Reviewerly/exHarmony huggingface dataset:
Features of Conflicts in the Pedagogical Team

The publication examines the nature, functions and causes of occurrence of conflicts in the pedagogical team. The attitude of pedagogical specialists to conflicts in their professional activities has been studied. The interpersonal relationships between teachers in the pedagogical college were analyzed.
ConVRgence (VRIC) Virtual Reality International Conference Proceedings

This document presents the proceedings of the VRIC - ConVRgence conference held on July 7-9, 2021. The conference was organized again this year in a particular context, that of the COVID-19 health crisis, and the usual dates were shifted from March to July to allow for a hybrid format both in-situ in Laval, and in the Laval Virtual World. We hope that next year will be back to normal, both in terms of organization and volume of submissions. We would like to thank the authors who submitted their research works, as well as the reviewers for their contributions.&#x0D; Simon Richir, Arts et Métiers Institute of Technology, Scientific Director of Laval VirtualOlivier Christmann, Arts et Métiers Institute of Technology, Co-chairGeoffrey Gorisse, Arts et Métiers Institute of Technology, Co-chair.
Plenary Panel Cognitive Machine Intelligence and Killer Applications

Cognitive Machine Intelligence and Killer ApplicationsCognitive intelligence often refers to the machine intelligence that can augment human cognitive functions, possibly with continued interactions and feedbacks with human.In the recent five years, we have witnessed rapid deployments of cognitive intelligence in business, science and engineering applications.This panel consists of distinguished experts in AI algorithms, AI systems, and AI applications.They are the leaders in developing and deploying cognitive intelligence in cyber-physical systems, education, social media, medicine and representation learning.The panelists will share their points of view in terms of killer applications and research challenges in cognitive machine intelligence and debate on how cognitive intelligence technologies may impact on the cyber, social and physical world in which we live, work and interact.
Government Policy in Realizing Basic Education Metro

This paper presents government policy in realizing basic education metro. The policy of aid programs in the field of education with the aim of freeing the cost of education for students who are unable and lighten the burden for other students in order to support the achievement of the Basic Education Compulsory Education Program Through a policy program the central government provides funds to elementary and junior high schools to help reduce the burden of education costs that must be borne by parents. The cost of aid is given to schools to be managed by the provisions stipulated by the central government.
Digital Video Forgery, Detection and Authentication Techniques

We are living in the era of multimedia technology. Digital video occupies an imperative role in our daily life. With the use of omnipresent multimedia technology, we can create process, transmit and store digital information in many forms such as an image, audio and video. Digital video is convenient tool in forensic investigation, medical treatment, education, entertainment and other disparate fields. Videos are recorded by the people with their smart phones, camcorders, digital cameras and CCTV cameras. We have seen the rapid growth and development in the use of surveillance cameras. Videos recorded using these electronic and smart gadgets mostly contain crucial proof of most of the events. Inasmuch, the most affected to inter frame forgery which can be freely done by replication, insertion, removal and deletion of frames. However, the advancement and usage of inexpensive and effortless video editor software there has been tremendous growth in the consequences and risks of usage such editing techniques. Therefore, forgery is a technique of getting altered, fake and duplicate videos by joining, altering new video. Hence, the genuineness of such digital videos questionable and requires to be verified. In this paper review various video forgery detection methods those are applied to detect whether the video is original or duplicate, real or fake and digital video authentication techniques.
An analysis of students’ Grammar mastery in writing recount text

The present study aims to find out the students’ ability to write recount text and find out the students’ grammar mastery in writing recount text, and how the grammar errors that the students make relate to their recount text production. This research used mixed methods. A writing test was implemented as the instrument in this research. The population of this research was the tenth-grade students of one of the public senior high schools in Gowa regency, South Sulawesi, Indonesia. Thirty students were chosen randomly using a convenience sampling approach. The researchers found that the students could construct recount text well in analyzing the data. This research also showed that all the samples achieved the minimum completeness criteria that the school determines. The sample applied grammar in recount text, including simple past tense, past continuous tense, past perfect tense, past future tense, verb conjugation, and auxiliary verb. The students' recount text had grammatical problems. Intralingual errors caused most of the errors that showed in students' recount text. It occurs because students may lack experience and knowledge of English grammar, which differs from the grammar of their native tongue. As a result, students should enhance their writing skills and practice more, especially while producing recount texts
An Improved APF Method for Complex and Dynamic Obstacles’ Avoidance

