Reviewerly/exHarmony huggingface dataset:
Pedagogical conditions for the formation of the reflexive component of the professional and pedagogical culture of students-teachers

Introduction . This article presents reflection as a personal resource that allows a teacher to determine their own professional development pathway, taking into account the dynamic conditions of professional reality. Purpose setting. The aim of the study is to identify pedagogical conditions for the formation of the reflexive component of the professional and pedagogical culture of the students-teachers. Methodology and methods of the study . The article presents the results of the analysis of scientific literature on the problem of development of professional and pedagogical culture of a teacher, and the reflexive component of this culture; and also, the results of modeling the educational process and experimental work to identify the effectiveness of the model. Results . The article reveals the pedagogical conditions for the formation of the reflexive component of the culture at issue among student-teachers. A set of methodological, methodical, personal conditions presupposes to organize educational process on the basis of activity-based, axiological and personal approaches in pedagogy. The implementation of these approaches should be carried out taking into account: a systemically differentiated approach to the interpretation of the term «reflectionˮ; activation of students’ reflexive activity, and creation of emotionally safe conditions for its implementation; application of heuristic teaching methods; actualization of the personal significance of the subject matter for students. The article presents a model for implementation of the considered pedagogical conditions in the educational process of a pedagogical university. The model includes conceptual, target, organizational, reflexive-effective components and an assessment instrument for diagnosing the level of formation of the reflexive component of the student-teachers’ professional and pedagogical culture. The article provides a description of the experimental work to verify the effectiveness of this model and the productivity of the considered pedagogical conditions. Conclusions . The research materials open up new sides in the study of problems related to the development of a teacher’s professional and pedagogical culture and offer a systematic solution to the problem of forming a reflexive component of the culture at issue of pedagogical university students.
Provide a framework for problem statement in the organization's research: an AHP, ISM, and MICMAC approach

The aim is to provide a framework for statement organizational research problems. State the problem is the most important reason for the researcher to choose the subject. Although research has been done on the characteristics of expression of research problems, but in organizational research, no framework for expressing the problem has been provided. The method used in this research is grounded theory followed by the ISM-MICMAC approach for modelling. The findings of this study identify the components of problem statement in organizational research and modelling them. Due to the large number of indicators, first nine indicators of higher importance were identified, which had much more weight than other indicators. These indicators were then compared and prioritized again by other experts. Based on the level of importance of these indicators, a model is presented and it is determined what position each of these indicators is in terms of Degree of dependence and Influence rate. The researcher can easily use this information to provide an acceptable problem statement and the editors will have a good assessment tool.
Construction of Knowledge Graph Based on Readers' Comments in University Library

As an important tool for the communication between the readers and the library, the message board of the university library is an information exchange and feedback platform built by the library in order to promote the mutual communication, understanding, understanding and trust between the readers and improve the quality of library service. The readers' message data presents the characteristics of large amount of data and poor correlation with each other, which belongs to the weak structure data. It is difficult to directly analyze the existing problems and relevant improvement strategies of university library. This paper analyzes 8,443 messages in the message boards of “Project 211” universities. Using TextRank to obtain entities, relations and attributes from message text, this paper proposes a knowledge graph construction framework for message board, and analyzes the knowledge graph. It verifies the feasibility of using this method to construct knowledge graph for message data, and provides a new research method for the visualization and mining of message data in university library.
APPLICATION OF THE GROUP DISCUSSION METHOD IN THE TEACHING OF INFORMATICS DISCIPLINES IN PROFESSIONAL EDUCATION INSTITUTIONS

