Reviewerly/exHarmony huggingface dataset:
PELATIHAN DAN PENDAMPINGAN MEDIA PEMBELAJARAN BAHASA ISYARAT DI SLB NEGERI 1 PALOPO

Education is a universal right, including for children with special characteristics such as deaf students at SLB Negeri 1 Palopo. To support their learning, the use of interactive learning media based on information and communication technology, such as Augmented Reality (AR), is an effective solution. This Community Service aims to implement AR as an interactive and effective sign language learning medium for deaf students. This Community Service involves the introduction of student learning activities in sign language learning and the development of AR-based learning media products. The product is a mobile application that can be accessed using an Android mobile device. The implementation of learning media is carried out through the introduction of application features to teachers and students, as well as direct trials involving parental participation. The use of AR technology in learning media is also considered to provide an interactive and interesting learning experience for students. The implementation of Augmented Reality as an interactive sign language learning media at SLB Negeri 1 Palopo provides positive benefits in the learning of deaf students. This AR learning media can improve students' understanding of sign language in a more interactive and fun way. It also shows the potential of using technology in expanding educational accessibility for students with special needs, such as students who are deaf.
A Systematic Literature Review for Measure, Estimation, and Mitigation of Motion Sickness in Vehicle Environment

Motion sickness is a significant research topic that can impede the widespread adoption of Internal combustion vehicles (ICV), electric vehicles (EV), and automated vehicles (AV). As the technologies for EVs and AVs continue to advance, Numerous studies have been conducted to investigate motion sickness in vehicle environments considering more detailed driving contexts. Thus, this paper focuses on trends and findings related to methods, strategies, and theories for detecting, preventing, or mitigating motion sickness in vehicles. A total of 52 articles published within the last five years were reviewed to examine the overall trends in motion sickness measurement and evaluation. The results of this study are expected to provide a foundation for the development of motion sickness prevention and mitigation functions, thereby improving the driving experience for users by making it safer and more comfortable.
Možnosti uplatnenia gamifikácie a GBL (Game-Based Learning) v pregraduálnej príprave učiteľov

The aim of this paper was to examine the opinions of students of pedagogical programs on the issue of applying the GBL (Game-Based Learning) strategy in teaching. The starting point was the necessity of online education during the COVID-19 pandemic and the transition from face-to-face to online learning. This change brought the search for strategies that would motivate and activate students to learn. One such strategy is the GBL strategy. With help of self-constructed questionnaire, the opinions of the students of the UMB Faulty of Education in Banská Bystrica on the use of digital games in teaching and their opinion on whether they would like to learn how to create such games were determined. The findings of this study contribute to the ongoing research, which points to the possibilities of professional training of students of pedagogical programs in accordance with the integration of digital games into teaching.
Technologies for Web Animations and their Positive and Negative Sides Regarding Web Page Metrics

The development of web technologies has led to the availability of various multimedia content on the web. In addition to text, images, and videos, transitions, animations and interactivity are increasingly used. Transitions and animations present the content on the page in more interesting, attractive ways and can attract and retain users longer, improving the measurable parameters of page visits as well as the user experience. Animations on the web can be created in many ways. And if the animations are not executed well, they can slow down the page. The goal of this article is to compare the measurable parameters of animations created with different technologies. HTML, CSS, SVG, P5js, WebGL technologies and animations created with a 3D modeling tool were used. The article uses two different examples of animations created with different technologies and then tested on several devices.
Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction

The rapid growth of Cryptocurrency dramatically influences the social and economic climate that has developed the trends for investors to seek opportunities for generating income from cryptocurrency investment trading. Cryptocurrency is volatile in nature due to the interdependence of cryptocurrency, market noise and many dependent factors. This has gained the attention of investors to rely on prediction models to forecast prices. Researchers proposed and implemented prediction models that utilized machine learning, deep learning algorithms and sentiment-based algorithm hybrid models. Researchers deduced that deep learning algorithms can capture the dependency features of cryptocurrency to increase accuracy in price prediction. In this paper, we proposed a system framework namely, DLCFS (Deep Learning Cryptocurrency Forecasting considering Sentiment), for cryptocurrency price prediction that considers the market features, trading volume, and interdependency between cryptocurrency and market sentiments. We conduct price forecasting for Bitcoin, Ethereum and Litecoin using their price history, and Reddit Submissions of cryptocurrency. Additionally, we have inferred the results for the performance of prediction models comparing DLCFS against machine learning. Results show that DLCFS outperformed the regression machine learning in predicting the price of Bitcoin, Litecoin, and Ethereum, considering market sentiment, with Correlation Coefficient (R) being 99.18%, 96.82% and 99.05% respectively.
Exploring Data Wiping Practices in the Royal Malaysian Air Force (RMAF) HQ

