Reviewerly/exHarmony huggingface dataset:
Psychological and Pedagogical Problems of Computer-aided Teaching of Natural Sciences

Information has become a global inexhaustible resource for mankind, which has entered a new era in the development of civilisation. Today it is important to improve the quality of education by introducing computer technologies in chemistry classes. The purpose of the study was to develop and present the methodological foundations of the development and implementation of computer technologies in the game teaching of chemistry to improve the teaching methods. To achieve this goal, the corresponding tasks were identified, as well as methods for their solution: the analysis and comparative analysis, modelling. Results of the study: the positive and negative factors of the use of modern computer technologies in chemistry classes were identified; the principles of selecting the content of the material using information and communication technologies in teaching were characterised; the methodical foundations of the application and use of information and communication technologies when teaching chemistry were considered. It was concluded that the use of a computer in the educational process contributes to the improvement of teaching methods more than any other technical means at the teacher's disposal. The introduction of information technologies into the educational process significantly changes and ultimately increases the effectiveness of teaching. The practical significance of the study is conditioned by the fact that the methodical foundations of the use of information technologies in chemistry class presented in the paper can be applied in schools and other educational institutions.
ENRICHED BIG DATA PRE-PROCESSING MODEL WITH MACHINE LEARNING APPROACH TO INVESTIGATE WEB USER USAGE BEHAVIOURY

In the present, the web has become the environment to live, learn, entertain, and socialize individually or as a group through digital platforms where users with high aspirations.As a result, investigating the web user behaviour is most active research even in the present and demands re-innovation in potential analytics to provide reliable and quality customized solutions.To perform this, the weblog is the primary source and poses tremendous challenges for the web researchers with complex sequence of processing steps and abundant information of weblog.Further, limited distributed storage models, partial parallel computing techniques, typical identification of appropriate attributes in the weblog analysis demands the high competitive performance models for effective characterization of web users.The importance of preprocessing in the entire process of weblog analysis is so critical while it is popular among researchers, nonetheless, the studies are limited.In addition, existing pre-processing studies focus on elicitation, reduction and transformation of web user usage data individually not comprehensively.Towards this, the present paper proposes Enriched Pre-processing Model (EPPM) that comprehensively concentrating on all the stages of pre-processing of weblog data in the framework of apache spark.The EPPM enables the capability of processing real time streaming data along with batch data as to sustain the validity of web user behaviour extracted from historical data also requires the strategy of processing real time streaming data.In addition to all pre-processing steps, EPPM integrates a machine learning approach to discard the search engine accessed logs from weblog as they are excessive in noticing the web user behaviour.The performance of EPPM is validated by conducting a series of experiments on a server side weblog data in a standard execution environment.The experimental results are also included.
Principal Component Analysis Online Statistical Analysis Tool

An online module to deal with PCA has been developed in ASP scripting language based on Server-Client Architecture. The module produces descriptive statistics via subprogram Descriptive Stats, computes eigenvalues and eigenvector using MxEigen Jacobisub-program, order eigenvector through MxEigsrtsub-program and finally produces eigenvalues, eigenvectors, output loadings and components scores through Output Eigenval, Output Loadings, Output Scoressub-programs. A user friendly interface has been developed for entering or pasting the data, entering various parameters such as number of variables, number of observations and selection of covariance/correlation matrix. A complete procedure for how to perform principal component has also been provided in help file.
Culture meets immersive environments: a new media landscape across Europe

The traditional media landscape is in the middle of a monumental shift: the new prosumer profile, the need for faster and more efficient communication, and the search for more user-driven and accessible multimedia experiences. New technologies (and more specifically, immersive environments) can provide great opportunities in the entertainment sector, and also in communication, learning, arts and culture. These technologies are gaining popularity due to the COVID-19 crisis as they enable interactive, hyper-personalised and engaging experiences anytime and anywhere. The EU-funded projects TRACTION (870610) and MEDIAVERSE (957252) are embracing new technologies in order to establish an effective participatory production workflow and are exploring novel audio-visual art representation formats. TRACTION will provide a bridge between opera professionals and specific communities at risk of exclusion based on trials, understood as experimental attempts at fostering an effective community dialogue between diverse individuals at risk of exclusion in three different situations, across three countries: Ireland, Portugal and Spain. MEDIAVERSE will enable the creation of a decentralised network of intelligent, automated, and accessible services, tools, and authoring platforms for digital asset management; legal and monetisable discovery and distribution of verified content, and barrier-free usage and integration in target media and platforms.
A chain of normalizers in the sylow $$\mathbf{2}$$-subgroups of the symmetric group on $${\mathbf{2}}^{\varvec{n}}$$ letters

