral interventions from anti-epidemic efforts by regional government and industry to cope with the epidemic. These measures should influence the gamblers’ behavior intentions by considering the health and safety strategies that may reduce the impact of the COVID-19 epidemic on mainland Chinese gamblers. Doi: 10.28991/ESJ-2023-07-04-024 Full Text: PDF
Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation
Authors: Cornejo Jose , Barrera S. , Herrera Ruiz C. A. , Gutierrez F. , Casasnovas M. O. , Kot Leonardo , Solis M. A. , Larenas R. , Castro-Nieny F. , Arbulú Saavedra M. R. , Rodríguez Serrezuela R. , Muñoz Londoño Y. , Serna Alejandro , Ortega-Aranda D. , Aranda-Miramontes S. , Chang I. , Cardona M. , Carrasquilla-Batista A. , Palomares R. , Rodriguez R. , Parisuaña Ruben , Bórquez Miguel , Navarro Oscar , Sanchez Fernando , Bonev I. A. , Coulombe Jonathan , Martín Rico F. , Treviño-Elizondo B. L. , García-Reyes H. , Sollazzo A. , Dubor A. , Markopoulou A. , De Marinis C. , Chacin Marco , Mora Andres , Pérez-Ruiz M. , Ribeiro A. , L'Huillier E. A.
Published: July 2023

Mechatronics and Robotics (MaR) have recently gained importance in product development and manufacturing settings and applications. Therefore, the Center for Space Emerging Technologies (C-SET) has managed an international multi-disciplinary study to present, historically, the first Latin American general review of industrial, collaborative, and mobile robotics, with the support of North American and European researchers and institutions. The methodology is developed by considering literature extracted from Scopus, Web of Science, and Aerospace Research Central and adding reports written by companies and government organizations. This describes the state-of-the-art of MaR until the year 2023 in the 3 Sub-Regions: North America, Central America, and South America, having achieved important results related to the academy, industry, government, and entrepreneurship; thus, the statistics shown in this manuscript are unique. Also, this article explores the potential for further work and advantages described by robotic companies such as ABB, KUKA, and Mecademic and the use of the Robot Operating System (ROS) in order to promote research, development, and innovation. In addition, the integration with industry 4.0 and digital manufacturing, architecture and construction, aerospace, smart agriculture, artificial intelligence, and computational social science (human-robot interaction) is analyzed to show the promising features of these growing tech areas, considering the improvements to increase production, manufacturing, and education in the Region. Finally, regarding the information presented, Latin America is considered an important location for investments to increase production and product development, taking into account the further proposal for the creation of the LATAM Consortium for Advanced Robotics and Mechatronics, which could support and work on roboethics and education/R+D+I law and regulations in the Region. Doi: 10.28991/ESJ-2023-07-04-025 Full Text: PDF
Desktop vs. Headset: A Comparative Study of User Experience and Engagement for Flexibility Exercise in Virtual Reality
Authors: Thamrongrat Pornpon , Khundam Chaowanan , Pakdeebun Pornpitak , Mohd Nizam Dinna Nina
Published: July 2023

This study aimed to investigate the effectiveness of Virtual Reality (VR) technology for flexibility exercise and compare the physical outcomes, user experience, and engagement of VR desktops and VR headsets. The VR exercise application was designed using motion capture technology and exported to different VR devices. Each of the devices was used by 30 participants to perform a flexibility exercise in VR. Physical outcomes were measured using the sit-and-reach test, and user experience and engagement were evaluated using questionnaires and group discussions. The results showed that VR desktop participants had higher sit-and-reach scores. However, VR headset participants reported a more immersive experience (reality judgment) and motivation (value and usefulness). They also had higher engagement (focused attention and reward) levels than VR desktop participants. There were no significant differences between the two approaches in terms of enjoyment, effort, pressure, choice, correspondence, absorption, perceived usability, and aesthetic appeal. The study highlights the importance of considering physical outcomes, user experience, and engagement by comparing two different VR approaches for flexibility exercise. Further research is needed to explore the limitations and potential benefits of VR technology for physical activity. Doi: 10.28991/ESJ-2023-07-04-03 Full Text: PDF
Impact of Continuing Education on Employee Productivity and Financial Performance of Banks
Authors: Hajdari Muhamet , Qerimi Fidan , Qerimi Arbëresha
Published: July 2023

