Reviewerly/exHarmony huggingface dataset:
PSIKOEDUKASI PENGENDALIAN EMOSI PADA PENGGUNA GAME ONLINE DI DESA TELAGA MURNI KABUPATEN BEKASI

The phenomenon of playing online games among the public is an entertainment need that is easily accessible. With the presence of online games, it can be entertaining to get rid of boredom, but it can cause feelings of emotion due to playing online games. This can lead to harsh words or venting emotions to the environment. One way to reduce this is to control emotions. The method used in this activity is psychoeducation for online game users in order to raise awareness to reduce emotions during playing games, especially people in the Telaga Murni Housing RW 08 environment.
Megathrust Seismicity Through the Lens of Explainable Artificial Intelligence

&amp;lt;p&amp;gt;Understanding the controls on large magnitude seismicity occurrence remains an open challenge, yet a pressing one, for the exceptional hazard associated with earthquakes. Different parameters are proposed to exert control on the generation and propagation of megathrust earthquakes and untangling their complex interactions across scales remains challenging. Here, we use explainable artificial intelligence to unravel the interactions between different parameters and elucidate the underlying mechanisms. We use three types of datasets from a number of convergent margins: &amp;lt;em&amp;gt;a&amp;lt;/em&amp;gt;) a catalogue of earthquake hypocentre and rupture, &amp;lt;em&amp;gt;b&amp;lt;/em&amp;gt;) geophysical observations of subduction zones properties (e.g., gravity, bathymetric roughness, sediment thickness), and&amp;lt;em&amp;gt; c&amp;lt;/em&amp;gt;) the distribution of stress within the slab due to slab pull calculated from flexure models. These constitute the three types of nodes in the input layer of a Fully Connected Network (FCN) trained to classify earthquake magnitude embedding the state of the system (&amp;lt;em&amp;gt;b&amp;lt;/em&amp;gt;), the driving mechanism (&amp;lt;em&amp;gt;c&amp;lt;/em&amp;gt;) and the resulting seismicity (&amp;lt;em&amp;gt;a&amp;lt;/em&amp;gt;). We then analyse the trained network using Layer-wise Relevance Propagation (LRP) to determine the relative weights of the input nodes, providing relevant constraints on the mechanisms that dominate the seismicity in a region, their scale and likelihood.&amp;lt;/p&amp;gt;
Consider Multimodal Forms of Communication After the Pandemic

The familiar conveniences of information technology-time savings, mobility, economy, and flexibility-have become necessities for working and communicating during the COVID-19 pandemic. How can the water industry apply this new phase of technology to its best practices long after the pandemic has passed?
Understanding Cybersecurity Risk in FMI Using HPC

Financial market infrastructures (FMIs) represent a network of financial institutions that allow financial transactions to take place and impart financial stability to the market. It includes payment systems, central security depositories, security settlement systems, central counterparties, and trade repositories. All these components perform multiple tasks such as making payments, settling payment securities, trading, safekeeping, accounting, and controlling the market's security. This chapter examines the importance of financial market infrastructures and elaborates its essential components used to handle financial transactions and their security. It explores the high-performance computing (HPC) and its integration to FMIs to transform the financial industry by speeding up financial activities in the business and reducing fraudulent transactions. With the soaring benefits of integrating HPC into FMI, financial risks also come into picture. There are six main categories of financial risks in FMI that are equipped with several sub-categories of systemic, legal, credit, liquidity, operational, and custody and investment risks. All these financial risks pose several cybersecurity related issues that exploit cybersecurity objectives such as confidentiality, integrity, availability, accountability, and authenticity. Moreover, this chapter provides a descriptive as well as pictorial mapping of financial risks with identified cybersecurity issues. Finally, cybersecurity risks faced by FMI are introduced with comprehensive details on risk assessment, analysis, monitoring, reporting, and mitigation. Following are the main contributions of this chapter: Introducing financial market infrastructures and characterizing its relationship with high-performance computing. Identifying current cybersecurity issues related to HPC in FMI and bringing forward the less discussed cybersecurity issues. Mapping financial risks faced by FMI with security objectives to pin down cybersecurity issues in various FMI risks. Presenting cybersecurity risks faced by financial institutions, especially financial market infrastructures. Instigating cybersecurity risk assessment, analysis, monitoring, reporting, and mitigation in FMI.
The Message Broker

In Chapter 4, we chose MQTT as our messaging protocol. We are going to use the Mosquitto program as a broker for this purpose. In this chapter, we elaborate more on MQTT and cover the following:
DEVELOPMENT AND VALIDATION OF E-LEARNING EDUCATION MODEL IN COVID19 PANDEMIC, FOR SUSTAINABLE HIGHER EDUCATION: A CASE STUDY