Data wiping is a very important part of cybersecurity. It is the act of deleting data so that it cannot be recovered. The Royal Malaysian Air Force (RMAF) as part of the Malaysian Armed Forces (MAF) has also recognized the importance of data wiping in safeguarding national security. Senior staff officers at the RMAF headquarters, Ministry of Defence (MINDEF), are given laptops for work-related purposes. As such, the laptops might contain secret and top-secret work-related documents. When the officer is posted out from MINDEF, laptops will have to be returned. Malaysia is experiencing rapid economic growth and digital transformation, but it faces cybersecurity challenges that threaten its stability. Cyber threats come from various sources, leading to data breaches and other incidents. Data wiping, the secure erasure of data from storage devices, is crucial for protecting sensitive information. The Personal Data Protection Act (PDPA) requires organizations to implement data erasure measures. This paper aims to explore the current data wiping practices in the RMAF.
Cloud Service Provider Cost for Online University: Amazon Web Services versus Oracle Cloud Infrastructure

The number of Cloud Service Providers (CSPs) that provide their services differs from each other in terms of cost. This has made it difficult for companies and organizations to choose the best and least expensive cloud service providers. In light of the current crises that the world is going through and with the many financial problems faced by many companies, including Al-Madinah International University, it was necessary to take some measures that would mitigate the impact of financial problems, and therefore this study came to present a comparative study between each of cloud service providers Amazon Web Services (AWS) and Oracle Cloud Infrastructure (OCI) which provide Virtual Private Server (VPS) services in terms of cost to help Al-Madinah International University in making the appropriate decision in choosing the cloud service provider that suits its financial requirements.
Steps for Security and Privacy Protection in NLP-based Marking Systems

This paper provides an overview of the methods and techniques used to ensure the security and privacy protection of Natural Language Processing (NLP) based test scoring systems. NLPs improve the accuracy and efficiency of correction systems. However, these systems process sensitive data such as student responses, which raises security and privacy concerns. We examine the components of such a system and then propose measures such as access controls, homomorphic encryption, firewalls and blockchain mixed together to secure the system. Next, we safeguard privacy through methods such as differential privacy protection, anonymization and pseudonymization of data. In addition, we insist on the integration of a browser monitoring module to detect any cheating during composition. In this article we partly present a system called "GestStudent New Generation" in which we integrate most of the security concepts to secure the whole system and guarantee privacy protection. Finally, we conclude by stressing the importance of continuous evaluation of these security and privacy measures to ensure the trust and reliability of NLP-based examination marking systems.
PescaJ: A Projectional Editor for Java Featuring Scattered Code Aggregation

Conventionally, source code (and its documentation) is simultaneously a storage and editing representation, through files and editors to manipulate them as text. Over the years, IDEs have become increasingly sophisticated, providing features to augment the visible text content with helpful information (e.g., overlay documentation popups, inlay type hints), or on the opposite, to decrease it to reduce clutter (e.g., code folds on imports, documentation, methods, etc). This is a sign that the developers seek more convenient code editing forms than the direct manipulation of text files. We present PescaJ, a prototype projectional editor for Java projects that breaks away from file-oriented source code editing, providing the possibility of forming views that aggregate methods that belong to different classes, where single methods may be simultaneously present and edited in multiple views. Furthermore, we provide documentation editors, also aggregating scattered Javadoc comments, that can be used in parallel with source code editing.
Don’t Trust Your Profiler: An Empirical Study on the Precision and Accuracy of Java Profilers

To identify optimisation opportunities, Java developers often use sampling profilers that attribute a percentage of run time to the methods of a program. Even so these profilers use sampling, are probabilistic in nature, and may suffer for instance from safepoint bias, they are normally considered to be relatively reliable. However, unreliable or inaccurate profiles may misdirect developers in their quest to resolve performance issues by not correctly identifying the program parts that would benefit most from optimisations.
NO CODE ML: Partial Automation of Data Analysis

