Reviewerly/exHarmony huggingface dataset:
Using Generative Pretrained Transformer-3 Models for Russian News Clustering and Title Generation tasks

The paper presents a methodology for news clustering and news headline generation based on the zero-shot approach and minimal tuning of the RuGPT-3 architecture (Generative Pretrained Transformer 3 for Russian).The solution is presented in a competition for news clustering, headline selection and generation.The following approaches are described: 1) zero-shot unsupervised classification based on pairwise news perplexity: the method requires no training or model fine-tuning and yields 0.7 F1-measure.2) fine-tuning: news headlines generation with the best result 0.292 ROUGE and 0.596 BLEU.
A Semi-Automatic Approach to Ontology Construction for Vietnamese High School Physics Subject

Ontology is a knowledge representation formalism used in the Semantic Web to provide data understandable by both humans and computers.The success of the Semantic Web depends strongly on the development of ontologies so that it is considered the heart of the Semantic Web.With the evolution of the Semantic Web recently, ontology is becoming more and more important in the field of knowledge management and sharing.There is an actual demand for fast and easy ontology engineering to save time and effort in ontology construction to avoid the knowledge acquisition bottleneck.Therefore, this paper proposes a semi-automatic approach to ontology construction for Vietnamese high school physics subject including two steps.The first step is to manually build a "seeding" ontology based on the textbook glossary.Then, a pattern-based method is used to enrich the base ontology to save time and efforts.The evaluation result shows that the pattern-based method is suitable for enriching the ontology and provides a good trade-off between simplicity and enrichment result.
Augmented Reality Based Digital Practicum Card Design and Implementation during the COVID-19 Pandemic

ABSTRACT: This study aims to design a DPC (Digital Practicum Card) application in the practice of learning basic automotive subjects. The application made is a digital practicum tool based on AR (Augmented Reality). The method in application development uses the MDLC (Multimedia Development Life Cycle) model through six stages of the development process, namely: Concept, Design, Material Collection, Assembly, Testing, and Application Distribution. The concept stage begins with the process of analysing the needs of automotive practicum learning, designing interfaces, developing 3D ( Three-Dimensional ) models with a blender, assembling applications with unity, testing systems, and distributing digital practicum card applications. The DPC application helps students carry out virtual experimental exploration activities on basic automotive materials without being limited by space and time, so that practicum learning becomes easy and can improve the quality of learning. The results of limited application testing for mechanical engineering students show that the package (apk) of the digital practicum card application can be installed on an Android smartphone device, the camera can read markers and generate 3D models of automotive objects normally. In addition to testing from the hardware and software aspects, the DPC application can be used by mechanical engineering students as a practical tool and an average of above 80% states that DPC can be used easily, and as a fun automotive practicum learning tool. KEY WORDS: Augmented Reality; Virtual Laboratory; Digital Practicum Card. About the Authors: Dede, M.Kom. is a Student of Doctoral Candidate at the Technological and Vocational Education Study Program SPs UPI (School of Postgraduate, Indonesia University of Education), Jalan Dr. Setiabudhi No.229 Bandung 40154, West Java, Indonesia. Prof. Dr. Ade Gaffar Abdullah and Prof. Dr. Budi Mulyanti are the Lecturers at the Technological and Vocational Education Study Program SPs UPI in Bandung, West Java, Indonesia. E-mail address: d32@upi.edu Suggested Citation: Dede, Ade Gaffar Abdullah & Budi Mulyanti. (2021). “Augmented Reality Based Digital Practicum Card Design and Implementation during the COVID-19 Pandemic” in EDUCARE: International Journal for Educational Studies , Volume 14(1), August, pp.19-34. Bandung, Indonesia: Minda Masagi Suci and ASPENSI with ISSN 1979-7877 (print) and ISSN 2621-587X (online). Article Timeline: Accepted (June 1, 2021); Revised (July 3, 2021); and Published (August 30, 2021).
Human integration in an ontology-based IoT system

The IoT systems are growing field of automation. In contrast to industrial applications, where the system is custom made for each customer or use case, the home IoT systems can be composed and used in many, sometimes dangerous and unpredictable, ways. This paper presents a system that is based on a common ontology as a unified and universal method of representing the environment including humans. Such approach allows for easy integration of heterogenous devices and declarative definition of services, tasks, and rules ensuring human safety and/or comfort.
A Big Data Platform for heterogeneous data collection and analysis in large-scale data centres

