Reviewerly/exHarmony huggingface dataset:
Contextual Approach to Professional Training of a Future Teacher/Musician

The paper presents the author’s view of the current issue of finding ways to implement new strategies for the development of higher artistic education related to integration into the European space through introduction of a contextual approach to the professional training of a future teacher/musician. The paper is aimed at highlighting the specifics of using the contextual approach in the course of professional training of future teachers/musicians. The main principle of contextual learning is the fact that knowledge becomes the student’s personal acquisition when it is learned within an authentic context. In contextual learning, a conventional curriculum is a broader context that integrates the study content of different subjects in preparing students for professional activities. By revealing the meaning of the contextual approach, the authors emphasize that the basic unit of contextual learning content is not a “piece of information” or a problem solved by a model, but a problematic situation requiring the productive thinking of a student. The authors highlight the significance of the experience development process among students of higher artistic educational establishments through establishing the relationship between internal and external contexts. The past experience contributes to students deeper understanding that they will be able to implement the acquired knowledge and developed competencies in their further activities, regardless of the timespan passed. It is also important to design pedagogical situations and tasks, the process of solving which involves a transformation of the social content of professional activity through the reflection of real events. The implementation of a contextual approach to the professional training of future teachers/musicians promotes the development of professional abilities of future specialists, helps them to determine the level of their training, formation of professional competencies and competitiveness more objectively and accurately. The application of this approach determines not only the vector of personality development, but also creates conditions for the development of a strategy for its improvement and the implementation of individual abilities.
AI and Adversarial AI in insurance: Background, examples, and future implications

This paper describes the rapid and dynamic pace of Artificial Intelligence (AI) and Machine Learning (ML) developments that have revolutionized the insurance sector, and discusses their interpretability. AI content-based processing of information includes image and video analysis, facial recognition and automated decision making for claims management and fraud detection.The paper focuses on adversarial AI, namely on the creation of input data slightly altered to mislead a machine learning system and make it produce incorrect predictions.It provides a case study of the impact of adversarial AI in health insurance. Not only can the model be fooled for detecting the malignancy of patients, but a higher level of perturbation can increase the success rate of the attack by lowering the accuracy of the system. We deem important, for insurance companies ready to adopt AI technologies, to be aware of the consequences of adversarial attacks. We conclude with policy recommendations, consistent with the current regulatory framework.
Getting Your Organization Data-Driven Persona Ready

This chapter discusses the challenging process of getting data-driven personas integrated within an organization. More precisely, it requires effort to bring the stakeholders within an organization to understand, develop, and productively employ data-driven personas for enhanced user understanding. We outline and discuss details of a three-step data-driven-personas process consisting of educate, invest, and employ. We end the chapter with an example of the Automatic Persona Generation (APG), a data-driven-persona system, to illustrate the fundamental idea of motivating your organization to employ data-driven personas productively. Some of the insights in this chapter are useful for any persona project, although throughout the chapter we maintain a particular focus on data-driven personas.
Noise analysis of SOA-based All-optical Photonic Deep Neural Network with WDM input

We experimentally verify the noise modeling of SOA-based all-optical neural networks on the OSNR degradation of the neuron: The photonic neural network can scale up to 16×16 neurons per layer, resulting in NRMSE &lt;0.10.
Virtual Reality (VR) for Experiential Marketing in Sri Lankan Hospitality Industry

The notion of experiential marketing has been accelerated in the recent past since customers are increasingly focusing on emotions and experience more than the functional features of products and services. This phenomenon is mainly evidenced in the hospitality industry and it has been driven by the technological developments. Virtual Reality (VR) is one such technology which can be used for enhancing the customer experience. Therefore, the purpose of this study is to examine how VR can be used for experiential marketing in hospitality industry in Sri Lanka. This study was conducted using the qualitative research methodology by adopting the phenomenology as the research approach to capture the respondents' experiences regarding VR. Data collection was undertaken using in-depth semi-structured interviews with eight respondents and analysis of data was completed using the generic strategy. As per the findings the experience of using VR is explained under two themes. First VR is seen as an innovative marketing medium and therefore it offers opportunities to attract prospective customers. Second VR provides an immersive user experience. So that, hotels can reach their customers with higher interactions. The motives for implementing VR are identified under four themes namely powerful digital experiential marketing strategy, ability to avoid seasonal factor, adapting to the dynamic business environment, and boost HR effectiveness. Therefore, the findings of this study is significant since this is the first attempt in explaining VR from the perspective of hoteliers and industry professionals which has multiple implications to enrich the hospitality industry in the future.
The Data-Driven Persona Revolution

