Reviewerly/exHarmony huggingface dataset:
Técnicas e práticas de jornalismo de dados para aquisição e gerenciamento de dados em MySQL aplicadas ao domínio da violência contra a mulher

The Regional School of Information Systems of the state of Rio de Janeiro (ERSI-RJ) is an event that brings together professionals, teachers, and students interested in learning and discussing problems, solutions, and concepts related to information systems. ERSI-RJ mini-courses are short-term activities (four hours long) that are part of the ERSI-RJ program. They address issues related to information systems with the aim of providing the public an environment of learning and discussion of issues such as trends and challenges in the information systems area. In 2020, the ERSI-RJ was canceled because of the SAR-COV-2 pandemic. From all of the submissions for this year (2021), six mini-courses were chosen. Besides, two other submitted proposals were selected to be added as chapters of this book. A group of professionals and professors reviewed the mini-course proposals and selected the best ones. The committee members weighed in on the proposals and chose the finest ones. The selection criteria were: relevance to the event, audience expectation, timeliness and content. This book covers: the concepts and ways of detecting fake news in digital news media; an organizational modeling language that addresses the topic of competency-based human resource strategy and alignment; the use of simple language to support transparency and the development of best practices for digital transformation; the practice of data management in the field of data journalism; the introduction to game projects with educational purposes, which includes a canvas for Endogenous Educational Game Design; the concepts, definitions, applications, and research on Ethics in the information systems area; the main protocols of the Internet of Things' application layer, with a practical emphasis on the CoAP and MQTT protocols; and an example of treatment, correlation, and reducement of trends and seasonality of data by using R to analyze data about COVID-19 and public transport in Rio de Janeiro city. We believe this material will be useful for information systems classes and for supporting discussions, research, and professional practice. We congratulate and thank the authors of the chapters. We also thank the Selection Committee for their dedication and efficiency; the Editorial Committee for their effort; and the CESI (Special Committee on Information Systems) of SBC for this publication's support. Finally, the book's cover was designed by Matheus Nunes Ritton, a graduate student in information systems at the Universidade Federal Rural do Rio de Janeiro. This is his second time working on the ERSI-RJ minicourse book covers.
Large-scale reconfigurable continuously-coupled integrated optical circuits for photonic quantum information processing

Quantum photonic platforms are emerging as the most promising to prove a computational advantage. Here we present a novel reconfigurable integrated interferometer for large-scale implementation of Boson Sampling based on the continuous coupling of waveguides.
Application domain ontology-based transformation to database design

The paper analyses graph oriented ontology transformation into conceptual data model. A number of methodswere proposed to develop conceptual datamodels, but only fewdealswith knowledge reuse. In this paperwe present an approach for knowledge represented by ontology automatic transformation into conceptual data model. The graph transformation language is presented and adapted for formal transformation of ontology into conceptualmodel. Details and examples of proposed ontology transformation into conceptual data model are presented.
Using Dictation Techniques to Improve the Eighth-Grade Students’ Listening Comprehension Achievement at SMPN 35 Surabaya

Dictation is an ancient technique in teaching language becoming one of interesting ways to improve the students’ listening comprehension proposed by Davis &amp; Rinvolucri (1988). This study was aimed to solve the students’ listening comprehension achievement by using dictation techniques as a technique in teaching listening at SMPN 35 Surabaya in the academic year 2020/2021. Classroom Action Research (CAR) was applied in this study in two cycles. In this classroom action research, the technique was divided into note taking and partial dictation. The primary data about students listening achievement were gained from the listening test. Meanwhile, the supporting data were gathered from observation and documentation. The results on students’ activity showed the use of text dictation techniques could improve the eighth-grade students’ activity in listening. Furthermore, In the first cycle of the test’ result, the teaching listening activity was not so good as what was expected. On the average, the percentage of the students’ involvement in the process of teaching listening was only 45% in the first meeting and 50% in the second meeting. But, in the second cycle the percentage of students’ involvement in the process of teaching listening increased from 77% in the first meeting to 80% in the second meeting. This improvement happened because of some revision, they were; choosing the text with familiar story for the students, reading the text more clearly, turning up the volume, and using more gestures in teaching listening technique
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector

