Reviewerly/exHarmony huggingface dataset:
Receptions of the “Piece Of Musiс” Concept in the Modern Scientific Discourse

The article is devoted to disclosure of multilevel comprehension of the “piece of music” concept in the modern musicology and determinants of the multiplicity of connotations of its ontological and phenomenological specifics in the interdisciplinary space of the humanities.&#x0D; The purpose of the article — to determine the specifics of reception of the “piece of music” concept and phenomenon in the modern scientific discourse.&#x0D; The methodology of research is complex and based on the comparative, cultural, art historical scientific approaches, fundamentals of systematic and analytical, phenomenological, descriptive and terminological methods of analysis with the use of musicological methodological tools.&#x0D; The results. The notional transformations of the “piece of music” concept in the musical culture of the second half of the XX century are studied and on the basis of systematization of modern trends and levels of analytics of the “piece of music” concept, generated in the humanistic and musicological area, new approaches to reception of the same concept and phenomenon (thesaurus, language and semiotic, discursive, communicative and psychological) are outlined. The cultural ambivalence of the music work phenomenon, the multilayered process of objectification of the artistic information, contained herein and presented in the intonation and figurative form, are disclosed.&#x0D; The scientific novelty of the article pertains to application of a hermeneutic and phenomenological approach to explication of the piece of music and its post-avant-garde modifications (installations, performances, “open” compositions etc., with their intension for unique and momentary expression of experience and unscriptedness in traditional frameworks of music opuses), constituting different manifestations and facets of an integral and multifaceted phenomenon of the music work and determination of its hypostasis as an artifact of culture, result of spiritual production, process/deliverables of the creator’s activities (author and performer), carrier of an artistic meaning (musical semantic image) and value context.&#x0D; It is emphasized that the ontological and existential nature of the music work, its functional and notional polyphony, the focus of the world images and the author image in its artistic fabric make it possible to consider it in the multiplicity of perspectives (philosophical and aesthetic, phenomenological, axiological, communicational and psychological, creative and practical, artistic and semantic, individual and personal, semiotic interpretation) and research paradigms.&#x0D; The practical significance of the scientific intelligence lies in a possibility to apply the hermeneutic and phenomenological approach in the further development of the problems of a music work and involvement of the findings in the musical and pedagogical areas, in the training courses “musical aesthetics”, “philosophy of music”, “musical interpretation”, “analysis of music works” etc.
Deep learning for comment spam and scams

As the popularity of online social networks has increased, so has the manner in which people purchase online. Online reviews on the purchasing of items or the provision of services have become the primary source of user opinion. When a substantial body of knowledge assesses a product or service, that body's effect on the market is significant. Because of this, concerns have been raised among manufacturers and merchants, who frequently compose rubbish reviews to promote or denigrate the quality of specific items or services in order to make a profit or maintain their reputation. You may choose to promote or denigrate certain products or services that have been targeted. This kind of commentary is known as "trash remark." Comment spam violates the interests of enterprises to a significant level, and it possesses a defensive mechanism that combines the "Deepfake" of artificial intelligence technology, which renders conventional security measures inapplicable. Deep learning is the approach that will be most effective in resolving this issue. Researchers assess this research according on how they extract features from the commentary dataset and how they extract features from the commentary dataset, employing a variety of methodologies and strategies to find solutions to the problems. The authors also looked at the key deep learning technologies that have been suggested as a solution to the issue of spam detection in the primary machine, as well as the performance of various deep learning technologies. At the same time, the fact that there is not a lot of spam online review data makes this sort of research a highly significant one. The purpose of this article is to offer an insightful and all-encompassing analysis of comparative research on the topic of spam detection that has recently been conducted.
The winning strategy for the Nim game-Jewish chess

Nim game is a part of the theory of game, which is important of the theoretical math. Jewish chess, a popular Nim game in China, is interesting people to discover its winning strategy. The basic rule is that each player can put 1-3 buttons each time from a single line or a single row. Whoever puts the last one loses the game. In this study, a good solution has been found, which can improve the winning percentage with random players up to about 90%. The strategy is based on the mirroring strategy, which means mirroring what the opponent does. By doing this, the goal of leaving the last button to the opponent can be achieved. However, in some cases that the basic mirroring strategy does not work, new methodologies to solve the problem have also been come up with. The study divides the cases into three sorts and give solutions to all of the three cases. These solutions are also based on the idea of mirroring the opponent's move. Nevertheless, the perfect strategy to gain 100% winning percentage has not been found yet. Also, the Jewish chess contains various types of patterns. The winning strategy of those patterns are not found, neither.
Vulnerabilities and attacks on the blockchain software engineering landscape

