Reviewerly/exHarmony huggingface dataset:
세계 음악의 인식조사와 교과서 내용분석을 통한 다문화 교육의 성찰: 초등학생과 예비교사를 중심으로

The purpose of this study is to investigate the perception of world music as multicultural music education for 5th and 6th grade elementary school students and pre-service elementary teachers, analyze the learning contents of world music in the 5th and 6th grade music textbooks, and find out if multicultural music education is being carried out effectively and desirable direction in the future. The results of this study were as follows. First, 5th and 6th grade elementary school students and pre-service elementary teachers recognized that singing a fork songs from different country was effective in understanding the culture of various countries. However, 30 percent of elementary school students who participated in the study negatively perceived on understanding other countries through music. Second, elementary school music textbooks mainly introduced folk songs to learn world music. The countries introduced in the textbooks are varied, but the number of songs, which represent of the countries, were very little. Third, the major learning activities of each music textbooks were singing in the original language, however, activities were organized to understand the music and culture of other countries by singing along with body expression, traditional play, and instrumental accompaniment. The contents were organized to familiarize by singing with unfamiliar culture and to understand the music and characteristics of other cultures through appreciation, so that students effectively learn other countries's music and culture through various music activities through appropriate steps. Fourth, as the results of the survey on the perception of elementary school students and pre-service elementary school teachers indicated that the activities of singing songs from other countries, especially folk songs reflecting the country's emotions, have been found to be helpful in understanding the culture of other countries. In other words, although elementary music textbooks mainly introduce folk songs, such learning contents are beneficial to multicultural music education, so collection and research on folk songs of various countries should be conducted. Fifth, various countries are introduced in music textbooks, however, the activities to understand the music of different countries were mostly similar, such as 'singing in native language', 'singing with body expressions.’ To carry out better multicultural music education, the development of teaching and learning materials and programs are needed through the collaboration of ethnomusicologists and music educators.
STUDY OF STUDENTS' INTERESTS IN LEARNING CHINESE LISTENING AND SPEAKING IN BUNDA MULIA UNIVERSITY

China’s economic development has made tremendous achievements. More and more countries have established cooperative relations with China. In this way, Chinese has become popular and valued for all countries. There are more and more people learning Chinese, including Indonesia. The first thing to learn a language is to listen and speak. For Indonesian students, Chinese is difficult because of the huge differences between mother tongue and Chinese. It will be difficult in listening and speaking for students who have a weak basic. This will make students lose their interest in learning chinese. However, learning interest is one of the indispensable parts of the learning process. Therefore, the author regards this as a research topic. This research uses the questionnaire survey method to investigate the students of Grades 2-4 of the Chinese Department of Bunda Mulia University. The result indicates that students have normal level at listening and speaking lessons. Personal influence, college environments, study materials, and teacher's skill are major influence for students.
Development Of Anomaly Detection Using Vision System

As crime rate greatly increases over the years along with technological advances on vision systems, surveillance systems are being installed in almost every possible location such as banks, offices, and residential areas. With continuous recording of videos, humans are facing difficulty to monitor them manually for the detection of anomalous activity. In attention to this problem, the proposed work designs a semi-supervised anomaly detection technique in stationary backgrounds to reduce the need of human intervention in detecting anomalies. Segmentation, detection of objects and noise removal in foreground are the main phases of the proposed work. Identification of important target features such as centroid and the bounding box assists in object detection and localization of objects in frames. The performance evaluation of the simulation results based on localization error and rate of accuracy validated that the proposed work could deal with various anomaly activity in a static background scene and successfully detect anomaly without much human intervention.
Towards a Self-aware Intelligent Agent through Automated Output Interpretation and Improvisation

