Reviewerly/exHarmony huggingface dataset:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos.

Contact tracing is an important method to control the spread of an infectious disease such as COVID-19. However, existing contact tracing methods alone cannot provide sufficient coverage and do not successfully address privacy concerns of the participating entities. Current solutions do not utilize the huge volume of data stored in business databases and individual digital devices. This information is typically stored in data silos and cannot be used due to regulations in place. To successfully unlock the potential of contact tracing, we need to consider both data utilization from multiple sources and the privacy of the participating parties. To this end, we propose BeeTrace, a unified platform that breaks data silos and deploys state-of-the-art cryptographic protocols to guarantee privacy goals.
Application of Stratified Training on Physical Education Training

Physical education is a kind of culture, while physical education is a kind of cultural transmission.With the teaching content and teaching facilities being determined, with the new concept of curriculum reform being infiltrated into PE teaching, the research and reform of PE teaching methods play an important role in implementing the PE curriculum reform.The application of hierarchical teaching in physical education is a bold attempt.
Stimulating Motivation in L2 Learning in Internet Plus Environment

In view of the current weak motivation in English learning, this paper clarifies three concepts, including Internet plus, Internet plus education and Internet plus foreign language education.Four main problems will weak students' motivation in learning English, such as losing enthusiasm in the traditional study, overweight on platform construction, too much time on online entertainment, and fragmental study time.To solve these problems, this paper put forward three strategies including setting a long-term goal, enhancing cross culture input, and making online learning systematically.
Маркеры цифровой грамотности в текстах социальных сетей общения (на материале интервью с представителями цифрового поколения)

Social communication networks are the main media channel of communication used by the digital generation. The daily generated content and user interactions form the semiosphere of the new network culture. Our analysis of texts from social networks uses digital anthropology, cultural semiotics, the theory of new media, and virtual genre studies, and allows identifying the signs (markers) in the texts, which, according to our hypothesis, can indicate the level of digital competencies of their creators. The digital literacy studies conducted in Russia usually measure only the user activity on social networks, while the significance of the created texts, and their communicative effectiveness are not taken into account. In this paper, based on the interviews with some students, the advanced representatives of the digital generation, we have identified the digital literacy markers that can be observed in the texts published on social communication networks and in user interactions. This way we have revealed how social networks can be monitored to measure the digital literacy of the young generation. Today, when the audience of social networks almost completely represents the digital generation, and the analysis of big data is gaining popularity, we can observe the prospects of further studies of the identified markers, which will contribute to applying the automated methods for measuring the digital literacy in the future.
Tourism Planning and Impediments to the Development of the Tourism Sector in Jordan

The study aimed at identifying the level of tourism planning impediments to the development of the tourism sector in Jordan.To achieve the objectives of the study, the descriptive analytical approach was used and a questionnaire was prepared to collect data after verifying their validity and stability.The study sample consisted of 500 employees (male/female) of the tourism sector (public and private) in Jordan.The results showed that the level of planning in the Jordanian tourism sector was at the average.While the level of impediments (environmental, organizational, administrative and media) to the development of the tourism sector in Jordan was high, Also, the results showed that the level of impediment (social, service and political) to develop the tourism sector in Jordan at the averaged.The most prominent of these impediments is poverty, which is one of the causes of environmental degradation to carry out destructive practices of the environment such as overgrazing, logging, and the lack of some entertainment projects at tourist facilities to attract tourists and families.
The Sharing Mode of High-quality Teaching Resources in Colleges under the Environment of Cloud Computing

With the promotion and popularization of information technology in the education and the promotion of educational informatization, people pay more and more attention to the co-construction and sharing of high-quality teaching resources in colleges and universities.The development of cloud computing and its advantages provide an opportunity for information resource building and sharing.Based on the author's learning and practical experience, this paper first analyzed the motivation and foundation of high-quality teaching resources sharing in colleges and universities under the cloud computing environment, and then put forward a scheme of high-quality teaching resources sharing in colleges and universities.Using cloud computing theory to manage the teaching resources of colleges and universities and to establish the sharing mechanism of teaching resources based on cloud technology and to realize the sharing of resources on the basis of data security is helpful to promote the construction of digital teaching resources in colleges and universities.
ХІМІЧНИЙ ЕКСПЕРИМЕНТ – НЕВІД’ЄМНА ЧАСТИНА ПРОФЕСІЙНОЇ ПІДГОТОВКИ ФАХІВЦІВ-ХІМІКІВ У КОЛЕДЖІ

