Reviewerly/exHarmony huggingface dataset:
Towards a metrics suite for the complexity analysis of LabVIEW systems models

LabVIEW is a popular commercial modeling tool that is often used in systems engineering. LabVIEW also includes a special programming language developed for engineers to help them support the automation of computer-aided systems. Although LabVIEW is widely used in various fields (e.g., industrial design, academic research, and engineering education), there has not been much attention given to the systems models built in LabVIEW (e.g., support for analyzing the complexity of systems models). Our previous work in surveying engineers who use LabVIEW suggests that systems engineers are deeply concerned about the complexity of the LabVIEW systems models that they create. To address the need for additional support in understanding the complexity of LabVIEW systems models, we introduce in this paper a metrics suite to assist end-users in characterizing the complexities of LabVIEW systems models from different aspects. We theoretically validated the metrics using Weyuker's validation. In addition, our metric suite was applied to 10 LabVIEW models mined from GitHub to empirically evaluate their suitability to support the description of systems model complexities. Our research is one of the first efforts to address the complexity analysis of LabVIEW systems models through a software metrics approach.
The consumer behavior analysis of virtual clothes

Although the market for NFT digital products in China is still in its early stages of development, a myriad of young individuals have recently become interested in purchasing the recently trendy virtual clothes. In order to probe deep into the value components of virtual products, the author wishes to utilize virtual clothes as a starting point to examine motivations for purchasing virtual products. On the basis of 35 consumer interviews, this study analyzed and offered nine vital motivations for people purchasing virtual clothes. It summarized these reasons as virtual clothes’ hedonic, social, and functional value. In accordance with the study, enhancing social display and interactive elements should be a top priority to make virtual products trade more popular in the future. This research hopes to optimize the design of virtual products, push NFT digital product market ahead and bring value to practitioners and academics.
Digitalization of Higher Education in the Digital Age

New technologies, new players, and new business models are evolving rapidly in the midst of the digital technology vortex. In the name of internationalization, universities' websites and social media channels are currently the most widely used information sources for target students. In this context, universities should utilize digital media to develop a comprehensive promotion, marketing, and communication strategy for their target groups. The use of digital media will enable higher education institutions to develop by allowing for more active and student-centered teaching. Furthermore, as part of providing flexibility and individualization of academic work with new student-centered learning styles, the use of digital teaching and learning resources will encourage international mobility. As a result of the rapid technological development of the economy and society based on digitalization, investment in digital infrastructure should be at the top of the priorities of higher education institutions.
Responsibility as a Professionally Important Transferrable Skill of Specialists in Agriculture-based Economies: Pedagogical Principles, Conditions and Methods of Development

Sustainable development of any society and its economy is impossible without human resources. In the modern world, soft skills such as responsibility and teamwork ability are of paramount importance. The purpose of the paper is to introduce the algorithms, methods and pedagogical principles and conditions of responsibility development in the higher educational institutions. The theoretical researches are based on the concepts of personalized learning, competence-oriented and interdisciplinary pedagogical approaches. The authors have worked out the theoretical model of responsibility development as a key soft skill and a component of learners’ professional competence. The model is a set of interrelated components combined into three blocks: process-target, organization-content and performance-evaluation ones. The paper shows the results of a prolonged experiment on testing this model in the process of learning a foreign language at the Don State Technical University. It has been experimentally proved that the system-forming condition of responsibility development is the internal locus of control of the individual.
International Experience in Implementing Information and Digital Technologies in the Educational Process of Higher Educational Institutions: The Possibility Borrowing and Adaptation

The Covid-19 pandemic turned both private and public life upside down. Teaching and learning at higher education institutions worldwide had to move online on very short notice. This means that all the educational process must be converted into a digital format for the transmission of a large array of information through electronic exchange. Online learning has been an important research topic over the past three decades, but online study programs at the universities are still limited. This article tells about the experience of foreign countries in the successful implementation of information and digital technologies in the educational process of universities. Information technologies in training are used in South Korea (Smart education), Switzerland (Wikis), Norway (Mixed learning model and co-education), Serbia (Video on demand), China (Stem - education, Moodle, Block chain). We continue with some initial thoughts on online teaching and learning in higher education in general, and emergency online teaching and learning more specifically. All of these technologies have advantages within a single state. After an overview of the international research compiled in this Special Issue, we derive a number of general insights on online teaching and learning in higher education, emphasizing, for instance, scaffolding of regulation processes or communication platforms as potential artifacts of an online teaching and learning.
Psychological and Pedagogical Training of Personnel for the Agro-Industrial Complex