The INFN-CNAF data centre hosts the Italian Tier 1 site for the Worldwide LHC Computing Grid (WLCG), while also serving several other research and technological transfer programs.The challenges posed by the upcoming runs of LHC, together with the opportunity of moving the data centre itself to a bigger site, require a thorough redesign of its monitoring system.The large but heterogeneous amount of logging data and metrics produced daily are fundamental for monitoring activities and, once harmonised, can also be used to build Predictive Maintenance models based on Big Data techniques.In this work we describe the Big Data Platform, the new monitoring infrastructure under development at CNAF.The Big Data Platform relies on a modular, highly scalable architecture based on open source technologies and able to exploit modern frameworks such as containerisation and cloud support.It is capable of collecting data from heterogeneous data sources, clean and harmonise them, and store them as JSON files on different solutions, based on the needs of the end user.Data can then be visualised using Kibana, or analysed through a platform based on Jupyter Notebooks.
Interpretable machine learning of voluminous scattering data

Decades of efforts in improving instrumentation and sensors led us to the age of voluminous scattering data.However, the radically increased volume and experimental control present new challenges.I will discuss how these challenges can be embraced and turned into opportunities by employing machine learning.The rigorous framework for scientific understanding physicists enjoy through our celebrated tradition requires the interpretability of any machine learning essential.I will discuss our recent results using machine learning approaches designed to be interpretable from the outset.Specifically, I will present discovering order parameters and its fluctuations in voluminous X-ray diffraction data using a X-ray TEmperatures Clustering (X-TEC) we introduced in Ref[1].
PEMAHAMAN KONSEP MATERI PERKULIAHAN MELALUI KUIS DENGAN APLIKASI GOOGLE FORMS PADA MATA KULIAH BUDAYA MELAYU DI FKIP UNIVERSITAS RIAU

This study aims to describe 1) the ability to write in their own language; 2) The ability to make fragments that show a certain meaning of the material; 3) Ability to assemble material based on the sequence of processes; 4) the ability to write an idea clearly; 5) Ability to make material conclusions; 6) The ability to be able to find the main idea in the material; and (7) The ability to retell in their own language. The study used a descriptive quantitative approach, taking a sample of 40 people using an online questionnaire. The questionnaire has been declared valid and reliable through a trial on 15 students outside the study. Data processing using descriptive statistics. The results of this study found that the majority of students during lectures were outside the city of Pekanbaru, the device used was Android, the network used was data packets, while their internet network was always in moderate condition, but student learning achievement (GPA) was above average, so that it can allow students during lectures to understand the concept of material through online quizzes using google forms. It was found that almost all students could understand the concept of material through online quizzes using google forms, especially on the ability to write in their own language, and the ability to retell in their own language. This is possible because students' abilities are above average even though the internet network they use is weak.
Online learning: ICT-based Tools for Interaction and Effectiveness

COVID 19 has been a challenge in all sectors and education in particular. During the pandemic, there was an immediate and compulsory shift in conducting classes via online mode. Several colleges and schools have asked their teachers to hold classes online, yet most of them are neither equipped nor in the mindset to adapt to this new teaching methodology. Despite these limitations, Google Meet, Zoom, Microsoft Teams, and other platforms have become integral parts of lecturing and learning. Subjects have been taught using these platforms. Despite the challenges, classes are still held online and teachers are still able to reach students. It is important to note, however, that there are some notable challenges across all sessions that remain unnoticed and unrectified. In an online environment, controlling students' absences, engaging all students in discussions, monitoring their presence, keeping them active, conducting assessments, and nurturing creativity are all questionable. Research is needed to initiate and incorporate different ICT (Information Communication Technology) tools, in order to facilitate effective teaching and learning. The purpose of this paper is to identify the various ICT tools and resources that can be used to support the above-discussed problems and make online teaching and learning more effective.
Method for Recommending Guardianship to Minors Based on Parental Responsibility Using a Fuzzy Cognitive Map

Under different situations, minors can be left without legal guardianship. When a minor is in distress, he is at the mercy of the decision of the competent entity for the granting of his guardian. However, based on the affective relationships established by the different family members, determining parental responsibility constitutes a highly important decision. This research proposes a solution to the problem described by means of a recommendation system to assign parental responsibility and its incidence in the best interests of minors. The proposed method bases its operation using a Fuzzy Cognitive Map to model uncertainty in causal relationships. A case study is presented to demonstrate the applicability of the proposal.
SOA Distributed Systems Architecture

