Reviewerly/exHarmony huggingface dataset:
THE RESEARCH ON DYNAMIC CYCLE MONITORING OF TRANSFORMER SUBSTATION MODULAR DATA CENTER CONFIGURATION BASED ON INTELLIGENT ASSISTANT

With the development of social production, higher requirements are put forward for the power grid transmission capacity; therefore, the power enterprises should continue to expand their power grid scale.The transformer substation is the basis of the expansion of the power grid scale, and the dynamic data monitoring of the transformer substation is the basis of the stable operation of the power grid.The intelligent auxiliary technology analysis dynamically monitors the distribution cabinet, UPS power supply, temperature and humidity, heat dissipation equipment, and alarm equipment of the transformer substation, and connects the data obtained with the data centre of the transformer substation to realize the intelligent management of the transformer substation.Due to the wide range of intelligent auxiliary technology, there are many dynamic cycle monitoring data in transformer substation, making real-time monitoring delay and leading to inaccurate data processing results.Rough sets optimize and improve the intelligent auxiliary technology through the simplified calculation method.Through data discovery, processing learning, expert system, and problem reasoning, the key information in dynamic cycle monitoring is found, and early warning information is sent to the management centre in time.The MATLAB simulation results show that the improved intelligent assistant technology can reduce 30 pieces of information in dynamic cycle monitoring and obtain 22 key data information.The data processing time is reduced by 20%, and the accuracy of early warning information reaches 99.2%.Therefore, the dynamic cycle monitoring effect of the improved intelligent auxiliary technology is better, and the processing speed is higher, which is suitable for the dynamic cycle monitoring of transformer substation modular data centre configuration.
ANALYSIS OF TEACHERS’ PREPAREDNESS TO WORK IN THE INCLUSIVE EDUCATION CONDITIONS

Abstract. The article analyzes the teachers᾿ readiness to work in field of inclusive education. It is emphasized that in the context of educational reforms, the question of the feasibility of introducing inclusive education has become acute. This involves educating children with disabilities in comprehensive schools and kindergartens ‒ together with peers who are developing normally. According to the content of the modern national education model, it is assumed that the number of people with disabilities who get educational services in public institutions will increase. At the same time, in accordance with the national action strategy in the interests of children, it is planned to reduce the number of children with disabilities who remained outside the education system, for some objective reasons. Accordingly, it requires new demands on teachers, requires the expansion of their functional responsibilities, changes in professionally significant and personal characteristics. Modern society makes new demands on teachers ‒ the willingness and ability to teach all children without exceptions, regardless of their inclinations, abilities and disabilities. At the same time, the widespread use of a new category of children in kindergartens and secondary schools has led to changes in the teachers᾿ working conditions. The range of teachers᾿ pedagogical interests has significantly expanded. There is a social demand for updating the content of professional training, which includes issues of inclusive education. As a result of the conducted empirical research showed mostly the average, and also low readiness level for work in the inclusive education conditions. The respondents revealed interest in the education problems and raising children with disabilities together with their healthy peers, but just a small number of teachers are willing to work in these conditions. The reason is the lack of knowledges about the peculiarities of the children development, their special educational needs and the pace of progress in the educational process.
The Progress of Cryptocurrency Assets Investment from Financial Perspectives: Risks, Comparisons and Impacts

Cryptocurrencies have become increasingly popular in recent years.As cryptocurrency prices have soared a lot since 2008, plenty of investors choose to invest in cryptocurrencies driven by speculative motives.With the development of cryptocurrencies, the feasibility to act as a medium of exchange them is also explored by some companies.Starting from cryptocurrencies' current role as speculative products, this paper discusses the possible risks existing in the investment process and methods to prevent them.To explain their possibility of being the trading medium, we take Bitcoin, a widely held cryptocurrency, as the subject to compare it with other kinds of currencies, e.g., Dogecoin, Ethereum, Central Bank Digital Currency and traditional currencies.Among the greatest affecting affairs of virtual capital, we choose the cases of Tesla and Tencent to explain their impacts on our daily lives from the micro perspective.As for the macro perspective, we concentrate on its impacts on accounting methods and financial order development.This paper aims to enhance a comprehensive understanding of Bitcoin through multi-dimensional analysis, which sheds light on cryptocurrency and blockchain investing.
Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as Well as Their Visualization