Blockchain is also known as Distributed Ledger Technology (DLT) and real transparencies of the history of digital assets by decentralization and encryption. It guarantees that the user's data never be erased, making it impossible to alter or falsify. Some people know that the "Blockchain revolution" can be compared with the internet and the web in their early days. As a result, all software development around blockchain is growing incredibly. Most software engineers are interested in blockchain technologies as they rush to develop unregulated software. Although some research has been performed on blockchain security and privacy concerns, a thorough analysis state of blockchain security is lacking. This article explores current problems and new principles for blockchain-oriented software engineering (BOSE) and discusses the need for new software engineering practices in the blockchain industry. Also, examine the solutions to improve blockchain protection, which might have been used to develop different blockchain applications, and suggest a few potential directions for moving research into this area.
Adversarial attacks in deep learning

Accompanying the advancement of deep learning models, which are now used in many different areas such as Nature Language Processing (NLP), Computer Vision (CV), and so on, the computationally exceedingly powerful deep ability of deep learning has outstanding performance in handling various tasks, have become a hot topic of concern. At present, research illustrates that if the input samples are interfered with using the adversarial sample technique, it can make most mainstream neural network models make wrong judgment results. Therefore, it becomes an important issue how to compensate for the shortcomings of existing neural network techniques in terms of security and robustness. This paper first introduces the development of adversarial attack techniques and then describes the theoretical foundations, algorithms, and applications. Then this paper designs an experiment to verify whether ResNet18 can be attacked under adversarial attacks and then subsequently discusses the open problems and challenges deep learning faces.
Using the Beneish M-score Model to Detect Financial Statement Fraud in the Microfinance Industry in Ghana

The paper sought to investigate the effect of corporate earnings manipulation on microfinance institutional failures in Ghana. The researchers employed a quantitative investigative technique to analyse data obtained from the Bank of Ghana (BOG) on microfinance companies covering eight-year intervals. Beneish M-scores model was used to analyse the sampled data. The study found a link between earnings manipulation and business failures in the Microfinance Sector of Ghana. It found the M-score model as an effective tool for uncovering early warning signs associated with corporate earnings management, thus, averting many negative repercussions related to the practice. The research findings are based on data obtained only from the microfinance industry of Ghana over an eight-year period. Reasons behind earnings manipulation could not be deduced from the research conclusions. A qualitative inquiry must be considered in future studies to explain the reasons for this phenomenon. Collecting and analysing data from more than one sector and across other geographical boundaries may enhance the applicability of the findings in other jurisdictions. This paper provides some recommendations that help early detection of fraud in the microfinance industry. The research focuses on a sector where data is very sensitive and confidential, hence, highly prone to fraud but hardly researched. It, therefore, adds to the scanty literature on fraud in this part of the economy.
PENGARUH MODEL PEMBELAJARAN VCT (VALUE CLARIFICATION TECHNIQUE) TERHADAP HASIL BELAJAR PADA MATA PELAJARAN PKN KELAS IV SEKOLAH DASAR

ABSTRACT&#x0D; The purpose of this study was to determine whether there was an effect of the VCT (Value Clarification Technique) model on learning outcomes of PKN grade IV elementary school. The method used in this research is the True Experimental Design type Experiment method in the form of Posttest Only Control Group Design. The population in this study used purposive sampling, namely class IV A and IV B. Data collection techniques were through tests, observation, documentation. Based on the research results and data analysis, it can be seen that the experimental class which was treated with the VCT (Value Clarification Technique) model had an average final score of 80.00 higher than the control class which was given treatment without using the VCT (Value Clarification Technique) model. technique) that is equal to 49.5. The results of testing the hypothesis obtained tcount = 7.561 and ttable 2.018, tcount &gt; ttable (7.561 &gt; 2.018) this was then compared with the ttable value of the confidence level ɑ = 5% (0.05), then H0 was rejected and Ha was accepted to conclude that there was a Model Effect Learning VCT (Value Clarification Technique) on Learning Outcomes in PKN Class IV Elementary School Subjects.
A Comparative Study of Symmetric Key Algorithms