In the present article, the author describes the issues of important psychological and pedagogical resources that are an effective form of educational process in agricultural sector universities. The characteristic of the primary provisions of psychological and pedagogical technology and the possibility of vital development of the teacher’s activity is given. Psychological and pedagogical workshops allow to create educational events, situations and conditions for personal and professional growth of students successfully. The article focuses on the theoretical and practical aspects of the activities of pedagogical workshops. The socio-cultural conditionalities of various aspects and tasks of pedagogical interaction of the system of agricultural education qualification activities, improvement and development of personnel management of the AIC (further AIC) are demonstrated. Today, education qualification is becoming particularly important for the country's agrarian system. The primary objective of the agrarian education qualification sector is to change the personnel professionalism potential serving the AIC. Trained personnel should be able to ensure the competitiveness and the Russia human resources food security in the worldwide agro-industrial markets. Therefore, our state is making efforts to improve the quality of agricultural education.
The Method of Identifying a Person in Formation of an Educational Trajectory

The choice of the optimal learning route in the knowledge space involves monitoring the state and dynamics of the formation of this knowledge in the student. This paper examines the main approaches to the formation of an optimal educational trajectory adopted at the transport university of the South of Russia – Rostov State Transport University, for railway specialists, training, and retraining. Effective teaching involves analysing the needs and individual characteristics of the student's personality, taking into account his psychological and physical characteristics. Monitoring of all these parameters should be carried out in real time in order to be able to adjust the educational trajectory. Personification of the trajectory, among other things, takes into account the necessary digital skills. At the same time, monitoring methods that are able to adapt to the maximum number of NON-factors characterizing real educational situations, data available in them for measurement, and real methods and ways of their processing that have inaccuracies, uncertainties and incompleteness of the corresponding models and methods can be considered preferable. The article proposes to extend the experience of analysing and transforming data in the information space of the educational environment to solving real problems of learning management. A method and criteria for selecting route options have been developed, taking into account the fuzzily formulated requirements of the technical task. The resulting method allows you to adapt the educational program to a specific student.
Possibilities to Use Information and Communication Technologies in Teaching Disciplines of the Natural Sciences Unit

The modern digital transformation of education is followed by the introduction of numerous various interactive technologies and communications in all areas of educational process. The success and effectiveness of the use of new technologies in the educational process depends largely on the conditions for their implementation: the material and technical base, the characteristics of the educational institution, the readiness of lecturers, and the chosen technologies. Currently, one of the most actual problems is the selection and evaluation of the effectiveness of such technologies, as well as their implementation and successful integration into the educational process. The purpose of the article is to generalize and analyze the results of the experience of conducting all types of classes in the discipline “Physics” at the Don State Technical University (DSTU). This experience makes it possible to study the possibilities of using information and communication technologies and proprietary teaching methods for effective teaching. The article contains the results of approbation of digital interactive technologies and teaching methods, discusses the features of the use of these technologies and methods, provides system information and practical recommendations on their application and the methods of checking the level of adoption of the competencies by students. The results of the winter and summer sessions of the 2019/2020 and 2020/2021 academic years confirmed the effectiveness of the methods used. The information provided can help to identify the most optimal methods and ways of conducting and organizing classes for the disciplines of the natural sciences unit.
The Principles of Shortened Language Means Usage in the English and German Digital Education Environment

This article deals with integrating distance technologies and innovative tools into the educational process. Urgency of the research is defined by new claims and progression in education. In the process of learning the modern innovative communication means have wide usage. Due to the use of these means the question of compression, shortness in the linguistic units becomes very importance. For the purposes of effective digital communication we have use abbreviations in the dialogues. The using of the some alphabetic numeric abbreviations is also noticed. In that context the great interest is given to the question about shorted sentences as special method of expression. The technologies of using computer programs broaden framework of the educational process, rising its practical focus, they facilitate to the intensification of students’ independent work and the intensification of their cognitive activity. Multimedia programs are designed for both classroom and independent working of the students. Information and communication technologies do allow the development of the linguistic competence. The distance learning system was created to organize the learning process for students who are at some distance from teachers. Currently, this system is used in full-time education, including the organization of independent work of students.
Research on vehicle speed identification method based on time interpolation method and feature point recognition

