Reviewerly/exHarmony huggingface dataset:
SCIENTIFIC EDUCATION AND REPRESENTATION OF THE SCALE OF SIZES OF THE MATERIAL WORLD OBJECTS

The article establishes the compliance of the current growth of the scope and limits of scientific knowledge of the proper representation of the scale of the objects of the material world (OMW) with the principles and ideas of scientific education. It is shown that the scale of measurements of OMW belonging to micro-, nano-, macro-, megaworld, the universe as a whole is a scientific and socio-cultural phenomenon with its own cognitive history of creation, which should be taken into account as a feature of its understanding in scientific education. It was determined that scientific education as a modern European educational model focuses on the content component, which is based on the implementation of the principles of scientific education, the use of "great ideas of science" in combination with the history of their development, in accordance with the general didactic principle of scientificity. The "great ideas of science" defined in science education use generalized large-scale ideas about OMW. It is proved that the understanding of the key principles and "great ideas of science" defined in scientific education as an educational model is actualized by the didactic possibilities of the representation of the scale of OMW parameters. The didactic possibilities of using representations of the scale of OMW parameters have a potential focus on: updating the principles and "great ideas of science" in science education; diversification of symbolic forms illustrating the unity of size measurements, properties and limits of recognizability of the observed OMW in the universe; generalization of the system outlook of students concerning the scientific picture of the world; formation of the ideas about the nano-, micro-, macro-, and megaworld as key links of a single cause-and-effect relationship of the phenomena of the universe; emotional saturation of pupils' and students' perception of the "great ideas" of scientific education.
Development of the university digital ecosystem in modern conditions

In modern conditions, in the context of the modernization of the higher education system, the digital ecosystem of higher education institutions plays a decisive role. As digital counterparts of natural ecosystems, digital ecosystems are made up of many independent entities such as individuals, organizations, services, software, and applications that perform one or more tasks and focus on interactions and relationships among themselves. Content analysis of scientific research has demonstrated different approaches to the concept of a digital ecosystem. In this study, the digital ecosystem is considered in the context of transformational processes. Based on the digital transformation roadmap recommended for billion-dollar companies, the author made an attempt to adapt it for higher education institutions, which will contribute to the effective development of the digital ecosystem. It was determined that the main areas that should be subjected to digital changes are interactions with stakeholders, operations, employee experience, as well as the transformation of the business model and the development of digital platforms. Each individual direction is a tool, which will allow initiating and stimulating digital transformation. At the same time, digital transformation requires strong leadership, a clearly defined direction of development and a vision that is consistent with the development strategy of the university. Also, any digital change requires investments and effective communications to ensure development in the right direction. This study can be useful for university leaders at different stages of digital transformation.
METHODOLOGICAL PRINCIPLES OF USING INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE EDUCATIONAL PROCESS

The study of issues related to the use of educational information technologies is one of the modern and very relevant directions in pedagogy. The analysis of the results of research obtained today by specialists in the specified direction allows us to formulate the conclusion that results both repeat and complement each other, but at the same time differ significantly. The established similarities and differences, determining the value of each study, influence first of all the author's choice of "path" and "instrument" of scientific activity, that is, methodology. Therefore, the construction of properly organized pedagogical, research and scientific activity, as well as conducting an expert analysis of the available results of research activity in any field, just like the analytical activity itself, should begin with the selection of methodological principles. Within the dynamic processes of modern education, the methodological activity of a specialist is constantly complicated, enriched, and becomes science-intensive. The ratio of functions changes within it: the informational component recedes into the background, giving way to the functions of design, construction, organization, communication, and others. Using the formulation of general scientific principles found in psychological and pedagogical research, the essence of the methodological principles of pedagogical activity is highlighted. Under certain conditions, any system of principles can be developed, specified or supplemented. Therefore, in the context of requirements for increasing the efficiency of the use of ICT, the presented system of bases of existing principles was supplemented with the following principles of using ICT in education: educational value, pedagogical expediency, cognitive relevance, didactic significance and methodical effectiveness. In the real pedagogical process, the content of the components and their connections (as a component of the didactic structure) is clarified, in particular, on the basis of accounting for the specific psychological and pedagogical features of the students and the teacher (according to the selection of distinctive features of the didactic structure).
Using Ontological Modeling by Intellectualization of Learning Processes

