Reviewerly/exHarmony huggingface dataset:
How to Model an Engaging Online Quiz? The Emotion Modeling Approach

The article focuses on software technology used to provide a more engaging and exciting learning environment for students by introducing a variety of quizzes. Presently, quiz development can range from simple multiple-choice questions, true or false, drag-and-drop, dropdown menu selections, to 3D interactive techniques. This study introduces a systematic way of creating an engaging application using emotion modeling. Emotion models are being introduced in order to collect and model the systems’ meaningful emotional needs. According to the findings, agent-oriented modeling is capable of modeling the emotional requirements of a system and of transforming these into a specific solution enabling to rapidly prototype an engaging system. A quantitative study has been performed on the novel approach to determine the feasibility of the proposed methodology in terms of analyzing, designing, and developing engaging applications.
Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics

This mini-track has a total of six accepted papers that are about developing analytics systems for decision support by means of data, text, or web mining.The papers address the gaps from a variety of relevant methodological and practical contexts such as electronic word of mouth, digital economy, fake news detection, social science, and analogical reasoning.
The concept of lifelong education in the context of investments in human capital

The concept of the lifelong education is a prevalent object of study in Russia and abroad. This article proposes to shift the focus to investment in human capital as one of the most important aspects of lifelong education. It covers the stages of formation and development of the lifelong education concept, systematization of normative acts, clarification of the most controversial related terms, such as formal, non-formal and informal education, human capital. Taking into consideration different theoretical approaches to human capital, we emphasize its non-material spiritual component. Investments in education and, accordingly, to human capital have their own, only their inherent features, including a cumulative effect, long-term period, delayed bonuses, and so on. In addition, investor and the object of investment can be combined in one person. Individual as a beneficiary has his/her own interests, but since he/she lives in society, the gains received by him become part of the total human capital of the society and state. It is noted that investments in one person, his/her education and development may continue to generate bonuses for future generations. The present article uses the data provided by the Education and Training Monitor 2020, which collects a wide range of evidence to analyze the evolution of national education and training systems across the European Union. The article considers the experience of the EU countries in pursuing a unified educational policy and implementing the concept of lifelong education, including transnational programs. It may be of interest for similar studies in Russia.
Revealing the Meanings on William Wordsworth’s Poem Strange Fits of Passion Have I Known

This study investigates a literary work, a poem, from a linguistic framework. The aim of this study is to reveal the meanings found in William Wordsworth’s poem ‘Strange Fits of Passion Have I Known’ from systemic stylistic analysis in the framework of Systemic Functional Linguistics and Verbal Art Semiotics. The data were collected by library study and analyzed with a descriptive, deconstructive method and content analysis with an intrinsic objective approach. This result of the study proves that the subject matter of this poem is ‘the poet rode a horse to Lucy’s cottage from the rice of evening till the drop of the bright moon”. The deep level of meaning refers to the last clause complex ‘O that is a mercy, to myself I cried If Lucy should be dead.’ The deeper level of meaning of this poem is about ‘the death of a young girl named Lucy’, and finally, the deepest level or the theme of this poem is about ‘death is a natural part of life cycle.’
The global geography of investment in emerging technologies: the case of blockchain firms

Scholars have long been interested in where new technologies and industries emerge. This regional graphic examines the emergence of one such technology: blockchain. We developed a global database of blockchain firms, as well as capturing investment rounds at the firm level, using Crunchbase, a well-accepted source of information on technology firms. We geocoded the dataset and created original network data at the city-region level to capture investment interactions. We find that blockchain firms are located in cities around the world. However, firms receiving investments are concentrated in a small number of global city-regions, with Silicon Valley, New York, Singapore, London, and Beijing accounting for half of all investments. Moreover, there appear to be supra-regional networks, suggesting that new technology firms continue to concentrate in a handful of interconnected world cities.
Do Not Distract Me While I Am Winning This Auction:

Online auctions are big business—this presents an opportunity and an incentive for scammers. We ran a series of studies to (a) show which cues to deception increase resistance of buyers, and (b) to establish personality traits and mechanisms of persuasion influencing compliance with fraudulent auction offers. In Study 1, 6,609 participants answered general victimization questions and filled out the Susceptibility to Persuasion—II scale. The results show that persuasive mechanisms, such as the need for consistency, social influence, risk preferences, and the need for uniqueness, play an important role in general scam compliance. In Study 2, we focused on victims of auction fraud, where 254 participants answered questions about their general attitudes toward auctions and, where applicable, about a specific fraudulent event they had been involved with. In the second part of Study 2, we asked the respondents to fill out the HEXACO personality scale and the modified UPPS-IBS (Impulsivity scale). The analysis shows that (a) more experienced participants in auctions pay attention to more cues; that (b) the impact of item price on personal utility focuses the attention of auction participants; and that (c) various self-regulatory processes play an important role in auction fraud compliance.
Affecting Students’ Motivation to Foster Foreign Language Acquisition: Juggling Pedagogical Tools and Psychological Diagnostics in the University Classroom

