Reviewerly/exHarmony huggingface dataset:
Robust Recommendation via Social Network Enhanced Matrix Completion

Robust product recommendation is crucial for internet platforms to boost their businesses.One challenge though is that the user-product rating matrix often has many missing entries.Social network information generates new insights about user behaviors.To fully utilize the social network information, we develop a novel approach, namely MCNet, which combines the random dot product graph model and the low-rank matrix completion to recover the missing entries in the user-product rating matrix from the internet platform.Our algorithm improves the accuracy and the efficiency of recovering the incomplete matrices.We study the asymptotic properties of the estimator.Furthermore, we perform extensive simulations and show that MCNet outperforms the existing approaches, especially when data have small signals.Moreover, MCNet yields robust estimation under misspecified models.We apply MCNet and the competitors to predict the missing entries in the user-product rating matrices on the Yelp and Douban movie platforms.MCNet generally gives the smallest testing errors among all the comparative methods.
Program for the Development of Musical Culture of Students of Secondary School Age in the Folk Instrument Class

The development of the musical culture of the individual remains one of the most important actual problems at the modern stage of the development of pedagogy. Ways to develop the musical culture of modern schoolchildren engaged in institutions of additional education in the class of folk instruments were identified in the course of work, based on the analysis of scientific research in the field of musical culture. However, in scientific and pedagogical literature, insufficient attention is paid to the program for the development of musical culture, which would include all carefully considered components of the educational process and thereby ensure the effectiveness of this process. The article presents a similar program, developed and tested during experimental and practical pedagogical activities in the class of folk instruments. The work also presents indicators and criteria for assessing the formation of musical culture among students of secondary school age in the class of folk instruments.
Nilai-Nilai Pendidikan Karakter Tokoh Dalam Novel Gunung Ungaran Karya Nh. Dini

This research was motivated by the problem of being able to find the values of character education in the novel Gunung Ungaran by Nh. Dini. The purpose of this study is to describe the values of character education in the novel Gunung Ungaran by Nh. Dini. This research is a qualitative research using content analysis method. The object of this research is the novel Gunung Ungaran by Nh. Dini. The data in this study are words, phrases, sentences and discourses which are the values of character education. The data source in this research is the novel Gunung Ungaran by Nh. Dini. The data techniques used are reading novels, marking data related to the value of character education, recording data, making inventory, and classifying. The results of this study indicate that there are ten values of character education found in the novel Gunung Ungaran. In addition to the value of character education, other character education values are also found, such as: 1) religious, 2) Tolerance, 3) Work hard, 4) Independent, 5) Curiosity, 6) Love the homeland, 7) Friendly/communicative, 8) Caring for the environment, 9) Social care, 10) Responsibility.Keywords: Education, Character, Novel.
Solve the Problem of Chess Board in the Shape of the Letter L with Three different Patterns Using Artificial Intelligence &amp; Algorithms

In recent years, the chess game has begun to develop successful programming solutions. Computers were programmed to play chess in the middle of the twentieth century. Computer skills have become better and higher than the skills of chess players in the world, and from here this study has made it possible to find the optimal solution for the four square pieces in the form of a letter (L) without repetition and quick access to fill the sites and voids and to complete the entire area. It is our task to cover a (2n×2n) Chessboard with L-shaped tiles each tile is a (2×2) square with a (1×1) square removed from one corner. We are working to cover the Chessboard in such a way that there is a single 1×1 box left in the ‘corner’ of the Chessboard (by the 'corner' we mean one corner of the box should be uncovered). In this task, we will solve this problem with three approaches, the C programming approach, the second by dividing and conquering approach and the last by a greedy method approach. Three algorithms were used and a comparison was made between them, and the fastest method was achieved by a greedy method, with eight cases comparing one and four cases, respectively.
Peer Review Declaration Form

