Reviewerly/exHarmony huggingface dataset:
The Innovative Design of the Electric Vehicles for Shell Eco-Marathon Asia Contest

Due to technological developments and redoubled focus on renewable energy, electric vehicles are revived in the 21st century. A great deal of demand for electric vehicles is developed and some do-it-yourself (DIY) engineers begin to share technical details for electric vehicle conversions. This paper shows a design process such as problem definition, design objective, design concept, prototype, and test. The process inspires many students of groups at our universities to put the theory of energy efficiency to the test, using innovative technology, reflective thinking apologetics, and creative ideas. Then, the concept of an electric vehicle is tested for driving in Shell Eco-marathon Asia Contest with the best energy consumption.
Students’ mathematical conceptual understanding during online learning

This study aims to obtain an overview of students' mathematical conceptual understanding during online learning. The method used in this research was descriptive qualitative with the research subject were the 20 fourth grade of elementary school students in Garut Regency. They were selected through purposive sampling techniques. Data were collected through test instruments related to students' mathematical conceptual understanding and interview guidelines related to online learning problems. The result showed that fourth grade students’ ability to understand mathematics concepts was not optimal. Learning strategies that optimized online learning platform did not work well.
University and Regional Landscape of Doctoral Studies in Russia: Financial Trajectories of Graduate Students

Training of a new generation of graduate students plays a key role in ensuring a country’s sustainable socio-economic development and active enhancement of human capital by continuous reproduction of cutting-edge knowledge in the form of research and development (R&amp;D) for industry. In this context, it becomes important to examine the development dynamics of doctoral studies in Russian regions, as well as the graduate students’ financial well-being affecting their educational mobility and general opportunities to receive education (in particular, necessity of employment). The development of doctoral studies is analysed taking into account the distribution of resources (financial, intellectual) by regions and universities. The study also considers the concentration of resources in Russian universities capable of generating breakthrough ideas and technologies, which can be seen as centres of attraction for proactive youth. The methods of secondary data analysis, comparison, classification, and infographics were applied to process information. Such data as the monitoring of the effectiveness of Russian universities in 2014-2020 and sociological surveys of graduate students of a leading Russian university for 2017-2020 were analysed. As a result, the study presents a map showing the concentration of graduate students in certain regions, which takes into consideration their number, inflow and outflow. In addition to the capital regions (their share is 47.9%), the Republic of Tatarstan (3.2%), Tomsk oblast (2.4%) and Sverdlovsk oblast (2.1%),where leading Russian universities are located, were revealed to be the centres for attraction of graduate students. The top 7 regions also include Belgorod (the share of graduate students is 2.7%) and Rostov oblasts (2.4%) characterised by the presence of strong research and federal universities. However, due to the lack of funding (85% of graduate students have to combine work and studies), the outflow to foreign universities is increasing even in the regions that attract a large number of scholars. The obtained findings can be used to improve the mechanisms for supporting graduate students in order to contribute to sustainable development of regions.
GoldFinger: Fast &amp; Approximate Jaccard for Efficient KNN Graph Constructions

We propose <i>GoldFinger</i> , a new <i>compact</i> and <i>fast-to-compute</i> binary representation of datasets to approximate Jaccard's index. We illustrate the effectiveness of GoldFinger on the emblematic big data problem of K-Nearest-Neighbor (KNN) graph construction and show that GoldFinger can drastically accelerate a large range of existing KNN algorithms with little to no overhead. As a side effect, we also show that the compact representation of the data protects users’ privacy <i>for free</i> by providing <i>k</i> -anonymity and <i>l</i> -diversity. Our extensive evaluation of the resulting approach on several realistic datasets shows that our approach reduces computation times by up to 78.9% compared to raw data while only incurring a negligible to moderate loss in terms of KNN quality. We also show that GoldFinger can be applied to KNN queries (a widely-used search technique) and delivers speedups of up to <inline-formula><tex-math notation="LaTeX">$\times 3.55$</tex-math></inline-formula> over one of the most efficient approaches to this problem.
OPTION: OPTImization Algorithm Benchmarking ONtology

