Reviewerly/exHarmony huggingface dataset:
An Efficient Method for Generating Matrices of Quantum Logic Circuits

This paper presents an efficient method for generating matrices of quantum logic circuits. First, the truth table is generated by the operation rules of quantum gates in the quantum circuit, and then the matrix of the quantum circuit is constructed according to the mapping relationship between the truth table and the matrix. A common method is to generate a matrix by using the topological transformation rules of quantum gates, and then multiply these matrices generated by each quantum gate in the quantum circuit to construct a quantum circuit. When the scale of the quantum circuit is large, the method involves the generation and product of many large matrices, and complicated matrix multiplication, which takes a huge time cost. In contrast, our method achieves dimensionality reduction skillfully, which greatly improves the efficiency of the algorithm. Taking the GT circuit and the NCV circuit as examples, when the number of quantum lines is as large as 8, our method is hundreds of thousands of times faster than the method proposed in the previous paper.
DATA MINING IMPLEMENTATION FOR PRINTER SALES PREDICTION USING NAIVE BAYES METHOD AT RCA COMPUTER STORE KISARAN

Sales is an important element in business, for the sake of the smooth running of the business is expected to smooth sales and get large profits. The RCA Computer store is one of the computer shops engaged in the sale of printers in the city of Kisaran. Because of the current co-19 pandemic that hit the RCA Computer Range Store can not predict printer sales in the future. Data mining is one of the many fields of science that is growing rapidly, where data mining is able to process large data into information. Naive Bayes predicts future opportunities based on past experience. The results of this study the Naive Bayes method can make predictions from printer sales data and provide the highest number of printer type predictions from the highest value of the type of printer based on brand attributes, type attributes, and payment attributes Keywords:  data mining; naive bayes; prediction; printer sales
Security and Quality Assurance of ICT Enhanced Learners Support Services in Distance Education: National Open University Nigeria Experience

Learners Support Services are important parts of any Online and Distance Learning (ODL) system.Quality assurance of these services are paramount to the sustainability of ODL processes in meeting the primary learning objectives.This study focuses on quality assurance of information and communication technology tools deployed in providing supports for learners in ODL institution using National Open University of Nigeria (NOUN) as a case institution.It was conducted using survey research methodology while structured questionnaire was applied to elicit information from student who were sampled using cluster sampling techniques on the quality assurance of ICT utilization for learner support.It was statistically evident from the result of analysis that effective quality assurance processes influence the learning content design and development and provides quality learning content and services for learners' support.The outcome provides sound quality assurance blue print for quality ODL provisioning of ICT-based learner support and security of ICT infrastructures.
Protection of Personal Non-Property Rights in the Field of Information Communications: A Comparative Approach

The issues which arise in connection with the use of information technologies are analysed in the paper. The attention is focused on the protection of non-property rights, such as honour, dignity, business reputation, violated on the Internet. It is noted that today there is a significant increase in the volume of legal regulation in this area. Nevertheless, there are still significant gaps in the protection of human rights, violated on the Internet. The current level of development of these processes objectively requires the creation of effective mechanisms and means to protect human rights and freedoms, including personal non-property rights. The existing ways of protection of persons on the Internet, such as judicial protection and self-defense are compared in the paper, there advantages and drawbacks are revealed. The types of violations of non-property rights of persons on the Internet are investigated. The specific attention is paid to cyberbullying. Some issues typical for communication on the Internet, such as difficulties in identifying where exactly the offence was committed and which court the claim should be addressed as well as the identification of the offender are revealed. Some shortcomings in the legal regulation of protection of persons on the Internet and ways to eliminate them are analyzed.
Polynomial Identity Testing for Low Degree Polynomials with Optimal Randomness.

We give a randomized polynomial time algorithm for polynomial identity testing for the class of n-variate poynomials of degree bounded by d over a field 𝔽, in the blackbox setting.Our algorithm works for every field 𝔽 with | 𝔽 | ≥ d+1, and uses only d log n + log (1/ e) + O(d log log n) random bits to achieve a success probability 1 - e for some e > 0. In the low degree regime that is d ≪ n, it hits the information theoretic lower bound and differs from it only in the lower order terms. Previous best known algorithms achieve the number of random bits (Guruswami-Xing, CCC'14 and Bshouty, ITCS'14) that are constant factor away from our bound. Like Bshouty, we use Sidon sets for our algorithm. However, we use a new construction of Sidon sets to achieve the improved bound.We also collect two simple constructions of hitting sets with information theoretically optimal size against the class of n-variate, degree d polynomials. Our contribution is that we give new, very simple proofs for both the constructions.
Visualization of Agriculture Data of Rajasthan: An Application of R