In this paper, an improved artificial potential field (APF) method combined with Bug2 is proposed for dynamic obstacle avoidance of mobile robots, which eliminates the trajectory oscillations and avoids failure when encountering a complex obstacle. First, the problems of avoidance failure and trajectory oscillations of the relative position and velocity-based APF were analyzed. Then, a Bug2-based APF method is proposed by using the M-line of Bug2 to optimize the avoidance trajectory. The proposed method makes the angle of the virtual repulsion force tangent to the obstacle, which results in avoidance that the trajectory surrounds the obstacle along with the M-line. Finally, the effectiveness and practicability of the proposed method are demonstrated by performing many simulations and experiments. The results show that the proposed method can realize safe and autonomous dynamic obstacle avoidance and significantly improve the robot’s success rate and obstacle avoidance efficiency.
Fast recognition method of switch multi-state based on AR technology

The multi-state rapid recognition of switches is the basic service of the AR intelligent interactive system. In order to minimize the computational burden, this article first analyzes the state characteristics of different types of switches, and introduces the advantages of HoloLens2 AR smart glasses in the recognition of the switch state. Then, according to the degree of importance, the laser point cloud scanning technology is used to generate a three-dimensional model of the equipment object and the surrounding environment that takes into account the accuracy and the amount of data. Finally, the visual SLAM algorithm technology based on the feature point method is used to complete the rapid recognition of the switch multi-state. Practical applications show that, for the switch state on the device, the recognition rate of the AR technology-based switch multi-state rapid recognition method proposed in this paper is up to 100%, which meets the needs of the AR intelligent interactive system.
THE FUTURE OF DIGITAL CURRENCY

The Covid-19 crisis, or even the restrictions, quarantines, and lifestyle changes that it brought, occurred in the year 2020. Economic statistics mentioned the effects of the crisis. Stock exchanges around the world, for example, have experienced substantial collapses, leading in a drop in the value of various individuals' assets. During the Covid-19 crisis, this master's study attempts to understand the utility of cryptocurrencies for hedging and safe haven objectives. It's difficult to make consistent conclusions about the suitability of cryptocurrencies for hedging against financial market risks based on existing research. Previous results have varied greatly based on the model utilized, the time period, and the asset risk hedged. Usability for hedging purposes varies in general. In this study, we wrote an article based on the most popular cryptocurrencies in the world and their development mechanisms, history and other facts. The article also discusses the role and importance of cryptocurrencies as a means of payment in the future. Keywords: cryptocurrency, covid-19 crisis, bitcoin, ethereum, blockchain technology
Practice improves performance of a 2D uncertainty integration task within and across visualizations

Information uncertainty is ubiquitous in everyday life, including in domains as diverse as weather forecasts, investments, and health risks. Knowing how to interpret and integrate this uncertain information is vital for making good decisions, but this can be difficult for experts and novices alike. In this study, we examine whether brief, focused practice can improve peoples ability to understand and integrate bivariate Gaussian uncertainty visualized via ensemble displays, summary displays, and distributional displays, and we examine whether this is influenced by the complexity of the displayed information. In two experiments (N=118 and 56), decision making was faster and more accurate after practice relative to before practice. Furthermore, the performance improvements transferred to use of display types that were not practiced. This suggests that practice with feedback may improve underlying skills in probabilistic reasoning and provides a promising approach to improve peoples decision making under uncertainty.
The Role of Moral Education in the Process of Mastering Knowledge

Introduction. The article draws attention to the historically established types of knowledge. It is noted that the development of a technogenic society objectively requires a moral component in the process of acquiring knowledge. The purpose of the article is to substantiate, within the framework of a hierarchically subordinate approach, the connection between theoretical and practical components in the learning process. Materials and Methods. The theoretical and methodological basis is the concepts of Thomists and Neo-Thomists. The matrix is a hierarchically-subordinate approach, which presupposes the formation of both stable knowledge in the corresponding academic discipline in the learning process, and the mechanisms of the formation of a moral personality. Causal-genetic and axiological methods are used as tools. Results. The article argues that the application of the analyzed approach is an effective way to acquire knowledge and transform it for the development of a moral and creative personality. The main conceptual provisions of the considered approach are highlighted, which allows, on the one hand, to form the pedagogical skill of the teacher in the framework of training, on the other hand, to change the student’s value system, developing an interest in knowledge and moral perfection. Discussion and Conclusion. The practical significance of the research focused on the formation of a personal value system is emphasized. The conditions for the practical implementation of the proposed methodology, which occupies an adjacent position between the motivational and educational aspects of the educational process, are indicated.
Internet fraud: The influence of Identity Flexibility and Dissociative Anonymity

