Reviewerly/exHarmony huggingface dataset:
Transforming musical performance: the audience as performer

This paper maps my initial research as I explore re-engineering music performance as a collaborative improvisatory space involving the audience who will engage with programmed, sampled and live music musical artifacts through the use of digital controllers. It also contains a survey of the field of interactive audience participation within music performance and details the methodology behind the composition, technical infrastructure and post-performance analysis of a work entitled The Singularity, designed to act as a pilot study for this research, and draws conclusions from the performance given at the Innovation in Music Conference (2017).
Automatic textual Knowledge Extraction based on Paragraph Constitutive Relations

People can understand the paragraph according to the paragraph constitutive relations, solve coreference resolution, dependency syntax, but the machine cannot. To let the machine better understand the paragraph, the paper proposes the automatic textual knowledge extraction considering paragraph constitutive relations. At first, the paragraph constitutive relations are defined, and the detailed analysis is given, including the grammar, semantics, structures of words, sentences and paragraphs. Then, the automatic textual knowledge extraction framework is proposed, where 3 additional databases are added and the adjust strategies are given for extracting entities and relations. Next, the method which extracting the knowledge graph of a paragraph through constitutive relations is given, especially the fusion extractions combining entity with relation are proposed besides entity extraction and relation extraction; the Bi-directional Long Short-Term Memory (Bi-LSTM) + conditional random field (CRF) model on the existing CoNLL dataset as assistance to spacy is applied in entity recognition, the dependency parsing is well processed in relation extraction. Finally, we developed the small B/S application to extract the entities and relationships and visualize the corresponding knowledge graph. The test experiment has achieved good results and applies this method to ICDM competition, the achievements made in the twelfth. More experiments showed our model is available and feasible, performs well, and it is able to build the corresponding knowledge according to the short paragraph.
Improving Students’ Reading Ability of Descriptive Text by using Small Group Discussion

In this research, the researcher applied Small Group Discussion to overcome the problems that were faced by the students. This research was conducted in order to improve students’ reading ability in descriptive text through Small Group Discussion at the seventh grades of MA Al-Hisi Ringinsari Sumbermanjing Wetan 2016-2017. In conducting this research, the researcher used Classroom Action Research (CAR) as the method of research. The researcher conducted this research in two cycles. Each cycle consisted of three meetings. The researcher used Small Group Discussion to create comfortable atmosphere during teaching and learning process of reading, and more importantly to improve the students’ reading ability especially on reading descriptive text. The subject of this research was the students of seventh grade at MA Al-Hisi Ringinsari Sumbermanjing Wetan 2016-2017 on academic year especially VII IPA class. The instruments to collect the data were interview, observation checklist, and reading test. The result of the research showed that by using Small Group Discussion in teaching reading descriptive text. The researcher could improve the student’s reading ability especially descriptive text. Their responses showed that they were interested to learn reading subject because they felt easier to read using Small Group Discussion.
"Autumn" @BULIBRARIES stickers

These stickers were created to encourage students to utilize the resources available to them through BU Libraries.
Research to inform teaching and learning

Foreign Language AnnalsVolume 53, Issue 1 p. 5-6 PRESIDENT'S MESSAGE Research to inform teaching and learning Bridget E. Yaden, Bridget E. Yaden ACTFL 2020 PresidentSearch for more papers by this author Bridget E. Yaden, Bridget E. Yaden ACTFL 2020 PresidentSearch for more papers by this author First published: 03 March 2020 https://doi.org/10.1111/flan.12444Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume53, Issue1Spring 2020Pages 5-6 RelatedInformation
LANGUAGE LEARNING MODEL FOR 4.0. INDUSTRIAL REVOLUTION: Combining Inquiry Model and Contextual Teaching Learning Based on Local Wisdom Value

Foreign language teaching in Indonesia has not been giving enough contribution to the mastery of foreign language skill for Indonesian students.  Many of the strategies and models have been practiced and developed since last two decades for all level of students but the result of the strategies were not effective yet.  The big question to be answered is “why” and “what” might cause the problem of language teaching failure.  Based on several researches and theoretical frame work of language teaching there might be a forgotten factor which is very interesting to be included into the models and strategies; it is local wisdom value which consists of local culture, local language and local genius.  This article discusses about how and what to combine between the two models of language teaching models by integrating Minangkabau culture perspective.  The combination and the development of this strategy will give significant contribution to the mastery of foreign language especially in West Sumatera and Malay speakers in several separated areas.
أثر إدراك العامليـن في القطاع الصحـي الحكومي لأهمية تطبيق مبادئ إدارة الجودة الشاملة على بلوغ الأهداف: دراسة ميدانية بوادي الدواسر بالمملكة العربية السعودية

