Reviewerly/exHarmony huggingface dataset:
ASSESSMENT OF FORMATION OF THE MOBILITY OF THE FUTURE TEACHER IN THE DIGITAL EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY

The article is devoted to assessing the formation of the level of mobility of the future teacher in the digital educational environment of the university. The main features and components of such mobility, the types of student activities in which it manifests itself are highlighted. Characteristic assessments of mobility components for each such activity are determined. Methods for diagnosing the formed level of mobility are listed. Examples of tasks for the formation of the initial level of mobility of the future teacher in the digital educational environment of the university are described. The effectiveness of the system analysis of the generated mobilities using these methods is proved.
RESOURCES FOR IMPROVING PRE-PROFESSIONAL MILITARY TRAINING OF STUDENTS OF CADET SCHOOL

The article is devoted to the presentation of resources for improving the pre-professional military training of pupils of cadet schools. Allocated resources internal and external in relation to the system of cadet education. The internal resources for the formation of the primary skills of military collectivism and leadership are considered. The insufficiency of the use of team activity resources was noted. It is proposed to expand the study of external resources on the example of the interaction of the Orenburg Presidential Cadet School with the structural divisions of the Orenburg State University. The need for a program of interaction between the cadet school and the military training center of the university is indicated.
Blockchain-Enabled Marketing Analytics for Enhanced Campaign Transparency

In the digital age, blockchain technology has enormous potential to transform marketing analytics and improve campaign transparency. This project aims to investigate how blockchain-enabled marketing analytics might enhance the efficacy and transparency of campaigns. The primary aims of the research were to examine the difficulties associated with conventional marketing analytics, investigate blockchain-based remedies, evaluate real-world case studies, deliberate on potential future paths and valuable suggestions, and evaluate the constraints and policy ramifications. The study's approach comprised a thorough analysis of case studies, literature, and professional comments from blockchain and marketing analytics experts. The fundamental discoveries include discovering blockchain-based solutions for conventional marketing analytics problems, presenting real-world applications through case studies, identifying future directions, and helpful adoption advice. The need for regulatory frameworks to manage data privacy issues, advance interoperability, and assist with initiatives for cooperation and education are among the policy consequences. This study sheds light on the revolutionary possibilities of blockchain-enabled marketing analytics for raising campaign transparency and spurring innovation in digital marketing.
Pelatihan dan Pendampingan Pembuatan Prototipe E-Modul Interaktif Melalui Book Creator bagi Guru SD di Lembaga Pendidikan Maarif NU Kota Surabaya

In general, elementary schools in the Maarif NU Educational Institution in Surabaya City do not have IT-based learning laboratories so that learning is always carried out in class. In addition, learning is still dominant using conventional media, namely blackboards and books, rarely using computer media. This happens because of the lack of teachers who understand the creation and use of computer-based learning media. Therefore, in an effort to utilize technology in learning, it is necessary to hold training on making e-modules with Book Creator. The methods for implementing this activity are as follows: field observations, analyze partner needs and offer solutions, make system designs, create materials related to interactive and interesting e-modules through book creators, carry out training and assistance in accordance with the title of community service, and conduct evaluation and reflection activities. This service activity was considered very successful. This success can be seen from the analysis of partner needs and the results of the t-test which show a significant value of the participants' competence before and after participating in the training. Thus, it can be concluded that this training and mentoring activity succeeded in increasing the digital literacy skills of the training participants.
PENDAMPINGAN LITERASI KEUANGAN BAGI UMKM DI RUKUN WARGA (RW) 003 KELURAHAN KALISARI

More than 90 percent of business activities in Kalisari Village can be categorized as Micro, Small and Medium Enterprises (MSMEs). MSME actors in the Kalisari Village generally experience problems in terms of financial management (financial literacy), even though MSME actors must be able to manage their finances well so that their business activities are successful. efforts regarding financial literacy with the aim of increasing knowledge and being able to overcome financial problems faced. Partners in the activity are 3 business actors in the Rukun Warga area (RW 003 Kelurahan Kalisari, Pasar Rebo District, East Jakarta. Partners are very enthusiastic in participating in business assistance and consulting which is marked by frequent regular consultations. The result of community service activities is partner knowledge regarding literacy financial literacy has increased by 33.81 percent, and problems faced by partners regarding literacy or financial management can be overcome. Assistance activities for partners still need to be continued with material adapted to the problems faced by partners.
Simulation Of The K-Means Clustering Algorithm With The Elbow Method in Making Clusters Of Provincial Poverty Levels in Indonesia

