Reviewerly/exHarmony huggingface dataset:
FOREIGN LANGUAGE FUTURE TEACHER’S PEDAGOGICAL SUPPORT IN UKRAINE

The article is devoted to the role of the pedagogical support of foreign language future teachers in Ukraine.Adaptation or introduction of young teachers to the profession is the most difficult period in their professional life, which requires specially designed scope of support to be provided.To overcome these difficulties specially organized work is required.On the part of the young teacher, it must be focused on understanding the personal attitude to the profession and making a professional choice through self-perception.On the part of teachers, it is to provide the young teacher with pedagogical support through mentoring.In Ukraine, there is no single approach to the definition of "pedagogical support".It is considered as a special sphere of pedagogical activities aimed at helping future teachers to develop and promote their self-development, in solving their individual problems related to the promotion of education, developing requirement for successful independent actions; systematic, purposeful teacher's activity (or team of teachers), which provides a disclosure of future teacher's personal potential by providing a specific help to him in self-overcoming difficulties in learning and self-promotion in professional and personal fulfillment; assisting students in overcoming difficulties, based on his subjective experience and owning the means of detection and solving their problems.Mentioned above, future teacher's support is understood as a specific help to a young teacher, which is based on knowledge of his individual characteristics, attitude to his problems, difficulties, which appear in his professional life.The results of the research "The study of foreign language future teacher's pedagogical support in Ukraine" are presented and characterized.Mixed mode research, which is a combination of qualitative (phocus groups) and quantitative (questionnaire) methods have been applied.Taking into account the data of the a focus -group research, we have come to the conclusion that all the participants of the focus -groups had some difficulties in their school practice and that their school experience supervisors helped them by providing а pedagogical support.The opinion that students should get the pedagogical support from their university teachers, who are their school experience supervisors, as well as their school teachers, who are their mentors and also methodology teachers, who are their teachers at the University is proved.
A Novel Continual Learning Approach for Competitive Neural Networks

Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgetting when dealing with non-stationary distributions. Prior works focused on supervised or reinforcement learning, but few works have considered continual learning for unsupervised learning methods. In this paper, a novel approach to provide continual learning for competitive neural networks is proposed. To this end, we have proposed a different learning rate function that can cope with non-stationary distributions by adapting the model to learn continuously. Experimental results performed with different synthetic images that change over time confirm the performance of our proposal.
Vision-Based Human Posture Detection from a Virtual Home-Care Unmanned Aerial Vehicle

Monitoring is essential to provide assistance to people who require home care due to their age or health condition. This paper presents the vision-based detection of three postures of a person (standing, sitting and laying down) from an unmanned aerial vehicle. The proposal uses the MediaPipe Pose Python module, considering only seven skeleton points and a set of trigonometric calculations. The work is evaluated in a Unity virtual reality (VR) environment that simulates the monitoring process of an assistant UAV. The images acquired by the UAV’s on-board camera are sent from the VR visualiser to the Python module via the Message Queue Telemetry Transport (MQTT) protocol. The simulation shows very promising results for the detection of a person’s postures.
Time Restraint Load Balancing in the Cloud Environment

The outlook for cloud computing is growing day by day. It is a developing field which is evolving and giving new ways to build, manage and process data. The most difficult task in cloud computing is to provide best quality parameters like maintaining deadline, minimizing make-span time, increasing utilization of resources etc. Therefore, dynamic scheduling of algorithm is needed by a service provider that executes the task within given time span while reducing make-span time.The proposed algorithm utilizes merits of max min, round robin, and min-min and tries to remove the demerits of them. The proposed algorithm has been simulated in cloud Sim by varying number of tasks and analysis has been made based on make-span, average utilization of resources and balancing of load. The results show that the proposed technique has better results as compared to heuristic techniques such as min-min, round robin and max-min.
The Education of Digital Game Testers – Practical Experience

The paper is aimed at analyzing the importance of digital game testing as one of the key segments for successful game development.As game testers often perform very complex tasks and assignments, this research identified a set of characteristics, competencies, and skills that a professional in this field should possess to be a successful one.To answer the market demand for IT professionals in this specific field, the Faculty of Technical Sciences in Čačak adapted the curriculums of adequate teaching subjects and started continuous assessment of student performance that included additional areas of expertise.The initial survey was performed aimed at identifying some key factors during 2021 and 2022, and these results were presented in the paper.
Financial Development and Economic Growth in the Southern African Development Community (SADC): The Role of Institutional Quality