On the basis of an initial interest in symmetric cryptography, in the present work we study a chain of subgroups. Starting from a Sylow $2$-subgroup of AGL(2,n), each term of the chain is defined as the normalizer of the previous one in the symmetric group on $2^n$ letters. Partial results and computational experiments lead us to conjecture that, for large values of $n$, the index of a normalizer in the consecutive one does not depend on $n$. Indeed, there is a strong evidence that the sequence of the logarithms of such indices is the one of the partial sums of the numbers of partitions into at least two distinct parts.
Development of WEB-Based Correspondence Management Application Programs Faculty of Mathematics and Natural Sciences UNIMED

Faculty of Mathematics and Natural Sciences which is one of the faculty at Unimed in organizing the activities scheduled and archive mail incoming and outgoing mail is still using manual diary. This is less efficient because it will be difficult to find so many archives of letters that have been stored for a long time. Currently, technological advances in the world are growing rapidly and are very much needed. Especially with the emergence of the Corona Virus Disease (Covid-19) Pandemic, most of the community's activities are disrupted so that activities are carried out online. Likewise with the student activities of FMIPA Unimed. Now students carry out lectures online. However, for final year students who want to apply for a thesis research letter or active students who want to apply for a scholarship need an active college letter, they must come to campus to take care of the files in order to get the required letter. Therefore, there is a need for a correspondence management application in the administration of FMIPA Unimed so that FMIPA Unimed students can take care of the required letters online, employees can speed up searching for mail data and print out their letter reports. This application is designed web-based using PHP and MySQL. This application has the ability to be accessed anywhere by admins, employees and students so that employees can manage mail with a user login, be it adding, updating, deleting, uploading, downloading and searching for letters and printing mail reports. In addition, it also makes it easier for students to take care of research letters and active lecture letters online until the letters are completed and can be downloaded. This application also provides a place to send messages to each other between employees and students.
CREDIT CARD FRAUD DETECTION USING RANDOM FOREST ALGORITHM

Credit card fraud avoidance has been the most popular problem in the developed world.In this case, credit card fraud is identified by fraudulent transactions.Since e-commerce sites are becoming more popular, credit card fraud is becoming more common.When a credit card is stolen it is used for dishonest reasons, a fraudster uses the credit card information for his own purposes, and it is called credit card theft.In order to track online fraud transactions, the new technology employs a variety of methods.To increase the consistency of the proposed scheme, we used a random forest algorithm to find suspicious transactions.It is built on supervise learning algorithm, which classifies the dataset using decision trees.After the dataset has been categorized, a confusion matrix is established.The confusion matrix is used to test the Random Forest Algorithm's accuracy.
Mathematical Analysis of Parametric Characteristics of the Consensus Algorithms Operation with the Choice of the Most Priority One for Implementation in the Financial Sphere

Blockchain is one of the leading data transfer technologies that eliminate the need for centralized management through consensus algorithms. This article describes the consensus algorithms, their benefits, and their applications within a micropayment system in the financial sector. Preliminary studies have shown that the performance of distributed databases largely depends on the chosen consensus algorithm. The main task of the study is to create a mathematical model to assess their performance. The most popular crypto projects and the consensus algorithms are analyzed to determine their performance. The obtained model was tested by calculating the parameters of the distributed register based on the directed acyclic graph algorithm and calculating the parameters of other algorithms used. The result is a mathematical model for evaluating the parametric characteristics of the work of consensus algorithms with the choice of the most priority one for implementation in the financial sector. The analysis focuses on the mathematical steps taken by each consensus algorithm. The data obtained using the developed mathematical model demonstrates that PoW, PoS, and DAG algorithms depend on various resources, such as computing power, the number of connected nodes, and the speed of receiving transactions.
PREPARATION OF THE FUTURE PRIMARY SCHOOL TEACHER FOR PEDAGOGICAL PRACTICE IN THE CONDITIONS OF DISTANCE LEARNING

