Reviewerly/exHarmony huggingface dataset:
Pedagogical Praxiology: From Theory to Practice

The modern image of a professional pedagogue striving for self-development is a complex philosophy reflecting special knowledge, rational activity, professional skills, and spiritual reality.Not only the teacher, but every professional who has already begun his/her work, even a professionally developed one, must pay great attention to improving the quality of his/her work, to professional growth.Pedagogical praxiology can help rationally solve the problem and achieve a positive result.For the competent and professional implementation of state requirements aimed at mastering professional development courses established for each teacher in the field of step-by-step activities in the education system and professional training, clear universal tools and well-established mechanisms are needed.The proposed research article aims to consider the philosophy of the pedagogue within the framework of pedagogical practice, therefore, ways to improve the efficiency and cost-effectiveness of professionalism of the pedagogue in the activity, the regularities and conditions of its purposeful and rational structure.Pedagogical praxiology in the article, which presents the results of scientific research, is presented as a practice, as a subject of research, as a methodological and practical basis, in the category of practices that can master the professional skills, the ability to think, plan, control and implement their activities.
Social Engineering Attacks: A Clearer Perspective

This modern time has seen a rise in technology and its associated tools.The rapid development of technology has also grown along with what the researchers termed as diabolic computing.The advancement of technology has moved along with security risks and threats.Cybercriminals are aware of the prospects that the internet has in connecting billions of people across the world.Their operations have also focused on the exploitation of users since humans are perceived to be the weakest link to every firm or establishment.This human exploitation and attacks are termed social engineering.The internet community is the biggest casualty of social engineering attacks.Social Engineering attacks are dangerous and can lead to financial losses, data losses, and even denial of service.These can affect an organization"s reputation.The effects of social engineering attacks are very treacherous.Some have long standing effects and can also result in the closedown of businesses.The study gives a clearer view of social engineering attacks.This view creates awareness of social engineering.This awareness helps to mitigate the various social engineering attacks.The study is focused on computer and internet users.The study reviewed the concept of social engineering, its various attack methods, and how to mitigate them.The study was concluded with a summary of SE attacks and appropriate countermeasures.
The process of word formation as the main problem of stage language

In the scientific article, the authors considered one of the main problems of stage speech - the features of the process of word formation and ways to develop it. In general, it is known that the language of the stage has a special place in the art of acting. This is because the five sections, which are the basis of the stage language, have a great role to play. Speaking on stage is one thing, word formation is another. While it is not easy to speak, the task of creating words is even more difficult and responsible for an actor. He was taught the language of the scene. Stage language, along with actors, is a subject that develops the speaking skills of directors, TV and radio presenters, lecturers, team leaders and public figures, as well as lawyers and judges. The authors of the scientific article analyzed the topic with many examples. For example, he analyzes the peculiarities of its pronunciation on the stage, quoting from the literary works of classical writers. Speaking on stage on a piece of paper, that is, the process of birth of the word, is widely discussed. In addition, it is clearly stated that the main parts of the stage language - diction, breathing, voice, orthoepy, work with the text are very useful in the process of word formation on stage. The method and method of learning the word is very similar and common for drama theater actors, musical theater actors, chamber or pop artists, opera artists, masters of rhetoric. Creating words on stage begins with controlling your inner feelings and mental agility. Avoiding the search for phonetics in speech, on the contrary, will only succeed if you try to reveal the psychology of the character. After all, through the word comes the image of the character. Speech skills and speech activity are mainly developed through the sense organs that influence the process of word formation. In particular, the process of word formation on stage begins with the development of speech techniques, recognition of the speech apparatus, mastering the breath and voice. Similarly, the authors of the article professionally analyze the internal and external words, which are important in the process of word formation, and provide evidence.
The Schematization of XR Technologies in the Context of Collaborative Design