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Describe criteria used by Reviewers when accepting/declining papers. Was there the opportunity to resubmit articles after revisions? Reviewers used following criteria when accepting/declining papers : scientific merit (notably scientific rigour, accuracy and correctness); clarity of expression; communication of ideas; readability and discussion of concepts; sufficient discussion of the context of the work, and suitable referencing; originality; motivation; repetition, length of paper; presentation criteria (title, abstract, diagrams, figures, tables and captions, text and mathematics; conclusion) • Conference submission management system : https://uconfy.com/ • Number of submissions received : 146 • Number of submissions sent for review : 146 • Number of submissions accepted : 78 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 78/146=0.53 • Average number of reviews per paper : 2 • Total number of reviewers involved : 10 • Any additional info on review process : Plagiarism check system was used • Contact person for queries (Full name, affiliation, institutional email address) Vladimir Vishnevsky, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, 65 Profsoyuznaya street, Moscow 117997, Russia, vishn@ipu.ru
The Utilization of Modified Listen-Read-Discuss Strategy to Teach Reading Comprehension

This research was quantitative research and considered as true experimental. The objectives of the research were to find out whether modified Listen-Read-Discuss technique can be used to improve students’ reading comprehension better than original LRD or not and the reading aspect that improved the most after the students received the treatments. The sample of this research was 35 students in control class and 34 students in experimental class. The data of this research was collected through reading test. After the data were collected, the researcher used independent t test to analyze the data. From the analysis, it was found that the original and modified LRD were able to improve reading comprehension significantly and modified LRD technique enabled the students to improve their reading better than original one. The last finding of this research was determining reference the most improved reading aspect in experimental class while finding specific information was the most improved aspect in control class. In short, modified LRD technique can enhance students’ reading comprehension better than original one since it added outlining strategy which arranged information based on concept. Keywords: Listen-Read-Discuss, Modified Listen-Read-Discuss, Reading Comprehension..
THE STRUCTURAL COMPONENTS OF PROFESSIONAL SELF-CONSCIOUSNESS OF FUTURE SPECIALISTS

An important condition of the effective process of professional personal development is professional self-consciousness. It manifests in various forms related to the cognitive, emotional and volitional aspects of human mental activity.The educating process of professional self-consciousness is complicated and controversial. It involves many factors, the action of which can often lead to opposite consequences.The purpose of the article is a theoretical analysis of the structural components of professional self-consciousness, definition of the formational stages and evaluation criteria.Professional self-consciousness is a complex mental formation of a person, which is self-awareness of involvement in the profession, encourages professional self-realization and orients the person to active work in the professional field.We can distinguish three stages of professional self-consciousness formation: the stage of early professional self-consciousness that develops during the game (childhood), adolescent professional self-consciousness, characterized by prioritization in choosing future profession (middle and senior school age) and the stage of mature professional self-consciousness (university period, professional activity).The formation of professional self-consciousness at these stages is quite conditional because not every child has professional preferences. Every person following appropriate work can simultaneously form traits that reflect the characteristics of different stages of professional self-consciousness.We can distinguish three main criteria of different levels of professional students self-consciousness: cognitive, motivational-valued and activity-practical, which reveals the presence or absence of certain features that characterize professional self-consciousness.These criteria for assessing the levels of professional self-consciousness make possibility to establish the degree of presence of certain personality traits that are indicators of professional self-consciousness of each phenomenon component: a personʼs attitude to the profession, attitude to himself as a subject, to colleagues, to the object of labour.&#x0D; Keywords: self-consciousness; professional self-consciousness; structural components; formation system; stages of formation; self-awareness; evaluation criteria; levels of development; performance indicators.
Sistem Pendukung Keputusan Menentukan Media Yang Tepat Untuk Pembelajaran Secara Online Di SMP Negeri 1 Alasa Talumuzoi Menggunakan Metode AHP

In the world of education, we really need media as a means of interaction between teachers and students to convey information messages in teaching both in the form of written media, image media, sound media, video media, and print media. With the media, students are easier to understand and understand the meaning of the lessons given. The criteria data for the application of the Analytical Hierarchy Process (AHP) method include Ease of Access, Internet Quota Usage, Audio and Visual Interaction, User Limit Capacity, and Access Time Limit. Alternative data for the application of the Analytical Hierarchy Process (AHP) method includes 5 online media, namely Google Classroom, Edmodo Application, Zoom Meeting, Cisco Webex, and Moodle Application. The ranking results on the alternative obtained rank 1, namely Google Classroom Value = 0.4139. The system is designed web-based using PHP and MySQL.
Intelligent Government Control System Construction Based on 5G IoT