The article considers the peculiarities of pedagogical practice by future primary school teachers in terms of distance learning. We characterize pedagogical practice as an original form of education in the process of professional and pedagogical training in higher education, which is aimed at learning the laws and principles of professional activity, mastering the methods of its organization, and thus training future teachers as a professionally competent specialist. We outline the professional and pedagogical training of future primary school teachers for pedagogical practice as a purposeful process focused on the formation of the competence of future primary school teachers to perform professional pedagogical functions in the New Ukrainian School. The purpose, tasks and content of pedagogical practice are revealed, the peculiarities of the organization of distance learning at Pavlo Tychyna Uman State Pedagogical University and the peculiarities of conducting practices during circumstances that make it impossible for students-interns to visit general secondary education are analysed. The article proves that pedagogical practice is the initial stage of practical preparation of students for professional activity, which lays the foundations of practical skills, knowledge of laws and principles of professional activity, mastering the methods of its organization, and thus training future teachers as a professionally competent specialist. We consider educational IT-projects that can be used by students for the purpose of analysis of lessons and educational activities, give recommendations to students-interns on passing pedagogical practice in the conditions of distance learning.&#x0D; Keywords: professional training, pedagogical practice, future primary school teachers, primary school students, educational process, distance learning, online communication, IT-projects.
Indonesia Sign Language Recognition using Convolutional Neural Network

In daily life, the deaf use sign language to communicate with others.However, the non-deaf experience difficulties in understanding this communication.To overcome this, sign recognition via human-machine interaction can be utilized.In Indonesia, the deaf use a specific language, referred to as Indonesia Sign Language (BISINDO).However, only a few studies have examined this language.Thus, this study proposes a deep learning approach, namely, a new convolutional neural network (CNN) to recognize BISINDO.There are 26 letters and 10 numbers to be recognized.A total of 39,455 data points were obtained from 10 respondents by considering the lighting and perspective of the person: specifically, bright and dim lightning, and from first and second-person perspectives.The architecture of the proposed network consisted of four convolutional layers, three pooling layers, and three fully connected layers.This model was tested against two common CNNs models, AlexNet and VGG-16.The results indicated that the proposed network is superior to a modified VGG-16, with a loss of 0.0201.The proposed network also had smaller number of parameters compared to a modified AlexNet, thereby reducing the computation time.Further, the model was tested using testing data with an accuracy of 98.3%, precision of 98.3%, recall of 98.4%, and F1-score of 99.3%.The proposed model could recognize BISINDO in both dim and bright lighting, as well as the signs from the first-and second-person perspectives.
Bioindicator Emerged as a Potential Environmental Marker

In the era of modern science and new technology, mankind is adopting new and novel approaches to deal with the problems.The high population density and urbanization has changed our environment to a polluted one.Its not easy to deal with this problem with complex and costly equipment.Bioindicators are playing a major role in reducing the pollution and to check it timely without any environmental hazard.Bioindicators are the living organism which facilitate in reduction of the environmental pollution.They directly or indirectly determine the amount of pollutants and contaminants present in our ecosystem.They rapidly react to their surrounding environment and give us early warning.These can be used for indexing the health of the ecosystem as well as balancing the ecosystem without any disturbance in food chain.Biomonitoring is one of the promising and cost-effective methods as compared to other techniques.More researches are highly needed to explore the hidden characteristics and many more new species which will help us to build a better and safe environment. Highlightsm Environmental pollution can be checked by using the potential bioindicators which are may be plant, animal or microorganisms.m Being sensitive and specific, these bioindicators react against the slight change of the surrounding environment by increasing or decreasing the population density.m Bioindicators not only restricted as environmental marker, but also widely diversified to help in search of specific species population, natural resources and extinct phylogenetic trend line.
PROBLEMS OF REGIONAL PERSONNEL POLICY IN THE IMPLEMENTATION OF THE NATIONAL PROJECT “CULTURE”

