Reviewerly/exHarmony huggingface dataset:
Специфика категоризации понятия «мир» взрослыми активными интернет-пользователями

The main objective of the analysis is a problem of changes in the cognitive processes of adults due to their Internet activity. Theoretically, it can be assumed that the amount, variety, and availability of information on the Internet guarantee web users a greater amount of knowledge, expressed in greater cognitive complexity of their consciousness. An empirical test of this hypothesis was carried out based on a comparative analysis. The main subjects of the comparison were the structure and content of the concept of «world» in groups of active readers and active web users. The results of the study indicate a greater cognitive complexity in the perception of the concept of «world» among reading subjects. The data allows designating the «flattening» of the categorical grid of consciousness of active web users as a variant of cognitive deformation.
Content analysis-based documentation and exploration of research articles

Purpose With the wealth of information available on the World Wide Web, it is difficult for anyone from a general user to the researcher to easily fulfill their information need. The main challenge is to categorize the documents systematically and also take into account more valuable data such as semantic information. The purpose of this paper is to develop a concept-based search system that leverages the external knowledge resources as the background knowledge for getting the accurate and efficient meaningful search results. Design/methodology/approach The paper introduces the approach which is based on formal concept analysis (FCA) with the semantic information to support the document management in information retrieval (IR). To describe the semantic information of the documents, the system uses the popular knowledge resources WordNet and Wikipedia. By using FCA, the system creates the concept lattice as the concept hierarchy of the document and proposes the navigation algorithm for retrieving the hierarchy based on the user query. Findings The semantic information of the document is based on the two external popular knowledge resources; the authors find that it will be more efficient to deal with the semantic mismatch problems of user need. Originality/value The navigation algorithm proposed in this research is applied to the scientific articles of the National Science Foundation (NSF). The proposed system can enhance the integration and exploration of the scientific articles for the advancement of the Scientific and Engineering Research Community.
A Contemporary Analysis of Hate Speech in Political Context

Hate speech is becoming a very imperative problem in social as well political context in the present era. It ultimately reflects an intolerance to difference (on the basis of ethnicity, caste and creed, religious views, race, political views, etc.). As a matter of fact, a data generator (user), who uses hate speech wants to emphasize their viewpoints and identity among others and a consequence of such activities somehow leads to hate deeds and conduct. Social media platforms with their wide approach have now become very powerful and influential to affect the psychology of people. The Internet, especially social media, acts as a “turbo accelerator” of hate speech in any context. It is a communication channel that plays a significant role both in opposing hate speech and amplifying it at the same time as well.According to standards for the Facebook community, “Hate Speech” is classified as the text or speech that hurts emotions and attacks someone on the basis of their ethnicity, caste, nation of origin, religion, disability or some type of disease. Twitter, also provides a policy which applies to promoted tweets and prohibits the promotion of sensitive content. This work proposes the mining of web content for available political speeches and then classifying them as hate speech or benign speech. This paper also presents background on hate speech and its detection approaches.
Teaching And Learning English Language Through E –Resources

English language has taken up a new dimension with the technology innovation. It made an individual as a self-reliant person. It redefined the concept of education. It narrowed down the path of education but broaden the scope of education. Knowledge seems to pass through streams of tubes almost at the lightning speed   as per   the needs of the students. Universities have to bow down due to the power of technology and share the knowledge freely.Technology has further brought the whole world under one roof with the globalization and created more employment opportunities as most of the research is based on English. A self motivated person can learn by themselves even if they cannot reach out to the university.The industry turned to be skill oriented and could offer placement just with the practical knowledge without any demand for certificate. This proved to be an excellent incentive for the motivated learners. Free learning e-resources further became a gateway of opportunities for the enthusiastic learnersand this is no exception to any age. The gen-x has plenty of scope whether it is learning to speak language or to learn to pursue whether writing a book or poem or podcast.There are many websites, and especially the social platforms like face book, twitter, instagram and many more platforms are always ready to welcome the budding talent further reduce the age gap and placing high priority for the talent and excellent resource of learning and earning. The demand for the language and the increased work force for the language also turned many towards this language for the better financial   benefits. Flexibility of time in learning through online and plenty of material availability in a short time and reduced travel time are the additional conveniences which pull people towards    E-resources and online learning.
A Hybrid Approach for Feature Extraction and Classification Using Machine Learning Techniques

