Reviewerly/exHarmony huggingface dataset:
Research on Vocal Music Teaching Reform and Employment Direction of Music Education Major in Normal University

Students in music major in universities mainly engaged in music education work after graduation. Its professional nature determines the employment area is relatively narrow. Social demand is small. The requirements to graduated students are higher and higher. The society requires students to have both excellent professional performance and high quality. Therefore, how to cultivate music professionals in normal universities has become an important topic in music education in normal universities.
Teaching English as a Foreign Language Fantasized about 5G (Is it Okay for Us?)

5G has supplied the world with the fastest technology available to the general public from 2020 to the present. Several major countries,notably Tiongkok, the United States, and many others, competed to enhance national human strength to reach the 5G technologicalcomprehension limit. Following modern countries, South Korea, for example, utilized their generation at this era and learned to developtheir system to synergize with habit and societal character. This generation had quite recently proceeded to work with a country that hasachieved human power and an equitable national system. Furthermore, both developed and underdeveloped nations have been mostlyunresponsive to the benefits of 5G connection. Therefore, impact the unpreparedness of human capital, as well as national obligations,impeded the willingness to adapt and accept the system of the next generation. According to the findings of this descriptive study, fewerstudies focused on TEFL, while the majority focused on general education and how to use new technology generation. In brief, weconcluded that one nation's success depends on policy fairness and critical awareness to establish wealth and knowledge.
Face Verification Experiments on Moodle Quiz

The Covid-19 pandemic imposed technological challenges so that education could continue during the imposed social isolation. One of the challenges of this pandemic is online assessments. This work presents experimental results of two plugins, one for facial verification and another for access reporting, both open source, available in the Moodle Learning Management System. The first plugin was tested with 31 users. The results show the feasibility of use, with an average approval rate of 76% through a questionnaire applied to 16 users in optional online activities performed in Moodle at the end of 2020 and beginning of 2021.
Comparing quantitative and comment-based ratings for recommending open educational resources

The recent application of recommender systems for educational resources and e-learning has facilitated online and accessible education on social networks. However, there are currently few studies about the methods for evaluation and performance measurement of these recommender systems in the complicated environment of educational and social networking platforms. The purpose of this research paper is to investigate the effectiveness of using sentiment analysis methods for educational resources based on user comments and compare it with the quantitative approach based on user rating to recommend best open learning resources (OER) available through online OER repositories. The quality of the OER will be justified by comparing the user rating and the users' reviews. The quality of users' reviews is based on calculating the term frequency for selected positive and negative terms, then determining the similarity among the comments. Comments with positive or negative words confirm the high and low ratings respectively. Keywords: Open Education Resources, OER, Recommender Systems, Sentiment Analysis.
Professional-Oriented Training Of The Would-Be Economists

At the turn of the second and third millennia, it becomes more apparent that humanity develops towards expanding the relationship and interdependence of various countries, peoples and their cultures.This process covered various spheres of public life of all countries of the world.Today it is impossible to find ethnic communities that would not have experienced an impact on the part of the cultures of other peoples.This was expressed in the rapid growth of cultural exchanges and direct contacts between state institutions, social groups, social movements and individual individuals of different countries and cultures.Socio-economic changes led to the need to modernize many social institutions, and first of all, education systems, which is directly related to economic processes.A developing society needs modernly educated, moral, enterprising people who can independently make responsible decisions in a selection situation, be mobile, dynamic, constructive specialists, have a developed sense of responsibility for the destiny of the country.Satisfying the needs of society requires a modern specialist of high culture, deep morality, a formed system of values and beliefs, civil position, interest in the results of its labor.In this regard, one of the main tasks, along with the formation of a harmoniously developed personality, is the task of forming a professionally competent specialist.
Island Eye Island Ear

For more than ten years since 1974, Tudor collaborated with Fujiko Nakaya and Jackie Monnier on a grand-scale project to convert an entire island into a musical instrument. His plan was to play back recordings of sounds recorded at various locations on an island via parabolic antenna loudspeakers installed throughout the same island, which created sound beams modulated by wind that visitors would hear only when they crossed paths with them. Although Tudor spoke of the aim of <italic>Island Eye Island Ear</italic> as an attempt to examine the maximum scale of feedback, neither electronic nor acoustic feedback appears in the plan. This puzzle can only be solved by accounting for the experience of the visitors who walk around the island-instrument hearing one sound and reflecting on another heard before, something Tudor was exploring in other works from the same period such as <italic>Rainforest</italic>. The fact that the island project was met by criticisms of environmental destruction and remained unfinished points to the idiosyncratic nature of Tudor’s conception of “nature” derived from the teachings of Rudolf Steiner, and hints at the possible limit of his conceptual and physical enhancement of what musical instruments can be.
Japan Association of Mineralogical Sciences

