Reviewerly/exHarmony huggingface dataset:
Rendering Optimization Approach for Game Engine Development

The article is devoted to the problem of creating a software tool for optimizing rendering in game engines, which will help users to quickly and easily configure their projects. The tool provides a centralized simple interface to the rendering tools built into a game engine. The key possibility of the tool is the management of visual effects, such as Bloom, Volumetric Shadow, Ambient Occlusion, etc. There is also an opportunity to use profilers and get a critical information for project optimization.
G. Hauptmann’s Dialogue with Antiquity. Late Drama ‘Iphigenie in Delphi’

The article is devoted to the problem of perception of the antique epoch by the late Hauptmann, which not only reveals in Hauptmann’s dramas a deeper sense of tragedy than that typical of his early works but also clarifies the writer’s personality, the creative process of his development as a writer, which involved reinterpretation of previous creations, their perception as a personal tradition to be reviewed and updated. The article aims to reveal the peculiar features of Hauptmann’s philosophical dialogue with antiquity in his later years; to reveal the character of the playwright’s philosophical self-reflection; to substantiate the princi-ples of the writer’s personal mythology; to conceptualize his new mythopoetic imagery; to show the im-portance of chthonic primacy for Hauptmann by the example of the drama Iphigenie in Delphi. The analysis found that, while maintaining the same view on antiquity from the standpoint of totalspiritualization, the playwright is engaged in a dialogue with the ancient era in which the main theme is the theme of immortality, underlying his subjective myth-making. It, being associated with the ancient subterra-nean forces of primeval awareness, which were considered by Hauptmann as the immortal foundations of all things, contributes to the revision of the principle of ancient mysteries –movement toward the light from the darkness. Hauptmann creates his own myth, the content of which is the exit from the light and the descent into darkness, which means for him a return to the roots –to the chthonic roots. They, being the beginning of all existence, are called on, from the dramatist’s point of view, to contribute to the new birth of the world and man. It was found that under the late Hauptmann’s pen, the world picture, presented in the context of the po-etic metaphor of the sunset, changed dramatically. The change in the mythological imagery, when the life of a sunny day is transformed into the life ofa moonlit night, follows logically from Hauptmann’s reflections about the invigorating mystery of natural mysticism and constitutes the essence of the new religion that is most fully revealed in the drama Iphigenie in Delphi. Agamemnon’s daughter, returning to the palaces of Hecate and Persephone, not only feels the need for her own overthrow but also perceives it as a kind of new revival of her own personality, lost before subjectivity. The attempt to find peace of mind in the light of day brings only suffering, while the entrance into darkness becomes for Iphigenie the supreme good, the obtain-ing of that very immortality the reflections on which permeate Hauptmann’s writings of the late period.
Wireless Sensor Networks with Elements of Artificial Intelligence for Medicine

The integrated digitalization of medicine, the use of the AIIoT (Artificial Intelligence IoT), and networks of medical wireless sensors offers new opportunities to remotely support the quality of life of chronically ill patients, the elderly, post-corona pandemic people and athletes and professionals with heavy physical or mental workloads. Wireless sensor networks and computer remote means of maintaining quality of life include smart wearable medical sensors and analog interface. The sensors are intended to monitor heart rate, respiration and blood pressure, determine skin moisture, patient's position and other medical parameters in real time. Miniature interfaces are intended for data acquisition, analog-to-digital conversion, data preprocessing of medical parameters received from wearable medical sensors and data communication to remote diagnostic center. The current state and prospects for the development of these tools are discussed in the publication.
ONLINE INTERNATIONAL LEARNING AT SLOVENE HIGHER EDUCATION INSTITUTIONS

Online learning has become a widely spread form of education, which has expanded even further with the outbreak of the Covid-19 epidemic. In this article, various approaches and definitions of terminology are discussed in the context of online international learning in relation to available information-communication technology (ICT) at Slovene higher education institutions, wherein the article places the online international learning activities in the context of internationalised curriculum. Results of the survey, which was performed just before the outbreak of the Covid-19 epidemic, in which 1,367 academics from all Slovenian higher education institutions, are presented in the article. It was found out that there are statistically significant differences among academics from different Slovene higher education institutions in terms of how often they implement international online learning with foreign institutions and how satisfied are the academics with the adequacy of ICT equipment and support at their home institution for the implementation of such international forms of online learning.
Performance of Stego Images Calibration Using Advanced Denoising Methods

