Reviewerly/exHarmony huggingface dataset:
EDUTIONMENT AS A WAY TO INCREASE STUDENTS 'MOTIVATION IN FOREIGN LANGUAGE STUDIES

&#x0D; Taking into account the contradictory views on edutainment, the prospects of modern educational methods were considered, theoretical and practical substantiation of opinions was made, considerable attention was paid to the specifics of the target audience Generation Z, which is motivated to implement edutainment in the educational process. One of the key features of Generation Z is the naturalness of their existence in the digital space, immersion in the world of gadgets, Internet addiction, clip thinking, inability to focus on one object for a long time, fragmentation and inconsistency of their knowledge. The existing problem of inefficient academic success in the training of Generation Z members by increasing motivation can be solved by a modern educational system. The essence of the hybrid term education + entertainment is a systematic combination of education and entertainment. Entertainment of such education consists in curiosity and expressiveness of the form, in such education the educational component is included in the entertaining mode of the presented information. The purpose of such education is to deliver both knowledge and aesthetic pleasure. Edutainment is dynamic, flexible, practical, accessible, helps to meet the information and cognitive needs of the students. Edutainment has been the subject of numerous studies and sparks discussions about the appropriateness of the entertainment component in the educational process. However, modern practice shows the effectiveness of the basic provisions of edutainment, the tools of which include gaming, communication, creative, computer (information) technology, problem-based learning technology and others. Based on the purpose of the work – to determine the effectiveness of the introduction of edutainment in the educational process to increase the motivation of Generation Z – analyzed the requirements for teachers who work in the system and the principles of edutainment, the necessary educational conditions, experience in implementing edutainment on practice. Thus, mastering the education system demonstrates numerous advantages over traditional approaches to teaching Generation Z.
Study on deformation measurement method based on structured light point clouds

For the requirement of structural deformation measurement, a deformation measurement method based on structured light point clouds is proposed. A structured light measurement system is built, and the calibration process based on the assumption of the projector's reverse camera and with the help of the checkerboard calibration board is completed. The pattern projected by the projector is designed by using a four-step phase-shift technique assisted by Gray code. By combining with system parameters which have been calibrated, the three-dimensional reconstruction of the object surface is completed. A structural deformation measurement method based on the statistical analysis of the distance between point clouds is proposed, and the principles of three points cloud distance calculation methods including point-to-point, point-to-surface and surface-to-surface are analyzed. The feasibility and accuracy of the deformation measurement method based on the structured light point cloud proposed in this paper are verified via experiments. Experimental results show that this method can achieve out-plane high-precision displacement measurement of structures.
Research on the Development Trend of Environmental Water Treatment Industry

With the development of the times, China's demand for water resources is growing, but with the development of all walks of life, water resources have been seriously polluted, which has a certain impact on people's quality of life, will affect people's health. In order to improve this situation, it is necessary to treat water resources and complete environmental protection work. This paper first introduces the water treatment technology of environmental protection industry, introduces the working principle of water treatment technology, and studies the future development trend of environmental protection water treatment industry.
A personalized learning theory-based cyber-security training exercise

Abstract Current enterprises’ needs for skilled cyber-security (CS) professionals have prompted the development of diverse CS training programs and offerings. It has been noted that even though enterprise staff is now more aware of security threats, the number of successful attacks against companies has all but decreased over the years. Several criticisms were raised against current CS training offerings, which often made them inadequate, or unable to change participants’ behavior and security attitude. One of the main factors CS training programs are often not very effective is the lack of engagement or motivation of participants. This is often the result of training not being tailored to the needs or preferences of participants. In our previous work, we tackled this issue by developing a personalized learning theory-based model for developing CS training frameworks. In this work, we utilize the model to develop two CS training exercises: two game-based scenarios using the CS training video game Cyber CIEGE and one table-top team exercise. The exercises are later tested by involving a group of 12 students from the Norwegian Institute of Science and Technology (NTNU) Information Security master’s degree program. According to the results of the experiment and the feedback from the students, students felt more engaged during the exercises due to having been participants in their development process. This has in turn motivated them to continue using the training tools independently in their spare time. Further research is recommended to establish whether the training development model is adequate for different target groups, as well as better performing than other models when developing full-fledged training programs.
Cognitive and Communicative Axiology of Modern Virtual Pedagogical Communication: Notes for Discussion