The Asian continent, occupying the greatest portion of Eurasia, is the largest and the youngest continent of the seven continents on Earth.The main portion of the continent was formed by the amalgamation of the Siberian Craton with a series of Peri-Siberian terranes and several cratons/microcontinents that surrounded the Gondwana supercontinent (Li et al. 2018).The amalgamation lasted until the early Mesozoic and produced the Proto-Asian continent.The collision of part of Gondwana (i.e., India with Sri Lanka) with Proto-Asia completed the geologic and climatic frameworks present in Asia during the Cenozoic.However, except for India, China, Korea, and Japan, there are still many geologically obscure terranes that make up the Asian continent.
Hybrid Sentiment Analyzer for Opinion Mining Indian Admission Scenario

Social media has become one of the widely acclaimed tool for sharing information as well as expressing ideas and emotions. The work depicts the dual aspect task of analyzing and comprehending data available on Twitter platform. This is done using NLP techniques. Using Latent Dirichlet Allocation (LDA) topic technique; the major topics discussed in tweets (of data set taken), have been identified. The input for this Latent Dirichlet Allocation is given by NLP technique – Bag of Words. For further processing, identification of the underlying emotions contained in tweets using the techniques of Sentiment Analysis is done. The result of sentiment analysis is in the polar form. As a case study, a scenario of admissions in India for UG and PG has been considered. The whole process has captured the opinions of stake holders taking part in the admission process. Tweeter data of Indian Institute of Technology (IIT) admission has been used to collect the data in order to conduct the experiment. Major topics discussed in tweets and the fundamental emotions contained are obtained as results along with the polarity of the tweets.
Health Monitoring Using Cloud based Internet of Things

The proposed structures for far flung properly being looking offer three diploma engineering. A far flung body place network (WBAN), incorporates of wearable sensor because the facts acquision unit, correspondence and organizing, and the management layer. The framework is supposed for lengthy haul stockpiling of patient's biomedical data too helping health specialists with symptomatic data. The wearable sensors that degree the physiological parameters, as an example, circulatory strain, inner warmth degree are related to the system thru concentrators (PDA). The sensor statistics is transmitted to a passage server thru Bluetooth affiliation. The passage server transforms the records right into a notion and the executives file and stores it on a much flung server for later recovery by using clinicians through the internet. Cloud getting ready has 3 unmistakable elements: stockpiling, examination, and representation. The information of the sufferers is located away in cloud for long haul. Investigation makes use of the sensor statistics alongside e-health information and assists with finding and visualizations of infections. Notion makes the records and dissect open to the doctors in a proper away absorbable enterprise. No matter the reality that there are numerous benefits of allotted computing. Anyhow, it has safety strings of essential non-public information. Customers of cloud innovation can not rely upon the cloud management sup-forceps for the safety of the important thriller information. On this way, a third-birthday party Authenticator is needed which confirms the cloud records from the side of clients or holders of the data. Safety of sensitive information is of faulty nature due to the nearness of various substances. Cloud service carriers alongside facts users are further on top of things for putting the safety of the critical thriller data in threat.
Storage and Security Issues of Medical Images using Cloud Platform

In this current era of technology people are interested more in online medical facilities for more faster and comfortable life. Because of huge demand, health care field is growing rapidly. The data in the form of x-rays, diagnosis reports, MRI images, videos is generated. Such form of data consumes large amount of storage space and processing power, therefore nowadays alternate solutions such as cloud storage are used to store such huge data. As the medical data in the form of images or videos is very important and confidential it is very crucial to concentrate on the issues like storage and security. The proposed work discuss about the image security techniques like watermarking using different types combined with data encryption techniques during transmission so as to ensure better security along with reduction in cost for storage with the use of cloud environment.In this study, we offer a deeper insight into the challenges hindering the adoption of this technology. Then we analyze and compare these findings of the cloud based medical image process implementation with security necessities.
Chapter 2: Machine Numbers, Precision, and Rounding Errors