Reliable detection of messages that are unauthorized embedding into cover files, namely digital images, is topical task today. Design of effective stegdetectors is complicated by limited prior information of used adaptive embedding methods that minimize cover image alteration during data hiding. Modern approaches for improving detection accuracy are based on usage either ensembles of stegdetectors, or advanced neural networks, which characterize by high-computation complexity. This makes them inappropriate for real scenarios where fast re-tuning for detection of unknown embedding methods is needed. The alternative approach for stegdetector’s design is based on modification of image pre-processing (calibration) methods, namely selection of methods for detection and extraction weak alteration of cover image features caused by message hiding. Special interest is taken to advanced methods for image denoising due to theirs high “adaptiveness” to statistical features of processed images that provide local processing of image’s regions instead of global ones. The work is devoted to performance analysis of Total Variation Minimization (TVM) technique usage of calibration of stego images formed by adaptive embedding methods. According to obtained results we may conclude that applying of advanced TVM-based denoising methods does not allow considerably improving stegdetector detection accuracy in comparison with usage of standard SPAM model. On the other hand, applying of component analysis, namely Principal Component Analysis, allows considerably improve Matthews Correlation Coefficient (up to 0.3) for stegdetector in case of processing real images from MIRFlickr dataset. This can be explained by “grouping” of cover image alterations caused by message hiding into single component with the smallest energy (singular value) that makes possible its easy removal.
The Level of Organizational Performance of Sports Institutions in the United Arab Emirates

The study aims to identify the level of organizational performance of the work of Emirati sports institutions from employees' point of view. The study relied on the descriptive analytical approach and a questionnaire as a tool for collecting data. The study sample consisted of (83) workers. The study reached several results, including: The level of organizational performance of the work of Emirati sports institutions from employees' point of view was moderate and does not meet aspirations to reach achievements at the Olympic level. Among the recommendations reached by the study is to give workers in Emirati sports institutions courses from international federations to develop their skills to keep pace with everything new in the science of sports management in order to ensure that sports institutions achieving their goals in the sports strategy for the year 2030 and working to establish projects that aims to adopt the sports talents of the youth to lead them to Asian and Olympic levels of competition
Blockchain Authentication Mechanism for Securing Internet of Things

Internet of Things is a recent potential advancement in an IT arena, consists of multiple smart things (devices) which are connected through a physical network. Cisco incorporation predicts that IoT network will connect 50 billion devices by 2020. Most of the industries are adopting IoT technology and because of its fast spreading, immense adoption and deployment current authentication mechanisms have serious disadvantages. For numerous reasons the security issues are the major hurdle in adoption and deployment of IoT on a large scale since it is highly vulnerable to attacks. In this paper we propose a Blockchain based authentication mechanism i.e. Ethereum which is a public blockchain as it has emerged as a technology that possess great capabilities of providing secure authentication, management and access control for IoT devices in a decentralized, trusty and flexible manner by creating a secure environment where the devices can identify and trust each other and only authenticated users are given permission to access them.
Interaction Between School and University: Experience of the Department of Childhood Pedagogy based at Gymnasium no. 7

The article identifies the main trends of pedagogical education, including the relevance of school-based university departments. The study underlines the significant role of school-based university department in providing interaction between schools and universities, primarily in organizing lifelong learning in the field of pedagogy, and enhancing practice-oriented pedagogical education. The purpose of the study is to analyze and justify the activity content of the school-based Department of Childhood Pedagogy in the areas of university-and-school interaction. Methodology and methods of the study. Based on the research of V. M. Anikina, O. V. Volokh, I. P. Gerashchenko, A. G. Zhukova, A. A. Radionova, A. D. Rulevsky, T. O. Solovyova, the conditions for the functioning of basic departments were determined, specific types of departments based on educational organizations were identified: with unilateral and bilateral cooperation; subject and interdisciplinary. The study is based on theoretical and empirical methods: review of scientific literature in the fields of psychology and pedagogy, analysis of the experience of the Department of Childhood Pedagogy based at the Municipal Educational Institution “Gymnasium No. 7”, which determines the importance of interaction between school and university in teacher training. The results of the study. The article presents the experience of Saratov State University in organizing industry-based departments. The main areas of activity of university departments based on educational organizations are identified. Particular attention is paid to the work of the Department of Childhood Pedagogy basedat Gymnasium No. 7. The text of the article lists the purpose and the main tasks and functions of the school-based department. It also presents the forms and methods of interaction between the school and the university. The work of the school-based Department of Childhood Pedagogy, its content and results are given in accordance with the following areas: educational and methodological, scientific and methodological, career guidance, etc. In the conclusion the paper states that the work of the school-based Department of Childhood Pedagogy contributes to the development of practice-oriented teacher training.
Activation of Learning and Cognitive Activity of Intending Teachers During tea Transition from Distange to Classroom Learning

