Reviewerly/exHarmony huggingface dataset:
Code as Prosthesis (2020) [REF2021 collection]

Code as Prosthesis is a practice-led research project which aims to understand how generating music by means of computer algorithms relates to the traditional and inescapable materialities of musical practice. The research was funded by means of an Automation Fellowship awarded by the Southwest Creative Technology Network (SWCTN). Dissemination of the findings took place through the use of an innovative interactive website (codeasprosthesis.net), as well as through the International Journal of Creative Media Research (April, 2020).This Collection documents a single-component output with contextualising information. The items provide evidence of the output in the form of the link to the output website, and contextualising information is provided in the form of a 300-word statement, Research Timeline & Research Questions, and the link to the Journal Article in the International Journal of Media Studies.
Buddhist Oriented Schools Model in Establishment for Education

The purpose of this article was to study. Buddhist Oriented Schools model in establishment for education. both the point of meaning and theory. The importance and concepts and principles of the Buddhist Oriented Schools. This will be useful in the application of teaching and learning management to learners. The Buddhist Oriented school has applied or applied the principles of Buddhism in administration to develop learners. There are 3 educational systems: trisikkha or morality, concentration and wisdom. by focusing on covering all aspects of life. The aspects of the Buddhist Oriented school model in operation are characterized by 5 aspects: Physical/Environmental, Basic activities of life, Teaching, Atmosphere and interaction and management.
Desain Laboratorium Pendidikan Berbasis Keterampilan Literasi Digital

Digital literacy skills in learning services are needed during the COVID-19 Pandemic. The application of digital literacy in learning requires the support of long-term support unit stability. Many researchers have applied computers and information to improve learning, but research on supporting components and laboratory correlations as a support for the long-term stability of digital literacy is still scarce. The laboratory as a supporting unit has a strategic role in the development of digital literacy-based instructional services. This paper aims to conceptualize an Education Laboratory based on digital literacy skills in Indonesia. The concept of an educational laboratory is constructed using qualitative research methods through exploration involving the components of Lecturers, Schools, Students, and Pranata Lab, Department, and Faculties. The integrative framework for digital literacy at the micro and macro laboratory levels is the core of the discussion. The two basic strategies in this paper are the first strategy of the corelasional framework. The second strategy is regarding the conceptualization of the laboratory which is reduced to the function and scope of the laboratory. The findings of this paper are the Conceptualization of Educational Laboratories as academic support, research facilities, and public facilities.&#x0D; Abstrak: Keterampilan literasi digital dalam layanan pembelajaran sangat dibutuhkan pada masa Pandemi COVID-19. Penerapan literasi digital pada pembelajaran membutuhkan dukungan stabilitas unit pendukung jangka panjang. Banyak peneliti telah mengaplikasikan komputer dan informasi dalam perbaikan pembelajaran, Namun penelitian komponen pendukung dan korelasi laboratorium sebagai pendukung stabilitas jangka panjang literasi digital masih langka. Laboratorium sebagai unit penunjang memiliki peran strategis dalam perkembangan layanan instruksional berbasis literasi digital. Makalah ini bertujuan mengonseptualisasi Laboratorium Pendidikan berbasis keterampilan literasi digital Perguruan Tinggi dan sekolah/madrasah. Konsep laboratorium pendidikan dikonstruk melalui metode penelitian mix method melalui penelitian korelasional dan eksplorasi melibatkan Dosen, Sekolah, Mahasiswa dan Pranata Laboratorium, Program studi dan Fakultas. Kerangka kerja integratif tingkatan mikro dan makro menjadi inti pembahasannya. Dua strategi dasar makalah ini adalah pertama korelasional. kedua konseptualisasi laboratorium yang direduksi menjadi fungsi dan ruang lingkup laboratorium. Temuan makalah ini adalah konsep laboratorium pendidikan sebagai pendukung akademik, fasilitas penelitian, dan layanan publik.
Unmasked II: An Analysis of Indonesia and the Philippines’ Government-launched COVID-19 Apps

Research undertaken in this report was supervised by Professor Ronald J. Deibert,principal investigator and director of the Citizen Lab.
A hybrid semi-supervised boosting to sentiment analysis