The article offers the results of the theoretical and practical analysis of domestic and foreign researches on the feasibility and necessity of using a chemical experiment in the vocational training of future specialists chemists in College. It shows that the chemical experiment is a significant component of the vocational training of future specialists; it notes that the effectiveness of experimenting is due to the choice of the style of a laboratory work. The paper states that the successful combination of different types of a chemical experiment, both laboratory, individual and virtual, results in successful learning outcomes. It shows that the effective preparation and carrying out of laboratory classes will contribute to forming certain students’ professional qualities (manipulative skills; understanding the expediency of using the equipment; forming the content of the scientific research, which includes: designing experiments, conducting experiments, obtaining, processing and analyzing the obtained data; developing motivation, achieving the success; giving the specific examples of abstract concepts). The author describes the characteristics of laboratory teaching techniques, which are respectively the styles of conducting a chemical experiment (explanatory, research, heuristic, problem-oriented). She states that these styles can be differentiated by three descriptors: the result obtained, the approach used and the method of experimenting. The author proposes a list of practical goals, the effective implementation of which depends on the inclusion of a laboratory work to the teaching of chemistry, as well as a reasonable list of professional qualities that future chemists need to develop in  the context of vocational training. Key words: chemical experiment, professional training, pedagogical theory, methods of a laboratory work.
An Approach to the Integration of College English Teaching and Mobile Learning

College English is one of the most important subjects in the universities, but it also face more severe difficulties lately, not only the credit is reduced, but some false statements like "time-consuming and inefficient" appear, so how to improve and innovation teaching mode with time demands has become the subject for many teachers to solve.With the rapid development of mobile internet, mobile devices are widely used in the study, which has become the main channel for students to acquire information.The teaching method of combination of mobile and study in College English effectively improves the efficiency of teaching, compared with the traditional teaching method for mobile study.It has many incomparable advantages and characteristics, for example, it is convenient, fast, independent and effectively meets the personalized learning needs of the students, and mobile study and College English teaching also complement the fusion efficiency.This paper analyzes the functions and necessities of the integration of College English teaching and mobile study, and puts forward specific measures to integrate them so as to promote the effective development of College English education reform and further improve the quality and efficiency of College English teaching.
Perangkat Lunak Pengadaan Sparepart Di PT.Galaksi Bumi Jaya Pontianak

Data mining is a system that is useful for extracting data information as a medium of information and marketing. The author conducts research on sales transaction data to design a good system, which can facilitate use in extracting data information by processing sales transaction data using data mining. This research was carried out on Bumi Gaksi. Galaksi Bumi is a company that sells heavy equipment spare parts which was established in 2016 which is located at Jalan Purnama, Purnama Permai Complex 2 No.AA2. At PT. Bumi Jaya Galaxies the sales information system applied is considered to be less effective and efficient, because transaction data stored for years is not utilized as well as possible. The more data, the company needs more effort to process data so that it can be used as useful information in the future, one of which is using data mining techniques. A data mining is needed to make the relationship between the intem set index in determining the items that are often purchased, with data mining expected to provide a contribution in decision making from a problem. This system uses a priori algorithms to do association analysis. The process of making a data mining website on this sales data using the VB.Net programming language by using the database used is MySQL. While the software design method used is the Incremebtal Development method in implementing a system. With the creation of this data mining processing software can support efficiency and effectiveness of work, making it easier to do data processing and get information from a combination of sales data in order to increase competition in marketing.
A NOVEL ICT TOOL TO PREVENT BULLYING IN SCHOOLS

In the last few years, bullying and has emerged as one of the main issues to be addressed by the Educational community.The problem of bullying in primary and secondary schools is particularly important, as students are in a sensitive age and consequences may negatively affect their adult lives too.This problem has become an active are for researchers of different disciplines.Specifically, different studies have focused this problem by means of ICT tools in order to fight against bullying in schools.According to this, in the literature we can find a wide range of ICT-based tools such as elearning systems, intelligent tutoring systems, gamified applications, analytics, or even artificial intelligence have been proposed as technological assets against bullying.Most of these proposals focus on bullying prevention by means of educational applications.However, there is a need of ICT tools that support teachers and other educational staff in the fight against bullying, both at the detection and mitigation stage.In this paper, we propose a novel ICT tool focused on bullying mitigation and detection.This tool is currently composed by two different components.One the one hand, this tool integrates several validated tests in order to determine the potential risk of an individual for becoming a victim or a bully.On the other hand, it also provides a notification mechanism for anonymously reporting situations related to bullying.By considering both components, the tool is able to determine those actions that should be considered by teachers and educational staff in order to mitigate potential problems and prevent future situations related to bullying.
An Empirical Study of the Effect of Phonetic Teaching on the Listening Ability of Marine College Students—Based on SPSS Software