Introduction. The study analyzes activation of the learning and cognitive activity of intending teachers in the context of transition from distance learning, that was carried out in universities of our country during the pandemic, to real classroom education. The purpose of the article is to show that under the conditions mentioned activation of learning and cognitive activity of intending teachers is of vital importance and has some new meaning. Methodology: concept of learning activity, approaches to organise education process (activity, competence, and personal ones). Methods of the study: theoretical – analysis of scientific literature on the problem, anal- ysis of educational programmes for Baccalaureat 44.03.01 (Pedagogical education) of different profiles; projecting educatiinal resources snd means aimed at activating learning and cognitive activity of intending teachers; practical – pedagogical observation, interview. Results of the study. The following components of the learning and cognitive activity of intending teachers are presented: the goal-setting, content-related, operational and activity-based, and evaluative components. The significance is attached to the fact that activation of the learning and cognitive activity of intending teachers is a holistic and complete process. It involves each of the components of the analyzed activity and ensures their consistent realization, starting with the goal-setting component and ending with the evaluative one. In accordance with these components, the article presents the ideas about the activation of learning and cognitive activity of intending teachers in the context of transition from distance to traditional classroom learning. The article concludes by stating that due to quite a long distance-learning period during the pandemic and the necessity to use distance-learning technologies, teachers and students have accumulated a lot of experience working with information and communication technologies. In the realities of the face-to-face classroom education this experience takes them to a new level of interaction in the process when intending teachers study the subjects included in the curriculum. This sets the aims of searching for optimal ways of activating their learning and cognitive activity.
Implementation of Coaching Techniques to Provide Persons with Disabilities with Psychological and Pedagogical Support

The article discusses the prospects of implementing the basic coaching techniques to provide students with disabilities with psychological and pedagogical support. The purpose of the article is to identify and evaluate the potential to use coaching techniques to teach students with disabilities in higher educational institutions. Methods. Participant observation was used as the main research method. We have attempted to introduce coaching techniques while consulting students on research work, writing term papers and completing practical assignments during internships. Research Results. The research has shown that coaching techniques are instrumental in increasing the autonomy of students with disabilities; additionally, they help to form the necessary experience of independent scientific activity; this experience enables students to set and adjust research goals, select the methods and evaluate the research results. Also, the implementation of coaching techniques encouraged students with disabilities to engage in social interaction within the higher education environment; besides, it motivated them to build life plans and fulfil them. Conclusion. Thus, the research demonstrates that university instructors may use coaching techniques in individual counseling of students with disabilities; coaching techniques stimulate the personal and scientific activity of students with disabilities, they encourage students to participate in scientific conferences and prepare publications.
Pelatihan Menulis Sastra Anak Berbasis Kearifan Lokal Pada Mahasiswa PGMI IAIN Palangka Raya

This service aims to provide knowledge and training in writing children's literature to PGMI IAIN Palangka Raya students. This community service was carried out in 5 meetings using lecture and writing workshop methods. Activities were held on May 29, 2023, May 31, 2023, June 6, 2023, June 12, 2023, and June 14, 2023, with 28 participants participating. The results obtained from this service show that using local wisdom ideas in the immediate environment is one way to develop writing skills. The result of this activity is the publication of an anthology/collection of children's literature stories by PGMI IAIN Palangka Raya students. Several types of local wisdom are raised, such as beliefs/myths that exist in Central Kalimantan society, community traditions, traditional games, traditional food, and traditional handicrafts. With this activity, it is hoped that it can improve students' writing skills, especially in writing fiction.
Data Analysis using Augmented Reality Visualization

In this paper, the authors describe the history of augmented reality and its applicability in scientific visualization and visual analytics. The study explores the benefits of using this technology for analysts studying spatial scenes and presents an advanced online platform for creating augmented reality projects used for educational purposes.
Film Review Sentiment Analysis: Comparison of Logistic Regression and Support Vector Classification Performance Based on TF-IDF