Recently, the concept of Industry 5.0 has been introduced to complement, among other things, Industry 4.0’s focus on efficiency and productivity with a focus on humans in digital design and production processes. The inclusion of human interaction with digital realities, extended reality (XR) technologies, such as augmented reality (AR) and virtual reality (VR), can play an essential role in Industry 5.0. While rapid advances in XR technologies are solidifying and finding their place in the product and production development process, terminology and classification scheme remain under-determined. As a result, there have been numerous classifications of XR technologies from different perspectives, but little widespread agreement. They have been classified by their level of immersion or how well they meet a specific purpose (such as training). In addition to that, the classifications are usually made for one particular field (e.g. marketing, healthcare, engineering, architecture, among others). Therefore, to set the basis for future research, it is essential to identify and outline the dimensions that intervene in product and production design in regards to XR facilitated collaboration. With the ideas proposed in this paper, we want to identify basic concepts that classify a collaborative XR system by analyzing how users interact with the environment and other users. Our motivation is that collaborative design involves not only the physical dimension but also a social dimension. Defining when an XR system contributes to increasing social and/or physical presence could clarify and simplify its categorization.
Pedagogical Support During the Transition to Middle School

Transition to middle school is one of the critical moments of the educational process, because it is associated with significant changes in the conditions, nature and content of learning.It is generally recognized that the organization of transition implies diversified pedagogical support for students, an essential part of which is the organization of repetition of subject material from the elementary school curriculum.This support element is especially important for students who lag behind in mastering the primary level program and are not quite ready to absorb new, more complex learning content.A psychological view of the transitional situation leads to the conclusion that the main goal of repetition at this stage should be student actualization and deeper comprehension of the concepts, models, and schemes that constitute the core of the subject content, while the main obstacle is the formalization of knowledge as a natural consequence of systematic training in solving large arrays of practical-specific tasks.The creation of transitional training modules in the form of a selection of problems and tasks, stimulating students to address the conceptual foundations of actions, is proposed.Ways of introducing elements of novelty into the content of lessons, i.e., implementing the "repetition without repetition" principle, are proposed.The arithmetic module prepared for testing is briefly described.
Understanding Game-Playing Agents with Natural Language Annotations

We present a new dataset containing 10K human-annotated games of Go and show how these natural language annotations can be used as a tool for model interpretability.Given a board state and its associated comment, our approach uses linear probing to predict mentions of domain-specific terms (e.g., ko, atari) from the intermediate state representations of gameplaying agents like AlphaGo Zero.We find these game concepts are nontrivially encoded in two distinct policy networks, one trained via imitation learning and another trained via reinforcement learning.Furthermore, mentions of domain-specific terms are most easily predicted from the later layers of both models, suggesting that these policy networks encode high-level abstractions similar to those used in the natural language annotations.
Towards Unification of Discourse Annotation Frameworks

Discourse information is difficult to represent and annotate.Among the major frameworks for annotating discourse information, RST, PDTB and SDRT are widely discussed and used, each having its own theoretical foundation and focus.Corpora annotated under different frameworks vary considerably.To make better use of the existing discourse corpora and achieve the possible synergy of different frameworks, it is worthwhile to investigate the systematic relations between different frameworks and devise methods of unifying the frameworks.Although the issue of framework unification has been a topic of discussion for a long time, there is currently no comprehensive approach which considers unifying both discourse structure and discourse relations and evaluates the unified framework intrinsically and extrinsically.We plan to use automatic means for the unification task and evaluate the result with structural complexity and downstream tasks.We will also explore the application of the unified framework in multi-task learning and graphical models.
BREADTH AND DEPTH-VOCABULARY KNOWLEDGE AND READING COMPREHENSION IN AN ENGLISH FIRST ADDITIONAL LANGUAGE CONTEXT

