Reviewerly/exHarmony huggingface dataset:
CyExec - Training Platform for Cybersecurity Education Based on a Virtual Environment

In this paper, we propose the CyExec, an effective cybersecurity training platform in a attacks, are increasing rapidly, and a large number of cybersecurity incidents are frequently occurring. On the other hand, capable personnel is much lacking, becoming an urgent issue that strengthens the systematic human resource development cultivating capabilities for cybersecurity activities. Only a few parts of universities and companies in Japan are conducting education using an effective training system on the market because of expensive and difficult to use that adopted and operation the training system like Cyber Range in higher education institutions and SMEs. On this account, we developed a virtual environment named Cyber Security Exercises (CyExec) system utilizing VirtualBox and Docker to enforce practical cybersecurity exercises cost-effectively and flexibly. In our proposal, we imported the implementation of the OSS vulnerability diagnosis in our system, and developed and implemented a cyberattack and defense training program based on the WebGoat that cybersecurity training system program.
Book Club Discussion: An Extensive Reading Program in Writing Class

Extensive reading was an approach when the readers read extensively. They read a lot of materials then get enjoyment in the process of reading. The purpose of this research was to describe the process of implementing extensive reading program by using book club discussion in writing class. This research was done on first semester of academic writing students. It was about 20 students. The result showed that the implementation of book club discussion did not only give positive trend to students’ reading ability but also their writing ability. Extensive reading program build students’ vocabulary and grammar. Furthermore, during the implementation of this program they learnt a lot about process of writing particularly in making a summary. Finally, extensive reading program made gain for students’ vocabulary, grammar, and writing.&#x0D; Keywords: Exstensive Rading Program, Book Club Discussion, Writing Class
Don’t feed the trolls?

This study applies the concepts of interpretive communities and conversational interactions to show how investigative journalists initiated a relatively new method of reporting and generated support among their colleagues for becoming anti-Nazi activists and troll hunters. It draws on a sample of journalistic reporting and related media items to examine investigative reporters’ self-reflexive acts and the responses of journalism communities in Australia, the United Kingdom and the United States from 2015 to 2020. Investigative journalists initiated open conversations to show that they were enthusiastic activists in retweeting, confronting and quoting neo-Nazi trolling by interviewing the perpetrators. Other journalism communities signified they were pursuing activist-like agendas as they magnified this work through informal networks, social media and news commentaries. Journalists reconsidered their professional boundaries to allow for cooperative conversations about their experiences in a fresh effort to denounce hate speech and begin collective initiatives to enhance social cohesion in civil society.
Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder

We introduce a method that transforms a rulebased relation extraction (RE) classifier into a neural one such that both interpretability and performance are achieved.Our approach jointly trains a RE classifier with a decoder that generates explanations for these extractions, using as sole supervision a set of rules that match these relations.Our evaluation on the TACRED dataset shows that our neural RE classifier outperforms the rule-based one we started from by 9 F1 points; our decoder generates explanations with a high BLEU score of over 90%; and, the joint learning improves the performance of both the classifier and decoder.
Agile Methodology for Product Development A Conceptual Study

Agile is a software development life cycle (SDLC) methodology that is based on smarter and faster operating principles and techniques. The paper aims to review the agile processes, principles, characteristics, and frameworks for the continuous development of the product while controlling the integration, scope, schedule, cost, quality, resources, risk, procurement, and stakeholder management. Traditional product development methods are not much efficient to adjust the rapid changes of the requirements and provide quality products to the stakeholders. Using agile frameworks, the software development team, customers, and team leaders work more closely to produce high-quality products responding to the changes rapidly. This paper will also present the background analysis of the agile manifesto and will serve as a guide to indicate the characteristics and framework of Agile which places customer satisfaction at the highest priority. Additionally, it will focus on the advantages and disadvantages of the agile projects for faster and frequent delivery of the development.
Education Budget Management, New Public Management and the COVID-19 Pandemic

This paper aims to describe the management of education budget in a private school during the pandemic and how the New Public Management sight. How do a private school with very limited budget resources during the pandemic survives and controls spending with minimal amounts of income and how the New Public Management concept views the Education Budget management process in a private school seen from the government's role in helping schools meet their budget needs. This study had been observed in Muhammadiyah Vocational High School in Purwokerto used a qualitative perspective and deep interviews to collect the information. The result of this research is the private school with limited funding sources has an ability to apply the new public management concept and the government as the provider of development funding assistance made this school could compete with other private schools and public schools, moreover, the school is able to manage a limited education budget during a pandemic.
Fabula Entropy Indexing: Objective Measures of Story Coherence