Film sentiment analysis is a process for evaluating a sentiment value that exists in film reviews, so that positive or negative responses from films can be identified. In this study, a sentiment analysis will be carried out on film reviews on IMBD. The analysis was carried out to find out which reviews were positive and negative from film critics. The method used to carry out sentiment analysis in this study is review analysis and processing with TF-IDF and a positive or negative prediction process based on reviews that have been processed using a logistic regression algorithm and support vector classification. The data to be used is film reviews on IMBD, which consists of 2000 data, which is divided into 1000 positive data and 1000 negative data. Which is where the data will be preprocessed first and split with a percentage of 70% training data and 30% testing data. In the prediction process using the logistic regression algorithm, obtaining a test accuracy of 80.61%. While the prediction process using the support vector classification algorithm obtains a test accuracy of 82.42%.
Implementation Chatbot on Discord for Information Assistance and Conflict Prevention

Discord, which was originally created for the gamer community, can now be found used by hobby groups and communities that are used for shared learning purposes. But the downside is the gamer culture that comes with it. Rude and toxic words that are synonymous with the gamer community should be avoided in study group communities. Meanwhile, the facilities for minimizing harsh and toxic words are still limited to word filters that can be tricked so that they can still be sent to the chat room. This can trigger conflict and interfere with learning activities together. This paper proposed an information assistance chatbot that is able to answer question, and conflict prevention with detection toxic sentences using pre-processing from NLP (Natural Language Processing) and text classification so that the chatbot is able to limit toxic sentences a little more accurately than the word filter feature alone. Also, Chatbots are given the ability to determine the value / level of toxic conversations so that they are had been able to determine the punishment action to be carried out by warning, suspending, or even being issued for the most severe cases. In addition, by looking at the frequency of sending messages from several senders, which indicates toxic, it was able to determine when the conflict occurs. The result shows that chatbot can work fine to answer question and detecting toxic include do punishment to toxic sender. With 10% error on detecting conflict and 30% error on answer question. That 30% error false positive on make an answer that should not be answered.
Research on the Application of Cloud Computing in Enterprise Credit Rating System

At present, in the context of the "Internet+" era, cloud computing has become the basic equipment in the era of digital economy, and the increasing improvement of the big data ecosystem has laid an important foundation for the development of cloud computing, and cloud computing has also catalyzed the rapid development of big data in the application field. This paper is based on the application of cloud computing to enterprise credit rating system, that is, the collection of enterprise information and behavior information through a distributed platform; The collected data is modeled and verified through the big data mining platform; Provide cloud desktops for credit rating applications through virtualization technology; Through the exploration of credit rating theory and credit rating model development. At the same time, combined with the related technology and theoretical knowledge of cloud computing, a credit rating solution model for cloud computing is found. The cloud computing application of the credit rating system was initially realized through VMware software.
A Study of Different Observation Models for Cooperative Localization in Platoons

Localization and perception for autonomous vehicles are often studied separately. However, they can be regroup on a dynamic map representing the environment of the vehicle. This dynamic map can be exchanged with other vehicles to be fused with their own dynamic maps to increase their accuracy. This paper presents a decentralized data fusion method for cooperative localization based on both Extended Kalman Filter and Covariance Intersection Filter. Different observation models of the relative measurements from the perception (Cartesian and polar relative poses, distances, bearings and relative yaws) are compared. The approach is tested on data for 10 vehicles generated from a real dataset and completed with a simulated perception.
A Contrastive Analysis towards English and Indonesian Noun Clauses

Main problem discussed in this study was the comparison of noun clauses in English and Bahasa Indonesia. The comparison aimed to find similarities and differences in the syntactic field that the noun clauses have in the two languages. This research applied contrastive analysis and the method was library research. The research instrument were noun clauses in English, Bahasa Indonesia and other linguistic issues especially books and internet citation supporting the main topic. The data analyzed by applying several theories in Content Analysis. This research found that English and Indonesian noun clauses cannot stand alone by themselves as sentences, they are introduced by conjunction and they need main clauses to produce sense. In terms of differences, English noun clause can function as objective complement but Indonesian noun clause cannot perform such function. English noun clause can be used as subject whereas Indonesian noun clause can be used as subject but introduced by any introductory words, the introductory word in English noun clause used as appositive cannot be omitted whereas the introductory word in Indonesian noun clause used as appositive can be omitted; the preposition in Indonesian noun clause used as object of preposition can be omitted whereas the preposition in English noun clause cannot be omitted.