Reviewerly/exHarmony huggingface dataset:
Jazz composition in the modern educational process

The teaching system is periodically updated and improved. The article outlines the perspective of using jazz composition in the system of musical education. Its expediency is emphasized, and its conditionality is shown by several interacting factors that contribute to the formation of professional skills of a musician-performer and teacher. In addition, the characteristic features that distinguish it from other musical disciplines are identified. At the same time, jazz composition as a technique for creating works is the basis for the formation and development of a musical style that involves the search for an individual performing style. Jazz composition is considered as a sphere of modern musical culture that meets the needs of musicians and listeners. The article shows the importance of jazz composition in the realities of the development of musical styles, emphasizes its importance in the system of values of musical culture, the objective meaning of which is determined by its inherent nature in several components of the modern creative process.
E-GOVERNANCE PHASED SECURITY MODEL

E-Governance is basically the use of internet expertise as a tool for exchanging information, providing services and transacting with people, businesses and other areas of government.E-Governance provides a sound approach to reinforce overall governance.It not only perk up accountability, intelligibility and effectiveness of government processes, but also smooth the progress of sustainability and inclusive growth.E-Governance also provides an instrument of straight delivery of public services to the trivial segments of the society in the remotest corners, without having to deal with mediators.This paper deals with analysis of the existing models and find out threats at each level and develop a new model to overcome these threats.
A New Clustering Algorithm Toward Building Segmentation From Aerial Images by Utilizing RGB‐Component Differences

Abstract For the image segmentation task, deep features‐based deep learning methods have strict data requirements on the quality and quantity, which limits their application in irregular scenes, such as the villages subjected to geological hazards in the complex mountains. However, traditional algorithms with shallow and middle features are unable to utilize the complex information of unmanned aerial vehicle (UAV) remote sensing images effectively. To address this issue, we proposed a new image segmentation algorithm by using the RGB component difference clustering (RGBCDC). In this method, after dimensionality reduction of RGB color space from three dimensions to two dimensions, the distance between similar objects would be diminished and the distance between disturbance areas would be enlarged. Two different UAV data sets (3,000 in total) have been used to compare the proposed algorithm with the traditional segmentation algorithms and the deep learning‐based methods. Results show that the average pixel accuracy is 13.11%, 11.86%, 13.84%, 8.00%, and 9.86% higher than Octree Quantization clustering algorithm, Region Growing algorithm, Watershed algorithm, K‐Means algorithm, and SLIC superpixel segmentation algorithm, respectively. When facing insufficient samples, the new method performed better than deep learning algorithms, such as Deeplabv3, PSPnet, UNET, and UISBB. In general, the proposed algorithm for building segmentation shows a better potential for use in uncommon situations, especially for rapid emergency rescue after serious mountain hazards.
A multilabel approach to Portuguese clinical named entity recognition

Objectives: Clinical Named Entity Recognition is a critical Natural Language Processing task, as it could support biomedical research and healthcare systems. While most extracted clinical entities are based on single-label concepts, it is very common in the clinical domain entities with more than one semantic category simultaneously. This work proposes BERT-based models to support multilabel clinical named entity recognition in the Portuguese language. Methods: For the experiment, we used the Label Powerset method applied to the multilabel corpus SemClinBr. Results: We compare our results with a Conditional Random Fields baseline, reaching +2.1 in precision, +11.2 in recall, and +7.4 in F1 with a clinical-biomedical BERT model (BioBERTpt). Conclusion: We achieved higher results for both exact and partial metrics, contributing to the multilabel semantic processing of clinical narratives in Portuguese.
Árvore da Ciência: Uma Plataforma para Exploração da Genealogia Acadêmica Brasileira

Identifying and studying the formation of researchers over the years is a challenging task, as current repositories of theses and dissertations are cataloged in a decentralized manner in different digital libraries. In this paper, we take a step forward towards building a large repository to record the Brazilian academic genealogy. For this, we collected data from the Lattes platform, maintained by the Brazilian National Council for Scientific and Technological Development (CNPq), and developed a user-oriented platform to generate the academic genealogy trees of Brazilian researchers from them, also providing additional data on the main properties of such trees. Our effort has identified interesting aspects related to the academic career of the Brazilian researchers, which highlight the importance of cataloging their academic genealogy trees.
THE EFFECTS OF VOCABULARY AND GRAMMAR MASTERY ON STUDENT'S ABILITY TO WRITE ENGLISH (Survey at Private Vocational School in East Jakarta)

