Reviewerly/exHarmony huggingface dataset:
THE USE OF DATA VISUALIZATION IN E-LEARNING SYSTEM

Extensive using of digital technologies in all areas, including education leads to the creation and acquisition of data in a geometric progression, there is a problem of their interpretation and rapid analysis. In particular, the amount of information for monitoring and using the e-learning system in educational institutions is increasing. It`s helps to speed up the perception of information, their visualization, including visualizations of educational materials and some information about educational activities, presented in numerical and textual formats. To visualize data, it is necessary to go through the processes of obtaining, analyzing, filtering, analyzing, presenting, modifying and interacting data. Using tools and technologies of data visualization, teachers can intuitively present materials to applicants, conduct classroom training, pedagogical intervention, assess their knowledge. Students can make a self-assessment, identify their problems in time, and form a system of knowledge and a system of relationships to facilitate the expression and personalization of knowledge. E-learning managers can adjust the goals, methods and strategies of learning management, and make decisions based on this data. The article analyzes the possible options for using data visualization in the e-learning system Borys Grinchenko Kyiv University. It is analyzed how it is possible to use data visualization at different levels of access as students, teachers and administration (including monitors the effectiveness of e-learning and ensuring various educational processes - the availability of electronic courses according to educational / professional / research programs in university departments, their use and certification, analysis of the activity of applicants and teachers, evaluation, etc.).
Generic Simulated Annealing

One of the many problems that are considered to be NP-Hard is the Multiple Sequence Alignment one that initially requires, as for any other of its siblings, a specific encoding schema and design of the main functionalities of the heuristics algorithm being implemented and executed.This paper intends to discuss our proposed generic implementation of the Simulated Annealing, inspired for the procedure of cooling and shaping methods of metals.In our algorithm, we attempted to add some executions tracing functionalities in order to help later analysis for initial parameters tuning.On another hand, we also tried to get closer in our attempt to mimic the cooling of metals, but giving it an option to run under different cooling schedules.We proposed a few schedules that seemed to be studied and/or used in many algorithm implementations.
A Study of Strategies for Data Visualization to Promote Effective Learning for Primary School Students

Effective learning is the key to promoting learning objectives and improving the quality of classroom teaching. Exploring data visualization tools to promote effective learning behaviors and promote classroom reduction and quality improvement has important theoretical significance and practical value. This study is guided by meaningful learning theory and metacognitive theory and uses literary analysis and action research methods. By exploring the occurrence mechanism of effective learning of primary school students, analyzing the role of data visualization in supporting effective learning of primary school students, proposing a general teaching process for data visualization to promote effective learning of primary school students, and initially constructing a strategy framework for data visualization to promote effective learning of primary school students. Then, after two rounds of teaching practice activities, the strategies’ implementation and refinement were carried out to build a strategy application model of data visualization for effective learning of primary school students. The strategy application model emphasizes effective learning goal orientation, based on effective learning processes, and facilitates effective learning through visual representation of data. This study examined the effectiveness of the application of the strategy using the effective learning assessment system for primary school students, and the results confirmed that the strategy had a significant contribution to both the process and outcome of effective learning for primary school students.
Formation of university students’ positive motivation for foreign languages learning

The proposed research is aimed at identifying teaching methods that motivate students to study foreign languages.It is noted that the prerequisites for success in learning foreign languages are positive motivation, deep interest, perseverance in performing tasks.It is emphasized that motivation is based on needs, professional interests, ideals, values, moral beliefs of students, as well as due to the creation of the European Higher Education Area.It should be taken into account that the nature of foreign language professional competence is related to personal motivation, which can provide optimal results in solving professional and personal problems.Accordingly, when learning foreign languages, motivation to learn becomes important, which gradually ensures the formation of a motive that turns into action -the professional activity.Research shows that in order to form a support and maintain learning motivation, it is necessary that the learning process meets the goals set primarily by students.In the course of the reseach it was generalized that the organization of purposeful formation of university students' positive motivation for foreign languages learning is influenced by external and internal factors that can be provided through the implementation of innovative forms, methods and technologies of higher education.It is also affirmed that interactive teaching methods are the most effective in forming students' positive motivation.Thus, the use of these methods of teaching and education contributes to awareness of the importance of a foreign language knowledge, responsibility for the effectiveness of joint foreign language activities in the group, the formation of self-esteem in future foreign language professional situations.It should be emphasized that needs and interests are an important source of motivation.Based on professional and proven experience, the authors argue that a prerequisite for the formation of positive motivation is the optimal balance of knowledge and skills needed for learning a foreign language.
Talking about the Management of Higher Education Under the Concept of Innovative Education