The purpose of the article is to investigate and consider the general trends, problems, and prospects of using ontological modeling of learning, training, and education processes in the university.&#x0D; The research methodology consists in methods of semantic analysis of the basic concepts of the considered subject area (learning, training, and education processes in the university and intelligent technologies). The article discusses approaches to intellectualization education in the university with the help of modern systems that are based on ontological modeling and intelligent technologies.&#x0D; The scientific novelty of the research is the analysis of the ontological modeling use and intelligent technologies for the intellectualization of learning processes.&#x0D; Conclusions. The article discusses various aspects related to ontological modeling and intelligent technologies.&#x0D; The use of ontological modeling in the intellectualization of the higher educational institutions’ activities makes it possible to move to the individualization of learning processes, to provide students and teachers with access to the ontology of not only a separate course, but also all courses of the educational and professional program in the relevant direction, to involve employers and other stakeholders in improving the educational process.
Cyclic Forms in Anatolii Haidenko’s Creativity: Genre-Style Features

The purpose of the article is to reveal the aesthetic, genre and style constants of Anatoly Haydenko's creative activity. The methodological basis is the basic principles of the theory of knowledge (objectivity, scientificity, historicism, integrity, interconnection and interdependence of phenomena and processes of reality); the main provisions of systemic, axiological, art history, competence, and cultural approaches as a methodological way of studying composer activity; conceptual provisions of the theory of professional compositional skill. The scientific novelty lies in the fact that, on the basis of the composer's personal statements, his aesthetic position regarding the purpose of art is highlighted; by analysing scale-compositional, technical-performance and genre-stylistic features, A. Haydenko’s narrative works are systematised. The intonation, textural, compositional, and dramaturgical features of the composer's music are revealed based on analytical observations of a number of opuses. The evolutionary trends and genre-intonation system in A. Haidenko’s accordion work are characterised. Conclusions. A. Haidenko's fairy tale concerts and sonatas demonstrate the composer's demonstrative interest in images of the distant past, the desire for a national certainty of sound, reliance on folklore sources, presented both in the form of quotations and intonation or harmonic elements assimilated in the author's text. Another trend in A. Haidenko's work was marked by the concerto for accordion with orchestra "Ecce homo!", which clearly shows the composer's desire to expand the figurative and stylistic horizons of music in the direction of the European coordinate system.&#x0D; Key words: cyclical forms, genre-stylistic features, Ukrainian music, A. Haidenko’s creativity
VFLChain: Blockchain-enabled Vertical Federated Learning for Edge Network Data Sharing

With the widespread use of Internet of things(IoT), a large amount of data will be generated in the edge of network, which can facilitate a significant transformation in edge intelligent services by integrating with edge computing, 5G and artificial intelligence. However, since the intelligent edge services seriously rely on big data and computing resource, it challenges the traditional centralized data processing model. Data sharing is a promising way to tackle this problem, but some critical technical challenges still remain, such as fragile data privacy protection, inefficient data exchange and low quality of data fusion. To address these problems, a privacy-enhanced and intelligence-preserved data sharing system, name VFLChain, is proposed in this article. The proposed VFLChain is designed based on consortium blockchain and vertical federated learning, which can ensure trustworthy and secure data sharing without relying on any center platforms or third parties. Furthermore, a blockchain-assisted decentralized vertical federated learning is presented to adapt to the decentralized system and support privacy-preserved, intelligent and efficient edge data sharing, while improving quality of data through learning with different characteristic data samples. Then, a data sharing processing workflow in VFLChain is also described to demonstrated details of data sharing. The simulation experiments confirm that the proposed system and mechanism have good accuracy and stability, and guarantee an effective data sharing.
Development of augmented reality with the ADDIE model in mathematics learning

The aim of this study is to create augmented reality media. Then, based on the results of the development, the impact of the use of media with augmented reality on the results of learning mathematics was studied. The model used in this study uses the Analysis-Design-Development-Implementation-Evaluation (ADDIE) model. The best, unequal control group was used in the evaluation. Data analysis techniques using the best observation sheets, questionnaires and post-validation sheets. Based, on the data analysis, the result of authentication of three math teachers in augmented reality is 85%. The results of the students’ answers also gave excellent results 83%. The evaluation results show that the value of N-Gain in augmented reality learning averages 73% or 0.73. These results show that learning math using polyhedron augmented reality effectively improves math learning outcomes. Studying mathematics without augmented reality shows a high N-Gain score 50% or 0.5. However, both options are more effective when using augmented reality learning tools. The difference is 23% or 0.23. Based on the results of the study, it can be concluded that the use of augmented reality can improve the performance in math of secondary school students at SMP 10 in.Serang city.
Development of Android mobile learning on the subject of static electricity for class IX junior high school students