We present a case study on a journey about a personal data collection of carnivorous plant species habitats, and the resulting scientific exploration of location data biases, data errors, location hiding, and data plausibility. While initially driven by personal interest, our work led to the analysis and development of various means for visualizing threats to insight from geo-tagged social media data. In the course of this endeavor we analyzed local and global geographic distributions and their inaccuracies. We also contribute Motion Plausibility Profiles-a new means for visualizing how believable a specific contributor's location data is or if it was likely manipulated. We then compared our own repurposed social media dataset with data from a dedicated citizen science project. Compared to biases and errors in the literature on traditional citizen science data, with our visualizations we could also identify some new types or show new aspects for known ones. Moreover, we demonstrate several types of errors and biases for repurposed social media data. Please note that people with color impairments may consider our alternative paper version.
HCI based on eye movements for unlocking mobile devices

This paper addresses the implementation of an eye detection mobile application for unlocking mobile devices using its built camera as an eye tracker. The implementation allows a real-time face and eye detection of a mobile phone user. The idea behind our development was the creation of a preventive model for the benefit and safety of mobile users, including disabled users (e.g., users with arthritis). The product is a visual application that detects the pupils and can simulate the mouse cursor on the screen to unlock the device. Although some screen lock methods have been already developed, our project aims to complement the security in mobile devices. Moreover, with a new mechanism to unlock mobile devices it would offer a more robust alternative in terms of safety of such devices. Evaluation results suggest our implementation is a promising alternative for security in these devices.
Teaching Design of <i>p</i>–<i>π</i> Conjugation in Blended Teaching of Pharmaceutical Organic Chemistry

The understanding and application of p-π conjugation effect is very important for students of pharmaceutical major to learn the chemical properties of organic compounds, but most students can't understand and apply the knowledge by traditional teaching method.Blended teaching has the advantages of traditional teaching and modern information technology teaching mode.Based on the student-centered modular blended teaching of pharmaceutical organic chemistry, the blended teaching program of p-π conjugate is designed.Firstly, the learning objectives of knowledge, ideology and politics are set.And then the network learning content are designed, including the formation conditions of p-π conjugate system, the connotation of p-π conjugate effect and the application of p-π conjugate effect.Meanwhile, the test problems are posted on the learning platform to examine the learning effect.The classroom discussion is carried out around the knowledge objectives, as well as ideological and political objectives to solve students' problems.In the whole process, learning and teaching feedback should be carried out in time, and then teaching will be adjusted and improved according to students' learning, so as to realize student-centered teaching and enable students to learn effectively, systematically and actively.
ADAPTATION OF STUDENTS TO RESEARCH AND PROFESSIONAL ACTIVITIES BASED ON THE USE OF THE UNIVERSITY HACKATHON ECOSYSTEM

BACKGROUND AND OBJECTIVES. For student youth the process of entering the profession and harmonization of interactions with professional environment and future professional activity is the key moment of life activity. This process, according to the majority of modern researchers, is a certain complexity and contradiction both for students and for higher education institution, as well as social institutions and organizations acting as social customers.METHODS. The study of the process of adaptation of student youth to research and professional activity was carried out on the basis of the Kyiv National University of Technologies and Design. Assessment of students' expectations regarding studies, the level of students' awareness of the future professional and scientific activity was carried out with the help of the University Hackathon Ecosystem toolkit. Processing of the obtained results of the survey was carried out on the basis of the "Methodology of research of students' adaptability to dual education in higher education". The methodology includes two scales: adaptability to professional activity and adaptability to research activity.FINDINGS. The following directions of training are distinguished: professional, social and research, as well as stages of adaptation to professional training: learning identification, learning-professional activation, professional-value reflection. Integration of these directions allows us to organize activities that ensure formation of necessary professionally important qualities (competences) in students (graduates), agreed with potential employers and demanded by the corresponding profession. The conducted experiment on the basis of Hackathon-ecosystem of the university was carried out taking into account the directions of training and their corresponding adaptation criteria: professional direction – activity-result and motivation-value criteria; humanitarian – communication-professional criterion; research – personal-creative criterion.CONCLUSION. Students' adaptation to future professional and research activities can be defined as one of the most urgent social problems at the pre-production stage. This is due to the fact that the student spends one of the main periods of his life in a higher education institution, since it is at this time he is formed as a professional and as a person, masters the necessary competencies in order to achieve a certain professional and research level. At this stage the professional intentions of the individual and the requirements of the profession come into alignment, i.e. there is an adaptation to professional and research activities.
Working with Two Texts