This study aimed to determine the effect of mastery of vocabulary on students' ability to write English. Furthermore, to determine the effects of vocabulary and grammar mastery on students' ability to write English. The research method used was a survey method; samples were taken as many as 70 students with a simple random technique. Data collection using the instrument: tests, data analysis using descriptive statistics such as finding the mean, median, mode, standard deviation, multiple linear regression, normality test data, hypothesis testing, and inferencial statistics to find the correlation coefficient with the calculated T-test and F calculated. The research process takes a month, where the researcher gives the direct tests in class XI of vocational school. The research is done from September to January 2020. The hypothesis of this study is 1) There is a significant influence of mastering vocabulary and mastering grammar together on student's ability to write English, 2) There is a significant influence of mastering vocabulary on student's ability to write English, 3) There is a significant influence of mastering grammar on student's ability to write English. The research method used statistics with the help of Microsoft Excel and SPSS 22.0. Conclusions from the results of this study's analysis: There is a significant influence of mastering vocabulary and grammar mastery on students' ability to write English at private Vocational School in east Jakarta. This is evidenced by the acquisition of Sig = 0,000 &amp;lt; 0.05 and F count = 9,403. Second, there is a significant influence of vocabulary mastery on students' writing English at a private Vocational School in east Jakarta. This is evidenced by the acquisition of Sig = 0,029 &amp;lt; 0,05 and t count = 2,229. Third, there is a significant influence of grammar mastery on student's ability to write English at a private Vocational School in east Jakarta. This is evidenced by the acquisition of Sig = 0,002 &amp;lt; 0,05 and t count = 3,304.
TEACHING GRAMMAR THROUGH VISUAL ILLUSTRATION FOR THE UNIVERSITY STUDENTS

Teaching grammar needs to be developed by the lecturer or the teacher. The lecturer must find out an alternative way to build good atmosphere in teaching grammar. Hence, one of the alternative ways is through visual illustration. This study examined the visual illustration towards the students’ grammar ability enhancement and the problems of the students in learning grammar and the solution. This study combined quantitative and qualitative method in answering the research questions. The instruments are grammar test and interview guideline. The result showed that visual illustration technique is effective in teaching grammar for students. It can be proved by the result of simple statistic calculation, where the score of significant is lower than 0.05 (0.00 &lt; 0.05). Besides, students faced several problems in learning grammar, such as are misuse tenses, misuse modal auxiliary, misuse nominal and verbal sentence, and pronoun. The reason students faced those problems can be caused by the student itself, lecturer and inadequate knowledge.
Training of pedagogical staff for conducting activities in the conditions of inclusive education

The evidence from practice shows that currently teachers are not competent enough in the field of inclusive education. Consequently, in the context of inclusive education, there is a growing need to train teachers who will teach students with disabilities. The purpose of the academic paper is to study the features of teachers’ training for conducting activities in the conditions of inclusive education on the example of the experience of the European Union’s member states. Methods: theoretical analysis, abstraction, description, observation, graphical representation, systems analysis, comparison, experiment, measurement, modeling and generalization. It has been determined that Luxembourg, Denmark, Sweden, the Netherlands and Austria have occupied leading positions in the Inclusive Development Index in 2018, according to which the level of inclusive development of these countries is very high. It is proposed to conduct a study of the features of teachers’ training for conducting activities in the conditions of inclusive education, based on the experience of Luxembourg, Denmark, Sweden, the Netherlands and Austria.
The main ways of implementing gaming technologies in the process of career guidance work for choosing the profession of an engineer

The paper considers play as a teaching method in career guidance activities of high school students and believe that play is most adequate in career guidance work, because with its help various kinds of students’ initiatives can be implemented, which is extremely important for this process. And from this position, play cannot be separated from activity and must be considered as a way of realizing it. Didactic research establishes not only the content, essence, signs, characteristics and features of certain processes, factors, phenomena, but also the conditions for their effective functioning. The main purpose of career guidance work is to form the professional orientation of students, to provide them with assistance and support in the process of self-determination when choosing. If career guidance work is carried out in the learning process, then it is of a specific nature. Its main feature is the close connection of the acquired theoretical knowledge with individual skills and possible skills that may be required in the process of professional activity, as well as with possible objects and tools of labor. For this it is necessary to simulate the possible future components of a particular profession, and all these components must be properly organized. Gaming technologies help in this issue.
THE USE OF SIMPLE PAST TENSE VERB AND PERSONAL PRONOUN IN WRITING RECOUNT TEXT