In business today, companies need to understand to great deal of permissiveness to adapt slightly to the rigid environment that demands of them. Traditional architectures have not provided adequate responses to this need because they Plough designed for to specific and limited purpose, under their integration is very complicated, making it difficult to quickly adapt processes to take advantage of new business opportunities and respond or prevent external threats. Today, to new way of conceiving information systems have surface, called Service Oriented Architecture (SOA), with the option of providing to better response under far, in order to provide organizations with the required permissiveness. In an SOA, the application functionality is provided through components called services, which have well-defined standard interfaces and represent business functions.
Uma Metodologia e Estudo de Caso para a Avaliação de Dependências no Desenvolvimento de Sistemas

The library re-usage is one of the most common practices to increase the efficiency of software development and the quality of developed systems. However, this re-usage of libraries can be harmful if it adds problematic dependencies to system maintenance. This paper brings an approach of topics and possible issues that must be taken in considerations during software development and maintenance according to dependencies and used libraries. This analysis can help the dependency optimization relating it with longevity, stability, maturity and maintenance of the system. To exemplify thus purpose it is presented a study of case that describes the analyze on the recovery process in the Harpia / Mosaicode application
Evaluating the semantic transparency of Guaraná: A domain‐specific language for enterprise application integration

Abstract Guaraná domain‐specific language is aimed to design enterprise application integration models. Although the language has been broadly used in the industry and academy, the design of its graphical notation was based in the common sense and social opinion of its developers rather than theoretical principles and empirical evidence. Thus, Guaraná becomes as an option for studying, modifying, and improving its concrete syntax. In this article we conducted an experiment with 85 participants in order to evaluate the semantic transparency of the concrete syntax of Guaraná. The study concludes that the language is not found to be semantically immediate because most of the language constructs used in the graphical notation of Guaraná are not semantically immediate, that is, a novice reader is not able to infer their meaning from their appearance alone.
Needs analysis-based ESP course design for vocational high school students

The objectives of this research were to find out: (1) the needs of accounting students in learning English at one of the vocational high schools in Donggala; and (2) the suitable English course design for vocational high school students. This research used a descriptive qualitative research method by involving twenty-two students majoring in accounting. The research instruments were google form questionnaires and phone interview that each instrument contained open-ended and close-ended questions. The data of this research were analyzed in four stages; namely coding, data reduction, data display, and drawing conclusions or interpretations. The researchers found that the needs of accounting students who participated in the research in learning English were in accordance with the teaching concepts of English for Specific Purposes. The language skill they needed the most was speaking. The students lacked vocabulary, pronunciation, and self-confidence to speak in English. In line with the students’ lack, the students would like their speaking skill to be developed. Based on the result of the students’ needs analysis, the researchers suggested a set of English course guidelines which consisted of four components. The first was the course rationale that covered target learners, course content, and course objectives. The second component was course materials related to accounting and about daily life. The third was teaching method and learning activities that most of the students preferred discussions and practices. The last component was assessment which consisted of a portfolio, journal, interview, observation, and self/peer assessment. The teacher could use one assessment only or more in one time for assessment based on the learning situation and the students’ needs.
Framework for Color and Texture Feature Fusion in Content Based Image Retrieval using Block Truncation Coding with Color Spaces

With tremendous growth in social media and digital technologies, generation, storing and transfer of huge amount of information over the internet is on the rise. Images or visual mode of communication have been prevailing and widely accepted as a mode of communication since ages. And with the growth of internet, the rate at which images are generated is growing exponentially. But the methods used to retrieve images are still very slow and inefficient, compared to the rate of increase in image databases. To cope up with this explosive increase in images, this information age has seen huge research advancement in Content Based Image Retrieval (CBIR). CBIR systems provide a way of utilizing the 3 major ways in which content is portrayed in images, those are shape, texture and color. In CBIR system, features are extracted from query image and similarity is found with features stored in database for retrieval. This provides an objective way of image retrieval, which is more efficient compared to subjective human annotation. Application specific CBIR systems have been developed and perform really well, but Generic CBIR systems are still under developed. Block Truncation Coding (BTC) has been chosen as a feature extractor. BTC applied directly on input image provides color content-based features of image and BTC applied after applying LBP on the image provide texture content-based features of image. Previous work consists of either color, shape or texture, but usage of more than one descriptor is still in research and might give better performance. The paper presents framework for color and texture feature fusion in content-based image retrieval using block truncation coding with color spaces. Experimentation is carried out on Wang Dataset of 1000 images consisting of 10 classes. Each class has 100 images in it. Obtained results have shown performance improvement using fusion of BTC extracted color features and texture features extracted with BTC applied on Local Binary Patterns (LBP). Conversion of color space from RGB to LUV is done using Kekre's LUV.
Fault Tolerance Policy for Resilient Private Cloud Environment