Based on camera calibration in detection area, an improved method of time interpolation for vehicle speed identification is proposed. Firstly, calibration of camera parameters during photogrammetry is carried out through preset rectangular detection area. Secondly, the key frames are extracted from the video images and the target vehicle feature points and their image coordinates are identified by the image morphological processing. Then the actual coordinates of the characteristic points are determined through the coordinate conversion. Finally, the improved time interpolation method considering the acceleration between frames is used to identify the vehicle speed, so as to improve the accuracy of the vehicle speed measurement. The results proved that the vehicle speed calculated by improved time interpolation method is more reliable, and the error is reduced by 0.7%.
To the Problem of Forming Communicative Strategies for Successful Adaptation of Foreign Students Learning Russian Within a Distance Educational Paradigm

Objectives: The article is devoted to the discussion and analysis of the problem of forming communicative strategies for successful adaptation of foreign students learning Russian within a distance educational paradigm. Speaking generally, the problem can be divided into several rather complicated subitems connected with bilingual education: the first aspect is connected with formation of a speaking competence as it is and the second aspect is connected with technical support of this process due to pandemic and post-pandemic restrictions. The problem of technical accessibility of education under the virus spread circumstances turned out to be an essential one because the foreign students came to Russia for study were put in the same conditions as Russian students and were transferred to e-learning no matter they were staying in the country or left for motherland. We should note that the pandemic was the starting point for the development of the latest educational technologies, the introduction of new technical skills, innovative teaching methods and creativity. Digitalization was the only possible way out of the current situation, when there was an urgent necessity to adjust the society life and an educational process by any means. Methodology: The methodology of our research includes several theoretical and empirical investigation methods such as the method of analysis, comparison, experiment and observation.
Sustainable Development of Project Activity of Students of the Technical University

In the article, the author considers the current trends in the development of students’ project activities in modern education. The solution of modern problems is based on the further development of new ways of thinking, practice-oriented competencies of students. The requirements of modern society for the formation of students’ competencies of teamwork, the development of skills for successful work in conditions of resource constraints are analyzed. The increased volume of world scientific literature on the problems of the introduction of innovative technologies, project forms of teaching in educational programs confirms the relevance of the research topic. The development of innovative production projects, educational technologies that not only connect learning with real life, but also actively develop the creative independent activity of bachelors, becomes relevant. The difficulties of implementing practice-oriented project-based training of students in teams under the guidance of mentors-teachers of the technical university are revealed. The need for the development of critical and inventive thinking of students, the ability to work in a team, the need to expand the thematic focus of promising projects for the younger generation in the education system is justified, the potential relevance of the proposed projects for solving real problems of business partners of the technical university using project training is considered.
Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video

Player tracking data are now widely used in the sports industry to provide deeper insights to domain participants. Global positioning systems (GPS) and camera-based optical tracking systems (OTS) are two common tracking systems, but the former suffers from location biases and the latter requires either a heavy installment of multiple cameras or a lot of manual correction work. Overcoming these weaknesses of individual systems, we propose a framework for cost-efficient and bias-robust player tracking by integrating GPS and video data. We design a sophisticated filtering algorithm to selectively use the positional information from bounding boxes detected in the video and use the GPS data as a reliable tool for identifying the chosen boxes. Using the player identity and location information of these bounding boxes, we estimate and remove GPS biases in two steps to obtain unbiased player trajectories. We demonstrate that our algorithm precisely tracks players from video with the aid of GPS data even in poor conditions such as the presence of player occlusions and players outside the sight of cameras.
A Probabilistic View on Predictive Constructions for Bayesian Learning

