Reviewerly/exHarmony huggingface dataset:
TECHNOLOGIES OF BLENDED LEARNING IN THE PERIOD OF FUNDAMENTAL SOCIAL CHANGES IN UKRAINE

The article analyses the peculiarities of blended learning in the period of cardinal social changes in Ukraine. The concept, place and role of blended learning in the modern educational process are revealed, where blended learning (translated from English "blend" – "to mix") combines traditional learning with distance and online methods, through offline and online formats. The article highlights the advantages of this technology of the modern educational process, in which the student, communicating directly with teachers and other students, and independently online, learns part of the educational material using modern gadgets in a convenient place, at a convenient time and at his own pace, as one of the factors of a higher level of motivation for learning. This is not distance learning – when a student receives little help from a teacher and appears at an educational institution only for exams; but it is also not learning exclusively with a computer, because he or she is part of a study group and should develop simultaneously with other students The article analyses models of blended learning technologies with their characteristics. The article pays special attention to such a model of blended learning as "flipped learning", in which the traditional idea of classroom learning is inverted in such a way that students get acquainted with the educational material before class, and the time in the classroom is then used to deepen understanding through discussions with classmates and problem-solving activities conducted by teachers. The article emphasises the importance and necessity of using blended learning technologies in the educational process as one of the most effective technologies during the COVID-19 pandemic and the military period in Ukraine. The conditions of use for learning, motivation, and improvement of digital competencies of both students and teachers, which are necessary for blended learning, are outlined.
INTERACTIVE STRATEGIES FOR DEVELOPING THE READINESS OF FUTURE TEACHERS OF HIGHER EDUCATION FOR PROFESSIONAL ACTIVITIES

The article talks about the fast spread of interactive, discussion and role-playing forms of collective learning in combination with student research projects and the use of electronic means and technologies. The interactive strategy has the following characteristics: a) training is based on the interaction of the subjects of training, the environment which is the space for the application of acquired experience; b) the educational process changes the interaction of learning subjects, so the activity of the teacher is inferior to the activity of the student where the main task of the teacher is to create conditions for increasing the student's initiative, understanding, reflection, application in practice. A teacher who aims to use interactive technologies in pedagogical activity must develop methodical support for pedagogical activity. It is necessary to have regulatory and organizational support for providing educational process, in particular, it is necessary to have educational and methodological documentation that regulates the teacher's activity: working curriculum, educational program, working program of the educational discipline, etc.; secondly, instructional and methodical support – that is explanatory and instructional documentation which ensures the effective inclusion of education seekers in the educational process with teaching support at all stages of its implementation (instructions and methodical recommendations (forum, chat, classroom, etc.), methodical materials for students on the implementation of various types of educational activities (testing, writing essays, project activities, etc.); thirdly, educational resource support is printed, electronic and software resources that are intended for use directly during education (printed and electronic manuals, materials of lectures, presentations, test programs, etc.). The most effective way of reproducing the acquired competences remains the practical realization of the potential of education seekers during the period of assistant practice: individual or group consultation, conversation-training, "educational event", coaching, webinar, assistant internship, etc.
Breathless: A Sensor-to-Sound Performance

This proposal draws on the conglomeration of several layers of affective markers collected from my body while watching the audio-visual feed of protests in Iran for a period of 6 months. Statistical analysis and machine learning were the techniques I implemented to process biosignals collected using wearable physiological sensors and audio recordings of my respiratory gestures. The goal for such processing was to make sense of the time-series data towards a sound performance modulated by my live biological signals activated by watching visually manipulated footage of the protests. While adopting a critical and problem-oriented lens, my project draws on a critique of data-driven media art practices that make unquestionable use of data processing techniques to open up grounds for alternative treatments of data that builds critical possibilities.
Re-experiencing Street Signage with Augmented Reality around the City of Macau (S.A.R)

Macau is widely regarded as a tourism-oriented city, thanks to its captivating and numerous buildings and architectural structures on the World Heritage List. So we have to understand how to appreciate this advantage, which only existed in Macau, and express this unique culture to visitors to keep attracting more tourists to Macau. Given that the next generation will almost certainly use digital devices, including digital art in the Macau historical rehabilitation project would be exciting. This effort achieves two important goals: first, it provides a more improved and enriching way to experience Macau, and second, it assures the preservation and conservation of its original legacy. Macau's street signage is unique and incorporates a captivating style of porcelain painting technique. It highlights the tremendous significance and value that street names have carried since their execution, adding to the rich fabric of Macau's Intangible Cultural Heritage. Because of that, it presents an intriguing opportunity for study and experimentation. My concept revolves around the re-imagination of street signage by using digital illustrations and Augmented Reality (AR) technology, which is a new trend being used in many Heritage sites around Asia [1] which brings the user a new experience when travelling around the city, providing users with a different experience when visiting Macau.
A Critical Review of Digital Experiences in Cultural Institutions: Is Digital Experience a Traction or Distraction Strategy?