The article introduces a logical analysis of the contemporary virtual pedagogy, which seems to have developed no basic trends so far. Teaching staff, education management, and, to a certain degree, parents keep failing to adapt to the rapid technological progress. This cognitive unpreparedness manifests itself as axiological modality. Most representatives of the senior generation involved in the academic process tend to demonstrate cautious or even negative attitude to virtualization. The author aims at introducing a more insightful attitude by devaluating critical or negative attitudes to virtual pedagogy and the role of social networks in it. The article discusses the factors and manifestations of this unwilling acceptance by schoolteachers and university staff. The main emphasis is not on the electronic tools per se, but on the virtual communication and academic discourse as objects of learning.
An overview of cybercrime law in South Africa

The COVID-19 pandemic has accelerated the uptake and use of information communication technologies and led to the digital transformation of different sectors of the economy. For South Africa, the COVID-19 pandemic struck at a time when the South African government had committed itself to leveraging technology for the benefit of its citizens, the private sector, and the public sector. By 2020, South Africa already had in place enabling policy and legal frameworks to assist with the regulation of activities taking place in cyberspace. The increase in broadband access has resulted in the increase of internet users. Due to increase in use of digital technologies and processing of personal data, there has been an increase in cyber-attacks and cybercrimes such as data breaches, identity theft and cyber fraud. Several South African based companies, state owned entities, government departments and citizens have been victims of cyber-attacks. To respond to the growing spectre of cybercrime, the South African government promulgated laws to supplement the existing legal framework. It also operationalised some of the laws which had been passed but had not yet come into operation. This paper gives a summary of the evolution of cybercrime laws in South Africa. It starts off by summarising how common law and the Electronic Communications and Transactions Act addressed cybercrime. The paper then proceeds to discuss the recently promulgated Cybercrimes Act, which is now the primary law criminalising certain online activities. It explores how the various provisions of the Cybercrimes Act address different types of cybercrimes known today. This discussion is aimed at demonstrating that South Africa is no longer a safe haven for cybercriminals.
DATA POISON DETECTION USING MACHINE LEARNING

Distributed machine learning (DML) can realize massive dataset training when no single node can work out the accurate results within an acceptable time. However, this will inevitably expose more potential targets to attackers compared with the non-distributed environment. In this paper, we classify DML into basic-DML and semi-DML. In basic-DML, the center server dispatches learning tasks to distributed machines and aggregates their learning results. While in semi-DML, the center server further devotes resources into dataset learning in addition to its duty in basic-DML. We firstly put forward a novel data poison detection scheme for basic-DML, which utilizes a cross-learning mechanism to find out the poisoned data. We prove that the proposed cross-learning mechanism would generate training loops, based on which a mathematical model is established to find the optimal number of training loops. Then, for semi-DML, we present an improved data poison detection scheme to provide better learning protection with the aid of the central resource. To efficiently utilize the system resources, an optimal resource allocation approach is developed. Simulation results show that the proposed scheme can significantly improve the accuracy of the final model by up to 20% for support vector machine and 60% for logistic regression in the basic-DML scenario. Moreover, in the semi-DML scenario, the improved data poison detection scheme with optimal resource allocation can decrease the wasted resources for 20-100%.
Subjective Decisions in Developing Augmented Intelligence

We describe the development of a machine learning-based object detection system for an augmented reality application. Our development is a proof of concept to successfully integrate the idea of augmented intelligence into human-operated industrial inspection settings that cannot be fully automated. While we offer some details on the design thinking approach and technical implementation of the development, our main focus will be on the processes that led to certain decisions during the development. Our analysis draws on concepts from decision-making, especially heuristics, and clusters our decisions using the concept of decision pyramids. In doing so, we analyse our decisions and decision paths and how they influenced each other. We discuss decision types we encountered, their importance and how they influenced the overall development outcome. Our discussion aims to make a contribution on the subjective nature of many decisions underpinning the development of intelligent augmentation.
A Tree Structure Approach to Reachability Analysis

Reachability analysis is a powerful tool when it comes to capturing the behaviour, thus verifying the safety, of autonomous systems. However, general-purpose methods, such as Hamilton-Jacobi approaches, suffer from the curse of dimensionality. In this paper, we mitigate this problem for systems of moderate dimension and we propose a new algorithm based on a tree structure approach with geometric pruning. The numerical examples will include a comparison with a standard finite-difference method for linear and nonlinear problems.
A cultural evolution with a modified selection function and adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e10671" altimg="si16.svg"><mml:mi>α</mml:mi></mml:math>-cognition procedure for numerical optimization