Many optimization algorithm benchmarking platforms allow users to share their experimental data to promote reproducible and reusable research. However, different platforms use different data models and formats, which drastically complicates the identification of relevant datasets, their interpretation, and their interoperability. Therefore, a semantically rich, ontology-based, machine-readable data model that can be used by different platforms is highly desirable. In this paper, we report on the development of such an ontology, which we call OPTION (OPTImization algorithm benchmarking ONtology). Our ontology provides the vocabulary needed for semantic annotation of the core entities involved in the benchmarking process, such as algorithms, problems, and evaluation measures. It also provides means for automatic data integration, improved interoperability, and powerful querying capabilities, thereby increasing the value of the benchmarking data. We demonstrate the utility of OPTION, by annotating and querying a corpus of benchmark performance data from the BBOB collection of the COCO framework and from the Yet Another Black-Box Optimization Benchmark (YABBOB) family of the Nevergrad environment. In addition, we integrate features of the BBOB functional performance landscape into the OPTION knowledge base using publicly available datasets with exploratory landscape analysis. Finally, we integrate the OPTION knowledge base into the IOHprofiler environment and provide users with the ability to perform meta-analysis of performance data.
AN ANALYSIS OF STUDENT BOREDOM LEARNING DURING THE COVID 19 PANDEMIC IN ELEMENTARY SCHOOL JAKARTA, INDONESIA

Almost all sectors of life have felt the impact of the COVID-19 pandemic. Education is one of the sectors that feel the effect. Schools conduct distance learning to minimize the spread of the COVID-19 virus. As a result, many students experience various emotions, one of which is boredom. This study analyzes learning boredom between male and female elementary school students in Jakarta, Indonesia, during the COVID-19 pandemic.&#x0D; The research method used is descriptive quantitative with data in the form of a closed questionnaire where respondents are given five alternative answers. Furthermore, it is investigated whether there is a difference in boredom between men and women. This research was conducted with 23 male students and 20 female students in elementary school. The results showed boredom in male and female students caused by psychological factors, situational factors, and cultural factors. There are differences in learning boredom between male and female students, but not statistically significant.&#x0D; &#x0D; Keywords: COVID-19 pandemic; distance learning; boredom learning; elementary school.
Radiometric mapping of the Berg River estuary

Abstract Geographic Information Systems (GIS) consists of various tools to perform spatial analyses in a wide variety of disciplines, including radiometric analysis to characterize the distribution of natural radionuclide concentrations. Recently, open‐source GIS has become popular among geospatial users because it can be freely used, and powerful tools are constantly developed to enhance software capabilities. Gamma‐ray spectroscopy was used to measure the concentrations of these natural radionuclides by dragging a Delta Underwater Gamma System (DUGS) among the sediment in the Berg River estuary located in Velddrif, South Africa. In this study, QGIS was used to visually illustrate and interpret the distribution of natural radionuclides, that is, potassium (K 40 ), thorium (Th 232 ), and uranium (U 238 ). These concentrations can be used to investigate various geographical and geological phenomena, which include sediment processes. The data were then interpreted to derive sediment characteristics. Various features of tidal estuaries were demonstrated by the results.
A Data-Efficient Training Method for Deep Reinforcement Learning

Data inefficiency is one of the major challenges for deploying deep reinforcement learning algorithms widely in industry control fields, especially in regard to long-horizon sparse reward tasks. Even in a simulation-based environment, it is often prohibitive to take weeks to train an algorithm. In this study, a data-efficient training method is proposed in which a DQN is used as a base algorithm, and an elaborate curriculum is designed for the agent in the simulation scenario to accelerate the training process. In the early stage of the training process, the distribution of the initial state is set close to the goal so the agent can obtain an informative reward easily. As the training continues, the initial state distribution is set farther from the goal for the agent to explore more state space. Thus, the agent can obtain a reasonable policy through fewer interactions with the environment. To bridge the sim-to-real gap, the parameters for the output layer of the neural network for the value function are fine-tuned. An experiment on UAV maneuver control is conducted in the proposed training framework to verify the method. We demonstrate that data efficiency is different for the same data in different training stages.
Information security risk management terminology and key concepts

Abstract Language is the foundation for any communication and the vocabulary used has a decisive influence on the ability of the communication partners to clearly understand each other. In Information Security Risk Management (ISRM), the terminology used is often dictated by industry standards and frameworks. However, there is no universally accepted terminology, which makes collaboration difficult for professionals and researchers alike. This publication compares the terminology defined by frequently used frameworks, such as ISO and NIST, in the field of ISRM. It examines the terms and inherent concepts of each terminology, compares the notion of risk and derives a concept diagram based on the most important key concepts. The result facilitates a common understanding of ISRM across frameworks and organisational boundaries, thus enables further research, discussion, intra- and inter-firm communication.
Image Compression Using Walsh Functions