The Impact of the Awareness of Employees in the Public Health Sector in WadialdawasirFor the importance of the application of Total Quality Management principles for achieving goals(A field study)The present study aims at diagnosing the extent of awareness among workers in the public health sector in Wadialdawasir for the importance of applying the principles of Total Quality Management in order to achieve the targeted goals. The study also aims to evaluate the changes carried out by the hospital administration to ensure Total Quality Management in their work. It is also to show the extent of the existence of a relationship between certain personality characteristics and the applications of the principles of total quality management.To achieve the objectives of the study, a questionnaire was designed to be distributed to a sample, relevant to the research community. The questionnaire will be a subject to validity and reliability by a group of experts in administrative and statistical sciences. The program; Statistical Packages for Social Sciences (SPSS) will be used for the statistical analysis.The researcher will cope with the modern scientific administrative literature in the field of study through digital and paper libraries, online sites, and the previous studies related to the field. The study is likely to come up with many important findings that will be useful in the advancement of performance through scientific application of the principles of total quality. The researcher will look forward for recommendations that will enhance the capabilities of workers in the health sector in Wadialdawasir, and to contribute to improving the efficiency of their performance in order to achieve the objectives of the organization and the community.
RECENT TECHNICAL OF ADDED SAMPLE ADAPTIVE OFFSET FOR HEVC

Video compression uses encoding to convert video files into smaller files for efficient storage and transmission in image processing. A decoder reconstructs the received data into a representation of the original video. This research presents recently added in-loop as a filtering technique for extension of sample adaptive offset (SAO) in High-Efficiency Video Coding (HEVC).The principle of SAO is to lessen pixel errors caused by the compression process. Through this an average data reduction up to 1.43% in Low delay configuration and 1.03% in Random access configuration
MONGO DB FOR DATA AS A SERVICE

Relational databases are used store financial records, keep track of inventory and to keep records on employees. In a relational database, information is stored in tables. The expensive of setting up and maintaining the database system Advances in the complexity of information databases have limits on field lengths and type. Mongo DB is a cross-platform document-oriented database program, Classified as a NoSQL database program and Mongo DB uses JSON-like documents with schema. It is non relational database technologies which arose under the NoSQL banner for use in big data applications and other processing jobs involving data that doesn't fit well in a rigid relational model Document databases store semi-structured data and descriptions of that data in document format. They allow developers to create and update programs without needing to reference master schema. Document databases are used for content management and mobile application data handling. Mongo DB has developed a tried and tested approach to constructing an Operational Data Layer. This process for constructing an Operational Data Layer has been successfully implemented with many customers. A successfully implemented ODL is a springboard for agile implementation of new business requirements.
Evaluation on Expressiveness of Impressionist Piano Performance Teaching under the Application of Information Technology

In order to improve the performance performance of piano works, this paper proposes an evaluation method for the performance performance of impressionist piano works under the application of information technology. Through the impression of current played piano works performance evaluation and investigate the impressionistic characteristics of piano works, according to the results of the investigation, evaluation content and structure optimization, targeted to impressionist works play piano teaching performance evaluation method is put forward optimization strategy, implementation of impressionist works of piano playing teaching performance evaluation. Finally, the empirical investigation proves that the expressive force evaluation method of impressionist piano performance teaching based on the application of information technology is more effective and acceptable, which fully meets the actual needs.
The Comparison between the Politeness Strategy in the Command Directive Speech Acts and Request in the Email Japanese Business

The aimed of this study is to describe the functions and politeness strategies of command directive and requesting speech acts in Japanese business emails. In line with the objectives of the study, the method used was descriptive qualitative. The data source in this study is Japanese business email in the field of education. Then, the data were collected by referring to the note taking technique, the replace technique, and the determining element. The data analysis technique uses descriptive qualitative methods. The results showed that speakers use more politeness strategies to express the intention of command than request. In addition, it also found differences from the directive speech act for requesting and the directive speech act for commanding i.e. on the choice of the interlocutor to do or not do the speaker's wishes. In directive speech acts for request, the interlocutor to have more choices not to do what the speaker wants. Whereas the directive speech acts for command, the opponents feel burdened and have little choice not to do what the speaker wants
Effects of Director’s Servant Leadership and Teacher’s Working Environment on Self-Development Needs among Childcare Teachers