In this chapter, we briefly introduce personas and, more specifically, data-driven personas. We compare data-driven personas with the concept of analytics. Then, we present a short history of data-driven personas. This concise history is followed by a brief discussion of user segmentation, which is the conceptual foundation of personas. We end the chapter with an overview of Automatic Persona Generation (APG), a data-driven persona system used throughout this book to illustrate key ideas.
Enhancing Learning with Emerging Technology

The Teaching Enhanced Learning incorporates digital technologies in innovative and transformative ways. It requires creativity and significant amount of expertise. Technology improves teacher’s effectiveness and better learning. Online learning, the use of open educational resources and other technologies accelerate the rate of learning; reducing costs associated with program delivery; and better utilizing teacher time. Technology makes life easier, happier, and enjoyable which creates effective learning. Within broad framework of theory, the pupil should be encouraged to learn through doing-to experiment for himself-and to adventure boldly into the unknown. Education should try to provide the energy of the body, alacrity of mind and especially the deeper poise of spirit through awakening and developing the pupil’s diverse, dormant faculties of observation, experimentation and speculation.
The Study of N.A. Nekrasov at Literature Lessons in High School

It is believed that the most difficult kind of literature for schoolchildren to study and understand is lyrics. The reasons for this are the bright emotional coloring of the works, the metaphorical nature of the poetic word, the discrepancy between the image and the concept. All this complicates the work with the text, and it is quite difficult for schoolchildren to grasp the real meaning of the work. This article discusses the ways and methods of studying the creativity of N.A. Nekrasov at school, taking into account the requirements that are imposed by the Federal State Educational Standard for literature lessons.
Detecting Offensive Language in Multi-Dialectal Arabic Social Media

Recently, reliance on social media has been steadily increasing from year to year. And as an anonymous medium of communication, people tend to share offensive comments which could be problematic and potentially cause a lot of harm to society. In order to find ways of addressing this issue, researching an automated method that detects offensive text within social media platforms has become important. Research in this field within the Arabic language is not as widely available as in other languages. Due to recent breakthroughs in Arabic Natural Language Processing, we were able to achieve results which are more accurate in detecting offensive content within social media. The Arabic Language is in itself a different challenge compared to English, being a morphologically rich language. With the recent breakthrough in transformer based models such as BERT, which have been able to achieve state-of-the-art results in various tasks and building upon the AraBERT pre-training which has been proven to outperform multilingual BERT, as well as utilizing Arabic specific methods of pre-processing, we were able to achieve better results than established approaches for this task. Specifically, the BERT-base model achieved an F1-score of 84.88% on a multi-platform, multi-dialect dataset.
Myths and Realities of Modern Art Education

The article considers the state of scientific understanding the pedagogical mythology, which is aimed at searching the genesis of myths, the peculiarities of development in terms of artistic educational communication. The author of the article considers that, within the theory and practice of modern art pedagogy, “old pedagogy” is in conflict with the new reality. Regulation, standardization, optimization and competence approach became the necessary aspects of a new pedagogical mythology. The special philosophy of education appears that follows standards of the digital society. In the context of digital renewal of the modern art education, it is necessary to analyse the failed experience of innovation activity in order to model the best ways to improve the situation
Philosophical and Methodological Providence of Music Teacher Training Based on Interpretive Culture