Abstract Applications of artificial intelligence, machine learning, data science, and advanced analytics are abundantly used in various areas; however, these are yet to be effectively utilized in agriculture sector in Rajasthan. There are some commonly used open source platforms to perform data processing and representation of patterns as graphs. Data visualization is a key aspect of both the analysis and understanding of these data, and users now have many visualization methods and tools to choose from. The challenge is to create clear, meaningful and integrated visualizations. This representation of data using R Language provides a quick insight into both Information-assisted and knowledge-assisted visualization for interactive exploration and can be used for analytic purpose
Designing for an AI-enabled smart service adoption from a user experience perspective

'Industry 4.0', 'Digitalization', 'Internet of Things (IoT)' and 'Smart Services' have become today’s buzzwords due to the advanced development of information and communication technologies (ICTs). Consequently, the world economy has changed from a physical product dominated economy to a more software and service-controlled economy. It is no longer about the product that matters, but it is about the data that is generated by using the product or service. The data arising from the use of products can be used to define new business models and services to foster long-term sustainable competitive advantage. How to create smart services by collecting and using these data is not only an opportunity, but also a challenge for companies to remain competitive in highly dynamic market contexts. Smart services can be defined as services tailored to specific user needs with the help of data and intelligent processing. It requires a deep understanding of users and their particular contexts of use and an intelligent processing of these emergent data. User adoption of smart services should be properly understood, on the one hand; on the other hand, this understanding could be processed to enable smart interventions that support the users and how they interact with this technology on a regular basis. The understanding of user adoption within smart service research still requires considerable attention. A platform to collect, integrate and process user information and their usage data continuously is, therefore, essential to the development of smart services. In this study, an AI-enabled framework called ‘Smart Service Blueprint Scape’ (SSBS) is proposed to increase the knowledge associated with the user experiences of smart services. The framework demonstrates the elements of smart services by providing an integrated approach from the perspectives of both user experiences and AI system. With the purpose of improving the smart service adoption, three smart mobility service cases were critically analyzed, through making use of the framework to demonstrate how the users’ experiences were enabled by the SSBS framework. YouTube movie clips of these three smart mobility services were analyzed to collect the data for illustrating how the SSBS was utilized. Through the qualitative analysis, the values of an SSBS framework were identified through three aspects. Firstly, the interactive relationship with users and service provision of the smart services process is demonstrated. Secondly, the integration of user experience and AI system is further elaborated. Finally, the dimensions reflecting characteristics of smart services are identified: the connection among smart devices, AI and support process. Designers can maintain and communicate with different stakeholders within the smart service delivery process. The framework creates the systematic overview for smart service with the help of AI system.
Physiological Time Series Processing via Empirical Wavelet Transform

This paper presents the efficacy of empirical wavelet transform (EWT) for physiological time series processing. At first, EWT is applied to multivariate heterogeneous physiological time series. Secondly, EWT is used for the removal of fast temporal scales in multiscale entropy analysis. Empirical mode decomposition is an adaptive data analysis method in the sense that it does not require prior information about the signal statistics and tend to decompose a signal into various constituent modes. The utility of Standard EMD algorithm is however limited to single channel data as it suffers from the problems of mode alignment and mode mixing when applied channel wise for multivariate data. The standard EMD algorithm was extended to multivariate Empirical mode decomposition (MEMD) that can be used analyze a multivariate data. The MEMD can only be applied to multivariate data in which all the channels have equal data length. EWT is another adaptive technique for mode extraction in a signal using empirical scaling and wavelet functions. The multiscale entropy (MSE) algorithm is generally used to quantify the complexity of a time series. The original MSE approach utilizes a coarse-graining process for the removal of fast temporal scales in a time series which is equivalent to applying a finite impulse response (FIR) moving average filter. In Refined Multiscale entropy (RMSE), the FIR filter was replaced with a low pass Butterworth filter which exhibits a better frequency response than that of a FIR filter. In this paper we have presented a new approach for the removal of fast temporal scales based on empirical wavelet transform. The empirical wavelet transform is also used as an innovative filtering approach in multiscale entropy analysis.
Desarrollo de competencias transmedia en estudiantes de bachillerato

The objective of this article is to present a synthesis of one of the results, a product of the research project called “Transmedia Education; transmedia competences and informal learning strategies of adolescents “, carried out by teachers of the National University of Education (UNAE), which was developed in the educational units of zone 6 of education in Ecuador, where it was possible to determine the development of transmedia competences and the informal learning acquired by high school students of the Ecuadorian educational system.
COAR 2019 ORCID in repositories