The purpose of this paper is to investigate the influence of identity flexibility and dissociative anonymity on internet fraud, focusing on the cyber deception and theft. Four victims, three culprits, and an experimental website were used to collect data for case study analysis. The researchers employed qualitative and quantitative data analysis for the study. Content analysis of interview transcriptions and results obtained from experimental website were used as the main data collection sources and tools. This study found that victims of internet fraud were defrauded by culprits who clearly practiced the application of identity flexibility and dissociative anonymity in their illegal endeavours. Despite the authenticity of registered crime related users on the experimented website, the true/actual identity of users could not be confirmed even though their credentials were technically validated before being saved. Findings shown in the study confirm the theoretical postulate that “identity flexibility, dissociative anonymity and lack of deterrence factor in the cyberspace provides the offenders the choice to commit cybercrime”. The findings are also consistent with extant studies on the isolated studies that indicate anonymity as the trump card of most cyber criminals. Findings from culprits suggests that they make a conscious effort to satisfy all requirements but without genuine identification and credentials. Practical implications study provides some recommendations for fraud prevention on the internet. The major one is the need for practitioners and future researchers to emphasize on development of solutions that serve as a reliable check on authenticity of users as well as deterrent to all fraudulent users. This study is original, as it focuses on internet fraud that is highly pervasive as per previous research findings
The Electronic Gadgets Explosion Burn

With the technological progress of humans and the need to stay connected by various means of communication including laptops and smartphones, security measures must follow the qualities of computers as well as their chargers. Explosion burns of electronic gadgets are rarely reported in the scientific literature. We report three cases of explosive burns of electronic gadgets including one by explosion of a laptop computer. The aim of our work is to explain the explosion mechanism and emphasize the safety measures to be followed to limit this type of accident, which can be serious and sometimes fatal.
Angular Web Application

Web development is like building a house. Just as we need a system, city building permit and license, web development also requires documentation, proper server, structure and programming language. From ever-changing web design levels to the complexity of technology required, frameworks have become an integral part of developing web websites or applications. It does not make sense to rename a wheel, thus designing rich and attractive websites, it makes more sense to use frames authorized by developers around the world. Django, Angular, Spring, React, Vue, Express are some of the most popular web development frames. In my project I used Angular
Xavier-Enabled Extreme Reservoir Machine for Millimeter-Wave Beamspace Channel Tracking

In this paper, we propose an accurate two-phase millimeter-Wave (mmWave) beamspace channel tracking mechanism. Particularly in the first phase, we train an extreme reservoir machine (ERM) for tracking the historical features of the mmWave beamspace channel and predicting them in upcoming time steps. Towards a more accurate prediction, we further fine-tune the ERM by means of Xavier initializer technique, whereby the input weights in ERM are initially derived from a zero mean and finite variance Gaussian distribution, leading to 49% degradation in prediction variance of the conventional ERM. The proposed method numerically improves the achievable spectral efficiency (SE) of the existing counterparts, by 13%, when signal-to-noise-ratio (SNR) is 15dB. We further investigate an ensemble learning technique in the second phase by sequentially incorporating multiple ERMs to form an ensembled model, namely adaptive boosting (AdaBoost), which further reduces the prediction variance in conventional ERM by 56%, and concludes in 21% enhancement of achievable SE upon the existing schemes at SNR = 15dB.
Formation of Leaders’ Reserve for Educational and Academic Organizations

The article presents leaders appointment and selection methodology and procedures, the results of unique studying the competencies of rectors and academic institute leaders including those that ensure effectiveness of the organization. The main attention is paid to the model of managerial competencies as a standard, compliance with which becomes the basis for inclusion in the personnel reserve, and valid evaluation tools. To create the model, a competence-based approach, tools of the national qualification system, and a sociological survey were used. Authors describe the procedure for selecting potential managers, the methodology for developing case assessment tasks, and the criteria for ensuring the objectivity of evaluating their performance. It is shown that introduction of the model made it possible to update the qualification requirements for the leaders of universities and academic institutes; to form a system of competencies diagnostics of applicants for managerial positions; to prepare recommendations for the development of professional development programs.
Design of multidimensional film scoring model based on TOPSIS algorithm