Currently, image transfer and storage require compression. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transformation and the Walsh transformation that is used for quantization. The Walsh transform coefficients are quantized and arithmetically encoded. At the output, the combined data is compressed and can be stored on any device or transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.
Smart Saklar Prototipe Menggunakan Android

In our daily activities, we can never be far from using electronic devices either at home or at work. And we always use a switch to control the on or off of the electronics that we will use, for example, the use of lights, room curtains, or fans. So far, we still use manual switches that are mounted on the wall to turn on or turn off the electronics. In this research opportunity, a smart switch will be used that utilizes an android application that can be accessed by a cellphone to carry out controls to turn on or turn off electronic devices. There are many advantages, where electronic users can access where they are and this research utilizes Bluetooth communication for communication between android and existing hardware systems. The results of the study obtained a system success rate of 100% with a maximum control distance that can be used as far as 15 meters without interference and 10 meters with interference.
TRAINING ENGINEERING UNIVERSITY STUDENTS FOR PARTICIPATION IN ACADEMIC MOBILITY PROGRAM

The relevance of the paper is due to the importance of students’ academic mobility as an efficient tool in human capital accumulation, and ensuring the future competitiveness of specialists in the international labor market. The purpose of this paper is to identify the importance of students’ academic mobility, its main criteria, as well as to show the implementation of programs for preparing students for academic mobility at KNRTU. The paper demonstrates the programs for preparing students for academic mobility Psychology of Professional Success and Academic Mobility Training for Studying in French Universities. Every year since 2014, KNTRU has implemented the Preparation for Academic Mobility to French Universities program. The program was created in order to prepare students for academic mobility, acquaint them with training in French universities, i.e. improve and deepen their knowledge of the French language and acquaint them with the French system of higher education. Also, to prepare students for academic mobility, the Psychology of Professional Success program was implemented. This program was successfully completed by 39 KNITU students. The goal of the program Psychology of Professional Success is professional and psychological training of students, increasing the level and readiness for academic mobility, for effective professional activity, forming a general idea of the psychology of human behaviour in various life situations, the development of professional orientation and personality psychology. The result of these programs is that thanks to the new knowledge and skills gained, KNRTU students will be more successful and competitive in their professional activities both at the Russian and world levels.
A Comparison Among Random Search Algorithms for PID Controller Optimization

Random search algorithms have been widely applied in practice to solve optimization problems. In the field of automatic control, there has been much research applying random search algorithms to optimize the parameter of Proportional – Integral - Derivative (PID) controller. The content of this research mainly stops at comparing the performance of the PID controller using the traditional tuning method with the optimization algorithm-based tuning method. Therefore, there is a need for research to compare the performance among random search algorithms for finding optimal parameters of the PID controller. In this paper, authors simulate five well-known and modern stochastic search algorithms including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Chemical Reaction Optimization (CRO), Teaching Learning Based Optimization (TLBO) to find optimal parameters of the PID controller for controlling the speed of the DC motor. The simulation results showed that the CRO algorithm is the most suitable to optimize PID controller parameters for the proposed problem.
Using blockchain technology in public administration by ML &amp; AI

The sphere of Public Administration includes a broad system of legal relations, most of which are undergoing gradual transformation due to the development and integration of digital technologies in public administration. So, the e-government system covers not only the provision of administrative electronic services, and the adoption of legal acts in electronic form, but also other areas of Public Administration, in particular electronic Parliament, Electronic Government, Electronic democracy, electronic medicine, education, etc. At the same time, these elements of e-government do not exist in isolation but are interrelated components of a single system, through which both internal and external administrative functions of Public Administration are implemented. First, it is necessary to point out the initiative "the state in a smartphone". It is assumed that this service will combine all the elements of e-governance and electronic public services, that is, it will become a single integral portal through which each person will be able to receive any public service online, track the most important events in the life of society and the state, take part in the discussion of draft acts adopted by state authorities, and so on.
The G-Qubit Theory Alternative to Conventional Tensor-Product Explanation of Entanglement