There has been an increase in the use of digital technologies for the display of art and cultural heritage in cultural institutions in order to enhance the experiences of their visitors and attract new audiences. Due to the introduction of new technologies and the ongoing improvement of existing ones, digital cultural experiences are transforming at a rate that is much faster than ever before. Therefore, it is necessary to acknowledge the current utilization of digital technologies in cultural institutions, what they are used for, and what the drawbacks of using these technologies are. This article reports on the recently implemented digital approaches spanning 11 categories in cultural institutions and analyzes the opportunities and challenges presented by these approaches. This article contributes to the ongoing discussion about implementing digital technologies in cultural institutions and challenges those institutions to use digital technologies in a responsible manner.
Virtual Reality in Empathy Towards Non-Human Being

This paper explores the potential for virtual reality (VR) to foster empathy towards non-humans. It examines how VR's unique characteristics of immersion and embodiment foment empathy by allowing users to perceive and interact with virtual environments from a novel perspective. This is achieved by using virtual reality film technology to specifically create a chicken's eye perspective. Through the design and implementation of captivating narratives and display outputs, the project develops an immersive VR experience that is close to a reality from non-human perspective. Participants' levels of embodiment and empathy are evaluated using a Likert scale survey, yielding valuable information on emotional engagement. The conclusion of the paper examines the project's discussions, limitations, and future directions, highlighting the significance of virtual reality as a tool for cultivating empathy and understanding towards non-humans.
A Bibliometric Review of Analyzing the Intellectual Structure of the Knowledge Based&amp;nbsp;on AI Chatbot Application from 2005–2022

This research approaches the problem of artificial intelligence chatbot applications from a new perspective. With the development of innovation, many firms are using artificial intelligence chatbots to manage their business and build relationships&amp;nbsp;with their customers. Thus, this study aims to offer bibliometric assessments of the expanding literature about AI chatbot services. We used the VOS Viewer software to analyze the data based on Scopus from 2005 to 2022.&amp;nbsp;We extracted and examined the data from several AI chatbot service bibliometric reviews. Given the data, we form 571 peer-reviewed papers from the journal. After analyzing the data, the researchers found the most influential work, authors, and co-cited authors on AI chatbots. Similarly, the researchers, based on the author’s co-citation analysis and the intellectual structure, distinguish between “computer science”, “chatbot service”, and “digital health”. Computer science is the most critical discipline regarding AI applications.
Assessment of various GPT Models versus the human text: a quantitative analysis of lexis and cohesion

The aim of the paper is to analyse select lexical parameters and text cohesion of academic texts automatically generated by several OpenAI LLM models (GPT) in order to (1) investigate the quality of GPT output relative to the original text; (2) compare the quality of various GPT models. The material used in the study comprised a fragment of a research article. The method of analysis involved NLP-based text analysis tools that focus on the examination of various lexical and text cohesion parameters. The study shows that the similarity between AI-generated texts and the text written by the human author is very high and that there is no single model which would achieve the highest values for all linguistic indices.
Using innovative devices in intermediate level of programming education

Several Hungarian and foreign research and experiments have already proven the effectiveness of programming education supported by innovative devices. These experiments have largely focused on the beginning learning cycle. With our shortterm research we wanted to investigate whether the positive consequences of the use of these devices can be experience at the intermediate level of programming learning. In the framework of the course for second semester students BSc students in Computer Engineering at the John von Neumann University, they could try out the practical implementation of elementary programming theorems with programmable robots. The focus of our study was to investigate whether the tool-based form of teaching had a positive effect on the completion of the compulsory Algorithms subject. This study is the first step in a series of research studies.
Facilitating Experimental Reproducibility in Neural Network Research with a Unified Framework