The article describes the method of applying the group discussion method in vocational and technical educational institutions using the example of computer subjects. The modern process of education is analyzed, which involves, among one of the important tasks, a significant expansion of the forms of educational activity of students. Characteristics of teaching methods are given. The theoretical principles of the educational process, which should be built as communication, interaction, exchange of initiatives of its participants – the teacher and students, students among themselves, are highlighted. This is how the educational process is built when using group, interactive (based on interaction) learning methods – discussion, role playing, simulation game. Emphasis is placed on group discussion – the most common method. The main task of the group discussion is revealed – the identification of the existing diversity of viewpoints of the participants on any problem and, if necessary, a comprehensive analysis of each of them using the example of computer topics. It has been proven that organized training and upbringing, carried out within the framework of one or another pedagogical system, has a certain organizational design, which differs from each other in the quantitative coverage of students, the ratio of collective and individual forms of organization of the activities of pupils, the degree of their independence and the specificity of the management of the educational process from the teacher A practical example describes the stages of conducting a discussion class, which helps students develop basic communication skills, develops their thinking and oral speech, and at the same time, they master oratory skills and the skills of evidentiary dispute, and their interest in computer topics increases. The author's development of a plan-summary of a lesson-discussion for vocational and technical educational institutions on the topic «Book and computer in the information society: pros and cons» is offered. This research is not final, so we plan to continue the publications, where we will reveal in more detail the practical aspects of the application of the group discussion method in vocational and technical educational institutions using various examples. Key words: educational process, group discussion method, in institutions of professional (vocational and technical) education, computer technologies.
Rp,q-multivariate discrete probability distributions

We construct the multivariate probability distributions (Pólya, inverse Pólya, hypergeometric and negative hypergeometric) from the generalized quantum deformed algebras. Moreover, we derive the corresponding bivariate probability distributions and determine their properties (Rp,q-factorial moments and covariance). Besides, we deduce particular cases of probability distributions from the quantum algebras known in the literature.
The Implementation of the Project "Camp School-Garden" for Indigenous Peoples' Children of the North (Results of Monitoring in 2022)

This article presents the preliminary results of sociological monitoring for 2022 related to the implementation of the pilot project "Camp School-garden" for primary education for children from among the indigenous peoples of the North living in remote areas of traditional nature management. The subject of the study is the problem of actualization of new forms of preschool education in the Khanty-Mansiysk Autonomous Okrug – Yugra, using remote information and educational technologies. The purpose of the study is to identify the level of conditions for the development of a new form of preschool education by children from among the indigenous small-numbered peoples of the North living in remote territories and unable to attend a preschool educational institution. According to the results of the study, taking into account the totality of individual positive indicators, conclusions are drawn about the relevance of the pilot project "Camp school-garden": satisfaction with the quality of educational services, positive choice of children, timely receipt of information about tasks, etc. At the same time, less positive and even negative indicators are indicated, which should be taken into account for the further implementation of the project: not always high-quality and acceptable operation of the Internet, a difference of opinion about the organization of distance learning on the project, etc. It is proved that the implementation of the project "Camp School-garden" can contribute to the mitigation of the revealed discrepancy between the forms of basic education and the peculiarities of life associated with traditional environmental management in remote areas through the systematic introduction of new information and educational technologies.
Trends in Argumentation Logic

Abstract In this paper, we introduce the subject of the special issue Trends in Argumentation Logic . Here we mainly describe two approaches to argumentation logic with explicating monotonic and non-monotonic, or defeasible, reasoning and explain the role of artificial intelligence in applying argumentation logic. Then we give a short overview of the papers contributed to the special issue.
Identification and Clustering of Template Texts in the Large Arrays of Messages

A lot of services are using short messages for various purposes today, for example, stores are sending promotional offers, and EMERCOM of Russia informs population in the event of a threat of natural and technogenic emergencies. Selecting short texts of the template messages from general traffic could be used to filter spam and mailings, as well as to protect users from fraudulent activities. Such arrays of messages are often reaching such a large size that their storage and processing on a single dedicated personal computer or server becomes practically impossible. This work aims at developing approaches to the efficient identification and clustering of the template texts from large arrays of the short messages using the Apache Spark framework for distributed processing of the unstructured data. Main approaches to identifying templates and clustering textual information are considered. Approaches were developed making it possible to cluster in large arrays of messages using distributed computation without preliminary acquisition of the text vector representations. Algorithms are provided for efficient identification of the template messages from large arrays of short texts. Algorithms were compared in terms of performance and quality of pattern identification
ARTE TÁTIL: IMPRESSÃO 3D PARA INCLUSÃO DA PESSOA COM DEFICIÊNCIA VISUAL NAS AULAS DE ARTE

The paper reports actions of an extension project, for visual impaired students inclusion in Arts classes.For that, a multidisciplinary team from IFSC Criciúma used additive manufacturing techniques to contribute to the success of the teaching-learning process.The methodological itinerary covered visual impairments, application of special education and technologies for inclusion; selection of art works, ; conversion of paintings into three-dimensional works; observation of effectiveness from the student's report; analysis and synthesis of the information obtained.Finally, results obtained are presented.
Chatbots in Museums: Is Visitor Experience Measured?

