Reviewerly/exHarmony huggingface dataset:
Research on the Educational Practice of the Folk Music Ensemble Course under the "Sound and Fusion"

College music majors pay great attention to artistic practice. Folk music ensemble classes can improve students' basic ability to play and rehearse national musical instruments, and occupy a very important position in artistic practice. However, the status quo of most folk music ensemble courses of most college music majors is not very optimistic, not only the teaching level is low, but also the variety of musical instruments is not abundant. In order to enhance students' overall artistic expression, this article explains how to integrate various musical instruments into student-centered folk music ensemble classes from the aspects of pitch, rhythm and timbre.
Breast Cancer Detection Using Hybrid Model Of Quantum Coupled Neural Network

The detection of breast cancer faced a problem of feature selection and optimization. The process of feature selection and optimization improves the accuracy of detection and classification. The modelling of the neural network is an excellent contribution to the diagnosing of medical diseases. The process of modelling designs the model of the hybrid classifier using a quantum neural network and pulse coupled neural network. The hybrid neural network is efficient for the detection of breast cancer. The processing of quantum improves the selection of features and mapping of feature space of data. In this paper proposed a model for cancer detection: the proposed model based on the fashion of feature optimization. The process of feature extraction applied discrete wavelet transform, wavelet transform is a rich dominated function of texture feature extraction. The texture feature is the most common features of breast cancer image captured by the mammogram. The proposed algorithm of breast cancer detection tested on reputed public dataset MIAS. For the validate of proposed algorithm measured standard empirical parameters. The proposed algorithm compares with existing methods such as SVM and ensemble of KNN.
autobase@collegemenfess, A Twitter Account Used as Information Retrieval Tool

The development of technology and information has led to the emergence of many media that can be used as information sources, including social media. Twitter has started an automatic base (autobase) system with has automenfess feature. This study aims to see the level of users' ability and the use of autobase as an information retrieval system. Respondents were users or followers of the @collegemenfess Twitter account. This study used a quantitative approach with descriptive analysis. The data were obtained through an online survey of 70 followers of the @collegemenfess account. The study found that users' ability level was in the intermediate user category and the use of information retrieval system on this autobase was to send messages with a certain format which then that message will be a confession mention.
When the Blockchain Does Not Block: On Hackings and Uncertainty in the Cryptocurrency Market

A total of 1.1 million bitcoin were stolen in the 2013–2017 period. Noting that the average price for Bitcoin in 2018 was USD 7,572 the corresponding monetary equivalent of losses is USD 8.9 billion which strongly shows the societal impact of this criminal activity. Investigating the response of the uncertainty of Bitcoin when hacking incidents occur, the results of this study point toward a delayed response in volatility. The volatility increases significantly only at day t+5. Incidents of hacking that occur in the Bitcoin market affect uncertainty for another cryptocurrency Ethereum too. Again, the evidence suggests a delayed response. However, Bitcoin and Ethereum do not exhibit asymmetric responses to negative innovations.
The Use of Letterland Strategies in Teaching English Vocabulary to Young Learners

The purpose of this research was to help teachers to enrich their knowledge about Letterland strategies in teaching English vocabulary to young learners. The objective of this research was to investigate the types of problem faced by teachers while using Letterland strategies. This research applied descriptive qualitative design and the data gathered from the sentences of four teachers in Nursery class at a Singapore Pre-School, Medan. The techniques of collecting data were observation and interview. Then, the techniques in analyzing the data were condensation, data display, and conclusion drawing/verification. Based on the data analysis, it was found that there were two types of problem faced by all the teachers; an internal disturbance (54.55%),  and an external disturbance (45.45%). It was concluded that Letterland strategies were good for young learners in learning English vocabulary because it provided some fun activities that contained of multi-sensory based learning which they were able to see, hear, do, and touch it.          Keyword s: English Vocabulary; Letterland Strategies; Young Learners
An efficient algorithm to improve the accuracy and reduce the computations of LS-SVM

We present a novel algorithm, which is called Cutting Algorithm (CA), for improving the accuracy and reducing the computations of the Least Squares Support Vector Machines (LS-SVMs). The method is based on dividing the original problem to some subproblems. Since a master problem is converted to some small problems, so this algorithm has fewer computations. Although, in some cases that the typical LS-SVM cannot classify the dataset linearly, applying the CA the datasets can be classified. In fact, the CA improves the accuracy and reduces the computations. The reported and comparative results on some known datasets and synthetics data demonstrate the efficiency and the performance of CA.
Методы соционики в эффективном менеджменте (фрагменты книги)

