Reviewerly/exHarmony huggingface dataset:
METHODOLOGICAL ASPECTS OF TEACHING THE GENRE OF SCIENCE FICTION IN INSTITUTIONS OF GENERAL SECONDARY EDUCATION (ON THE EXAMPLE OF KURT VONNEGUT’S NOVEL «CAT’S CRADLE»)

This article is devoted to the role of the cultural aspect in literary education. The necessity to create a comprehensive system of studying the science fiction genre of the 20th century (on the example of Kurt Vonnegut’s «Cat’s Cradle») at the final stage of school literary education has been identified and substantiated.&#x0D; At the center of the concept of modern literary education and upbringing are the personality of the student, his desire to understand the whole picture of the world, mastering culture as the experience of previous generations, involvement in spiritual heritage. To the extent that the student-reader learns the experience passed on by previous generations, to the extent that he will be able to navigate the constantly changing conditions of life, realize his own responsibility to the future generation.&#x0D; The cultural illiteracy of high school students, the loss of connection with the spiritual culture of their people and humanity in general speak of the need to educate a «person of culture» in a modern school. In this regard, an important role in the formation of emotional perception and understanding of various facts of the culture of both their own and other nations is played by lexicographers and the literature classes conducted by them, aimed at studying literary works against the background of a broad cultural context. Involvement in the historical-literary process will help students to see patterns in the development of foreign culture and literature in particular.&#x0D; An important point is the culturalization of education, which is aimed at globalization in the field of culture and education, associated with increasing interest in the problems of the cultural identity of peoples. Globalization in education is a single world cultural and educational space, a single world labor market and educational services.&#x0D; The cultural aspect of education determines the composition and hierarchy of values, the system- creating element of which is the student’s personality as the main value. There is no doubt that the implementation of the cultural aspect of teaching literature at school contributes to the effective entry of students into the context of culture, forms in them a system of key value ideas about the world and man, which become worldview guidelines. The cultural aspect makes it possible to overcome the stereotypes accumulated in the perception and analysis of both foreign literature (works in the light of the cultural aspect of the study return with new facets and open new meanings) and foreign culture as a whole.&#x0D; Undoubtedly, the cultural aspect allows one to consider the work of art in three planes: a generalized model of the world, national and cultural specificity, the author’s own model of the world and man, where his philosophical, religious, moral and aesthetic views are presented.&#x0D; Implementation of the cultural aspect in education is possible in the process of development of the value-meaning sphere of the individual.
Can quantum physics make the internet more secure?

ost of us use the internet every day.Whether to message our friends on social media, research a topic we want to know more about, or do some online shopping, the internet has become an integral part of our lives.The current version of the internet, however, is liable to being attacked.News reports tell stories of hackers who reveal individuals' credit card details, health records or other sensitive information.This is why Associate Professor Jacquiline (Jacq) Romero at the University of Queensland is helping to develop the quantum internet -a new version of the internet that will provide the most secure kind of communication possible within the laws of physics. How is the quantum internet different to the regular internet?The current internet works by using 'bits' that are always in one of two physical states, like the on/ off switch of a light or TV.The state of these bits is usually represented by a single binary value, either 0 or 1. "The quantum internet differs from the regular internet because it will transmit quantum information ('qubits') instead of classical information ('bits')," says Jacq. "Quantum states are very different."
Design and Validation of Action Chain Search during Free Kick in RoboCup2D Simulation

The usefulness of artificial intelligence has been recognized in fields such as Go and Shogi. However, it is impossible to apply the knowledge gained there to real-world problems. If we can apply artificial intelligence to real-world problems, the potential of artificial intelligence will be further expanded. Therefore, in order to set up a real-world problem, we used the “RoboCup Soccer Simulation 2D League” as the subject of our experiment, aiming to improve team performance through artificial intelligence. The experiment was conducted using fuzzy inference methods and genetic algorithms. The same methods have been used in past experiments, but in this paper, we further added improvements to the fuzzy inference method and verified its usefulness and other features compared to those designed in past experiments.
Message from the General Chair DSD 2022