The COVID-19 pandemic has had a global impact on higher education. E-learning systems have become an essential tool in the teaching and learning processes of education and they have become essential in this educational context. Accordingly, this study highlights the factors which have influenced how students perceive their academic performance during the COVID lockdown. This paper try to study how COVID-19’s impact on students’ learning effectiveness. We explored the factors influencing on students perceived this period of changeover to e-learning. We survey and present a model for measuring success of e-learning systems based on the DeLone & McLean (2003) information systems model, the technology acceptance model (TAM) and the E-learning Acceptance Measure (ElAM). As a result, the goal of this study was to develop a new paradigm by combining the three theories. A total sample of 200 students from a public secondary school participated in this study. We surveyed students using the structural equation modelling PLS-SEM approach. In general, the model gave quite consistent results and the impact of e-learning quality on the students’ performance is related by their satisfaction with e-learning. The findings provide a basis for policy recommendations to support decision-makers incorporate e-learning issues in any similar circumstances.
Back to Basics: The Didactic Functions of the ELI Method

At a historical moment in which educational institutions and teachers are rethinking their way of working as a consequence, among other factors, of the crisis created by the Covid-19 Pandemic, the authors propose the fulfillment of seven didactic functions that, according to their research, increase the probabilities of developmental learning as a viable way of working the “potential development zone” and with it the real educational attention, despite the form of organization of teaching: face-to-face, virtual, distance, through case study, problem solving, projects, etc. What essentially guarantees learning are the didactic functions of what the authors call the “ELI method”.
The Sellarsian fate of mental fictionalism

This chapter argues that mental fictionalism can only be a successful account of our ordinary folk-psychological practices if it can in some way preserve its original function, namely its explanatory aspect. A too strong commitment to the explanatory role moves fictionalism unacceptably close to the realist or eliminativist interpretation of folk psychology. To avoid this, fictionalists must degrade or dispense with this explanatory role. This motivation behind the fictionalist movement seems to be rather similar to that of Sellars when he came up with the Myth of Jones, his proto-theory of mental concepts. He was faced with the problem of preserving the explanatory status of mental concepts without turning them into proper theoretical entities. By introducing the Sellarsian proto-theory of concepts related to the mental and outlining its main points, this chapter aims to provide a critique of the two versions of mental fictionalism that are arguably the strongest: Adam Toon’s prop-oriented pretence theory and Tamás Demeter’s expressive storyism.
DEVELOPMENT OF DIGITAL COMPETENCE IN THE FIELD COMPUTER SCIENCE

The aim of this paper is to analyse the content of the field Computer science in the Czech curriculum in the context of the development of digital competence. The change of curriculum documents in education is currently being solved in the Czech Republic. The changes of the national curriculum appeared in 2021 and brought a new field Computer science instead of the former field Information and communication technology. These changes are valid for primary and lower secondary education. In the near future, probably in 2022, the changes will be introduced in higher secondary education as well. The new curriculum moves away from focusing on device and application control skills and, conversely, focuses more on the development of computational thinking and understanding principles of digital technologies. Besides, this new concept means for school practice less focus on the development of digital competence mainly (or only) in computer and ICT oriented subjects.In addition to this essential curriculum change, the new key competence Digital Competence is also being implemented in the national curriculum, thus the importance of digital literacy and its development is being increased across all educational fields and subjects. According to these changes at the curriculum level, schools need to solve many challenges and problems which arise in practice, including how to find the effective way and concept how to cover the development of digital competence in related or all subjects.This study focuses on the analysis of curricular documents from the perspective of the possibilities of development of digital competence in the field Computer science and tries to point out the main and marginal intersections between Computer science and digital competence, its sub-areas or themes. It summarizes the topics that relate to digital literacy and computational thinking based on the documents´ analysis at the national level. Among others Programming and Technical troubleshooting can be identified as these topics.The study also deals with the identification of aspects that are important for the effective implementation of the above-mentioned curriculum changes in school practice. We can mention the thinking of including digital technologies in teaching, a form of didactic transformation of new content or the readiness of teachers and pupils.
Study on Difficulty-Level Classification for English Writings