The theory and practical methods of application of modern socionics and its technologies for personnel selection, creation or reorganization of working teams and collectives are described. Special attention is paid to the issues of practical diagnostics and determination of socionic types. The authors - heads of the International Institute of Socionics - build their presentation on the basis of their many years of experience in conducting consulting work and trainings in the teams of 150 companies, firms, banks, sanatoriums, government institutions in a number of countries, including 50 main and related enterprises and organizations of RAO Gazprom in the Far North. With numerous examples, the principles of creating effective leadership teams are outlined. Such teams have a high efficiency, they achieve natural psychological, business and information compatibility and stability in a crisis. The issues of correspondence between the direction of the team and the actual problem being solved are considered. The systems of functional roles in the team, which play an important role in its work, are described. The system of psychological attitudes of the personality according to Burne-Bukalov, which play an important role for each company in the interaction of employees with clients and among themselves, is stated. The book is intended for anyone who practically works with people, practical psychologists, organizational consultants, business owners, executives and managers of all levels.
Community-Based Chinese Verbal Communication and Ethnic Malay in Jambi City

This research departs from the curiosity of researchers related to the interaction process in intercultural communication, which is mostly influenced by differences in culture. Realizing excellent or effective communication with different cultural backgrounds, not as difficult as imagined and not as easy as many people think. When communicating and interacting in different cultures, many things must be considered and allow for misunderstandings. This study focused on verbal communication by using the theory of symbolic interaction to sharpen the analysis of verbal communication of ethnic Chinese and Malay ethnicity in controlling conflict in Jambi City. Data collection techniques included participant observer/observation, observation without participation, in-depth interviews, and documentation. The results of the study found a model of verbal communication that occurred between Chinese and Malay ethnic groups, namely the transactional model consisting of several components, namely language and how to speak. To realize effective communication, language, and ways of speaking have an essential role in capturing and conveying messages and symbols in verbal communication carried out.
CIVIC CONSCIOUSNESS OF STUDENTS IN HIGHER EDUCATION AS A WORLDVIEW PHENOMENON: CONTENT AND STRUCTURE

The role and importance of civic consciousness as a worldview phenomenon of young people who are studying at universities is increasing under the conditions of an openness and availability of information about any sphere of state and individual life in the era of development of civil society.The attitude towards the formation of a citizen should be based on the ideas of patriotism, statehood, morality, and legality which, unfortunately, are being "blurred" and lose their relevance during periods of falling morals, permissiveness, and commercialism.It is no accident that the amendments to the Constitution of the Russian Federation introduce a ban on foreign citizenship or a foreign residence for the representatives of authorities.Civic consciousness is the framework, the foundation on which the worldview maturity of a young personality should be built.Therefore, the purpose of the paper is to identify the content and structure of the concept of civic consciousness on the basis of the worldview approach as the dominant one, allowing us to present this concept as a personal worldview phenomenon formed among students in the educational environment of the University.This statement is actualized in the paper.We take the position that it is impossible to form such a complex worldview phenomenon during education at the University, without understanding its content and structure, the main components, determining the ways of implementing such work in specific forms, means, and methods.We consider that the concept of "civic consciousness" should be regarded as a personal worldview phenomenon, combining cognitive, axiological, motivational, and activity components.Such an approach is not sufficiently analyzed at home literature.Analysis of the concept of "civic consciousness" is not fruitful in terms of properties and quality of a personality..
PEMBERDAYAAN MASYARAKAT MELALUI PELATIHAN SABLON PAKAIAN UNTUK MENINGKATKAN KETERAMPILAN BERWIRAUSAHA

At present, clothing is experiencing rapid development, especially clothing models. The advantage of doing business is that if the goods do not sell, the goods are not damaged and can be resold. One way to beautify the appearance of clothes is by printing clothes. In this activity using a screen printing technique is a screen printing technique by putting pressure on the ink above the screen in order to push the ink to penetrate the screen and stick and absorb it in the fabric. In this activity the young men have succeeded in making a number of clothing designs on t-shirt cloth objects. The The clothes that have been screened are ready to be used or marketed. Keywords: design, screen printing, business, clothes
KONDISI OPTIMUM ADSORPSI Pb(II) MENGGUNAKAN NANOMATERIAL PASIR BESI PANTAI KENDAL TERLAPIS SILIKA-TRIAMIN