It is my great pleasure to welcome you to the main EUROMICRO event, the joint 25th Digital Systems Design (DSD 2022) and the 48th Software Engineering and Advanced Applications (SEAA 2022) Conferences. The integration of these two high quality conferences enables connections and collaboration opportunities among these diverse but highly interrelated fields. I am honored to host the DSD/SEAA event in Gran Canaria, one of the most important islands of Canary Islands in Spain. Particularly, the event will be held in the south of the island, in Meloneras (Maspalomas), surrounded by a fascinating landscape of ravines and protected areas, and just seven hundred meters from the golden-sand beach of Maspalomas, declared Protected Natural Area with the category of Special Nature Reserve since 1994. The south of the island of Gran Canaria gathers most of the island's tourism and brings together a huge number of high-level hotels and holiday resorts. The COVID-19 pandemic has diminished the number of conferences held in-person over the past two years, moving many events to virtual and decreasing the face-to-face experience for researchers around the globe, logically prioritizing the health, safety, and wellbeing of the attendees. With the improved current situation, the DSD/SEAA Organizing Committee have decided to support the return to normality by planning a totally in-person event, but providing the possibility to authors of certain countries, which still cannot travel to Gran Canaria due to the COVID-19 restrictions, to give their presentations online. First of all, I would like to thank all the authors for their high-quality research and their decision to present their work at DSD/SEAA. I would also like to thank the Program Chairs, Himar Fabelo and Samuel Ortega for DSD, as well as Regina Hebig and Andreas Wortmann for SEAA, the Track Chairs, the Program Committees members, and associate reviewers for their excellent work to select high-quality works and provide meaningful feedback to authors. Additionally, I would like to take this opportunity to thank the entire DSD Steering Committee (Lech Jozwiak, Hana Kubatova, Paris Kitsos, Antonio Nuñez, Francesco Leporati, José Silva Matos, and Eugenio Villar), the entire SEAA Steering Committee (Michel Chaudron, Onur Demirors, Stefan Biffl and Rick Rabiser), the publication chair (Amund Skavhaung), the organizing chair (Pedro Carballo) and the publicity chair (João Canas Ferreira). Finally, I would like to thank the local organizing committee (Maria Castro, Raquel Leon, Abian Hernandez, Beatriz Martinez, Laura Quintana, Antonio Rodriguez, Carlos Vega and Eduardo Quevedo) for their continuous work and support in the preparation of the event. I hope DSD/SEAA in Gran Canaria will bring the relaxing atmosphere required for a profitable scientific experience and a wonderful personal stay.
Term Weighting Based Indexing Class and Indexing Short Document for Indonesian Thesis Title Classification

Document classification nowadays is an easy thing to do because there are the latest methods to get maximum results. Document classification using the term weighting TF-IDF-ICF method has been widely studied. Documents used in this research generally use large documents. If the term weighting TF-IDF method is used in a short text document such as the Thesis Title, the document will not get a perfect score from the classification results. Because in the IDF will calculate the weight of words that always appear to be few, ICF will calculate the weight of words that often appear in the class to be few. While the word should have great weight to be the core of a short text document. Therefore, this study aims to conduct research on word weighting based on class indexation and short document indexation, namely TF-IDF-ICF-IDSF. This study uses a classification comparison Naïve Bayes and SVM. The dataset used is Thesis Title of Informatics Education student at Trunojoyo Madura University. The test results show that the classification results using the TF-IDF-ICF-IDSF term weighting method outperform other term weighting, namely getting 91% Precision, 93% Recall, 86% F1-Score, and 84% Accuracy on SVM.
Wear life prediction of vehicle mechanical parts based on Gray Markov chain

In order to overcome the high prediction error rate of traditional methods, a wear life prediction method of vehicle mechanical parts based on Gray Markov chain is proposed. The wear type, wear mechanism of vehicle mechanical parts and the relationship between wear type and surface damage form are analysed, and the wear amount of vehicle mechanical parts is calculated. Based on the calculation results of wear amount, the relative error and residual error of wear life prediction results based on GM (1,1) model are obtained by using Markov chain, and the wear life prediction results of vehicle mechanical parts are obtained under the condition of minimising the two. The experimental results show that the accuracy of this method is 58-92%, the maximum error rate is 4.5%, the minimum error rate is 0.9%, and the average output time is 1.16 s.
An Approch for Representation of Node Using Graph Transformer Networks

Abstract: In representation learning on graphs, graph neural networks (GNNs) have been widely employed and have attained cutting-edge performance in tasks like node categorization and link prediction. However, the majority of GNNs now in use are made to learn node representations on homogenous and fixed graphs. The limits are particularly significant when learning representations on a network that has been incorrectly described or one that is heterogeneous, or made up of different kinds of nodes and edges. This study proposes Graph Transformer Networks (GTNs), which may generate new network structures by finding valuable connections between disconnected nodes in the original graph and learning efficient node representation on the new graphs end-to-end. A basic layer of GTNs called the Graph Transformer layer learns a soft selection of edge types and composite relations to produce meaningful multi-hop connections known as meta-paths. This research demonstrates that GTNs can learn new graph structures from data and tasks without any prior domain expertise and that they can then use convolution on the new graphs to provide effective node representation. GTNs outperformed state-of-the-art approaches that need predefined meta-paths from domain knowledge in all three benchmark node classification tasks without the use of domain-specific graph pre-processing.
Hiding in Plain Sight: Toward a Celebration of Hebraica Catalogers