Objectives: This research aims to measure the impact of continuing education on employee productivity and that of the latter on the financial performance of commercial banks in Kosovo. Methods: A quantitative approach was employed to achieve the research objectives and questions. The statistical population comprised 3636 employees working at commercial banks operating in Kosovo. We obtained data from the Central Bank of Kosovo (CBK). A sample of 360 employees was then determined using Slovin's formula to include the representative sample. Findings: The Ordinary Least-Squares (OLS) model demonstrated that continuing education affects employee productivity, and the latter affects the financial performance of commercial banks in Kosovo. The findings indicated that 40.2% of employee productivity is explained by continuing education, while 20.4% of financial performance is explained by employee productivity. Novelty/improvement:This research showed that commercial banks could receive feedback on the importance of employees’ continuing education in increasing their productivity and, subsequently, the bank's financial performance. This can improve effectiveness and productivity at work and the organization's financial results, especially cost optimization and income generation. Doi: 10.28991/ESJ-2023-07-04-09 Full Text: PDF
Hüseyin Cöntürk’ün eleştirmen kişiliğinin “Divan Şiiri Üstüne Denemeleri” kitabına yansımaları
Authors: İLTER Gürkan , GEZER Beybün
Published: July 2023

Türk Edebiyatı’nın nesnel bir eleştirel düzlemde yeniden ele alınmasını ve bir bütünleştirme anlayışı içerisinde kurallaştırılmasının yolunu açan Cöntürk, öznel eleştiriye karşı nesnel eleştiriyi savunan İngiliz-Amerika Yeni Eleştiri okulunun eleştiri yöntemini kendi yöntemleriyle edebiyatımıza harmanlayarak Türk eleştiri anlayışına yeni bir soluk getirmiştir. Ancak bugün Cöntürk’ün adına edebiyat eleştirisi alanında sıkça rastlanmamasının nedeni Türk Edebiyatı’ndaki öznel eleştiri anlayışının çoğu otoritelerce kabul edilmesi, nesnel eleştirinin mümkün olmadığı tezinin savunulması ve iyi eser anlayışında şair ya da içinde bulunulan dönemin etkisinin göz ardı edilemeyeceği kanısının çoğu kesimlerce kabul edilmiş olmasıdır. Ölümünden sonra edebiyat yazıları Ege Berensel tarafından derlenerek 2 cilt halinde “Hüseyin Cöntürk: “Çağının Eleştirisi” adıyla 2006 yılında, Divan Edebiyatı çalışmaları Haluk Aker tarafından “ Divan Şiiri Üstüne Denemeler” adıyla 2013 yılında ve yine eleştiri ve eleştiri kuramı ile ilgili yazıları ise Eren Barış tarafından “Eleştirmenin Arzusu Hüseyin Cöntürk’ten Haluk Aker’e Mektuplar” adıyla 2015 yılında yayımlanmıştır. Bu makalede Hüseyin Cöntürk’ün gerek ismiyle gerekse şair veya dönemin eserler üzerindeki etkisiyle çoğu eleştiriye konu olan Divan Edebiyatı’na Yeni Eleştiri çerçevesini yani metinsel eleştiri yaklaşımını ve bu yaklaşımıyla diğer eleştirmenlerden farkı ortaya çıkarılmaya çalışılacaktır.
L'Homme Isolé : Déconstruction de l'Identité Masculine dans «Extension du Domaine de la Lutte» de Michel Houellebecq
Authors: ŞİMŞEK Beren
Published: July 2023

"Extension du domaine de la lutte" de Michel Houellebecq présente une exploration nuancée de la masculinité, par le biais du narrateur anonyme, un homme qui lutte pour trouver un sens dans la société française de la fin du XXe siècle. En utilisant le narrateur comme lentille, le roman démontre comment l'image idéalisée de la masculinité, alimentée par le consumérisme et les attentes sociales, peut conduire à l'aliénation et à la désolation. Les expériences du narrateur reflètent la façon dont ces pressions peuvent engendrer un sentiment de vide, dépeignant la lutte individuelle dans un contexte plus large d'érosion des valeurs traditionnelles. En utilisant les théories de Connell, Houellebecq présente une masculinité hégémonique inatteignable, plaçant son protagoniste dans une position de masculinité subordonnée. L'échec du narrateur à se conformer à cette masculinité idéalisée est présenté comme une source de détresse et de désespoir, illustrant ainsi le coût personnel de la lutte pour la masculinité. Parallèlement, la critique de la société de consommation, fortement influencée par Bourdieu, souligne l'impact du consumérisme sur les individus et leurs relations. La quête constante de biens matériels, de succès et de reconnaissance façonne la perception de la masculinité du narrateur, créant un sentiment d'insatisfaction chronique. Cet article vise à décrire le récit et son lien avec le concept général de masculinités dans l'approche sociologique de la structure théorique des livres de R.W. Connell "Masculinities" et "Gender" et le consumérisme social dans les théories de Bourdieu.
A Life in Exile: An Analysis of the Uncanny and National Identity in Yaşar Kemal’s Look, the Euphrates River is Flowing Blood
Authors: GÜNAYDIN ALBAY Neslihan
Published: July 2023

