Reviewerly/exHarmony huggingface dataset:
The Process Approach In Developing Transprofessional Competences Of Master Students

Trends of transition to a new technological structure, digitalization of the economy, modernization and robotization of production, which led to changes in the labor market, place high demands on the results of education and professionalism of graduates. The employer does not need just a professional who has general and special narrow-profile competencies. The transprofessionals are becoming more and more employable in the labour market, they are capable of a comprehensive understanding and challenging professional problems, finding unique solutions based on transdisciplinary synthesis of knowledge under conditions of uncertainty. It is obvious that the preparation of a master-transprofessional as a specialist with an additional set and of the necessary competencies of high quality, involves different approaches to education. One of the tools of developing transprofessional competencies is the process approach. The main objectives of the study are to determine the characteristics of transprofessionalism and transprofessional competencies that are valuable in the labor market, and to prove the importance of the process approach in their development. In the process of research such methods as analysis, synthesis, modeling and participant observation were used.The scientific novelty of the research is the theoretical and methodological substantiation of transprofessional competences and process approach as a tool of their development of master’s degree students-designers; determining the set of transprofessional competencies and conditions of the process approach application for their development.
Changes in Body Representation of the Human Upper Limb as a Function of Movement and Visual Hand Position

Several disease presentations are linked to a mismatch between the real body and the body’s internal representation of itself. In order to develop effective rehabilitation therapies, it is necessary to understand the mechanisms underlying changes in body representation. In this study, we focused on changes in body representation of the upper limb as a large part of the body and investigated the conditions under which such changes occur. Participants were presented four conditions which differentially affected their sense of ownership and agency, including a movement condition related to their sense of agency, and a visual hand information condition related to the sense of ownership. In the experiment, participants were asked to move their upper limb forward and backward on a manipulandum. Results of the study showed that visual hand position affected changes in body representation relevant to both conscious and unconscious body parts. In addition, changes in the representation of the unconscious body part occurred with, and were dependent on, active movement.
Trajectory Tracking and Control Algorithm for Precision Parallel Robot

When the state of the robot reaches the smooth sliding plane, the current algorithm will generate high-frequency chattering, resulting in larger tracking error and longer response time. To solve these problems, we have proposed a trajectory tracking and control algorithm based on exponential reaching rate. The coordinate system of parallel robot system is established, and the kinetic energy and potential energy of the system are calculated. The results are brought into the Lagarnge equation to find the dynamic model of the system. The power amplifier, electro-hydraulic servo valve, hydraulic cylinder and its load are taken as generalized controlled objects, and the hydraulic servo system model is established. The exponential approaching rate is introduced to design the dynamics model and the trajectory tracking sliding controller of the hydraulic servo system model. By adjusting the upper and lower bounds of the external disturbance of the controller, the control rate is changed, the buffeting occurrence is reduced, and the response time is shortened, to realize the low error tracking of any trajectory of the robot. The experimental results show that the trajectory of the robot can be adjusted quickly and the desired trajectory is better tracked by the end.
Evaluation of soil pollution sources using multivariate analysis combined with geostatistical methods in Zanjan Basin, Iran

The increase of heavy metals concentration in soils is potentially threatening the environment and human health. In this paper, multivariate analysis methods such as Positive Matrix Factorization (PMF), Principal Component Analysis (PCA) and Cluster Analysis (CA) combined with geostatistical method were employed to identify the potential sources of soil pollution. A collection of 103 samples were obtained from surface soils of different types of lithology and landuse in Zanjan Basin, Iran. The concentration of As, Bi, Cd, Co, Cr, Cu, Pb, Fe, Mo, Ni, Zn, Se and Hg beside of physical and chemical properties were measured. The results showed a strong effect of anthropogenic sources on the enrichment of heavy metals especially, Zn, Pb, Cd, As and Cu in soils. From the results of PMF and PCA, the four-factor model showed the optimized solution for this study. One of the factors is related to the background concentration, another one is associated with agricultural activities and the other two are associated with industrial activities and industrial waste. The PMF method in comparison with the other common methods in multivariate analysis presents physically acceptable and more reasonable results because of non-negative condition for factors and weighting of the variables.
Training In Business Design Automation Reaching The Level Of Digital Society Needs