Focus of this research is to develop Android mobile learning on the topic of static electricity. This research and development adopt the ADDIE steps (analysis, design, development, implementation, and evaluation). Research sample was 39 students of class IX MTs Aswaja and SMP NU Suruh Semarang Regency. Sample was taken through a stratified cluster sampling technique and a purposive cluster sampling. The one-to-one, small group and field trials involved 3; 6; and 30 students. Product feasibility assessment involved a material expert, a media expert, and two practitioners. Data collection instruments include documentation, interview guidelines, and questionnaires. Validity and practicality values are 4.02 (very good) and 4.01 (very good). The one-to-one trial phase, small groups, and field trials resulted in an average student response score of 3.58 (very good); 3.85 (very good); and 4.25 (excellent). Product contains main menu: Objectives, Materials, Practice Questions, Simulation, and Evaluation. Android mobile learning has been published through the Google play-store under the name “Media Pembelajaran Listrik Statis”. Product advantages include: according to the 2013 curriculum, interactive evaluation questions, can be downloaded online and free, can be run offline.
African Buffalo Optimized Generative Mamdani Fuzzy Controller based Deep Belief Network for Efficient Speed Control in PMSM

Permanent Magnet Synchronous Motors (PMSM) are employed for highly efficient motor drive. PMSM are efficient, brushless, fast, safe, and have high dynamic performance. Many researchers pursued their areas of interest in PMSM in order to improve their performance through speed control. However, the PMSM’s efficiency was not reduced, and speed control was not carried out in an efficient manner. This problem is addressed by the African Buffalo Optimized Generative Mamdani Fuzzy Controller-based Deep Belief Network (ABOGMFC-DBN) model. Specifically, the ABOGMFC-DBN mode l is to handle the PMSM speed in order to attain a higher current value. The ABOGMFC-DBN model performs two processes: the multivariate African Buffalo hidden neuron and its weight optimization process, and the generative Mamdani fuzzy controller-based deep belief network process. The first procedure optimises the amount of hidden neurons in the deep belief network and its weight parameters. The PMSM speed is handled by the Mamdani fuzzy controller in the second step, which uses four layers. The mean square error (MSE) is then calculated in order to get the minimal rated current value using a Gaussian activation function. Finally, the PMSM’s performance improves. Using the PMSM parameter, the performance of the ABOGMFC-DBN model is evaluated on the basis of rising time, settling time, peak value, peak time, and peak overshoot. With a higher output current value compared to traditional techniques, the simulation findings of the ABOGMFC-DBN model enhance the PMSM’s performance.
Influencing factors of farmers’ participation in domestic waste classification: An empirical analysis based on the semi-nonparametric estimation extended model

Farmers are the main participants of domestic waste classification, and their willingness and behavior to participate are directly related to the success or failure of domestic waste classification and the construction of "beautiful countryside." Based on the analysis of the influence mechanism of exemplary behavior and social supervision on farmers' participation willingness and behavior, an empirical analysis of 988 survey data of farmers in Henan Province is carried out using a semi-non-parametric estimation extended model. The results show that: (1) 85.63% of farmers are willing to participate in the classification of domestic waste, but their willingness and behavior are not consistent. (2) The exemplary behavior of relatives can only increase the willingness of farmers. The exemplary behavior of neighbors and village cadres not only has a positive impact on the behavior, but also facilitates the transformation of willingness to behavior. (3) The supervision of village cadres can increase the willingness of farmers. Although the supervision of villagers and cleaners will reduce the willingness of farmers, it has a significant positive impact on the behavior of farmers. Based on the research conclusions, suggestions are made to play the leading role of village cadres, attach importance to the supervision of villagers and cleaners, broaden publicity channels and strengthen publicity to special groups, improve supporting policies and classification equipment, in order to promote the classification of rural domestic waste.
The Implications of Instructors’ Digital Literacy Skills for their Attitudes to Teach Critical Media Literacy in EFL Classrooms