Security is the prime issue while transferring information across a network. Therefore, the concept of encryption and decryption of information was introduced. Cryptography is a technique of converting plain information into encrypted text. This is done so that only legitimate users can access the data being sent. Cryptography can be mainly classified into two: 1) Symmetric key cryptography: Encryption and decryption are done using the same keys, and 2) Asymmetric key cryptography: Encryption and decryption of data is executed using private and public key. The symmetric key algorithm can be further categorized into: 1) Stream cipher and, 2) Block cipher. This paper compares three widely used Rivest Cipher algorithms which belong to class of symmetric key cryptography based on various parameters. Algorithms RC2 and RC6 belong to stream cipher and RC4 belong to block cipher respectively.
CYBER REALITY OF ART: THE INTERNET AS THE THIRD SPACE

The article is devoted to the problems of art in the third space, that understood as a special reality created by IT. Both the new organization of the artistic communication of the author – the work – the public, and the new expressive and technical possibilities of the art itself are considered. The purpose of the overview is to establish a correlation between the understanding of cyber reality and the new conditions of existence of the artistic artifact, to identify the features of virtual communication about art. The postcolonial third space theory of H. K. Bhabha is considered, which is the basis for the study of “zones of communication” and the virtual construction of the dialogue between individuals/cultures. Special attention is paid to the analysis of the practices of third space American theorist and art practice Randall Packer. An important aspect is the use of multimedia art itself in the practice of its site “The Third Space Network”, the reality of which depends significantly on information network technologies. Cyber reality ensures the relevance of modern art in the network, the main features of which are erasing the lines between expressive means of different types of art, active communication of artists – the public, the absence of a fourth wall, etc.
PENGARUH PENERAPAN METODE PEMBELAJARAN SNOWBALL THROWING MENINGKATKAN HASIL BELAJAR SISWA KELAS 4 PEMBELAJARAN MATEMATIKA

The purpose of this study was to determine the effect of using the Snowball Throwing learning method on the learning outcomes of students in grade IV SDN Kebon Pala 11 Pagi. This study used a quantitative experiment with a One Group Pretest-Posttest Design. The sample used in this study consisted of 58 students, the samples were taken by random sampling. In this study the data collection techniques were observation, testing and documentation. Then analyzed using an independent sample t test to determine whether there is a relationship between the Snowball Throwing learning method and student learning outcomes. Based on the results of the conclusion, the results of the t-test were obtained, namely tcount &gt; ttable (12,119 &gt; 2,003) with a significance level of 0,05. Based on the results of this study it was concluded that Ho was rejected and H1 was accepted.
Support of initiative in preschool children in cognitive research activities

In modern conditions, the Russian state and society express the need for new educational models that provide comprehensive and favorable development of minors, including preschoolers.Modeling of the process of developing the initiative of preschool children in the context of their inclusion in cognitive research activities has not been sufficiently studied.The purpose of the article is to develop a model to support the initiative of preschoolers in cognitive research activities and describe its phased practical implementation.Research methods: analysis of scientific and educational literature on pedagogy and psychology of preschool age; study of practice and generalization of experience in supporting the initiative of preschool children in cognitive research activities in a preschool educational institution; analysis of documents on the activities of Kindergarten № 1 in Murom; methods of research of various aspects of the initiative preschool children.Results.The model of initiative support for preschool children in cognitive research activity consists of target, criterion and technological blocks implemented in three stages: motivational, educational and activity.It is proved that effective types of cognitive research activities of preschool children in the process of supporting their initiatives are experimentation, collecting, modeling, conducting mini-studies, etc.It is proposed to organize an office, classes in which will ensure the development of primary natural science ideas, observation, curiosity, activity, mental operations in children.It is recommended to introduce methods of organizing cognitive research activities of children and supporting their initiatives into the activities of the preschool educational institution: "researcher's map", creation of layouts and play sets, case method, press conference, festival of children's research works and projects, virtual excursions.Conclusion.With the help of cognitive research activities, it is possible to form and keep up-to-date the interest of preschool children in research, gaining experience in successful own experimental activities, developing perception, thinking, speech.
Receptivity Level of Faculty Members in Universities Using Digital Learning Tools: A UTAUT Perspective

The research investigates the degree of receptivity level of faculty members in Jordanian universities using digital learning tools from a UTAUT perspective. To achieve the research objectives, the descriptive-analytical approach is used. The research sample consists of (387) faculty members selected by the purposeful random method. An electronic questionnaire is developed as a research instrument, and its validity and reliability are checked. The results show that the unified theory of acceptance and usage of technology’s conceptions and the use of digital learning are both highly significant. (UTAUT). The findings also show a strong positive and medium correlation among the constructs: performance expectations, effort expectations, and social influences and receptivity level. Besides, the results demonstrate a positive and weak correlation between the facilitating conditions construct and the degree of receptivity. The research recommends working on creating conditions that enhance the use of artificial intelligence in Jordanian public and private universities.
Effects of Immersive Virtual Reality Technology on Online Learning Outcomes