The objective of this paper is to study the relationship between financial development and economic growth conditional on the institutional environment in the Southern African Development Community (SADC) countries over the period 2000-2020.To achieve this objective, we used the Aggregate Group Mean (AGM) estimator.Our results indicate that financial development is not homogeneous across the subregion, so it contributes significantly to economic growth in SADC countries when the institutional environment is of good quality.This empirical evidence explains the differences in economic growth across SADC countries and recommends good quality institutions for finance to positively impact growth in the subregion.
EXPRESSIONIST DISCOURSE OF WAX FIGURES IN THE HISTORY OF CINEMA

In this article, the author examines the influence of expressionism on the film industry in the period 1933-2005. Through the prism of the "donated" expressionist cinema art of the 1920s. stories about wax figures, one can detect the development of the cultural demands of society in the above period. The most significant conclusions of the study: a) after the masterpiece of Paul Leni in 1924, cinema art returns to what it tried to get away from - to “the stories of a mentally ill person, left alone with a hostile world trying to break him”; b) if earlier plots were built around "dolls", the mystery of which is in their visual identity to people, then over time the fantasy of scriptwriters and directors began to demand their more complete identification - this is reflected in the tendency to deepen the demonization of the plot in the "man-doll" paradigm. And if at first a doll was made from a dead person, then in the 2000s it was made from a living person, thereby increasing the tendency towards sadism and cruelty on the screen; c) in almost every film there are codes of expressionism: the antinomy of "us-them", "light-darkness", "chronotope of the loop", a farce (fair, brothel), the motive of all-consuming fire; d) in every decade, the aesthetics, the philosophy of expressionism and the realities contemporary to directors are mutually enriched. The trend towards mutual enrichment also occurs at the level of genres (the sum of expressionist techniques in cinema - and slasher).
THEORETICAL FOUNDATIONS OF THE REFLEXIVE PARADIGM AS A METHODOLOGICAL WAY TO SOLVE THE PROBLEMS OF GENERAL EDUCATION

The article applies a paradigmatic approach to the problems of general education as a methodology for their analysis, design and solution, which allows to comprehensively consider ideological ideas about the goals and objectives of education.The author reveals the philosophical foundations of the reflexive paradigm, in which such a goal of education as the independent finding of new norms is achieved -not within the framework of increasing knowledge, but from the point of view of the concept of understanding, the formation of the value-semantic sphere within the framework of the personal paradigm.
SYSTEMS IDENTIFICATION USING NEURAL NETWORKS AND EXTREME LEARNING MACHINE

Systems identification is the procedure through which mathematical models are obtained from observed data of a given process. An effective way to perform system identification is through neural networks. However, traditional methods of training feedforward networks require several iterative cycles to adjust weights, which makes this procedure very slow. In this paper we present the algorithm Extreme Learning Machine, used for training single-hidden layer feedforward neural network. This algorithm allows the neural network to achieve the best learning performance, at an extremely high speed. Experimental data from tests performed on a buck converter are used. The best network topology is determined by cross validation. The Extreme Learning Machine and Levenberg-Marquardt algorithms are applied to a single-hidden layer feedforward neural network to perform the buck converter identification. The results of simulations indicate that the algorithm Extreme Learning Machine allows to obtain smaller validation errors in very reduced periods of time.
Development of a Universal Running Time Predictor using Multivariate Regression

Various types of running times exist for analysis of algorithmic efficiency. This research presents a more empirical approach to the problem for the practical measurements of the actual running time of algorithms by considering a plethora of randomized inputs R n and then fitting a regression curve in n to the algorithm of practical time complexity ν (n). This will also provide us the productivity factor η which will quantify the universal running time with respect to the asymptotic worst-case complexity and evaluate the efficiency of the given algorithm with the help of leading coefficients. This research will also help us compare similar algorithms in a mathematically modelled manner.
Cultivating Interest in Folk Culture in Elementary School Students

. The article presents an analysis of the concepts of “folk culture”, “cultivating interest in folk culture”. The relevance of the issue of cultivating the interest of younger students in folk culture is revealed. The role of folklore in the development of folk culture, as well as the educational potential of one of its genres, a folk tale, are substantiated. The theoretical justification and practical experience on the use of folklore works in the educational process of elementary school through the implementation of pedagogical technologies in the process of designing extracurricular activities (games, computer, group activities) is presented.
Integration of the content of education in the school textbook on natural science &amp;quot;Synergy&amp;quot; in the United Kingdom