This article offers a chance to readers to know better the Hebraica catalogers who have been active in the United States and Canada, currently active, retired and deceased. There are two parts in this article. First the author presents how the article came into being, the source the author used and the existing bibliography. Then the author presents the field of Hebraica and Judaica librarianship in the “longue durée.” The second part contains testimonies of Hebraica catalogers who accepted to contribute to this article.
Penggerombolan Desa di Jawa Barat Berdasarkan Daerah Rawan Bencana

Indonesia is one of the countries that has a large potential for natural disasters. Indonesia's position at the confluence of 4 continental plates makes the potential for earthquakes even greater. The tropical climate with 2 seasons makes changes in weather, temperature and wind direction quite extreme. These climatic conditions combined with the relatively diverse surface and rock topography conditions, these conditions can cause several bad consequences for the community such as hydrometeorological disasters such as floods, landslides, forest fires, and droughts. Particularly in West Java province, natural disasters that have occurred include: landslides, droughts, cyclones/typhoons, tidal waves, fires, volcanic eruptions, tsunamis, and other disasters. The purpose of this study was to cluster villages in the West Java region based on the level of disaster-prone in 2018. The research was carried out using K-Prototypes clustering and testing evaluation using the silhouette coefficient. The results showed that the optimal number of clusters in this study was nine clusters. These clusters can be distinguished based on the disaster category and the characteristics of the area.
Guaranteed Privacy of Distributed Nonconvex Optimization via Mixed-Monotone Functional Perturbations

In this letter, we introduce a new notion of guaranteed privacy for distributed nonconvex optimization algorithms. In particular, leveraging mixed-monotone inclusion functions, we propose a privacy-preserving mechanism which is based on deterministic, but unknown affine perturbations of the local objective functions. The design requires a robust optimization method to characterize the best accuracy that can be achieved by an optimal perturbation. This is used to guide the refinement of a guaranteed-private perturbation mechanism that can achieve a quantifiable accuracy via a theoretical upper bound that is independent of the chosen optimization algorithm. Finally, simulation results illustrate the accuracy-privacy trade-off and that our approach outperforms a benchmark differentially private distributed optimization algorithm in the literature.
Image-to-Image Orthodontics Transfer Employing Gray Level CO-Occurrence Matrix Loss

Orthodontics transfer is a new, challenging image-to-image transfer task from malpositioned-teeth images to neat-teeth images. More specifically, it belongs to the image-to-image location transfer, which aims to rearrange the chaotic foreground objects into an orderly layout. In this paper, we conducted further research on image-to-image orthodontics transfer task. Firstly, we studied the similarities and differences between malpositioned-teeth images and their corresponding neat-teeth images and found texture feature similarities between them. Then we analyzed the problems of directly applying the LTGAN method to the orthodontics transfer task and proposed an approach based on the boundary label transfer bridge. Finally, our model’s performance is further improved by employing gray level co-occurrence matrix loss. Moreover, we have augmented the OrthoD datasets to support our method and potential attempts to deal with orthodontics transfer task. The added data is available at https://drive.google.com/drive/folders/1bzoxzi_608SzCVgaABlPAjZVqp6pp7L8?usp=sharing.
Sample-size-reduction of quantum states for the noisy linear problem

Quantum supremacy poses that a realistic quantum computer can perform a calculation that classical computers cannot in any reasonable amount of time. It has become a topic of significant research interest since the birth of the field, and it is intrinsically based on the efficient construction of quantum algorithms. It has been shown that there exists an expeditious way to solve the noisy linear (or learning with errors) problems in quantum machine learning theory via a well-posed quantum sampling over pure quantum states. In this paper, we propose an advanced method to reduce the sample size in the noisy linear structure, through a technique of randomizing quantum states, namely, ɛ-random technique. Particularly, we show that it is possible to reduce a quantum sample size in a quantum random access memory (QRAM) to the linearithmic order, in terms of the dimensions of the input-data. Thus, we achieve a shorter run-time for the noisy linear problem.
Enhancing the security of gaming transactions using blockchain technology

