Reviewerly/exHarmony huggingface dataset:
Media development board game to increase student motivation in studying regional culture

Media development as an effort to introduce regional culture is considered essential to do. Technological developments make students' motivation to study culture begin to fade and shift with the emergence of Western civilization. This is motivated by the need for more interesting local culture introduction media for students and regional, cultural, and educational content in online or offline media. Therefore, learning media is needed to introduce regional culture. The objectives of this development research are: (1) Producing culture game education media board game products; (2) Testing and knowing the feasibility of culture game education media board game products; and (3) Knowing the effectiveness of culture game education board game media products in increasing learning motivation on material Sub Theme 2: "The Beauty of My Country's Cultural Diversity" for grade IV Elementary School. The development model used is ADDIE. The results of this development research are: (1) Learning media products, board game culture, and game education; and (2) Based on the validation that has been carried out on material experts and learning media experts, it is stated that the culture game education board game is suitable for use in the learning process and can be implemented for students with a percentage of the validity test of material experts, namely 89% and a percentage of the validity test of learning media experts, namely 98%. The results of the practicality test using the culture game education board game by the teacher obtained a score of 91%, while the trial results related to the percentage of students' motivation to learn culture through this media was 86%. The conclusion is based on the development done; the culture game education board game is declared appropriate when used as a medium to introduce regional culture.
A Study on the Association Between the Issue of EPS TOPIK Reading Disclosed Questions and the Korean Standard Textbook for the Employment Permit System Test of Proficiency in Korean

The purpose of this study was to explore if the Korean Standard Textbook for the Employment Permit System Test of Proficiency in Koreanis properly composed of contents to help prepare for the EPS TOPIK. 480 questions from the reading section of the EPS TOPIK revealed by the Human Resources Development Service of Korea were examined by classifying them into five categories and analyzing their association with the Korean Standard Textbook. The result demonstrated that compared to how the questions from the reading section of the EPS TOPIK were at a beginner’s level, the Korean Standard Textbook had a wide range of contents from beginner to advanced levels of difficulty. The Human Resources Development Service of Korea currently established a question bank for EPS TOPIK and automatically extracts each type of question to be on the exam. however, periodic development of the questions is not conducted. As such, it is imperative to have updated questions suitable for changing times and realistically improve the Korean Standard Textbook to support actual change on EPS TOPIK.
The Roles of Communities in the Context of EBP in Reducing Recidivism of Juvenile Probationers

The current study attempts to provide the roles of communities in terms of reducing recidivism of juvenile probationers and parolees in South Korea. In order to lay the groundwork, the current study also introduces the evidence-based principles and policies regarding juvenile delinquency. Traditionally, the efforts to reduce recidivism among juvenile probationers and parolees have suffered from two limitations. The first one concerns the fact that those policies have not been premised on evidence based principles and programs. Therefore the extant polices have been experimenting with new ideas or have been accepting the policies that have been proven ineffective in other countries. The second limitation is related to the fact that most of those efforts have largely focused on the roles of probation officers or Ministry of Justice. As a result, a serious discussion has gone missing on the basic issue such as what kinds of community resources should be reserved for whom in the community and how?&#x0D; Against this backdrop, the current study provides reviews of the extant literature of what works on juvenile delinquents. In doing so, much attention is given to the theory of Risk, Needs, Responsivity Principles (RNR principles). As a main argument advanced for the current paper, the roles of community will be offered in order to reduce recidivism of juvenile probationer and parolees. More specifically, the attention will largely focus on the issues such as the roles of probation officers, voluntary probation officers, school systems, community mental health agencies, and community shelters along with local governments. Finally, this study concludes with some useful tips and recommendations for future research and practices.
Adopting Virtual Reality for Education: Exploring Teachers’ Perspectives on Readiness, Opportunities, and Challenges

Virtual reality (VR) can be adapted to teach many topics and may be particularly effective for complex concepts. However, little is known about teacher readiness on adopting VR in the classroom. Accordingly, 189 higher education teachers were surveyed to explore perceptions on adopting VR. Findings revealed the adoption of VR vectored on teachers perceived readiness confidence in technology skill and belief that VR has potential to benefit student learning. Moreover, understanding students cognitive experience in the immersive VR environment remains underdeveloped and may influence teacher’s perception of readiness to adopt VR for teaching. However, there is an opportunity to influence educational models by providing a VR approach to knowledge creation centred around cognitive processes students use to make sense of the real world. But there remain perceived challenges centered around costs, technical issues, content availability, and pedagogical integration. This study concludes any successful adoption of VR for teaching will require careful planning for teacher readiness with primary focus on technology competence and pedagogical matters. Although more research is needed to understand teachers’ readiness, VR is likely forthcoming and has potential to be an important resource in the educator’s toolkit.
Identifying Text Classification Failures in Multilingual AI-Generated Content