In this chapter, we investigate bugs related to working with numbers, as well as their representation. The finite representation of numbers in a computer is a notorious source of errors. The set of integers or real numbers contains infinitely many elements. But every computer is finite, and thus every integer and real number has to be stored in a data format using only a finite number of bits. The current year can be stored in decimal form with four decimal digits as 2018. Storing a number in an inappropriate data format represents an error and typically results in unwanted behavior or even failure of the corresponding computer program. A chosen number format with a certain number of bits cannot store larger numbers that would require more than the available bits. Storing a longer number in an inappropriate smaller data format was the (basic) cause for the Ariane 5 failure in 1996. The Y2K or Year 2000 bug was related to using only two digits for storing the current year, which is fine as long as we stay in a single, unique century, but not at the turn of a century.
Introduction to Volume 11, Issue 3 of <i>topiCS</i>

This month's issue presents the topic, "Single Paradigm for Implicit and Statistical Learning," organized and edited by Topic Editors Padraic Monaghan (University of Amsterdam and Lancaster University) and Patrick Rebuschat (Lancaster University and University of Tübingen). As their title indicates, “Aligning implicit learning and statistical learning: Two approaches, one phenomenon,” they attempt an integration of two subfields of cognitive science, which have had separate paths to development and different groups of researchers pursuing each path. Theirs is an interesting attempt. I can recall no similar case of researchers in two subfields coming together to discuss the integration of their two areas. Indeed, the history of cognitive science is more noted for researchers pulling apart from each other by deciding that what had been viewed as one area was really two or more. Readers who have objections to this effort or those who have thoughts on other areas of cognitive science which have been conjoined and reduced rather than divided and multiplied are welcomed to contact the Executive Editor to propose a discussion of those issues. We remind our readers that, as always, our publisher, Wiley-Blackwell, allows us to offer the Topic Editors’ introduction to their topics to all of our readers as a free download. topiCS encourages letters and commentaries on all topics, and proposals for new topics. Letters are typically 400–1,000 words (maximum of two published pages) and will be published without abstract or references (possibly 1–2 but usually none). Commentaries are often solicited by Topic Editors prior to the publication of their topic. However, commentaries after publication are also considered and should range between 1,000 and 2,000 words. Most commentaries would not have an abstract and would not include many references. The Executive Editor and the Senior Editorial Board (SEB) members are constantly searching for new and exciting topics for topiCS. Feel free to open communications with a short note to the Executive Editor (wayne.gray.cogsci@gmail.com) or an SEB member (SEB members are listed under the Editorial Board heading on the publisher's homepage for topiCS (http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1756-8765/homepage/EditorialBoard.html).
New Improved Circular -Radial Method for Correction of Misrepresentation in Endoscope Medical Images

Endoscope Medical Images are distress from a spatial misrepresentation due to the wide-angle nature of the endoscope's neutral lens. This change in the size of objects with position prevents numerical measurement of the area of the objects, which is important in endoscopy for accurately measuring sore and wound sizes over time. A method for correcting the misrepresentation characteristic of endoscope images is presented. Circular –Radial correction formula was developed for the endoscope lens and validated by comparing quantitative test areas before and after the misrepresentation correction. The misrepresentation correction has been incorporated into a computer program that could readily be applied to electronic images obtained at endoscopy using a desk-top computer. The research presented here is a key step towards the quantitative determination of the area of regions of interest in endoscopy. In this paper, a model for correction of misrepresentation in endoscope image is proposed. The definition of optical misrepresentation is described briefly and the theory of correction of misrepresentation using Circular Radial consisting of solid circles is presented. Three steps are used for correction, including pre-processing of grid image, correction of spatial misrepresentation and reconstruction of gray level. Finally, the corrected results are given to demonstrate the performance and validity of correction algorithm with standard calibration grid.  Circular –Radial correction formula was developed for the endoscope lens and validated by comparing quantitative test areas before and after the misrepresentation correction.  The research presented here is a key step towards the quantitative determination of the area of regions of interest in endoscopy.  Finally, the corrected results are given to demonstrate the performance and validity of correction algorithm with standard calibration grid.
NAZHIYA BORHANOVNA BORHANOVA (ON THE 95TH ANNEVERSARY OF BIRTH)

Borhanova Nazhiya Borhanovna
Software Development of Pedagogical Diagnostics by Means of Information Technologies (on the Example of Higher Educational Institutions)