Recently, sparsity-based feature selection has gained much attention due to its good performance and potentially high interpretability. Most existing sparsity-based approaches rank original features based on their coefficients. The ranking mechanism requires a pre-defined number of selected features which is usually unknown. It also introduces a risk of selecting top-ranked but redundant features. In this paper, we address the above issues by proposing a dual-component vector in which one component represents coefficients of features, and the other component determines the decisions (selected/discarded) of features. While the former exposes relevant features with high coefficients, the latter automatically defines the number of selected features and avoids selecting redundant features. The dual-component vector is optimised by a population-based optimisation approach utilising simple vector operations (addition/subtraction) which are much more efficient than complex matrix operations (multiplication/inverse) used by existing sparsity-based approaches. Extensive experiments conducted on synthetic and real-world datasets demonstrate the superiority of the proposed algorithm in terms of effectiveness and efficiency compared with well-known and state-of-the-art feature selection approaches.
A Literature Review on Exercise Self-Efficacy Instruments for Japanese Immigrants

Purpose: The purpose of this study was to identify current Japanese version of exercise self-efficacy instruments for measuring the exercise self-efficacy of Japanese immigrants in South Korea and evaluate their measurement properties. Methods: This study used a literature review on the measurement properties of exercise self-efficacy instruments. The PubMed, Embase, and CINAHL databases were searched from their inception to 19th July 2021 for related articles. Results: Two instruments were identified via the database search. Both were developed based using Bandura’s self-efficacy as the theoretical background. Overall, both instruments appeared to present adequate evidence for internal consistency and structural validity. Hypotheses testing for construct validity was verified for only one instrument. However, the test-retest lacked evidence for adequacy concerning the time interval. More importantly, content validity was not evaluated during the development of either instruments. Conclusion: We could not identify an instrument with sufficient validity and reliability to measure the exercise self-efficacy of Japanese immigrants in South Korea. In the future, the content validity of the two identified instruments must be evaluated by an expert panel and for and by the target population.
ANALYSIS OF INTERNET RESOURCES FOR LEARNING UKRAINIAN AS A FOREIGN LANGUAGE

The article analyzes the issues of teaching Ukrainian as a foreign language, discusses the problems that students face when learning a language.The advantages (formation of reading skills, use of materials of varying degrees of complexity, improvement of listening skills, monologue and dialogic speech, replenishment of vocabulary) and disadvantages (technical psychological) use of Internet resources are outlined.An attempt was made to structure the Internet resources into groups (mobile applications for learning the Ukrainian language, free online courses, online platforms, websites, YouTube channels, pages on social networks, online forums), specified e-mail addresses to access them.The effectiveness of studying the Ukrainian condition by foreign students directly depends on the use of additional sources of information.The article states that оne of the most important key characteristics of a world-class university, reflecting its success in the global market for educational services, is the presence of a critical mass (a significant proportion) of international students and graduate students.The proportion of foreign students as one of the indicators of the internationalization of the institution is used in the calculation of the known world rankings of QS World University Rankings and Times University Ranking US, UK, Western European universities, ranking in the list of the best universities in the world according to the results of global studies are distinguished by a large number of international students is an urgent task at the present stage of development of the national education system.In addition to the economic benefits, teaching foreign students in Ukraine is of strategic importance -thanks to the training of the intellectual elite and the spread of the Ukrainian language and culture, Ukraine's international influence in the world community is growing.According to Article 7 of the Law on Education No. 3491-e, teaching foreign language to foreign students is now a prerequisite for obtaining higher education by foreign students at higher educational establishments (universities) of Ukraine.
Risk and Return Characteristics of Cryptocurrencies: An Estimation of the Volatility Parameters

Crypto currency is a type of virtual or digital currency. The security of cryptocurrency is secured by cryptography, which makes it almost impossible to counterfeit or double-spend. The main objective of this article is to find out the correlation between Cryptocurrency Index and S&amp;P500, Gold, BSE SENSEX.
Enhancement of 3D Point Cloud Contents Using 2D Image Super Resolution Network

Media technology has been developed to give users a sense of immersion. Recent media using 3D spatial data, such as augmented reality and virtual reality, has attracted attention. A point cloud is a data format that consists of a number of points, and thus can express 3D media using coordinates and color information for each point. Since a point cloud has a larger capacity than 2D images, a technology to compress the point cloud is required, i.e., standardized in the international standard organization MPEG as a video-based point cloud compression (V-PCC). V-PCC decomposes 3D point cloud data into 2D patches along orthogonal directions, and those patches are placed into a 2D image sequence, and then compressed using existing 2D video codecs. However, data loss may occur while converting a 3D point cloud into a 2D image sequence and encoding this sequence using a legacy video codec. This data loss can cause deterioration in the quality of a reconstructed point cloud. This paper proposed a method of enhancing a reconstructed point cloud by applying a super resolution network to the 2D patch image sequence of a 3D point cloud.
Designing a Poultry Barn: A Collaborative Design Approach Using Virtual Reality