The aim of this thesis is enhance the behaviour of an intelligent agent analysing and suggesting improvements in its self-evaluation of exploration, interpretation and improvisation of general knowledge stored in a knowledge graph. We propose an evaluation of these aspects through metrics that highlight five key components: adherence, cohesion, diversity, serendipity and magnitude. Our work is built on two basic units, namely a triple and a document: in the first step, we extract data from Wikidata, an open structured knowledge graph, pre-processing each page as a document. Each one is composed by statements that we shape in simplified triples that we store and adapt into a graph knowledge base. By drawing strength from both graph theory and modern deep learning technics, utilizing graph and subgraph embeddings, our agent evaluates the input document using adherence, cohesion, diversity, serendipity and magnitude taking into account existing information in the graph. Subsequently, we let the agent applies computational creative combinatory to produce a novel document, keeping on evaluation. Several aspects have to bearing in mind: incompleteness of a Knowledge Graph, context recognition, proper merge between graph and deep learning strategy, time dimension, bias, large amount of data. Multivariate regression and Pareto optimum will be used to analyse correlation between key components of our metrics, in order to establish parameters to drive the agent behaviour. At the same time we will compute the time derivative of this index and find if is perceived as improvisation. Given a score to improvisation is tricky because there is not a stable and shared definition of it and depends on who perceives it. The final work will be evaluated comparing state of the art metrics and user surveys on heterogeneous groups of people. This phase of study is an opportunity to investigate early introspective steps of future conversational agents, which should attempt to become self-awareness, in order to further develop capacity to understand information they store, with the goal to interact with users or other agents in a non-trivial way.
Design of Human-Computer Interaction Teaching System Based on Virtual Reality Technology

Traditional experimental teaching has the problems of limited teaching resources, ABSTRACT. and difficult to understand teaching content, and high risk of teaching experiments. This article aims to provide virtual and realistic experimental scenes through the design of the experimental teaching system of virtual reality technology. The experimental teaching system designed in this paper includes graphic teaching, virtual scene construction, simulation experiment, teaching skill evaluation four functional modules. Use Photoshop, 3Ds Max, Maya, Unity 3D, etc. to complete the system development. In order to verify the actual use of the system, we conducted a survey on some students of mechanical design majors in colleges and universities, and concluded that the students were quite satisfied with the system's interface evaluation, functional design, interactive operation, and software operation. 72% of students believe that the system is stable and stable after the long-term operation, and the operation is relatively normal, with good performance and compatibility; 80% of the students think they can clearly understand every step of the experiment. The research of this paper has great application value for professional teaching with strong practicality.
Kompleksnaia sistema upravleniia intellektual'noi sobstvennost'iu v vuze: perspektivy sozdaniia i effektivnost' funktsionirovaniia

The article is devoted to the algorithm of creating university management system of intellectual property using educational practices and forming appropriate competencies in students as well as motivating teachers to form and defend their intellectual property. University infrastructure of commercialization of innovations, based on achieved results of intellectual activity is also analyzed.
Peningkatan Motivasi dan Hasil Belajar Matematika melalui Metode Team Assisted Individualization pada Siswa Kelas V