The article is devoted to the development and implementation of pedagogical diagnostic software (POPDICT) based on information technology in higher educational institutions of the republic. The authors believe that the introduction of pedagogical diagnostics with the use of information and communication technologies creates the opportunity to quickly analyze and evaluate the levels of competence of graduates, combined with the ability and willingness to self-regulate further education and professional mobility, to diagnose the level of knowledge of foreign languages, preparedness for the specialty: ability to collect, evaluate and use information; to diagnose the high adaptability of future specialists, expressed in the ability to adapt to the information loads caused by updating the means of production, communication skills and teamwork.
A Check on Annotation in Sentiment Research

The research literature on sentiment analysis methodologies has exponentially grown in recent years. In any research area, where new concepts and techniques are constantly introduced, it is, therefore, of interest to analyze the latest trends in this literature. In particular, we have chosen to primarily focus on the literature of the last five years, on annotation methodologies, including frequently used datasets and from which they were obtained. Based on the survey, it appears that researchers do more manual annotation in the formation of sentiment corpus. As for the dataset, there are still many uses of English language taken from social media such as Twitter. In this area of research, there are still many that need to be explored, such as the use of semi-automatic annotation method that is still very rarely used by researchers. Also, less popular languages, such as Malay, Korean, Japanese, and so on, still require corpus for sentiment analysis research.
An Enhanced Classification Based Outlier Detection using Decision Tree for Multi class in Data Stream

Data Stream has continual, unbound, large and unstable records. The processing in data streams involves extracting significantidea in primary data of the kind static and dynamic with one sweep. In streaming, records are generated by thousands of data sources continuously and simultaneously. These data normally won’t have common range. Some data will be deviated from the rest in terms of variant factors. These are considered as outliers and it is tough to find those in data stream as they have multi dimensionality. Outliers, being the most abnormal observations, may include the sample maximum or sample minimum. E-commerce is an application or category of data stream that is generated from millions of sources at a time. It includes multiple products and transactions. Some products are cancelled during transactions and some are infrequent and these are termed as outliers. This paper focus on the challenge in E-Commerce and the objective is to aid the agencies in taking fine decisions in right time by finding the outliers using supervised learning scheme. This work is carried out in two phases. In first phase the outliers are detected and classified as cancelled and delivered products. In the second phase the least transaction is found as an outlier by the enhanced methodology for multi-class classification. The work is implemented in WEKA 3.9.6 and is compared with the existing works with evaluation metrics.
CYBERSECURITY STUDENT TALENT RECRUITMENT AND DEVELOPMENT: A CASE STUDY

There is a substantial and fast-growing workforce demand for qualified cybersecurity professionals to defend our cyber space and critical assets against growing cyber threats and attacks.Cybersecurity is a highly technical, comprehensive, and multi-disciplinary field, and it is a challenging task to recruit and develop cyber talent that meet the high expectations of the field.The national Centers of Academic Excellence in Cyber Defense Education (CAE-CDE) designation by the U.S.
The Main Aspects of the Formation of Digital Competence of Future Civil and Municipal Employees

This study presents experimental work on the study of psychological and pedagogical conditions for the formation of digital competence of future civil and municipal employees. This research is carried out within four years on the basis of the Federal state budgetary educational institution of higher education «MIREA – Russian Technological University»
Digital image dimension and space reduction with contraction mapping

A digital image can be represented as two dimensional arrays of pixels. In this paper a simple but representative system of contractive mapping on Euclidean plane, called the digital plane is used for image processing to generate images with reduced dimension occupying less storage space and can be efficiently transmitted. With suitable matrix metric and contraction mapping, size of the original image matrix is diminished significantly by reducing the order of sub matrices and hence images of reduced size without much compromise to the quality of image is obtained. The variations between the original and contracted image are not too pronounced when the images are of large size and are seen on small screen (mobile, tablets etc.)
Metareflection: a Method for Philosophy

This paper presents a method of philosophical investigation rooted in the interrelations between psychological concepts and logical concepts. The proposed account describes philosophical method as a first-person introspective analysis of psychological concepts and a further synthesis of logical concepts on the grounds of the content of psychological concepts, guided by various theoretical objectives. What is needed for the use of this method, as its cognitive prerequisite, is first-person access to the content of concepts in both senses, which takes the form of a multi-level hierarchy of rational metareflection. The notions of philosophical intuition and thought experiment are discussed within the proposed framework. So is experimental philosophy.