Taking sophomores in a marine college as the subjects, the aim of this study is to analyze the effects of phonetic teaching on students' listening ability as well as the correlation between the level of students' pronunciation and listening ability.After the experimental teaching, data are collected and input into Statistical Product and Service Solutions (SPSS) software.Descriptive statistics of the data, independent samples t-test, paired samples t-test and Pearson correlation analysis are carried out.The results show that the listening ability of the students in the experimental class with phonetic training is significantly different from those in the control class, and the students' pronunciation level and listening ability is significantly and positively correlated.
Computer manipulator for patients with disabilities

Different types of existing replacements for a computer mouse are analyzed. The structure and construction of the original computer manipulator is described. Advantages and drawbacks of the developed device are discussed.
Research on the Japanese Learning Network Resources and Its Application

In today's society, the demand for Japanese learners is getting higher and higher, hoping that colleges and universities will be able to train compound Japanese talents who meet the market economy needs in the 21st century.However, "the lack of suitable teaching materials and insufficient information on resources" is a serious problem plaguing the majority of Japanese educators and learners.This problem is especially noticeable at the advanced stage.With the development of information technology, increasingly rich network resources bring new possibilities and opportunities for Japanese language learning.This paper, therefore, will introduce some convenient and effective network resources to overcome the limitations of existing conditions and to improve the efficiency of learning and researching Japanese.
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing

The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three functionalities on how we might best harness computing technologies to supporting the goals of public health organizations in minimizing morbidity and mortality associated with the spread of COVID-19, while protecting the civil liberties of individuals. In particular, this work advocates for a third-party–free approach to assisted mobile contact tracing, because such an approach mitigates the security and privacy risks of requiring a trusted third party. We also explicitly consider the inferential risks involved in any contract tracing system, where any alert to a user could itself give rise to de-anonymizing information. More generally, we hope to participate in bringing together colleagues in industry, academia, and civil society to discuss and converge on ideas around a critical issue rising with attempts to mitigate the COVID-19 pandemic.
Association rules mining with three-dimensional data structure

Association rules mining progresses year by year. There are many algorithms of association rules mining. The most popular are the Apriori algorithm and the FP-Growth algorithm. But these algorithms have disadvantages. The Apriori algorithm requires many transaction base passes. The FP-Growth algorithm uses a many-edged (non-binary) tree data structure. Algorithm is characterized by the data structure used in it. We discover an association rules mining algorithm using three-dimensional data structure. Algorithm needs only two transaction base passes. The first pass is to insert transactions in three-dimensional data structure. The second pass is to count support of extracted from three-dimensional data structure itemsets. The algorithm tested and compared with the Apriori algorithm and the FP-Growth algorithm. The algorithm is more effective by memory usage than the FP-Growth algorithm, when number of unique elements is between 10 and 868, and the Apriori algorithm, when number of unique elements is between 49 and 498.
Similarity Evaluation with Wikipedia Features

Wikipedia provides rich semantic features e.g., text, link, and category structure. These features can be used to compute semantic similarity (SS) between words or concepts. However, some existing Wikipedia-based SS methods either rely on a single feature or do not incorporate the underlying statistics of different features. We propose novel vector representations of Wikipedia concepts by integrating their multiple semantic features. We utilize the available statistics of these features in Wikipedia to compute their weights. These weights signify the contribution of each feature in similarity evaluation according to its level of importance. The experimental evaluation shows that our new methods obtain better results on SS datasets in comparison with state-of-the-art SS methods.
8th International Workshop on Mining Scientific Publications (WOSP 2020)