Having a preliminary place and paramount significance among Yaşar Kemal’s historical fiction novels, Look, the Euphrates River is Flowing Blood is the first book of his quartet entitled “An Island Tale” that was published in 1997. Dealing with the ordeal and uncanny feelings of the Anatolian people after the First World War, Yaşar Kemal recounts the material and spiritual destruction caused by the phenomenon of migration both within and beyond the borders in this work. As a result of the Exchange Agreement signed between Turkey and Greece in 1923, the inhabitants of Ant (Mirmingi) Island, were forced to migrate to lands they never knew. With the population exchange decision taken in Lausanne, the Greeks were sent to Greece and it was decided to settle the people who lost their homeland in the wars on this island in the Aegean. With this news, the people of the island experience some stages of queer, uncanny emotions, such as grief, anger, denial, bargaining, depression, and ultimately acceptance, and step into the Greek lands as an exchange. Vasili Atoynatanoğlu, who is a veteran of the Sarıkamış operation, however, did not participate in this forced migration. People from various origins who take refuge on the island, with the support of Poyraz Musa, launch a new life despite all the pain they have experienced. Predominantly based on Freud, Bhabha, and Kristeva’s theories of the uncanny, the paper handles the issues of forced migration between Turkey and Greece and its profound impacts on migrants and local people in the nation-building process of the new Turkish state. The purpose of this paper is to analyse Yaşar Kemal’s Look, the Euphrates River is Flowing Blood through the theories of the “uncanny” and nationalism by highlighting the uncanny presence of characters within the novel.
Динамика изменения запасов воды в снежном покрове в Есильском водохозяйственном бассейне
Authors:   Казахский национальный университет им. аль-Фараби, пр. аль-Фараби, 71, Алматы, 500501, Казахстан, Тиллакарим Т. , Кауазов А. ,   Научно-исследовательский центр РГП «Казгидромет», пр. Мангилик Ел, 11/1, 010000, Астана, Казахстан, Гафуров А. ,   Немецкий исследовательский центр наук о земле (GFZ), Научный парк «Альберт Эйнштейн», Телеграфенберг, 14473, Потсдам, Германия
Published: July 2023

В статье представлена динамика изменения максимальных запасов воды в снежном покрове в Есильском водохозяйственном бассейне в период 1971–2019 гг. Основной целью работы является изучение динамики изменения влагозапасов снежного покрова, так как снежный покров играет важную роль в климатических, гидрологических и гляциологических процессах, являясь мощным климатообразующим фактором. Анализ произведен с применением методов математической статистики: путем сравнения средних многолетних значений за два последовательных периода: базовый – 1971–1995 гг. и современный – 1996–2019 гг.; метод линейной аппроксимации временных рядов и для определения тенденции изменения применен метод Манна-Кендалла. Для этого использованы декадные максимальные данные запасов воды в снежном покрове 24 метеорологических станций. В результате исследования выявлено, что за многолетний период запасы воды в снежном покрове варьируются в пределах от 38 мм (Чкалово) до 146 мм (Балкашино). Для современного периода по сравнению с базовым отмечаются более поздние сроки начала накопления и более ранние сроки полного стаивания. В различные периоды в ходе аномалий влагозапасов в первом приближении выявлены цикличные колебания. Динамика изменения запасов воды за два последовательных периода, метод линейной аппроксимации и тест Манна-Кендалла показали, что статистически значимые изменения запасов воды наблюдаются на станциях Жаксы, Рузаевка, Саумалколь, Возвышенка, а на остальных станциях изменения статистически не значимы.
Analisis Kesiapan Guru Dalam Mengimplementasikan Kurikulum Merdeka Belajar di UPT SDN 9 Makale Selatan Tana Toraja
Authors: Tandiarrang Kristina Lai , Sihotang Hotmaulina , Gracia Lisa
Published: July 2023