In this article, we propose a hybrid semi-supervised boosting algorithm to sentiment analysis. Semi-supervised learning is a learning task from a limited amount of labeled data and plenty of unlabeled data which is the case in our used dataset. The proposed approach employs the classifier predictions along with the similarity information to assign label to unlabeled examples. We propose a hybrid model based on the agreement among different constructed classification model based on the boosting framework to assign a final label to unlabeled data. The proposed approach employs several different similarity measurements in its loss function to show the role of the similarity function. We further address the main preprocessing steps in the used dataset. Our experimental results on real-world microblog data from a commercial website show that the proposed approach can effectively exploit information from the unlabeled data and significantly improves the classification performance.
Optimization of learning algorithms in multilayer perceptron (MLP) for sheet resistance of reduced graphene oxide thin-film

&lt;div&gt;Multilayer perceptron (MLP) optimization is carried out to investigate the classifier's performance in discriminating the uniformity of reduced Graphene Oxide(rGO) thin-film sheet resistance. This study used three learning algorithms: resilient back propagation (RP), scaled conjugate gradient (SCG) and levenberg-marquardt (LM). The dataset used in this study is the sheet resistance of rGO thin films obtained from MIMOS Bhd. This work involved samples selection from a uniform and non-uniform rGO thin-film sheet resistance. The input and output data were under going data pre-processing: data normalization, data randomization and data splitting. The data were dividedin to three groups; training, validation and testing with a ratio of 70%: 15%: 15%, respectively. A varying number of hidden neurons optimized the learning algorithms in MLP from 1 to 10. Their behavior helped establish the best learning algorithms in discriminating MLP for rGO sheet resistance uniformity. The performances measured were the accuracy of training, validation and testing dataset, mean squared errors (MSE) andepochs. All the analytical work in this study was achieved automatically via MATLAB software version R2018a. It was found that the LM is dominant inthe optimization of a learning algorithm in MLP forrGO sheet resistance.The MSE for LM is the most reduced amid SCG and RP.&lt;/div&gt;&lt;div&gt; &lt;/div&gt;
ENGLISH USAGE IN BUSINESS SLOGANS: PERSPECTIVES FROM THE BUSINESS OWNERS AND THE CUSTOMERS

Despite having a mediocre number of literate people, many business owners in Indonesia, especially in Pontianak, maintain to apply this common foreign language into their business features. Some of which are incorporated in the business or product slogan. As a slogan mostly containing a short, engaging, and easy-to-remember phrase, countless companies, including small businesses, promote their products or services through English. Such promotion was supposed to attract readers' attention and prove the business's existence in prospective customers' eyes that they are professional, exclusive, and millennial. One of the businesses that use this strategy can be found in food courts in Pontianak, where some of the vendors used English as their slogan language. This research aims to find out the cause of some entrepreneurs chooses English as their slogan language. In this regard, the writer wants to know the customers' opinions of the English language slogan. This research is descriptive qualitative research through observation and interview. The result shows that English usage in slogans makes the marketed product are more engaging in advertising. Moreover, the use of English in the slogan is a way for business owners to show the marketed product's quality.
Architecture Design of E-Information System Marketplace with Method Enterprise Architecture Planning

Utilization of a technology indispensable information on SMEs because they develop information technology will be more complete and would affect ongoing business developments. At this time, not a few developments and development of information system technology have failed, this is because it is not following the goals and needs of these business people. One technique that can be used to build/develop information system technology is the existence of Enterprise Architecture Planning, where this technique is a technique used to approach data quality planning by looking at the needs of the SME business in Enterprise Architecture Planning will be explained about applications, data architecture, technology and a roadmap for the implementation plan of the architecture. SMEs cannot be separated from the need that can define business needs and even information architecture so that the direction of business development policy strategies can be well planned. Information technology architecture modeling in SMEs, including application definition, data architecture, technology, and implementation plan mapping. The process when defining information technology architecture is reviewed and refers to processes that are common in the business of implementing E-Marketplace applications, especially in SMEs. The results of the research will produce a mapping of implementation plans that can be used as a reference in the development of an application to support the business functions of SMEs.
ESTRATÉGIAS DE INTERVENÇÕES DO PROGRAMA PRÁTICAS INTEGRATIVAS E COMPLEMENTARES EM SAÚDE DA UNIFAL – PROGRAMA PICSUNIFAL - ANTES E DURANTE A PANDEMIA DA COVID-19