This study extracts eleven types of attribute from English text data, with the aim of classifying English text according to level of difficulty by learning and categorization. Using the method of “leave-one-out cross-validation,” text is subjected to machine learning and categorization. E-books have recently gained in popularity. As the quantity of e-books grows, the effort of manually categorising all of them takes a long time. When English sentences are classified according to their difficulty level, it is possible to recommend a foreign-language book that is appropriate for the reader's level of English proficiency. In order to improve accuracy, furthermore, an experiment is carried out in which the size of text data is varied, and the attribute selection method is implemented. As a result, accuracy is improved to 77.04%, and F-measure to 63.96%. In addition, erroneous identification resulting from the impact of columns between sentences is also noted.
DIGITAL TRANSFORMATION OF EDUCATION IN RUSSIA AND PSYCHOLOGICAL BARRIERS OF PARENTS WHOSE CHILDREN STUDY IN PRIMARY SCHOOL ONLINE

There are undoubted benefits of remote studies, such as availability, convenience, timesaving for transportation and other things. But active implementation of distant learning as the only possible means of learning in conditions of Covid, and the stress connected with it, has its impact.Thus, Moscow school children, since 2020, while being under quarantine, use a distant format of learning. And this brings challenges not only for teachers, but also for school children’s parents. Distant learning of children in primary school raises new questions in front of parents, related to organizing the conditions for children’s learning, such as: organization of access to the Internet, increase of their own technical competence for logging on to educational programs, necessity of changing their own work schedule or organization of persons who will be next to child of primary school at home during the process of remote learning for ensuring child’s safety and support.Such learning has many advantages and probably disadvantages too, which are still to be identified by means of extensive investigations in Future. More and more spheres of life, business are realized with the aid of the Internet. The world like depends on the Internet. Obviously, one who wants to be in high demand in Future is in need of new skills and competences. That’s why, apart from Electronic, remote learning, in Russia, at the level of legislation there are discussions about creation of a digital environment for receiving the respective skills.The author has analysed the existing legislation and petition for the attention of the Russian Federation government, chats, forums, made the online poll, and defined the basic psychological barriers, which come up among parents of children in Russian primary school when those get transferred to remote learning at the time of quarantine. Psychological barriers also include distrust, feeling of insecurity, frustration, and anger.Author supposes that the psychological barriers of parents, when their children pass to the remote format of studies, can have a negative impact on the performance of their children.
Genesis of the problem formation of digital intercultural competence in the period from the 1970s until the early 2000s

The analysis of works on the problems of vocational education pedagogy made it possible to highlight the crisis points in its development, associated, first of all, with the inconsistency of the educational results content with the requirements of employers and the priorities of state policy in the field of digitalization and innovation. The system of forming employees' key competencies has become one of the priority conditions for the creation and effective functioning of the Russian state innovative economy. The active and widespread introduction of modern science-intensive technologies leads to an increase in the requirements of the state and society for the qualifications of university graduates, the level of their intercultural competence, and readiness to master new approaches to professional activity. These factors explain the close attention of scientists and specialists from different branches of knowledge and areas of pedagogy, psychology, public administration, sociology, informatics, etc., to the problems of intercultural training of future specialists in the context of globalization. The article proposes the periodization of the development of the problem of forming digital intercultural competence, the identification of characteristic trends at the second stage of the problem development, the identification of socio-cultural, historical, scientific and theoretical prerequisites for its formation and development. At the same time, the etymological complexity and diversity of the research problem led to the identification of historical trends in several directions: emergence of information society; formation of the competence nature of the higher education system; development of the problem of forming intercultural competence.
THE IMPLEMENTATION OF THE SCRATCH APPLICATION FOR IMPROVING THE DIVISION SKILL IN MATHEMATICS CLASSES IN THE SECOND GRADE OF PRIMARY SCHOOL

Information about the paper titled "THE IMPLEMENTATION OF THE SCRATCH APPLICATION FOR IMPROVING THE DIVISION SKILL IN MATHEMATICS CLASSES IN THE SECOND GRADE OF PRIMARY SCHOOL" at IATED Digital Library
Secure Text Transfer Using Doubly Encrypted Chat Application Based on Cloud

One of the most important ways to preserve information security is to use cryptographic techniques. It provides digital signature, authentication, secret sub-storage, system security, and other capabilities in addition to keeping the information confidential. As a result, the encryption and decryption solution can secure information secrecy, as well as information integrity and certainty, to avoid tampering, forgery, and counterfeiting. The security of encryption and decryption algorithms is determined by the algorithm's internal structure and mathematical rigour, as well as the key secrecy. The key in the encryption algorithm plays a crucial role; if the key is released, anybody may use the encryption system to encrypt and decrypt data, rendering the encryption process ineffective. As a result, the encryption and decryption solution can secure information secrecy, as well as information integrity and certainty, to avoid tampering, forgery, and counterfeiting. The security of encryption and decryption algorithms is determined by the algorithm's internal structure and mathematical rigour, as well as the key secrecy. The key in an encryption algorithm plays a critical role; if the key is released, anybody may use the encryption system to encrypt and decrypt data, rendering the encryption technique ineffective. As a result, throughout the encryption and decryption process, the type of data you pick to be a key, how you disseminate the private key, and how you preserve both data transmission keys are all critical considerations.
An Analysis on the Korean History-Related Questions in the Recent University Enterance Examinations of Japan