Perubahan dan perkembangan kurikulum selalu diupayakan untuk mewujudkan pendidikan yang mencerdaskan putra putri bangsa Indonesia. Kajian ini bertujuan untuk memberikan gambaran kajian konseptual tentang kurikulum dan platform belajar mandiri yang telah disusun oleh pemerintah dengan mengutamakan guru untuk dapat memahami dan menguasai serta menerapkannya dalam pembelajaran. Mendeskripsikan kesiapan mengajar guru dalam pembelajaran IKM, dukungan sekolah terhadap kesiapan sarana dan prasarana IKM, faktor pendukung dan penghambat implementasi kurikulum IKM di Sekolah SDN 9 Makale Selatan, serta solusi permasalahan implementasi mandiri kurikulum di sekolah UPT SDN 9 Makale Selatan. Penelitian ini menggunakan metode penelitian deskriptif kualitatif, dengan menggunakan pendekatan pemecahan masalah. Sumber penelitian ini adalah guru di UPT SDN 9 Makale Selatan Tana Toraja. Hasil yang diperoleh dari penelitian menunjukkan bahwa sebagian guru yang mengajar di sekolah tersebut belum siap dengan perubahan kurikulum IKM mandiri di sekolah, dan sebagian guru yang lain merasa siap menerima kurikulum IKM di sekolah. Terkait faktor pendukung dan penghambat, untuk kesiapan kurikulum belajar mandiri faktor pendukung antara lain: dari keuangan yang dianggarkan sangat jelas dari pemerintah. Koordinasi dari pemerintah daerah dengan satuan pendidikan, serta ketersediaan fasilitas pembelajaran pendukung di SDN 9 Makale Selatan Tana Toraja. Berdasarkan hasil analisis kesiapan guru dalam mengimplementasikan kurikulum, mereka 100% siap untuk melaksanakan pembelajaran di sekolah dengan mengikuti pelatihan IKM dalam kelompok kerja guru di satuan pendidikan untuk melatih pemahaman dan kemampuan menggunakan fitur dalam pembelajaran mandiri kurikulum di sekolah.
PENYESUAIAN ORGANISASI TEMPAT DUDUK TERHADAP KEBUTUHAN INDIVIDUAL DAN HASIL BELAJAR SISWA
Authors: Fatimah Aah Siti , Prihatin Prihatin
Published: July 2023

This study aims to determine the adjustment of seats to individual needs and student learning outcomes, especially on research results. There are still schools where the teacher has not made seat adjustments. As for the formulation of the problem of this research is how the effect of adjusting the organizational structure of the seats on the individual needs of students and how the effect of adjusting the seating organization on student learning outcomes. In this study, researchers took one of the elementary schools in the city of Bandung. The sample used as a data source is 23 grade 5 students. Data collection was carried out by direct observation, interviews and documentation studies. The time for carrying out the research was October-November 2022 at one of the public elementary schools in the city of Bandung. Seating organization adjustments can help solve individual student needs, this is because seating arrangements are adjusted to learning methods so that students can analyze student learning needs. With seating arrangements the teacher can reach all students by grouping students according to their learning needs, and answering according to the formulation of the problem.
STRATEGI GURU DALAM MENGATASI ANAK DISLEKSIA KELAS 3 DI SDN 31 CAKRANEGARA
Authors: Saiful Asriani , Witono Hari
Published: July 2023

Dyslexia is a learning disorder that affects a person's ability to read, spell and write. This disorder is not related to intelligence problems or visual deficiencies, but is caused by difficulties in processing and understanding letters, words and written symbols. This study aims to explore the strategies used by teachers in overcoming dyslexic children in grade 3 of SDN 31 Cakranegara. The research method used is qualitative method with descriptive type. The researcher observed and interviewed a grade 3 teacher who has experience in teaching dyslexic children. The results showed that teachers used strategies in overcoming dyslexic children in grade 3, namely learning material adjustment strategies, multisensory approaches, individualized support, and collaboration with parents.
Study of Physicochemical, Cooking and Nutritional Properties of Selected Traditional Rice Varieties of Tamil Nadu
Authors:   Nammazhvar Organic Farming Research Centre, Tamil Nadu Agricultural University, Coimbatore-641 003, India, M Suganthy , S Manickam ,   Nammazhvar Organic Farming Research Centre, Tamil Nadu Agricultural University, Coimbatore-641 003, India, R Ganesh ,   Nammazhvar Organic Farming Research Centre, Tamil Nadu Agricultural University, Coimbatore-641 003, India, R Sunitha ,   Nammazhvar Organic Farming Research Centre, Tamil Nadu Agricultural University, Coimbatore-641 003, India
Published: July 2023