Presentation about the work of the ORCID in Repositories Task Force during 2018-19 given at the 2019 COAR annual meeting https://www.coar-repositories.org/community/events/coar-annual-meeting-2019/
Conversational Agents for Intelligent Buildings

We will demonstrate a deployed conversational AI system that acts as a host of a smart-building on a university campus. The system combines open-domain social conversation with task-based conversation regarding navigation in the building, live resource updates (e.g. available computers) and events in the building. We are able to demonstrate the system on several platforms: Google Home devices, Android phones, and a Furhat robot.
Teacher’s publication activity as a guidance on scientific research competence in the system of continuous pedagogical education

The teacher’s scientific and publication activity develops not only his professional skills, but also the quality of education in general, therefore, research on this topic is currently relevant. The author reveals the place and role of research competence as a component in the structure of the teacher’s publication in school, substantiating the need to build constructive conditions for the teacher’s scientific work in the general education system. In the process of research, a system of empirical methods was applied - the monitoring results “Belogord’ye Graduate. Teacher of the Belgorod region”. The purpose of this project is to determine the position of teachers of the Belgorod region to participate in scientific and publishing work. The article gives suggestions on the formation of scientific and publishing competence of the teachers of general educational institutions.
MAKERS COMMUNITIES NO CONTEXTO DA EDUCAÇÃO 4.0: Uma revisão integrativa da literatura

With the prospect of succeeding in the face of the challenges of the 21st century promoted by Industria 4.0, companies are driven to reach a new market profile. Based on this premise, this article aims to identify the contribution of the maker communities in the context of education 4.0. An education that accompanies market changes, with new educational models through the maker movement in the generation of knowledge. In order to reach the proposed objective, a qualitative, exploratory and descriptive research was carried out, through an integrative review of the literature, enabling a theoretical framework allowing an analysis of empirical and theoretical knowledge. It is concluded that the maker communities allow an education 4.0, aiming to awaken essential characteristics for the professional of the XXI century.
Prototipe Alat Pengusir Burung Pada Gedung Berbasis Internet of Things Menggunakan Sensor RCWL

Sound disturbance and bird droppings in buildings are a problem for building managers. Bird droppings are quite difficult to remove and cause damage to the walls and aesthetics, especially the trend in the use of building roofs as a rooftop for productive activities. This study proposes the use of RCWL motion sensors for motion detection and the resulting output is the sound of eagles from speakers and ultrasonic speakers. The tool was developed based on internet of things using an arduino nano ATMega 328 microcontroller, connection and data transmission using SIM800L and GSM modules and power supply using a solar panel power bank. The test results show that the RCWL motion sensor is quite optimal in the detection of more than or equal to 3 birds. Sound output and the resulting waves are able to prevent birds from alighting and nesting.
Deriving Mixture Distributions Through Moment-Generating Functions

This article aims to make use of moment-generating functions (mgfs) to derive the density of mixture distributions from hierarchical models.When the mgf of a mixture distribution doesn't exist, one can extend the approach to characteristic functions to derive the mixture density.This article uses a result given by E.
Editorial IETI 57/5

In this issue of IETI two papers from Spanish institutions look at strategies for student engagement. First, to enhance the teaching of statistics, de la Torre and Berbegal-Mirabent (Universidad Pu...
Análise cientométrica sobre a produção científica em meditação nos periódicos da Medicina

portuguesO estudo tem como objetivo geral analisar a insercao do tema Meditacao no nucleo de periodicos cientificos da area medica, referentes a cinco paises (Estados Unidos; Reino Unido (SCOPUS) e Inglaterra (Web of Science); India; Australia; e Canada) que lideram o ranking dessa producao cientifica, que se encontra indexada nas bases Web of Science e SCOPUS. Trata-se de um estudo cientometrico, descritivo, de abordagem quantitativa. O recorte temporal refere-se ao periodo de 2009 a 2018. A pesquisa analisou o nucleo de periodicos cientificos com relacao: ao impacto; a procedencia; a categoria de assuntos; e identificacao dos 15 titulos que mais publicaram sobre o tema. O resultado da pesquisa mostrou que esse nucleo e constituido por periodicos classificados em diversos assuntos da area medica, em ambas as bases. As especialidades que se destacaram foram: a Neurologia (Web of Science) e a Psiquiatria (SCOPUS). Em referencia ao impacto verificou-se que a maioria dos titulos e de alto impacto e de procedencia de paises da America do Norte e Europa. Acredita-se que esse estudo possa contribuir ao revelar padroes de comportamento, por meio dos estudos metricos, a respeito do canal formal utilizado por essa comunidade cientifica para publicar seus resultados de pesquisa. EnglishThe general objective of this study was to analyze the insertion of the theme Meditation at the core in scientific journals of the medical area, referring to the six countries (United States, United Kingdom, (SCOPUS) and England (Web of Science); India, Australia and Canada) that lead the ranking of that scientific production is indexed in the Web of Science and SCOPUS databases. This is a scientometric study, descriptive, with a quantitative approach, in the period from 2009 to 2018.The search analyzed the core in scientific journals with regard to the impact, origin, the subject category and the identification of the 15 titles that most published about the theme. The result of the research showed that the core consists of journals classified in different subjects in the medical field, in both databases. The specialties they highlighted were: Neurology (Web of Science) and Psychiatry, (SCOPUS). In reference to the impact, it was found that the majority of the titles are high impact and from countries in North America and Europe. This study can contribute to reveal patterns of behavior through metric studies, concerning to the formal channel used by that scientifical community to publish your search results.
LAPTOP SALES LEVEL USING THE K-MEANS CLUSTERING METHOD