The concept of training specialists in the field of vocational pedagogy is changing with the advent of the digital economy. The digital society needs vocational education teachers who are ready to create pedagogical conditions for training future specialists in the field of economics and management. These skills are impossible without familiarity with the principles of business design automation. Taking into account that the use of automated information systems (corporate information systems) in the field of enterprise management becomes a rule, and the presence in such developments of the economic circuit (including the simulation module) is a necessity, there is a question of interaction between the quality of training of future teachers and such systems (in order to transfer practical experience). In the article the authors consider the aspects of preparation for work with applications connected with business plans. At the analytical level the problem statement that includes search activity in the field of economy is considered. At the pedagogical level – pedagogical conditions of realization of high-quality preparation for work with business plans are considered. The approaches allowing to realize the concept of such training are defined, references to similar researches are given and analogies in the basic search methods are carried out.
Fireworks algorithm based on dynamic search and tournament selection

The traditional fireworks algorithm (FWA) is easy to fall into the local extremum and the accuracy of the solution is not high as that the explosion amplitudes and the selection mechanism are inefficient. A FWA based on dynamic search and tournament selection is proposed. The algorithm redefines the original explosion amplitudes, introducing the concept of minimum explosion amplitudes. In order to make the explosion amplitudes calculated dynamically, the number of iterations and the maximum number of iterations are introduced into the updating formula. Meanwhile, without changing the physical meaning of the original algorithm, the formula preserves the fitness value. Updating the new explosion amplitudes by non-linear method, thereby, it achieves the goal of the global search in the early phases and the local search in the late part phases. At the same time, the tournament selection mechanism is used to select some excellent individuals from the population. And then it selects the best one to enter the offspring population until the new population size reaches the population size. It makes the result closer to the desired results and improves the accuracy of the solution. The proposed algorithm balances the global and local search abilities, making the calculation results more accurate.
Day Re-construction: Understanding How College Students Manage Their Time Through Self-monitoring

With a plethora of possibilities for new social experiences, activities, and other prospects, college students may find it challenging to balance their time. To facilitate their awareness of and reflection upon time expenditures regarding the three pillars of a balanced life: work, personal maintenance and leisure. We designed and evaluated a web app called LifeLogger. This application harnesses semi-automated, self-tracking, and visualization features to support awareness and reflection of time use. We invited 13 participants to interact with the prototype for a week, and followed up with semi-structured interviews to understand their experiences of the application. We find that LifeLogger increases participants awareness and encourages self-reflection on time use, which could facilitate participants in comprehend- ing their time expenditures. We conclude by discussing potential design strategies for time management.
Object Contour Tracking Algorithm of Infrared Image Under Complex Background

Traditional image contour tracking algorithm has low tracking accuracy. To solve this problem, an object contour tracking algorithm based on local significant edge features in complex background is proposed. In the algorithm, the projective invariant is firstly introduced, to construct the geometric information descriptor between the edge positions of the infrared image, and set up the histogram of the feature number of each target contour. The geometric similarity between the features is measured by the pasteurized coefficient, the edge features of the neighbourhood around the object contour are established, and the object contour with significant features in the edge of the image is searched. Combining Shape-context operator with edge feature, the feature description vector can be formed, and Euclidean distance is defined to track measurement function. Using this function, the selected object contour is tracked preliminarily. The random consistency checking algorithm is used to eliminate the false tracking feature points and obtain the best tracking value of the object contour, thus the infrared image’s object contour tracking is carried out in the complex background. Experimental simulation shows that the proposed algorithm has high tracking accuracy and effectively improves the quality of infrared image analysis.
P19 Thematic analysis of players’ reviews of virtual reality exergames

<h3>Background</h3> Physical activity is associated with a variety of physical and psychosocial health benefits, but levels of moderate-to-vigorous intensity physical activity remain low worldwide. The application of virtual reality (VR) gaming systems involving movement (VR exergames) to promote physical activity is a promising avenue for engaging people in more physical activity. The aim of this study was to synthesise public reviews of popular VR exergames to identify common features that players like or disliked in order to inform future VR exergame design. <h3>Methods</h3> We conducted a thematic analysis of 465 reviews of the 31 most popular exergames sold in the top three VR marketplaces, Steam, Viveport and Oculus. We identified the most common themes using thematic analysis. <h3>Results</h3> The reviews were mixed, reporting a great variety of expectations, preferences and gaming experiences. Players preferred games that were highly realistic (e.g. closely simulate real-world sport), intuitive (in terms of the body movement and controls), and games that provided step-by-step increases in skill acquisition. Music was reported as greatly enhancing the experience. Favoured were social aspects with multiplayer options for company with friends or help from experienced players. Reviewers consistently reported that they felt VR exergaming was providing a high level of exertion equivalent to real world exercise, and the immersion/enjoyment was a welcome distraction from the exertion. There were three themes in negative reviews: the first was around bugs that rendered games frustrating. The quality of graphics had a particularly strong impact on perceived enjoyment. Reviewers disliked when games had overly complex controls and display functions that evoke motion sickness. <h3>Conclusions</h3> VR exergames prove a stimulating way to engage in physical activity and a way to distract from negative perceptions of performing exercise. Future research calls for designing games that will stimulate the players in a realistic, intuitive, gradual step-wise way while meeting players’ needs.
Sentence Compression via DC Programming Approach

