Reviewerly/exHarmony huggingface dataset:
An Intelligent Music Production Technology Based on Generation Confrontation Mechanism

In recent years, with the development of deep neural network becoming more and more mature, especially after the proposal of generative confrontation mechanism, academia has made many achievements in the research of image, video and text generation. Therefore, scholars began to use similar attempts in the research of music generation. Therefore, based on the existing theoretical technology and research work, this paper studies music production, and then proposes an intelligent music production technology based on generation confrontation mechanism to enrich the research in the field of computer music generation. This paper takes the music generation method based on generation countermeasure mechanism as the research topic, and mainly studies the following: after studying the existing music generation model based on generation countermeasure network, a time structure model for maintaining music coherence is proposed. In music generation, avoid manual input and ensure the interdependence between tracks. At the same time, this paper studies and implements the generation method of discrete music events based on multi track, including multi track correlation model and discrete processing. The lakh MIDI data set is studied. On this basis, the lakh MIDI is pre-processed to obtain the LMD piano roll data set, which is used in the music generation experiment of MCT-GAN. When studying the multi track music generation based on generation countermeasure network, this paper studies and analyzes three models, and puts forward the multi track music generation method based on CT-GAN, which mainly improves the existing music generation model based on GAN. Finally, the generation results of MCT-GAN are compared with those of Muse-GAN, so as to reflect the improvement effect of MCT-GAN. Select 20 auditees to listen to the generated music and real music and distinguish them. Finally, analyze them according to the evaluation results. After evaluation, it is concluded that the research effect of multi track music generation based on CT-GAN is improved.
Apache Mahout based Book Recommendation System

E-Commerce websites plays an important role in an individual’s life as it serves as the medium for online shopping with a huge audience. With the commencement of the pandemic due to novel coronavirus, the involvement of E-Commerce websites for shopping has drastically increased or more precisely it remains as the only medium to shop. With the increasing demand for online shopping on E-Commerce websites, the role of the Recommendation System has also become vital as it accomplishes the goal to make Personalized Recommendation for users. In this paper, we set out Apache Mahout-based Book Recommendation System to help recommend books to users. With this paper, we have described our project that recommends books to users on the basis of the user’s prior experience of purchase. The platform utilizing this recommendation system is developed using Spring Framework as a part of our project. The dataset used in the process is taken from Kaggle. Dataset has ratings for various books given by users. As a part of the User-based Collaborative Filtering recommendation technique, Euclidean Distance Similarity is used as a similarity measure along with Nearest N User Neighborhood and Generic User-Based Recommender to give quality results as compared to the existing system. To get the best quality recommendation we have obtained an evaluation score of 0.5 for Euclidean Distance Similarity
A Novel Approach of Tailoring PMBOK activities that best suit Software Development Projects

Project management is very critical for any project's success regardless of its category. Various Project management methodologies are available that provide set of guidelines and standards to effectively and efficiently manage projects in the organization. Managing software development projects has faced a lot of challenges while complying with these project management methodologies. This is mainly because project management methodologies like PMBOK does not provide specific guidelines for managing software development projects. This embarks the importance of project management tailoring activities in the software development firms, to tailor these project management methodologies according to their own need. This paper will propose six most essential tailoring activities for managing software development projects. These tailoring activities will be performed on the project management body of knowledge (PMBOK).
Education of elderly people as an essential educational problem

Серія 5. Педагогічні науки: реалії та перспективи to motivate students to learn English in an online learning environment; the formation of students' intrinsic interest in mastering the English language; ensuring close interaction between the students and the teacher.The prospect of further research is seen in the study of tendencies in the development of learning foreign languages for Professional Purposes in online mode by students of technical specialties in the context of the Covid-19 pandemic.
Young teacher’s educational activity in improving professional competencies of the school staff

The purpose of the study is to analyze the experience of self-organization of the educational activity of a young teacher as a resource for improving the professional competencies of the school staff. The article conceptually presents a comparative analysis of scientific approaches to the concept of «educational activity» in foreign and Russian research practice. On the basis of generalization of sources, clarification and interpretation of formulations, a new approach to understanding educational activity is proposed for the professional readiness of a young teacher to improve the professional competencies of the teaching staff of a general education school. The author solves the urgent problem of improving the professional competencies of teaching staff with work experience who have not undergone special training for organizing the educational process in a distance format. Young teachers acted as advanced translators of online communication tools in the school pedagogical community. The article presents the results of an online survey of 170 young teachers from 30 general education organizations of the Volga Federal District using the Google Docs application. The undertaken research and the conclusions drawn based on its results expand the discourse on the national system of lifelong pedagogical education. It is emphasized that the educational activity of a young teacher allows you to design an individual trajectory of professional growth «in the workplace», to build relationships that create space for improving the professional competencies of colleagues.
Morphological Edge Detection on CT Images