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
Analysis of Scope of Data Mining in Fraud Detection and Studying Solutions to Prevent Them

This paper will explain the process of fraud detection suing datamining techniques. Fraud detection is important task and many domains have risk of attack of fraudsters in the data that they have stored. It is very important that each domain like banking etc should have reliable fraud detection scheme so that the personal details of the users of the banks is safe and secure. There are a lot of techniques which can be used to detect fraud attack in the system
INTERACTIVE TEACHING AND LEARNING IN THE EDUCATIONAL TRAINING COURSE FOR PEDAGOGICS STUDENTS

Contemporary student learning is lagging in the use of interactive and computer-based technologies. Therefore, more systematic use of computer-based technologies combined with traditional methods can lead to better results in the academic preparation of student educators. This article discusses teaching and learning methods and techniques that have been designed and tested in working with student educators. They are used in 30% of the study time during the students' exercises and practical work. The methods used include research and development of presentations by students on the main topics of teaching methodology in class - civil, health, environmental and intercultural education. Another group of methods is related to authentic e-learning assignments, assignments, and activities in e-learning textbooks for students. The third group included tasks for digital selection and arrangement of information systems, tasks and activities for conducting lessons and various classes, including working with parents, charitable activities, preparation for holidays, self-organization and more. The last group of methods relates to the development of short digital didactic materials prepared for young students by the student educators - photo galleries, games, videos, test papers, etc. mainly for safe road traffic, disaster and accident protection, environmental protection, sports and tourist activities and more. These methods and techniques were applied over a course of 30 academic hours per semester. The experimental work involved four groups - two experimental ones of 36 students and 2 control groups of 36 students. The work of the students in the experimental groups was both independent and team-based. The teams were dynamic and composed according to different criteria. The results of the study showed the effectiveness of the interactive, computer-based methods and techniques of teaching and learning by three criteria - motivation, academic achievement and teamwork skills. The highest differences of 12% -14% were obtained in the motivation and teamwork skills of the students in the experimental classes. The difference in the knowledge and skills of these students on the topics and problems studied in the methodology is not significant enough. Nevertheless, they show 8% higher results in the performed tests
Counting Relative Frequencies

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
Developing the intellectual and social capital of universities for sustainable development: innovative competence of the teacher and knowledge management

Intellectual and social capital is becoming an important economic resource for the development of an organization and a country. Universities that represent education, science and innovation are increasingly focusing on improving the intellectual and social capital of workers and organizations. The purpose of the article is to identify the features of the increment of the innovative potential of the university for the development of the intellectual and social capital of the organization as an economic resource for the sustainable development of the university in the era of the Internet and the knowledge society. The study found that in order to increase the intellectual and social capital of an organization, it is necessary to create a special innovative environment for interaction, discussions and trainings at the interdepartmental and interfaculty level of staff and students. The development of the intellectual potential of employees can be ensured through the improvement of the innovative competence of teachers and students. This competence is proposed to include information on knowledge management, knowledge flows, diffusion of innovations,etc. Innovation competence will help to give not only a certain economic effect through the creation of new innovative products or educational services based on cooperation of scientists from different directions, but also strengthen the professional pedagogical competence of teachers.
A Digital Copyright Protection Method Based on Blockchain