Quantum computing rests upon two theoretical pillars: entanglement and superposition. But some physicists say that this is a very shaky foundation and quantum computing success will have to be based on a different theoretical foundation. The g-qubit theory supports this point of view. Current article is the second one of the two and about the entanglement. It gives different, more physically feasible, not mysterious, explanation of what the entanglement is. The suggested formalism demonstrates that the core of future quantum computing should not be in entanglement which only formally follows in conventional quantum mechanics from representation of the many particle states as tensor products of individual states. The core of quantum computing scheme should be in manipulation and transferring of wave functions on as operators acting on observables and formulated in terms of geometrical algebra. In this way quantum computer will be a kind of analog computer keeping and processing information by sets of objects possessing infinite number of degrees of freedom, contrary to the two value bits or two-dimensional Hilbert space elements, qubits.
Trade Firms Digital Economy Quality Development Modelling: An Empirical Study Based on EED-Metaphor Corpus

This paper, based on the epigenetics and the evolutionary economics paradigm, proposes EED theory as theoretical framework to conduct a study on digital economy quality development of trade firms.An EED-Metaphor Corpus is constructed to empirically study the digital economy driving force and the process of digital upgrading of trade firms.Based on the results and findings of the Corpus, this paper further analyzes the mechanism of the digital quality development model of trade firms and draws corresponding conclusions.
Professional entrance exam in English curriculum: for Kyiv National Linguistic University applicants. Specialty: 014 secondary education Specialization: 014.021 the English language and literature Educational and professional curriculum: teaching Europ

Professional exam in English for applicants to study in the specialty 014 Secondary education, specialization 014.021 English language and literature, educational and professional program Teaching European languages on the basis of combined technologies (English and another Western European language) (hereinafter referred to as the Professional Exam) is a form of entrance examination for admission on the basis of the obtained bachelor's degree, which provides for the verification of scientific, theoretical and practical training of applicants for admission to Kyiv National Linguistic University for the second (master's) level of higher education.The professional exam aims to determine the level of knowledge and skills of applicants in the main aspects of the practical English language course, a number of theoretical disciplines of the linguistic cycle, as well as their level of proficiency in written language of different functional styles, which determines their readiness to obtain a master's degree.
Language and communication in future gamified virtual realities

Abstract There’s no need to introduce the first speaker of this morning as he is, arguably, one of the most renowned semioticians in the world. During his brilliant career he has published extensively on the topic of virtual realities and he will present to us his latest research on the defining technology of our times: the Simulatron. Specifically, he will focus on the 2053 incident which took place inside the virtual world of SimuLife during which all the users lost the ability to use verbal language and thus inventively resorted to different semiotic forms of meaning-making to communicate and interact. A topic which is of extreme relevance for this 2062 World congress « Semiotics in the Metalife ». So, without further ado, I welcome and leave the floor to Professor Wright..
An optimal gesture controlling of robotic system

The article shows the autonomous optimal gesture controlling of robotic system. The proper controlling of robotic system for gesture movement is one of the challenges for the researcher. A prototype based on movement of robotic system is design on the proteus software. The mathematical modeling of gesture movement in various directions of coordinate is designed. Thereafter various simulation results are assessed for forward, backward, left and right direction of gesture movement system. Subsequently characteristic and behavior of speed for the different set of voltage is framed and it is observed that linear characteristics shows the smooth controlling of speed with variation in speed.
Psychology in Professional Education and Training

Psychology plays a special role in vocational education in many respects. In the course of rapidly developing professional and educational worlds, its importance continues to grow. This change corresponds to a new understanding of psychological courses in vocational education and training. For individuals, as well as for institutions and organizations, the changes in the world of work can lead to orientation crises. Interest in psychological content is increasing. Psychological reflection of the vocational biography, psychological training offers, as well as the psychological career-related counseling are of special importance here. From this, recommendations can be derived to offers, to their goals, and to their didactics. Psychological theories help to grasp the meaning of the offers. From a psychological point of view, vocational training is a learning, development, and socialization process. Learning opens up opportunities for personality formation and optimal development in a changing professional world. The reflection of psychological competences offers the possibility for a competence-oriented description of programs. It also shows that the usual focus of psychological competences on social skills falls short. Psychology in academic studies and further education requires a didactic approach that enables self-determined learning in formats that are independent of time and place. This results in special tasks for didactics and the monitoring of learning processes. This is also associated with special challenges for teachers. The impact of psychological offerings in higher and further education can be seen, among other things, in the extent to which “psychological literacy” promotes personal development, innovation in the workplace, and social participation.