In the realm of neural network research, achieving experiment reproducibility is paramount for building upon existing knowledge and advancing the field. This paper examines a multi-agent neural network framework on its ability to facilitate the reproduction of experiments. Also, we address the reproducibility problem when there are data or source code limitations. The framework offers crucial functionalities for facilitating experiment reproducibility achieved through data, layer outputs, architectures, and weights exchange among the framework's agents. Through the integration of these functionalities, this framework empowers researchers to reproduce and validate experimental results consistently, fostering a more robust and collaborative research environment in the field of neural networks. The experimental results demonstrate the framework's reproducibility abilities. Furthermore, we test the framework in terms of reproducibility in an emergency natural disaster management situation. Finally, we analyze how the privacy limitations of the original neural network affect the reproducibility results.
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision

Deep learning methods are transforming research, enabling new techniques, and ultimately leading to new discoveries. As the demand for more capable AI models continues to grow, we are now entering an era of Trillion Parameter Models (TPM), or models with more than a trillion parameters---such as Huawei's PanGu-Σ. We describe a vision for the ecosystem of TPM users and providers that caters to the specific needs of the scientific community. We then outline the significant technical challenges and open problems in system design for serving TPMs to enable scientific research and discovery. Specifically, we describe the requirements of a comprehensive software stack and interfaces to support the diverse and flexible requirements of researchers.
POTential in POT: Insights and practical application

This opinion paper discusses the application of peer observation of teaching (POT) in speech-language pathology (SLP) educational practice. POT can enhance professional development in teaching and learning through the process of observing teaching in practice. It can assist educators to develop critical reflection and selfawareness and gain insights into their teaching performance. Traditionally, POT has been described in higher education health professional literature and less in clinical education. This paper focuses on my experiences of POT in the roles of both the observer and observed and discuss possible application in clinical education. POT has potential to enhance clinical educators' development in effective teaching practices and consequently improve student and educator outcomes.
CONTRIBUTIONS REGARDING THE IMPLEMENTATION OF COMPUTER INCIDENT MANAGEMENT IN A PUBLIC ORGANIZATION PROVIDING SERVICES TO CITIZENS

The scientific work presents research on implementing computer incident management within a public organization providing services to citizens. The increasing digitization of activities in the public sector brings many advantages, such as efficiency, increasing the quality of services, and shortening working times. On the other hand, digitization can be achieved with extensive technology with equipment used within the local IT network to carry out activities, store databases, and interconnect with other IT systems. All these equipment and computer systems have a certain degree of vulnerability, and there is a risk of computer incidents. The research proposed by the authors comes up with proposals in this field of computer incident management, offering solutions by carrying out a procedure for solving a computer incident. Following the research, several policies have been implemented on the servers in the local network at the level of the entire local domain and the implementation of policies at the level of each workstation in the organization's local network to avoid computer incidents such as cyber-attacks. Backup solutions have been implemented on a NAS-type device to eliminate the risks of computer incidents during a hard disk failure or data loss. Solutions have also been implemented to eliminate the risks of computer incidents due to the failure of computer devices within the local network following problems that may occur with the electricity supply network. The research identified and found solutions to eliminate some vulnerabilities in the wireless network, which can lead to computer incidents. At the paper's end, conclusions from this research are presented.
QR Mirror and QR Stitchers: Audiovisual Installations inspired by QR codes

QR Mirror and QR Stitchers are two audiovisual installations that explore the graphical and morphological properties of QR codes as an aesthetic object. Unlike the usual function of QR codes as an intermediary mechanism to link to a destination or final digital object, in QR Mirror and QR Stitchers the QR code itself becomes the final object, presenting a distinct exploration that somehow seeks to transform and deconstruct the original function of the code, giving it a new readability and a new meaning.
Deep Fake Face Detection Using Long Short-Term Memory with Deep Learning Approach

Strong and effective detection techniques are desperately needed to lessen the possible effects of disinformation and manipulation as the frequency of deepfake videos keeps rising. The use of Long Short-Term Memory (LSTM) networks for deepfake video detection is examined in this abstract. Recurrent neural networks (RNNs), such as LSTM, are a viable option for analysing dynamic movies because of their ability to capture temporal dependencies in sequential data. The study explores the complexities of using LSTM architectures to identify deepfake films and highlights the need of comprehending the temporal patterns present in manipulated information. Preprocessing video data as part of the suggested methodology entails producing training datasets of the highest Caliber and using data augmentation methods to improve model generalization. To attain the best results in deepfake detection, the training procedure and LSTM network-specific optimization techniques are investigated. Evaluation criteria including recall, accuracy, precision, and F1 score are used to evaluate how well the model works to discern between modified and authentic content. The abstract also covers potential directions for future study to strengthen the resilience of LSTM-based detection systems, as well as difficulties and constraints specific to deepfake detection, such as minimizing false positives and negatives. The results of this study have significance for practical uses, especially when it comes to social media and video hosting services, where the incorporation of LSTM-based deepfake identification can enhance online safety and security.
Integer Factorization – Cryptology Meets Number Theory