We nowadays are heavily reliant on media and information technology.With the proliferation of technological media, easily accessible information, and people's dependence on technological tools, it is critical to cultivate critical attitudes among internet users.Hence, at schools, teachers should assist students in acquiring critical media literacy (CML) skills.Having this consideration, teachers need to become more digitally literate.This study aims to: 1) inspect teachers' digital literacy skills; 2) investigate teachers' attitudes toward the application of CML based on their different digital literacy abilities; and 3) scrutinize the implications.We collected data from EFL teachers at a high school in East Java, Indonesia, through interviews, focus group discussions, and classroom observations.We used theme-based analysis to identify and categorize the data before presenting the findings.The findings show the instructors are computer literate.However, not all instructors are proficient in digital literacy.There are instructors who exhibit insufficient digital literacy skills, as seen by the teachers stumbling when using technology.The competent digital literacy teachers show positive attitudes for teaching CML abilities.Meanwhile, the less digital literate teachers display negative attitudes for teaching CML abilities.Finally, the study suggests that instructors should strengthen their digital literacy and CML skills.
Developing mobile based activity in learning motion (Moba-Motion) : An innovative app

This study is proposed to design application based on Android in experimenting on linear motion. Moba-Motion can show the real data when user make a movement, thus data can be saved in csv file and automatically represent a graph then user can analyze how their movement occurs. The method used in this study is Research and Development with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Limited research on product development was tried out on limited respondents with 8 female teachers, 2 male teachers, 2 female Master Students in Physics Education. The research instrument is used a questionnaire with a Likert scale consisting of 15 questions to get the teacher's response on Moba-Motion. The results show 83.3% of respondents had a positive response that Moba-Motion is easy to use and has an interesting display. This study can be concluded that the app can be used in motion experimenting in the next physics classroom and the limitation of the app can be developed to get better performance.
An Automatic Breast Cancer Diagnostic System Based on Mammographic Images Using Convolutional Neural Network Classifier

World’s second most occurring cancer is breast cancer. Prediction of disease is one of the most challenging tasks and there are many factors that effect this type of diagnosis like the ability of visual perception. This paper proposed a Convolutional Neural Network (CNN) based proper method for analyzing the earliest signs of breast cancer with the help of mammogram images. The main goal of proposed system is to identify the disease of breast cancer at early stages. Due to this reason, Mammographic image analysis society (MIAS) dataset is used. There are three hundred &amp; twenty two (322) mammograms in the dataset, with 209 images of normal breasts and 133 images of abnormal breasts. While abnormal breasts are further classified as benign (62 images) and malignant (51 images). To implement this system, python library Keras and Tensor Flow libraries are used along with deep learning model CNN. Convolutional Neural Network (CNN) has been shown to be effective in detecting breast cancer in mammography images with 70% accuracy rate, according to promising testing data. The proposed system will enable the radiologist in detecting breast cancer in early stages.
Disentangling the contribution of individual and social learning processes in human advice-taking behavior

The study of social learning examines how individuals learn from others by means of observation, imitation, or compliance with advice. However, it still remains largely unknown whether social learning processes have a distinct contribution behavior, independent from non-social trial-and-error learning that often occurs simultaneously. 153 participants completed a reinforcement learning task, where they were asked to make choices to gain rewards. Advice from an artificial teacher was presented on 60% of the trials, allowing us to compare choice behavior with and without advice. Results showed a strong and reliable tendency to follow advice (test-retest reliability ~.73). Computational modeling suggested a unique contribution of three distinct learning strategies: (a) individual learning (i.e., learning the value of actions, independent of advice), (b) informed advice-taking (i.e., learning the value of following advice), and (c) non-informed advice-taking (i.e., a constant bias to follow advice regardless of outcome history). Comparing artificial and empirical data provided specific behavioral regression signatures to both informed and non-informed advice taking processes. We discuss the theoretical implications of integrating internal and external information during the learning process.
Application of technology in teaching and learning at the University - Opportunities and challenges for lecturers and students in Vietnam today

Vietnam is just one of several countries that have embraced the use of technological innovations in its classroom practices. From the start of the Covid-19 pandemic in 2020 until the present day, lecturers at all levels have increasingly made use of technology in the classroom. The best way to apply the policy of isolation during the Covid-19 pandemic while maintaining communication and university operations is through the use of technology in education, most notably online learning. The university's output standards, program structure, and knowledge base have all been guaranteed by the growth of online education. Important university events can also be coordinated online, ensuring that they go off without a hitch. For lecturers, incorporating technological tools into the classroom is a radical departure from the approaches they have relied on in the past. Students now have access to more resources, more recent information, and more efficient ways to utilize lecture content, thanks to the widespread adoption of technology in the classroom. The article employs a document-analysis methodology to examine the advantages and disadvantages of employing technology in the classroom from the perspectives of both instructors and their students.