In recent years, several population-based evolutionary and swarm algorithms have been developed and used in the literature. This work introduces an improved Cultural Algorithm with a modified selection function and a dynamic α-cognition procedure to handle a variety of challenging numerical optimization problems. The modified selection function is used to support a balanced evolutionary search. A process that starts with a clearer exploration early in the search process and gradually begins to focus on exploitation towards the end of the search process. This work uses the elites of each knowledge source that are at a certain distance from each other. The dynamic α-cognition procedure assists in providing effective learning of individuals through preserving the diversity of the population during the evolution process. In this procedure, each individual is able to learn from the top α% individuals controlled by its knowledge source in the belief space, where the proportion of the affecting subpopulation (α) is adaptively modified during the evolution. The performance of the proposed work has been evaluated on the CEC’2010 and CEC’2013 benchmark suites developed for the special sessions on large-scale global optimization problems. An appropriate comparative study with the best results in the literature is presented. The results confirm how the merits of the improved Cultural Algorithm can achieve superior performance over other cutting-edge algorithms for these data sets.
Predicting the QOE of Video Streaming in Communication Networks

The Video streaming QoE (Quality of Experience) index consists of a series of qualitative factors that are difficult to measure. On the other hand, other Video streaming indices, such as the KPIs (Key Performance Indicators) are easily and physically measurable. &#x0D; &#x0D; This paper introduces a method to predict QoE based on KPIs measures in (wired or wireless) communication networks. Besides the possible academic interest, the method may practically be of interest to the network operator. Indeed, to ensure compliance with the SLA (Service Level Agreement) he would like to predict how the QoE can change as a consequence of a new network management alternative. &#x0D; &#x0D; To perform prediction, the problem is that the network operator first needs to know how the KPIs would change due to the alternative, and then find a way to derive (say mathematically) the QoE from the new KPIs. &#x0D; &#x0D; The contribution of this paper is a simulation/mathematical approach to solving the problem. First,&amp;nbsp; a simulation method is introduced to know how the KPIs would change as a consequence of the new alternative, and then a valid KPI/QoE mathematical relationship is introduced to derive the new QoE from the new KPIs.&#x0D; &#x0D; The paper is organized as follows: in Section 1 an introduction is given to the definition of QoE in Video streaming. In Section 2&amp;nbsp; the status of the art from the literature on the KPI/QoE mathematical models is dealt with, and a valid model is identified that derives the Video streaming QoE from the network KPIs. In Section 3, a simulated network is introduced to know how the KPIs would change as a consequence of a new network management alternative.&amp;nbsp; Finally, Section 4 uses the identified mathematical relationship to predict the Video streaming QoE from the measured KPIs. &#x0D; &#x0D; The considered application is an LTE (Long Term Evolution) network, but the approach can be extended to any communication network, wired or wireless from 3G onwards.
An improved data mining algorithm in cloud computing platform

In this paper, introduces the relevant knowledge of cloud computing and data mining, focuses on the collaborative filtering algorithm used in data mining, and analyzes the role of this algorithm in data mining, compares the advantages and disadvantages of this algorithm, Aiming at the disadvantages of collaborative filtering algorithm, this paper proposes an improved collaborative filtering algorithm. Through the experimental analysis, the improved collaborative filtering algorithm is superior to the traditional collaborative filtering algorithm in performance.
Social Networks and the Regulatory Function of Language: Internet Debates on Virtual Verbal Intelligence

The article describes the regulatory function of the language of Internet communication. The research featured the Internet discussion triggered by Olga Yurochkina's blog called The Little Things of Life. The users expressed their attitude to the spelling and punctuation violations that are typical of online communication. According to the hypothesis, special (philological) knowledge is opposed to the vernacular one. Consequently, educated users demand stricter control of conventional language rules. The author used comparative approach to develop a typology of opinions. The Internet discussion differed from similar offline debates in its causes, patterns, and results. The regulatory function was never mentioned directly but could be deciphered from the way the users formulated their question and the latent content of the statements they made.
Ideologeme in Political Communication: Interpersonal Aspect

The ideologeme is responsible for the category of interpersonality in the political discourse. The authors studied ideologemes in blogs published on the Yandex.Zen platform to identify their role in the discursive modeling of the social and personal opinions of the blogger, the recipient, and the political referents. The category of interpersonality revealed two models associated with the transformation of meaning. The first group was connected with recontextualization and included mocking, comparison, and referent replacement. The second group transformed the form and structure of the intentional component of the meaning by adding or replacing an element, as well as by demetaphorizing or secondary metaphorization.
A Fechner multiscale local descriptor for face recognition