Automated story generation remains a difficult area of research because it lacks strong objective measures.Generated stories may be linguistically sound, but in many cases suffer poor narrative coherence required for a compelling, logically-sound story.To address this, we present Fabula Entropy Indexing (FEI), an evaluation method to assess story coherence by measuring the degree to which human participants agree with each other when answering true/false questions about stories.We devise two theoretically grounded measures of reader question-answering entropy, the entropy of world coherence (EWC), and the entropy of transitional coherence (ETC), focusing on global and local coherence, respectively.We evaluate these metrics by testing them on human-written stories and comparing against the same stories that have been corrupted to introduce incoherencies.We show that in these controlled studies, our entropy indices provide a reliable objective measure of story coherence.
Herramientas Digitales para el Desarrollo de la Comprensión Lectora en la Educación a Distancia

Objective. To determine the influence of digital tools on the development of reading comprehension in students of the second grade of secondary level, of the Ramón Castilla School of the district of Chuschi, in the remote education modality, 2020. Methods. The research was developed from the quantitative, explanatory type and experimental design in its quasi-experimental aspect. The sample, extracted from an intentional non-probabilistic sample, was made up of 32 students from sections A and B. The instrument used to collect the data consisted of a standardized test. Results. The participation of the 16 students of the experimental group, after the pre and post-test, showed that 7 (43.8%) students were placed in the level of achievement; 6 (37.5%), in process; 3 (18.8%), in outstanding achievement and 0 (0.0%), in initiation. After the hypothesis test using the Mann-Whitney U statistician, a significance value of 0.002 was obtained which is less than 0.05; it was shown that, at 95% reliability, digital tools influence reading comprehension. Conclusions. The study concludes that digital tools significantly influence the development of reading comprehension in students of the second grade of secondary level of the Ramón Castilla School of the district of Chuschi, in the remote education modality, 2020.
On the Effect of Typing Hand on Mobile-based Keystroke Dynamics

With the proliferation of mobile devices, access control enabled by biometrics is going to be an indispensable function.In this study, we consider mobile biometrics based on touchscreen based keystrokes.Although the general topic of keystroke dynamics have been well studied, touchscreen based keystrokes remains challenging and relatively new.Few studies evaluate the effect of typing hand on mobile biometrics.We therefore set out to formalize the problem and explore a family of solutions based on keystrokes and typing hand, which can be left hand, right hand, or both hand.We address open questions such as: the effect of typing hand on touchscreen keystrokes, whether or not the knowledge of typing hand is important, and the effect of user-specific score normalisation on the performance.
THE DEVELOPMENT OF INTERACTIVE MODULE TO SUPPORT STUDENT CENTERED LEARNING

This study aims to develop an interactive module that supports student-centered learning and test the feasibility and the response of students to the interactive module. The product development stages use the Analyze, Design, Development, Implementation, and Evaluation procedure. The validation of the developed products was carried out by two material experts and two media experts. Products that have been revised and get a proper assessment are tested out in small groups consisting of 5 teachers and tested in large groups consisting of 30 students. The results show that the interactive module as a support for Student Centered Learning is very good and feasible to use. This is based on the results of the validation of material experts which show the percentage of the feasibility level of 95% and the results of the validation of the media experts show the percentage of the feasibility level of 80%, while the small group trials and large group trials show the percentage of the feasibility level of 87% and 86% respectively. Meaning that it is in the very feasible category.
The Use Of Vr-Technologies In Humanities Education At School

This article discusses the problem of forming an idea about the possibilities and limitations of introducing virtual reality into the educational process for teachers of the humanities.Since the experience of using visualization is more elaborated and organically fits into the teaching of natural sciences, special attention is paid to understanding the differences and the specifics of these areas in the field of goals and methods of using virtual reality.Methods of analysis of pedagogical literature on research issues, experiment and polling method were used.The study was conducted in February-March 2020.Teachers (N = 44) took part in the study, teaching History, Russian, Foreign languages, Literature and other subjects in the cities of Veliky Novgorod, Vyksa, Pavlovo, Nizhny Novgorod, Moscow, Prokopyevsk at the levels of primary and secondary general education.The article analyzes the guidelines of modern visualistics to include them in the target part of the lesson development.The study revealed that in general, teachers positively assess opportunities, especially for project activities.Despite the abundance of existing platforms and programs, even teachers who positively assess the capabilities of VR for conducting lessons know few (14%), suitable for their subject, and 68% do not know the content as a whole.The article describes the authors' experience in using VR in educational activities, which can serve as a primary guide for teachers in setting goals and identifying the first steps to introduce technology into the educational process.
Error Causal inference for Multi-Fusion models

