Reviewerly/exHarmony huggingface dataset:
PSYCHOLOGICAL PRECONDITIONS OF MUSICAL CREATIVITY

The purpose of the article is to analyze the psychological foundations of creative thinking as a prerequisite for musical creativity. The methodology is determined by the works in the field of psychology, which focus on the psychology of creativity, the problems of musical talent and creative thinking, encyclopedic resources, which reveal the essence of the notion of creativity, and musicology studies devoted to the issues of the creative process and musical activity. Scientific novelty consists of scientific comprehension of preconditions of musical creativity; in systematizing the psychological foundations of the creative process; in finding out the principles of creative thinking. Conclusions. Musical creativity is a complex process of artistic and creative thinking, which involves the creation of new spiritually valuable works. The psychological preconditions of musical creativity, such as talent, skill, intuition, creativity, and improvisation, are connected, first of all, with the psychic and mental development of the individual. However, the role of learning, acquiring skills and experience, the formation of imagination and accumulation of impressions is of great importance, because the process of creativity is associated with mental operations on the material primarily through conscious mechanisms. In the musical creativity there is an active and continuous correlation between the conscious and the unconscious. These two types of thinking complement each other, alternating depending on the tasks set before the composer. Creative tasks are realized with the help of creative-psychological settings, among which, the important role of emotions, intuition, reason, logic, rational principle, intelligence, and fantasy is evident.
Примена анализе социјалних мрежа у истраживањима онлајн криминалних форума

The paper discusses the basic assumptions about the functioning of cybercrime groups, when offenses are committed on the Internet, as a place, medium and target. The functioning of online criminal forums and markets, as the most important forms of criminal organization on the Internet, can be explored, among other methods and techniques, by the application of Social Network Analysis (SNA). SNA represents the concept and set of methods and techniques for social networking research. Online crime forums are a specific form of social networks, made up of individuals connected by common criminal activities, on the basis of which they build relationships. The basic concept, application possibilities and basic metrics of SNA are presented, which can describe the structure and functioning of criminal networks on the Internet. Determining the role and position of individuals in the network can help law enforcement to eliminate the forum activities and to sanction the responsible persons. The developed data collection and processing soft ware facilitates the deployment of SNA and enables the analysis of wide networks with a large number of participants. The given research examples show the wide possibilities of application of SNA, whereby it is learned about the structure and way of functioning of online criminal forums, relations between participants, modes of transactions, preservation of trust and key members of the criminal network.
Differential Evolution Optimized a Second-Order Divided Difference Particle Filter

In order to improve the estimation accuracy of particle filter algorithm in a nonlinear system state estimation problem, a new algorithm based on the second-order divided difference filter to generate the proposed distribution and the differential evolution algorithm for resampling is proposed. The second-order divided difference based on Strling’s interpolation formula is used to generate approximations to nonlinear dynamics, which avoids the evaluation of the Jacobian derivative matrix and is easy to implement. Cholesky factorization is used to ensure the positive definiteness of the covariance matrix. The truncated errors of the local linearization are reduced to a certain extent, and the approximation degree of the proposed distribution to the posterior probability of the system state is improved. The differential evolution algorithm is used to replace the traditional resampling algorithm, which effectively mitigates the problem of particle degradation. Monte Carlo simulation experiments show the effectiveness of the new algorithm.
QUALITY STANDARDS OF PRESS IMAGES IN NEWS WEBSITES

This research aims to reveal the quality standards available in press images published in the news sites, the Iraqi News Agency and Al-Mada Press for the period from: 1/9/2019, to: 30/9/2019. The research is a descriptive research, in which the researcher relied on the survey methodology to achieve its objectives. The research reached a number of results, most notably the weak role of photojournalists in the websites and the adoption of those the Internet as a source for obtaining press images published with news and reports through its pages, as well as the neglect of the standard Description/Comment below the press images, which plays an important function in explaining and interpreting them for users.
Service-oriented Data Mining Architecture for Climate-Smart Agriculture