Abstract Chatbots are rapidly growing application area of conversational artificial intelligence. The aim of the paper is to explore the evaluation of user experience with chatbot applications in museums and galleries. Introduction to principles of chatbots, their creation and testing is provided. Methods of user experience evaluation are explained and the indicators that can be used to assess user experience with chatbots are listed. History and classification of museum chatbots is briefly summarized. A systematic review according to the PRISMA methodology was conducted to map the latest trends in museum chatbots’ development and namely to answer two research questions: (1) What chatbots have been developed for the needs of museums and galleries? and (2) Was the visitor experience with these chatbots evaluated? The research gap in measuring visitor experience with chatbots was identified.
Markov blanket-embedded PSO algorithm for Bayesian network structure learning

In the Bayesian network (BN) structure search process, due to the uncertainty of the initial population, the learning efficiency in the structural optimization process is reduced, and the convergence speed is slowed down. We propose a Markov blanket-embedded particle swarm optimization (PSO) algorithm for BN structure learning in our research. In particular, the efficient and effective discovery of the Markov blanket method is used to obtain the undirected network framework. A local topology is established for each node to implement the initialization. Parameter adaptive adjustment is carried out through an improved PSO algorithm. Initial population distribution information is adjusted through Algorithm parameters. For improved structure, a search efficiency mutation mechanism is added for increased diversity. The experimental results show that our algorithm can get better search accuracy and faster convergence speed than other algorithms.
Improving the system of scientific and methodological support of libraries of scientific institutions of the Ural Branch of the Russian Academy of Sciences

The purpose of the article is to identify ways to develop the system of scientific and methodological support for the work of structural divisions of scientific institutions of the Ural Branch of the Russian Academy of Sciences (UB RAS) (libraries, departments, sectors) that provide information and library support for their activities. The scientific and methodological center for libraries of scientific institutions of UB RAS is the Central Scientific Library of the Ural Branch of the Russian Academy of Sciences (CSL UB RAS). To determine the priority directions of development of CSL UB RAS in the fi of scientific and methodological support of the network libraries, the analysis of the main indicators of their activities in the period from 2017 to 2021 was carried out. It revealed a steady decline in the indicators of library visits in stationary conditions, a decrease in the receipt of literature on physical media, an increase in the issuance of documents (mainly electronic documents from remote full–text databases) and an increase in applications in the distant format. Based on the data obtained and taking into account current trends in the fi of information support for science, the priority directions of CSL UB RAS activities developing the scientific and methodological support system for network libraries have been formulated. The implementation of these directions will ensure the effective use of the aggregated collection of libraries’ printed publications, the joint development of electronic sources of foreign scientific information, the organization of effective information services using remote technologies, the development of scientific libraries’ personnel potential, taking into account current trends in the information infrastructure of science. Strengthening system links within the network of libraries of UB RAS scientific institutions will become one of the components for building an effective system of cooperation and coordination of libraries of the Russian Academy of Sciences.
AUTOMATION OF A NETWORK OF PROBLEMS USING PROGRAMMING TOOLS

One of the directions of development of metadata of electronic libraries is their selective visualization with the provision of object search in the visual network representation of metadata. One of such systems is also developed by the author of EaAIS “PoiskUM”. In the “PoiskUM” system, an attempt has been made to programmatically implement an electronic library designed for personal use and providing object search functions. In contrast to the classical dictionary search, the object search system provides the reader with the opportunity to fully or partially search through the elements of the library collection and “identify” the desired objects among them on the basis of search features located in cognitive memory. In this system, the user can see a complex network consisting of a network of scientific and technical problems on the computer screen, a network of innovative cycles of technical products related to the problems shown, and a network of library documents. This network is visualized by a representative of a special class of applied software systems – a graph editor. The graph editor builds network elements in its memory in the form of objects and shows them in its windows in the form of a table displaying the attributes of objects. Maintaining and developing the functions of replenishing the network of problems require significant manual labor from the owner of the electronic library. This article discusses proposals for automating the replenishment of structural elements of the network of problems in relation to the metadata of an electronic library that supports object search.
Perancangan Web E-Commerce Dengan Menggunakan Pendekatan WISDM