In this paper, we propose an error causal inference method that could be used for finding dominant features for a faulty instance under a well-trained multi-modality input model, which could apply to any testing instance.We evaluate our method using a well-trained multimodalities stylish caption generation model and find those causal inferences that could provide us the insights for next step optimization.
Competence development strategies for youth workers

The article examines the strategic directions of the competence development of specialists in work with youth, determined by modern trends in the development of society and the state's requests for organizing activities with youth. It is shown that, since young people, as one of the most problematic and socially vulnerable groups of the population, require appropriate organization of activities aimed at the formation of their socially significant needs, trajectories of self-improvement and self-realization, the development of their creative potential in the interests of society and the state, a professional standard of a specialist in work with youth. The target guidelines of this professional standard are given, the possibilities of additional educational content for specialists in working with youth, applying for the position of adviser to the head of an educational organization for educational work and work with children's associations, are considered. The most promising areas of competence development of a specialist related to improving knowledge and skills in the field of youth policy, socio-psychological development of the modern digital generation, gamification of the educational process, project activities are indicated. In the content of additional education, an emphasis is needed on the problems of cyber socialization, the peculiarities of socialization of urbanized youth, and knowledge of young science. It is shown that for a specialist developing a strategy for educational work, modern knowledge about the neurocognitivefeatures of the digital generation is also needed, associated with such a conceptual series as web surfing, selective visual attention, clip thinking, simultaneous perception, and transactive memory. Along with the neurocognitive features of the digital generation, it has a special value-semantic perception of information and reality, which should also be taken into account in the competence development of specialists in the field of working with youth, applying for new positions in the education system.
An Experimental Study: Multimedia Reading Materials on Teaching Reading Comprehension

The main focus of this research is to investigate whether there was a significant effect of using Multimedia Reading Materials on students’ reading comprehension of narrative text at SMA Negeri 12 Pekanbaru. This research had two variables, Multimedia Reading Materials as an independent variable and students’ reading comprehension as a dependent variable. This research was a quasi-experimental research. The writer selected two classes from total eleven classes by using cluster random sampling technique: experimental and control class. There were 70 students as sample out of 391 students. In collecting the data, the writer used multiple choice and short-answer question test. In analyzing the data, the writer used independent sample t-test formula calculated by using SPSS 25 version continued by using eta-square formula. Based on the analysis of t-test Formula, the sig. value is 0.000. It could be stated that 0.000&lt;0.05. Then, the effect size is 0.41 categorized into moderate level. The writer concluded that there is significant effect of using Multimedia Reading Materials on students’ reading comprehension of narrative text at SMA Negeri 12 Pekanbaru. And the biggest effect was occurred on the fourth component of reading comprehension that is identifying the meaning of words where the effect size is 0.14 categorized into large effect.
The use of English Conversation Journal (ECJ) to improve students’ speaking performance in business English communication

This experimental research was intended to make an analysis and assessment toward the use of English Conversation Journal (ECJ) whether it is effective to improve students’ speaking performance in Business English Communication or not. The objectives of this study were to find out whether there are any significant differences between students who are taught by using ECJ and without ECJ in terms of students’ speaking performance in Business English Communication. The Researcher employed quantitative research with two groups consisting of pre-test and post-test groups through random sampling where Office Management students (OM-35) as control class and (OM-36) as experimental class. The result revealed that the mean difference is 11.75. It showed that the average result of students’ deviation score in Control and Experiment groups was 69.50-81.25=-11.75. In other words, there are significant differences in students’ Speaking Performance in Business English Communication between those who were taught by using English Conversation Journal (ECJ) and those who were not. Therefore, improving student’s speaking performance in Business English Communication by using English Conversation Journal (ECJ) can be an alternative in teaching and learning process.
The Achievement of National Education Standard of Private Senior High School of Rural Area

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Ensemble of MRR and NDCG models for Visual Dialog