In this paper, we propose GameBlockchain, an open-source blockchain framework designed to support secure transactions of NFTs in modern computer games. Its purpose is to enable game industry stakeholders such as game developers, content creators, and regular gamers to create and exchange game assets in a more secure and trusted environment. The security of traditional databases and potential data tampering or dangerous user behavior is improved, as outlined in the paper, by blockchain technology, which is used to record critical operations in a ledger, preserving the identity of the user at all times. From a technical perspective, the main goal is to provide an architecture that is easy to use, flexible, understandable, and has an extensible SDK. Using the framework, game developers and regular users should be able to create and trade assets without third-party providers, and use all related services directly in the game interface itself, without having to switch between applications or pay additional transfer fees to providers. We also encourage the development of games with shared marketplaces and wallets on both the developer and user sides, making it easier to monetize assets and services.
Organization and conduct of psychological and pedagogical research as a necessary component of training a competitive primary school teacher

Ukrainy «Pro Stratehiiu natsionalno-patriotychnoho vykhovannia»: vid 18 travnia 2019 r. № 286/2019.[Decree of the President of Ukraine "On the Strategy of National Patriotic Education"]./ Ukaz Prezydenta Ukrainy.Retrieved from: https://zakon.rada.gov.ua/laws/show/286/2019#Text(data zvernennia: 12.08.2022).[in Ukrainian]. Reho H.,
ANALYSIS OF RELATIONSHIPS BETWEEN INNOVATIVE AND DIGITAL PERFORMANCE OF EU-27 COUNTRIES

Background: The global digital economy is developing quickly, and innovation plays a crucial role in today's economic growth. Aims: The main aim was to investigate the interrelationships between the digital and innovation performance of the EU countries using the selected global indices (DESI, GII, SII). The main aim was fulfilled by 2 partial goals and subsequently set 2 hypotheses. Methods: To verify the hypotheses, we used the Kendall Tau coefficient (τ), panel data regression analysis and through this analysis, we created 3 models. Sample: We have chosen the EU-27 countries for our analyses. The length of the analyzed period was 5 years (2016-2020). Results: To select the resulting model from the 3 proposed models (Model 1 (OLS), Model 2 (FEM), and Model 3 (REM)), test criteria such as F-test, Breusch-Pagan test, and Hausman test were used. We consider Model 2 to be the most suitable model, which is the result of the Fixed Effects Model (FEM). Conclusions: The results of our analyses confirmed that a higher statistically significant positive relationship was identified between the digital performance of the EU-27 countries and their innovation performance evaluated using the SII versus the innovation performance using the GII.
The Implementation of Online Learning for Economic Education Students at the University

The purpose of this study was to determine and analyze the implementation of online learning on university students majoring in economic education at Halu Oleo University, Kendari. This type of research was a case study research. The informants in this study consisted of Economic Education students who were taken using the Purposive Sampling technique (n=100 students). The data were collected through questionnaires, interviews and documentation. The data analysis used data reduction, data presentation, and conclusion. Test the validity of the data using triangulation techniques. The findings of this study were the implementation of online learning for Economic Education students was as follows: the learning applications most often used by Economic Education students were zoom meetings, WhatsApp groups and google classroom. Regarding the availability of learning time, students felt that it was enough, although it cannot be denied that sometimes it was also not enough. To access online learning, Economics Education students used a private packet connection type with less stable network quality. Economic education students' learning readiness was quite good, but the concentration and involvement of students were not good and the ability to understand learning materials is also still lacking. This study concluded that online learning in university could be used a variation of device technology which was designed by a teacher or used from the internet.
Development of E-Worksheet Using Using Android Educapps Application for Economic Learning

This study aims to develop an e-worksheet on learning and teaching economics using the android educapps application. The method used was research and development through the ADDIE model. The data were collected through questionnaires, interviews, and documents. The implementation of the product trial was carried out at State Senior High School 2 Kendari with 50 students. The data obtained were analyzed qualitatively through the results of assessments from experts, the results of product trials and the use of t-tests on the assessment of the results of electronic worksheets that had been done by students during the large product test. The results of the product assessment showed that 89.14% of all aspects of the e-worksheet have been feasible, and this percentage was the very good category. The assessment of IT experts showed that aspects of software engineering and aspects of visual communication received a score of 79.94%. The results of the material expert assessment concluded that all aspects of content feasibility, presentation feasibility aspects and language assessment aspects received a score of 91.5%. Based on this assessment, the educapps application was declared eligible as an economics learning e-worksheet for class XI at State Senior High School 2 Kendari. The results of the study have implications for teachers' understanding of the development of e-worksheets and teaching materials that can be harmonized with technological developments so that learning can be in accordance with the needs of today's global education.