Artificial intelligence (AI) solutions are used to help make choices that include a high precision of choices they recommend and a deep understanding of choices, so that the chiefs can trust them. Verifiable, non-emblematic learning methods have greater perceptive accuracy. Express, fair representation information learning method produces increasingly justifiable Approach’s. Hybrid AI systems analyses the data and exploratory characteristics of approach types. The fundamental purpose of this commitment is to differentiate between a proper AI strategy for choice of assistance that produces reliable and fairoutcomes, depending on the various AI techniques, which provide an analysis of different approaches either with special or similar datasets. Comprehensibility is measured subjectively, however, by the form of learning process and the scale of the resulting representation of knowledge. We need a hybrid approach for classification using feature extraction in preprocessing of imbalanced dataset (raw dataset) by normalization for better classification, accuracy, and minimization of Error Rate for the smaller amount of training of significant dataset and lesser amount of training time for a good result. Moreover, data preprocessing play very important role in the field of machine learning, the result is more accurate if your data is cleanedotherwise some misclassification occurs which tend to be problematic in classification problems. Therefore, hybrid comparative analysis and approach is required for the selection of dataset with respect to machine learning classifier that will having different results with different data sets based on the hybrid approach to achieve maximum best results against any dataset. Input with maximum accurate result will be reproduced from our hybrid approach because this approach shows which type of classifiers should be used under what type of dataset you have, meanwhile exception of the generous fact based on results should be different among different classifiers when applied to different dataset. After that, a comparative analysis of different algorithms with different dataset has made and a comparison shows the enhanced significant generic approach with the hybrid approach, a clear result in the form of accuracy, precision, recall and f1 score shows the results against the specific techniques against the dataset and that tell us about the accuracy and rate of misclassification error. At the end we will see which machine learning algorithm improves the accuracy for which type of dataset.
Creación e implementación de un objeto virtual de aprendizaje para la orientación vocacional en estudiantes de transición en el hogar Infantil Angelitos.

Taking into account that vocational guidance in preschool age is a subject that worries teachers, psychologists and parents very little, students at this age little consider taking into account the fact of having to think or worry about what to do as a trade or profession in their future, but what none of the agents involved in this age do not think is that girls and boys face a very complex situation when they finish their studies and find a series of unknowns about their future, the which during the time they remained in their educational institution did not go through their minds or did not have the advice to face the real world thatawaits at the end of their training process, this document presents the proposal for the creation, design and implementation of a Virtual Learning Object (OVA) of vocational guidance for transitional children of the Angelitos Children's Home in Armenia Quindio Colombia. The Ova will be designed in the eXeLearning tool since we consider it to be an easy-to-apply program and can include a number of educational content, attractive for preschool age.Taking into account that a Quality Education must have a comprehensive training of the learner, in order to facilitate the learning process, involving the cognitive and effective aspects, and highlighting that each girl or boy is unique and that from the moment they are born they manifest a form Different from assuming and confronting experiences, showing different ways of reacting to different types of stimuli, it is essential to train, accompany and guide students from the initial cycle on the construction of goals, interests and expectations, projecting themselves towards their future. It can be said that childhood is the best time to start discovering vocations, at this age children are not yet contaminated by prejudices that throughout their lives tend to confuse them; personality, body schema, preferences in toys or games are often important indicators of their vocational inclinations. Taking advantage of the use of ICTs and the interaction that girls and boys have today with these media, and the ease with which they can manipulate them and having identified the vocational guidance needs that are documented. A proposal is developed for the implementation of an OVA and that children can participate in a didactic, fun way exploring their own tastes, preferences, developing particular abilities and skills, focusing them towards the improvement of competences that in the long term will allow the choice of a profession and planning goals within your own life project. It should be noted that, although this design has been thought in response to the observed needs, taking into account the actions and vocational guidance programs that the Angelitos Children's Home has, the program can be scaled up and incorporated into other Educational Institutions, adjusting to specific needs of each community and taking into account the real resources (technological and human) for its application.
REST APIs Using Amazon AWS API Gateway