Visualizing a new design in Virtual Reality (VR) is now a part of product development pipeline in several industries.Several researchers have demonstrated attaining higher level of immersion by creating photoreal virtual environments and by using advanced devices which are now available in the market to get higher level of tracking accuracy and higher degree of interaction.In this work, we have explored the possibility of using the VR technology during the design phase with a multidisciplinary approach.Through this work, we have demonstrated that a regular Head Mounted Display (HMD) which lacks several features when compared to the pricier ones is sufficient for product development and visualization.Using VR, we even managed to design the building which will house the product that we developed.We have chosen a poultry farm that breeds chickens for this study and solved their problem of repetitive manual work by designing an automated feeding system.We manged to all this with the same virtual environment that we have developed for the purpose of this study.
Crowdsourcing Software Vulnerability Discovery: Models, Dimensions, and Directions

Software systems prove indispensable amongst a variety of fields. With our increasing reliance on them coupled with their heightened complexity, the demand for protection increases as well. In this article, we explore how crowdsourcing could be used for vulnerability discovery. We examine the models of crowdsourcing that has been applied in vulnerability discovery, identify dimensions of this crowdsourced task, and discuss applicable concerns and future research directions.
Perancangan E-Modul “ALKI” Pada Mata Pelajaran Kimia Bagi Siswa Kelas X Berbasis Mobile di SMAN 1 Mapat Tunggul

ALKI is an e-module that serves as a learning medium for grade X students majoring in MIA at SMAN 1 MAPAT TUNGGUL. E-module ALKI was created with the aim of assisting teachers in delivering materials and helping students understand more about chemical materials by repeating lessons, working on exercises, and strengthening memory by playing flashcards. The thing behind the design of alki e-module is the lack of motivation to learn students, difficulty and the absence of internet network in Mapat Tunggul area, students should not take home the package book, the smartphone owned by students is not used to study, and when doing homework with the help of the internet most students just copy the answer without understanding the origin of the answer. This research method is Research and Development (R&amp;D) with a 4-D research model (four-D) that is with define, Design, Development, and Disseminate stages. In the Development stage, the development stage of ALKI e-module media is carried out. The media development model used in this study is MDLC(Multimedia Development Life Cycle) luther-sutopo version which consists of 6 stages, namely conception, design, material collection, manufacturing process, testing and distribution. The result of the research is a mobile-based ALKI e-module product. With 0.81 validity test results declared valid,0.93 Practicality test results are practiced very practically,and 0.80 effectiveness test results are declared very effective. So, it can be concluded that alki e-module based on mobile application as a learning medium has been valid, practical and effective.
THE TECHNOLOGY AND TOOLS FOR THE BUILDING OF INFORMATION EXCHANGE PACKAGE BASED ON SEMANTIC DOMAIN MODEL

This paper presents the technology developed by the authors with the aim to improve the semantic interoperability in heterogeneous environment, where the systems use web-services orchestrated by an object-oriented exchange bus for cross-agency interaction and information sharing. The suggested solution, including the set of tools, allows to map the models of interacting information systems with aunified data model (domain otology) on the semantic level during the development of an information exchange package.
Estonian Internet voting with anonymous credentials

The Estonian Internet voting (EIV) scheme is a unique example of a long-term nation-wide, legally binding electronic voting deployment. The EIV scheme is used in parallel with standard paper-based election day voting, of course invalidating an already cast i-vote. This necessarily requires careful authentication of the eligible voters and makes the Estonian identity card solution a crucial part of the scheme, however, note that Parsovs has recently drawn attention to the security flaws found in Estonian ID-cards. In this study, we propose an e-voting scheme EIV-AC that integrates the EIV scheme with anonymous credentials based on self-sovereign identity. In addition to the EIV scheme's security properties, the EIV-AC scheme further supports participation privacy, i.e. whether or not an eligible voter has participated in an election is kept hidden - also from the election authorities.
Foreword

In the spirit of “multi-culturalism”, we use four kinds of computations: simulation, numeric, symbolic, and “conceptual”, to explore some “games of pure chance” inspired by children board games like “Snakes and Ladders” (aka “Chutes and Ladders”) and “gambler's ruin with unlimited credit”. Even more interesting than the many computer-generated specific results described in this paper and its web-site extension, is our broad-minded, ecumenical approach, not favoring, a priori, any one of the above four kinds of computation, but showing that, a posteriori, symbolic computation is the most important one, since (except for simulation) numerics can be made more efficient with the help of symbolics (in the “downward” direction), and, (in the “upward” direction) the mere existence of certain symbolic-computational algorithms imply interesting “qualitative” results, that certain numbers are always rational, or always algebraic, and certain sequences are always polynomial, or C-recursive, or algebraic, or holonomic. This article is accompanied by four Maple packages, and numerous input and output files, that readers can use as templates for their own investigations.
SELF-ACCEPTANCE AS A PERSONAL RESOURCE OF RESILIENCY