The entire body of research literature is currently estimated at 100-150 million publications with an annual increase of around 1.5 million. Systematically reading and analysing the full body of knowledge is now beyond the capacities of any human being. Consequently, it is important to better understand how we can leverage Natural Language Processing/Text Mining techniques to aid knowledge creation and improve the process by which research is being done. This workshop aims to bring together people from different backgrounds who: (a) have experience with analysing and mining databases of scientific publications, (b) develop systems that enable such analysis and mining of scientific databases (especially those who manage publication databases) or (c) who develop novel technologies that improve the way research is being done.
Evolving Taxonomy Based on Graph Neural Networks

Taxonomy is the human understanding and organizing of domain knowledge. How to automatically evolve taxonomy becomes critical in this knowledge explosion world. In this paper, we introduce a model to automatically updating taxonomy in a semi-supervised learning way. In our model, the goal is to train a graph neural network model, which can efficiently classify the edge between newly add term with and existing term to be the three types: true hyponym-hypernym relation, transductive hyponym-hypernym relation, and false hyponym-hypernym relation. We explore the ability of graph convolutional neural network, hyperbolic graph convolutional neural network and graph attention network to fulfill this task. We conduct an experiment on SemEval-2016 Task 13 data to test the quality of taxonomy obtained through evolution compared with the winning team's regeneration algorithms.
Мультимедиатизация региональной журналистики: формирование современного контента

In article questions of change of a role of traditional mass media, processes of a multimediatization of journalism which are raised by digital revolution, change of technical capabilities of both the producer of information (media), and the consumer of news are considered. Influence of a global multimedia tendency forces regional editions of online media to experiment with new multimedia genres. The author of article gives examples of multimedia elements which help to draw public attention, to diversify a news flow and that is more important, to improve perception of information.On the basis of the conducted research of tools of multimedia journalism and methods of their use in the Voronezh media it is possible to draw the following conclusion: the multimedia journalism at the regional level still is in a stage of formation and development: editions try new tools and monitor reaction of the public. The main prerequisite of development of multimedia journalism in Voronezh is existence of available services for visualization of information and its representation in a multimedia key. These tools are simple in use and do not demand special skills.
Медиакритика на профессиональных и любительских YouTube-каналах как фактор развития медиаграмотности

The YouTube platform has become a full-fledged platform for the development of media criticism both within journalistic channels and amateur vlogs. Media criticism as a phenomenon is studied as a tool of media education, which helps to form the media literacy of the audience, and as a field of journalism, considering the problems of media space development. In connection with the active development of this direction on social media platforms, there is a need to revise the boundaries of the phenomenon of media criticism and include among its full-fledged authors not only journalists, but also bloggers who regularly cover this topic. Over the past two years, the number of YouTube channels of professional journalists who regularly publish media criticism has increased dramatically. However, even earlier there was a trend of development of media critical issues in non-professional, but extremely popular vlogs with a million mostly young audience. In recent years, media criticism has become a constant on universal thematic channels, and channels devoted exclusively to media criticism have also appeared. YouTube channels with media criticism can be considered as a source of the basics of media literacy on behalf of opinion leaders of the younger generation.
Comparative Analysis of MCT Load Balancing Approach in Cloud Computing Environment

The efficient working of cloud computing is based on the most important aspect, which is load balancing. This paper gives a comparison and analysis of the load balancing algorithms in a cloud computing environment. The task and resource allocation is most important for efficient working of cloud computing. The load balancing is referring to task and resource allocation in an efficient manner as this [5] is related to NP-hard optimization problem. Load distribution in the cloud computing environment in an efficient manner and taking care of all the problems at the time of load balancing is most important for load balancing algorithms. The researchers have researched on various algorithms for overcoming the load balancing generating problem during the task and resource allocation phase. In this paper, the focus is on discussing the load balancing classification and their algorithms. This paper lays emphasis on heuristic algorithms and measures the performance using the CloudSim simulator.
Research on the Development of Teaching Material Resources in the Times of Media

With the development of computer network technology and communication technology and the popularization of intelligent devices, the application of IT technology and Internet and Internet of things technology has brought profound changes in the field of education.Students are no longer satisfied with the learning in the classroom.The rich way of learning broadens the access to knowledge.The combination of online learning and fragmented learning and other learning methods at anytime and anywhere has become the main way to acquire knowledge.People's reading environment and reading habits have been hitherto unknown changes, only a short while ago, teaching resources also appeared to undergo some column transformation, presenting a new form of traditional textbooks and digital publishing: the integration of development, integration and development of printing paper with rich media resources, integration and development of paper materials and digital resources.