Penelitian ini bertujuan untuk meningkatkan motivasi dan hasil belajar ranah kognitif pada mata pelajaran matematika materi kecepatan dan debit pada siswa kelas V A SD Negeri Masaran 1 tahun pelajaran 2018/2019, mengetahui dampak metode TAI terhadap aktivitas belajar siswa, dan pendapat siswa terkait dengan metode TAI. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang terdiri dari dua siklus. Subjek penelitian adalah seluruh siswa kelas V A SD Negeri Masaran 1 tahun pelajaran 2018/2019 sebanyak 23 siswa. Teknik analisis statistik deskriptif digunakan untuk menganalisis data kuantitatif dari hasil angket, tes, dan observasi. Teknik analisis model Miles dan Huberman digunakan untuk menganalisis data kualitatif dari hasil wawancara. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan metode TAI dapat meningkatkan motivasi dan hasil belajar pada materi kecepatan dan debit. Metode TAI juga terbukti dapat meningkatkan aktivitas belajar siswa. Hasil wawancara menunjukkan pandangan siswa yang positif terhadap penerapan metode TAI. This study aims to improve the motivation and learning outcomes in the cognitive domain in mathematics subject about speed and liquid flow rate in class V A of SD Negeri Masaran 1 in the 2018/2019 academic year, knowing the impact of the TAI method on students learning activities, and students opinions about TAI method. This research is a Classroom Action Research (CAR) which consists of two cycles. The research subjects were all students in class V A that consist of 23 students. Descriptive statistical analysis techniques are used to analyze quantitative data from the results of questionnaires, tests, and observations. The analysis technique of the Miles and Huberman model was used to analyze qualitative data from the interviews. Based on the results of the study it can be concluded that the application of the TAI method can increase motivation and learning outcomes. The TAI method has also been proven to increase students learning activities. The interview results showed positive students' views on the application of the TAI method. Â
PODCAST AUDIO-ASSISTED LISTENING IN A SENIOR HIGH SCHOOL ENGLISH CLASS : A Case Study in a Private Senior High School English Class

This research paper explores students’ responses toward podcast audio-assisted listening skill in a senior high school which consisted 18 students. Qualitative method with case study design is used for this research. Podcast audio heard by students are accommodated in the curriculum used in the school. As a result, podcast audio helps students in learning listening skill based on three categories: students’ cognitive, affective, and psychomotor. Most of the students know that it is an application that is available in their smartphone that they use in the daily life, so they can access it anytime and anywhere. Podcast involves interesting contents that make the students interested in hearing them, i.e. Chance to live, Natural World, and News Report. The finding in this research includes increasing students’ concentration in learning the materials, and better motivation of the students to study listening subject.
THE EFFECT OF GUESSING GAME ON STUDENTS' SPEAKING SKILL

This research has an objective to know the effect of Guessing game on students’ speaking skill at SMA Negeri 1 Lingga Utara. Quantitative method was used in this research. Quasi-experimental research was a design that used in this research which involves 20 students in X IPS.2 (experimental class) while 20 students in X IPS.1 (control class). Before teaching learning process implemented, the researcher gave pretest. After the teaching and learning process had been finished, the researcher gave posttest to get the students’ speaking skill achievement. The scores of both pretest and posttest were analyzed by statistics descriptive test. Then, the data were tested using normality test, homogeneity test, and hypothesis test. From this research, it can be seen that 90.75 for the mean score of experimental class (Post-test) and (Pre-test) was 80.75 while 86.50 as the mean score of posttest (Control class) and 79.75 as pre-test. Based on the data, we knew the result of t-test and had differences between both of class, because the mean score of experimental class had higher score than control class. Therefore, in this research, the researcher found that Guessing game had a significant effect on students’ speaking skill at SMA Negeri 1 Lingga Utara.
Da Maquinaria Sonhante... / From Dreamy Machinery...

RESUMO No final da segunda semana de quarentena, sonhei que eu estava lavando louca, no escuro, com minha enteada. Eu lavava e ela secava. A cozinha estava totalmente escura e havia dois fachos de luz, apenas... PALAVRAS-CHAVE Covid; Sonho; Trabalho. ABSTRACT At the end of the second week of quarantine, I dreamed that I was washing dishes in the dark with my stepdaughter. I washed and she dried. The kitchen was completely dark and there were just two beams of light… KEYWORDS Covid; Dream; Job. AUTORIA Luciene Jung de Campos – Doutora. Professora e Pesquisadora no Programa de Pos-Graduacao em Turismo e Hospitalidade, Universidade de Caxias do Sul, Caxias do Sul, RS, Brasil. Curriculo: http://lattes.cnpq.br/1151177602559882 E-mail: ljcampos@ucs.br PROCESSO EDITORIAL ESPECIAL COVID-19 Recebido: 22 JUN 20; Aceito: 22 JUN 20.
Information count and distribution matrix: A contemporary approach for content‐based brain image indexing

