Reviewerly/exHarmony huggingface dataset:
A Deep Learning Technique To Predict Social Distance And Face Mask

The impact of covid-19 has changed the lives of many people. Most of the people in the world have lost their employment and their lives too. In order to protect ourselves from this pandemic we need to follow the guidelines given by the World Health Organisation(WHO).The mainly suggested precautions by them are maintaining social distancing and wearing a face mask. We can easily identify whether the persons are following the guidelines given by WHO or not.Here we use Deep Learning Algorithms in order to predict social distancing and face mask detection.
Teacher Perceptions Toward Closing the Procedural Knowledge Gap among Teachers in Implementing Smart Learning

The research objective was to discern teachers' competence in implementing smart learning tools, identify any present gaps, and make recommendations toward closing the procedural knowledge gap among teachers. This study employed a mixed-method approach that utilized quantitative and qualitative data collection and analysis, utilizing three tools: questionnaires, semi-structured interviews, and school-related documentation. A total of 63 male teachers participated in an online, four-point, forced-choice Likert scale questionnaire, and seven male teachers participated in semi-structured interviews. The results of this study reveal positive perceptions among teachers about integrating technology into their classrooms. The results indicate that the most effective smart learning tools are learning platforms and that teachers' acquisition of their digital skills reflects positively on their students' digital skills, enabling them to reach higher levels of electronic maturity.
Autonomous Boolean network and physical random number generator based on XOR gate

As a controllable nonlinear system, autonomous Boolean network which is easy to generate chaotic signals has become a hot research topic. We realize an 18-node autonomous Boolean network circuit which can generate high entropy chaos by using the nonlinear characteristics of two-input XOR gate, and establish an improved mathematical model for the circuit by introducing the filter coefficient. Through numerical simulation and circuit comparison experiment, we study the influence of filter coefficient and delay parameters on network dynamic characteristics of this model. The numerical simulation results are basically consistent with those of the experimental phenomena. When the transmission delay between nodes is not equal, the filter coefficient has a modulation effect on the generation of chaos, which well indicates that the introduction of the filter coefficient makes the improved mathematical model more objective to describe the physical phenomena in the circuit. In addition, using bifurcation diagram, Lyapunov exponent and permutation entropy, we further analyze the nonlinear characteristics and randomness of the autonomous Boolean network. The output chaotic sequence of the network has the characteristics of high bandwidth, high entropy and strong robustness, which is used to generate high speed physical random sequences and has passed the NIST SP 800-22 randomness tests of National Institute of Standards and Technology of America.
Features of Teaching the Course «Basics of Entrepreneurship» for Future Teachers of Mathematics

The theoretical research is devoted to a number of main problems, which are the lack of an indi- vidual, differentiated approach to the person choosing a profession, the lack of qualified personnel, poor monitoring of the modern labor market. The main content of the proposed modules in the article: “Computer as a means of information processing” considers the safety practices and rules of operation on a computer, computer devices, software, and operating system. Applied course of teaching elements of higher mathematics to future teachers of mathematics “formation of students’ own logical thought and mathematical culture by increasing the level of applied courses of teaching elements of higher mathematics, the formation of students ‘ skills to solve complex non-standard problems, increasing the interest of students of the natural-mathematical direction. “Fundamentals of Entrepreneurship” allows students to get acquainted with the main theoretical aspects of doing business, acquire initial practical skills to create their own business and subsequently use the acquired knowledge and skills to develop business plans, project solutions in the study of professional disciplines. This article shows the current problems of using the methods of the course “Kasipkerlik negizderi” for future teachers of mathematics, the importance of psychological readiness of students to choose a further profession, as well as a more in-depth expansion of the horizons of professions and areas of their activities.Key words: teacher, student, mathematics, technology, methods, educational process, computer, entrepreneurship, professional choice, individual characteristics.
RISAN: Robust Instance Specific Deep Abstention Network

In this paper, we propose deep architectures for learning instance specific abstain (reject option) binary classifiers. The proposed approach uses double sigmoid loss function as described by Kulin Shah and Naresh Manwani in (Online Active Learning of Reject Option Classifiers, AAAI, 2020), as a performance measure. We show that the double sigmoid loss is classification calibrated. We also show that the excess risk of 0-d-1 loss is upper bounded by the excess risk of double sigmoid loss. We derive the generalization error bounds for the proposed architecture for reject option classifiers. To show the effectiveness of the proposed approach, we experiment with several real world datasets. We observe that the proposed approach not only performs comparable to the state-of-the-art approaches, it is also robust against label noise. We also provide visualizations to observe the important features learned by the network corresponding to the abstaining decision.
Qualitative Analysis of the YouTube Video in the Domain of Skin Care using Machine learning