This study aims to report the activities and the intervention strategies carried out before and during the pandemic time. It is an experience report of the actions developed by the Extension Program of Integrative and Complementary Practices in Health at UNIFAL-MG. It was carried out several care services and monitoring to the academic community, civil servants and external community through the projects linked to the face-to-face program. Due to the Covid-19 pandemic, it was necessary to adapt the activities to the remote model, creating sites and channels on social networks to disseminate knowledge and to monitor activities through Google Meet. Thus, the program provided countless benefits to the participants and, even with social isolation, it had been able to expand its actions, disseminating knowledge and quality of life to the assisted population.
PENERAPAN GOOGLE CLASS ROOM DAN GOOGLE MEET DALAM PEMBELAJARAN PEMESANAN PENGHITUNGAN TARIF PENERBANGAN DI KELAS XI USAHA PERJALANAN WISATA SMK NEGERI 1 KOTA TERNATE

Learning conditions in the Tourism Travel Business Department of SMK Negeri 1 Ternate City require an active, innovative, creative, effective, and fun learning concept. This is based on material characteristics such as Booking Flight Fare Calculation, which requires students to understand the theory as well as be able to apply it later at the implementation of street vendors and when they work in the Tourism Industry later. The purpose of this study is to increase the activeness of students and student learning outcomes through the application of google classroom and google meet. This type of research is classroom action research (Classroom Action Research). The research was carried out in collaboration between researchers, teachers and students. The research subjects are 60 students of class XI.SMK Negeri 1 Ternate City in the 2020/2021 academic year. Data collection techniques used simple observations and questionnaires. The research procedure includes the following stages: (a) planning, (b) implementation (c) observation, and (d) reflection. Based on the research results, the implementation of Google Classroom and Google Meet has an increase in the activeness of students. Where from cycle I, 33 respondent Choose agree with the use of the application, and student learning outcomes obtained was 53.4%. In cycle II the activeness of students increased to 70 percent and student learning outcomes achieved 76.7%. There was an increase from cycle I to cycle II of 23.3%. Therefore it can be concluded that this study is successfully increased students activity in the process of teaching and learning.
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC)

Satwik Kottur, Paul Crook, Seungwhan Moon, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard. Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2021.
Data files for "Metal–silicate partitioning of W and Mo and the role of carbon in controlling their abundances in the Bulk Silicate Earth", Jennings et al. (Geochimica et Cosmochimica Acta)

Supplementary tables S1, S2, S3, S4, S5, S6. These constitute the raw research data for the paper: Metal–silicate partitioning of W and Mo and the role of carbon in controlling their abundances in the Bulk Silicate Earth by Jennings et al. (Geochimica et Cosmochimica Acta).Table S1: Details of methodsTable S2: EPMA and LA-ICP-MS data for silicate and metal phases. See captions and paper for details.Table S3: Sources used for additional data used in the data compilation in the paperTable S4: Variance-covariance matrices for data fittingTables S5 and S6: Model outputs, see captions and paper for details.
Research on the design of community micro service platform

With the rapid development of information technology, all industries are actively seeking information technology for transformation and upgrading, through scientific and technological means to improve work efficiency and people's living standards.The Residents Community micro service platform uses information technology to present the functions of traditional property management on the Internet.It aims to establish a one-stop convenient service program to provide residents with more convenient community services and more convenient property management.Using spring cloud framework to build community micro service platform, first of all, the functional requirements of the platform are analyzed to get the functional requirements of the platform; Then the overall design and detailed design of the platform are carried out to supplement and improve the functional modules of the platform; Finally, the deficiencies of the platform and the need to modify the place to supplement, for the future management and maintenance platform to provide fast and convenient documents.The database used in the platform is MySQL database, which is developed with spring cloud framework.In terms of software development, eclipse and wechat developer tools are used to develop the administrator side and the owner side respectively.In the process of design and development, it fully ensures the readability, expansibility, generality, easy to update and maintain, simple operation and simple page of the development code.
Effect of LEGO-Based Curriculum on Better Understanding of Mathematical Concepts among First-Grade Students

The overall objective of this study was to evaluate the use of LEGO-based curriculum on first grade students' understanding of mathematical concepts. The study population consisted of all first grade students in Tehran. Performances LEGO-based curriculum the school complies with its peers based on age, sex, fees received, the area and educational facilities. In this study, the sampling method, and targeted schools that agreed the project was done. A total of 30 first- grade students (15 males, 15 female) as students enjoyed the LEGO -based instruction and 30 students without the benefit of a LEGO -based implementation as control group randomly selected. To collect data in this study has been made ​​by researchers from the Czech list. In this Czech lists several questions to gauge respondents' demographic information and to assess the hypothesis in which five closed-ended questions were used for assessing each components and the answers were set on a 5-point Likert scale. The results showed that the use of LEGO -based curriculum to better understanding the concepts of horizontal and vertical lines of symmetry, numerical and geometrical patterns in first-grade pupils in Tehran’s influence. However, the results showed that the use of LEGO -based curriculum to better understanding the implications of the concept of ten categories has no effect.
Cognition of Musical Instruments as an Integral Part of Music Teachers Competencies

