Reviewerly/exHarmony huggingface dataset:
Peer Review Declaration

All conference organizers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review : The ICoPIs 2021 manuscripts were reviewed using double-blind peer review. One reviewer reviewed one manuscript. The number of papers submitted was 62 articles. The number of ICoPIs 2021 reviewers were 9 people. The reviewing processes were conducted via email or OCS. The manuscripts in ICoPIs 2021 have been through two stages of review. The first review stage involved three steps. First, manuscripts were distributed to the 10 reviewers. Second, the ICoPIs team checked the similarity of the manuscript. Third, the reviewed manuscripts consisting of the reviewer’s detailed comments were returned to the authors, along with the review summary form and the similarity check results. The authors were requested to return the revision of their papers within a certain period of time. In the second review stage, the editorial team scrutinized the revised manuscripts with the summary review form and the similarity percentage. If the revision has followed the comments and suggestions from reviewers and the limitation of similarity, the manuscript would be forwarded for language and template check. • Conference submission management system : OCS (https://fisika.fkip.untad.ac.id/icopis/) • The number of submissions received : There were 62 articles submitted to the ICoPIs 2021 • The number of submissions sent for review : There were 56 articles reviewed by the reviewers of the ICoPIs 2021 • The number of submissions accepted : There were 37 articles accepted for recommendation/publication to JPCS IOP Publishing. • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100) : 59.68% • The average number of reviews per paper : One article was reviewed 4 times; twice for content review and a similarity check, once for language and once more for the template. • The total number of reviewers involved : There were 24 reviewers involved, consisting of 9 content reviewers, 10 editors (review content and templates), and 5 language reviewers. • Any additional info on the review process : While the ICoPIs team waited for the manuscripts from the reviewers, we checked the similarity of the papers. We sent three documents to the authors for the first review stage, including the reviewed manuscript, the summary of the review form, and the result of a similarity check. The authors sent the revised article along with the similarity check (maximum 20%). The manuscripts entered the second review stage. When a manuscript has followed the comments and suggestions from reviewers and was considered suitable for publication, the manuscript then proceeded to the editors for the template and language check. We did a similarity check once more during this phase but only for the manuscript with a high similarity percentage in the first review stage. So, one manuscript has been through a similarity check 2 to 3 times. • Contact person for queries : +628975586104 (Misbah) Universitas Lambung Mangkurat Misbah_pfis@ulm.ac.id
A Study on Innovation Resistance of Digital Trade Based On Cloud Services

Purpose - Digital trade, which started in the early 2000s, is showing a sharp increase due to the recent pandemic. However, despite this proliferation, users acceptance of innovation is very slow. Cloud services are at the center of digital trade activation. This study aims to contribute to the spread of digital trade through empirical analysis of the resistance factors that hinder the use of cloud service-based digital trade using the innovation resistance theory and the status quo bias theory. Design/Methodology/Approach - In order to achieve the research purpose, this study was conducted with 171 entrepreneurs using cloud service-based digital trade. Structural equation model(SEM) was used through empirical analysis. Findings - As a result of the study, it was found that the complexity of technology, perceived risk, compatibility, and trust in service providers had a significant effect on innovation resistance, and policy trust did not affect innovation resistance. Also, security concerns and institutional trust were analyzed to have a significant effect on the trust of service providers. Research Implications - This study is meaningful to help the rapid diffusion of innovative technologies through empirical analysis of factors that lower the intention to accept cloud service-based digital trade.
Potensi Dark Tourism Di Bandung