With the rising popularity of generative AI tools, the nature of apparent classification failures by AI content detection softwares, especially between different languages, must be further observed. This paper aims to do this through testing OpenAI’s “AI Text Classifier” on a set of human and AI-generated texts inEnglish, German, Arabic, Hindi, Chinese, and Swahili. Given the unreliability of existing tools for detection of AIgenerated text, it is notable that specific types of classification failures often persist in slightly different ways when various languages are observed: misclassification of human-written content as “AI-generated” and vice versa may occur more frequently in specific language content than others. Our findings indicate that false negative labelings are more likely to occur in English, whereas false positives are more likely to occur in Hindi and Arabic. There was an observed tendency for other languages to not be confidently labeled at all.
Invertible Neural Network for Inference Pipeline Anomaly Detection

This study combines research in machine learning and system engineering practices to conceptualize a paradigm-enhancing trustworthiness of a machine learning inference pipeline. We explore the topic of reversibility in deep neural networks and introduce its anomaly detection capabilities to build a framework of integrity verification checkpoints across the inference pipeline of a deployed model. We leverage previous findings and principles regarding several types of autoencoders, deep generative maximumlikelihood training and invertibility of neural networks to propose an improved network architecture for anomaly detection. We hypothesize and experimentally confirm that an Invertible Neural Network (INN) trained as a convolutional autoencoder is a superior alternative naturally suited to solve that task. This remarkable INN’s ability to reconstruct data from its compressed representation and to solve inverse problems is then generalized and applied in the field of Trustworthy AI to achieve integrity verification of an inference pipeline through the concept of an INN-based Trusted Neural Network (TNN) nodes placed around the mission critical parts of the system, as well as the end-to-end outcome verification. This work aspires to enhance robustness and reliability of applications employing artificial intelligence, which are playing increasingly noticeable role in highly consequential decision-making processes across many industries and problem domains. INNs are invertible by construction and tractably trained simultaneously in both directions. This feature has untapped potential to improve the explainability of machine learning pipelines in support of their trustworthiness and is a topic of our current studies.
SPDZ-Based Optimistic Fair Multi-Party Computation Detection

The fairness of multi-party computation has been investigated for long time. Classic results demonstrate that fair exchange can be achieved by utilizing cryptographic tools, as most of them are based on garbled circuits. For the secret-sharing schemes, such as SPDZ, it may incur significant overhead to simply apply a fair escrow scheme, since it encrypts all the shares of delivered results. To address this issue, we design a twolevel secret-sharing mechanism. The escrow encryption is only for the first level of sharing and performed in preprocessing. The second level of sharing is used for computation and always handled by plaintexts, such that the online phase is still efficient. Our work also employs a semi-trusted third party (TTP) which provide optimistic escrow for output delivery. The verification and delivery procedures prevent the malicious parties from corrupting the outcome or aborting, when there is at least one honest party. Furthermore, the TTP has no knowledge of output, so even if he is malicious and colluding, we only lose fairness. The escrow decryption is needed only when misconduct is detected for opening the first-level shares.
A Comprehensive Review of GAN-Based Denoising Models for Low-Dose Computed Tomography Images

Computed Tomography (CT) offers great visualization of the intricate internal body structures. To protect a patient from the potential radiation-related health risks, the acquisition of CT images should adhere to the “as low as reasonably allowed” (ALARA) standard. However, the acquired Low-dose CT (LDCT) images are inadvertently corrupted by artifacts and noise during the processes of acquisition, storage, and transmission, degrading the visual quality of the image and also causing the loss of image features and relevant information. Most recently, generative adversarial network (GAN) models based on deep learning (DL) have demonstrated ground-breaking performance to minimize image noise while maintaining high image quality. These models’ ability to adapt to uncertain noise distributions and representation-learning ability makes them highly desirable for the denoising of CT images. The state-of-the-art GANs used for LDCT image denoising have been comprehensively reviewed in this research paper. The aim of this paper is to highlight the potential of DL-based GAN for CT dose optimization and present future scope of research in the domain of LDCT image denoising.
FEATURES OF THE IMPLEMENTATION OF INTERACTIVE AND PRACTICAL TEACHING METHODS IN EDUCATIONAL INSTITUTIONS OF HIGHER EDUCATION OF OF EMERCOM OF RUSSIA