YouTube ranking are the most impressive topic for researchers and the researcher try to get the qualitative content of the YouTube video without watching the video if the user is new its most important for us to enable the user to find the best video as per quality of the content for this purpose we proposed as model which gives us the classification of the comments with its class and also predict  the how much the fake comments are written in the comments section to help the video content to ranked on the YouTube.  This qualitative work helps the research after the preprocessing the comments and filter the fake comments and then find the qualitative comments from the video feedback section. Our proposed model help the user to classify his comments about the skin care videos the skin care means skin care and treatment and if there is some fake comments and fake ideas are putted in the video or comments this will classify and help the user about the video with pure qualitative analysis of the video with comments and this helps us to truly rank the video and the user will get benefits truly. With the help of Machine learning algorithms and feature engineering we meet the target and after this we received the 0.94 F1 score.
LibGuides: Public Relations: Writing & Library Tools/Resources

Library material for Journalism majors concentrating in Public Relations. Additional library tools and writing resources for journalists.
Development of Android-based Kimi Kimo Adventure Game as Learning Media on Chemical Bonds

This research aims to test the development of an android-based Kimi Kimo Adventure game which is feasible as a learning media for Chemical Bonding material at SMK Negeri 1 Driyorejo Gresik. The feasibility of the Kimi Kimo Adventure game is reviewed in terms of validity, practicality, and effectiveness. Validity in terms of content validity and construct validity obtained from the validation results of 3 experts, namely 2 chemistry lecturers at Universitas Negeri Surabaya and 1 chemistry teacher at SMK Negeri 1 Driyorejo Gresik. Practicality was obtained from the results of student observations and student response questionnaires. While the effectiveness is obtained from the students learning outcomes. The research method that was used is research and development carried out until a limited trial. The limited trial was carried out in 18 students from class X at SMK Negeri 1 Driyorejo Gresik. The data that has been obtained from the limited trial of the Kimi Kimo Adventure game has a percentage assessment of (1) Validity consisting of content validity which is very valid and construct validity which is very valid, (2) Practicality consisting from the observation result of student activities which is very practical and the results of the response questionnaire which is very practical, (3) Effectiveness consists the value of studentsâ€™ learning outcomes and the classical completeness between the pretest and posttest has increased. It means the Kimi Kimo Adventure game as a learning media can increase the studentsâ€™ learning outcomes which means the game that has been developed is very effective for use as learning media on chemical bonds. Based on the results of the research, it can be concluded that the Kimi Kimo Adventure game is appropriate for use as a learning medium.
언어 능력과 자연어 처리 : 자연인가 경험인가?

This study reviews two opposing theories regarding human language competence, i.e. the logical nativism vs. empiricism, which is reminiscent of the so-called ‘nature vs. nurture’ dispute originating from Plato’s dialogues. Generative grammar is the representative linguistic theory that embodies the idea of logical nativism, whereas Constructivist theory is the typical experience-based linguistic approach. Connectionist model (deep learning), the leading methodology of current NLP(natural language processing), is reconsidered with respect to the two theories of language competence aforementioned and the empirical nature of deep learning devise is confirmed. By reviewing possibilities and limitations of integration of the empirical approach of connectionism and the rule-based approach of theoretical linguistics discussed by Pater (2019) and others, it is concluded that a hybrid approach is in need. Two additional factors supporting the hybrid approach are provided, one for a proper explanation of the difference between native language acquisition and foreign language acquisition and the other from the empirical nature incorporated in Montague semantics which is fundamentally a rule-based linguistic theory.
Academic productivity of university faculty at the micro and macro levels

The issue presents an assessment of the relationship between the structure of incentive (effective) contracts in Russian universities and the academic productivity of the teaching staff both at the individual (micro-level), and at the macro-level of the university as a whole. Based on the data from the Monitoring of Education Markets and Organizations – surveys of rectors (2015) and teaching staff (2017), and data from the Monitoring of the Efficiency of Higher Education Institutions (2017), the following results were obtained. - Incentive payments for core activities under an effective contract are used more often in universities with a special status (National Research Universities, participants of the ‘5-100’ Project) than in ordinary universities. - The level of the incentive premium in universities with a special status is higher than in universities without it. - The most efficient (productive) are the contracts offered in universities with a special status. - Only a well-designed contract, which takes into account a set of clearly defined performance indicators of the teaching staff, meets the goals of increasing the competitiveness of the Russian higher education.
IMPROVING STUDENTS’ VOCABULARY THROUGH MEDIA APPLICATION ONLINE ‘HELLO ENGLISH’ AT CLASS X