Cloud Computing, being a delivery model is swiftly moving ahead by being adopted by small and large organization alike. This new model opens up many research challenges. As, cloud computing services are offered over the Internet on pay-per-use basis, it is very essential to provide fault tolerant services to the users. To ensure high availability, data centers are replicated. The process of replication is costly but in terms reliability it overtakes the cost factors. Vast amount of work has been undertaken in fault tolerance in other computing environments but they cannot be applied directly to the cloud. This gives an opportunity for new, effective solutions. In this paper, we propose policies for delivering fault tolerant services for private cloud computing environment related to virtual machine allocations. The experimental test results and policies derived are described with respect to virtual machine provisioning.
Developing Coaching Skills Of School Leaders

In the article the author introduces the topic of coaching skills of school leaders. The research focuses on a review and analysis of existing models and practices that confirm the benefits of training future and current leaders in applying coaching principles and techniques in their day-to-day operations. The author also presents the main observations from a survey conducted among pedagogical specialists and educational leaders in Bulgaria on the topic and offers a framework of topics and activities for future thematic training in coaching skills for leaders.
Imaginary Soundscapes: Electronic Music Culture and the Aesthetics of the Virtual

This study is an exploration into how dance music cultures (better known as "rave" or "club" cultures) find ways to straddle the divide between human and machine through their incorporation of both of these oft-competing elements. Electronic dance music and its digital composition methods represent what Mike Berk calls "a new sonic paradigm." The different modes of production, performance and consumption within this paradigm require alternative ways of thinking about originality, creativity, and authenticity. While I do look briefly at issues of consumption and performance within dance music cultures, I focus specifically on how electronic music producers are bound by a unique vision of musical authenticity and creativity, borne out of their own "technological imagination" and the sonic possibilities enabled by digital technology. To use the concepts employed within my paper, I contend that dance music cultures make evident what Michael Punt calls the "postdigital analogue"--a cultural condition in which the decidedly more "human" or "analogue" elements of felt experience and authenticity coexist and converse with the predominance of the digital technologies of simulation and artifice. Dance music cultures are an emergent social formation, to use Williams' term, revising and questioning the typical relationships understood between digital and analogue. This postdigital analogue manifests in a number of ways in the cultural, aesthetic, and technological principles promoted by dance music cultures. In terms of production in particular, signs of digital and analogue coexist in a form of virtual authenticity, as the sound of the technological process engaged to make electronic dance music bears the mark of musical creativity and originality. This study reveals the unique manner in which dance music cultures incorporate both analogue and digital principles, bridging a sense of humanity with the acceptance of the technological.
On the sparseness of the downsets of permutations via their number of separators

The number of bonds in a permutation σ ∈ S n has a direct influence on the number of distinct patterns of order n -1 contained in σ, affecting the structure of the downset of σ in the containment poset n∈N S n .Thus, to characterize the sparseness of the downset of a permutation σ ∈ S n , we aim not only to find the number of bonds in σ, but also to predict the number of bonds contained in its patterns.To this end, we introduce a new statistic, separator number, as a significant factor in measuring the sparseness of this poset.An element σ j in a permutation σ = σ 1 • • • σ n ∈ S n is defined to be a separator of σ if we can obtain a new bond by omitting it from σ.We also present some enumerative and asymptotic results regarding this new statistic.
Utilization of Electronic Resources by the Faculty Members of Select Private Universities of NCR Region during the Covid 19 Pandemic: A Trend Analysis

An impact of the pandemic in India has disrupting the educational sector. The assessment of the study of online learning in higher education during the pandemic and what is awareness, perspective, and use of e-resources of the faculties member in research, teaching, and learning in the private state universities National Capital Region (NCR). It is the e-resources availed by the faculties in the libraries of the six universities specifically provided amid the pandemic “COVID-19” unfavorable situation in the year 2020-2021. The empirical data of 149 respective faculties was collected through an online survey from six reputed universities in the Delhi NCR region. The university administration and faculty members have immediately focused on online learning remotely instead of face-to-face classes, but online teaching could not complete without the library electronic resources. Therefore, this study highlights determine the academic libraries playing a significant role in providing support to faculty members in the midst of COVID-19 through ICT technology to support research, online teaching, and e-learning. Learning from the library of private universities will help develop such a more collaborative and emerging teaching/learning experience. The recommendation & results of this study are about electronic resources being effectively beneficial to all the six private universities in the Delhi NCR. We have to build strategies to be aware of the needs of the faculty members, the problems they are facing during this lockdown period, and the value of electronic resources that had been prioritized for teaching/learning and research evaluation are also discussed