In the digital information era, such information technologies (ITs) as the Internet, big data, artificial intelligence (AI), and virtual reality (VR) are changing people’s production and lifestyle. Moreover, ITs have exerted significant influences on the thinking modes and learning styles of people. On the bases of such characteristics as sensory immersion, roaming, and manipulation, immersive VR (IVR) can support learners to pursue contextualized learning, promote their embodied cognition, improve their emotional experience, and solve problems of traditional classrooms, such as poor interaction, poor contextualization, and unreal immersion. This study used existing associated research as basis in analyzing the influences of IVR factors on degree of concentration, sense of traversing, emotional engagement, and sense of enjoyment on online learning outcome. Moreover, differences in learning outcomes under different contact periods IVR technology were analyzed. Research results are as follows. The overall Cronbach’s α, KMO value, and P value of the questionnaire are 0.905, 0.870, and 0.01, respectively. Degree of concentration, emotional engagement, and sense of enjoyment of IVR technology can promote online learning outcome significantly. Contact period with IVR technology has significant influences on learning outcome at the 0.01 level (F=3.895, p=0.009). Lastly, research conclusions provide important references in exploring the complicated relationship between sense of immersion and learning outcome in IVR environment, and in improving emotional experience and knowledge transfer based on IVR technology.
Specific Teaching for Dyslexia Children in Sekolah Disleksia Cendekia Kabupaten Kudus

Children with normal intelligence, children with memory, writing coherence, grammar comprehension confusion and other problems due to impaired brain function, including children with dyslexia. In addition, dyslexia can also lead to dysgraphia, which is difficulty writing. Children with dyslexia (who do not have dyscalculia) have difficulty with story questions that require comprehension. However, many people continue to misunderstand dyslexia and classify children with dyslexia as having special needs. Therefore, the purpose of this article is to define dyslexia, explain how a child with dyslexia is initially diagnosed, and outline the treatments used. This study examines 10 students from the Kudus Regency Academy of Dyslexia Scholars using qualitative research techniques and a case study design. Information collected through interactive observations, interview procedures and documentation.It was found that as many as 10 students in nine schools in Kudus Regency were dyslexia. However, after treatment, it took at least 3 to 6 months for changes to start to show, and the number of students who met the criteria was only 5. Conclusions include, among other things, that psychologists enforce the status of dyslexia, that each child must identify a unique problem, and that the treatment process is based on the degree of difficulty of dyslexia. Dyslexia children are children with normal intelligence who have difficulty reading.
Analysis of Persuasive Strategies in Cryptocurrency Scams: A Case Study in Malaysia

This study explores the persuasive strategies employed by scammers in cryptocurrency scams in Malaysia through the analysis of three scam articles.By applying Aristotle's persuasive modes (ethos, pathos, and logos), the research aims to uncover the linguistic manipulations used to deceive individuals into investing in fraudulent schemes.The findings highlight that scammers utilize ethos to establish credibility by associating their scams with renowned figures, while pathos appeals to emotions such as hope, excitement, and fear of missing out through personal success stories and emotional language.Logos is employed to present logical reasoning by emphasizing the safety, profitability, and advantages of the cryptocurrency platforms.These insights underscore the need for increased awareness and critical evaluation of cryptocurrency investments, as well as the development of countermeasures to protect individuals from scams.Future research directions may involve assessing the effectiveness of countermeasures and investigating evolving language techniques employed by scammers.By shedding light on persuasive strategies, this study aims to contribute to the prevention and detection of cryptocurrency scams, safeguarding potential victims from financial harm.
The relationship between blockchain and government regulation and governanceThe distinctions between different countries

Blockchain technology, derived from the underlying technology of Bitcoin, is a decentralized infrastructure and distributed computing paradigm that has emerged with the growing use of digital technology in the financial sector[1]. This digital ledgers for distributed storage has brought technological innovation for governments to control in areas such as various financial institutions and technology companies. Blockchain is being developed in major countries around the world, and this technology does bring opportunities for innovation in government governance as well as challenges for government regulation of ICOs. In the era of economic globalization, to develop blockchain technology comprehensively also needs to face policies and regulations in different countries. This paper will explore the relationship and impact between blockchain and government regulation and governance through directed analysis method, combined with application cases, and compare the regulatory system under different countries' policies and national conditions.