Generating and/or maintaining a certain type and level of motivation by employing pedagogical means can contribute to fostering the process of foreign language acquisition in general and in the university classroom in particular. An overview of the research confirms that motivation can be treated as a promoting determinant in the foreign language classroom. This chapter examines the interconnection between different types of motivation and the rate and success of foreign language acquisition while using pedagogical tools to enhance levels of motivation in the course of teaching English as a foreign language (EFL) to Russian university students. The study methods include the application of psychological instruments for measuring motivation as applied to the language classroom, pedagogical methods for assessing foreign language communicative competence (FLCC), and the use of paired and independent samples t-tests for analysis. The motivational characteristics assessed included social, learning, and professional factors, in addition to creativity, prestige, avoidance of failure, and communication motivation. Components of students’ FLCC were measured to evaluate their EFL learning effectiveness. The findings revealed that there was a significant direct relationship between the level of components of FLCC and that of students’ learning, creativity, communication motives, and less distinct and more variable relationships with social, professional, and prestige motivation factors. Finally, a negative relationship was found with avoidance of failure motives. The study confirms the positive influence of certain types of motivation on students’ foreign language acquisition, as well as the possibility of affecting motivation by selecting special pedagogical tools that can be applied in combination with a certain style of teaching.
GENDER BIAS IN CHOOSING STEM STUDIES

The gender bias in STEM exists, and this work intends to make this reality visible. The principal objectives of the study are to reduce the gender gap in STEM studies and learn about experiences lived around the STEM field reported by women. For this, a qualitative research method has been created in the form of an interview, which helps us answer the questions raised from the life stories told by the fourteen girls and women interviewed, all of them belonging to different age ranges, to be able to observe and analyze gender bias when choosing STEM studies. The data resulting from the research are the least bleak in the framework of the development of gender equality. A minimum change could be expected. However, the changes we observe are specific. We must remember that most of the participants have alluded to society and culture to explain the bias. The generational shift that is observed through the interviews is minimal. Although the educational administrations seek absolute equality and promotion of research and development of ICT among girls and adolescents, we must make visible that these actions need a more significant effort to be part of the educational community.
Horizontal and Vertical Line Scaffolds

Imagine a cartesian chart created with Charticulator where there are no fields bound to the x- or y-axis and there is an absence of any sub-layout but where the glyphs are stacked either horizontally or vertically within the plot segment. How is Charticulator able to lay out the glyphs like this when there is nothing driving the layout? What Charticulator will be using in this scenario is a scaffold. A scaffold determines the stacking layout of the glyphs in the absence of fields bound to the axes and replaces any sub-layout that has been applied. It’s in this chapter that we are going to explore how Charticulator’s horizontal line and vertical line scaffolds provide an alternative approach to laying out the glyphs in your chart.
An Empirical Analysis of the Influence of Volleyball Elective Course on Students’ Physical Health Based on Digital Image

In recent years, due to the continuous improvement of the national economic level and the increasing academic burden of students' main courses, students' physical health problems (e.g., obesity, vision, and lumbar spine) have become more and more serious, which urgently needs the attention of relevant departments of national education and parents. This paper will use digital image technology to create a physical parameter measurement system and use literature, comparative analysis, and other research methods to analyze the impact of volleyball elective courses on students' physical health. Firstly, this paper explains the theory of image processing technology and analyzes the parameters of human body scientifically; secondly, it detects the physical parameters of human body in digital images and also designs an image recognition system; finally, through experimental analysis, the accuracy of identifying key points of images is relatively high. After the system is adopted, the error of the measurement index is small. After the training of human body indexes, the effect of volleyball can be effectively improved.
Selection of Representatives Using Genetic Algorithms

A representative selection technique based on genetic algorithms is proposed. The performance of the nearest neighbor classifiers based on the technique is demonstrated in the small-sample, high-dimensional setting. The proposed technique offers significant advantages over conventional ones in terms of both the classification accuracy and data reduction rate.
A SIMPLE SEQUENT SYSTEM FOR MINIMALLY INCONSISTENT LP

