Reviewerly/exHarmony huggingface dataset:
Gamification in teaching historical disciplines: From the experience of the Timiryazev Academy

The authors give a periodization of the introduction of gamification in the teaching of historical disciplines, highlighting three stages, dating the final stage to 2020. They associate the onset of it with the self-isolation of students and teachers during the Covid-19 pandemic. The experience of the Department of History of the Timiryazev Academy in the gamification of the educational process is presented, a brief overview of the business game - Quiz "Guess" is given. The main programs that were used at the university in the framework of gamification are considered: Kahoot, Quizizz, Triventy, Mentimeter. The article provides data on mobile applications for smartphones that can be used in the history disciplines learning process. The purpose of the research is to share the experience of the teachers of the Department of History of the Russian State Agrarian University-Moscow K.A. Timiryazev Agricultural Academy (Timiryazev Academy) on the introduction of gamification into the teaching of history disciplines. The object of the research is gamification. The subject of the research is the introduction of gamification by the teachers of the Department of History of the Timiryazev Academy. Research methods: participant observation, sociological survey, expert assessment. The main scientific result: it is proved that gamification in teaching of historical disciplines is closely related to the process of digitalization of the educational process, which puts on the agenda the development of a complex of special mobile applications containing educational content in the discipline "History (history of Russia, general history)".
CREATING AN ELECTRONIC LIBRARY USING THE JAVASCRIPT PROGRAM

The article discusses the development and classification of electronic libraries. Advantages, disadvantages, legal framework for the use of electronic resources and development issues are considered. Terms used in this area are the main methods of creating an electronic library. Recently, the history of the development of electronic libraries in the world has been observed. Digital library is a concept that has different meanings. For the computing community, the digital library is a metaphor for new types of services that manage unstructured multimedia data. The article discusses JavaScript graphics libraries and how to create them as a website.
Information use pattern of researchers in economics: A citation analysis 2007-2016

The study has been conducted with 302 original contributions with a total of 8347 citations contributed by 549 authors published in volumes 74 (393) to 83 (332) of the renowned Journal, Economica, New Series during 2007–2016. An analysis of the different forms of literature, authorship pattern, language-wise cited articles, country-wise distribution, subject-wise distribution, ranking of cited journals, and obsolescence study has been made. Among the citations, articles accounted for 63.83% and books 26.49%. The highest number of articles totaling 5319(99.83%) has emanated from the English language. The first two countries USA and UK are responsible for 83.75% of the articles and 90.49% of the books. Most articles (59.891%) were published on core subjects of research, which include Econometrics, American Economics, Political Economics, International Economics, Monetary Economics, European Economics, and Public Economics. Literature in Economics published during the last 20 years contributes almost 68.506% of the total literature.
Providing a Framework for Security Management in Internet of Things

With the advent of Internet of Things technology, tremendous changes are taking place.Perhaps what humans never even imagined will come in the near future, and just as the Internet surrounds all aspects of people's daily lives, intelligent objects will autonomously take over all aspects of people's lives.So far, a lot of research and development has been done in the field of Internet of Things, but there are still many challenges in this field.One of the most important challenges is the issue of security in the Internet of Things.Therefore, in this paper, while reviewing the requirements, models and security architectures of the Internet of Things, a framework for security management in the Internet of Things is proposed, which takes into account various aspects and requirements.The proposed framework uses various ideas such as cryptography, encryption, anomaly detection, intrusion detection, and behavior pattern analysis and can be considered as a basis for future research.The purpose of this research is to determine security requirements and provide a method to improve security management in the Internet of Things.Based on the tests, the proposed method is completely 100% resistant against data modification attacks.Against impersonation attacks up to 97% and against denial of service attacks up to 89% resistant detection accuracy.
Development of Teaching Materials for Writing Folklore Texts Based on Text Engineering in Class X Students of SMA Negeri 1 Kualuh Hulu, Labuhan Batu Utara Regency

This type of research is a development research that will produce products in the form of textbooks for writing folklore texts based on text engineering based on test findings in the field.This study aims to obtain teaching materials for writing folklore texts based on engineering texts and also to find out: (1) Describe the process of developing teaching materials for writing folklore texts based on engineering texts, (2) Describe the appropriate of writing engineering-based folklore texts, (3) Describing the effective of developing teaching materials for writing folklore texts based on text engineering.This type of research includes Borg and Gall research and development.The subject of this research is teaching materials for writing folklore texts based on text engineering.The population of this research and development is the tenth grade students of SMA Negeri 1 Kualuh Hulu, Labuhan Batu Utara Regency.
Experimental Design of Self-Tracking Camera Gimbal Robot Based on OpenCV