The article actualizes the problem of finding scientifically-based ways to improve a school textbook based on modern views on the post-non-classical stage of the development of science and the need to reflect them in the content of general education. In particular, the emphasis is placed on the integrity of scientific knowledge about the surrounding world. Based on the analysis of the content of the textbook “Combined Science: Synergy”, created in 2016 in the UK for secondary school, the didactic means (the main text, the apparatus of organization of assimilation, illustrative material, orientation apparatus) by which the textbook implements the principle of integrating the content of education are considered. This research of the means of implementing the principle of integration in a modern textbook reveals its focus on achieving one of the main education goals – the formation of a holistic scientific picture of the world.
PECULIARITIES OF THE RESEARCH OF USING THE IMAGE AS A COPYRIGHT OBJECT ON THE INTERNET

Developing extremely fast, the Internet has changed our usual socioeconomic mouths. Adapted to new changes and such a regulator of relations in society as law, since the circle of issues it regulates has changed drastically. If earlier the right dealt with material objects, now there is a need to adapt the same copyright to the emergence of new technologies: printed works are increasingly replaced by electronic copies using photo, video and other audiovisual materials. Most often transmitted through the Internet, and including by such transfer infringed copyrights, such objects of rights: literary, musical and audiovisual works, computer programs, as well as works of fine arts, photography, etc. Among the reasons for such mass illegal reproduction of copies of copyrighted works can be identified technical simplicity of the operation. With the development of technology, the Internet user needs less and less time to receive an identical copy of the work on his computer, or one that is practically inferior to the original in quality. The transfer of literary and musical works is carried out with a speed that far exceeds the speed of reading or listening to such works. Another reason for the illegal circulation of works is the elementary absence of attractive options for legally obtaining the necessary works in the presence of illegal ones. It is obvious that individual rights holders are not able to track the spread of protected objects in digital networks and their use when creating multimedia products. Rights holders are actually deprived of the opportunity to protect their rights in the digital environment in the same ways as in the usual use of copyrighted objects. However, there is a clear interest not only in almost all rights holders, but also in most users in finding legal ways to solve emerging problems. The relevance of this article is determined by the fact that with the rapid development of Internet technologies, there is a need to improve legal regulation regarding the use of images of intellectual property objects on the Internet.
An example of chatbot in the field of education in the Republic of Serbia

Students can retrieve information from the website or use the services of an existing information system (provided the information system is on the internet). However, we know from experience that searching a website is time-consuming or even inaccurate, and the functionality of the information system is limited. Chatbot makes it more natural, efficient and faster. Chatbot can understand natural language, i.e. written text and voice messages. It gives precise answers and performs all actions intended by the website and / or the information system. But the website and the information system do not have the richness of language that the chatbot has. You have to log in to the information system and know how to use it, and each new version requires new learning. If you know how Viber or FB Messenger work, you probably know how to use chatbot. The services provided by chatbot are visible on communication platforms used by a large number of users, and thus the quality of these services is better. Due to the use of chats, the human resources of the educational institution are redirected/retrained to more responsible and creative jobs because the workload has been relieved. The paper presents a chatbot called ADA, developed at the Belgrade Business and Arts Academy of Applied Studies (BAPUSS), and shows basic usage statistics. It also points out the importance of chatbots as a communication channel in educational institutions.
Creating an Auto-Trigger Free-Style Job to Manage Java API Releases

In the last chapter, you learned about Git, GitLab, the Nexus repository, and how to integrate the Maven build tool with the Nexus repository. You also created a free-style Jenkins job to release the CalculatorAPI2.0 JAR on the Nexus repository. Now that you have the required knowledge, it's time to look at a few more interesting, real-time scenarios.
Mobile Robot Path Planning Optimization by Artificial Bee Colony

The main goal of this paper is to set a new approach in optimizing the problem of path planning for an autonomous mobile robot in static and dynamic environments.The development of computing and information technology has made life easier for people in many areas.With the increase in computing power, new branches of science have developed, such as artificial intelligence, machine learning, and deep learning.As this is an area that is developing very fast, so has its application in various spheres of society.Currently, robots are considered an important element in society.This is due to the relief of humans by robots in basic and dangerous conditioning.Still, designing an effective navigation strategy for mobile robots and ensuring their securities are the most important issues in autonomous robotics.
No-reference image quality assessment based on automatic machine learning