The purpose of this study is to examine the relationship between director's servant leadership, working environment and self-development desire perceived by childcare teachers, and to examine the effect of director's servant leadership and working environment on teacher's self-development desire. The subjects of this study were 300 childcare teachers working at daycare centers located in Gyeonggi-do (Suwon and Pyeongtaek), South Korea. Frequency analysis, correlation analysis, and regression analysis were conducted. The results of the study are as follows. First, the correlation between the director's servant leadership and the desire for self-development perceived by the childcare teacher's showed a statistically significant correlation. Second, the correlation between the working environment perceived by the childcare teachers and the desire for self-development showed a statistically significant correlation. Third, as a result of regression analysis on the effect of principal's servant leadership and working environment perceived by childcare teachers on self-development desire, the working environment of childcare teachers had a significant effect on self-development desire. On the other hand, the servant leadership of the director did not have a significant effect on the self-development desire of the childcare teacher. This study confirms that the working environment that teachers are satisfied with, has a significant effect on the desire for self-development, and suggests that psychological support such as servant leadership of the director is important. However, realistic and realistic support that improves the working environment of the teacher to the appropriate level, stimulates the teachers' desire for self-development more effectively. Based on these implications, it is necessary to change the perception of the director's operation of the daycare center, financial support of the state, and realistic childcare fee.
Simulation of Loop Quantum Gravity -- A Scalable Linear-Optical Approach

The problem of simulating complex quantum processes on classical computers gave rise to the field of quantum simulations. Quantum simulators solve problems, such as Boson sampling, where classical counterparts fail. In another field of physics, the unification of general relativity and quantum theory is one of the greatest challenges of our time. One leading approach is Loop Quantum Gravity (LQG). Here, we connect these two fields and design a linear-optical simulator such that the evolution of the optical quantum gates simulates the spinfoam amplitudes of LQG. It has been shown that computing transition amplitudes in simple quantum field theories falls into the class BQP -- which strongly suggests that computing transition amplitudes of LQG are classically intractable. Therefore, these amplitudes are efficiently computable with universal quantum computers which are, alas, possibly decades away. We propose here an alternative special-purpose linear-optical quantum computer, which can be implemented using current technologies. This machine is capable of efficiently computing these quantities. This work opens a new way to relate quantum gravity to quantum information and will expand our understanding of the theory.
Design of a phase-shifting algorithm for interferometric measurement of optical thickness variation

The optical thickness is an important property of transparent plates when fabricating critical components. Spatially nonuniform errors, which are major factors in the measurement of the absolute optical thickness, can be brought about by phase errors related to the nonlinear error term. In this study, equations and a new sampling window for suppressing spatially uniform errors were constructed. Using these equations and new sampling amplitudes, we designed a new phase-shifting algorithm with 17 samples. Herein, the characteristics and advantages to the measurement of highly reflective surfaces when applying this new 17-sample algorithm are presented based on a Fourier representation. In addition, the superiority of the new algorithm in terms of its error control is demonstrated by comparing the errors occurring from a varying object phase, as well as root mean square errors, with those from different conventional algorithms.
Fundamental Issues in the Design of Smart Home for Elderly Healthcare

A smart home for the elderly must provide comfort and care while protecting their safety and privacy. The current advances in Wireless Sensor Network (WSN) technology offers both opportunities and challenges for elderly care. Sensors and actuators of different types and functionalities in WSN should be made to collect data and manage it according to the set of healthcare domain policies and privacy rules demanded by the elderly. Because most of the sensor types used within the home use electricity rather than battery as they can use the power from the building itself, resource constraints is not an issue in providing hardware and software-based solutions to protect the elderly home. Based on the concept of Sensor Design Pattern (SDP) and Context-aware Role-based Access Control (CRBAC) technique, this paper explains defensive methods for most of the common threats that arise in a smart home WSN.
The Impact of The Behavior of Smartphone Usage on The Consumption of Fake News by Student