The emergence of COVID-19 has reduced the opportunities for offline meetings, making people's work and study more transfer to the internet platform. However, the viewing angle and distance of the camera cannot be considered both. Therefore, machine vision is used to identify and track the presenter, and the camera pan-tilt control function of automatically tracking the presenter is realized. In many tests, the target tracking function works normally and works well. The experimental design involves relatively comprehensive disciplines, with good functional scalability and high practicability. It is an innovative experiment integrating robotics teaching, machine learning practice and embedded systems.
METHODOLOGICAL SUPPORT OF THE EDUCATIONAL PROGRAM AT THE UNIVERSITY

The article presents the results of a study on the problem of methodological support for the implementation of educa- tional program at the university in the context of the transition of universities to a new level of professional training in connection with the transition to present-day federal state educational standards, taking into account professional standards. The author proposes a model of methodological support of the educational program and the main areas of activity. Based on the results of the work, the conclusion states the need for a systematic approach to the development of a model of methodological support of the educational process at the university and the need for further research of the problem of methodological support as a factor in improving the quality of training.
Construction of Intelligent Search Engine for Big Data Multimedia Resource Subjects Based on Partial Least Squares Structural Equation

Abstract The equivalence of the research model is used as part of least squares to construct an intelligent search engine for large multimedia files. First of all, based on the intelligent design of big data analysis, optimize the search engine mode and create a good search environment. According to the research on big data technology, the application value of big data in intelligent search engine is analyzed, and a better search engine system is built on this basis. The basic theory of comparative modeling is also investigated. Then, on the big data management platform of Siping Fire Bureau, the operation of the big data search engine is identified according to the difference of evolutionary algorithms. Experiments show that the big data search engine, as part of the least squares structural equation algorithm, also improves user satisfaction, which is considered below. From the big data search engine, according to the difference of the evolutionary algorithm, the return time, return value and cost are improved, and the search itself can be effectively and accurately realized.
A Machine Learning Utility for Detection of Potential Protected Health Information Images

Often, dental x-rays and digital images which may contain sensitive patient information are saved to network and local directories increasing the vulnerability as well as the legal liability of the institutions that process them. To reduce the risk, various approaches are employed by IT staff to detect such images and ensure their proper handling. Searching for images manually is a tedious and time-consuming task; rather automated tools would be preferred. The goal of this project was to investigate how machine learning can be used for automated image recognition as a tool in dental image detection. This paper presents the design, implementation and testing of a user-friendly tool to analyze directories and subdirectories identified by a user to identify and handle Protected Health Information (PHI). The tool provides an interface for a user to select various options for file handling and image search parameters that are then used with a convolutional neural network (CNN) to identify dental radiographs in an arbitrary list of files. Experimental results show that the tool accurately detects potential PHI-related files, leading the way for a practitioner ready deployment.
Efficient Channel Pruning via Architecture-Guided Search Space Shrinking

Recently, channel pruning methods search for the optimal channel numbers by training a weight-sharing network to evaluate architectures of subnetworks. However, the weight shared between subnetworks incurs severe evaluation bias and an accuracy drop. In this paper, we provide a comprehensive understanding of the search space’s impact on the evaluation by dissecting the training process of the weight-sharing network analytically. Specifically, it is proved that the sharing weights induce biased noise on gradients, whose magnitude is proportional to the search range of channel numbers and bias is relative to the average channel numbers of the search space. Motivated by the theoretical result, we design a channel pruning method by training a weight-sharing network with search space shrinking. The search space is iteratively shrunk guided by the optimal architecture searched in the weight-sharing network. The reduced search space boosts the accuracy of the evaluation and significantly cuts down the post-processing computation of finetuning. In the end, we demonstrate the superiority of our channel pruning method over state-of-the-art methods with experiments on ImageNet and COCO.
LCIM: Mining Low Cost High Utility Itemsets