In different applications in deep learning, due to different required features, it is necessary to design specialized Neural Network structure. However, the design of the structure largely depends on the relevant subject knowledge of researchers and lots of experiments, resulting in huge waste of manpower. Therefore, in the field of Image Quality Assessment (IQA), the authors propose a method to apply Neural Architecture Search (NAS) to IQA. Mainly through the Differentiable Architecture Search algorithm, the structure of the modular Neural Network unit is searched by the stochastic gradient descent algorithm with better training performance by relaxing the operation features into a continuous space. Also, the idea of weight sharing is used to further save. The authors use the mainstream IQA database LIVE to search for Neural Network structures, and retrain and validate the searched structures in four datasets. A large number of experiments show that the model obtained by the search experiment achieves the effect of the best algorithm at this stage, and has a certain quality. The main contributions of this paper are: Transform the DARTS algorithm to adapt the regression problem, and introduce the Neural Architecture Search algorithm into the IQA field and conduct experimental verification.
CEN-Tamil@DravidianLangTech-ACL2022: Abusive Comment detection in Tamil using TF-IDF and Random Kitchen Sink Algorithm

This paper describes the approach of team CENTamil used for abusive comment detection in Tamil.This task aims to identify whether a given comment contains abusive comments.We used TF-IDF with char-wb analyzers with Random Kitchen Sink (RKS) algorithm to create feature vectors and the Support Vector Machine (SVM) classifier with polynomial kernel for classification.We used this method for both Tamil and Tamil-English datasets and secured first place with an f1-score of 0.32 and seventh place with an f1-score of 0.25, respectively.The code for our approach is shared in the GitHub repository. 1
Privacy in the Smart Household: Towards a Risk Assessment Model for Domestic IoT

There has been an overwhelming increase of connected Internet of Things (IoT) devices on the market in recent years, and the number is rapidly growing. The applications for IoT are nearly endless, and the emergence of house assistants made IoT available for the masses and everyday consumers. With this exponential growth come challenges, and one of the most pressing is perhaps the risk of privacy breach. These small IoT devices rarely have any real computing power, and therefore are rarely equipped with antivirus software or other safeguards. Most IoT devices rely on the same communication protocols that they have always used, and with the evolution of the internet of things, and the internet in general, there are revealed new vulnerabilities everyday due to little or no effort to update or patch the existing software in these devices. Even the companies that publish their device specifications and information, leave it almost impossible for the user to understand, or even find said information. With the Risk Assessment model, this research aims to give the users of smart devices a tool to determine the potential risks that are involved with the internet of things and the many different smart devices.
Research on Dangerous Area Monitoring and Early Warning System Based on Image Processing

The analysis and detection of moving objects is an important branch of image processing technology and computer vision, which has great theoretical and practical significance and has been concerned by experts and scholars at home and abroad. In practice, it is a continuous process to conduct video surveillance of the designated area through the camera, and the monitor completes the judgment of moving objects in the video. However, this kind of routine monitoring through long-term artificial observation has a series of shortcomings such as high cost and ground stability, so it is necessary to introduce the analysis and detection of moving target. Moving target detection is the basis of the whole monitoring process, and the accuracy of moving target extraction is directly related to the quality of the subsequent advanced processing process. Different from traditional video surveillance, this study focuses on video and human-computer interaction, video surveillance area defines a target area in advance, and the object finds the target when the designated activity monitoring object, monitoring equipment to send a warning, and this information is transmitted to the monitoring, so as to complete the two-way exchange of information.
A Basic Study on Capacitive Sensor for Diaper Absorption Volume Estimate

The production of disposable diapers is rising due to an increase in number of elderly people who require nursing care. When providing diaper care, it is difficult to know remotely the time of urination and amount of urine absorbed by a diaper. Hence, a remote sensor system that automatically records the time and amount of urine in a diaper is being developed. In this study, a digital capacitive sensor system was developed to estimate the amount of diaper absorption. Preliminary and phantom experiments were conducted to investigate the basic performance of the developed system. We also measured the amount of urination of two subjects using the developed system. A phantom, a waist-type torso mannequin filled with saline solution, and two male subjects wore pad-type diaper on the inside and tape-type diaper on the outside. Electrodes were attached to the outer surface of the tape-type diaper to measure the change in capacitance caused by urination. In the preliminary experiment, the developed system measured capacitors with known capacitance within 5.47% error. In the phantom experiment, the change in capacitance decreased as the amount of pseudo-urine absorbed by the pad-type diaper increased. Moreover, the results of human subjects urinating five times were consistent with the results of the preliminary experiment. Therefore, remote and quantitative evaluation of the urine absorption volume was possible using the developed digital system.