With the development of the "digital" era, film reviews have moved from words to numbers. General film ratings use expert or public ratings as a single type of evaluation index to score films according to different weights. In this paper, different types of evaluation indexes are selected in a multi-dimensional way. The evaluation indexes are divided into pre-screening period, screening period and post-screening period in the time dimension. The most representative evaluation indexes in different periods are selected for multi-dimensional evaluation of film quality in this period. Finally, the overall score of the whole film is combined with the score of each period. The weights of each evaluation index will be different according to their own characteristics, and the weights of this paper are basically determined by analytic hierarchy process (AHP). Scores for each period were calculated based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) algorithm. Based on the analysis of data, not only consider a fixed value, at the same time consider over time due to the evaluation, heat and other factors on the impact of film data, through the establishment of basic data rate and deeper rate data processing model of change over time, more accurate data for processing, then makes the movie score is more accurate.
Transforming print: collection development and management for our connected future

"Transforming print: collection development and management for our connected future." Journal of the Australian Library and Information Association, 71(2), pp. 182–183
Study on correlation analysis and index system construction method of joint test

In order to realize the test for equipment system, shorten the test period, reduce the test consumption and speed up the process of equipment assigning to users, the joint implementation method of multi-type equipment is proposed. Firstly, the relevance of the joint implementation with different single-type equipment is analyzed, including the joint implementation correlation analysis and the independence analysis of test evaluation; Then the construction method of system capability index and single-type equipment index is presented; Finally the model based on subjective weight, objective weight and combination weight is expounded respectively.
Robust image similarity metric method for SAR images

Synthetic aperture radar (SAR) image similarity metric is at the core of SAR image interpretation techniques, however, it is still a challenging task due to complex nonlinear intensity, scale, and rotation differences between SAR images and other remote sensing images. This letter addresses this problem by proposing a novel similarity metric method for SAR images using structure and shape properties. The magnitude and orientation representation of the phase congruency model is first built based on the local phase of images. Then a new scale and rotation-invariant local binary pattern (SRI-LBP) descriptor is proposed using local structure and shape information. Finally, a similarity metric is defined using the symmetry Kullback Leibler divergence (SKLD) of the SRI-LBP descriptors. Numerical experiment results verify its robustness in terms of nonlinear intensity, scale, and rotation differences.
Blockchain in the Middle East and North Africa (MENA): Opportunities for Regional Integration and Economic Growth

Composed of an assortment of countries with vast differences in economic and political development, the Middle East and North Africa (MENA) region has historically been slow to embrace integration. The region consists of a diverse mix of countries with complex colonial legacies, ongoing warfare, tribal and religious enmity, and extreme wealth disparity. Recent advances in technology have the potential to enable greater cohesion and development. One such innovation is blockchain, an immutable distributed ledger technology that eliminates intermediaries and revolutionizes how transactions take place over the Internet. While originating as the technology underlying Bitcoin and other cryptocurrencies, blockchain has been applied in many other areas in which data integrity and transparency is vital and has been adopted around the world. This paper explores blockchain adoption in the MENA region, focusing on the financial systems, government policies, and innovation ecosystems within the member countries. Huge discrepancies in the levels of development and adoption of the technology in the MENA countries are revealed, with Israel and several of the oil-rich Gulf states being the most advanced. Examples of blockchain-related collaborations among MENA nations are presented and the future trajectory of blockchain adoption is explored. Keywords: MENA, Blockchain, Cryptocurrency, Middle East, North Africa, Regional integration
Implementasi Model Pembelajaran Think-Pair-Share Berbasis RME dalam Upaya Meningkatkan Prestasi Kelas VII D SMPN 2 Kumai

The learning model that has been applied so far is the conventional learning model, in which the teacher dominates the learning activities, and the activeness of the students is lacking. The problem in this study is whether the Think-Pair-Share learning model based on RME on the subject of Square and Rectangles can improve achievement, motivation, and math activities in learning mathematics for grade VII students of SMP Negeri 2 Kumai in the 2019/2020 school year. Learning is carried out in 2 cycles. Cycle I on square material, cycle II on rectangular material. The data obtained were analyzed descriptively and t-test. Based on the results of the study, there was an increase in achievement, activity, and learning motivation of class VII students of SMP Negeri 2 Kumai for the 2019/2020 school year. With suggestions, the teacher should choose the RME-based TPS cooperative learning model in the mathematics learning process, especially TPS on square and rectangular material to improve student achievement.