Nowadays, as the main front of talent training, colleges and universities have a direct impact on the level of talent training.Based on the new era, it is important to innovate education management with innovative educational concepts as the guiding ideology, so it is necessary to fully consider the relationship between schools and students, explore potential problems in the process of education management, and actively solve them with innovative educational concepts.
Adoption of Blockchain in Enterprise Computing

Nowadays, enterprises require more security because it integrates with national and geographical boundaries. Reaching the security level in the traditional way of noting the progress of the business is not a feasible solution. Many of the enterprises use IT technologies to improve profit. To achieve security in the business cycle, blockchain provides a prominent solution. As well as, blockchain can help to identify faulty ends. Blockchain also provides facilities to select public or private blockchains as per requirement. In this chapter, we have defined the enterprise computing and the use of the blockchain in enterprise computing. Various actors and components of blockchain solutions are also discussed in detail. The scenario of the blockchain in the enterprise is explained with a digi locker, and supply chain management case study. The possibilities of adapting blockchain in today’s buzzing enterprises are addressed as well.
From the Experience of Implementing the Project «Information Culture at School»

The work is aimed at studying the issue of the need to introduce the course “Information Culture” into the curriculum of the main educational program — in that part of it, which is formed by the participants in educational relations. The course is the result of a project to form the information culture of schoolchildren in grades 5–9. The project has been implemented since 2019. The results of surveys of students and their parents are presented. The results show what basic skills of working with information, information processes students in grades 5 and 7 owned before the project was implemented. And also, what are the interim results obtained during the past three years. The organizational and technical conditions necessary for inrtoducing this course are considered. Data are given that indicate the need to carry out activities aimed at the formation of an information culture in the school — starting at least from the fifth grade. The problems that arise on the way to the implementation of a school project on the formation of a student’s information culture are considered. Much attention is paid to technological factors. contributing to the process of information culture formation. The terminological features of the concepts of “information culture”, “information literacy” are considered and arguments are given in favor of the need to introduce the course “Information culture”, and not “Information literacy”, “Technical literacy” or “Functional literacy”.
The use of distance learning technologies at the university in the new reality

The purpose of the paper is, on the basis of empirical research, to identify problems and growth areas in the field of effective use of distance learning technologies in universities in the context of COVID-19. The authors used theoretical and empirical research methods: literary analysis, generalization, methods of descriptive statistics. The main method for collecting empirical data is to survey students’ opinions. The study involved 1578 students from more than 70 Russian universities. The authors substantiated the problems and opportunities for learning with the use of distance learning technologies. The paper shows not only the current difficulties of learning in an online format, but also identifies their main advantages. It presents the change in the attitude of students to the online format of education for a period of 1 year, their vision of the effectiveness of distance learning technologies in higher educational institutions. The authors substantiated the objectivity and reliability of the results obtained through their correlation with the results of similar studies conducted by scientists in various countries. The materials of the article can be useful for university teachers implementing the curriculum of disciplines using distance learning technologies, as well as for all those interested in higher education issues.
Research on the Reform of "Three Education" in Higher Vocational Colleges Under the Promotion of "Double High" Construction

Implementing the national vocational education reform implementation plan to build high-level vocational schools with Chinese characteristics and specialty construction plan is an important measure to cultivate high-quality technical and skilled talents. The reform of "three educations", namely the reform of teachers, teaching materials and teaching methods, is the key link in the implementation of the construction of "double highs". Fully understanding the significance of the "three education" reform and grasping the implementation path will help to cultivate high-quality technical talents and promote the high-quality development of higher vocational colleges.
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark

The paper introduces a new dataset to assess the performance of machine learning algorithms in the prediction of the seriousness of injury in a traffic accident. The dataset is created by aggregating publicly available datasets from the UK Department for Transport, which are drastically imbalanced with missing attributes sometimes approaching 50% of the overall data dimensionality. The paper presents the data analysis pipeline starting from the publicly available data of road traffic accidents and ending with predictors of possible injuries and their degree of severity. It addresses the huge incompleteness of public data with a MissForest model. The paper also introduces two baseline approaches to create injury predictors: a supervised artificial neural network and a reinforcement learning model. The dataset can potentially stimulate diverse aspects of machine learning research on imbalanced datasets and the two approaches can be used as baseline references when researchers test more advanced learning algorithms in this area.
Novel Approach to Abstract UML Use Case Diagram from Input Java Program