Machine Learning, a core facet of Artificial Intelligence and Computer Science, leverages information and algorithms to enhance learning and improve precision. The NoCode Machine Learning project presents a web-based application that empowers users to execute diverse machine learning tasks without manual coding. Its intuitive user interface caters to domain specialists, business analysts, and machine learning enthusiasts, enabling them to effortlessly upload datasets, preprocess data, train models, and evaluate performance. This paper seeks to conduct an in-depth analysis of the potential impact of the NoCode Machine Learning project on the Data Science Industry. It examines the application's features, usability, and performance, while comparing its efficacy against conventional code-based methodologies. The NoCode ML project stands as a pioneering endeavor, as it forges a code-free pathway to interact with ML algorithms through a graphical interface. The paper explores the pivotal steps in the machine learning process, encompassing dataset uploading, data preprocessing, model training, and evaluation, utilizing metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). Additionally, the NoCode ML project boasts a Tabler Dashboard, equipped with project management tools to track progress, milestones, and tasks. While the application demonstrates numerous advantages, it also faces certain challenges, such as limited model options and the necessity of external data preprocessing. In conclusion, the NoCode Machine Learning project emerges as a valuable tool, revolutionizing machine learning practices by rendering them accessible and dispelling the barriers of coding. It offers a user-friendly platform, propelling diverse users to wield the power of machine learning effectively and contribute to the ever-evolving landscape of knowledge and technology.
Semi‐blind demodulation algorithm for short burst FM‐MFSK based on STFT

Abstract In the blind reception of non‐cooperative signals in short‐time burst communication, signal time domain detection is the premise and key of signal modulation parameter estimation, signal demodulation, decoding, interpretation, information acquisition and interference guidance. In this paper, the semi‐blind demodulation method of short‐time burst FM‐MFSK signal is studied under the condition of low signal‐to‐noise ratio. A short‐time burst FM‐MFSK semi‐blind demodulation method based on STFT is proposed. When SNR is higher than 3 dB, the correct demodulation probability for FM‐MFSK signal can reach 90%.
To the question of socialization of the person as a strategic goal of the system of general and vocational education

Future of Russia depends on the reform of education. Therefore, there is an active search for ways to solve this fateful task. The most important condition for the success of this process is the choice of a conceptual framework capable of becoming the organizing and guiding force of the reform. Fragmented in parts, education must be assembled into a single system capable of adequately fulfilling the social order of society. The theory of functional systems, developed by Academician P.K. Anokhin, can act as a methodological basis for the reform process. The core of his theory is to obtain a result through the interaction of its components. This initiates the need to determine the desired result, which at the initial stage acts as a goal. The goal-result serves as the unifying mechanism that turns disparate components into a functional system. In our time, the world is changing so rapidly that the education of a new person becomes the most important strategic task of society and the state. Therefore, the result of the activity of education, as a functional system, is the socialization of the individual. This concept is widely used in the literature. But in this case, it is of an expansive nature, since along with the education of the worldview basis of a person, it also includes professional training suitable for achieving a decent standard of living in society. The most important conditions for reforming education in Russia are: 1) a rigorous scientific approach to creating an education model built on an adequate conceptual basis; 2) smart, responsible, professional political will of the state, which manifests itself not in the form of formally voiced catchy slogans — “education needs to be reformed”, but in the creation of a special management mechanism that is functionally capable of organizing large-scale scientific research to solve the problems of reforming education in the country.
Determination of the socio-philosophical foundations for the analysis of the concepts of education in the countryside

The transformation of educational processes is closely connected with the formation of a new ontology, which ensures the need to determine new socio-philosophical foundations for analyzing the concepts of education in the countryside. However, along with this, archaic tendencies play an important role, so in this case it is worth talking about a multi-vector approach to educational processes. Education is constantly changing and no trend is visible that would indicate that the process of their completion is nearing.
University Philosophy today: Teacher’s perspective

The article is devoted to the analysis of the current situation in the field of teaching philosophy in non-core (non-philosophical) areas of study. The article consists of two parts. The first part is a brief overview of the transformations that philosophy teaching has undergone in the post-Soviet period: in addition to analyzing the substantive and methodological transformations of the university philosophy course, changes in attitudes and educational practices used by teachers to introduce students to philosophical knowledge, various strategies for teaching philosophy are also considered. The second part examines the work programs regulating the teaching of this discipline, assesses the degree of their methodological and substantive innovation (compared with the previous Soviet period).
Methodological possibilities of the laboratory workshop

