Reviewerly/exHarmony huggingface dataset:
Higher Musical Education in Izhevsk: History and Modernity

The research objectives are as follows: to identify specificity of higher musical education development in Udmurtia and to reveal problems in this sphere. The paper describes the basic stages of higher musical education development in Izhevsk, analyses activity of the Musical and Scenic Art Department established in the Institute of Arts and Design of the Udmurt State University, emphasizes the fact that it was the first and the only higher musical education institution in the capital city. The authors summarize historical experience and identify topical problems of the regional higher musical education, which constitutes scientific originality of the study. The research findings are as follows: the authors reveal experience of integration of the former industrial settlement “Izhevsk Plant” into musical-educational and musical-concert space of the Ural-Volga region.
PERBANDINGAN ANTARA TREN PERPUSTAKAAN, LITERASI, DAN REVOLUSI INDUSTRI 4.0 PADA MESIN PENCARI GOOGLE

Introduction.  Literacy level has an impact on economic development of a country. The lack of literacy is a barrier to one’s development in their life stages. Library then helps people to improve their literacy. Digital industry has changed the library’s services and collections . Tujuan.  The study aims to observe the comparison of library searching trend, literacy and Google on industrial revolution 4.0 . Metode.  This is a qualitative study with survey from Google trends as its based approach . The samples were data of the trend number about “ library ”, “ literacy ”  and  “ industrial revolution 4.0 ”. Results.  The results of the study showed that the trend value of information searching about “ library ” is not always in line with the tren d  “ literacy ”. Moreover , both trends have no impact on information searching t ren d about “ industrial revolu tion  4 .0 ”.
Decision Support System Using Fuzzy Logic Mamdani Method To Select New Students: Decision Support System Using Fuzzy Logic Mamdani Method To Select New Students

Produce competent graduates in the fields of science and computers with excellence in the fields of computer graphics and multimedia, computer networking, and software technology and have character and moral integrity. Decision support system can be interpreted as a system designed to support management in making a decision. The problem to be solved in this research is to develop a decision support system produced by a computer-based system that is used to help decision making in finding data and certain types of types to solve problems that are not structured. This study uses a descriptive approach to the Mamdani fuzzy logic technique. The results of this study are in the form of calculations in determining the selection of prospective students manually in mamdani fuzzy logic, the application to be built can be useful for its users in determining the selection of prospective students who will be competent in the field or academics. This method was chosen because it can provide optimal results, by selecting prospective new students
LibGuides: Black Lives Matter: Get Involved

This LibGuide is here to help connect people with resources and information on the Black Lives Matter Movement Ways to Get Involved
GPU acceleration of a patient-specific airway image segmentation and its assessment

Image segmentation plays an important role in computer vision, object detection, traffic control, and video surveillance. Typically, it is a critical step in the 3D reconstruction of a specific organ in medical image processing which unveils the detailed tomography of organ, tumor, and nerve, and thus helping to improve the quality of surgical pathology. However, there may be high computational requirements in it. With the advent of GPUs, more complex and realistic models can be simulated, but the deployment of these facilities also requires a huge amount of capital. As a consequence, how to make good use of these computational resource is essential to GPU computing. This study discusses the image segmentation of 3D airway reconstruction, identifies the computing-intensive task, and parallelizes the algorithm of image segmentation in order to obtain theoretical maximum speedup in terms of the benchmark ratio of GPU to CPU. There are five steps involved, which are the image acquisition, pre-processing, segmentation, reconstruction, and object recognition. It is worth to note that it takes 85\% of time on segmentation. This study successfully accelerates the image segmentation of 3D airway reconstruction by optimizing the memory usage, grid and block setting and multiple GPUs communication, thereby gaining a total speedup of 61.8 on two GPUs (Nvidia K40).
THE USE OF MOBILE LEARNING AS A MODERN INFORMATION TECHNOLOGY IN LEARNING OF FOREIGN LANGUAGE IN THE EDUCATIONAL INSTITUTIONS

The article examines the current trends of mobile learning in modern education. Some of the aspects of implementation such mobile approach are mentioned below. It is noted that despite the widespread availability of different types of mobile phones among students, mobile learning poorly distributed in high schools of Kazakhstan. The technical and psychological readiness of students to use mobile technology in the learning process is analyzed. Also, the experience of the first world mobile learning technology is examined. Based on that findings some of the advantages and the most suitable mobile devices are outlined. These devices. which originally were developed for entertainment might play a crucial role in increasing the efficiency of Kazakhstan's education sector. It concludes that most of today’s students are ready both technically and psychologically to use mobile technology in education, and it is highly important to consider any new opportunities for more effective use of mobile learning.
Students’ English Lesson Attitudes and Its Effects on their English Achievement

