Reviewerly/exHarmony huggingface dataset:
Solar Flare Prediction Using Hybrid CNN-Model

This paper introduces a hybrid convolutional neural network (CNN) approach to solve the issues given by unpredictable solar flares in space weather forecasting. The methodology, which uses the Solar Dynamics Observatory (SDO) benchmark dataset, combines the robust feature extraction capabilities of VGGNet-16 with the computational efficiency of LeNet. The SDO dataset’s input data is carefully preprocessed and shrunk to fit the input size of VGGNet-16, which processes the data to extract complex feature maps capturing minor solar activity patterns. These maps are then transformed to 32x32 to meet the input requirements of LeNet, enabling for accurate classification of solar flares into their appropriate classifications. The experimental results show that the hybrid CNN system outperforms standard approaches in terms of prediction accuracy. The combination of VGGNet-16 feature extraction with LeNet classification improves accuracy while also ensuring computational economy, which is critical for real-time applications. This study represents a big step forward in space weather forecasting, demonstrating the connection between deep learning and heliophysics. The suggested model advances our understanding of solar phenomena by exposing complex patterns underlying solar flares and bridging the gap between observational data and computer models. The discovery holds potential for real-time space weather monitoring, which is critical for satellite operations and terrestrial communication systems. The methodology’s efficacy highlights its potential for enhancing astrophysical data processing and space weather forecasting skills, emphasizing the synergy between the technological advancement and scientific research in the field of astrophysics.
Synergizing Collaborative Filtering and Popularity Scores in a Machine Learning Approach for Content Suggestions

Today, it is common to rely on reviews from other people when making decisions on a variety of life decisions, including which movies to watch, which items to buy, and which books to read. Recommender systems are crucial in meeting this need. By projecting a user's expected rating for an item, these systems function as filtering algorithms. Recommender systems provide advice to consumers via a prioritized list of projected item ratings after filtering through large data repositories. Online book recommender systems focus primarily on book aficionados. People frequently take into account and put their faith in the comments and reviews written by previous readers when choosing which book to read. The following study proposes a cleverly combined hybrid recommender system that combines content-based and collaborative filtering techniques. The author uses clustering techniques to divide data points into various clusters in the context of collaborative techniques. For this, methods like K-means clustering and Gaussian mixture models are employed, with the best algorithm being selected through the use of the silhouette score. The clustering procedure is then guided by the selected algorithm. Additionally, to efficiently reduce the dimensions of a sparse dataset, the research applies the Matrix Factorization method, specifically using Truncated Singular Value Decomposition (Truncated-SVD). The system uses the TF-IDF vectorizer for Content-Based Filtering, which takes textual assertions as input and converts them into a matrix of related vectors. The Root Mean Square Error (RMSE), a metric that measures the difference between absolute and obtained values, is used in the study to assess the system's correctness. This measure sheds light on the recommender system's underlying accuracy.
A Fine-tuned BERT-based Approach for Sentiment Analysis of Indonesian Public Towards ChatGPT

The rapid development of artificial intelligence technology, one of which is ChatGPT, not also invites several opinions in Indonesian society, so it is necessary to do further sentiment analysis to find out the views of the Indonesian people towards ChatGPT on popular social media for opinionated communities such as Twitter. By using the sentiment analysis method and utilizing BERT (Bidirectional Encoder Representations from Transformers) technology, this study aims to analyze the sentiments of the Indonesian people towards ChatGPT and measure the performance of IndoBERT-Base and IndoBERT-Large to obtain sentiment analysis results. Based on the experiments, the IndoBERT-Base yielded an accuracy of 78%, and IndoBERT-Large yielded an accuracy of 79% based on hyperparameter tuning.
The Relationship between College Students' Part-time Job Engagement and Their Professional Learning

This study aimed to investigate college students’ reasons for engaging in part-time job employment and its relation to their professional learning. The research instruments included a short survey of students' background, a six-point Likert Scale questionnaire of part time job motivation, working performance, job ability enhancement, career planning, influence of part-time job, English learning motivation, and English learning anxiety. The results showed that students had higher mean in English learning years, English reading time, and learning motivation. Except for career orientation, students had stronger parts of work and work achievement and job capability enhancement, but there were no significant differences in genders and social class in students' part time work engagement and English work motivation and anxiety. In addition, there were significant differences of genders, social class, and genders in students part work engagement, and there was no significant difference in gender between students and parents. The findings showed that gender, part time experience, English learning motives and anxiety were found to be related to students' part-time job engagement in one way or another, and both parents and teachers should not only hold a positive attitude toward students, but also encourage students to bear in mind that education should always be the priority in the learning stage.
Managerial Tool for Work Quality Evaluation Based on Markov Chain Algorithm