In this paper, a novel mathematical morphology edge detection algorithm is proposed to detect lungs CT medical image edge. It is a better method for edge information detecting and noise filtering than differential operation, which is sensitive to noise. And it is a better compromise method between noise smoothing and edge orientation, but the computation is more complex than general morphological edge detection algorithms
Is Gender a Factor in Variations in Meta Discourse on Political Matters in Zambia? An Investigation Based on Some Zambian Female and Male Written Discourses in Post Newspaper Opinion Articles

This study is grounded in discourse analysis (DA).In linguistics, DA is a systematic study of naturally occurring communication which can be in form of written or spoken texts (Bevalas, et.al quoted in Knapp and Daly,2002).Examples of texts, among others include newspaper opinion articles.A discourse analyst is essentiallya person who analyses these texts with a view to discovering patterns in the use of linguistic devices, that is,'who uses language, how, why and when' (van Dijk, 1997c, p. 3).The present study focused on female and male use of linguistic devices called metadiscourse markers (MMs) in discourses in form of newspaper opinion articles on political matters.MMs are linguistic devices used by writers to organize their discourse and express their stance about the content or the reader (Hyland, 2005). Overview of MetadiscourseThe term metadiscourse was originally introduced by a structural linguist Zelig Harris in 1959.Nonetheless, it only gained its popularity in applied linguistics in the mid 1980s with the pioneering works of Vande Kopple (1985), Crismore (1989) and Williams (1981).Metadiscourse is a concept based on a view that writing is not a mere exchange of information of various kinds but a social engagement between writers and readers; or speakers and listeners (Hyland, 2005a). Hyland's Theory of MetadiscourseAccording to Hyland, writing is not all about text production but assessment of the readers' or listeners' resources for understanding the text being produced in order to engage them effectively by organizing the text and commenting on it in such a way that it can be understood as intended by the text producer.Arising from his theorization of MD, Hyland subdivided metadiscourse into two dimensions: interactiveandinteractional dimensions.Interactive elements are features of a text that index the assumptions a writer makes about his/her reader while the interactional refers to expressions of the writer's position and stance, and therefore, is an expression of 'the writer's voice or community based personality'(Hyland,
An Empirical Investigation on Cost Estimation Challenges in Agile Software Development (ASD) Context

The agile software development (ASD) replaced other traditional approaches such as a waterfall or incremental, in which there is no instrument used for changing requirements. Agile is a better method to run the company and economy, as it satisfies the clients via timely and continual delivery of software. Nowadays, it has become the most well-known technique because it accepts the change requirements of the projects. Hence, it is difficult to get precise cost estimation because of continuous changes. Nevertheless, we acknowledge that in the context of ASD, various effort estimation techniques have been reported. However, to the best of our knowledge, existing effort estimation techniques/models do not include the additional factors needed to compute accurate effort estimation in the context of ASD. It is beneficial to identify all the factors contributing to the cost overhead to improve the agile effort estimation process. Thus, the research aims to find out important and relevant factors in the ASD context. Moreover, the most common challenges and reasons for improving effort estimation in ASD are also highlighted. We believe that the results of this research could be helpful to assist the practitioners working in the ASD environment.
Результати анкетування пілотів щодо готовності до міжкультурної взаємодії

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Students’ Speaking Skill Trough Storytelling Technique At Smp Negeri 4 Tanjung Morawa

Abstract&#x0D; &#x0D; A speaking talent is the ability to say or recite an idea that a person has, and it includes features of pronunciation, vocabulary, and syntax. The objective of speaking is to express a thought or sensation that has arisen in the individual as a result of listening to music or learningcontent. The storytelling technique is one way to help pupils enhance their speaking abilities. Storytelling is a fascinating practice that encourages children to use their imaginations.Storytelling can assist them improve their language abilities while also deepening and broadening their comprehension of the story's characters.&#x0D; A qualitative research design is used in this study. The goal of this study is to help researchers and readers understand what media and approaches teachers use in the classroom to help students, particularly junior high school students, enhance their vocabulary.&#x0D; &#x0D; &#x0D; Keywords : Storytelling, Effect, Speaking skill
Beta and Logistic Function Driven Encryption for Compressed Images