Abstract— The background of this research is the increase of the distribution of fake news in cyberspace to coincide with the 2019 general election (Pemilu) campaign in Indonesia. Undergraduate students in Indonesia, most of whom are beginner voters in the 2019 election, are one of the most important campaign targets calculated by each political party. Fake news produced massively and structurally by political parties to get support from voters can break the unity and the harmony of the nation. Students as young people whose mindsets are critical and have idealism in fighting for their ideas must be able to distinguish between true and fake news for the safety of their own insights. The research method used is a quantitative method to understand the behavior of students in using mobile phones which is the fastest media for disseminating information through the internet. Understanding these behaviors will provide an overview of the impact of the application or information channel most often opened by someone to their ability to distinguish true and fake news. This study aims to get a strategy that needs to be done to improve student behavior in using mobile phones, which will affect the quality of information obtained from the internet via mobile phones. So that young person who are productive and have the right insight are not easily provoked by fake news from the internet
PERANCANGAN APLIKASI JADWAL MAHASISWA BERBASIS ANDROID

In the process of education in university level in Indonesia, students have obligations covering face to face activities in the classroom, practicum, experiment administration and academic assignment. In addition to compulsory activities, students also have other activities outside the lecture activities of organizations, work and other activities. In practice, however, students often have difficulty managing their activities so that they are late or do not even attend lectures. This will be very fatal to the future of the country given the importance of the role of students as intellectuals in this country. From the problems that researchers took the initiative to design an android based applications that can manage time and get information on the activities of college in a timely manner. Students can also see information on their upcoming activities. The programming language used in making this app is Java and uses the Android Studio development software.
Impact of Users’ Beliefs in Text-Based Linguistic Interaction

Linguistic interaction between humans and machines is one of the most challenging fields in the development of next-generation User Interfaces. In this work, we investigate the role of beliefs about the interlocutor in human-computer linguistic interaction. First, we introduced an experimental setup that makes use of filtered and post-processed web content to generate a realistic, generic linguistic interaction. Then, we collected dialogues from two different sets α and β, corresponding to users being unaware or aware of the artificial nature of the interlocutor, respectively. The results thus obtained, analyzed using a standard t-test procedure (N=30), demonstrate a statistically significant difference between the two sets in some of the linguistic features selected, i.e., sentence length and the number of adjectives, providing further insights to expand some of the evidence previously found in the literature.
Event recognition and classification in sports video using HMM

Sports event recognition and classification is a challenging task due to the number of possible categories. On one hand, how to characterise legitimate occasion classification names and how to acquire preparing tests for these classes should be investigated; then again, it is non-inconsequential to accomplish acceptable order execution. To address these issues, we propose the use of the spatio-temporal behaviour of an object in the footage as an embodiment of a semantic event. This is accomplished by modelling the evaluation of the position of the object with a hidden Markov model (HMM). Snooker is used as an example for this purpose of research. The system firstly parses the video sequence based on the geometry of the content in the camera view and classifies the footage as a particular view type. Secondly, we consider the relative position of the white ball on the snooker table over the duration of a clip to embody semantic events. The temporal behaviour of the white ball is modelled using a HMM where each model is representative of a particular semantic event.
Analysis of Similarity Metrics Through Clustering using WordCount,TF_IDF and Probability

The text documents are very important in the usage of www. Many users require so much text information to gather essential knowledge in their required field of interest. To serve the user internet the quite relevant required topic related documents are to be retrieved. To satisfy this requirement as well as indexing and retrieving the documents the researchers tend to produce many new algorithms in the field of text document mining. The proposed system carries out the problem by performing two different operations. Fist one is the feature extraction operation. The second on is the clustering operation. In the first operation to extract the features from the text document various operations like preprocessing, tokenization, Stop word removal, streaming and bag of Words were performed. By performing these operations the Document representing features namely WordCount, TF_IDF and probability of word occurrence were determined. The second operation is performed with K-means clustering algorithm. In the clustering phase the three features and some of the similarity measures were used to conclude the overall performance. The proposed method yields better performance for Spearman Similarity compared with other two Cosine Similarity and Correlation Similarity metrics.
Using Play Modules

A Play application can be assembled from several application modules. This helps in reusing the application components across several applications. The modules also help in splitting a large application into several smaller applications.