Reviewerly/exHarmony huggingface dataset:
Развитие института образования в России как ответ на вызовы пандемии коронавируса

The article provides a socio-cultural rationale for the development of the education institution in Russia as a response to the challenges of the coronavirus (COVID-19) pandemic. A set of methods is used: secondary analysis of sociological and statistical data; comparative analysis; case study. The chronological scope of the study: March — October 2020. Based on the results of the study, two main problems are identified on the path of the harmonious development of the education institution in the new socio-cultural realities: the underdevelopment of the information and communication infrastructure of the educational organization and the low level of digital literacy of its actors, which are in a causal relationship. It is concluded that the forced (“stressful”) transition to distance learning can be rightfully considered both as a stimulus for technological changes, and a challenge to higher education in Russia, requiring a comprehensive solution as a result of the consolidated actions of all participants responsible for organizing the educational process. They include representatives of the relevant ministry constructing the architectonics of the educational space, the authorities of universities, organizing work on the ground, and teachers as such, ready to increase their own level of digital literacy and media competence in general. It is summarized that the case related to the coronavirus pandemic determined the institutionalization of online education — the transformation of this segment of the educational services market into its integral part, where not only state-run but also commercial structures can occupy their niche (various webinars and short-term programs, which under the conditions of lockdown have received special demand, including being provided free of charge). It is predicted that in these realities, in the long term, receiving an education in the “traditional” offline format will not lose its relevance, turning into a less accessible (due to its high cost), but more “elite” way of acquiring knowledge.
Night Market Escape in VR

Maze is a puzzle with network of paths or passage which one has to find a way. Maze game nowadays not provide a real life situation and player cannot fully experience real adventure that maze game can provide. Maze game nowadays need a gameplay that allow player to roam around the maze world and admire breath taking views through a virtual world while solving the maze. Night Market Escape in VR game was developed to provide virtual reality maze game with enjoyable first person view experience. This game was develop using the Game Development Life Cycle (GDLC) methodology. The GDLC consist of six phase which is Initiation phase, Pre-Production phase, Production Phase, Testing phase, Beta phase and Release Phase. All the phase will be used to develop the game except the release phase. At the end of this project, maze game can be played in the virtual world with the Malaysia night market environment. This game will provide enjoyable experience for user and can promote Malaysia to the world as this game are using Malaysia Night Market Environment.
Sistem Pakar Untuk Mendeteksi Kerusakan AC Menerapkan Metode Graf or Algorithm

The development of electric technology is currently running very fast. One of the rapidly growing electronics is smart Electric. important part of this smart electronic development is AC. This electronic device is very vulnerable to damage to devices or systems that are rarely known by many people and experience difficulties. detecting AC damage, an algorithm method is needed to learn from damage to existing item items. The Graph Or Algorithm method is a method that can solve the problem of detecting the AC damage
Problem Network as Access Gate into a Document Repository

This issue contributes to development of access technologies to a special kind of document repository that may be called “personalized archive”. The archives are collected by their owners being usually at the same time their users in correspondence to their professional interests. The archives are installed in personal computers and recently tend to be a kind of secondary caches of big data. Access to the personalized archives has some peculiarity that distinguishes it from access to data bases or the Internet. The user may address to the archive for an instant enquiry being not ready to express precisely identifiers or location of the needed information item but ready to recognize it among other items located in some space. If one tries to regard such access as a search it may be called the “entity search”. If scientific or engineering issues are archived, the understanding of the problem the requested issue is dedicated to frequently appears to be leading by recognition of the issue. This observation implies the idea to depict the images of documents in proximity of nodes in the network of corresponding problems. The network of problems is considered in context of innovation cycles as a map of R&D activity in some technological area of interest. Such a network includes: processes of innovation cycles. Technological artefacts involved, problems themselves, their solutions and elements of solution process. Patterns are proposed for implementing models of problem networks in the Gephi – editor of graphs. Resulting visual representation of the model enables managing of access to underlying repository of documents. The implemented visualization of the model can be used for cognitive analysis and review of scientific and technical documents in a specific scientific and technical field.
How to Detect Hidden Individual Potential (intellectual DNA) of an Entrepreneur