This paper proposes a novel approach to abstract the unified modeling language (UML) use case diagram from input Java program. The proposed methodology first restructures the input program and then abstracts the object class features such as class name, object name, attributes, operations, and relationships. Further, the abstracted information is stored in the table called as class table. In the next step, the class table and the restructured Java program are taken as an input for the abstraction of the actors, use cases, and various relationships such as includes, extends, and generalization. The scope of the research work is restricted to object-oriented programming, hence Java programming language.
Corpus-based study on syntactic complexity of texts by L1 and L2 learners

Based on 90 argumentative texts from the corpora of LOCNESS and WECCL, the paper attempts to make a study of the syntactic complexity of those texts. All the data are processed online by the Web-based L2 Syntactic Complexity Analyser, and then processed with the corpus tool AntConc and IBM SPSS Statistics 20. The findings include: for one thing, L1 learners use more complex sentences with more verb phrases, and more embedded clauses, in their writings, compared with L2 learners. For another, in writing L2 learners may use dependent clauses with longer size than those by L1 learners despite the L1 learners tend to use sentences embedded with dependent clauses more often. Finally, some pedagogical suggestions are made on how to improve L2 writing course teaching.
SUSTAINABLE BUSINESS MODELS, AND EFFECTS OF SMART GRIDS DEVELOPING

The article is devoted to studying sustainable business models and the effects of building "smart" grids. To achieve this goal, we used a scientific review of literature sources from the Scopus® database for 2017-2021. In the course of the research, a sample of 3540 publications on the topic SciVal T.8491 "Business Model Innovation; Sustainable Business; Digital Transformation. " The results of the scientific review highlight and analyze the most active identified institutions and authors who have published work in sources indexed by the Scopus® database on the topic SciVal T.8491. The fundamental directions of research of sustainable business models are identified, which are closely connected with the investigation of digital business models, industry 4.0, cloud technologies, the Internet of Things, directions of adaptation, and dissemination of sustainable business models. In the context of smart grids, sustainable business models are considered from the study of distributed generation, various decentralized energy technologies, from demand management technologies to energy storage technologies in the system. The authors evaluate and prove the effectiveness of the construction of virtual power plants, the possibility of integration into a single system of distributed energy resources and energy storage systems, describe the methodology of operation and control of microgrids given the massive deployment of smart grids. They carry out systematization of business models of smart networks based on the Internet of Things; offer approaches to deploying smart grids based on blockchain technology. This article discusses the environmental and economic effects of smart grids deploying. Thanks to the results of a scientific review of sustainable business models and the effects of building "smart" grids, current energy market players have the opportunity to consider current requirements for the operation of smart grids and, if necessary, revise their business models. Deploying smart infrastructure improves the country's energy independence, achieves targets for the use of alternative (renewable) energy sources, and increases the country's energy security while reducing import dependence on energy resources.
Two-Tier Load Balancer as a Solution to a Huge Number of Servers

High number of users, connected devices and services on the Internet producing high traffic and load on the web servers causes a degradation of the quality of Internet services. A possible solution to this problem is to use a cluster of web servers. The cluster requires a load balancer to provide scalability and high performance of the services offered. The main load balancer is the only entry point to the server cluster in this architecture. In this paper, the researchers propose a two-tier load balancer rather than a single one to achieve more scalability and reduce the load on the main load balancer. The study also compared three features, Response Time Average, the load balancer CPU Utilization, and Servers’ CPU Utilization. The comparison uses three algorithms (Round Robin, Number of Connections, and Least Load) through two experiments. The results concluded that the Multi-Tier Load Balancing method offered better CPU utilization than a Single-Tier Load Balancing method for Round Robin and Server Load algorithms. However, the Single-Tier Load Balancing method provided better response time for all three algorithms. Moreover, the Round Robin and Server Load algorithms using a Multi-Tier method balanced the CPU utilization for all servers. This result shows the Multi-Tier method handles huge traffic and large number of servers with better CPU utilization.
Length of Stay Prediction of Patients Suffering from Different Kind of Disease to Manage Resource and Manpower of Hospitals

