Reviewerly/exHarmony huggingface dataset:
Problems of the humanitarian component in higher education

The article presents an overview of some aspects and problem areas of the humanitarian content of Russian university education. In particular, the analysis of such issues as: the place of the «humanitarian component» in the system of higher education; the formation and upbringing of the qualities of a highly moral personality of a student in modern conditions; the formation of professional competencies of humanities within the framework of the Bologna Agreements; the search for ways to integrate humanities and natural sciences, transdisciplinarity, metasubject nature of the humanities; the relationship between socio-humanitarian and technical education, opportunities for humanitarian education of an engineer. At the end, possible ways to overcome the humanitarian crisis in higher education are proposed.
Verification Mechanism for Authenticity of Big Data Cloud Computing Services Based on Game Theory and Smart Contracts

With the development of big data and cloud computing, ensuring authenticity and validity has become paramount issue. This paper introduces a novel verification mechanism, which is based on game theory and smart contracts, to validate the genuineness of results from cloud services given to users. It not only vouches for the veracity of these results but also promotes participation from trustworthy cloud service providers by introducing a strategically designed incentive system. The designed game-theoretical model combined with the execution sequence of the smart contracts acts as a deterrent against deceitful actions by potential malicious service entities. Experimental results prove the effectiveness and feasibility of this method.
Violence Against Children in the Novel 'Misteri Bilik Korek Api' by Ruwi Meita

This study is driven by the dual objectives of comprehensively identifying and elucidating the diverse manifestations of violence against children within Ruwi Meita's novel "Misteri Bilik Korek Api" (The Mystery of the Matchbox Room).The selection of the theme of violence stems from the novel's portrayal of acts of violence directed towards children. To undertake a comprehensive analysis of these instances, this research employs a literary psychology approach, augmented by the conceptual framework provided by Azevedo and Viviane's typology of five distinct forms of violence. Employing a qualitative methodology, the study delves into the intricate fabric of the prose, facilitating an in-depth exploration and interpretation of the textual data. The outcomes of this inquiry illuminate five primary forms of violence that children undergo within the novel's narrative canvas: Indifference: Evidencing scenarios in which characters display an unsettling apathy towards the well-being of children. Contempt: Unveiling instances of disdain or disrespect aimed at children from other characters. Isolation: Illuminating instances where children are deliberately secluded or isolated from their social milieu. Rejection: Disclosing portrayals of children confronting exclusion or repudiation across various spheres of their existence. Terror: Exposing moments of intense fear and apprehension experienced by children as a result of threatening circumstances or actions.
A study of prospective secondary English teachers’ perceptions on the use of the metaverse platform Zep for English lesson design.

The purpose of this paper was to investigate the perceptions of pre-service English teachers regarding teaching English using Zep, a virtual metaverse platform, in secondary schools. A total of 55 university students majoring in English education at a college of education in Kyongbuk province participated in a semester course where they each built their own virtual world of English class using Zep and completed a survey. Additionally, some of them conducted actual English classes using Zep during their four-week teaching practicum and were interviewed about their perceptions. The findings of the study showed that they perceived using Zep for English teaching as very new, interesting, and user-friendly. However, they had relatively lower perceptions in terms of usefulness, satisfaction, and usability, and the lowest perceptions in terms of access stability and authenticity. Based on these results, several pedagogical implications are suggested in the field of English education.
Analyzing Korean learners' reading fluency characteristics and phonological errors -focus on cross-linguistic comparisonsn.

The aim of this study is to investigate sub-factors of reading fluency and reading errors among Korean learners and to analyze differences across Language(English, Spanish, Chinese). We predicted challenges for Chinese readers in fluency speed due to their transparent writing system, and for English and Spanish readers in accuracy. Surprisingly, English learners showed higher speed and accuracy across all groups. Comparing the types of reading errors, phoneme substitution and repetition errors were the most common in all languages, but different characteristics are also observed across languages. The results of the study show that even intermediate learners can make many errors in phonetic reading, and the need for pronunciation training is confirmed. It is also emphasized that it will be difficult for them to develop into proficient readers at the advanced stage if their reading fluency does not improve. This study explored language-specific differences based on actual learners' phonetic reading, and can be used as a basis for future controlled analyses of language-specific differences.
Performance Evaluation of Application Mob Programming Technologies in IT Project Management