In data science, a key task is high utility itemset mining (HUIM), that is determining the values that co-occur in data and have a high utility (importance). That task is applied for instance to identify the most profitable sets of products in transactions. A shortcoming of current algorithms is that they focus on the utility of patterns, but ignore their cost (e.g. time, effort, money or other resources that are consumed). Hence, this paper defines the problem of low cost high utility itemset mining. The aim is to find patterns that have a high average utility and a low average-cost. An example application is to find patterns indicating learners’ studying patterns in an e-learning platform that result in obtaining high grades (utility) for a relatively small effort (cost). An efficient algorithm named LCIM (Low Cost Itemset Miner) is proposed to solve this problem. To reduce the search space, LCIM uses a novel lower bound on the average cost. Observations from experiments confirm that LCIM find interesting patterns and is efficient.
Projects didactic potential in higher mathematics course of engineering field

The article presents the theoretical foundations, purpose, objectives and practical aspect of design technologies. The prerequisites for rethinking the elements of didactics for natural-scientific disciplines block of technical field are noted. It is shown the theoretical significance and practical orientation of the developed author’s technology, focused on the formation of professional competencies elements in the project activities of junior students in the discipline “Higher Mathematics”. Technology model of dynamic educational research projects is presented, the purpose, psychological and pedagogical aspects, subjects and content description are determined. The results confirm the effectiveness and potential of the author’s design technology, supported by information means. The advantages and risks of organizing educational cooperation, the possibility of additional motivation in achieving the educational goal are revealed. Recommendations for the practical application of the presented technology are formulated. The author’s experience in the implementation of design technologies in higher mathematics course is analyzed and summarized. The presented technology can be used in teaching practice, in research to improve the educational process.
A Universal Lightweight Privacy-Preserving Multifunctional Data Handling Scheme

Most previous studies leverage homomorphic encryptions to execute arithmetic operations (e.g., summation, average) on encrypted data. However, these schemes are designed for a specific application environment and just achieve secure computation of a limited number of functions. Therefore, we propose a new privacy-preserving multifunctional data handling scheme with three main contributions. Firstly, it can efficiently complete plenty of rich, secure arithmetic operations through homomorphic encryption techniques to destroy the one-to-one relationship between data and its source. Secondly, it can resist differential attacks launched by the data processing entity by adding random noise. Meanwhile, it enables data analyzing entities to obtain accurate results by removing random noise. Ultimately, we conduct the security analysis, performance analysis, and comparison. These analyses show that the proposed scheme can preserve data privacy and differential privacy and is efficient regarding computation cost and communication overhead.
IN MEMORY OF D.I. TRAITAK – WONDERFUL SCIENTIST AND METHODIST, MENTOR AND PERSON

The article describes the life path of the famous teacher, scientist in the field of methodology of teaching biology and ecology, doctor of science in Pedagogic Sciences, professor of Moscow State Regional University, correspond- ing member of the Russian Academy of Education, active member of the International Academy of Sciences of Pedagogical Education D.I. Traitak, who paid great attention to the study of the central problem of methodology – improvement of content of school biological education and study the issue of practical orientation in teaching biol- ogy, studied formation and development of cognitive interest of students in the subject, was one of the first to study the influence of the intra-school environment factors on the educational process and developed a methodology for compiling environmental certificate of the school.
Teaching Quality Evaluation System based on Optimal Neural Network and SVM

When evaluating the quality of education, there are many factors that affect the quality of education, and the degree of influence of each factor is different. As a new technology, Neural Network (NN) and SVM can solve this problem very well. The purpose of this paper is to study the teaching quality (TQ) Evaluation System (ES) of optimized NN and SVM. Combining the actual characteristics of college training programs and the requirements of quality education curriculum development, this paper introduces optimized SVM and NN technology into quality education in colleges and universities (CAU). The implementation of this scheme processes the received data through SVM technology, realizes diagnosis and maintenance through the evaluation system, and obtains the final evaluation scores of teachers through technologies such as neural network optimization. The experimental data shows that the error similarity between the test sample error obtained by this system and the test sample error reaches 98%. It can be seen that the optimized NN and SVM TQ ES model proposed in this paper is a reasonable and feasible evaluation model.
Pengembangan Mobile Learning Management System Dengan User Centered Design (UCD) Menggunakan Flutter Framework