The questions of distribution of material studied in the course of general physics by types of training sessions (lectures, seminars and laboratory works) are considered. The subject of physics is discussed, as well as the basic concepts that reveal it. Definitions of physical quantities, physical laws and their evolutionary character are discussed. The main objectives of physics are formulated, and the role of methodological principles in shaping our knowledge of nature is noted. It is pointed out that the historical lecture course for modern students is the first serious experience with the subject of physics. The reasons why it is necessary to conduct laboratory workshop are explained. The methods of laboratory workshop are formulated. It is shown that laboratory workshops contribute to the development of cognitive processes and formation of general erudition of students, deepen and expand their knowledge, which facilitates the choice of professional orientation. An example of laboratory work is described, for which the ways of realizing such merits are discussed in detail.
Conditions of digital socialization of students of a regional humanitarian university

The article analyzes the process of socialization of students of the humanities university. Special attention is paid to the conditions of digital socialization of young people. The results and data analysis of the conducted sociological research are presented.
Modern university as quantorium and universum: Educational worlds of noospheric history

The article analyzes the problems of extreme transitivity of the modern university education as a competition between two historically established strategies — classical university (university as a universe of knowledge) and polytechnic (quantorium) university. The idea is substantiated that the co-evolution of the biosphere, sociosphere and technosphere, reflected in the global mosaic educational space, generates competition between various variations of the university consciousness and worldview. It is shown that the intellectual university history, as the information revolution unfolds, is gradually turning into a noospheric history, which assumes the explosive nature of the global human revolution in the 21st century. The conclusion is made about the formation of developed forms of “university cephalization” of humanity within the framework of university models of hybrid co-evolution of natural mind and artificial intelligence.
Using ChatGPT: A new challenge for education

This article discusses topical issues related to the implementation of the ChatGPT in the field of education. Many researchers agree that the introduction of ChatGPT in the educational sphere contributes to the implementation of personalized learning, increasing the efficiency of teachers and creating favorable conditions for the learning and development of students. Despite some advantages of using ChatGPT in training, it should not be considered as a reliable tool for gaining knowledge. It is shown that digital inequality in the Russian Federation is gradually being overcome, which further exacerbates the problem of threats to the use of ChatGPT in education. The most acute threats of using ChatGPT in education are analyzed: the problem of establishing the authorship of student work, the formation of distorted ideas about the world, the loss of critical and creative thinking by students, moral degradation. To overcome these threats, it is proposed: to return to work in the classroom, which will help solve the problems associated with professional socialization and the development of critical and creative thinking among students; change the requirements for writing term papers and final qualifying works; in some universities, final qualifying works should be abandoned in favor of state examinations; more actively involve students in scientific and research activities.
Mathematical analysis of the Royal Game of Ur

Abstract Despite many discoveries and proposals for rules for the ancient board game known as the Royal Game of Ur (RGU), no mathematical analysis has yet been performed investigating those rules. In an attempt to fill that gap, this paper presents an initial mathematical analysis of the RGU from an introductory point of view. The paper deduces the overall complexity of the RGU using a state-space and game-tree complexity analysis, allowing the RGU to be compared to the popular games Checkers, Backgammon, Ludo, Chess, and Go. The paper builds upon the fundamental laws of combinatorics and probability to improve the understanding of the game: what patterns should you expect, what moves increase your chance to win, and what moves should you avoid. The paper also presents theorems to predict the probability of future dice rolls and piece movements within the game, allowing basic inferences to be made about strategy in the RGU. The game is further examined by analysing three different influences when determining the best move: advancement and attack (beneficial to the player), and captures (detrimental to the player). These influences are used to deduce explicit equations for the advantage gained by playing each possible move from a position, which allows the formalization of a strategic algorithm to play the RGU.
Efforts to increase English vocabulary skills using puppet theater and flashcards at TK Islam Amaryllis, Cibubur

This community service activity aims to increase English vocabulary in daily life for the kindergarten level at TK Islam Amaryllis, Cibubur. At the kindergarten stage, aspects of physical and psychosocial development are needed, which include intellectual, language, motoric, and social-emotional development. Besides that, especially the introduction of English vocabularies. Socialization, demonstration, and practice (with puppet theater and flashcards as media), and evaluation are the stages carried out in this program. The result is that students at TK Islam Amaryllis, Cibubur, have increased their knowledge of English vocabulary, which can be used for further levels of education by using or demonstrating learning media, namely puppet theater and flashcards.