&lt;p&gt;The aim of the research is to know the use of simple past tense verb and personal pronoun in writing recount text. The method of this research is Dulay’s Surface Strategy Taxonomy. The result of the classification was calculated by the frequency and the percentage of each error: 1) The error of simple Past Tense Verb is 247which consist of, the lowest is 14 errors or 5,6% % for Misordering, 18 errors or 38,2 % for addition, 59 errors or 23,8% for omission and The highest 156 errors or 63,1% for Misinformation. 2) The error of using Pronouns in writing recount text the writer found the total error is 17. The highest error is misordering which consists of 14 errors or 82,3%, the second error is misinformation consist of 2 errors or 11,7%. The third error is addition consist of 1 errors or 5,8%, and the last place is omission, it is there is no found error.&lt;/p&gt;
Developing the Skill of Semantic Reading in the Process of Drawing up Annotations to Works of Art among Fourth-Graders

The article deals with the problem of developing the skill of semantic reading in the fourth-graders in the process of making annotations to works of art. The need to develop the skill of semantic reading is confirmed by the requirements of the federal state educational standard of primary general education. The question of the selection of methodological techniques, exercises, forms and means aimed at developing the semantic reading skills of younger schoolchildren remains relevant. The article analyzes the research of domestic scientists and individual teachers-practitioners on the formation of semantic reading skills and on teaching younger students to make annotations in primary school. The authors found that in these studies, there is no relationship between learning to annotate and the development of semantic reading skills. The purpose of the article is to determine the conditions for the development of semantic reading skills in fourth-graders in the process of writing annotations to works of art. To achieve this goal, a pedagogical study was conducted. As a result of the research, a step-by-step program for teaching children to make annotations to read works and a workbook “Learning to make annotations” were developed and experimentally tested. The theoretical significance of the study is to expand the known ideas about the development of the semantic reading skill of primary school students in the process of purposeful teaching them to compose annotations to works of art.
The Use of Sing along Song in the learning of the Possessive Adjective and Possessive Pronoun

The pupils at a rural school were struggling to master the usage of Possessive Adjective and Possessive Pronoun .This action research was done to improve the usage of the Possessive adjective (PA) and Possessive pronoun (PP) among the pupils of a rural school with the use of the sing along song.This action research involved 16 year 4 low proficiency pupils of a rural school.The data was collected by using the test score of their pretest,post test and structured interview.This action research adopt the Kemmis and Mctaggart cyclic process.The finding shows that the sing along song helped in improving the usage of Possessive Adjective and Possessive Pronoun among the pupils.The pupils retain the improvement in their ability to identify and differentiate each types of the pronouns when the pupil's score increase in their post test and also in their score for the second interview.
Implementation of K-Means clustering algorithm in mapping the groups of graduated or dropped-out students in the Management Department of the National University

This study aims to determine the characteristics of students who are likely to graduate or drop out (DO) in the management department of the National University, Jakarta. The study was conducted by implementing the K-Means algorithm, where each data is grouped according to the closest distance to the centroid. Determination of Cluster C1 graduate or C2 drop out is based on the attributes of status of students (active, leave, out and non-active), educational status (graduated or DO), GPA, total credits taken and length of study. To facilitate the clustering process, Orange tools are used that provide K-Means algorithm features. The total data input in this study were 1988 students from various classes. As a result, a pattern or mapping of graduated or DO students was found based on the attributes mentioned earlier. Testing the results of this cluster with the silhouette method, by measuring the distance between cluster members, both C1 and C2, showed good Silhouetter value, reaching 85%. The management department, National University can use the results of this study to predict the graduation of their students.
Penerapan Media Lectora Untuk Meningkatkan Hasil Belajar Mahasiswa Pada Mata Kuliah Perkembangan Motorik

The background of the research is the lack of understanding of students in learning motor development courses. The occurrence of boredom in the Motor development course, monotonous learning and learning activities and because students have difficulty in motor development courses. And the need for innovation and the use of science and technology in terms of learning. Due to Less creative and innovative learning. For this reason, the aim of research is that learning motoric subjects is interesting, practical to use and the learning process goes well. This research uses the Class Action Research (CAR) method by going through 4 stages of research, namely in short by the name (4 D) planning, action, observation and reflection. There are two cycles. This research proves an increase by using the Lectora application for students in the 2019/2020 school year. It can be seen that the validation of material experts is 90,75%., Media experts with a total score of 84.03%, small group trials. The result is 86.85 with an average feasibility of 87.21% including in the "very valid" category. So that all students have completed and achieved the specified SKM. The result is an increase.
Synchronization Correction Enforced by JPEG Compression in Image Watermarking Scheme for Handheld Mobile Devices