Philosophy as a methodology and theory of cognition plays a decisive role in scientific research. The research of philosophical and methodological providence of music teacher training in the article is relevant and original and has a theoretical nature. A review of literature sources showed that the research of philosophical and methodological providence of music teacher training on the ground of interpretive culture was not conducted. To solve this problem, the following tasks were set: to develop a block diagram of the methodology of research of the scientific problem of music teachers training; to find out the interpenetration of such concepts as «interpretation», «culture», «interpretive culture»; to analyse the categorical apparatus of scientific research. The scientific research began with a monographic method, which allowed diving deep into the problem of music teacher training on the ground of interpretive culture. A system-structural approach was used to develop a structural scheme of the research methodology of this problem. Systematisation of the categorical apparatus allowed to make a categorical matrix of this scientific problem. The method of generalisation allowed to form a system of scientific approaches to the interpretation of the concept of «interpretive culture of a music teacher». The scheme of methodology of the problem developed by the author contains: subject area, scientific approaches, and components of methodology. The subject area in this development is the theory and practice of modern music and pedagogical training, analysis of the state of methodological providence in higher education institutions and providing quality training. The categorical matrix demonstrates the understanding of the theory and practice of interpretive activity, as well as harmonizes the logical and meaningful reflection of the object and subject of the research. Addressing the spiritual-value context is methodologically important, as it gives an idea of the spiritual environment of music and deepens the understanding of music, forcing to realise, differentiate and then synthesise ideological and semantic moments into a concrete integrity.
Copyright law and text and data mining

Digital environment poses new challenges to the traditional concept of copyright protection. Digital copies of works, new forms of exploitation of copyrighted goods, the impossibility of adequate enforcement of intellectual property rights on the Internet and, in this regard, the reexamination of the role of intermediaries, are just some of the issues that have occupied the scientific and professional public. New circumstances necessarily impose changes in the copyright protection regime, including the introduction of new rights but also new exceptions and limitations on copyright. The EU Directive (2019/790) on copyright and related rights in the Digital Single Market introduced exceptions on text and data mining. Given the huge amount of data in the digital environment, the analytical technique is commonly used for text research, data collection and processing. This technique is aimed at finding correlations and patterns, and extracting information from large amounts of data by using automated methods. Text and data mining may be performed in a variety of fields and for different purposes: scientific research, research in journalism, medicine, business, or for market research purposes. Such text and data may be protected by copyright, which gives rise to the question of possible copyright infringement. The new Directive introduced two mandatory exceptions on copyright and related rights for the purpose of text and data mining, one of which is explicitly provided for scientific research purposes. These exceptions are important for the freedom of scientific research in the digital environment but also for some issues related to the development of Artificial Intelligence.
Social Media Leveraging Data Analytics to Enhance User-Experience

In the present computerized innovation period, it is significant for business endeavors to assemble a serious advantage to clients through distinctive administrations or responsiveness to dynamic business circumstance. Information or data like shopper opinions, experiences and sentiments on various product and services produced from various Social Media platform or sites helps to improve value of business organizations. Gathering data from Social Media (SM) sites and evaluating that data to make business decisions is called Social Media Analytics (SMA). SMA has been getting importance in the recent times due to 3.5 billion active usersâ€™ presence in Facebook, Instagram, Twitter, LinkedIn etc. An Integrated SMA framework based on Multi-Criteria Decision Making (MCDM) models and Machine Learning methods has been implemented. Machine Learning (ML) methods such as Naive Bayes, K-nearest neighbors (KNN), Decision Trees and Support Vector Machines (SVM) has been applied to classify data through Social Media Analytics operation using MCDM model based methods such as Analytical Hierarchy Process (AHP), Statistical Design Institute (SDI) Matrix method. The test results obviously exhibit that MCDM model systems alongside ML calculations successfully perform SMA activity.
The Popularity of Distance Learning among International Students in Hungary

With the rapid development of economic globalization and information technology, distance learning makes students study without distance limitations. Nowadays, high-level education organizations are not only top students’ privileges anymore, instead, everyone can get this opportunity due to distance learning. At the same time, studying at far-away organizations gradually comes true. Obviously, distance learning is influencing our life, especially during the COVID-19 pandemic, which plays a pivotal role in education. However, it also has some disadvantages, such as the weak study motivation and study effect, and the high requirement for devices. In this study, we examined some existing literature and our primary research will study the International students’ attitudes and their expectations about distance learning in Hungary. The research purpose is to reveal the popularity of distance learning among International students and provide suggestions for future distance learning.
Research on Time Synchronization Between Video Cameras and Between Video Camera and GNSS for Person Measurement