This research is aimed to analyze students’ English lesson attitude and its effect on their English achievement. This research is a pre-experimental and it was carried out at one joint-cooperation school in Surabaya, Indonesia. Since English is the language that mostly used at the joint-cooperation school, the parents that sent their children there must have high expectations of their children’s English ability. This pressure can affect the students in learning English in the class. Some students will have negative attitudes in learning English because their parents do not want them to fail. Therefore, the researcher took a sample of 17 students in grade 3 as her subjects. The writer used a questionnaire to measure students’ attitude towards English lesson and compare it with students’ English score. The result shows that students’ attitudes do affect their English achievement. Those students who have positive attitudes towards English will stimulate their mood to absorb the information better.
An Automatic Blood Cell Separation Machine with Disease Detection System: Perspective in Bangladesh

Blood is a liquid that transports oxygen and supplements to cells and diverts carbon dioxide and other byproducts. Red blood cells principally carry oxygen and gather carbon dioxide using hemoglobin. Hereditary disease of the blood comprises hemoglobinopathies, which is a significant common health issue in Bangladesh. Sickle cell disorder alludes to the gathering of hereditary issues described by the presence of sickle hemoglobin, sickliness, schistocytes, intense and ongoing tissue injury and blockage of the bloodstream by anomalously formed red cells. Schistocytes are additionally a critical marker of a perilous condition aﬀecting a human patient. In the cutting-edge setting, only the most modern computerized cell counters ﬂag their administrators if a schistocyte is identified and few of them can provide a schistocyte tally. By analyzing these issues, in this paper, we propose to create an automatic system that will allow blood cells to be separated very quickly, and with this, blood diseases can be also identified.
SISTEM INTERAKTIF KELAYAKAN FINANSIAL UNTUK PENGUSAHA BATIK TULIS LASEM

Requesting financial assistance from the banking sector is one of the policies of Batik Lasem entrepreneurs which are taken for the purpose of business development or other purposes. The problem that often occurs is that employers do not know whether or not the request for assistance is appropriate. The purpose of this research is to build a financial feasibility system for Batik Tulis Lasem entrepreneurs so that entrepreneurs know whether or not a request for assistance submitted to banks is feasible. The financial analysis used to determine the feasibility of the business is Net Present Value (NPV), Net Benefit Cost (Net BC), Internal Rate of Return (IRR), and Payback Period (PP). The data needed in this study is data about the raw material requirements and operational costs of the Batik Tulis Lasem Company. The data was obtained through literature studies, observations and interviews with one of Lasem Batik's businesswomen, namely Mrs. Sri Winarti, who is the chairman of KUB Sarwo Endah. At the software engineering stage, the methods used are analysis, design, coding, testing, and installation. The modeling system used is structured modeling using Data Flow Diagrams and Entity Relationship Diagrams. The programming language used is php and the Database Management System used is MySQL. Testing is done using Blackbox Testing and User Acceptance Test (UAT). From the testing process, the results show that functionally the application can be used to determine the financial feasibility of Batik Tulis Lasem. The application has gone through the installation process and it can be accessed at http://sikf.itsolutive.net
Improving Studentsâ€™ Reading Comprehension by Using Folktale

The objective of the study is to produce the instructional strategy by using folktale. The researcher limits the discussion only in the case of improving students’reading comprehension by using folktale in Elementary Class at An-Nahdloh English Course. This research uses a classroom action research method. This study aims to produce intructional strategies to read using folktale. The study was completed at Elementary Class An-Nahdloh English course with a total of 15 students.The research procedure is in the form of a cycle. Each cycle consists of four stages, including: Planning, acting, observing, reflecting. Data collection techniques through tests. Data collection uses reading tests using folktale. In the test, the students in order to read some folktale text and the teacher give 3 exercises. 1 question contains 10 points for use in taking scores. The results of the reading test in cycle 2 have increased from cycle 1. The average value in cycle 1 is 67,87 while in cycle 2 it becomes 91,33. In addition to the increased average scores, the percentage of students categorized as complete learning ≥ 75% also increased from 46,67% to 100%. Therefore, it was very clear that folktale could help students to improve their reading comprehension.From the results of the using folktale in Elementary Class at An-Nahdloh English Course can improve reading comprehension with the following steps such as: 1)  The teacher greets, 2) The teacher addresses students, 3) The teacher review about definition of Folktale, 4) The teacher forms a group, 5) The teacher gives the dialouge folktale text, 6) Students read folktale texts together with groups, 7) Questions and answers, 8) The teacher gives a conclusion, 9) The teacher gives a final greeting.
BLCU-NLP at SemEval-2020 Task 5: Data Augmentation for Efficient Counterfactual Detecting