Inspired by Fechner's law, we propose a Fechner multiscale local descriptor (FMLD) for feature extraction and face recognition. Fechner's law is a well-known law in psychology, which states that a human perception is proportional to the logarithm of the intensity of the corresponding significant differences physical quantity. FMLD uses the significant difference between pixels to simulate the pattern perception of human beings to the changes of surroundings. The first round of feature extraction is performed in two local domains of different sizes to capture the structural features of the facial images, resulting in four facial feature images. In the second round of feature extraction, two binary patterns are used to extract local features on the obtained magnitude and direction feature images, and four corresponding feature maps are output. Finally, all feature maps are fused to form an overall histogram feature. Different from the existing descriptors, the FMLD's magnitude and direction features are not isolated. They are derived from the "perceived intensity", thus there is a close relationship between them, which further facilitates the feature representation. In the experiments, we evaluated the performance of FMLD in multiple face databases and compared it with the leading edge approaches. The results show that the proposed FMLD performs well in recognizing images with illumination, pose, expression and occlusion changes. The results also indicate that the feature images produced by FMLD significantly improve the performance of convolutional neural network (CNN), and the combination of FMLD and CNN exhibits better performance than other advanced descriptors.
Network Discourse of Western and Eastern Philosophy

In the XXI century, network communication generates its own philosophical discourse of thinking. However, network discourse and network interaction appeared at the dawn of axial time, first, in the Eastern philosophy and, eventually, in the Western one. The authors used the information and communication approach, as well as the historical method, to trace the network discourse from traditional Chinese philosophy all the way through Leibnizianism and classical German philosophy. The research also covered the manifestations of triadic network thinking in the Western philosophy of the XX century, including the Russian philosophy of the new and modern history. It featured the Taoist and Confucian categories of trace, void, and dynamic stability, which were rediscovered by Postmodernism. When the network discourse took over the linear one, it opened up prospects for new, digital thinking. The obtained data develop the ontological aspects of network existence and facilitate the applied studies of network communications.
Quantum statistical effect induced through conditioned postprocessing procedures with unitary <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>t</mml:mi></mml:math> -designs

We propose a few-body quantum phenomenon, which manifests itself through stochastic state preparations and measurements followed by a conditioned postprocessing procedure. We show two experimental protocols to implement these phenomena with existing quantum computers, and examine their feasibility by using simulations. Our simulation results suggest that the experimental demonstration is feasible if we repeat the state preparations and measurements about thirty thousand times to three-qubit systems.
Review on the validity of China’s Standards of English Language Ability

The English and Chinese versions of China’s Standards of English Language Ability (CSE) were released in 2018. The appearance of CSE helps to solve the problems of different standards of English exams in China, the separation of teaching and assessment objectives, and the incoherence of teaching objectives at various stages. Before, during, and after the development of the CSE, many scholars have discussed the construction of the scale from theory to practice and contributed to the realization of the same standardization for English testing in China. This paper aims to review the relevant studies in order to provide insights and suggestions for the future research and application of the CSE from three aspects: 1) introducing the two major theoretical frameworks for validating language scales in China; 2) reviewing the studies on the validity of the CSE in general; and 3) reviewing the empirical studies on the validity of the sub-scales in the CSE, including listening, speaking, reading, writing, interpreting, translation, pragmatic competence. However, there is a lack of studies on the aspect of organizational competence.
Perilaku Pemustaka Dalam Penelusuran Informasi di Perpustakaan Politeknik Wilmar Bisnis Indonesia

Information seeking behavior occurs because of a person's perceived need for information. This need can be caused by pressure from outside, such as tasks that must be completed, or because of other factors. The purpose of this research is to find out the behavior of users in searching for information at the Wilmar Bisnis Indonesia Polytechnic library, which uses qualitative research methods. The information search technique applied at the Wilmar Bisnis Indonesia Polytechnic Library is an information search technique by asking directly to the librarian, through the collection shelves in the library, through the internet that has been provided by the library, through the OPAC (online public access catalog), through the collections provided by the library. provided by the library of the Wilmar Bisnis Indonesia Polytechnic to meet the information needs of users.&#x0D; Keywords: User Behavior, Information Search and Libraries