The Lead (Pb) was heavy metal that toxic and dangerous for environment. In this research the application of hybrids nanomaterial of silica modified with the coated triamin group on Kendal Coastal Magnetic Sand Materials (PB@SiO2@TA) to adsorb heavy metals Pb(II) at laboratory scale has been investigated at pH variations, variations concentrations of Pb(II) solutions as adsorbate and variations of adsorption time. The aim of this research was to determined the ability adsorption from PB@SiO2 @TA to heavy metal ions of Pb(II) and also determined of optimum adsorption conditions. The result showed that hybrids nanomaterial of silica modified with the coated triamin group on Kendal Coastal Magnetic Sand Materials could adsorb metal ions of Pb(II)with high capability. Adsorption of Pb(II) by PB@SiO2 @TA showed the highest concentration of Pb(II) already adsorbed at pH 4. The Optimum adsorption time at 150 minutes with concentrations of Pb(II ) was adsorbed at most is 259,302 ppm, and the effective adsorption time at 60 minutes with a Pb(II) concentration was adsorbed of 258,922 ppm with a difference of concentration that did not too significant. The highest adsorbed Pb(II) concentration was at an initial Pb(II) concentration of 500 ppm which was as many as 462.156 ppm (92.43% of the Pb metal ion was adsorbed). The increased of concentration of Pb (II) in the initial solution, it was increased the concentration of Pb(II) adsorbed by PB@SiO2 @TA. Keywords: adsorption, nanomaterial, propyldiethylenetriamine group, Pb (II), Iron sand
Formación en línea sobre Bibliotecología Social en tiempos de pandemia

A brief reflection on the university link between Social Library training within the University of Buenos Aires with current society in times of pandemic and its necessary consolidation, reformulation and reflection of the necessary curricular spaces linking, information and knowledge is proposed. with the necessary social practices in times of emergency.
Ancient Ethiopic manuscripts character recognition using Deep Belief Networks

Very large proportion of Ethiopian literature is found in ancient ge’ez manuscripts in the form of old scriptures with papers from animal hides and skins (Branas) on which the ancient Ethiopic knowledge and civilization is recorded. This knowledge can be extracted and made usable by applying optical character recognition (OCR) systems on document images. Little efforts have been done for OCR of Ethiopic ancient manuscripts. Handwritten OCR process is considered as one of the most challenging problems in the area of image processing . The unique morphology of ge’ez hand-writing system (known as “Kum Tsihfet”), the degraded quality of the documents, and non-uniform background of the Branas poses additional challenges. Because of this, the OCR technique employed can’t be addressed directly by using OCR systems designed for modern printed and handwritten documents. Machine learning techniques like deep belief networks (DBNs) are becoming powerful set techniques that attempt to model complicated morphological features of handwritten texts. In this research we developed an OCR system using DBNs. The system was trained and tested using our own segmented datasets of ancient ge’ez characters containing 24 base characters only. The test result shows that a recognition accuracy of 93.75% was obtained, which is a promising result.
Thinking and Analysis on the Construction of Open Curriculum System from the Perspective of Connectivism Learning Theory---- Take the Internet of things Engineering major in Ningxia Institute of Technology as an example

This article analyzes the construction of an open curriculum system based on the perspective of Connectivism learning theory. From the perspective of online and offline connectivity, an open curriculum system model is designed to further refine the offline open curriculum system framework of the Internet of Things engineering major. At the same time, a scientific analysis will be conducted from the connection of two dimensions of time development and spatial architecture.
DEVELOPMENT OF HUMAN CAPITAL IN BULGARIAN SCHOOLS - A CONDITION FOR AN INNOVATIVE SOCIO-CULTURAL EDUCATIONAL ENVIRONMENT

The systems of primary and secondary education in Bulgaria are in transition - many teachers are retiring and younger people need to successfully succeed them so that the society may develop optimally. Without well-trained human capital, the educational system would collapse and would not fulfill its intended purpose - to create well-prepared personnel to carry out the material and non-material reproduction in the future. Well-trained pedagogues can successfully transfer their knowledge to the pupils. An essential element of good pedagogical practice is the innovation, the introduction of new training and education methods aimed at improving educational outcomes and increasing critical thinking and creativity of students.The purpose of this article is to summarize the results of a broader study on the topic of the development of human capital in Bulgarian schools for an innovative socio-cultural environment. The study examines the need for well-trained teachers to provide quality and innovative education, where this need stems from, and how to satisfy it at the present stage in the development of the Bulgarian system of primary and secondary education. The methodology includes a review of the main laws, ordinances, strategies, and other documents, related to the sphere of school education; a long-term case-study of the development of the teaching profession in Bulgaria; and a self-administered survey conducted among teachers in Blagoevgrad, Bulgaria through a closed-question questionnaire. Some of the questions had the option of allowing the respondents to provide additional information in freestyle. The questionnaire was filled by 68 respondents. The results could be summarized as follows: the shortage of qualified teachers is addressed through (1) changes that will make the teaching profession in Bulgaria once again desired by young people, incl. significant rise in starting salary; (2) by increasing the state admission in the higher education institutions in the pedagogical specialties, and (3) through changes in the direction of continuing qualification of the already operating pedagogues – with the adoption of the new Law on pre-school and school education in 2016, requirements for the continuing qualification of teachers were once again laid down at the statutory level; now school principals have dedicated funds to help them continue the training of the teachers, that are subordinate to them and teachers themselves have a statutory requirement to spend a certain number of hours in upgrading their qualification for a given evaluation period to maintain their position.
Pengelolaan Data Penelitian pada Repositori Pengetahuan di Perpustakaan Khusus Lembaga Pemerintah Non Kementerian