The increasing volume of agricultural data and the availability of advanced technologies such as mobile platforms and connected devices have revolutionized the way data is captured, processed, stored and mined.The technologies have been applied in everyday life including agriculture, to enable creation of seamless systems that are intuitive and capable of providing real-time, affordable and accessible data to aid decision making.However, due to the inherent challenges of mobile platforms such as low-bandwidth networks, reduced storage space, limited battery power, slower processors and small screens to visualize the results, have hindered onboard data mining.Also, mobile devices have different platforms, which makes integration with server applications problematic.This paper, therefore, sought to solve these problems by proposing application of service-oriented architecture (SOA) based on web services, and artificial neural network (ANN) to facilitate mobile data mining of large agronomic and climate data, and prediction of yield and weather patterns.The architecture was proposed after a critical review of the available mobile data mining architecture.SOA was an ideal choice since it uses web services to improve interoperability between clients and server applications independently from the different platforms they execute on hence providing data mining capabilities to mobile devices.The paper proposes a 7-layer architectural design premised on the concept advanced in the SO-M-Miner model.The components of the architecture included an SMS gateway, data client, mobile networks, web service, database and ODBC connector.
Place Of Information And Communication Technologies In Interaction In The Information Society

Introduction. Each historical time and cultural environment has its own peculiarities of social interaction. In the modern world, thanks to information and communication technologies, the process of interaction and its development is significantly changing. The culture of the information society is becoming the background on which a complex and heterogeneous system of interaction unfolds. Computer and information technology are transforming the existing forms of social interaction, contributing into the destruction of habitual communication. The aim of this article is to identify the place of information and communication technologies in the process of interaction in the information society. The tasks for achieving this goal are the comparison of the concepts of the philosophers F. Batsevich, Yu. Habermas, M. Bakhtin, according to which the basis of universal civilization development is a consistent change of types of communications, in particular the specificity of the functioning of the information space. Research methods. Socio-cultural and synergistic approaches will be used to achieve the goal and more specific research objectives. Research results. The historical development of society demonstrates various types of communication. Let us turn to the concepts closest to our study, according to which the basis of general civilizational development is a consistent change in types of communications: the concept of F. Batsevich's feedback, the idea of the uniqueness of the individual, the constant choice of his own identity of Yu. Habermas, the presence of a hypothetical contextualist audience of M. Bakhtin. Conclusion. The analysis makes it clear that the confrontation between traditions and innovations is increasing, the gaps between generations are widening, the hierarchy of values and priorities in the mass consciousness is changing, norms and patterns of behavior, practices and technologies of communication are being transformed. Information and communication technologies are the newest attribute of interaction in the conditions of informatization of society and an important factor of functioning of all its subsystems.
Computational linguistics &amp; EFL reading comprehension: The KPG text classification profile

Advances in Computational Linguistics and Machine Learning systems have made it possible for EFL teachers, material developers and test designers to go beyond surface text components and adopt more theoretically sound approaches to text readability, focusing on a wider range of deep text features.Taking advantage of recent developments, the present research explored the existence of any statistically significant lexicogrammatical differences between intermediate and advanced reading comprehension exam texts of the Greek State Certificate of English Language Proficiency national exams in order to better define text complexity per level of competence.The main outcome of the research has been the Text Classification Profile that includes a qualitative and quantitative description features pertinent in intermediate and advanced reading comprehension exam texts.
A Framework and Cryptography Algorithm for Protecting Sensitive Data on Cloud Service Providers

Most companies are sceptical about the security and insurance measures offered by cloud services and are reluctant to store sensitive data, such as employee records, in the cloud. Thus, more effort is needed to support the security of information in cloud computing. This paper proposes a cryptography algorithm called ―random algorithm‖ because it is built on the idea of randomising the encryption of uploaded files among four encryption algorithms. The proposed fragmentation technique helps add security and privacy to cloud storage applications. Based on earlier studies, we have created a file-level fragmentation technique that does not work at the database level, in contrast to commonly employed approaches in the case of fragmentation techniques such as horizontal fragmentation, vertical fragmentation, and hybrid fragmentation, which do work at the database level. The proposed encryption algorithm and fragmentation technique work within an integrated security framework that includes a user authentication gateway that encrypts user registration data through a cryptography algorithm called the RivestShamir-Adleman algorithm (RSA). The results of the proposed security framework were positive, as it contributed to reducing the encryption time and decoding time by approximately 99%, compared to earlier studies
Convolutional Neural Network Based Side-Channel Attacks with Customized Filters