Counterfactuals describe events counter to facts and hence naturally involve common sense, knowledge, and reasoning.SemEval 2020 task 5 is focusing on this field.We participate in the subtask 1 and we use BERT as our system.Our Innovations are feature extraction and data augmentation.We extract and summarize features of counterfactual statements, augment counterfactual examples in training set with the help of these features, and two general methods of data augmentation is experimented in our work.We demonstrate the effectiveness of our approaches, which achieves 0.95 of subtask 1 in F1 while using only a subset of giving training set to fine-tune the BERT model, and our official submission achieves F1 0.802, which ranks us 16th in the competition.
Event-Based Cooperative Control Framework for Robot Teams

Efficient and autonomous execution of large-scale missions using a group of robots implies the use of an advanced control system, usually consisting of multiple subsystems arranged in a hierarchy. For the purpose of unification of interaction of separate subsystems, an event-based cooperative control framework for robot teams is developed. In the paper, we demonstrate how this framework can be used in solving challenging problems in robotics: path-following problem, real-time path-planning problem, group routing problem, and action-planning problem. A novel approach to formalization and analysis of logic discrete event systems, which are the main component of the framework, based on logic calculus and automatic theorem proving is also briefly described.
Practice and Thinking of Mixed Teaching Based on MOOC Class

MOOC, which refers to a large-scale open online course, is an "Internet + education" online course model emerging from the information society. The MOOC is different from the traditional curriculum model. It is not only for dozens of students, it is for thousands of students regardless of nationality or region. In recent years, in China, the MOOC course has received great attention. Through the analysis of Coursera's data, the number of registered users in China has increased sharply every year, far exceeding other countries in the world. In many higher education institutions in China, the study of the MOOC teaching model has become one of the key points of the teaching reform. The mixed teaching based on the MOOC has begun to be used in college English, ideology and politics, biochemistry, engineering, nursing, etc. In professional courses. This article discusses the mixed teaching practice based on MOOC. By analyzing the difference between mixed teaching and traditional teaching, it points out the key points and difficulties of mixed teaching in practice.
Analysis of Various Multilingual Document Clustering

Today’s world is heading towards data science era. As the volume of the data is increasing extremely at exponential rate and data is produced and circulated all over the world, not only in English languages but in every regional language too. Since the data’s are in multilingual it is extremely difficult to manage such huge amount of variant data. Hence there is a scope for research work on multilingual document clustering. By document clustering we can retrieve the information of user query. This technique is to divide a given set of documents into a certain number of clusters. The aim is to create a multilingual document clustering that are related internally, but substantially different from each other. Main challenge faced while creating MDC, is the quality and stability of the cluster which swirls rapidly with document sets. Multilingual Document clustering has to be represented in a form of matrix which is done by either Vector Space Model or TF–IDF method. Where each word is given a value representing particular document. News articles are retrieved from relevant news explorer using proper search engines. Word in news articles are represented in one dimensional error using mathematical vector. Keywords in every articles are selected using term frequency (tf) and evaluated with inverse document frequency (idf). It uses discriminative power of keyword’s over articles. It encourages users to opt for cluster based browsing which is acceptable for processing the results. Big Data tools work efficiently in distributed environment which gives a significant analysis of our retrieved information. Many document clustering works well with small set of data but fails to deal with the large set of document. In this paper we concentrate on bring out the various problems that raise during multilingual document clustering and possible solution to overcome those problems.
Assesment Online Learning System di Masa Pandemi COVID-19 Menggunakan Metode Technology Acceptance Model

In the situation of a pandemic novel COVID-19 throughout the world forced all changes in the order of activities that exist in society, one of which is in teaching and learning activities. As a solution to learning activities at the moment everything must be implemented online, both students and instructors are forced to adapt to the online learning system . This sudden change often causes problems related to learner's behavior. This study tries to observe student behavior towards learning activities that are forced to be done from home with the principle approach of the Technology Acceptance Model (TAM). The research respondents numbered 93 people and the elearning system tested was the use of learning media with whatsapp, LMS Moodle, zoom meeting and its combination. The results of this study can provide recommendations in distance learning in the future.
Grotesque in the direction of E. Vakhtangov, A. Granovsky, Les Kurbas, Vs. Meyerhold