One way to ensure that government programs and assistance for each province are right on target is to create a model of grouping or clustering provinces in Indonesia based on poverty levels. Algorithm K Means is one of the clustering methods in Data Mining to divide n observations into k groups so that each observation is in the group with the closest mean. In this study, provincial poverty level clustering in Indonesia will be made based on three poverty level indicators, namely the Percentage of Poor Population (P0), Poverty Depth (P1), and Poverty Severity (P2) with the K-Means Algorithm using the Elbow Method assisted by the Python Program. The results obtained are 5 optimal clusters of provincial poverty rates in Indonesia.
REVIEW ON DATA MANAGEMENT IN CLOUD COMPUTING

The present cloud computing time opens another road for organizations to consider moving their information data management solutions to the cloud. It is demonstrated through recent successful deployments that data management applications are one of the most suitable candidates for deployment in the cloud. Data management in cloud Computing brings many challenges as well as advantages. This paper represents the current state of data management solutions in the cloud and the current direction of research in Data management in Cloud Computing. It is necessary to contemplate that cloud-based data management is a very fluid field, which means technologies are changing rapidly. It is also important that the industry is investing more as compared to other fields of data management, thus making an interesting subject for detailed study.
CYBERBULLYING IN E-LEARNING PLATFORM: AN EXPLORATORY STUDY THROUGH TEXT MINING ANALYTICS

The adoption and use of Learning Management System (LMS) in Higher Education Institutions (HEIs) have become inevitable for teaching and learning process. It facilitates communications between teachers and students, as well as among students, regardless of physical barriers and time. However, there is also a dark side to the online environment, given more and more adolescents admit they have been the victims or bystanders of cyberbullying. In order to ensure that the online learning environment is safe for everyone, it is critical to assess the extent of the conversation carried out through the platform so as to ensure that no such misconduct is carried out via LMS. This paper also aimed to propose a practical solution to combat cyberbullying in an educational platform, and shed some lights on the potential applications of text mining techniques in educational research.
Towards Cross-lingual Representation of Prototypical Lexical Knowledge

In order to be concretely effective, many Natural Language Processing (NLP) applications require the availability of lexical resources providing varied, broadly shared, and language-unbounded (i.e., not limited to any specific language or linguistic system) lexical information. However, state-of-the-art knowledge models typically focus on specific levels of semantic analysis rather than adopting such a comprehensive and cross-lingual approach to lexical knowledge. This is often due to the theoretical paradigms on which such resources are based, each addressing the semantic phenomenon from a (de)finite perspective. In this paper, we first suggest a maximalist approach to lexical semantics to pursue through the idea of semantic prototype and linguistic representativeness as easily applicable to textual corpora. Starting from this conceptual framework, we thus propose a novel corpus-based automatable methodology for knowledge modeling based on a multilingual word alignment mechanism. This model enables the retrieval and encoding of prototypical, language-unbounded, and naturally disambiguated lexical knowledge in the form of diversified conceptual links between words and their senses. Results from a simple implementation of the proposal show relevant outcomes that are not found in other resources. Finally, different application opportunities of the proposed model will be presented.
The Kolipsi Corpus Family: Resources for Learner Corpus Research in Italian and German

This article describes the Kolipsi Corpus Family (KCF), a collection of eight related resources for learner corpus research in German and Italian. The KCF supports the study of second language (L2) acquisition of Italian and German in upper secondary schools. It subsumes four L2 corpora with comparable corpus design (with respect to data collection, writing tasks, additional metadata, annotation and processing), portraying two homogeneous learner groups and their learner varieties. The corpora are representative of language learners in the multilingual Italian province of South Tyrol, where both languages are taught daily. The L2 corpora were collected at two different points in time, in 2007 (Kolipsi-1) and 2014 (Kolipsi-2), and all texts were labeled with CEFR levels to allow comparisons of proficiency levels across time. L2 German texts were collected in schools with Italian as the main language of instruction, whereas L2 Italian texts were collected in schools with German as the main language of instruction. Additional resources within the KCF allow researchers to compare the students' language competences in their L2 with the language competences in their first language (L1) in a different task (Kolipsi-Matura) and with similarly aged L1 writers performing the same task (Kolipsi-1-L1). All texts are freely available to the scientific community. Access to the data is granted via an ANNIS search interface and via the Eurac Research CLARIN Repository, from which corpus data can be downloaded in various formats.
#DeactivHate: An Educational Experience for Recognizing and Counteracting Online Hate Speech