Given a sequence X=(X1,X2,…) of random observations, a Bayesian forecaster aims to predict Xn+1 based on (X1,…,Xn) for each n≥0. To this end, in principle, she only needs to select a collection σ=(σ0,σ1,…), called “strategy” in what follows, where σ0(·)=P(X1∈·) is the marginal distribution of X1 and σn(·)=P(Xn+1∈·|X1,…,Xn) the nth predictive distribution. Because of the Ionescu–Tulcea theorem, σ can be assigned directly, without passing through the usual prior/posterior scheme. One main advantage is that no prior probability is to be selected. In a nutshell, this is the predictive approach to Bayesian learning. A concise review of the latter is provided in this paper. We try to put such an approach in the right framework, to make clear a few misunderstandings, and to provide a unifying view. Some recent results are discussed as well. In addition, some new strategies are introduced and the corresponding distribution of the data sequence X is determined. The strategies concern generalized Pólya urns, random change points, covariates and stationary sequences.
Non-Fungible Tokens

This paper explores the new world of non-fungible tokens (NFT), which are unique digital assets providing proof of ownership and verification of authenticity held in the blockchain. After describing what a NFT is, we shed light on the main reasons it has value both as a financial instrument and as a new product. Second, we discuss the various types of existing NFTs, including digital artworks, play-to-earn video games, and (digital) real estate. Third, we explain how NFTs and smart contracts are created. In doing so, we discuss some technical aspects such as blockchain, non-fungible versus semi-fungible, and minting. Finally, we give an overview of existing marketplaces followed by a more general discussion of how NFTs could help improve some of market inefficiencies and could contribute to the social welfare and banking industry.
Frame Analysis

Abstract This chapter details the last component of person-oriented framing analysis: frame analysis. The component aims to classify how persons are portrayed in news articles. The chapter introduces and discusses two approaches for this task. First, it briefly presents an exploratory approach that aims to classify fine-grained categories of how persons are portrayed. Afterward, the chapter introduces the first method for target-dependent sentiment classification in the domain of news articles. The dataset and method enable sentiment classification in a domain that could not reliably be analyzed earlier. Lastly, the chapter argues for using the latter approach in the frame analysis component, in particular because of its high classification performance.
Target Concept Analysis

Abstract This chapter details the first component of person-oriented framing analysis: target concept analysis. This component aims to find and resolve mentions of persons, which can be subject to media bias. The chapter introduces and discusses two approaches for this task. First, the chapter introduces an approach for event extraction. The approach extracts answers to the journalistic 5W1H questions, i.e., who did what, when, where, why, and how. The in-text answers to these questions describe a news article’s main event. Afterward, the chapter introduces an approach that is the first to resolve highly context-dependent coreferences across news articles as they commonly occur in the presence of sentence-level bias forms. Our approach can resolve mentions that are coreferential also only in coverage on the same event and that otherwise may even be contradictory, such as “attack” or “self-defense” and “riot” or “protest.” Lastly, the chapter argues for using the latter approach for the target concept analysis component, in particular because of its high classification performance. Another reason for our decision is that using the event extraction approach in the target concept analysis component would require the development of a subsequent approach, i.e., to compare the events extracted from individual articles and resolve them across all articles.
Efficient Integrated AIoT and Blockchain Recognition Model using Blockchain Technology

In the recent decade, the world has become advanced in order to do normal activities and perform any operations through various sensor technologies. The Internet of Things (IoT) has given the opportunity to design systems for connecting anything via the internet. The IoT has also been referred to as “Machine-to-Machine” or “Internet of Everything”. Researchers are working hard to build a new framework or model of IoT with artificial intelligence to make more smart cities. That's why every day the number of artificial items or things grows in the AIoT system. In this paper, we have proposed an integrated Blockchain AIoT model to recognizing the person. The proposed solution has been worked on the decentralized blockchain storage which has also explained the specifications and circuit block diagram of the proposed model. The working model has recognized the person with high accuracy in secure manner.
Doppler Navigation on Helicopter: Error Analysis

Doppler radar navigators have been used by the military services of the USA, Great Britain, Canada and Australia since 1955. The first applications were in long range bombers and transport aircraft followed by use in fighters and Helicopters. The complete Doppler navigation system has two major components of error namely Doppler radar velocity error and the heading reference error. In this paper an attempt is made to discuss theory of error in Doppler navigation and correlate experimental flight test data with theoretical treatment. Experimental data gathered from Doppler system fitted on Helicopter is used to develop mathematical model for doppler navigation error. This model is validated using experimental flight test data.