This paper presents an in-depth analysis of the construction of an intelligent government control system in the context of 5G IoT. The research has conducted performance tests and network tests on the samples of the components which debugged the problems that occurred during the tests and analyzed and improved the system. The system designed in this study is not only easy to maintain but also very reliable and safe, with a high level of accuracy, and can be used for remote “five remote” and management of switchgear and other related power equipment. Based on this model, a dual middleware PaaS service selection algorithm is proposed, and a utility evaluation strategy is used to load balance the PaaS service. The test results show that the DMPS algorithm has a high selection accuracy and load balancing capability. Combined with the experience of local government investment and financing platform financing risk management and control practices, the financing risk control system established through the study is made more feasible. From the development history of local government investment and financing platforms, we study local government investment and financing platforms from the perspective of historical development and explore the root causes of their high financing risks and possible defects in the management process of daily work. Concerning the existing laws and regulations, practical operation norms, the framework of the local government investment and financing platform system, and other objective conditions, we start to build a financing risk control system for local government investment and financing platforms from both practical and operational management aspects, to find a financing risk control system that is in line with the regulations and effective. Finally, the system will be put into practice, and the effectiveness of the system will be tested by using the simulation operation method, and the results will be adjusted in time for the shortcomings of the system. The system is expected to help local government investment and financing platforms to reduce their risks so that they can provide better services for urban infrastructure construction and become a solid link in the economic development chain.
Implementation of Winnowing Algorithm and Simple Additive Weighting SAW for Publication Reference Journal Search System

Reference journals have several different writing arrangements. In the reference journal, there is some information or words needed in making scientific journals. With this information or word retrieval system, it can help to find journals that match the similarities between input and information or words in the journal that will be used as a reference. In this study, the input process of equations and information or words will be processed using the Winnowing algorithm as an algorithm that can find the similarity of words or texts with N-gram functions, rolling hash, and Jaccard Coefficient. In general, the search only uses the same words or text without any weighting on the composition of the reference journal. To be able to find journals and their level of importance in the order of journals, a weighting method is needed. This study also uses the Simple Additive Weighting (SAW) method as a process to determine the value of the order of urgency in journals so that it can provide results in the form of rankings based on searches and urgency weights in reference journals. The results of the similarity query with documents obtained 60% precision, 77% recall, and 81% accuracy, documents, and documents had 41% precision, 83% recall, and 66% accuracy. using Winnowing Algorithm, the search system can detect the similarity of text.
Extraction of Human Motion Information from Digital Video Based on 3D Poisson Equation

Based on the 3D Poisson equation, this paper extracts the features of the digital video human body action sequence. By solving the Poisson equation on the silhouette sequence, the time and space features, time and space structure features, shape features, and orientation features can be obtained. First, we use the silhouette structure features in three-dimensional space-time and the orientation features of the silhouette in three-dimensional space-time to represent the local features of the silhouette sequence and use the 3D Zernike moment feature to represent the overall features of the silhouette sequence. Secondly, we combine the Bayesian classifier and AdaBoost classifier to learn and classify the features of human action sequences, conduct experiments on the Weizmann video database, and conduct multiple experiments using the method of classifying samples and selecting partial combinations for training. Then, using the recognition algorithm of motion capture, after the above process, the three-dimensional model is obtained and matched with the model in the three-dimensional model database, the sequence with the smallest distance is calculated, and the corresponding skeleton is outputted as the results of action capture. During the experiment, the human motion tracking method based on the university matching kernel (EMK) image kernel descriptor was used; that is, the scale invariant operator was used to count the characteristics of multiple training images, and finally, the high-dimensional feature space was mapped into the low-dimensional to obtain the feature space approximating the Gaussian kernel. Based on the above analysis, the main user has prior knowledge of the network environment. The experimental results show that the method in this paper can effectively extract the characteristics of human body movements and has a good classification effect for bending, one-foot jumping, vertical jumping, waving, and other movements. Due to the linear separability of the data in the kernel space, fast linear interpolation regression is performed on the features in the feature space, which significantly improves the robustness and accuracy of the estimation of the human motion pose in the image sequence.
The Infusion Speech Skeleton Application (Apps) Concept as A Teaching Medium for Office Management &amp; Technology (OMT) Students