This study focuses on the analysis of research data management in the knowledge repository in a special library of non-ministerial government institutions consisting of LIPI, BPPT, BATAN, BAPETEN, LAPAN and BSN.The research was conducted using descriptive methods, namely by describing and interpreting a phenomenon that develops by using scientific procedures to actually answer the problem. Data collection was carried out through interviews and surveys of repository managers. The results showed that the LPNK Special Library of the Ministry of Research, Technology and Higher Education had mostly collected research data stored in the knowledge repository by means of direct input in the national scientific repository (RIN). Developing a knowledge repository in a special library is done because of the need to store data and research work in one place. The knowledge repository serves as a digital storage provider for long-term data storage and scientific work. The knowledge repository can make it easier for users to browse or reference data and the work of other researchers. The availability of knowledge repositories can also facilitate interdisciplinary learning and research. The obstacle in managing research data is that researchers have so far not paid enough attention, especially in terms of research data backup. There is a lack of trust from data owners to share their data because there is no legality, infrastructure and clear management. Libraries do not require researchers to store data in knowledge repositories and there is no government regulation that regulates inter-institutional research data management.
End-to-end Training For Financial Report Summarization

Quoted companies are requested to periodically publish financial reports in textual form. The annual financial reports typically include detailed financial and business information, thus giving relevant insights into company outlooks. However, a manual exploration of these financial reports could be very time consuming since most of the available information can be deemed as non-informative or redundant by expert readers. Hence, an increasing research interest has been devoted to automatically extracting domain-specific summaries, which include only the most relevant information. This paper describes the SumTO system architecture, which addresses the Shared Task of the Financial Narrative Summarisation (FNS) 2020 contest. The main task objective is to automatically extract the most informative, domain-specific textual content from financial, English-written documents. The aim is to create a summary of each company report covering all the business-relevant key points. To address the above-mentioned goal, we propose an end-to-end training method relying on Deep NLP techniques. The idea behind the system is to exploit the syntactic overlap between input sentences and ground-truth summaries to fine-tune pre-trained BERT embedding models, thus making such models tailored to the specific context. The achieved results confirm the effectiveness of the proposed method, especially when the goal is to select relatively long text snippets.
PERBEDAAN DAYA TAHAN JANTUNG PARU ANTARA SISWA ORANGTUANYA PEGAWAI NEGERI DENGAN PETANI/NELAYAN

Students who attend BIna Generasi Bangsa Junior High School come from different parental backgrounds, both from civil servants and farmers and even fishermen. The hypothesis is are differences in endurance of the pulmonary heart between students whose parents are civil servants and farmers / fishermen in Bina Generasi Bangsa Junior High School students. The research method is comparative research. The stratified random sampling sample consisted of 31 students whose parents were civil servants and 31 students whose parents were farmers / fishermen. The technique of collecting test data ran as far as 2.4 km. T test data processing technique. Based on the results of the study obtained the category of pulmonary endurance of students whose parents are employees with a percentage of 93.55% and the average is 11.04. Students whose parents are fishermen / farmers are in the medium category with a percentage of 100% with an average of 11.64. The results of data analysis of differences in endurance of the pulmonary heart obtained t-count of 0.55 while t-table at 95% confidence level of 1.70, it can be said t-count of 0.55 ≥ t-table 1.70 then the research hypothesis is rejected the truth. That there is no difference between heart endurance between students whose parents are civil servants and students whose parents are fishermen / farmers in SMP Bina Generasi Bangsa
LIMITATION VOCABULARY CAN BE ONE OF FACTOR THE STUDENTS DO NOT WANT TO SPEAK ENGLISH

English is an International language that is used as an instrument to communicate. As a foreign language it is quite normal if English difficult to learn, because the way to write and read or speak English language is dissimilar whereas in Indonesian language the way to read or speak and write it is the same. Same as student in one of Junior High school in Lembang, some of them do not want to speak English language especially in from of the class. The author guest one of the factor students do not want to speak English is limitation vocabulary. In this article the author try to know is it true that limitation vocabulary is one of factor student do not want to speak English ? To answer that question, the author use qualitative method through questionnaire and interview for second grade student. The result finding that many factor student do not want to speak English one of them is limitation vocabulary, the student said that is no easy to memorize a lot of vocabulary, when they memorize it the feel bored. To make the student do not feel bored the author suggest to use some games in the class to make the student more attractive. Keywords: Vocabulary, Factor, Speaking