Integer factorization is one of the oldest mathematical problems. Initially, the interest in factorization was motivated by curiosity about be­haviour of prime numbers, which are the basic building blocks of all other integers. Early factorization algorithms were not very efficient. However, this dramatically has changed after the invention of the well-known RSA public-key cryptosystem. The reason for this was simple. Finding an efficient fac­toring algorithm is equivalent to breaking RSA. The work overviews development of integer factoring algorithms. It starts from the classical sieve of Eratosthenes, covers the Fermat algorithm and explains the quadratic sieve, which is a good representative of modern fac­toring algorithms. The progress in factoring is illustrated by examples of RSA challenge moduli, which have been factorized by groups of mathemati­cians and cryptographers. Shor's quantum factorization algorithm with poly­nomial complexity is described and the impact on public-key encryption is discussed.
APPLICATION OF DEVELOPMENTAL LEARNING TECHNOLOGY IN THE PROFESSIONAL TRAINING OF STUDENTS OF HIGHER EDUCATION INSTITUTION

B a c k g r ou nd . National education is going through a stage of critical and at the same time constructive rethinking of reality, which is connected with a deep transformation of all spheres of social life. The cognitive-informational approach to the selection of the content of education is inferior to the socio-cultural one, and the monologic style of the teacher's pedagogical interaction is to the developmental one. In general, education is increasingly organized not according to the principles of acquiring certain knowledge, abilities and skills from the foundations of science (knowledge paradigm), but according to the laws of social-psychological interaction (personally oriented paradigm), the substantive basis of which is a developmental approach. Therefore, the theory and practice of developmental education acquires special importance. Purpose and tasks. The purpose of the article is to substantiate the technology of developmental training in the training of future specialists in institutions of higher education. Task: to reveal the essence of developmental learning technology, categories "developmental learning", "developmental learning technology"; to determine the organizational and pedagogical conditions of developmental education in institutions of higher education. Re su lt s . Pedagogical technology of developmental training of future specialists in higher education is disclosed; the organizational and pedagogical conditions for the implementation of developmental training in the process of educational activity are substantiated; the content of the categories "development", "technology of developmental education", "developmental education" has been specified. C onc lu si on s . Developmental learning technology is defined as a systematic method of planning, implementation and evaluation of the entire learning process in higher education institutions. It was found that under the condition of development and implementation of new pedagogical technologies in the process of professional training in higher education institutions, the student becomes a participant in the process of constructing new knowledge with the help of their assimilation, awareness and application. The essence of the category "developmental training", "development", "technology of developmental training" is revealed. Developmental learning technology is defined as a systematic method of planning, implementation and evaluation of the entire learning process in higher education institutions. The organizational and pedagogical conditions for the development of students' educational activities are substantiated as such, which can determine the course and effectiveness of specially organized work on the development of students' educational activities and determine the technology of developmental education of students of higher education institutions.
Compliance Management of IaC-Based Cloud Deployments During Runtime

Modern cloud applications increasingly depend on Infrastructure-as-Code (IaC) practices for infrastructure automation to help manage the complexity of deploying large-scale architectures. Additionally, the deployment of cloud applications is commonly subject to compliance rules. Moreover, designing compliant IaC-based cloud deployments is not enough since runtime changes to the infrastructure or the configuration of individual components may introduce compliance violations. Often, the process of checking and fixing such violations is done manually, which is time-consuming and error-prone. Therefore, this work aims to define and implement a method for runtime IaC compliance management that reduces the complexity, effort, and uncertainty of checking and enforcing compliance rules against IaC-based cloud deployments at runtime. To this end, we follow the design-science research methodology to design and implement (i) the Runtime IaC Compliance Management (RICMa) method and (ii) the IaC Compliance Management Framework (IaCMF) that supports the execution of the RICMa method. We prototypically implement IaCMF and evaluate it using a qualitative interview study with industry experts.