This research aims to employ Apps in public speaking courses to facilitate OMT students’ learning process with simplified speech draft development versions. The Apps development was categorised into two divisions: (i) content and (ii) design and concept. Specifically, Apps content served to complement OMT students’ requirements while Apps design and concept encompassed interactive designs and waterfall models. Additionally, Analysis, Design, Development, Implementation, and Evaluation (ADDIE) and focus group discussion (FGD) were incorporated as research methodologies. Although App utilisation was presented in multiple educational courses, this study pioneered App development and implementation in the public speaking courses in line with non-communication (OMT ) student needs.
ONE APPROACH TO ACCELERATE THE EXPONENTIATION ON GALOIS FIELDS FOR DATA PROTECTION CRYPTOGRAPHIC SYSTEMS

The new approach to accelerate the computational implementation of the basic for a wide range of cryptographic data protection mechanisms operation of exponentiation on Galois Fields have been proposed. The approach is based on the use of a specific property of a polynomial square and the Montgomery reduction. A new method of squaring reduces the amount of computation by 25% compared to the known ones. Based on the developed method, the exponentiation on Galois Fields procedure has been modified, which allows to reduce the amount of calculations by 20%.
Multilateral visual expression using real-time SNS disaster issue data: Focusing on the ECHO_EARTH Project

This study extracts real-time keyword issues and expresses them from multiple perspectives, focusing on relevant data that spreads with the detection of real-time disasters and environmental abnormalities. To this end, the study establishes selective words included in Twitter, analyzes the spread and network of these issues, and objectively applies the category of disaster information to various ways of expression. Furthermore, the study seeks to spontaneously collect data keywords on disasters and implement them with installation through multifaceted visual expression. Finally, the boundary of various visual expressions is expanded based on the visual expression of data for application in various fields.
Methodical Approach to Research of Musical Pedagogy History

The arsenal of methodology of history and theory of musical pedagogy in Russian science of the beginning of the 21st century is actively expanding due to concepts and approaches from the field of philosophy, aesthetics, cultural studies, psychology, sociology and art science in general. Music pedagogy today is studied on the basis of sociocultural, axiological, semiotic, civilizational, paradigmic, intonational, hermeneutic and dialogical methods considered in the article. The fundamental principles of these methods are determined, due not only to the connection between musical art and pedagogy, but also to their capabilities, allowing the researcher to penetrate into the depths of complex phenomena and processes of the music education system. Modern realities of art pedagogy make scientists prefer a paradigm approach, in which symbolic, psychoanalytic and structural paradigms stand out as the basis for scientific research on musical pedagogy of the beginning of the 21st century.
Taming Algorithms

The introduction of artificial intelligence (AI) and other tools, based on algorithmic decision-making in education, not only provides opportunities but can also lead to ethical problems, such as algorithmic bias and a deskilling of teachers. In this essay I will show how these risks can be mitigated.
RELATIONSHIP IN IOT AND BIG DATA ANALYTICS: THE OPPORTUNITIES AND OPEN CHALLENGES

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.
FERPA and disclosures of COVID‐19 data on campus: A case study

The COVID‐19 pandemic has created major compliance challenges for institutions of higher education, including in the area of student privacy. At various times during the pandemic, postsecondary institutions have been panned for their lack of transparency over COVID‐19 infection rates on campus.
Zastosowania technologii blockchain w finansach

This chapter describes blockchain – an IT tool which has found an innovative use in finance, creating a new, fast-growing segment within FinTech. Blockchain, connected to the field of Distributed Ledger Technology, over the last few years has become a proposed solution for problems ranging from keeping financial records to designing new forms of money. The chapter establishes the foundations for further research by explaining what blockchain is and how it works, describing its characteristic features and weighing them against each other in a SWOT matrix. Following that, a number of proposed and already implemented applications of the technology are presented and discussed. This includes: cryptocurrencies, investment/security tokens and the process of tokenizing other types of real-world assets as well as digital repositories.