The importance of the introduction of interactive and practical methods of training employees of the Ministry of Emergency Situations of Russia is substantiated, the justification of the spatio-temporal statistical analysis of activities on simulators carried out on the basis of taking into account &#x0D; the frequency, difficulty and responsibility of individual actions is given. The analysis of innovative technologies for working with future officers, content elements, methods of using interactive and practical training tools, justification of psychological and pedagogical conditions for its implementation is presented. It is shown that the strongest motive for the development of a fire-technical specialty by cadets is an interest in the profession, contributing to the development of self-awareness. The introduction of information and didactic training systems based on computer technologies, in particular, simulators operating on the principle of controlled virtual simulation, is justified.
CONSCIOUS OPTIMISM AS AN ART OF LIVING AND THE ABILITY TO THINK

The phenomenon of conscious optimism, which is the subject of this study, is the ability and readiness of an employee to fruitfully influence their own thinking, respectively, on professional activities, decisions, behavior and actions. The tactics of formation of conscious optimism among employees of EMERCOM of Russia are substantiated. The specificity of its formation in a departmental educational organization is shown. Conscious optimism seems to be a state of mind associated with belief in the effectiveness of one's own actions aimed at creation, as the basis for the formation of positive thinking, and, consequently, behavior. It is emphasized that the development of a professional requires the implementation of the principles of prevention of cognitive helplessness proposed by the authors, as well as norms, rules, attitudes and value orientations that allow regulating the internal and external activity of an employee, at the same time, the long-term tasks of developing conscious optimism among employees of EMERCOM of Russia should not be sacrificed to today's, topical, urgent problems and difficulties.
METHOD OF CREATING VIRTUAL LABORATORY WORKS ON THE DISCIPLINE «LIFE SAFETY»

This work is devoted to the creation of a methodology for the development of virtual laboratory work based on a real physical stand, as well as the creation of a trial laboratory work using this technique. A general algorithm for creating any virtual laboratory work based on a real existing model is proposed. This algorithm was used to create a laboratory work from the course of the discipline «Life safety» on the topic «Efficiency and quality of lighting».
PATRIOTIC MOTIVATION OF CONSCIENTIOUS SERVICE AS THE KEY TO ENSURING THE SAFETY OF THE FUNCTIONING OF AN EDUCATIONAL ORGANIZATION

Discusses the practical aspects of serving in the daily attire of an educational organization. The thesis about the need to use patriotic motivation to increase the effectiveness of security is proved. The specifics of training personnel for service, conducting instructor-methodical classes and checking service are described.
FEATURES OF ORGANIZATION OF WORK TEACHER-CURATORS IN LENINGRAD REGIONAL BRANCH OF SAINT-PETERSBURG UNIVERSITY OF MINISTRY OF INTERNAL AFFAIRS OF RUSSIA

The features of the organization of the work of teachers-curators in higher educational institutions of the Ministry of Internal Affairs of Russia, in particular, the specifics of the organization of their activities in the Leningrad regional branch of the Saint-Petersburg university of the Ministry of internal affairs of Russia are considered. The methods of educational work of scientific, patriotic and general humanitarian directions are given. The conditions and requirements for the appointment of a teacher-curator, as well as his duties, are described.
ELECTIVE COURSES IN RESEARCH ACTIVITIES FOR THE EDUCATION OF YOUNG SCIENTIFIC PERSONNEL OF EMERCOM OF RUSSIA

In the paper a theoretical analysis of pedagogical, psychological and methodological literature on optional programs in the field of research activities, the author's program of optional training research activities «Methodology of preparation of scientific research» for training of young scientific personnel of EMERCOM of Russia, the purpose, tasks, structure and content of the proposed discipline, as well as quality assessment criteria for the protection of the final research project by students were described.
Innovation in distance education