Cahaya Konveksi Shop is an industry that manufactures apparel, such as t-shirts, polo shirts, shirts, training pants, jackets, and so on. On a normal day the Cahaya Konveksit Shop can produce 100-500 t-shirts in a day, while at the beginning of the semester or new student registration at school, Cahaya Konveksi Shop can produce 500-1000 t-shirts in a day because many schools make uniform t-shirts for students new. The problem found from this store is that there are many competitors who have just started the same business as the Cahaya Konveksi Shop, which has an impact on reducing the number of orders. With this situation, stores are required to make innovations in service to consumers. The application of web-based E-Commerce is one solution to this problem. In the system there is also the WISDM Method (Web Information System Development Methodology) which is a method in system development that aims to make a program quickly and gradually so that it can be immediately evaluated by the user. In addition, WISDM also makes the process of developing information systems faster and easier, especially when user needs are difficult to identify. With this website, Cahaya Konveksi Shop has superior value that its competitors do not yet have, by adding features that can make it easier for sellers and buyers to do business. The result of this research is to create a web-based e-commerce information system at the Cahaya Konveksi Store
Analisa dan Penerapan Metode Algoritma K-Means Clustering Untuk Mengidentifikasi Rekomendasi Kategori Baru Pada List Movie IMDb

IMDb (Internet Movie Database) is a comprehensive website that offers information about movies from all over the world, as well as various information about director, actor, actress, and writer biographies and award nominations. Visitors to the IMDb website can browse ratings and reviews based on the movies they plan to watch. Top 250 Movies and Most Popular Movies are two categories on IMDb. Because the results of the highest rating and the largest votes are only displayed based on the highest order of votes or ratings, the two existing categories are judged less useful and irrelevant to the suggestions for visitors to choose and decide on a film. This is due to the results of the highest rating and the most numerous votes, as determined by the highest ruling on either the votes or the rating. As a result of this, data mining with the K-means clustering algorithm is used to geolocate data in order to view data and accuracy using Davies-Bouldin Index (DBI) to combine ratings and votes with average approach to determine the centroid. Based on the results of this study, it is concluded that the DBI population with the highest accuracy is Cluster K=2 with population 509, with a score of 0.456, based on the voting and rating information, it can be deduced that a new category of movies called Best Recommended Movie is being recommended to potential moviegoers on the imdb.com website.
Recommender System Movie Netflix using Collaborative Filtering with Weighted Slope One Algorithm in Twitter

Movies are entertainment that many people enjoy filling their spare time. After watching a movie, people usually write reviews about the movie on social media such as Twitter. As the number of movies grows, a recommendation system is created, which is useful for finding movies they might like based on the movies they have seen. This study developed a movie recommendation system using Collaborative Filtering (CF) with the Weighted Slope One (WSO) algorithm. The dataset used is taken from tweet data on Twitter. Then the tweet dataset is converted into a rating value which will later be used in the recommendation system. This study uses Mean Absolute Error (MAE) to measure accuracy. In Collaborative Filtering, the system gets the best MAE of 0.924. Then for Weighted Slope One, the system gets the best MAE of 0.568.
DC4: Reconstructing Data-Credit-Coupled Congestion Control for Data Centers

Congestion control is crucial for the overall performance of data center networks and still faces considerable challenges. Recently, credit-driven congestion control has been emerging to enable precise flow control for current high-speed and highly dynamic data centers. However, existing credit-driven methods essentially separate credit and data packets, i.e., credits can fully regulate data packets, but they receive little feedback from the data packets. Accordingly, these approaches inevitably struggle with lossy credits and impaired throughput. To address the issue, we present data-credit-coupling congestion control named DC4. For a better understanding of the relationship between data and credit, we revisit the principle of credit-based congestion control and make the first attempt to explore the art of presenting the data-credit plane architecture. Based on the proposed data-credit framework, DC4 transforms the interaction between credit and data packets from one-way control to two-way coordination to achieve mutual benefits and dynamic balances between the credit and data packets. We conduct extensive experiments to evaluate the performance of our design and compare it with state-of-the-art protocols, including HPCC, ExpressPass, and Aeolus. Experimental results show that DC4 outperforms data-credit-separated approaches in terms of the flow completion time, throughput, and credit waste.