Deep learning is progressively gaining attention as a powerful tool for conducting profiling side-channel attacks. In particular, convolutional neural network (CNN) is one of the mostly employed learning techniques in the context of side-channel analysis. The first layer of a standard CNN always performs a set of convolutions between the input and some finite impulse response filters. In this work, we substitute the standard filter by a customized filter borrowed from the domain of speaker recognition due to the resemblance between the power traces and speech signals. In contrast to standard filters, the new filter only depends on parameters with a clear physical meaning, where only low and high cutoff frequencies are learned from the training data. Experimental results obtained from public datasets show that the side-channel attacks based on CNNs equipped with this new filter are more effective and robust than attacks based on standard CNNs. The results of this work open new perspective and encourage further research on the effect of the filters of the CNN-based side-channel attacks.
The prosody of the TV news speaking style in Brazilian Portuguese

This study characterizes the prosodic structure of the TV news speaking style in Brazil and compares it to the speech of interview subjects on a television talk show.Fifteen distinct metrics, designed to characterize both temporal and melodic characteristics of speech, were evaluated on the two speaking styles.The results of the analysis show that the TV news speaking style is characterized by a lack of filled pauses, a fast speaking rate, few and short silent pauses, and a high percentage of dynamic tones.However, the only metric for which the difference in speaking styles was shown to be statistically significant was the intra-vocalic mean melodic movement.
Using Vocabulary Self-Collection Strategy (VSS) to Improve Mastery Student’s Vocabulary

The research aims to know that Vocabulary Self-collection Strategy (VSS) can improve students’ vocabulary mastery and to find out how far Vocabulary Self-Collection Strategy (VSS) can be useful for the students' vocabulary mastery at the second-grade students of SMP Sinar Husni Medan. The methodology of this research used Classroom Action Research. It was conducted on a two-cycle. In analyzing the data, the researcher used quantitative data. The implementation of Vocabulary Self-collection Strategy (VSS) in teaching vocabulary at eight grade students was successful. It can be seen from the progress of the mean score in cycle I to cycle II. Mean score in a period I 71.20 % and rating in cycle II 78.80 %. The implementation Vocabulary Self-collection Strategy (VSS) as a learning strategy was not only increasing students' mean score but also increase students' motivation and behavior. The students were more interested, happy, and active in teaching-learning English, especially vocabulary. Based on the result above, it could be concluded that Vocabulary Self - Collection Strategy (VSS) improved their students’ vocabulary mastery.&#x0D; Keywords: vocabulary mastery, vocabulary self-collection strategy (VSS)
A Cultural Approach To The Study Of Inclusive Education

Introduction. In recent years, the problems of studying the value of inclusive education have become relevant in national education and society. The article examines the influence of cultural values on the development of inclusive education in Ukraine, on the definition of its goals and content and the leading role of its humanistic component in the spiritual, moral and intellectual formation of students on the basis of assimilation of their socio-cultural values. The aim of the article is to study the inculturation of people with special educational needs in the context of the development of national special education. The tasks of the article are to consider the education peculiarities of the children with special educational needs in the institutions of inclusive education in the cultural aspect, to explore the importance of the socio-cultural environment for their development. Research methods. The paper uses general scientific and special research methods. The main among them was the method of analysis. In addition, induction, deduction, etc. were used. Research results. The necessity of introducing culturogical perspective while setting goals for the inclusive education and evaluation of its capabilities is addressed in the article. In the process of education of the people with disabilities it is important to take into account their specific cultural needs. Recognition of the special cultural needs imply the description of the particular system of relationships, the identification systems, the specificity of the constituent elements of cultural environment adequate for people with disabilities, emphasizing the importance of a group as a condition of human development, searching for the language of communication, both for internal needs of this group and for communication with other groups. The need to revise the conceptions of culture in contemporary theory and practice of inclusion is justified towards a more productive use of cultural knowledge in the process of creating a developmental learning environment. The possibility application of cultural forms which can be found in the arsenal of traditional cultures and artistic practices of contemporary art are discussed in creating supportive social and cultural environment that promotes inclusion of people with disabilities into society. Discussion. The views on the content of the inclusive education concept are analyzed. The author substantiates the expediency to denote this term of education for all children who study in a general educational institution. Conclusion. The introduction of elements of social and cultural activities into the inclusive educational process will help the actors of inclusive process master cultural standards and patterns of behavior, meet the spiritual needs and needs for communication, will contribute to their positive perceptions of each other and change the attitude towards the phenomenon of disability. The creative social and cultural environment of the inclusive educational space makes it possible to facilitate the socialization of children with special educational needs.
Embedding the Cartesian Space Principles in a Smile, an Inclusive Learning Method for K12.