The cloud-based data storage scenario is continually demanding more storage space with the increasing use of images from various sources, in this way the information should be compacted likewise with the security. Representing an image by using a lesser number of bits and too without much compromise of the image quality is known as faithful image compression. Compressing files will conserve disk space, speed up file transmission, and reduce expenses for computer equipment and communication bandwidth. The current manuscript presents the idea of combining the phenomenon of Beta and Logistic based chaos for encryption with a powerful compression scheme DWT-SPIHT. DWT is being used to reduce the image file size without reducing the quality, resulting in higher resolution. SPIHT is a technique that incorporates the implicit similarities in a wavelet decomposition of an image across the sub-bands for compression. It is among the most effective technique for the compression of images dependent on wavelets. The fundamental advantage of the DWT-SPIHT with Beta and chaos strategy is decent picture quality with less mean square error. The validity of the method is demonstrated and analyzed with the help of some common metrics such as compression rate, PSNR, MSE, and correlation coefficient.
GENESIS TOWER OF BABEL

The main thing is to understand the binary paradigm. At the base of the tower are 4 orthogonal phases of genesis: 00, 01, 11, 10. A model of consciousness with triads of lower and upper registers is constructed. Changes in lowercase cause changes in uppercase. The introduction of the upper digital register allows you to build a METALOGIC that clearly demonstrates fractality.
Analysis of the need for development of e-module based on interactive media learning in the era of the pandemic

The COVID-19 pandemic has had a big impact on almost all sectors, including the education sector. What felt from this outbreak is the learning process from offline to online. The change in the learning process requires educators to be creative in developing learning resources, especially online learning resources to facilitate the learning. The purpose of this study was to obtain initial data as a requirement for the development of interactive media-based e-modules. The research that will be conducting is descriptive qualitative. The population used is students of SMP/MTs in Malang, with a sample of 30 students of class IX in MTs. Sunan Ampel Poncokusumo, 30 Class IX students at SMPI Nurul Hikmah Assalafiyah Poncokusumo, 15 SMP Sunan Kalijogo Jabung Class IX students at and 15 Class IX students at SMP Plus Fityani Pujon. The instruments used are observation sheets, questionnaires and interview sheets. Data collection techniques were carried out using observation, distributing questionnaires and interviews. Data were analyzed using descriptive analysis. The results of the needs analysis test show that online-based teaching materials are needed to support the learning process in the era of the covid-19 pandemic, where 96.67% of students need an online-based teaching material and 100% of the results of teacher interviews need to develop online-based teaching materials. Based on the results of the research and discussion, it can be concluded that there is a need for the development of interactive media-based e-modules as a learning solution in the pandemic era. The results of this need analysis test can be used as basic data for the development of interactive media-based e-modules.
Students’ Perspectives Toward The Use of Diary As Learning Strategy in English Literary Criticism Subject

This study is aimed to elaborate the students’ perspectives toward the use of diary as learning strategy in English Literary CriticismSubject of English Department, Universitas Negeri Gorontalo. The participants of this research are the students of class D that consist of 22 students at the 6th semester in academic year of 2018/2019. Using a qualitative method, the data were obtained fromsemi structure interview. This study also used Braun and Clarke theory as the technique of analyzing the data. Therefore, questions of interview were adapted and developed from Patton As a result of this research, the students believed that the use of diary can help them in teaching and learning process. Instead of impacting students, this strategy also indirectly provides benefits for the lecturers in the classroom. It is suggested to use a diary for instructional purposes as it can help students in developing their own learning processes and strategies. Besides, the strategy also has some negative impact, such as the lack of understanding new material which makes it difficult for students to learn independently and also some of the students only copied the diary fromtheir friends without discovering and reading the books by themselves. Therefore, the role of the lecturers is very important in the classroom to examine what they have written, to clarify and explain again the materials that are still confusing for the students.
Preparation of Teachers for Spiritual and Moral Education