Entrepreneurship is a powerful tool in the value creation function. Contemporary trends indicate that entrepreneurship is not so much a matter of choice but it is increasingly an issue of survival. In the age of knowledge, intellectual potential becomes a key segment of successful entrepreneurship. The discovery, development and management of intellectual potential gives entrepreneurs, in addition to a competitive edge in the modern market, a greater chance of success in developing an entrepreneurial idea. According to research, in the first three years of business, about 90% of start-ups fail. One possible reason is the mismatch of the business strategy, the business idea, with the personal preferences of the entrepreneurs. The theme of the paper is: how to detect an entrepreneur's individual hidden potential (intellectual DNA) ie his natural dominant traits. By "Intellectual DNA" we mean mental, emotional, character, educational, and other conscious and subconscious individual specificities of an individual. Considering that natural personality traits mean interconnected circuits of cognitive, affective, and behavioral functioning, by the term intellectual DNA, we encompass all these characteristics together. Detecting a unique Intellectual DNA gives us a thorough insight into the natural inclinations of a potential entrepreneur. The concept of understanding the unique intellectual DNA of a potential entrepreneur can be very helpful in developing a strategy to materialize a business idea through starting your own business in many ways. First, knowing the entrepreneur's natural preferences, the business strategy can be adapted in an acceptable, natural way. Second, business processes, procedures can be created, modified, aligned to the individual natural preferences of the entrepreneur and thus reduce the risk of potential failure. Third, associates can be selected and placed in the right places according to their personal preferences. In this way, adequate people would perform certain tasks in accordance with their intellectual DNA, in a natural way, which would result in a greater degree of innovation, creativity, productivity, while reducing the degree of risk. We tested this innovative approach on the participants of the training program "What Makes An Adventure Called Entrepreneurship" within the project "Innovation at Work", which was supported by the Cabinet of the Minister for Innovation and Technological Development of the Republic of Serbia, held from 13.11.2019 to 16.12.2019. The results will be presented in the paper.
Systems Transdisciplinary Approach in the General Classification of Scientific Approaches

The development of systems thinking and systems worldview needs new types of system approaches. New types of systems approaches should find their place in the appropriate classification of scientific approaches. The article attempts to substantiate the natural connection of classical scientific approaches with their system analogues. This relationship is manifested in the General classification of scientific approaches from the mono-disciplinary approach to the systems transdisciplinary approach. The definitions of the approaches in such a classification are distinguished by identification features and functional features. Classification allows you to consciously use these definitions within a single semantic field of scientific knowledge. The streamlining of scientific approaches within the framework of such a classification makes it possible to give a rationale for a wide range of interdisciplinary interactions in modern science.
ИСПOЛЬЗOВAНИE ИННOВAЦИOННЫХ ТEХНOЛOГИЙ В УСЛОВИЯХ OБНOВЛEННOГO СOДEPЖAНИЯ OБPAЗOВAНИЯ

The significance of the reforms taking place in secondary education, as well as the ways of their implementation is considered in this article. Describes the feature of the updated content of education. The features of the use of various innovative - pedagogical technologies for the formation of functional literacy skills among students are shown. The types of innovative - pedagogical technologies and strategies using in conditions of updated content of education are described. Approaches of Kazakhstani and foreign educators are analyzed. The importance of the active work of the teacher in the light of the changes taking place in education is considered.
Curriculum for a Subject using Cloud-based SW to Enhance Untact Education Capabilities of Field Teachers

In this paper, a practical curriculum for using cloud software (SW) is proposed that can be applied as a subject for strengthening the untact education capability of field teachers. For untact education, teachers require content creation and online collaboration skills. Content creation forms are divided into real-time and video contents. Cloud-based SW can be used for online collaboration education. Currently, cloud-based Google and Chrome SW can be used to create real-time and video contents. In addition, online collaboration training can be conducted using cloud-based Chrome SW. Most cloud SW is fundamentally free to use; therefore, they can be shared with students to conduct classes. In this study, we focused on cloud-based SW running on the Chrome web browser and SW provided by the Google platform. In addition, among other free SW programs, the SW essential for untact distance education was investigated. Based on these results, according to the ADDIE model, a training curriculum for using cloud SW that can be taught for 15 weeks was proposed. In addition, detailed educational contents for each week corresponding to the content production and cloud collaboration capabilities were presented, and the curriculum evaluation results by field teachers were collected to analyze the curriculum validity.
МУЛЬТИМЕДІЙНИЙ ТВОРЧИЙ ПРОЄКТ ЯК ІННОВАЦІЙНА ОСВІТНЯ ТЕХНОЛОГІЯ