It is now well established that the negative emotions the child experiences for not understanding a mathematical topic mark their emotional memory associated with that topic. We’ve been investigating which tangible and accessible tools prevent the development of a pathological allergy to a fundamental concept as it is the Cartesian space, seeking for kid-friendly gates to the subject. When fear and pain for not understanding traces an escape pattern from this topic at a young age the child’s ability to relate to all its didactic applications can be seriously jeopardized, marking (when not identified) the school career and sub-sequent attitudes towards all the fields of theoretical and practical application of it. The elementary approach in explaining the Cartesian space principles to the children remains mainly linked to traditional visualization models of three-dimensional images on two-dimensional space, e.g., paper, blackboard, and screens. Only recently, augmented reality has been used as a teaching aid for visualizing objects in the actual three-dimensional space. Those systems are suitable for children naturally predisposed to mathematical and/or visual-cognitive intelligence, who are not suffering from any visual impairment. This is a non-inclusive system of access to understanding such fundamental topic as the Cartesian space. Topic which is later essential to an extended comprehension of geometry, mathematics, representation of objects, and concepts. The aim of the research was to find and test a support system to complement the standard two-dimensional and visual-only approach and to guarantee a complete and consistent sensorial experience of the definition of the Cartesian space through physical, material, and modular forms. We sought to create a bond between the concept and its real representation. This system should be extended to different ages of development and types of intelligence and backgrounds, transversal to environments and contexts of usage (family/school), also for visually impaired children. The developed tools pro-vide the child an early and positive emotional bond, prior to any traditional scholastic approach, with the fundamental principles of the Cartesian space through methods such as free play, trial and error, experimentation and share of the emotions while engaging in cooperative activities.
Correction to: A robust self-weighted SELO regression model

In the print published article, the reference 19 was published incorrectly and the correct reference is given below.
Implementation of Fuzzy C-Means algorithm to classifying research topics in informatics department, UIN Sunan Gunung

Abstract The more rapid and large number of electronic documents stored in University library repositories or Departments, such as scientific works from academicians including theses, research reports, etc., are available in the digital version. In the process of grouping the thesis title automatically it is hoped that it can help policy makers such as the head of the study program. In this case the researcher uses fuzzy c-means algorithm which can group data in clusters so that the data of a cluster has a high level of equality with each other. In the application there is a text mining method which is a development of data mining that can be applied to overcome thesis grouping problems or research data. The result is a web that can classify research data / thesis data with a total accuracy of 96%. This number is the accuracy given based on the performance of the fuzzy c-means algorithm on the system.
Modern Adaptive Technologies of Individual Work with Masters of Education Management

This article discusses the process of training masters in managing an educational institution and its individual components, namely the creation of an individual adaptive scenario for the training of master masters, the filling of which depends on the creativity of the teacher and the motivation of the undergraduate. The necessity of searching for new technologies and diverse options for professional training of masters is emphasized.&#x0D; The success of the training of master-managers depends on the filling of the process of training in technologies, techniques, innovative and interactive methods, practice-oriented, multi-level tasks. Therefore, an individual adaptive master's script should consist of correctly selected tools.&#x0D; According to the author, adaptive technologies can automatically become a powerful tool for an individual scenario in the preparation of masters in managing an educational institution, which can automatically provide individual support for each student and work effectively at a subject-subject level.&#x0D; The text of this article discusses an effective practice-oriented modern technology of “coaching”, which is capable of fundamentally changing the behavior model of a future manager, revealing his inner potential and helping to master the culture of managing teaching staff.&#x0D; During the study, the author selected coaching techniques for the discipline that is taught to graduate students in school management in the first year of study “Conflicts in management”, since the future manager needs to learn how to adequately resolve conflict situations, be able to decompose the conflict into parts, find out its causes, see hidden motives, interests of the parties to the conflict. The “Wheel of balance” and “Generator of new behavior” techniques with the following description of step-by-step actions are presented as an effective tool.