English is an International language that is use comunication between country, Becouse the important of English in Indonesia. Makes the curriculum in the country is obliged to follow the standard of international language.Thus many tool herefore there are lots of methods and media to learn English, especially in this technological era. There are so many interesting information and learning systems. Especially learning by using the online media application 'Hello English' will be very helpful in learning and memorizing vocabulary every day, There is always a message notification on this smart telephon. Making learning fun and not boring, In this application not only messages in words, but there are games, speaking, dictionaries and grammar in English.Result of the research show that using Media Aplication Online ‘Hello English’. Besed on the research of cycle I and cycle II that mean score in cycle I is 71,5 with percentage of passing KKM is 35%. In cycle II is 83 with percentage of passing KKM is 85%. So, Media Aplication Online ‘Helo English’  is effective and enjoyable to improve the students’ vocabulary achievement. the target of ClassroomAction Research (CAR) success, which above 24% students that could pass the KKM. Automatically, it can be said that the Classroom Action Research (CAR) is success and cycle could be stopped.
A correlational study of MUET and IELTS

The present century has seen the rapid globalisation of Higher Education, and increasing numbers of Malaysian students are seeking to study in universities abroad, and increasing numbers of students from abroad are seeking to enter universities in Malaysia. The MUET has long been established as the English test for university entrance in Malaysia, and in the context of globalisation, it is essential to know how it compares with other established English tests. The overall aim of this study is to compare MUET Band scores with IELTS Band scores. A correlational study was undertaken to measure the statistical association between MUET and IELTS Band scores.
Emerging Trends in Knowledge Management and Its Effect on Performance during the Pandemic

Knowledge gaining, sharing and knowledge management was always a key for success for any organization its employees all the time. Based on knowledge of the managements and its people, organizations have emerged, grown and shown trends with technological developments and innovative solutions to the challenges for day-to-day life. However, it is also clear that other functions and demand from the business requirements made many organizations and employees to spend less time on enhancing knowledge and further upgrading themselves and the reason given was busy in day-to-day activities. Logistics and travel time from home to office, stress of work etc. added further challenges to the wishes of employees for spending time to upgrade knowledge. Then we had suddenly, the effects of pandemic in the name of COVID-19 and its impact on life. Since many people must work from home and suddenly lot of time, the focus on knowledge sharing through webinars, online interactions have emerged. Every organization keep eye on performances even in such situation for their survival and livelihood of its employees and are eager to see effect of these knowledge sharing sessions on the performances of employees and result into business gain.
Enseñanza remota a causa del COVID-19 : emociones de los practicantes de la Licenciatura en Lenguas Modernas de la PUJ

The objective of this research is to characterize the emotions of the Modern Languages students at PUJ during their remote pedagogical practicum. For this purpose, a qualitative approach was chosen, and a theoretical framework was developed with the following categories: (1) Emotions and their classification, and (2) Pedagogical practice in L2 contexts. In order to collect the necessary data, instruments such as a questionnaire (adapted from the PANAS) and a focus group were used. The results suggest that positive emotions predominate in the teaching practicum, particularly interest and joy. Additionally, it was found that the relationship of the trainees with the language is the most emotional area. The results also indicate that in remote practicum, the camera and the Internet are elements that have an impact on the trainees' emotions. It is concluded that the trainee teachers, during their practice, were between interest, joy, and nervousness.
KEMUDAHAN APLIKASI GOOGLE FORM SELAMA PROSES PEMBELAJARAN SISWA MASA PANDEMI COVID 19

The purpose of this study was to obtain information about the used of the google form application during the pandemic at SMP Negeri 5 Tarakan. This study used a descriptive quantitative method with survey data collection techniques and documentation. Respondents in this study were 50 students randomly. The results of this study was students can take advantage of the google form application during learning during the Covid-19 pandemic, because of the ease of access which was approved by 92% of students, the ease of filling features which were approved by 86% of students, accurate presentation which was approved by 84% of students. , and its non-paper-based use which is approved by 70% of students so that this google form application can be used easily during the learning process.
INNOVATIVE APPROACHES IN HIGHER EDUCATION IN THE FIELD OF COMPUTER SCIENCE (REVIEW OF THE INTERNATIONAL CONFERENCE)