APIs (Application Programming Interfaces) are becoming increasingly important for businesses in a variety of industries, as they provide the way by which two different applications may connect. APIs empower organizations to develop their organizations more rapidly than any time recently. APIs offer organizations the chance to scale, cultivate development and contact a more extensive crowd.In future APIs have potential to transform businesses as it makes ease integration of backend data and applications.Cloud Computer is the most common computing model nowadays, and most ISPs (Internet Service Providers) have launched cloud offerings.REST interfaces are commonly used to expose cloud services on the web, but also do not provide a formal grounding that can be used to semantically characterize the accessible services.In this paper, we present an analysis of amazon aws api gateway and general methodology for developing RESTful api using aws api gateway
Trust Based Predictive Analysis on E-Commerce Applications

One of the problems that online businesses platforms facing is gaining a greater understanding of the customer's thoughts and sentiments on the products. This problem can be solved by using sentiment analysis to derive additional insights from consumer feedback. Customer feedback provides a useful platform to discover a huge range of customer- initiated reactions to the product(s) that they have purchased. Text analytics provide businesses a more holistic picture of customer's satisfaction or dissatisfaction. It is insufficient to rely on customer's ratings alone to find out their experiences. This is because reviews can provide important feedback to businesses. In this paper, for text classification, we proposed the Naive Bayes algorithm. Despite its simplicity, it always outperforms much more complex solutions. The naive Bayes algorithm will be used in this paper to predict the mood of feedback. In the proposed plan, Natural language processing is used to extract features from the text of the feedback to train the algorithm.
IDP: A Privacy Provisioning Framework for TIP Attributes in Trusted Third Party-based Location-based Services Systems

Location-Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point of Interest (POI), LBS confronts numerous privacy related challenges in three different formats including Non-Trusted Third Party (NTTP), Trusted Third Party (TTP), and Mobile Peer-to-Peer (P2P). The current study emphasized the TTP based LBS system where the Location server does not provide full privacy to mobile users. In TTP based LBS system, a user’s privacy is concerned with personal identity, location information, and time information. In order to accomplish privacy under these concerns, state-of-the-art existing mechanisms have been reviewed. Hence, the aim to provide a promising roadmap to research and development communities for the right selection of privacy approach has achieved by conducting a comparative survey of the TTP based approaches. Leading to these privacy attributes, the current study addressed the privacy challenge by proposing a new privacy protection model named “Improved Dummy Position” (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System. In order to validate the privacy level, a comparative analysis has been conducted by implementing the proposed IDP model in the simulation tool, Riverbed Modeler academic edition. The different scenarios of changing query transferring rate evaluate the performance of the proposed model. Simulation results demonstrate that our IDP could be considered as a promising model to protect user’s TIP attributes in a TTP based LBS system due to better performance and improved privacy level. Further, the proposed model extensively compared with the existing work.
The influence of Augmented Reality in the teaching and learning process in the 1<sup>st</sup> Cycle of Basic Education

Information and Communication Technologies (ICT) in general and Augmented Reality (AR) have a major impact on the teaching and learning process of pupils. The AR is still little known and exploited in an educational context in Portugal, and for this reason a qualitative study has been chosen on: "The Augmented Reality as the enabler of learning in the 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> Cycle of Basic Education". The study was carried out in a group of 21 students from the second year of schooling in the methodology of Distance Learning (E@D). This study has allowed us to reflet that the integration of AR into the teaching and learning process allows pupils to increase their motivation for learning through a more motivating approach. The RA can be a learning tool, and it is a valid support for the teacher in the monopolization of pedagogical activities. The results obtained, after analyzing and processing the data, have enabled us to verify that the AR can be a enabler of learning, in that it promotes new learning contexts, more innovative and motivating for today's students. The study concluded that ICT and AR integrated into an educational environment can create a more stimulating and interactive environment by promoting richer and more meaningful learning for pupils, given their involvement in the various activities proposed to them.
«КАК МЫ ПИШЕМ», ИЛИ ПРОБЛЕМА ЛИТЕРАТУРНОГО САМОСОЗНАНИЯ