Most research has been concerned predominantly with vocabulary breadth in comparison with vocabulary depth. This study aims to bridge this gap by answering the following question: How do scores on vocabulary size, depth of vocabulary knowledge and reading comprehension correlate with each other? This study used quantitative method research on grade 11 English First Additional Language (EFAL) learners. Only 30 participants took part in the study. The independent variables used are the Vocabulary Levels Test (VLT) and Word Associate Test (WAT). Then, the dependent variable Reading comprehension is the dependent variable. The results indicated that 81% of the variance in the breadth of vocabulary scores which was measured through the VLT was shared with reading comprehension scores obtained in a reading comprehension test out of 30. On the other side, 90% of the variance in depth of vocabulary knowledge scores measured through a WAT was shared with reading comprehension scores. However, the depth of vocabulary scores could improve the prediction of the reading comprehension scores over and above the estimation accomplished by the vocabulary breadth scores. The results demonstrated the need for teachers to know their learners’ vocabulary knowledge and reading comprehension abilities.
High dynamic range imaging by a pseudo exposure fusion method based on artificial remapping

High dynamic range imaging is a promising image enhancement technology, which can reconstruct a high dynamic range (HDR) image with a real visual perception from captured one (or several) raw low dynamic range (LDR) image. However, the input LDR image only provides partial information of the scene. Besides, in traditional methods that require multiple captured images as input, it is prone to halos and/or ghosting artifacts due to camera shake or object motion. In this paper, we propose a simple yet valid method that firstly uses artificial remapping to generate a set of simulated multi-exposure image sequence from a single LDR image, then fuses them into a high-quality HDR image via multiscale pyramid framework-based exposure fusion. It was demonstrated that artifacts-free and details-preserving HDR image can be achieved. The method thus can be potentially applied to the field of high dynamic range imaging, and can be further used for astronomical exploration, biomedical imaging, and optical imaging fields in the future.
Implementation of the School Literacy Movement at SMP Negeri 1 Talang Ubi, Indonesia

The goal of this paper was to look at how the school literacy movement was being implemented in SMP Negeri 1 Talang Ubi. This research takes a qualitative method, including interview, observation, and documentation as tools. The gathered data were then examined using Miles and Huberman's hypothesis. According to the study's findings, the preparation for the implementation of the School Literacy Movement at SMP Negeri 1 Talang Ubi was adequate in terms of building preparation, library administration, and the acquisition of reading books. However, school residents' preparation and public participation have not been emphasized. As a result, the education office must play a more active role in socialization and counseling.
A Color Image Scrambling Method Based on Zigzag Transform and Cross-channel Permutation

It is a challenging task to maintain the privacy and security of color images that are shared over public networks. To address this challenge, image encryption methods can be used to protect the confidentiality of the shared image. As a part of spatial domain-based image encryption, the scrambling process aims to reduce the correlation between adjacent pixels. Furthermore, the correlation between different channels of an RGB color image can be decreased by applying a cross-channel permutation. To achieve both decorrelations, this paper presents a new image scrambling method that is based on zigzag transform and cross-channel permutation. Firstly, a color image’s red, green, and blue channels are obtained, and the zigzag transform is applied to each channel, respectively. The transformed channels are concatenated for further shuffling. A chaotic tent map is employed to create the necessary parameters to perform cross-channel permutation. The cross-channel permutation ensures swapping pixels between different channels. Performance measures of the proposed method show that the correlation coefficients of an RGB image can be significantly reduced. The information entropy of each channel is also greatly increased with this method. The average execution time is found to be less than 0.08 s for a 256 x 256 color image, indicating that the proposed method can be used in image encryption applications.
QoE Study of Natural Interaction in Extended Reality Environment for Immersive Training

Immersive training is a hot topic in areas like construction. However, most of the implemented use cases require external tools to allow interaction. This can lead to an immersive uprooting of user experience. In this paper we present a use case of immersive training using natural interfaces for interaction in construction, which has been tested by professionals working in construction of fiber networks and evaluated in terms of quality, presence and sickness to validate its impact on immersion.
Factors that Influence the Academic Motivation of Female Students