Laptops are electronic products that have increased every month. The number of brands or types of product supply can affect people's purchasing power. In this case the shop must be selective in providing products. By utilizing the previous sales data history and using the K-means Clustering algorithm as a cluster or grouping of laptop sales, new knowledge is obtained in determining the brands or types that are in demand, selling well, and not selling well.
THE EFFECT OF USING TWO STAY TWO STRAY (TS-TS) TECHNIQUE TOWARD THE STUDENTS‟ READING COMPREHENSION OF NARRATIVE TEXT AT XI GRADE IN SMAN 2 KUOK KAMPAR REGENCY

The aim of this research is to find out the effectiveness of the use of two stay-two stray in teaching reading comprehension on narrative text. This research was conducted to the eleventhgrade students of SMAN 2 Kuok in academic year 2016/2017. In this research, a quasi-experimental research with post test only was used by the writer. The samples of this research were class XI IPA 1 as the control group and class XI IPS 1 as the experimental group. The data were collected through post-test by using multiple-choice test items. The items are thirty question. Based on the data analysis of the research showed that the average students post test in experimental class were 75.44, and in control class has average students post test were in post test 71.12. So, the difference average is 4.32. The researcher used t-test, the results of the average test calculation (t-test) tcount3,63 and ttable 1,68. Therefore, concluded that there was a positive effect in learning reading comprehension of narrative text by using Two Stay Two Stray in experimental class at XI grade of SMAN 2 Kuok than control class.
Game Development of “Kwace Adat Bali” for The Socialization of Balinese Traditional Dress-Up Ethics

Many young people have begun to violate the ethics of Balinese traditional dress up by using strict lacy blouse (kebaya), high split sarong (kamen), men sarong (kamen) that not taper on the tip and excessive accessories. Game of “Kwace Adat Bali” is expected as a means of socialization in Balinese traditional dress-up ethics appropriately. In this game, the Balinese traditional dress-up style is classified into three types, namely light traditional clothing (payas alit), middle traditional clothing (payas madya), and great traditional clothing (payas agung). The proposed method is Design Game Based-Learning Instructional Design (DGBL-ID) which is combined with a shuffle random algorithm to shuffle game items. The Game of “Kwace Adat Bali” has tested using alpha testing, beta testing, t-test, and game engagement questionnaire (GEQ). The alpha testing result was 100% game functionality has run suitable for the design. Beta testing shows that overall this game got a value of 77% from 65 respondents. There was a significant difference between user knowledge before and after playing the game of “Kwace Adat Bali” as indicated by t table value of 1.997, t value of 6.5, and the critical value of α = 0.05. The proposed method had an engagement rate of 8.7% higher than just using the DGBL-ID method in developing the game. Therefore, it can be concluded that the game feasible is considered as a new means of socialization in Balinese traditional dress up ethics for the younger generation.
4차 산업혁명 시대를 반영하는 2015 개정 영어 교육과정에 대한 교사와 학습자의 인식

This study aims at investigating whether the goal of the revised education system based on the 4th Industrial Revolution has been appropriately delivered, understood, and achieved by teachers and students through textbook analysis. A survey was undertaken to identify whether different perceptions exist between the teachers and students with regard to the goal of developing competencies in the revised English textbooks. According to the results, both teachers and students agreed that the aims of the revised English curriculum were fairly well established in the textbooks; however, there was a big gap between the two groups in the understanding of the revised curriculum reflected in the textbooks: the different aspects of the previous and current textbooks, the most reinforced part in the current textbooks, and the change of teaching methods. It is acknowledged that it is necessary to improve teachers’ and learners’ interest in and awareness of the revised curriculum reflecting the spirit of the 4th Industrial Revolution.