Traditional centralized digital copyright protection is weak in security and difficult to manage. In order to protect digital assets from unauthorized use and to solve the centralized regulatory challenges, blockchain technology is used to enhance the protection of digital works copyrights. This paper proposed a digital works copyright protection architecture based on the Consortium Blockchain, and elaborate on the security problems and solutions faced by the architecture. Moreover, the Diffie-Hellman algorithm is improved based on the Shamir algorithm to make it more suitable for the characteristics of blockchain. Finally, a smart contract is written according to the characteristics and process of digital copyright protection, and a Fabric-based digital copyright protection solution is implemented. The feasibility and effectiveness of using blockchain for digital copyright protection proposed in this paper are proved through experiments, Furthermore, the extensibility of the solution is discussed.
TRANSTORNO MENTAL E COMPORTAMENTAL NO ESTADO DE SÃO PAULO: VARIAÇÕES DA MORTALIDADE E MORBIDADE DE 2017 A 2020

Mental and behavioral disorders are influenced by a combination of factors that affect an individual's emotional balance and affect people of all ages, sex and social classes, although each group has its specificities. The present study aims to determine the prevalence of hospitalizations caused by Mental and Behavioral Disorders (CMD), considering an age group, gender and an ICD-10 morbidity list in the State of São Paulo between the years 2017 to 2020. This research was an ecological study on the prevalence of cases of mental and commercial disorders in the State of São Paulo. Data were collected on the DATASUS platform, where the number of admissions according to gender, age and ICD-10 morbidity list in the 2017-2020 period were surveyed. The results obtained revealed a growing increase in CMD cases in the state, especially from 2018 to 2019 with a subsequent fall in 2020, with, from 2017 to 2020, approximately 58.81% prevalence of CMD in sex and approximately 41.19% prevalence in sex female, mainly affecting people aged 30 to 39 years, higher prevalence of mood in females (67.18%) and CMD due to alcohol use in females (87.89%). It is concluded that amidst the pandemic against COVID-19, several patients considered without a diagnosis of Mental and Behavioral Disorders, because of this, it is possible that after the pandemic there are a greater number than expected of patients with more advanced conditions due to the absence of an early diagnosis.
대학생 글로벌 시민역량 향상을 위한 교과목 개발 사례 연구

This study is a case study on the development and operation of 「Global Issues and Civic Competency」 as a geneal education subject at S University. Globalization is accelerating and various global issues are occurring, and global citizenship education is becoming more and more important in higher education beyond elementary and secondary education. This course has been developed and operated through literature research, demand survey, and curriculum deliberation meeting. It is a competency-based subject that applies teaching methods such as PBL-style team projects, havruta discussions, and lectures. In light of the learner's survey results, understanding global issues and global citizenship, as well as improving convergence and problem-solving abilities appeared to be advanced. This study provided basic data for developing or operating global citizenship education courses by presenting development examples of 「Global Issues and Citizenship Competency」. Also, this study examined the directions for improvement of this course, and provided implications for development and operation global citizenship education courses as liberal arts courses.
Face Mask Detection using Combination of Classification and Object Detection

In this paper, we have created a system to detect whether a person is wearing a mask or not in public places like the mall, where we have CCTV cameras. The result can be shared with different screens so that others can prevent themself from that person or officials can charge the respective person. The system aims to prevent viral transmission in case of any pandemic.
End-to-End Multiple Object Tracking with Siamese Networks

Multiple Object Tracking (MOT) consists of two components: detection and data association. In the popular tracking-by-detection models, these two components are separate: all objects of interest in a frame are detected first, and then associated with the objects in tracked queues using intersection-over-union (IOU) of bounding box and/or appearance matching. Appearance feature (ID embedding) can be extracted from a separate re-identification model or from a joint model with the detection network. In this paper, a joint detection and tracking model with Siamese structure is proposed for MOT. We apply CenterNet, an anchor free object detector for detection. Motion prediction and appearance matching are implemented with the network for association. Experimental results demonstrate the effectiveness of our model. State-of-the-art MOTA of 69.9% on MOT20 is achieved.