Statement of the problem. The interest of modern literary criticism to the problem of literature reflection is carried out mainly on the material of various metatexts, especially vividly represented inthe turn of the century.The purpose of the article is to reveal author’s identity and artistic self-reflection in non-fiction texts. In this regard, the collection of articles entitled “How Do We Write”, compiled in 2018 by St.Petersburg writers Pavel Krusanov and Aleksander Etoev, is of particular interest. This book was written in reply to the book “How Do We Write” in 1930. The literary process of the 1920s, like, inmany respects, literature of the new 21st century, was a period of renewal of various types and genres of artistic creativity, a period of the birth of new forms.Research results. Comparison of the two books, in which writers from different literary eras reflect on the nature of creativity, on the technology of literary work, on relationships with a reader,gives grounds to talk about the contours of a new textual criticism of the 21st century. Deformation of the canon, destruction of the boundaries of literature and aesthetic taste, and new forms of communication influenced the content and form of texts.Conclusions. With emergence of Internet reality, new sources of textual criticism appeared. The new literary reality dictates its own laws and creates new conditions for the development of publish-ing, writing, and reading relationships. Modern literature, like the literature of past years, reacts to cultural and historical events and to the development of the literary process, reflecting on the creation of the text and on the role of a writer here and now.
Legal Response in Thailand when Facing Cybercrime

The objective of this research was to study the Thai cyber legal model when facing cybercrime. It was found that cybersecurity measures had a wide range of security systems due to the cyber threats associated with national security had been attacking infrastructure projects in the fields of state security, critical government services, banking finance, information technology and telecommunications, transportation and logistics, energy and utilities, and public health. These can have effects on the economy and society, as well as the stability and security of the country as a whole. Planning and collaboration between the public and the private sector was essential to maintain critical infrastructure. The cybersecurity of critical infrastructures currently in operation required the development of protection and protection policies by establishing a strategic plan, action plan, and cyber legal readiness plan to deal with various emergency situations by using an international framework of good practice.
Exploration of College Level Online Sport Classes and Professors’ Teaching Experiences in Other Countries during the COVID 19 Pandemic

The purpose of this study was to explore (1) the contents of various college level online sport classes(MOOC), (2) different university policies for sport related courses and teaching practices in overseas and (3) teaching know-how and experiences of professors working in other countries during the COVID 19 Pandemic situation. All of the sport related contents in three major MOOC platforms were reviewed and 6 professors teaching sport related subjects in U.S., Hong Kong, and Singapore were interviewed through various media including online-survey, email, SNS, and face-face online talk. The majority of international MOOC sport related contents was lecture formats but many of K-MOOC sport related contents included sport practices although the total numbers of sport related courses were very limited. Similarly to Korean situations, online-only classes, offline classes and hybrid classes were delivered in other countries. Also, the professors have suffered from class management and bad internet connection during online courses although they believed the online course was safe in the COVID 19 pandemic situation. All professors and students should get accustomed to the online course management and the universities should provide various teaching-aid programs and online teaching training to professors.
Streaming Pattern Based Feature Extraction for Training Neural Network Classifier to Predict Quality of VOD services

Netflix, Amazon Prime, and YouTube are the most popular and fastest-growing streaming services globally. We first studied the characteristics of the streaming patterns of these three services and then utilized these characteristics to extract several features for a quality assessment of the stream. Any streaming traffic has three main characteristics including 1) Adaptive Bit Rate (ABR) streaming 2) On-Off Cycle, 3) Buffering, and Steady-state phases. We observed that streaming providers vary in their ABR strategies and rate-controlling mechanisms. The amount of data they download in the buffering state and steady-state varies. Their On-Off cycle length and data block size vary as well. The quality of their services will depend on their streaming characteristics. Therefore we extracted 12 unique features from the streams based on these streaming patterns. We then trained a perceptron based neural network model for video quality assessment. The model was tested with 50 streams of each service, captured at varying access network bandwidth ranging from 75kbps to 30Mbps. The model could successfully identify a good and a bad stream with an accuracy of 0.929 for YouTube, 0.857 for Amazon Prime, and 0.933 for Netflix. At last, we analyzed the importance of each feature for these three services. Our approach can be used to compare and contrast the streaming services strategies and fine-tune their ABR and flow control mechanisms.