The aim of this study is to apply and validate the use of Markov chains in modelling and analysing the performance of working groups. The Markov chain model is applied to investigate the probability of accepting arriving work, the availability of workers, and the utilisation of a group. The model also indicates changes in the crews reliability and its utilisation for various numbers of staff. The paper provides managers with a practical tool for modeling and analysing the performance of working groups. However, this research is limited to the type of work with a fixed arrival rate and to the situation in which the work is lost if it is not initiated immediately upon arrival.
The Analysis of Factors Contributing to the Success or Failure of New Product Development

Developing new products and staying ahead of the competition is critical for the survival of companies in a competitive environment. There are many factors affecting a product's chance of success in these environments, such as the company business model, the product type, the company's organisational structure and so on. The objective of this study was to define the relative importance (weights) of 19 factors that FMM companies can use to measure the success or failure of the new product development (NPD) they launch. We used group decision-making with the analytical hierarchy process (AHP) and considered three methods of handling the responses of outliers (DMs whose opinions differed from the majority). The results showed that customer satisfaction, proportion of total sales by new products, influence on the overall profit of the company, and growth of demand for the company products were the most important factors for measuring the success of innovation. However, it can happen that weight assignment methods produce very different rankings of factors and this situation can be challenging for the decision analyst.
Development of a Transformative Leadership Model in the Emergence of Innovative Work Behaviors

In today's highly competitive and advanced world where innovation plays an important role, understanding the nature of employee behaviors in the emergence of innovative behaviors is essential to strengthen innovation and organizational success. By understanding the position and role of leaders in persuading employees to show creative behaviors, the current research has sought to develop a transformative leadership model in the emergence of innovative work behaviors. The way we are doing this research is by using both surveys and applied methods. In the first part of the research, we looked at other studies to find data, and in the second part, we asked 30 Pars airline industry experts to fill out a questionnaire. We used Smart PLS software to study how things are connected. At the end of the discussion, the analysis model shows that being a strong leader who inspires and takes action in making changes and running a business leads to a positive workplace. This affects how willing people are to take risks and be motivated to work, as well as how the leaders and employees learn and come up with new ideas. "Among the workers. "
DIGITALIZATION AS A MODERN CONDITION OF SOCIAL INTERACTION IN CULTURE

The formation of the digital environment leads to the development of new behaviors, where the principle of social interaction is fundamentally changing. Obviously, these changes will be one of the most significant aspects of shaping the world picture. The emerging difference in the ways of interaction actualizes research in the field of constructing a social reality that acquires a predetermined meaning and shape, within which technological aspects become much more significant than substantive ones.&#x0D; Digitalization contributes to the emergence of new ways of interaction that can significantly transform public perceptions of the surrounding space and its constituent elements.&#x0D; The high information noise of the digital environment reduces not only the focus of the user’s attention, but also, as a result, leads to the so-called “attention economy”. Emerging practices using “big data” change the usual ways of interaction and indicates that modern technologies can change the design of an individual’s behavior.&#x0D; In this regard, the question becomes relevant, to what extent is it possible to construct an individual’s behavior through digital influence? And what methods of construction are in demand today to the greatest extent?
IMAGES OF THE PAST AND THE PRESENT IN RUSSIAN UNIVERSITY MUSEUMS

This article examines a “double” or “two-layer” appeal to the past in Russian university museums and the formation of a special visual language in them. The first layer is an appeal to ancient images in Russian culture of the 18th -19th centuries, during the Age of Enlightenment. The second layer is the reception of it in modern culture. The author has chosen university museums as a material for the research, because at the time of their appearance they represented the most relevant and progressive ideas of the Enlightenment and today they are also significant centers of education and communication. Their developed interiors use such ancient images as architectural details and images of ancient philosophers, which was common for the 18th-19th century. The aim of the study is a description of the embedded meaning`s changing. What image of the past and the present could or should have been formed among museum visitors in the 18th -19th centuries? What image of the past and the present is being formed today? The author believes that it is productive to consider any example of the representation of the past through the considering of two points: the current concept of time and the political interest of the present in a specific period of the past. The findings of the research can be used as illustrations or examples to demonstrate the specifics of the Russian Enlightenment culture and modern culture.
The process of training and development of computational thinking and implementation of STEM activities: the point of view of pre-university teachers