In Japan, towards the Tokyo Olympics and Paralympics, the Japan Sports Agency has been founded, and policies related to training athletes and improving competitiveness are being promoted. To achieve these policies, many researches use AI technology to analyze sports data gathered by video cameras and IoT devices. To make effective use of those data, it is necessary to manage them with a unified time stamp. However, it is difficult to unify the time stamp because these devices are not linked to each other. To solve this problem, the time synchronization is often adopted manually, but it costs a lot of manpower. Therefore, in this research, we firstly organize the problems of time synchronization between video cameras and between video cameras and GNSS device by investigating existing researches. And then, we propose an efficient and highly accurate time synchronization technologies that can solve these problems.
Linear Kalman–Bucy Filter with Vector Autoregressive Signal and Noise

We consider the linear Kalman–Bucy filter problem for a system in which a signal and a noise are independent vector stationary autoregressive processes with orders higher than 1. Recurrent equations for the filtration and its error are derived. The optimal definition of the initial data is proposed. We describe an example in which the algorithm leads to a stationary mode at infinity, as well as an example in which the Kalman–Bucy filter is impossible since the filtration error tends to infinity. The behavior of the signal and its filter is illustrated by the simulation of the signal and the noise as Gaussian vector stationary autoregressive processes. These examples support the theoretical conclusions.
Leonid Andreev's Letters to Zinaida Sibileva. Part 1. (1890–1891)

This is the first complete publication of Leonid Andreev’s letters to his first lover, Zinaida Nikolaevna Sibileva. The course of their relationships between 1889 and 1892 was stormy and very uneven. The letters reveal a lot of previously unknown features of Andreev’s life as a schoolboy and student. But more important is a certain diary of writer’s “mental states” reflected in them, the stream of his complex, sometimes “borderline” psychological experiences. Believing (with a reference to the authority of Maupassant) that the letters most accurately highlight the personality of a person, that they “reveal the soul without any embellishment,” Andreev at the same time regarded his epistolary opuses (as well as his diaries) as a kind of writing exercise.
Metallogeny of the Ljubija ore region

The Ljubija ore region is a part of the Triassic, regional, internal metallogenetic zone of the Middle Dinarides. It is located approximately in the middle of this larger metallogenetic unit and has many characteristics in common with its other parts. After many wanderings in the interpretation of the genesis of iron ore in Ljubija, it was definitely determined that the metallogeny of iron is of the Triassic age, then, that it is associated with the deep rift dislocations, which allowed the circulation of hydrothermal solutions originating from the Upper mantle, that the primary economic concentrations of iron are found only in the Olistostromic member of the Javorik flysch formation and the secondary ones, redeposited in the Neogene-Quaternary lake sediments of the Prijedor-Omarska basin. Based on the distribution of mineralization in the Ljubija ore region, two ore subregions, one polymetallic ore zone and a group of ore fields with barite, were identified. All the above knowledge, along with the analysis of control factors of mineralization and the main prospective indications, enabled the division of entire region into areas with various categories of perspectives according to the justification of further research. Based on the results of many years of research, this work presents the results of metallogenetic analysis of the Ljubija ore region. All results of the future research should continuously supplement, correct and improve the metallogenetic and prognostic map and our metallogenetic knowledge about the region.
Getting Meaningful Data

In this chapter, we discuss the aspects of getting data that is useful for creating data-driven personas. We start by introducing the concept of persona information needs, which refers to stakeholders’ requests for information. We then proceed to persona information display and design, which refers to how the selected information is displayed to end-users of data-driven personas. After this, we present the primary data collection strategies for data-driven personas, including surveys, text quantification, and automated data collection. Finally, we discuss five central data challenges: (1) availability; (2) specifications; (3) unknown measurement error; (4) bias; and (5) ethical concerns. We conclude by presenting takeaways and educational questions.