The possibility of raising awareness –especially in young generations– about misbehavior online such as hate speech, could help society to reduce its impact, and thus, its negative consequences. In the last years, the Computer Science Department of the University of Turin has designed various technologies that support educational projects and activities in this perspective. In this paper, we describe the creation of a laboratory called #DeactivHate, specifically designed for secondary school students. The laboratory aims at countering hateful phenomena online and making students aware of technologies that they use on a daily basis. We describe the teaching experience of the first year of life of the laboratory held in different high school classes between April 2021 and March 2022 and the outcomes of the technologies and activities tested. In this extended version of the paper, some sections are especially devoted to observe and analyze the impact of the course on students and their perspective on the laboratory.
POS Tagging and Lemmatization of Historical Varieties of Languages. The Challenge of Old Italian

The paper discusses the challenges of POS tagging and lemmatization of historical varieties of Italian, and reports for both tasks the results of experiments carried out in a classical supervised domain adaptation scenario using the diachronic and typologically differentiated corpus built for the "Vocabolario Dinamico dell'Italiano Moderno" (VoDIM). For what concerns POS tagging, the effectiveness of retrained models is illustrated and substantiated with quantitative data, with a specific view to linguistic annotation results obtained with respect to specific language evolution stages, domains and textual genres. For lemmatization, different customized models have been developed, including lexicon-assisted ones and models retrained with historical annotated texts. In both cases, a detailed error analysis is provided.
Intelligent Installation Design and Implementation of Automatic Performative Transcription for Plucked String Instrument

Since the 20th century, synthesizers and MIDI keyboards offer composers more convenient operation and a higher creative ceiling. However, traditional Chinese plucked instruments like the Pipa have only just begun to explore the realms of electronic music and automatic notation. This study focuses on the Pipa as the subject, aiming to design and implement a device that captures performance-related data while maintaining the original conditions of the instrument, and automatically transcribes this data into musical notation.This study presents a data collection module based on Arduino hardware. This design involves detection by making certain modifications to the instrument and connecting wires to the instrument's frets which achieves real-time detection of the performer's finger movements via a hardware loop, collecting performance data for transcription. This setup allows performer to record and preserve details of their performance, including the fingering and string values for each note played. Through extensive research on sensors and underlying theories, this study has essentially achieved an intelligent device for the automatic notation of plucked instrument performances. Furthermore, with further refinements, it can also be applied to more complex,technically rich musical compositions and more instruments in the future.
Reading attitudes and practices: the Italian experience (Overview of statistical data)

In this article, up-to-date statistical data from studies and polls revealing reading activity in recent years in Italy will be presented. In particular, we will focus on the profile of young people in Italy as readers - their reading preferences, attitudes and habits. Emphasis will be placed on the efforts of Italian institutions (schools, libraries, publishing houses) to promote reading.
Science Fiction in Ukraine: 1920–2020

The variability in the genre of Ukrainian science fiction (SF) has always been determined by the requirements of the time and the political situation. That is why the fiction of the 1920s promoted the ideology of naive techno-communism, but during the next forty years it became obvious that the Soviet project had reached a dead end, and its positivist component had not brought the desired results. Ukrainian SF writers then turned to mysticism and denial of a rational view of the world.
Information: Modern Concepts

The paper reappraises our understanding of information without favoring any specific perspective. The paper presents the various conceptualizations of information, including biological information, natural information, pragmatic information, physical information, quantum information, quantified information, relative information, semantic information, semiotic information, epistemic information, ontological information, and syntactic information, together with some of their variants. In the search for a unifying perspective on information, the paper looks at two general theories of information: the General Definition of Information (GDI) and the General Theory of Information (GTI), arguing that the GTI appears to be the better of these two options. The paper is intended to be as complete and comprehensive as possible, sacrificing the analytical part (that may be found in referred sources) for the breadth of coverage.
Holistic Data Security: A Balanced Approach to Data and Privacy

The expansion of the data economy has raised a multitude of concerns that scholars worldwide are working towards overcoming. Given the divergent views on data in fields such as law, economics, and sociology, varying approaches to data governance have been suggested. However, regardless of the approach chosen, the multi- dimensional aspects of data should not be disregarded. This book incorporates various research viewpoints on data governance and introduces the innovative notion of “Holistic Data Security”, which can offer fresh avenues for exploration by academics across diverse fields of study.
Workshop Virtual Reality bagi Guru untuk Meningkatkan Inovasi Pembelajaran pada SMK Muhammadiyah 2 Pekanbaru