Studying the 126 teachers’ didactic cases from different parts of Moldova and different educational levels. The questionnaire reflects teaching experience, level of preparation for STEM projects and familiarity with the notion of computational thinking. The results of the questionnaire indicate the fact that most teachers implement STEM projects, nevertheless additional training in this area is needed. Teachers confirm the importance of computational thinking and consider it foremost to contribute to the development of a set of skills that students should possess. The conclusions offer suggestions for enhancing teacher training and implementing the concept of computational thinking in education.
INFORMATION AND COMMUNICATION PROVISION OF THE NATIONAL UNIVERSITY OF OSTROH ACADEMY: A PROBLEM-TARGET APPROACH

The article is devoted to current information and communication provision issues at the National University of Ostroh Academy. The criteria for the use of information technologies in the management of a modern institution of higher education are considered. Based on the results of the research, the forms, methods, and means of internal and external communication of the information and technical center of the National University of Ostroh Academy were analyzed; the principles, norms, and peculiarities of the information and technical center’s work were highlighted, as a result of which the strengths and weaknesses were indicated; opportunities for improving the center’s work are substantiated and risks that have a negative impact on the center’s activities are outlined; a SWOT analysis of the activity of the information and technology center was carried out.
An Algorithm for Complex Multi-criterion Decision-making Problem Solution

Multi-objective optimization is a very competitive issue that emerges naturally in most real-world problems. Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of trade-off optimal solutions — known as Pareto-optimal (PO) solution — in the past decade and beyond. This research contributes to the existing set of knowledge in the field, as we present combination of evolutionary algorithm R-NSGA-II and penalty boundary intersection (PBI) approach that allows to get a part of PO points instead of a single point at each iteration. Such procedures will provide the decision-makers with a powerful tool to gain more reliable results. The suggested model can be effectively used to solve various multi- and many-objective optimization problems, achieving excellent results. We also provide a comparative analysis with other existing solutions. The results emphasize the reached advantages of our solution, which ensures good convergence and diversity in the area of interest with sufficient computational time reduction.
Implementation of genetic algorithms. Practical approaches

In the paper, the authors analyze the main concepts related to the operation of the Genetic Algorithm in order to find an optimal solution, expressed through the fitness function. By analogy with the evolutionary dimension of Darwin's theory, which involves the generation of populations (generations) of chromosomes, the genetic algorithm involves the selection of the most "efficient", most "adaptable" chromosomes from the current generation. Thus, new chromosomes are formed by applying one of the three genetic operators (or all three): selection, crossover and mutation. In this sense the authors examine the most popular methods related to the implementation of the genetic operators mentioned above. A concrete application of the Genetic Algorithm is examined and at the same time the stopping conditions of the respective algorithm are investigated.
Theoretical background for studying HTML5 editors to create and change digital design elements

The article considers the problems of choosing an online graphic editor with optimum functionality for creating and modifying digital design elements; analyzes their advantages and disadvantages. Is explored the evolution of the study of creating and changing digital design elements along the vertical gymnasium-lyceum. Conclusions are made about the result set of characteristics of the desired graphics editor – Photopea.
Development of genetic algorithms from inter/transdisciplinary perspectives

The theoretical-practical foundations of Genetic Algorithms, which are built on the principle of "survival of the fittest", enunciated by Charles Darwin, are dealt with in this paper. The paper describes the basic characteristics of the genetic algorithm, highlighting its advantages and disadvantages. Genetic algorithm problems are examined. The Genetic Algorithm is examined from the perspective of examining problems in which finding the optimal solution is not simple or at least inefficient due to the characteristics of the probabilistic search. The steps are shown in which Genetic Algorithms encode a possible solution to a specific problem in a single data structure called a "chromosome" and set the stage for applying genetic operators to these structures in order to maintain critical information.
Methodological prescriptions for implementing the Design Thinking Learning method