Bandung has been famous as a tourist destination or for leisure for a long time since the Dutch colonialism. Most of activities are mass tourism, such as culinary, shopping and nature tourism. Aside from those tourist activities, there is other kind of tourism that actually has been done by tourists and still need to be developed. It’s dark tourism. This research aimed to identify the potential of dark tourism and its activity. In this tourism, the object is a place with past dark horrible history for violence experienced by people in the past colonialism. The spectrum of darkest and lightest was demonstrated to show similarity and difference from previous researches as well as the level of eeriness in dark tourism.This research was conducted in Bandung using qualitative method. Data was obtained by directly visiting the tourist object, interviewed people related to the tourism activity and literature study. The instruments used in collecting data were a camera and a recorder. After processing data, it was then triangulated to make sure that all the result of the data was correct.From the research it was found that there were one tourist object and one tour included in dark tourism. They were Goa Pakar, consist of Goa Belanda and Goa Jepang, and a ghost tour which was known as Wisata Mistis. Goa Belanda and Goa Jepang are located in Taman Hutan Raya Ir. H. Djuanda or known as Goa Pakar or Dago Pakar. These caves have dark history about the cruelty from struggling against Dutch and Japanese colonialism. While ghost tour is a trip related to visiting spooky places at night. It is expected in the future that the dark tourism object will obtain serious attention and improvement from the local government so that educate tourists about sacrifice of the people who fought for nation independence
Implementation Of Students’ Academic Rights In The Context Of Educational Transformatio

As a result of the dynamic development and widespread introduction of digital technologies, working conditions are significantly transformed, the demand for professions is undergoing changes, and the role of education is being reassessed. In this regard, the identification of problems and contradictions that impede the improvement of the quality of education and limit the implementation of the academic rights of students acquire special significance. The primary goal of the “regulatory guillotine” policy implemented by the state in the field of education is to monitor the regulatory arrangements of educational activities. Analysis of regulatory legal acts, law enforcement practice, scientific publications on the research topic revealed the presence of significant restrictions, as well as internal contradictions that significantly increase the risks of realizing in practice individual academic rights of students: the right to transfer, to resume studies, individual training and participation in the formation of the content of their professional education. Recently, in practice many universities have had their licenses and state accreditation suspended or revoked. The cessation of educational organizations entailed the identification of the implementation of students’ academic rights to transfer from one educational organization to another. The mainstreaming of digital technologies and electronic document management in the educational process helps to optimize and reduce the burden on all participants in educational activities. The digitalization made it necessary issuing on paper some documents, for example, a student ID and a record book, which are already maintained electronically in some educational organizations.
The paper describes the INGV experience in graphic design devoted to promoting science

I read this paper with interest, as I consider the developments it describes really important for effective communication in science.I have no doubt that the paper and its beautiful iconography will definitely be of inspiration for many.
Technological Tools

This chapter will decode the array of tools that enable designing, constructing, and operating various aspects of blockchains in a decentralized application. We shall walk through how these tools can be chained on-cloud and off-cloud with Microsoft Azure’s cloud services.
Development of Digital Literation Model to Improve Health Food Knowledge of Early Children Indonesia

This study aims to describe and examine more deeply about digital literacy to increase knowledge of healthy food for early childhood in Pamulang District, South Tangerang and North Semarang District.This research is a development research conducted in 3 stages.The first year is the development of the instrument up to the prototype model at the Kindergarten, Pamulang District and North Semarang District.Meanwhile, the second year is the development of digital guides and tools, and in the third year the trial of the model is limited and widespread.In this study, a digital literacy model is being developed to increase knowledge of healthy food for early childhood.The use of attractive visual media in learning models by utilizing information technology in the form of distance learning applications such as Zoom can increase children's curiosity and interest, even though they are studying from home due to the pandemic period.In addition, it can generate motivation and stimulation in the learning process and can affect the child's psychology.In addition, visual media that is packaged in the form of illustrations and animated videos can help children improve understanding, make interesting material presentations, make it easier to interpret data, and condense information.Thus, researchers suspect that the motivation and interest that are generated by the presence of interesting animated images and illustrations will affect the ability of children to understand healthy food.This development research will then be continued by carrying out the next stage, namely a limited and extensive model trial for digital devices and guidelines for their use.
Automatic generation of learning outcomes based on long short–term memory artificial neural network1

Building a good instructional design requires a sound organization management to program and articulate several tasks based for instance on the time availability, process follow-up, social and educational context. Furthermore, learning outcomes are the basis involving every educational activity. Thus, based on a predefined ontology, including the instructional educative model and its characteristics, we propose the use of a Long Short–Term Memory Artificial Neural Network (LSTM) to organize the structure and automatize the obtention of learning outcomes for a focused instructional design. We present encouraging results in this direction through the use of a LSTM using as the training data, a small learning outcomes set predefined by the user, focused on the characteristics of an educative model previously defined.
2021 Division of Learning Disabilities Award Winners