This community service aims to enhance learning innovation through the use of virtual reality technology for teachers at SMK Muhammadiyah 2 Pekanbaru. Through virtual reality workshops, it is hoped that participating teachers will be able to independently innovate and improve the quality of their learning and use their knowledge, test, and continue to acquire and personalise learning innovations. This workshop has the impact of enhancing the knowledge and skills of educators, especially in the field of virtual reality technology, in metaverse schools in the field of education. Metaverse is an innovation in learning practice. The participants are all 50 teachers from Muhammadiyah Vocational School 2, Pekanbaru. The activity will take place from September 29 to August 7, 2023. The material for this activity is the teacher's knowledge about dealing with millennials, the teacher's knowledge about using technology in learning, the teacher's knowledge about interactive teaching, teachers' knowledge and skills of virtual reality technology, and teachers' knowledge and skills of implementing virtual reality in learning schools. The impact that students achieve is an increase in their knowledge of virtual reality technology as a means of interactive learning in the classroom and in the laboratory. During this time, the school has become a virtual reality pilot project for super schools and has acted as a school barometer with virtual reality promotions in Pekanbaru City, Province Riau, and even across the country. The success of this workshop was measured by managing pre-deployment and post-deployment tests using the same test. After participating in this workshop, teachers' ability to apply virtual reality technology to learning increased by 40%.
SUSTAINABLE BANKING AND ITS MAIN DETERMINANTS – EVIDENCE FROM THE SERBIAN BANKING SECTOR

Throughout the past decade, sustainability has been one of the most important topics among academics and within the business community. The adoption of ESG practice and the creation of holistic business models is on the agenda of the entire financial industry, predominantly among banking and investment entities. The paper aims to analyse the regulatory framework and current practice of sustainable business models with respect to the most important international banks operating within the Serbian economy. The analysis encompasses the descriptive assessment of ESG regulations, the reporting framework in the sustainability domain, and the quantitative analysis of ESG metrics and their statistical relationship with banks’ financial performance. Due to various limitations, such as a lack of quantitative metrics and an unstandardized reporting practice, research was performed on a sample of four international banks operating in Serbia, for the period between the years 2015 and 2021. The statistical results of the regression analysis do not show a significant relationship between ESG metrics and the financial performance of the examined banks.
White-box attacks on hate-speech BERT classiﬁers in German with explicit and implicit character-level defense

Attention-based transformer models have achieved state-of-the-art results in natural language processing (NLP). However, recent work shows that the underlying attention mechanism can be exploited by adversaries to craft malicious inputs designed to induce spurious outputs, thereby harming model performance and trustworthiness. Unlike in the vision domain, the literature examining neural networks under adversarial conditions in the NLP domain is limited and most of it focuses mainly on the English language. In this article, we first analyze the adversarial robustness of Bidirectional Encoder Representations from Transformers (BERT) models for German data sets. Second, we introduce two novel NLP attacks: a character-level and a word-level attacks, both of which utilize attention scores to calculate where to inject character-level and word-level noise, respectively. Finally, we present two defense strategies against the attacks above. The first implicit character-level defense is a variant of adversarial training, which trains a new classifier capable of abstaining/rejecting certain (ideally adversarial) inputs. The other explicit character-level defense learns a latent representation of the complete training data vocabulary and then maps all tokens of an input example to the same latent space, enabling the replacement of all out-of-vocabulary tokens with the most similar in-vocabulary tokens based on the cosine similarity metric.
Bitcoin in the BRICS: A Decade of Adoption and Economic Impact

The Bitcoin market has expanded its wings and overshadowed the globe at a remarkable speed over its short span of time. Introduced in 2008, this financial innovation possesses properties of both, a currency as well as an asset. Over the past decade, BRICS i.e. Brazil, Russia, India, China and South Africa is playing an increasingly important role in the global economy. Seeking the growing prominence of Bitcoin, the present study aims at exploring its status of Bitcoin in the BRICS nations. Using the secondary data of Google Trend time series, Google Trend country interest point and Bitcoin core software download, its status in BRICS nations is analysed. The findings imply that amongst the BRICS, China and Russia are the economies which are highly embracing this new fintech innovation. This financial mechanism can facilitate increased free flow of capital and international trade, thus,integrating the international financial market to ensure sustainable development of BRICS.