In the modern world, software development companies face a number of problems, such as an increase in the volume of code, an increase in the number of errors, an increase in the complexity of projects and an increase in requirements for quality and speed of development. To solve these problems, it is necessary to reduce costs, increase team productivity, reduce time for testing and debugging code, as well as improve the quality of their products, i. e. achieve competitive advantages by improving project management systems and communication in the team. The aim of the research is to find solutions to achieve competitive advantages of an IT company to improve the efficiency of project management and improve product quality through the use of mobile programming technologies. This approach has not been sufficiently investigated in the context of the Kanban methodology for workflow management. Thus, research in the field of using mobile programming in Kanban allows us to expand knowledge about the possibilities of this methodology and its applicability in various conditions. The article used experimental research, namely conducting experiments to compare the effectiveness of work and communication of teams using mobile programming within Kanban with teams not using this this methodology. The analytical method of research, comparative analysis (to highlight the advantages and disadvantages of the Mob Programming approach), the tabular method of providing information, for greater clarity, interviewing was also used.
Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots

The success of deep learning in the field of fault diagnosis depends on a large number of training data, but it is a challenge to achieve fault diagnosis of multi-axis industrial robots in the case of few-shot. To address this issue, this paper proposes a method called Model-Agnostic Meta-Learning (MAML) for fault diagnosis of industrial robots. Its goal is to train an effective industrial robot fault classifier using minimal training data. Additionally, it can learn to recognize faults in new scenarios with high accuracy based on the training data. Experimental results based on a six-axis industrial robot dataset show that the proposed method is superior to traditional convolutional neural network (CNN) and transfer learning, and that the diagnostic results with the same amount of data in few-shot cases are better than existing intelligent fault diagnosis methods.
Features of working with network connections when developing an iOS application for remote interaction with an electrical impedance tomography device

The creation of native information systems for mobile devices in healthcare facilities is becoming increasingly important in light of the need for remote monitoring of patients» condition. This need is due to the necessity for medical staff to constantly monitor patient condition in order to make quick decisions in the case of an emergency. In this regard the article is devoted to the technical aspects of developing a mobile application for remote interaction with an electrical impedance tomography device. Unlike well-known solutions, which use Bluetooth technology for information transfer, this article focuses on the study of the features of working with ­TCP sockets, which are an integral part of data transfer between the electrical impedance tomography machine and a mobile device. Also, the use of ­TCP sockets is due to the existing implementation of this technology in an electrical impedance tomography device made for its integration with a lung ventilator. The article discusses the main aspects of developing a system for remote interaction with medical equipment using the example of an electrical impedance tomography device. An application prototype developed for the i­OS operating system to test the applicability of the proposed approach is described. The authors of the article describe methods for receiving graphic data, and also discuss possible problems and solutions related to working with ­TCP sockets in a mobile application.
Detection of Foreign Objects Around the Railway Line with YOLOv8

This study proposes a deep learning-based method to detect foreign objects around the railway line. It is important to make this determination with high accuracy for rail transport safety, but traditional methods are disadvantageous in terms of time and cost. In the proposed method, the RailSem19 dataset was used, and a YOLOv8-based model was designed. YOLOv8 is a prominent algorithm in the literature with its fast and accurate object detection capability. In the study, the dataset was diversified using image enhancement techniques. The training, validation, and testing stages used manually labeled data for human and car classes. The training process was carried out through Google Colab and different YOLOv8 sub-architectures were evaluated. The results showed that the YOLOv8m sub-architecture had higher mAP50 values than the other sub-architectures and showed a successful performance in the validation phase. The YOLOv8m model was able to clearly distinguish people and cars around the railway line. The YOLOv8m sub-architecture achieved a mAP50 value of 88.8%. This study presents an automated and efficient method to improve rail transport safety. The high success of the YOLOv8-based model with the RailSem19 dataset can be considered an effective solution to detect potential risks around the railway line.
Improving Children's Language Aspects Through Educational Game Tool Mystery Sock at Kindergarten