This paper compared and analyzed the Korean history-related questions covered in the two tests, including the purpose and test method of the University Enterance Examinations of Japan(‘Center Test’) conducted in 2020 and the Common University Enterance Tests(‘Common Tests’) conducted in 2021 by National Center for University Enterance Examinations. Common Tests and Center Tests have many similarities, first of all, in that they have a common purpose of "evaluating the basic abilities of high schools and determining the qualities required by universities," and the examination process has been held by several committees over two years. However, despite these commonalities, what changed most of all in Common Tests was the form of questions in which ''the scene of learning'' was conceived as shown in the basic idea of writing questions. Therefore, there were many forms such as conversational texts and presentations. In addition, various materials such as newspaper data, historical records, and maps were used. In this respect, the Common Tests overcame some of the problems of the Center Tests and was successful as a new test system. In addition, the questions related to Korean history are meaningful in that they have increased significantly in quantity, and it is not difficult to estimate that this was influenced by the trend of the third generation Korean Wave. However, the Common Test still seems to be a problem centered on memorization, and the form of description in which the facts of Korean history are listed together with Chinese history should be changed.
Geospatial analysis of thermal and structural data for the characterization of shallow geothermal systems: the Parco Naturalistico delle Biancane (Tuscany/Central Italy) study case

&amp;lt;p&amp;gt;Geothermal energy plays a major role in the energy transition context. This presents a constant increasing rate in electricity generation, even if it today represents a smaller part of the renewable energy package. To sustain this natural resource, it is necessary to better understand the geotectonic framework of key places that are historically relevant in terms of innovation, exploration and development of geothermal energy resources. These places represent strategic cases study: i) to better understand the surface manifestation related to a geothermal area; ii) to test new methodologies that can help in the monitoring and identification of new natural resource; iii) to better understand the geodynamic context that characterizes the geothermal area in terms of thermal anomalies, soil alteration, stress field, and fracture distribution inducing secondary permeability.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This work is linked to a PhD project focused on Parco Naturalistico delle Biancane (PNB) area, in southern Tuscany (Italy), the main Italian geothermal region, where geothermal energy production started in 1916.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The aim of the project was to merge original remote sensing techniques and classical structural geology field data to improve the knowledge of the geological setting of PNB geothermal area. Deepening the confidence on this methodological approach, some considerations on its exportability has been carried out. According to the methodology a remote sensed analysis has been performed, leading us to highlights the correlation between the morpho-geological and geothermal features, in terms of thermal anomalies. An automatic lineaments detection has been done by analyzing Digital Elevation Model (DEM) and Land Surface Temperature (LST) maps derived from Landsat8 satellite data. The results obtained by this analysis highlights the NE-SW lineaments domain as the most relevant from both point of view: thermal and structural. The analysis shows a good relationship between the two datasets and allowed to understand how tectonic setting acts on shallow fluid circulation. These data have been compared with the field structural data including faults, joints, fault-synthetic cleavage, shear fractures and beddings. A multi scale spatial analysis has been conducted and includes: the structural data distribution, density of the geo-morphological lineaments derived from the DEM, LST maps, high resolution surface temperature map, and surface classification map (based on ground spectral data acquired in the field). In this spatial analysis each dataset has been considered as a single, independent layer of information, and the spatial distribution of the &amp;amp;#8220;anomalies&amp;amp;#8221;, recognized in every layers, allowed us to identify and to define the areas that are strategically relevant to understand how a shallow geothermal system works and how to improve it.&amp;lt;/p&amp;gt;
E-Food Ordering System for AIET

The purpose of this research is making an ordering food application based on android application and website for the same with new order, payment and tracking order features. It is mainly designed for use in the food industry. The application allow people to place any order in hostels and restaurants. The customer can view the menu from selected hotels or restaurants in just few minutes. The result of this research is an ordering food application for customer, and a website for restaurant and admin user. The conclusion of this research is to help customer in making order easily, to give detail information needed by customer, to help restaurant in receiving orders and to prepare the same. Index Terms — PHP, MYSQL, WAMPP, CSS, JAVASCRIPT