"This article aims to reason the importance of the knowledge about musical instruments by future music educators. The cognition of musical instruments include competencies necessary for the handling of the instruments by instrument teachers, ensemble leaders, teachers-arrangers and teachers-composers. Another important field of knowledge is the characteristics of instruments and their artistic possibilities that teacher has to explain for pupils in their classes while listening to the music and discussing it. Considering these activities as an essential element of music educators’ work, the ability to distinguish the timbres of the most common professional instruments by ear should be treated as one of the fundamental abilities of pedagogues. Keywords: instrumentation, orchestration, timbre, music education. "
LibGuides: Atlanta Technical College Library: LinkedIn Learning for Students

Information for Students, Staff, and Faculty on resources and events happening at ATC's Library.
Security Enhancement in Trust Based Model in Service–oriented IoT Healthcare

In the Internet of things, Healthcare is an important application which is growing rapidly.  IoT Healthcare enables patients to continuously monitor their health related treatment without the physical presence of a doctor using various healthcare devices having sensors. But there are a large number of healthcare service providers and choosing the most trustworthy among them is a challenge. In this paper, a novel trust mechanism is introduced in healthcare with an integrated approach of recommendation, observation and certification models followed by CPA documentation.  The proposed model performs clustering of similar Healthcare providers which helps in reducing traversing time for each patient request. Proposed system is highly effective in reducing starvation of new HP, reduced Computational power and more efficiently. Along with it, the system is effectively able to detect and prevent our model from four main attacks as self promoting, bad-mouthing, on-off attack and ballot stuffing attacks making the system more effective than the conventional methods
Text Comprehension with Parameterized Quantum System

Background/Objectives: Information is crucial in present world; text is one form of information that is being exchanged in alarming rates. Natural language Processing is one field that concentrates on text analysis. Methods/Statistical analysis: Text Analyzers collects the word vectors and embed them into one by calculating semantics, and their relationships were considered on bases of dependencies and dependency trees which only targets subject to object relations and vice versa. In this digital era, microblogs involve more complicated text which are very hard using dependencies and relations to comprehend in bases of contextual semantics. Findings: In this paper we are addressing this problem by building a novel quantum enhanced modal. The proposed methodology exchange parameters between NLP algorithm and Quantum native optimizer allowing us to solve non-linear problems while composing the semantics. Improvements/Applications: We have integrated our methodology into a simple question and answering system for assessment, this system will give us the scores and answers build upon context already existing on the internet. In every Assessment Quantum Trained or Q-Trained algorithm exhibited promising results when compared with the best-in-class NLP algorithm ALBERT.
TEACHING UNDER THE ATLAS SYNDROME

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 9325-9328ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.1881Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
Stereo Matching Based on Features of Image Patch

Stereo matching is a branch of 3D vision and has a wide range of applications in 3D reconstructionand autonomous driving. Recently, stereo matching methods leverage all the information of the stereo image to calculate disparity map. However, these methods still have difficulties in texture-less areas and occlusion areas, and post-processing improves accuracy. Therefore, there is a high computational cost in feature extraction and post-processing. In this paper, we propose a stereo matching method based on features of image patches to predict the disparity of non-occlusion areas instead of full image features. And aggregation methods are performed to modify all kinds of mismatching pixels based on the correct disparity in the non-occlusion areas. Furthermore, we evaluated the proposed method on the Middlebury dataset. The result shows that the proposed method performs well in all areas.
Coin Recognition Based on Physical Detection and Template Matching

At present, coin circulation automation technology has been widely used in many aspects, so it is necessary to install coin recognition and detection devices in related equipment to prevent coin confusion. However, many current coin detection methods have high requirements for hardware,which increases costs and makes it difficult to install and use equipment in narrow spaces. In this paper, we propose a coin recognition method with low hardware requirements and high accuracy. The design is to take a picture of the coin, detect the image and match the template to distinguish three different coins in the fourth edition of RMB. Compared with other detection methods using the eddy current method, it is lighter and easier to assemble, and can be easily embedded in narrow places.
LibGuides: Artificial Intelligence and Careers after Coronavirus Articles.: ? Students Want; ? Students Need.

These articles are food for thought. These are to let students know what is being said; HBU does NOT ACCLAIM these to be the truth or our future.