Good educational practices show that constructivist pedagogical approaches, which involve the learner in the self-learning process, represent effective solutions for achieving academic performance. Active learning methods, being constructivist, can offer a number of advantages to the instructional process if they are implemented and managed correctly. This article presents the Design Thinking Learning method, its characteristics and methodological prescriptions for its integration.
Constructivism in physics teaching

The basic principles of constructivism are examined in this paper and, based on the 5E instructional model, it is shown how constructivism can be applied to the study of the chapter Uniformly Accelerated Motion. In order to form the intrinsic motivation to learn physics, the student's internal resources, which must be accessed by the teacher, are presented. The connection between constructivism and the multidimensional structure of knowledge, which consists of conceptual understanding, procedural knowledge and axiological knowledge, is analyzed. Based on the example of the chapter Uniformly Accelerated Motion, it is shown what exactly each of these three forms of knowledge contains.
Conceptual and correlational aspects of vocational education from the perspective of preventing adaptation difficulties in the school environment

The article presents a comprehensive overview of the scientific content related to the concepts of vocation, vocational education, and vocational identity. It elucidates and explicates the principles of vocational education. Delving extensively into the notion of identity, it emphasizes that it is precisely from this perspective that research on phenomena captured by the vocational identity concept becomes fertile. Arguments are put forth in favor of the Correlation Matrix concerning vocational education from the perspective of preventing school adaptation difficulties. This tool assumes that it will also be beneficial for the student in the future, across various contexts, ensuring the development of vocational identity and the prevention of adaptation challenges in the school environment.
Principles for developing pedagogical innovation transfer competence

The article reflects the description of the principles for developing pedagogical innovation transfer competence, which have been formulated by the author based on the innovation transfer principles promoted by experts from various geographic areas and fields, including the field of education sciences. The necessity of adhering to these principles is argued for ensuring the success and relevance of innovation transfer in education.
Formation of pedagogical tolerance in students of higher educational institutions

Education of a personality that has a tolerant mentality is one of the most important problems of modernity in connection with global changes and the disequilibrium of the world in which they occur, so the development of tolerance towards other ways of life in the personality of the younger generation becomes especially relevant. This, in turn, necessitates the formation of tolerance as a special property of professional consciousness, first of all, in teachers themselves. The article substantiates the relevance of the problem of forming tolerance in students of pedagogical university: it emphasizes the theoretical and practical interest in the phenomenon of tolerance and methods of its diagnostics.
Critical View on Reliability of One-sample t-Test as a Tool for Business Decision-making

A lot of organizations rely on t-test and hypothesis testing to determine if they can bank on the observation results, they are obtaining, or if it is just unexpected luck or random happenstance. Small businesses find this statistical technique to be an economical and precise way to compare observations or two population groups for numerous different scenarios without resorting to expensive live test scenarios. From testing employee job satisfaction by gender to better understanding economic growth in one city compared to another to identifying if a certain customer segment spends more on specific products, the t-test is a useful statistical technique for businesses. This research suggests a structured analysis aimed to find out the limitations of the one-sample t-test. The results obtained prove that typical characteristics of business processes and the commonly used techniques in empirical research have significant influence on the reliability of the classic one-sample t-test for decision-making, and its nominal error probability is underestimated. In these regards, a set of simple and effective recommendations is given for researchers and decision-makers in order to avoid fatal mistakes in their activities. This piece fills the gap, which is important for further research in economic and managerial statistics.
The pedagogical model of creativity training of students from primary school for development of lecturing and writing skills

The study of literature is not only the equivalent of knowledge, but also of building one's own identity. Therefore, the approach to literature must be reshaped and reconsidered, so that it is necessary that the approaches take into account, in addition to the cognitive side of learning, the affective-attitudinal dimension and the creative-imaginative capacities of the students. Creative reading and creative writing offer teachers and students a fertile ground for exploiting and capitalizing on these capacities, while reading is not only about better understanding the ideas of the "other", but also a process that can lead to a deeper and more nuanced understanding of our own ideas and feelings, of the identity that we continuously build by relating to others. We must advocate for the stimulation of creativity, this being an essential means to develop critical thinking and to stimulate the potential of each student both in the process of reception and in the process of writing.
Ensuring information security in the higher education system from the perspective of classifying information assets

The article considers the threats arising in the information environment of a higher educational institution. The risks of threats to integrity, confidentiality and accessibility are assessed. In accordance with the presented categories of information assets of the higher educational institution, the necessary measures for their protection are described.