The sole purpose of this research is to explore the usage of deep neural network techniques and implement a model for predicting the length of stay of patients getting admitted to medical healthcare. In our research, we have compared the severity of various diseases rather than focusing on a single type of disease, which makes this research different from already existing studies. The research throws limelight on previous works on length of stay (LOS) prediction and different approaches of multiple authors on the same. The discussed model is broadly based on three sub criteria which acts as a starting parameter to the prediction model, which first classifies LOS of different patients suffering from different disorders; label them into three categories based on LOS namely <20 (mild), 20–50 (severe non-fatal), >50 (extreme fatal), based on the LOS category of the patient the management authority and healthcare provider can easily calculate the usage of various different utilities, sporadically available equipment and manpower and allocate them accordingly.
First Steps Towards 3D Pedestrian Detection and Tracking from Single Image

Since decades, the problem of multiple people tracking has been tackled leveraging 2D data only. However, people moves and interact in a three-dimensional space. For this reason, using only 2D data might be limiting and overly challenging, especially due to occlusions and multiple overlapping people. In this paper, we take advantage of 3D synthetic data from the novel MOTSynth dataset, to train our proposed 3D people detector, whose observations are fed to a tracker that works in the corresponding 3D space. Compared to conventional 2D trackers, we show an overall improvement in performance with a reduction of identity switches on both real and synthetic data. Additionally, we propose a tracker that jointly exploits 3D and 2D data, showing an improvement over the proposed baselines. Our experiments demonstrate that 3D data can be beneficial, and we believe this paper will pave the road for future efforts in leveraging 3D data for tackling multiple people tracking. The code is available at ( https://github.com/GianlucaMancusi/LoCO-Det ).
FEATURES OF EFFECTIVE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN BIOLOGICAL EDUCATION

Мақалада мектепте биологияны оқытуда заманауи білім беру жүйесінде заманауи техникалық құралдарды жүйелі қолдану тереңдей қамтылады. Қазіргі біздің ғасыр – ақпаратқа толы ғасыр, яғни ақпараттық технологиялардың дамуы дәуірінде, еліміздің болашағы – жас ұрпаққа заманауи білім беруді қамтамасыз ету және жан-жақты дамуға жәрдемдесу үшін оқытушыдан шығармашылық ізденісті, үлкен сұранысты талап етеді. Қазіргі уақытта білім беру саласында кадрлар даярлауды заманауи техникалық құралдардың көмегінсіз ұйымдастыру мүмкін болмайды. Сол себептң, қазіргі білім беру жүйесіндегі маңызды мәселелердің бірі де бірегейі оқытуды толығымен ақпараттандыру, яғни білім беру үрдісінде ақпараттық технологияны қолдану болып саналады. Оқытудың кез-келген технологиясы іс-әрекеттің белсенділігін жоғарылатуға, оқу процесін арттыруға, сонымен қатар, тұлғаны жетілдіруге, дамытуға бағытталған. Сонымен қатар, мақалада білім беру мен тәрбие жұмысына жаңалық енгізу, жаңа әдістемелік тәсілдерді, жабдықтарды, жаңа тұжырымдамаларды құру және оларды қолдану толық жеткізіледі. Биологияны оқытуда заманауи техникалық құралдар, атап айтқанда, аудио, медиа, видео құралдар, сонымен қоса, инновациялық әдістер арқылы жүргізілген сабақтың әдістемесінің тиімділігі мақалада көрсетілген.
Research on Teaching Reform of C Language Course under the Engineering Education Certification

In the background of engineering education certification, aiming at the problems of C language curriculum, following the principle of results-oriented, this paper puts forward the research of C language curriculum teaching reform based on OBE concept.In view of the deficiency of C language curriculum under the traditional education method, reform measures are put forward in three aspects of teaching mode, ideological and political elements and assessment, and the reform results are described.It aims to further optimize C language course teaching and improve teaching quality through the teaching research of C language course.
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering

Prompt-based learning, which exploits knowledge from pre-trained language models by providing textual prompts and designing appropriate answer-category mapping methods, has achieved impressive successes on few-shot text classification and natural language inference (NLI).Because of the diverse linguistic expression, there exist many answer tokens for the same category.However, both manual answer design and automatic answer search constrain answer space and therefore hardly achieve ideal performance.To address this issue, we propose an answer space clustered prompting model (ASCM) together with a synonym initialization method (SI) which automatically categorizes all answer tokens in a semantic-clustered embedding space.We also propose a stable semisupervised method named stair learning (SL) that orderly distills knowledge from better models to weaker models.Extensive experiments demonstrate that our ASCM+SL significantly outperforms existing state-of-the-art techniques in few-shot settings.