Abstract Minimally inconsistent LP (MiLP) is a nonmonotonic paraconsistent logic based on Graham Priest’s logic of paradox (LP). Unlike LP, MiLP purports to recover, in consistent situations, all of classical reasoning. The present paper conducts a proof-theoretic analysis of MiLP. I highlight certain properties of this logic, introduce a simple sequent system for it, and establish soundness and completeness results. In addition, I show how to use my proof system in response to a criticism of this logic put forward by J. C. Beall.
Sharing large data collections using data services in cloud environment

Purpose Data service (DS) is a special software service that enables data access in cloud environment and provides a unified data model for cross-origination data integration and data sharing. The purpose of the work is to automatically compose DSs and quickly generate data view to satisfy users' various data requirements (DRs). Design/methodology/approach The paper proposes an automatic DS composition and view generation approach. DSs are organized into DS dependence graph (DSDG) based on their inherent dependences, and DSs can be automatically composed using the DSDG according to user's DRs. Then, data view will be generated by interpreting the composed DS. Findings Experimental results with real cross-origination data sets show the proposed approaches have high efficiency and good quality for DS composition and view generation. Originality/value The authors propose a DS composition algorithm and a data view generation algorithm according to users' DRs.
The Quest and Rush for the English Language in Cameroon: The Case of UCAC-ICAM

This study looks into the reason why after so many years of neglecting the English language, there has suddenly been an astonishing quest and rush for English.The results showed that Many Cameroonians have come to realized the importance of English for the following reasons according to interviews and observation and data from questionnaire: Firstly, without the English language they are lost in the world of business, secondly, there is the element of complex; if you can speak English, something is added to your personality.Another reason is that, you would be able to communicate with people of different cultures wherever you are in the world.Students on the other hand, want to continue studies, graduate and work in big companies nationally and internationally.Others may never obtain their diploma without a good score in an international English language test in English, as is the case in UCAC-ICAM.They have no choice.From data collected, 100% of the engineering students who participated in the exercise said they needed the TOEIC to obtain their end of course certificate.
A Hybrid Machine Learning Approach for Sentiment Analysis of Beauty Products Reviews

Nowadays, social media platforms have become a mirror that imitates opinions and feelings about any specific product or event.These product reviews are capable of enhancing communication among entrepreneurs and their customers.These reviews need to be extracted and analyzed to predict the sentiment polarity, i.e., whether the review is positive or negative.This paper aims to predict the human sentiments expressed for beauty product reviews extracted from Amazon and improve the classification accuracy.The three phases instigated in our work are data pre-processing, feature extraction using the Bag-of-Words (BoW) method, and sentiment classification using Machine Learning (ML) techniques.A Global Optimization-based Neural Network (GONN) is proposed for the sentimental classification.Then an empirical study is conducted to analyze the performance of the proposed GONN and compare it with the other machine learning algorithms, such as Random Forest (RF), Naive Bayes (NB), and Support Vector Machine (SVM).We dig further to cross-validate these techniques by ten folds to evaluate the most accurate classifier.These models have also been investigated on the Precision-Recall (PR) curve to assess and test the best technique.Experimental results demonstrate that the proposed method is the most appropriate method to predict the classification accuracy for our defined dataset.Specifically, we exhibit that our work is adept at training the textual sentiment classifiers better, thereby enhancing the accuracy of sentiment prediction.
Implicit Ontology Changes Driven by Evolution of e-Health IoT Sensor Data in the τOWL Semantic Framework

Nowadays, several electronic health (e-Health) systems are using both Internet of Things (IoT) technologies, for remote monitoring of the evolutions of patients states, and ontologies, for interoperability with other similar systems and for conceptualization of the domain of each system. In such environments, instances generated by IoT sensors have to comply with used ontologies. However, some new instances could be structurally inconsistent with respect to the current ontology and consequently require that some changes be applied in order to generate a new ontology version which could consistently accommodate also the new data instances. In this chapter, we first propose an approach that supports ontology changes which are triggered by non-conservative instance updates, giving rise to an ontology schema versioning driven by the arrival of unusual/unexpected instances. Then, we apply this approach to our established semantic framework τOWL (Temporal OWL 2), already proposed for managing the definition of temporal OWL 2 ontologies and their evolution, in a context where both schemas and instances of ontologies are temporally versioned. Finally, as a proof-of-concept of the proposed approach, we developed a new release of our τOWL-Manager tool, which also supports the management of non-conservative ontology instance updates.
A Review on Text Supervised Learning Methods for Classification of IT Ticket and Bugs