The Learning Management System is a supporter of online learning management so that the teaching and learning process remains quality like face-to-face. This study aims to develop a mobile learning management system application using the flutter framework for students at the Telkom Purwokerto Institute of Technology with the User Centered Design method. This research creates a mobile-based Learning Management System that can be accessed and functions according to the needs of users, namely students. The application test results show that all functions run according to user needs so that this system can help make online learning easier via smartphones.
The implementation of forward chaining and certainty factor methods to examine the covid-19 vaccination eligibility

Screening for the COVID-19 vaccination is an important and mandatory step to ensure the eligibility status of each candidate for vaccination. The main obstacle experienced was the ineffective screening process (a long process) that resulted in the accumulation of patients. Sometimes it takes one to two hours from registration to receiving the vaccination paper. This situation certainly causes discomfort for both participants and vaccinators. Therefore, the presence of an expert system is needed to overcome these obstacles. The expert system plays a role in simplifying service flow and shortening service time. This article discusses the application of the Forward Chaining method to formulate screening parameters so that they can be used to accurately determine vaccination eligibility. Based on the results of interviews with experts (expert doctors who handle vaccination), 12 rules were obtained from the formulation of 20 historical parameters, which will then serve as a knowledge base for the Covid-19 vaccination screening expert system. The test is carried out by comparing the results of expert screening diagnoses with an expert system using 15 samples of test data. The test results using the Certainty Factor method show that the confidence level is 84% to 99%.
Distributed Anti-manipulation Incentive Mechanism Design for Multi-resource Trading in Edge-Assistant Vehicular Networks

In response to the vast and ever-changing task demands of vehicle terminals, the edge-assistant vehicular network (EAVN) supported by the mobile computation offloading (MCO) technic constituted a new paradigm for improving system performance. The existing edge resource trading mechanisms in EAVN were all centralized processing and suffered from several critical drawbacks of the centralized systems, which inspired the research design of distributed trading mechanisms. In this paper, we proposed an efficient distributed reverse combinatorial auction-based trading mechanism under the anti-manipulation check, namely DRCA, to solve the joint multi-task offloading and multi-resource allocation problem in EAVN with overlapping areas, and prevent the participants from manipulating the auction results. We proved that DRCA has achieved the property of faithfulness and analyzed its network complexity. Besides, compared with existing auction-based mechanisms, DRCA could achieve suboptimal social welfare with relatively low system overhead.
VOCATIONAL EDUCATION OF STUDENTS WITH DISABILITIES AND DISABLED PEOPLE THROUGH THE FORMATION OF SELF-ORGANIZATION EXPERIENCE

The article discusses the features of vocational education of students with disabilities and disabled people. A number of conditions are determined for mastering the experience of self­organization within the framework of vocational education, which is one of the important factors in the integration of this group of students into the professional environment already in the process of learning and later in the process of working in the specialty. The key characte­ ristics of the process of self­organization are concretized and its psychological and pedagogical assessment is given. The reasons that reduce the level of self­organization of students with disabilities have been identified; on the basis of this, the organizational and pedagogical conditions for the development of a training program for the formation of the experience of self­organization among students with disabilities and disabled people are indicated.
Copy Move Forgery Detection Methods and Its Advantage of Two Stage Filtering

In the modern information system, digital media altering has become a major serious issue. Different ways of manipulating information methods are available like slicing, copy move forgery methods etc. Here mainly focusing on copy forgery methods based on key point based and their detection methods. This paper also shows the advantage of Two stage filtering detection method over detection method is also discussed. In two stage filtering four stages are involved. First key point extraction is done using a key point extraction algorithm, next step is finding matched key points are filtered by key point- matching algorithm and third is a Two stage algorithm based on Two stage filtering and the Clustering-Based Filter (CBF), is applied to eliminate most of the falsely detected key point pairs and finally removing falsely matched key point pairs and finding the forged region.This paper mainly covers the comparison and review of CMFD methods.
Tying It Up in a Bow: Webpack

In the good old days of web development, things were simple. You created a directory, maybe some subdirectories, if you were a bit more organized, and into it, you poured all your resources: a stylesheet or two here, a sprinkling of images, some HTML files, and a heaping helping of JavaScript files. Then, a single HTML file served as your entry point, and it would go out and load, by way of script tag references, all your JavaScript files, as well as your CSS files and images.