The article is devoted to the definition of the features of multimedia creative projects as innovative educational technology. As a result of the study, the main components of modern multimedia creative projects, in particular, graphic layouts, were identified; materials for social networks; site projects; text materials intended for distribution in modern media, etc. The article clarifies the possibilities of introducing multimedia creative projects into the process of blended learning for students. Multimedia creative projects is one of the ways to solve the problem of efficient use of time allotted in the disciplines for independent work of students and its effective combination with lectures and practical exercises. Multimedia creative projects can act as additional tools for modular and semester control. Public protection of multimedia creative projects is an effective way to test students' knowledge and skills. Specialists of the local media market and heads of media departments of Sumy State University take part in open defense by students of multimedia creative projects. This allows students to effectively present themselves to potential employers. The article notes the relationship of multimedia creative projects with classroom activities and features of the use of multimedia technologies in creative projects. Multimedia creative projects complement lectures and practical exercises in the sense of building professional competencies for future specialists and allow students to focus on specific topics or questions of the course. The article clarifies the role of multimedia creative projects in the training of future specialists, in particular, this is the application by students of theoretical knowledge in practice, it is the acquisition by them of new practical skills in the chosen field, this impact on the formation of professional student portfolios that can be used in the search for future work. When creating creative projects, students use various multimedia technologies. These technologies allow future professionals to develop messages designed for distribution in modern media.
The Correlation between Modern International Trade and Business English Based on Computer Software Analysis System

The relevance of modern international trade and business English is studied based on computer software analysis system. Combined with the characteristics of computer software analysis system, a forgetting law model is proposed based on business English knowledge learning. Based on the characteristics of modern international trade development, BP neural network prediction model is established to analyze the export goods data to promote the wide application of business English. Finally, the algorithm is used to test the subject. The results show that the program can obviously overcome the forgetting of words and improve the vocabulary level of students. Modern international trade not only promotes the development of the national industrial economy, but also promotes the application of business English in modern international trade.
Kajian interaksi dan peranan media sosial dalam pembelajaran daring mahasiswa pada era pandemi COVID-19 di IAIN Tulungagung

E-learning in the Covid-19 pandemic era caused limited social interaction and depended on social media literacy from providers and users in learning units, causing constraints on the quality and effectiveness of learning. The research objective was to examine social interactions and the role of social media in student e-learning during the Covid 19 pandemic at IAIN Tulungagung. Descriptive quantitative research methods. The population was 23,423 students, the sample was 3,483 students (14.87%). The data collection tool used a list of questions, the duration of data collection was 1 month April 2021. Data analysis included the calculation of means, percentages, presentation of graphs and tables with SPSS version 25.0 for windows. Result; learning at home, using a mobile internet connection and using the WhatsApp application and google classroom. Learning material innovation is needed so that learning is easily accessible from cellphones. E-learning limits socializing and reduces free time. Barriers to online lectures are mainly limited internet signal, then costs incurred, difficult material and a lot of assignments, 83.49% students that they disagreed with the statement that online lectures were cheap. Innovation and planning for interactive learning methods are needed so that students can interact actively and facilitate student access to the internet.
A Dynamic QoS Adjustment Enabled and Load-balancing-aware Service Composition Method for Multiple Requests

Previous QoS-aware service composition methods mainly focus on how to generate composite service with the optimal QoS efficiently for a single request.However, in the real application scenarios, there are multiple service requests and multiple service providers.It is more important to compose services with suboptimal QoS and maintain the load balance between services.To solve this problem, in this paper, we propose a service composition method, named as dynamically change and balancing composition method (DCBC).It assumes that the QoS of service is not static, and the services can adjust the value of QoS to gain more opportunities to be selected for composition.The method mainly includes two steps, which are the preprocessing step and the service selection step.In the preprocessing step, a backward global best QoS calculation is performed which regarding the static and dynamic QoS respectively; then guided by the global QoS, the feasible services can be selected efficiently in the service selection step.The experiments show that the DCBC method can not only improve the overall quality of composite services but also guarantee the fulfill ratio of requests and the load balance of services.
Awareness of Cyber Crime on Social Media