The implementation of distance courses has allowed knowledge to reach a greater number of students immediately, in addition to this, it allows us to access information at the convenience of the participants, so the specific schedules, which promote a greater opening in the accesses and the way in which knowledge can be generated, is not married to a place, a time or a style, which is why it is increasingly necessary to be able to implement strategies that In addition, they generate real knowledge and a substantial use of the contents that are being shown, together with a wide range of strategies that range from the topics themselves, the reinforcement of activities through innovative technological tools and feedback and/or relevant evaluations to indicate the level of achievement that the student had within the specified period and that will allow him to continue advancing to reach his goal. Objectives, Methodology. The main objective of carrying out this work is to show the importance in the implementation of distance courses with the use of technological innovation tools, the advantages of students learning according to their needs and the advantages of having these important tools. support in educational instruction; In addition to presenting a representative sample on the application of a research technique that allows us to observe -by its results- that distance education has had a beneficial impact even more with the use of technological innovation tools in terms of promoting this instruction. in Higher Education Schools. Contribution. It seeks to demonstrate in a broad way, that encouraging students who cannot attend school in the required times, to seek education online, can help them obtain a degree without having to put aside meeting their needs through a job, distance education, will allow them to satisfy their self-realization needs and they will be able to collaborate significantly in the achievement of their medium-term objectives.
SOME CASES OF WORK-BASED LEARNING IN EUROPEAN SYSTEM OF HIGHER EDUCATION

The paper attempts to provide some insight into development and make suggestions for improvement of students’ work-based learning (WBL) and practical placements based on the analysis of some WBL cases in European universities. These proposals aim to improve the quality of education and ensure the decent employment of the graduates. The large-scale survey of employers revealed their high interest in the admission of students for practical placements. The proposals for the organization of WBL and practical placements based on close university-business cooperation were set forward within the ERASMUS+ project «UniLab – From university to labour market in the 21st century: a step forward in work-based placements” which embraced seven countries, including Russia with four university participants. Theoretical and empirical analysis of the EU cases helped the project partners identified some future-proofed tools for the Russian HEIs. To achieve the goals set in the project, the following methods were used: document analysis, literature review, study the best experience of the UniLab partners, and the survey of companies. The article makes contribution to the existing volume of research and knowledge related to the university-business partnerships, and suggests positive steps that need to be taken for upgrading WBL efficiency
Creativity in the conditions of modern scientific communication

The article is devoted to the increasing relevance of the axiological aspect of scientific communication in the information society. Informatization of various spheres of society has created conditions, necessities and opportunities for understanding the multidimensionality of a person, his creative activity. The analysis of the research of domestic and foreign authors devoted to creativity allows us to recognize that there are different and sometimes opposite theories of creativity. In the article, creativity in its axiological status is considered as the most important value of modern society. Attention is drawn to the fact that destructive human activity has led to the fact that the gap between nature and civilization has reached catastrophic proportions that threaten the very existence of humanity. The authors of the article, wondering about the possibility of claiming that our history is a product of human creativity, pay attention to the fact that not only the creativity of outstanding personalities and the masses is the driving force, but also quasi-creativity, destructive activity affects social processes, but, however, with a minus sign. According to the authors, with the help of scientific communication, a modern scientist can and should independently constitute the world of science and determine the path of further social transformation. Of fundamental importance in the study are the theoretical and methodological principles of a systematic approach, supplemented by the ideas of synchronism and synergetics, which make it possible to substantiate the axiologically negative intentionality of creativity associated with destructive activity, antisocial, aggressive “creativity”.
Fuzzy Neural Network

Fuzzy neural network combines fuzzy computing and artificial neural network. Fuzzy neural network inherits the characteristics of both fuzzy logic and neural network such as logical reasoning ability, adaptive ability and learning ability. This chapter first gives an overview of fuzzy neural network including Takagi-Sugeno fuzzy system and expert system. Adaptive network-based fuzzy inference system is introduced to illustrate the usage of fuzzy neural network. Then fuzzy neural network is used to solve time series prediction problem. Interval type-2 fuzzy logic is presented and its performance is studied through time series prediction problem. Fuzzy neural network is then applied to solve clustering problem and suburban commuting prediction problem. Finally, the state-of-the-art research progress of fuzzy computing is presented.
Testing and Evaluation of Evolutionary Computing

Evolutionary computing is a collection of evolutionary algorithms. Different algorithms have different properties. For example, genetic algorithm is suitable for discrete optimization problems; while differential evolution algorithm is suitable for continuous optimization problems. The pros and cons of such algorithms have to be studies and tested on well-known optimization problems. This chapter presents a test set of traveling salesman problem and a test set of continuous optimization problem. The evaluation metrics are introduced to compare and analyze evolutionary algorithms. Then, this chapter introduces two recent evolutionary computing methods. They are artificial bee colony algorithm and fireworks algorithm. Finally, the state-of-the-art research progress of evolutionary computing are presented.