Learning Disabilities Research & PracticeVolume 36, Issue 2 p. 81-81 Editorial 2021 Division of Learning Disabilities Award Winners First published: 02 June 2021 https://doi.org/10.1111/ldrp.12246Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume36, Issue2May 2021Pages 81-81 RelatedInformation
Organizational fundamentals of the society digitalization influence on updating the approaches to personification of the history of education and pedagogical thought in Ukraine

The article considers the preconditions, dynamics, trends, institutional basis for the development of modern pedagogical biography in Ukraine.Emphasis is made on the accumulated historiography of significant volumes of various source materials (late 80's of XXearly XXI century.).It was found that according to the results of the analytical review, they are divided into three categories, covering the work on the development of Ukrainian pedagogical thought and the study of the pedagogical galaxy of Ukraine and abroad.It is established that the bibliography, as a relevant industry resource, is a search infrastructure.The authors emphasize that in specific pedagogical research the scientists are usually limited to a brief interpretation of the biography in accordance with the subject of their study.It is noted that in the process of accumulation of an array of scientific, educational, popular science, reference literature on the life of teachers in the Ukrainian historical and pedagogical science formed a separate interdisciplinary research and personalized directionthe pedagogical biography.The need to use a digital bibliography has been identified.Research has pointed to the need to transform the personification of the history of education and pedagogical thought in Ukraine into a digital infrastructure of the state and world level in accordance with the digitalization of society.
Universal Algebra

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SUPPORT OF INFORMAL CARERS FOR PEOPLE AFTER A STROKE WITH CROWDSOURCING AND NATURAL LANGUAGE PROCESSING

For a long time, both professionals and the lay public showed little interest in informal carers. Yet these people deals with multiple and common issues in their everyday lives. As the population is aging we can observe a change of this attitude. And thanks to the advances in computer science, we can offer them some effective assistance and support by providing necessary information and connecting them with both professional and lay public community. In this work we describe a project called “Research and development of support networks and information systems for informal carers for persons after stroke” producing an information system visible to public as a web portal. It does not provide just simple a set of information but using means of artificial intelligence, text document classification and crowdsourcing further improving its accuracy, it also provides means of effective visualization and navigation over the content made by most by the community itself and personalized on a level of informal carer’s phase of the care-taking timeline. In can be beneficial for informal carers as it allows to find a content specific to their current situation. This work describes our approach to classification of text documents and its improvement through crowdsourcing. Its goal is to test text documents classifier based on documents similarity measured by N-grams method and to design evaluation and crowdsourcing-based classification improvement mechanism. Interface for crowdsourcing was created using CMS WordPress. In addition to data collection, the purpose of interface is to evaluate classification accuracy, which leads to extension of classifier test data set, thus the classification is more successful.
Application of Data Mining for Clustering of Foreign Tourist Visits Based on Arrival Entrance

Indonesia is a country with unique tourist destinations from each region. The tourism sector has an impact on the Indonesian economy which can encourage economic growth and increase the country's foreign exchange from foreign tourist visits. Tourism growth in Indonesia was disrupted due to the Covid-19 pandemic with the imposition of major social restrictions which resulted in a decrease in tourist visits and the paralysis of the tourism sector. Based on the problems described above, the authors are interested in conducting research in order to classify data on foreign tourist arrivals based on the entrance of foreign tourist arrivals. This research uses data mining method and K-Means Algorithm to form 5 clusters. The 5 clusters are divided into groups of tourist entrances which are categorized as very high (C1), high (C2), moderate (C3), low (C4) and very low (C5). In forming the 5 clusters, the researchers used Ms. Excel and Rapidminer 10.1 to process data. The results of this study obtained that the tourist entrance group was categorized as very high (C1) with 1 data, high (C2) with 1 data, moderate (C3) with 1 data, low (C4) with 1 data and very low (C5). ) that is with 21 data. This study aims to provide suggestions and future considerations to the Ministry of Tourism and Creative Economy of the Republic of Indonesia (Kemenparekraf) to carry out policies so that the Indonesian tourism sector can return to normal.
Optical firewall for defending deep neural networks from adversarial attacks