More and more people, in spite of age and gender, are signing up for profiles on online socialnetworks for connecting with one another during this virtual world. Some people have many friends andfollowers spread across multiple profiles. But at the same time there is proliferation of fake profiles also. Fakeprofiles often spam the users like posting inappropriate or illegal content. Fake profiles are created whilemisrepresenting some known person to cause harassment to him/her.This is a cross sectional study conductedamong the common people through a questionnaire with 10 questions. The sample was taken on commonpeople. The sample size of the study wass 100 and the results were tabulated accordingly.From the responsecollected it is evident that there is no significant relationship among the public regarding cyber crime. Peoplewho are associated with the IT sector are well aware than the general public on Cyber Crime. The Independentvariable such as age and gender was taken into consideration and the dependent variable such as awarenessabout the ransomware and cyber crime was put forward to the public.The best of our knowledge, none of theprevious researchers have adopted this approach.
Review on Detection and Classification of Mammogram Using Multi-View Feature Techniques

The best purpose behind women's downfall on the planet today is Breast harmful development. For chest harm area and request advance structure of malignant and AI strategies has by and large been used. The inclusion of mammogram arrangement spares the specialist's and doctor's time. Beside the diverse examination on breast image portrayal, not a lot of review papers are available which gives a point-by-point delineation of chest infection picture gathering strategies, feature extraction and decision procedures, request assessing definitions, and malignant disclosures. In this paper we have concentrated on the overview of Convolutional Neural Network (CNN) strategies for bosom picture order in Multiview highlights. In this survey paper we have various procedures for arrangement alongside their outcomes and impediments for future exploration.
On-Demand Video Tagging, Annotation, and Segmentation in Lecture Recordings to Enhance E-learning Effectiveness

The COVID-19 pandemic has forced much of the academic world to transition into online operations and online learning. Interactions between the teachers and students are carried out via online video conferencing software where possible. All video conferencing software available today is designed for general usage and not for classroom teaching and learning. In this study, we analyzed the features and effectiveness of more than a dozen major video conferencing software that are being used to replace the physical face-to-face learning experiences. While some of the video conferencing software has pause feature but none allow annotation and segmentation of the recording. We propose tagging and annotation during the live streaming to improve direct access to any portion of the recorded video. We also propose automatic segmentation of the video based on the tagging so that the video is short, targeted, and can easily be identified.
When Blockchains Backfire: Information Transparency in a Vertical Relationship

Information Technology (IT) such as blockchains, radio-frequency identification (RFID), and Internet of Things (IoT) allow firms and consumers to trace the physical flow of products along a supply chain. Although this improvement in information transparency helps enhance product safety and quality, it also provides information integration in the channel by giving an upstream manufacturer verifiable information regarding its retailer’s sales records, which are previously unknown owing to demand uncertainty. On the surface, it seems that such reductions in information asymmetry benefit the manufacturer at the expense of the retailer. Contrary to this intuition, we find that a manufacturer’s information regarding retailer’s sales can worsen double marginalization and hurt the manufacturer, the retailer, and consumers alike, thereby leading to a “lose-lose-lose” outcome. Our results caution firms and public policymakers that improving information transparency using IT can lead to unintended and potentially negative consequences.
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING

Credit card fraud is a major problem that affects the financial industry worldwide.Machine learning has become an effective tool for detecting fraudulent transactions in credit card transactions.This paper presents an overview of credit card fraud detection using machine learning techniques.The proposed approach involves collecting transaction data, preprocessing the data, engineering new features, selecting an appropriate machine learning algorithm, training and testing the model, and finally deploying the model for real-time fraud detection.We highlight the importance of data preprocessing and feature engineering in improving the performance of the model.Several machine learning algorithms are discussed, including logistic regression, decision trees, and neural networks.The performance of the model is evaluated using various metrics, such as precision, recall, and F1 score.The proposed approach provides a powerful tool for detecting credit card fraud in real-time, thus reducing financial losses for businesses and consumers alike.
TEACHERS’ STRATEGIES TO INTRODUCE SIMPLE ENGLISH WORDS TO VERY YOUNG LEARNERS

This qualitative study described the strategies used in teaching English vocabulary to non-native very young learners (ages 1.8 – 2.5 years old) at Kiddos English School, Banda Aceh. This process increases their bilingualism and linguistics development. In collecting data, observations in the teaching and learning process were conducted. The observations were done in five consecutive school days, Monday to Friday, making a total of five meetings of observations. The results showed that the teachers used many kinds of strategies to teach vocabulary to very young learners, such as using songs, pictures, games, coloring, and storytelling in the classroom. Additional strategies were done when activities were done in the outdoors (playground), swimming time and playing at the gym. It can be concluded that prior to applying strategies to teach vocabulary to these very young learners, teachers need to understand the characteristics and needs of their students. Therefore, the strategy implementation is effective to introduce and increase the learners’ vocabulary, and the teaching and learning goals are achieved.