The article provides a brief theoretical review of domestic research on resiliency. It focuses on the study of resiliency from the perspective of the subject approach, and defines the criteria for the resiliency of the subject. Scientific approaches to the study of the concept of "personal resources" are considered. The author assumes the presence of personal characteristics that are the resources of the subject's resiliency. The problem of the phenomenon of self-acceptance as a subject characteristic is discussed. The analysis of scientific approaches allows us to conclude that self-acceptance by activating the processes of self-knowledge, initiating mechanisms of self-regulation, has a stable positive impact on maintaining the subject's resiliency, which is manifested in a person's desire for self-improvement, self-actualization, and achievement of goals.
Penerapan Data Mining Untuk Analisa Pola Pembelian Produk Menggunakan Algoritma Frequent Pattern – Growth

An important aspect of a sales business is the pattern of product purchases, which is one of the supporting factors for increasing revenue, as well as customer arrivals. To find out all aspects of a good buying model, it is measured based on products that customers often buy, products purchased at the same time, usage based on these products, and the relationship between each product. One place of business that seeks to develop a business strategy by using a product purchase pattern is the Avindo Motor Shop. Competition in the business world requires Avindo Motor to improve the quality of sales using a method or method so that what goods are usually purchased by customers can be known. In a day Avindo Motor is not deserted by buyers to make transactions, the resulting transaction data can reach hundreds so that every day the purchase of data. The stages of this research are the literature study stage, data collection stage, data management with data mining, results analysis stage, and presentation stage. From the discussion that the researcher has done, it can be concluded that to determine the pattern of purchasing products using Frequent Pattern Growth has been successfully carried out, and an association rule has been determined at the Avindo Motor store, such as if you buy nuts you will buy clips, if you buy inner tubes you will buy nuts and if you buy an inner tube, you will buy a clip.
Panel: The Version of Record - an Anchor for Innovation Upstream and Downstream

The APE Conferences aim to provide a better understanding of scholarly communication and the role of information in science, education and society. They encourage debate about the future of value-added scientific publishing, information dissemination and access to scientific results and offer an independent forum for open discourse.
Labforward.io

Thank you for attending APE 2021! The content for APE will become available over the next few days after post-conference processing for audio and visual quality has been completed. Please check back next week. The First Publishing Event in the New Year! Full Unlimited Online Coverage! Was that the real beginning of the new 21st Century? Global challenges changing lives on a scale never seen before – a global pandemic, ferocious evidence of climate change and biodiversity loss, and cyber warfare influencing global leadership against a backdrop where evidence and experts are increasingly discounted in place of tribes with their own truths. Research is increasingly having to step up to meet global challenges and we need robust responses to reclaim trust in both scholarly publishing and the expertise of researchers as we map the path to the future. Covid-19 stress-tested scholarly communication and there’s room for improvement but also inspiration for change. A changing world has led to new solutions and new players – but are they robust and tested for long-term trust? Pre-prints proved a rapid way to communicate potentially crucial findings in a crisis but is the world ready to understand the implications of reading un-tested research? Peer review, the bastion of trusted science, is under scrutiny from those within and outside research and with calls for transparency and openness in science, where next for dissemination of research findings? 2021 is the start of a very new and very different period in history and we come together with purpose and a collaborative spirit. [View the Full Program](https://www.ape2021.eu/full-program/program)
Psychometric Assessment Standards Based on the «Performance Based Assessment» Methodology

The relevance of the study is due to the fact that there has been a request for a comprehensive assessment of knowledge and skills based on the methodology of competency-based assignments, which consists in a performance-based assessment. In the article, the author presents the psychometric standards and recommendations existing in foreign practice that are necessary for a fair, reliable and objective assessment of the learning outcomes of company employees. The purpose of the work is to study existing standards and recommendations for assessing learning outcomes in the KPI system. The empirical basis of the study was the data of the International Test Commission; British Psychological Society – British Psychological Society, BPS and others. The author analyzes the empirical base of the research and systematizes the existing standards and recommendations for assessing testing. The practical significance of the research results lies in the fact that, given the challenges and demands of the modern world, most organizations will allow them to form a systemic development of the measurement process and quickly respond to new challenges that arise before psychometrics.