This literature has proposed three fast and easy computable image features to improve computer vision by offering more human-like vision power. These features are not based on image pixels absolute or relative intensity; neither based on shape or colour. So, no complex pixel by pixel calculation is required. For human eyes, pixel by pixel calculation is like seeing an image with maximum zoom which is done only when a higher level of details is required. Normally, first we look at an image to get an overall idea about it to know whether it deserves further investigation or not. This capacity of getting an idea at a glance is analysed and three basic features are proposed to empower computer vision. Potential of proposed features is tested and established through different medical dataset. Achieved accuracy in classification demonstrates possibilities and potential of the use of the proposed features in image processing.
Blind Witnesses Quench Quantum Interference without Transfer of Which-Path Information

Quantum computation is often limited by environmentally-induced decoherence. We examine the loss of coherence for a two-branch quantum interference device in the presence of multiple witnesses, representing an idealized environment. Interference oscillations are visible in the output as the magnetic flux through the branches is varied. Quantum double-dot witnesses are field-coupled and symmetrically attached to each branch. The global system-device and witnesses-undergoes unitary time evolution with no increase in entropy. Witness states entangle with the device state, but for these blind witnesses, which-path information is not able to be transferred to the quantum state of witnesses-they cannot "see" or make a record of which branch is traversed. The system which-path information leaves no imprint on the environment. Yet, the presence of a multiplicity of witnesses rapidly quenches quantum interference.
ISO 30401:2018: Uma Análise Crítica do Requisito 4.4 – Sistema de Gestão do Conhecimento

Paper aims to make a critical analysis of requirement 4.4 of ISO 30401: 2018, entitled “Knowledge Management System”: the item that establishes guidelines on how knowledge management should be applied in organizations.
LibGuides: Library Research Skills: Finding Print Books: Check-out Procedures

This LibGuide has the same content as the Finding Print Books module your professor may have in Canvas.
Worcester News - New data centre at Worcester Six set for green light

A plan to build a new state-of-the-art data centre at Worcester Six Business Park looks set to be approved when councillors meet next week.
Unsupervised Domain Adaptation for Remote Sensing Images Using Metric Learning and Correlation Alignment

We address the problem of domain adaptation (DA) in the context of remote sensing (RS) image classification in this paper. By definition, the problem of unsupervised DA aims at classifying samples from a target domain which is strictly devoid of any label information while assuming that enough training data are available from a related yet non-identical (in terms of data distributions) source domain. A number of existing approaches in this regard are focused towards matching the underlying distributions of the data from both the domains in a shared latent space without explicitly considering: i) the discriminativeness of the embedding space, ii) the usefulness of a manifold distance is pulling the domains towards each other over the standard Euclidean measures. However, we argue the importance of both the aspects in learning the latent space, particularly for fine-grained classes. Our model jointly optimizes both the terms in an end-to-end fashion and the learned latent space is found to properly align the classes with high precision. Experimental results obtained on a hyper-spectral and a multi-spectral dataset confirm the superior performance of the approach over a number of techniques from the literature.
Design and Development of Automatic Generic Cabling System Based on .NET

Abstract With the development of intelligent building, its infrastructure generic cabling technology was still in the manual stage. In this paper, we analyze the connection between generic cabling technology and CAD. Based on the framework of.NET, we carry on the secondary development of AutoCAD using visual programming language C# to develop the automatic generic cabling system. The system can meet standards of generic cabling project, and realize automatically system diagram design. The system can also generate automatically construction plan design, and complete material statistics, and project budget. It can not only ensure the generic cabling project strictly according to the standard construction, improve project quality and level, reduce the workload of the designer, but also greatly promote the development and application of generic cabling technology in intelligent building.
LibGuides: Library Support for Faculty: Finding Videos

Information about University Libraries resources for instructional use in the classroom, online courses, and Blackboard
LibGuides: Science Fair Project: Home