Unauthorized Internet attacks against the watermarked images lead to the impossibility of a blind watermark extraction if the transmitted image is not normalized to its original geometric state. The aim of this study is to detect the regions in the watermarked image robust to rotation, scaling and translation (RST) attacks, enforced by additional immunity to JPEG lossy compression. Our algorithm is based on the simulation of JPEG lossy compression with following extraction of feature points using handcrafted and deep learning approaches. We incorporate JSNet as a JPEG simulator and Key.Net as an enforced way to find feature points invariant to RST attacks. As a result, we select the best anchor points, the coordinates of which are put into the secret key. Applying the same procedure to the transmitted image, we detect and recalculate the positions of the anchor points in the transmitted watermarked image, geometrically synchronizing with the original watermarked image and successfully extract the watermark. To address the mobile aspect, we exploited the simplest deep network architectures as far as the problem allowed with other clarifications.
Enhancing stress management training and communication skills of nursing students during COVID-19 pandemic based on augmented reality

Enhancing stress management training and communication skills of nursing students during COVID-19 pandemic based on augmented reality
Penerapan Diagnosing Organisasi Melalui Intervensi Technostruktural: Studi Literatur

Organizational diagnosis is one of the main components in planning change. Organizational diagnosis is fundamental to school development. This can be seen from the organization's diagnosis through technostructural intervention, because it is related to organizational design, employees/employees, and work design. Technostructural intervention method focuses on changes in organizational structure and design, so it tends to be more focused on organizational infrastructure aspects. This method will produce the output of increasing attention to productivity and organizational effectiveness in schools, such as the quality of work culture and methods for designing all components in schools. Schools need to know and strive to meet existing indicators or criteria in order to become a growing organization with high integrity.
PREPARATION OF FUTURE EDUCATORS TO LEADERSHIP OF ARTISTIC AND CREATIVE ACTIVITY OF CHILDREN OF PRESCHOOL AGE

An urgent issue for preschool education is the training of specialists in the specialty 012 “Preschool Education” to carry out educational work in the field of art, and creativity. Modern scientific works that cover the issues of training future teachers on these issues have been studied. The article is devoted to the issues of preparing future pedagogues for leadership of artistic and creative activity in artistic labor of preschool children in pre-school establishments. It was found that the acquisition of professional competencies should take place not only through the enrichment of knowledge, skills and abilities of students from higher educational institutions but also through the improvement of their own culture. The aim of the article is to outline the features of professional preparation of future educators to guidance artistically-creative activity of children of preschool age in the process of artistic labor. In the article, some scientific research on the problem of formation of professional competence of future educators are analyzed. The peculiarities of professional training of students to the leadership of artistic and creative activity of artistic labor of preschool children are revealed in the article. The author proposes the use of modern pedagogical technologies to intensify the students’ activity in the course of studying the course “Art work and the basics of design”: educational games, master classes, mini-projects, heuristic receptions of training (“transformation”, “brain attack”, “improvement”, “Direct analogy”, “symbolic analogy”, “professional self-improvement”), receptions of creative training “Karus”: “combining”, “search analogues”, “universalization”, “suggestive questions”. The author discovered the use of various non-traditional artistic techniques that have been included in the work with preschool children recently: quilling, beading, decoupage, sculpting out of salty dough, creation of a lapbook, workshop, etc. The application of the proposed pedagogical technologies contributes to the effective training of future educators for the leadership of artistic labor in modern pre-school establishments.&#x0D; Keywords: artistic and creative activity, artistic labor, training of specialists, competency, modern pedagogical technologies, master class, mini-project, workshop.
Load Balancing Server and Homomorphic Encryption in Internet of Things

User demand for Internet of Things (IoT) services is ever increasing. The growing user demand can lead to an escalation of server workloads and faces the threat of theft of critical data. Consequently, a system is necessary to balance the server load and is protected with data encryption. In this study, we designed a system to share server workloads using load balancing methods. The load balancing technique uses open-source web server software. The system is equipped with data security using a homomorphic encryption algorithm from AES on the sender's side. The system embeds in an IoT telemedicine apparatus. During testing, we analyze the error requests that arrive at each server for the HTTP GET and POST methods. We also evaluate the speed of data encryption and decryption. The results showed that server load balancing reduces the number of error requests for the GET method by 97%. Meanwhile, the number of error requests for the POST method decreases by 66.75%. Observations reveal that the average homomorphic encryption speed, computation time, and decryption time are 15.66 ms, 764.18 µs, and 362.49 µs, respectively.