Language is a way to communicate between individuals and other individuals. In Taman Kurnia Kindergarten Denpasar, there are some children in learning who are less active in delivering questions and answers in play activities and questions and answers from teachers. The purpose of this study was to improve language development in children with APE Mystery Sock. The method used is descriptive qualitative, data collection techniques through observation, interviews and documentation. The source of the data is teachers, children aged 5-6 years in Taman Kurnia Kindergarten based on purposive sampling techniques. The results showed that based on the findings obtained by the researchers, the first data on the cognitive abilities of students during the first cycle of learning were 4 children in the category of developing as expected, and increasing by 18 children to 22 children in cycle II in the category of developing very well and developing as expected. Based on this presentation, it can be seen that the mystery sock game can help the language development of students in Taman Kurnia Denpasar.
Formation of Foreign Language Communicative Competence of University Students by Means of Artificial Intelligence Technologies

Over the last few years, the global academic community has been wondering about the possibility and efficiency of using artificial intelligence technologies in the educational process in general, and in the process of teaching foreign languages in particular. Among the theorists and practitioners in the field of education there appeared both ardent supporters of the use of these technologies, and strong opponents of this idea. Our experimental study proved the efficiency of artificial intelligence technologies in the process of the formation of foreign language communicative competence of students of non-linguistic specialties of higher educational institutions. At the same time, we emphasize that the role of the teacher in the process of organizing the educational process remains fundamental, whereas his/her additional tasks in modern conditions include a careful selection of artificial intelligence technologies, creation of a set of exercises based on their application, which should contribute to the formation of professional competencies of students.
Laboratory work in Physics and Chemistry in the training of future teachers in the conditions of distance learning

The article is devoted to the systematization of experience and establishing the peculiarities of conducting laboratory work in Physics and Chemistry in the training of future teachers in the conditions of distance learning (on the example of the Faculty of Physics and Mathematics of H.S. Skovoroda Kharkiv National Pedagogical University).&#x0D; Possibilities of using photo and video recording of physical and chemical experiments for their repeated display in the form of synchronous and asynchronous broadcasting are considered. The procedure for performing laboratory work based on the use of photos and video materials is described, and relevant examples are given. Conducting laboratory work in physics and chemistry in the conditions of distance learning using interactive simulators and models on various platforms is characterized. Laboratory work in physics and chemistry using specialized virtual laboratories is described, examples of working with them in classes are given. The experience of using the author's software-methodological complexes to ensure laboratory work in chemistry is described, which are actively used in the educational process in the conditions of distance learning – using SchoolKit as an example.&#x0D; It has been established that conducting laboratory work in physics and chemistry in the training of future teachers in the conditions of distance learning can be ensured in several ways: access to collections of photos and video materials of physical and chemical experiments; demonstrations of laboratory experiments in synchronous mode by means of video conferences; using virtual simulations and models of physical and chemical objects, processes, phenomena; using virtual physical and chemical laboratories; using software and methodical complexes in physics and chemistry.&#x0D; Prospective areas of further research are the study of the effectiveness of the considered methods of conducting laboratory work in the conditions of distance learning in the practice of training future teachers of physics and chemistry and the development of appropriate methodological recommendations with the generalization of the acquired experience of institutions of higher pedagogical education.
Educational work in institutions of higher education in the conditions of distance learning