The article discusses current approaches to training students as highly qualified IT specialists and recommendations on the integration of advanced educational technologies, which were discussed at the second International Conference Innovative Approaches in Computer Science within Higher Education, which took place in November, 2020 in Ekaterinburg. Issues under investigation include fundamentally new educational techniques, training tools, the use of information and communication technologies, gamification of education, the formation of applied competencies of future specialists in software engineering and etc. The experience of IT-companies integration with educational institutions is highlighted and the strategy of this integration within the educational process are discussed.
Integrating virtual reality in qualitative research methods: Making a case for the VR-assisted interview

Virtual reality (VR) is still very much a niche technology despite its increasing popularity since recent years. VR has now reached a point where it can offer photorealistic experiences, while also being consumer-friendly and affordable. However, so far only a very limited amount of software has been developed for the specific purpose of conducting (social science) research. In this article, we illustrate that integrating virtual reality to good effect in social science research does not necessarily require specialized hardware or software, an abundance of expertise regarding VR-technology or even a large budget. We do this by discussing our use of a method we have come to call ‘VR-assisted interviews’: conducting a (semi-structured) interview while respondents are confronted with a virtual environment viewed via a VR-headset. This method allows respondents to focus on what they are seeing and experiencing, instead of having them worry about how to operate a device and navigate an interface they are using for the first time. ‘VR-assisted interviews’ are very user-friendly for respondents but also limits options for interactiveness. We believe this method can be a valuable alternative, both because of methodological and practical considerations, for more complex applications of VR-technology in social science research.
Development of Personality Spontaneity by Tools of Playback Theater

The relevance of the research topic is due to the fact that the issue of the positive manifestation of such a human character trait as spontaneity has not been sufficiently studied. In the results the developmental program of personality development by means of the Playback Theater aimed at the development of personality spontaneity was developed and tested. Spontaneity is a quality that arises from self-confidence and confidence in the world, inherent in self-actualized people. The ability to spontaneously testifies to the possibility of such a behavior that is not calculated in advance, that a person is not afraid to behave naturally and uninhibited, to show others their emotions. The forms of Playback Theater used in the molding program are not only a creative tool for the creation of Playback performances, but also an adequate mechanism for the development of personality spontaneity. The authors show the appropriateness of developing the spontaneity of the individual through such a form of creativity as the Playback Theater. The forming program for developing personality spontaneity can be useful and used to solve a wide range of tasks in various contexts, which is reflected in the recommendations for its use.
Scientific Workflow Scheduling by Adaptive Approaches with Convex Optimization in Cloud Environment

Scientific workflows includes large scale data transfer which consumes resources of a system. Cloud is a dynamic environment where VMs are rented as per need. The scheduling of tasks to a VM in cloud system depends on multi objectives at a time, not on single objective. For scheduling the workflow tasks on VMs, efficient techniques are needed. To make a cloud system an efficient one, its resources need as maximum utilization as possible. If we talk about VMs, Virtual system has made scheduling fast in all aspects yet scheduling needs an efficient way so that total various quality parameters like total execution time, total execution cost, energy consumption as well as response time can be minimized. The aim of this study is to perform tasks migration from less utilized cloud resources to other ones but without increase in total execution time. We proposed a better optimization approach and applied the same on already scheduled tasks to cloud resources. The proposed approach called TBW optimization approach is based on implementation of three optimization techniques named Tabu optimization, Bayesian Optimization and Whale Optimization. In this research, our goal is to improve the utilization of cloud resources as well as enhancing the performance of the cloud system. The experiments using different scientific workflows highlights that TBW optimization highlights the effectiveness and better results than existing approaches like GA-PSO, Whale optimization, GA and PSO.
Factors Influencing Preventive Behavior against COVID-19 among Dental Hygiene Students

Objectives: The purpose of this study is to investigate factors influencing preventive behavior against COVID-19 among college students majoring in dental hygiene. Methods: This study is based on a questionnaire survey via online collected from students currently majoring in dental hygiene from 2 colleges in Busan area. Subjects were informed of the purpose and the necessity of the study and agreed to participate in the investigation beforehand. Results: Preventive behavior against COVID-19 was highly affected by attitude and knowledge of COVID-19. Conclusions: Knowledge and attitude toward COVID-19 have significant effect on preventive behavior against COVID-19