The purpose of this research is improvement of bachelor’s and master’s programs in education for the spiritual and moral development of pupils. The relevance is proved with analysis of the data on value orientations of future teachers. The need to rely on traditional religious cultures of the country is noted. The research is aimed at forming of special programs of future teachers’ professional development through increasing their competence in the fields of theory and methods of spiritual and moral education and maintaining their professional position in the process of spiritual and moral education. The age dynamics of value orientations and methods of their appropriation, the dominance of cognitive, axiological or praxeological approaches at each stage are taken into account. Modular master's courses for teachers with higher pedagogical education are proposed, including the foundations of the main religious cultures; the courses for foreign language teachers can be supplemented by the religious culture of the studied folks. Participants prefer the combination of traditional and part-time e-learning master’s course. The importance of traditional "teacher-disciple" relationships and student-centered approach to educational activities as an environment to facilitate students’ abilities is underlined.
POLITICAL STATEMENTS IN THE SOCIAL NETWORKS AND THEIR LINGUISTIC EXAMINATION

The paper deals with the political texts in social media and their linguistic expertise, the existing problems in this field and the current solutions, which have been and should be proposed.
Unsupervised knowledge discovery in 'big' materials data

A major objective in recent computational materials research has been the search and discovery of novel materials with superior properties.However, prior to the availability of immense computational power, materials design was guided by conceptual frameworks for synthesis-structure-property relationships, such as Pauling's Rules, the Hume-Rothery Rules, Pettifor Tables, Structure Maps, Ashby Tables, etc.Not only can these heuristic frameworks point us towards new and valuable materials, they also provide a satisfying conceptual foundation upon which to base our scientific intuition.In this talk, I will discuss how we can leverage unsupervised machine-learning algorithms to extract new heuristic relationships from modern large-scale materials databases.In order to extract meaningful synthesis-structure-property relationships, we will first need physically-relevant materials features.Many relevant materials features are not immediately available in current materials property databases.Determination of which features to construct will likely rely on domain knowledge and physical intuition, at least in the near-term future.We will demonstrate how these computational materials discovery and informatics tools can be used to survey, visualize, and explain stability relationships across the inorganic ternary metal nitrides [1]. 1.W. Sun et al., "A map of the inorganic ternary metal nitrides", Nature Materials (2019)
Speech and Opinion Recognition from a Conversation

Speech Recognition is an interdisciplinary technique used to convert spoken language into text. It is a sub domain of computational linguistics and can be implemented using Machine Learning and Deep Learning Algorithms. Opinion Mining or Sentiment Analysis is a process which enables identifying opinions expressed by an author in a piece of text computationally. This opinion refers to the polarity of the expressed opinion, i.e. positive or negative. Through this research work, we aim to combine these two natural language processing techniques and devise a system that can take speech as the input and determine the sentiment behind the speakers’ words. The subject of the speech input may vary but the end goal is to recognize whether the attitude of the speaker towards the subject was positive or negative. The input will be converted to text and this text will then be classified using several different machine learning techniques. These include Naïve Bayes’ Classifier, Support Vector Machine, Logistic Regression and Decision Trees. After classification, the results for the three classifiers will be predicted and compared. Future scope of the project includes creating an ensemble of these classifiers to get better accuracy and precision of determining the sentiment of the speaker.
Preface

CGDIP 2019 was held in Rome, Italy, July 25-27, 2019. CGDIP 2019 was organized by Asia Pacific Institute of Science and Engineering. This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments and successful practices in computer graphics and digital image processing. The participants of the conference were from almost every part of the world, with background of either academia or industry, even well-known enterprise. The success and prosperity of the conference is reflected high level of the papers received. The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. This book covers 2chapters: 1. Applications and Implementations; 2. Theory, Methods and Algorithms. We would like to acknowledge all of those who supported CGDIP2019. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the organizing committee for their valuable advices in the organization and helpful peer review of the papers. We sincerely hope that CGDIP2019will be a forum for excellent discussions that will put forward new ideas and promote collaborative researches. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes. Shahram Latifi, University of Nevada, Las Vegas, USA Conference Committee Chair
Особливості роботи викладача англійської мови у Вищих навчальних закладах України в умовах дистанційного навчання

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Visualisation and analysis of large neural data in virtual reality

Recently, advances in volumetric imaging have enabled the acquisition of high resolution images, leading to an increase in data size and complexity of structures within a diversity of organisms. Visualization and analysis of complex 3D data remain a challenge as specific actions like segmentation and selection in 3D images are tedious on a 2D screen. This problem is even more critical when several structures with different characteristics and contrasts are visualized together.