The article is devoted to the analysis of the peculiarities of the implementation of forms of educational work with students of higher education in the conditions of distance learning (from the experience of H.S. Skovoroda Kharkiv National Pedagogical University), based on the approach to education and upbringing as a single process, continuous at all stages of education. Traditional forms of educational work with students in a higher education institution (organizational, practical, verbal, active, face-to-face) were considered and it was proved that in the conditions of distance learning they acquire special features and even certain new opportunities due to the online format. Examples of such educational activities are given and the specifics of preparation and implementation of them are revealed at the Faculty of Physics and Mathematics H.S. Skovoroda KhNPU. Meetings of the student team (in courses, in groups, meetings of student self-government bodies, etc.); festivals and competitions (university and faculty); interactive online games and quizzes; online tours; different types of meetings; online holidays; flash mobs and challenges are concedered as examples of such educational activities. The role of curators in the educational process in a distance format has been specified. Special attention is paid to the work of Student Council, its structure and committees and it is emphosised on the cooperation with student self-government. The areas of coverage of educational activities due to the use of modern Internet technologies are considered – websites, social networks, chats, channels, etc. The following features of educational work in institutions of higher education were singled out as significant: overcoming spatial and temporal barriers between participants in the educational process; overall quantitative and qualitative increase in the number of participants in educational activities; individualization of work with students; popularization of the idea of student self-government; changes in organizational principles and introduction of new methods of educational work; strengthening of requirements for digital competence of participants, etc. It is emphasized that taking into account the specified advantages should perform a compensatory function during the aggravation of the problems of the implementation of the educational process associated with the limitations of the distance form of education.
RANCANG BANGUN APLIKASI SISTEM PAKAR UNTUK MENDIAGNOSA KERUSAKAN PRINTER BARCODE MENGGUNAKAN METODE FORWARD CHAINING

Damage to a printer, especially a barcode printer, often annoys users, in general, users bring the barcode printer to the printer service. The length of time the barcode printer is repaired at the service point can also take up time. In addition to the costs that will be incurred to repair the device as well as possible opportunities that lead to fraud at the service site. The ability of a technician to detect printer damage can be implemented into an application system. An application system that can work as a human or an expert works is known as an expert system. Forward Chaining is a fact to get a conclusion from that fact.This reasoning is based on available facts (data driven). The forward-chaining algorithm is also one of the two main methods of reasoning when using an inference engine and can logically be described as a looping application of the modus ponens (a set of inference rules and valid arguments).
SCHOOL SYSTEM IS RESPONSIBLE FOR LOW TEST SCORES IN INDIA

The system of education as a whole has remained mostly unchanged since our British masters left it to us. Our educational system just offers us with a regular knowledge bundle that does not contribute significantly to their comprehension and problem-solving abilities. The objective of the paper aims to search the reasons for low test scores in Indian education system. This study is descriptive in nature based basically on primary as well as on secondary sources of education. There are several causes investigated in the study. There is no educational planning in accordance with the country's political and economic framework. It's odd to notice that students in India prefer vacation days than school days. Besides so many problems, there are still many genius people in India who are making our nation to feel proud.
A Secondary study of RBI Digital Currency – CBDC

The world has moved on to a digital platform for its daily needs and uses. We in India also took this step toward digitalization in a stronger and forceful way from 2014 onwards, through setting up of digital infrastructure. Various start-ups took the initiative to make India a digital player. Digital payment is one such initiative taken by India even though we had digital payment systems in place before 2014 (we already had apps like paytm and NPCI since 2008) but the development through focused approach started post 2014.&#x0D; Digital payment means the transaction of money through electronic form from one account to another account through electronic mechanism. There is no requirement for physical cash or credit card or debit card or any cheque instruments or financial instruments.&#x0D;
Fluid Intake and Hydration among Children

Children birth a greater chance of desiccation than adults. As many as 22% of children in Indonesia calm do not drink plenty. As a resolution of many studies, children came to school with a shortage in hydration prominence. Objectives: The purpose of this study are describe fluid intake and hydration state among children at elementary school in Lampung. Methods: Design of this study used analytical observational study. The sampel was 69 children, with total sampling technique. The study was conducted from Sept 2019 to Jan 2020, at primary school in Bandar Lampung. Fluid intake was obtained from the Beverage Uptake Questionaire and hydration state was obtained from urine specific gravity. Results: The result of study, a total 48 children (69,6) had good fluid intake, 47 children (68,1%) drinking water more than 3 times a day but 42 children (60.9%) had clinical dehydration. Conclusion: Further research is needed to measure adequacy of fluid intake with other methods and instruments.
Asemantic Induction of Hallucinations in LLMs

Over at the work blog, I’m discussing what knowledge means for large language models (LLMs), and the ways in which we can leverage this knowledge dividend for better inference. Language is highly semantic, but because of that, it is also highly flexible. By semantic, I mean that every lexeme has a distinct and coherent meaning.