We overview approaches that we have recently introduced that employ optical encrypted acquisition to defend against adversarial attacks on deep learning algorithms.
Scheme Design of Railway Predictive Maintenance Based on IOT and AI Technology

With the rapid development of railway, the predictive maintenance of railway is more and more worthy of study.This paper analyses the development process of railway maintenance in China, evaluates the traditional application of corrective maintenance, analyses the mature application of preventive maintenance, and expounds that predictive maintenance has been applied.This paper analyses the benefits from four aspects: saving cost, reducing unexpected downtime, prolonging asset life cycle and enhancing customer satisfaction, and summarizes the key success factors of predictive maintenance from the aspects of method, scope, team and change, especially designs predictive maintenance priority matrix for selection of maintenance objectives.Finally, the paper summarizes and designs the architecture of predictive maintenance platform based on Internet of things and AI.This paper will provide a meaningful scheme reference for China Railway to formulate predictive maintenance strategy and vigorously promote this work.
The Readiness Of Future Specialists For Professional Activity Under Conditions Of Uncertainty

The formation of graduates' readiness for professional work under conditions of uncertainty is carried out with the implementation of a set of modern approaches that contribute to a successful adaptation to work, and the development of educational and creative abilities of students. In this article, on the basis of the readiness of future specialists for professional activity under conditions of uncertainty, the authors examined the differentiation of the choice of alternative methods for solving urgent problems in working activities. The paper presents the results of the analysis of intolerance to the uncertainty of life situations, as well as tolerance to uncertainty, which consists in the ability to calmly endure various kinds of circumstances in professional activity. The data of the research aimed at identifying the students' abilities to manage their lives and their tolerance to uncertainties. The analysis made it possible to conclude that during the period of early professional development, tolerance to uncertainty is not stable, but it is a significant characteristic of future specialists with higher education, since they value their ability to manage their own lives rather highly. The study also showed that the self-esteem of tolerance is more consistent with their willingness to engage in interpersonal professional relationships than with tolerance or intolerance to uncertainty.
Transition-Based Methods for Structured Prediction

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
A Novel Data Analytics Oriented Approach for Image Representation Learning in Manufacturing Systems

In the era of digital manufacturing, huge amount of image data generated by manufacturing systems cannot be instantly handled to obtain valuable information due to the limitations (e.g., time) of traditional techniques of image processing. In this paper, we propose a novel self-supervised self-attention learning framework—TriLFrame for image representation learning. The TriLFrame is based on the hybrid architecture of Convolutional Network and Transformer. Experiments show that TriLFrame outperforms state-of-the-art self-supervised methods on the ImageNet dataset and achieves competitive performances when transferring learned features on ImageNet to other classification tasks. Moreover, TriLFrame verifies the proposed hybrid architecture, which combines the powerful local convolutional operation and the long-range nonlocal self-attention operation and works effectively in image representation learning tasks.
Augmenting Embedding Projection With Entity Descriptions for Knowledge Graph Completion

Extra information, such as hierarchical entity types, entity descriptions or some text corpus are recently used to enhance Knowledge Graph Completion (KGC). A typical task in this setting is building entities’ description information into some embedding models. Existing approaches under this task usually use simple embedding models, which have difficulty in handling the complex structures of the knowledge graphs. These models are also limited in the way where description representation is combined with structure representation, which requires an impractical large set of weight parameters increasing in proportion to the number of entities in the knowledge graph. This paper aims at developing more effective embedding models that jointly represent the structure information of the knowledge base with the description of entities. We propose more principled approaches named Dimensional Attentive Combination (DAC) for the composition of structure representation and description representation with fixed-size parameters independent of entity amount, and the composition builds upon more powerful knowledge graph embedding models. The proposed model significantly reduces the weight parameters and can extend to KGs with a large set of entities or involving sparse data. Experimental comparison on link prediction and relation prediction shows that our approaches, even under a simple description-encoding model, improve upon the baselines by a significant margin.