The study has been undertaken to investigate the physico-chemical, cooking and nutritional qualities of selected traditional rice varieties of Tamil Nadu. Significant variations (p<0.05) were observed among the twelve traditional rice varieties for all the characters except hulling percentage. Among the varieties, the highest hulling out-turn was found in Poonkar (90.0 %) and the lowest was found in Anaikomban (84.0 %). The milling out-turn was ranged from 74.0 % to 80.0 %. Head Rice Recovery (HRR) varied from 50.0 % to 75.0 %. The kernel length was highest in Kullakar (6.3 mm) and lowest (4.2 mm) in Milagu samba and Thulasi vasa samba. Kernel breadth was ranged between 1.4 – 2.5 mm. Based on length/breadth ratio, the variety Thanga samba obtained slender grain type whereas all other varieties obtained medium grain type. The Kernel length after cooking ranged from 6.5 mm (Thulasi vasa samba) to 9.8 mm (Poonkar). The volume expansion ratio ranged from 4.6 in Sorna masuri to 3.7 in Poonkar and Kullakar. Gel consistency ranged from 46.0 - 135.0 mm. The Gelatinization Temperature (GT) was determined based on alkali spreading value and the rice varieties Milagu samba, Kuzhiadichan and Thulasi vasa samba have obtained intermediate GT values whereas other varieties evaluated showed high to intermediate GT. Intermediate amylose content is considered to be the best from the cooking point of view. Varieties Anaikomban (20.1 %), Garudan samba (20.4 %), Poonkar (20.7 %) and Sorna masuri (23.2 %) were identified with intermediate amylose content. Highest protein (10.40 %), iron (15.8 mg kg-1) and zinc (20.5 mg kg-1) content were recorded in the varieties Poonkar, Thuaiya malli samba and Kullakar respectively, making them nutritionally superior among the tested varieties. There is a growing global demand for rice varieties with good quality characteristics. This study provides immense information on varieties with superior physico-chemical, cooking and nutritional characteristics which could be used to meet those demands.
The Battle Cry of Resistance Against Inequality and Injustice: A Multimodal Critical Discourse Analysis
Authors: Mansouri Mohammad Ebrahim , Parina Jose Cristina
Published: July 2023

This paper used the three-dimensional discursive analysis of Fairclough as a premise on the political and power ideologies involved in the images and the visual grammar of Kress and Leeuwen to unveil the representational, interactive, and compositional choices undertaken to disseminate the notion of resistance against racial inequality and injustice through the interaction of multimodality and resemiotization. It sought to identify the visual meta-functions and sub-meta-functions in the selected images of anti-racist/-injustice rallies and which of these (sub-)meta-functions re-semiotize the anti-racial movement, Black Lives Matter, into its basic elements, namely, Black Men/Women/Futures Matter or other movements. It also attempted to document how social practices are disseminated and redefined using visual grammar features in the selected images. Three out of thirty-seven chosen news images from CNN world news coverage, ordered vertically, were discussed in the paper. Results showed that the images confirm the presence of four processes: action (highest), symbolic, reactional, and speech (lowest). It also illustrated that the hegemony of political symbolic representations is strengthened or recontextualized through religious, social (gender issues-LGBT), and ethnic (Australian aboriginal groups) orientations. Lastly, the images showed that the socio-anti-racist practice is legitimized through purging the racially discriminative symbolisms (Iconoclasm) of dominant ideology by an eligible participant. The study concluded that although the representational structures (action, reactional, and symbolic processes), interactive patterns, and compositional systems appeared to be utilized somewhat equally, the micro-meta-function subcategories (contact, vertical/horizontal angles, modality, informational value, and salience) were distinguishing factors in meaning making and resemiotization among the selected news images.