The article is devoted to the improvement of the regional personnel policy in the implementation of the national project “Culture” (2019—2024). The region studied in the article is the Tomsk region. The paper presents the main cultural and leisure and cultural and educational institutions of the region. Passports of regional projects “Cultural environment”, “Creative people”, “Digital culture” were analyzed. The article considers the target indicators, the achievement of which provides for the formation of an effective personnel policy in the field of culture of the Tomsk region; the indicators of the implementation of the plan are presented. The article describes the staffing availability of the cultural sphere in the Tomsk region, identifies the main personnel problems in the field of culture. The analysis is accompanied by statistical data of the Department of Culture of the Tomsk region. On the basis of the results of the research conclusions and recommendations for the development of regional personnel policy in the implementation of the national project “Culture” were made.
Rectangling irregular videos by optimal spatio-temporal warping

Abstract Image and video processing based on geometric principles typically changes the rectangular shape of video frames to an irregular shape. This paper presents a warping based approach for rectangling such irregular frame boundaries in space and time, i.e., making them rectangular again. To reduce geometric distortion in the rectangling process, we employ content-preserving deformation of a mesh grid with line structures as constraints to warp the frames. To conform to the original inter-frame motion, we keep feature trajectory distribution as constraints during motion compensation to ensure stability after warping the frames. Such spatially and temporally optimized warps enable the output of regular rectangular boundaries for the video frames with low geometric distortion and jitter. Our experiments demonstrate that our approach can generate plausible video rectangling results in a variety of applications.
A Comparison of Smart Grids Domain Ontologies

Smart Grids (SG) represent one of the key critical infrastructures. Over time, several ontologies were defined in the SG domain to model aspects such as devices and sensors integration, and prosumers’ communication needs. In this paper, we review the state of the art regarding semantic web reasoning in the domain of SGs. We compare five main ontologies in terms of descriptive statistics (e.g., number of axioms), load time and reasoners runtime performance. Results show that not all the ontologies in the SG domain are readily available, and that some of them might be more appropriate for deployment in devices with limited computational resources.
Supply Chain Optimization of Agricultural Products in The Internet Environment with Blockchain

This paper briefly introduced blockchain and agricultural product supply chain and optimized the agricultural product supply chain with blockchain. Then, an instance analysis was carried out by taking a flour mill in Sichuan Province as an example. The results showed that the supply chain-based agricultural product supply chain could be properly applied to the supply chain management of the flour mill; the supply chain that adopted blockchain technology could effectively resist abnormal data modification and ensure the reliability of supply chain information, and it could also quickly trace the faulty link in the supply chain and improve the efficiency of supply chain management.
SCIENCE TEACHING WITH AUGMENTED REALITY APPLICATIONS: STUDENT VIEWS ABOUT ‘SYSTEMS IN OUR BODY’ UNIT

Many mobile applications have emerged thanks to the technological developments that have taken place today. One of these applications is the augmented (virtual) reality application used on smartphones and tablets. Some augmented reality applications are being prepared using 4D-technology and transforming the virtual environment into real life. The present research is to investigate the views of the students about the use of augmented reality applications with 4D-technology related to the ‘Systems in Our Body’ unit in our 6th-grade science class. This study was conducted using phenomenological method in the scope of qualitative research. In this study, the participants consisted of nine students who volunteered to participate in this research. The data were obtained from semi-structured interviews. The data of the interviews with seven students were recorded on voice recorder and then the data were transferred to the text. The interview data of two students who did not want to record their interviews were written with pen-paper and transcripted. The analysis of the data was carried out by content analysis using the NVivo 9 program. The findings obtained in this research showed that the result of the augmented reality application was that the systems in our body unit is effective in better understanding, increasing the motivation of the students to science lessons and making the lessons fun.
Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimization algorithm

Even though, it is mostly used by process control engineers, the temperature control remains an important task for researchers. This paper addressed two separate issues concerning model optimization and control. Firstly, the linear models for the three different operating points of the heat flow system were found. From these identified models a Takagi-Sugeno model is obtained using fixed membership functions in the premises of the rules. According to the chosen objective function, parameters in the premise part of Takagi-Sugeno fuzzy model were optimized using the grey wolf algorithm. Furthermore, by using the parallel distributed compensation a fuzzy controller is developed via the fuzzy blending of three proportional + sum controllers designed for each of the operating points. In order to evaluate performance, a comparison is made between the fuzzy controller and local linear controllers. Moreover, the fuzzy controllers from the optimized and initial Takagi-Sugeno plant models are compared. The experimental results on a heat flow platform are presented to validate efficiency of the proposed method.