The purpose of the article is to highlight the formative principles of the grotesque in the practice of innovative directors E. Vakhtangov, A. Granovsky, Les Kurbas, Vs. Meyerhold. The methodology of the study is based on analytical, historical, comparative, and comparative typological methods. These methods were useful in understanding the specifics of stage grotesque, the analysis of socio-political processes of the first third of the twentieth century, and to identify the key trends in the directing and acting of the 1920-1930s. The scientific novelty is determined by the fact that the grotesque is the basic tool of figurative theatrical language, and its fundamental principles of contrast and struggle of opposites allow us to find new metaphorical meanings in the stage work in accordance with the demands of time. As a result, the authors of the article note that the grotesque stylistics in the 1920s-1930s, which is inherent in the work of the leading directors of the USSR and Europe, caused a certain tendency to search for the actual grotesque “key”, such as the example with artists N. Altman and G. Gross, influenced the formation of many actors' performing style. Conclusions. In the creative work of directors E. Vakhtangov, A. Granovsky, Les Kurbas, Vs. Meyerhold's grotesque stylistics emphasized the author's vision of both the post-revolutionary reality and the overall picture of the world. In addition, the grotesque as a principle of constructing stage imagery was an indicator of their aesthetic, artistic, and formative pursuits. With the help of stage grotesque it was possible to bring actual social problems to the point of absurdity, that is, to either dilute the atmosphere around this or that phenomenon or vice versa – to exacerbate it to the limit. In this way, the theater was able to diagnose the “diseases” of society and perform prognostic functions.
Sentiment Analysis of the Impact of Covid-19 on Indonesia's Economy through Social Media Using the ANN Method: Sentiment Analysis of the Impact of Covid-19 on Indonesia's Economy through Social Media Using the ANN Method

Social media platforms and micro blogging websites are rich sources of user-generated data. The internet has changed the way people express their thoughts and feelings through social media, like Twitter. Twitter as a place for information flow, Twitter is a rich source for learning about people's opinions and sentiment analysis. This study aims to determine how much the impact of the co-19 pandemic on economic conditions in Indonesia, measured from the resulting community sentiment. To solve the problem in this case study using a method that is for pre-processing data using cleansing, filtering, tokenization and stemming. The classification process uses the Artificial Neural Networks (ANN) method. The data used are Indonesian-language tweets with the keywords Covid-19, Economi Indonesia, MSME, storylineverline and phk, with a dataset of 1600 tweets. The results of this study are sentiment analysis of the impact of co-19 on the Indonesian economy. Results of training dataSMEs get an accuracy of 99.37% and Ojekonline data get an accuracy of 99.25%.
Who Gets to Define Success? Listening to Stories of How People Value Firefox to Redefine Metrics and Revive a Decommissioned Product

Challenging measures of scale is possible through listening to stories of how people value a product, and envisioning ways to measure success beyond typical metrics like Monthly Active Use (MAU) or Daily Active Use (DAU). Understanding what people value is somewhat complex for a product like Firefox because people might use Firefox every day without thinking much about it. In this case study, we detail how we used Futures Thinking and participatory design methods to elicit stories of how people value Firefox. This case study demonstrates that a relatively small number of meaningful ethnographic insights can be powerful enough to influence business strategy. By creating the space for listening to stories and encouraging stakeholder involvement, we were able to make the case to save one of our mobile browsers, Firefox Focus, despite its lack of scale.
Essentie wordt uitgedrukt in grammatica

Amsterdam University Press is a leading publisher of academic books, journals and textbooks in the Humanities and Social Sciences. Our aim is to make current research available to scholars, students, innovators, and the general public. AUP stands for scholarly excellence, global presence, and engagement with the international academic community.
Steganalysis of low stego-payload color images using software complex

In the paper, a new software package is presented as a tool that allows to conduct steganalysis of color images and reveal embedded messages such as LSB inserts or Koha-Zhao inserts. The complex combines two algorithms previously developed by the authors and is highly effective even for small stegocontainer payload (10–30 %). The computer experiment results and a comparison of the software package and some other models performance are presented and discussed.”.
Towards a Digital Window

The present work has as its starting point and inspiration in the observation of the habit of staying at the window, mostly performed by older adults, in Lisbon, Portugal. Beginning from this habit, we seek to substantiate, develop, and record speculative and artistic visual experiments that propose a digital reinterpretation of the architectural element window. Such experiments deal with the intertwining of diverse concepts as hybrid architecture, material, digital, virtual, and augmented reality (AR). The experiment, entitled Projected Windows, consists of three different installations where we visually simulate, through image capture and projection, various possibilities of visual reinterpretations of the window in the context of the interior of dwellings. The experiment is based on digital imaging. The first two parts of the experiment are non-interactive AR experience, while the third one is a visual interactive AR experience. The project is in the initial phases of development, indicating the potential of correlating concepts, which allow to fundament experiences and visual narratives that can instigate greater advances in terms of interactivity as the work progresses.