Assessing an AI agent that can converse in human language and understand visual content is challenging.Generation metrics, such as BLEU scores favor correct syntax over semantics.Hence a discriminative approach is often used, where an agent ranks a set of candidate options.The mean reciprocal rank (MRR) metric evaluates the model performance by taking into account the rank of a single humanderived answer.This approach, however, raises a new challenge: the ambiguity and synonymy of answers, for instance, semantic equivalence (e.g., 'yeah' and 'yes').To address this, the normalized discounted cumulative gain (NDCG) metric has been used to capture the relevance of all the correct answers via dense annotations.However, the NDCG metric favors the usually applicable uncertain answers such as 'I don't know.' Crafting a model that excels on both MRR and NDCG metrics is challenging (Murahari et al., 2020).Ideally, an AI agent should answer a human-like reply and validate the correctness of any answer.To address this issue, we describe a twostep non-parametric ranking approach that can merge strong MRR and NDCG models.Using our approach, we manage to keep most MRR state-of-the-art performance (70.41% vs. 71.24%)and the NDCG state-of-the-art performance (72.16% vs. 75.35%).Moreover, our approach won the recent Visual Dialog 2020 challenge.
The Influence of the Developed Specific Multi-Paradigm Programming in Digital Logic Education

This article introduces the possible usage of the developed programming discourse that can be used to support training in the digital logic area. The discourse merges several programming paradigms into one solution. The intended learners are secondary school students focused on digital system programming. The main intent is to find out whether digital logic curriculum based on Digital Circuits Based Logical Programming (DCBLP) inheritance has positive impact on the students and the way they explore the digital logic itself. Students’ cognitive and affective areas are in the scope of this preliminary research and questionnaires and cognitive tests will help to support the research. Experimental and control groups were used to gather relevant records. To analyse and support the interpretation of the data gathered by questionnaires, the chi-square test (two-tailed) has been used. ANOVA has been used to evaluate data for the achievement test results. The preliminary research revealed there is a possibility of using developed programming discourse DCBLP in digital logic training. Students claim overall usefulness of the discourse in the training; the strong motivation power of the programming discourse itself has not been discovered. From the test we conclude that the performance of the students trained using new programming discourse is significantly better. It is possible to use more different programming paradigms, such as imperative and declarative, in one solution to support training in the area of digital logic. Such solutions can enhance the way the students deal with the programming languages and also supports interdisciplinary relationships.
Mobile Augmented Reality for Campus Visualization Using Markerless Tracking in an Indonesian Private University

&lt;p&gt;Marker in augmented reality plays a major part to initiate a virtual object in an augmented environment. Choosing a correct and reliable marker would increase the chance of creating a more stable augmented object especially for visualizing a building structure. Unfortunately, most research on visualizing building structure uses a marker-based tracking approach where users must always bring a pre-printed paper as a tracking media. This creates a problem for every time users demonstrate a specific augmented structure object, they still need to bring a printed marker to show the augmented object. The purpose of this research is to investigate the applicability of markerless-based tracking as a solution whether it can substitute the marker-based tracking on augmented reality problems. Simultaneous Localization and Mapping (SLAM) is used as a markerless tracking method where it tracked and mapped the surface environment using feature extraction, then set an anchor at the specified location where the augmented object visualization appears. The results of the research found that from a total of 30 object detection tests, 21 objects are successfully detected and 9 undetected objects, this shows that markerless-based tracking is applicable and can substitute marker-based tracking for a structural campus visualization.&lt;/p&gt;
Public Accounts Of Chinese Literary Magazines On The Wechat Communication Resource

An analysis of the public account of Chinese literary magazines on WeChat is presented.The expediency of using such resources in print media is emphasized, their capabilities and advantages are described: technical simplicity and low cost of subscription, quick access to constantly updated materials, the ability to publish serious and profound works.In addition, magazine ads on WeChat are low-cost, and the platform brings readers together into a community, allowing magazines to send newsletters to subscribers.Also in the administrative panel of a public account, the WeChat system provides the owner with real-time data analysis.Author identifies the main factors that impede the full functioning of this communication tool."Harvest" magazine's account mainly includes texts and pictures, but audio recordings and videos are rarely published, which leads to the conclusion that the editorial board does not pay enough attention to the development of a public account on WeChat.Strategies aimed at development and contributing to overcoming identified problems are proposed.For example, the function of searching and accessing magazines published earlier than last year should be developed, the possibility of publishing audio recordings (inviting people who want to make voice recordings for publication in the journal account) and videos should be included, which will help the magazine become an independent digital publication.Particular attention is paid to "Harvest" magazine's public account on WeChat, which is the leading periodical of this profile in China.Its public account attracts a large number of subscribers and keeps their attention with new articles.