Fourth grade students will use this guide to explore resources for their Science Fair Projects.
Veldkamp Spaces of Low-Dimensional Ternary Segre Varieties

Making use of the ‘Veldkamp blow-up’ recipe, introduced by Saniga et al. (Ann Inst H Poincaré D 2:309–333, 2015) for binary Segre varieties, we study geometric hyperplanes and Veldkamp lines of Segre varieties $$S_k(3)$$ , where $$S_k(3)$$ stands for the k-fold direct product of projective lines of size four and k runs from 2 to 4. Unlike the binary case, the Veldkamp spaces here feature also non-projective elements. Although for $$k=2$$ such elements are found only among Veldkamp lines, for $$k \ge 3$$ they are also present among Veldkamp points of the associated Segre variety. Even if we consider only projective geometric hyperplanes, we find four different types of non-projective Veldkamp lines of $$S_3(3)$$ , having 2268 members in total, and five more types if non-projective ovoids are also taken into account. Sole geometric and combinatorial arguments lead to as many as 62 types of projective Veldkamp lines of $$S_3(3)$$ , whose blowing-ups yield 43 distinct types of projective geometric hyperplanes of $$S_4(3)$$ . As the latter number falls short of 48, the number of different large orbits of $$2 \times 2 \times 2 \times 2$$ arrays over the three-element field found by Bremner and Stavrou (Lin Multilin Algebra 61:986–997, 2013), there are five (explicitly indicated) hyperplane types such that each is the fusion of two different large orbits. Furthermore, we single out those 22 types of geometric hyperplanes of $$S_4(3)$$ , featuring 7,176,640 members in total, that are in a one-to-one correspondence with the points lying on the unique hyperbolic quadric $$\mathcal {Q}_0^{+}(15,3) \subset \mathrm{PG}(15,3) \subset \mathcal {V}(S_4(3))$$ ; and, out of them, seven types that correspond bijectively to the set of 91,840 generators of the symplectic polar space $$\mathcal {W}(7,3) \subset \mathcal {V}(S_3(3))$$ . For $$k=3$$ we also briefly discuss embedding of the binary Veldkamp space into the ternary one. Interestingly, only 15 (out of 41) types of lines of $$\mathcal {V}(S_3(2))$$ are embeddable and one of them, surprisingly, into a non-projective line of $$\mathcal {V}(S_3(3))$$ only.
STUDENTS’ READING HABIT AND THEIR READING COMPREHENSION: A CORRELATION STUDY

Reading is one of the four basic skills (Reading, Listening, Writing, and Speaking). The research is to find out whether there is a significantpositive correlation between students reading habit in English and their reading comprehension. This research is quantitative. The population of this research was the students of the tenth grade of SMKN5 Tanjungpinang, in academic year 2019/2020. The sample of this research was X Teknik from 29 students. The researcher did not give treatment, but collecting the data by seeing the correlation between cause and effect. The instruments were questionnaire and reading test. The researcher analyzed the correlation using Liliefour Formula to determine the correlation between reading habit (variable X) and reading comprehension ability (variable Y).The result of analysis shows that there is a positive significantcorrelation between students reading habit and their reading comprehension. The analysis by using Lilliefour Correlation, From the result of the statistical calculation, it can be synthesized that the alternative hypothesis (Ha) is accepted. The calculation shows that the coefficient of correlation (rxy) between both variables is 0.57237 which is higher than rtable (0.572 >0.367). The result of T test is that the T obtained is 3.63 which is higher than Ttable 1.703. It means that the correlation is significant. The contribution of reading habit toward reading comprehension of the tenth grade students of SMKN 5 Tanjungpinang in the academic year 2019/2020 is 32.76% while the 67.24% factors are influenced by other factors
LibGuides: Increasing Virtual Presence in Physical Spaces: Quick Transformation Tips

This guide discusses potential improvements to be made to public library spaces to incorporate and cultivate productive virtual experiences.