The study used qualitative research approach and a case study research design to explore the factors that motivate females to complete formal education in Tolon District. The population for this study comprised all females in the Tolon District who have successfully completed formal education. A purposive sampling technique was to select ten (10) females who have successfully completed formal education and are now working in the Tolon District. The main instrument used for data collection was interview guide. Data were analysed by the use of the Interpretive Method based on the themes arrived at in the data collection. The themes were related to the research questions and interpreted on the number of issues raised by participants. The study concluded that the Girl–Child requires a conducive learning environment free from limitations to successfully acquire formal education. The presence of an impressive teacher-student relationship in schools contributes immensely to the academic accomplishment of the academic goals of the female student. The study also concluded that the female students need self determination to rise above the socio-cultural limitations encountered in formal education. They obviously have to work hard and persevere enough to achieve their desired academic accomplishment. It is recommended that teachers should be encouraged as part of their teaching responsibility to give equal opportunity to both boys and girls, in answering their questions during classes. Thus, the Girl–Child deserves extra attention to ensure their participation and fair inclusion in curricular and other extra-curricular activities whiles in school. It is also recommended that teachers should sensitize and advise the female students to eschew the habit of associating with men, during the early stage of their life.
Optimizing the Potential of Solar Energy PT PJB UP Muara Karang Rooftop Area Using HelioScope

Year after year, there has been a rise in use of electrical power. The industrial, home, commercial, and public sectors accounted for 234,617.88 GWh of PLN's electrical energy sales in 2018. Meanwhile, the household, industrial, commercial, social sector, government office buildings, and public street lighting consumed 2,857.06 GWh of electrical energy in DKI Jakarta. The majority of the energy resources required by interconnected networks are fossil (coal). As a result, a future alternative to fossil fuels is required. Optimizing solar energy that may be employed in urban settings is one of the uses of renewable energy. The building sector consumes up to 40% of the total annual energy. By installing a renewable energy system on the roof of PT PJB Muara Karang power plant unit. The solar power plant energy potential on the roof of PT PJB UP Muara Karang administration building was simulated with HelioScope and using Quantitative Descriptive Method to maximize the rooftop area by installing 143 solar panel modules. which is capable of supplying 75.11 percent of the energy needs at PT. PJB UP Muara Karang.
Technical note: Incorporating expert domain knowledge into causal structure discovery workflows

Abstract. In this note, we argue that the outputs of causal discovery algorithms should not usually be considered end results but rather starting points and hypotheses for further study. The incentive to explore this topic came from a recent study by Krich et al. (2020), which gives a good introduction to estimating causal networks in biosphere–atmosphere interaction but confines the scope by investigating the outcome of a single algorithm. We aim to give a broader perspective to this study and to illustrate how not only different algorithms but also different initial states and prior information of possible causal model structures affect the outcome. We provide a proof-of-concept demonstration of how to incorporate expert domain knowledge with causal structure discovery and remark on how to detect and take into account over-fitting and concept drift.
The Intelligent Blockchain for the Protection of Smart Automobile Hacking

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies.And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly.Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society.By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own.This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model.As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used.Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating.Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.
Pre-monitoring geochemical research of the river sediments in the area of Ada Tepe gold mining site (Eastern Rhodopes)

The article depicts the geochemical properties of the landscapes in the Ada Tepe gold mine area before its launching. The research is conducted by examining the heavy metals (Cu, Pb, Zn, Co, Cr, Mn and Ni) content in samples of river sediments in the local landscapes. The research aims to analyse the concentration of heavy metals before the launch of gold mining. The study implements the coefficient of Clarke concentration. The deviation from the background concentrations is a ratio between the element concentration in the collected environmental samples and the Clarke value of the element. The coefficient has a scale from 0 to a particular positive value, corresponding to the level of enrichment of the sample in comparison to the background Clarke value. The values corresponding to the Clarke concentration are equal to 1, the lower values are between 0 and 1 (dispersion) and any value higher than 1 is a case of concentration (enrichment). The obtained results display the researched territory as a natural background area. The content of heavy metals in the river sediments of the researched area (mg/kg, median value) by chemical elements is Cu (15), Zn (72), Pb (17), Mn (461), Ni (35), Co (8) and Cr (60). That is the reason it could be defined as not impacted by human activities and it is not influenced by natural geochemical anomalies. Heavy metals do not pollute the researched landscapes before mining. This outcome is obtained by the geochemical content of the investigated heavy metals in the river sediments.