Background: The corporate world deals with task management in a variety of ways all having some form of triaging process to correctly assign tickets to developers. Automation of this task has proven elusive with less accuracy for Web and SaaS companies that handle high volumes of tickets in the form of exceptions, support requests, user-reported bugs, and crash reports. Purpose: This paper analyzes different Machine Learning and Deep Learning algorithms for predicting assignees for new tickets based on past tickets. The key area of work was to investigate the usefulness of various machine learning (ML) methods to accurately construct mathematical models for predicting bugs and tickets. Method: The paper highlights the important of features Term Frequency Inverse Document Frequency (TF-IDF) and relevant data word rate to ensure high accuracy is obtained by the utilized ML models. Conclusion: In this Review will discuss about Text Supervised Learning Methods for IT Ticket and Bugs classification using its pros and cons. Also gives future idea about IT Ticket and Bugs classification.
Two-Mode Photon-Added Entangled Coherent States and Their Entanglement Properties

An entangled quantum state is considered by applying a local photon excitation to each mode of an entangled coherent state.The entanglement property is investigated in terms of the entropy of entanglement.It is shown that applying a photon addition can improve the amount of entanglement.It is also examined that in a specific region of parameters, the state |ψ - 1 (α, m, n) is least entangled when photon excitation is minimum.We study the statistical properties of such states by employing the quasi-probability functions.
Introduction to TBT-S for Young Adults (YA TBT-S)

This chapter introduces a rationale for a YA Temperament Based Therapy with Support version of treatment. In YATBT-S, parents are primary “Supports,” or the “S” in TBT-S. This chapter addresses concepts unique to young adult development, including a model for parental involvement specifically tailored for the YA life stage. It addresses why parents need to be included in treatment for YA with AN. Components of YA developmental stages and forms of parental assistance are outlined to establish a collaborative, interdependent treatment model.
Efektivitas Penggunaan Metode Karyawisata dalam Proses Pembelajaran Kurikulum 2013

In the educational process, the existence of learning activities is a major part of the learning process. In the learning process, optimal learning outcomes can be achieved by students are able to interpret learning well and students can experience it directly. So that teachers need to prepare strategies and learning methods that can improve student learning outcomes, one of which is the field trip learning method. The purpose of this study is to find out and understand the effectiveness of using the field trip learning method for elementary school students. The type of research used in this research is descriptive qualitative using the questionnaire method. From the diagram of the effectiveness of the field trip method, 45.7% of respondents agree or think that the use off the field trip method is effective in supporting the learning process. And most respondents as much as 54.3% considered that the use of the field trip method might have a good influence on the learning process.
Collision Avoidance in Virtual Worlds Using Repulsive Field Methods and Augmented Reality Applications

Augmented Reality (AR) is a merger of the virtual world with the real world in real time. This paper presents a simulation that is able to detect collisions between 3D objects and display collision avoidance movements naturally using AR technology. The methods used are Sphere-Plane Detec-tion (SPD) and Sphere-Sphere Detection (SSD) to detect collisions with reference distance and repulsive type potential field methods for collision avoidance. To display the simulation results of collision avoidance between 3D objects, the ARToolkit engine is used. The test was carried out on a web browser with a number of dynamic ± 5 objects and several static and dynamic obstacle objects. Based on the tests carried out using the SPD method, the detection distance is d 1m, while using the SSD method the detection distance is d 2m, collision avoidance using a repulsive field is obtained the vector value |V| from the initial position to the destination for object A1 is 60.9063, object B1 is worth 68, object C1 is worth 26.6 and object D1 is 27,155. Changes in repulsive values can affect object movement and object distance with dynamic obstacles and static obstacles.
Fuzzy Semantic Models of Fuzzy Concepts in Fuzzy Systems

The fuzzy properties of language semantics are a central problem towards machine-enabled natural language processing in cognitive linguistics, fuzzy systems, and computational linguistics. A formal method for rigorously describing and manipulating fuzzy semantics is sought for bridging the gap between humans and cognitive fuzzy systems. The mathematical model of fuzzy concepts is rigorously described as a hyperstructure of fuzzy sets of attributes, objects, relations, and qualifications, which serves as the basic unit of fuzzy semantics for denoting languages entities in semantic analyses. The formal fuzzy concept is extended to complex structures where fuzzy modifiers and qualifiers are considered. An algebraic approach is developed to manipulate composite fuzzy semantic as a deductive process from a fuzzy concept to the determined semantics. The denotational mathematical structure of fuzzy semantic inference not only explains the fuzzy nature of human semantics and its comprehension, but also enables cognitive machines and fuzzy systems to mimic the human fuzzy inference mechanisms in cognitive linguistics, cognitive computing, and computational intelligence.