Sentence compression is an important problem in natural language processing. In this paper, we firstly establish a new sentence compression model based on the probability model and the parse tree model. Our sentence compression model is equivalent to an integer linear program (ILP) which can both guarantee the syntax correctness of the compression and save the main meaning. We propose using a DC (Difference of convex) programming approach (DCA) for finding local optimal solution of our model. Combing DCA with a parallel-branch-and-bound framework, we can find global optimal solution. Numerical results demonstrate the good quality of our sentence compression model and the excellent performance of our proposed solution algorithm.
Dialogue-Based Information Retrieval

Conversational search presents opportunities to support users in their search activities to improve the effectiveness and efficiency of search while reducing cognitive load. Since conversation is a natural means of human information inquiry, framing the information retrieval process within a dialogue is expected to make the search process more natural for the user, in terms of query entry, interaction to locate relevant content, and engaging with the system output. My PhD Research project seeks to make progress toward realizing the vision of conversational search systems.
People bound: a history of the anthropomorphic bibliometaphor

The article takes a close look at the history of centuries-long transformations of the ‘anthropomorphic’ metaphor, which likens a book to a human being. The analogy between book and man is drawn by a number of philosophical ideas, scholarly theories, and creative practices. Incidental varieties of the anthropomorphic metaphor highlight diverse semantic and functional aspects of the book’s operation in culture. It is those aspects that the author points out and examines in order to prove that the anthropomorphic metaphor plays a fundamental and dominant role in book culture. The book in a human form had its interpretation in the discourse of Soviet activism and was further developed in modern times. It is typified by all-out visualization of objects. Describing the metaphor’s evolution from the Middle Ages to the present day, the author follows the process of books becoming more human, only to draw a conclusion that the opposite is increasingly true, and has already prompted the idea that ‘flesh is paper’ and the emergence of a ‘face book’.
QUALITY MANAGEMENT OF THE EDUCATIONAL PROCESS ON THE BASIS OF THE ANALYSIS OF TEST TASKS BY USING ARTIFICIAL INTELLIGENCE

Introduction. The use of information and communication technologies allows the teacher to update the content of training. The success of the educational process is largely determined by the ICT competence and ICT literacy of the teacher. Data mining based on artificial neural networks can be used as one of the elements of information and communication technologies. The main direction of application of tests is to measure the level of knowledge of students. A large amount of accumulated test results with proper processing can provide the teacher with additional (hidden) data. The use of an artificial neural network for the analysis of test results makes it possible to expand the direction of the tests. Methods. The theoretical basis of the study is based on a complex of scientific statements of domestic and foreign scientists in the field of education and artificial intelligence. Practical research methods are based on an experiment in creating a test in computer science, testing students and accumulating data, as well as their processing simulated artificial neural network. Results. The article describes the process of analyzing the results of research using the SPSS STATISTICA 20 programs. The search for hidden patterns of the test was carried out, the reliability of the results obtained was verified. Discussion. There was suggested the possibility of further application of the results obtained in the educational process. The results obtained can be used to search for and correct difficult or easy test items, and to replace failed test tasks. The teacher has the opportunity to redistribute the time resource for the study of difficult digestible topics, due to easily digestible. The idea of an integrated approach to the use of artificial neural networks in education is proposed.
High-dimensional one-way quantum processing enabled by optical d-level cluster states

By introducing and modifying two-photon hyper-entangled states in the time-frequency domain using an on-chip micro-cavity, we succeed in generating high-dimensional cluster states, demonstrate d-level measurement-based quantum processing and show the state’s higher noise tolerance.
Analysis of threats on a VoIP based PBX honeypot

Many organisations are moving over from legacy telecommunications to Voice over IP (VoIP), enabling greater flexibility, resilience and an overall cost reduction. Session Initiated Protocol (SIP) is now considered to be the main VoIP protocol in the business–to-business market, but the correct implementation and configuration is not always well-understood. The failure to configure SIP systems correctly has led to significant fraud exploiting a range of vulnerabilities and billions of dollars every year being stolen from companies of all sizes through PBX Hacking via the medium of Toll Fraud. Previous research into this area is now dated but suggests a fast-changing approach by the attackers. Industry organisations such as the Communications Fraud Control Association (CFCA) acknowledge that this is a fast-growing problem. To quantify the size of the current problem, a Honeypot experiment was undertaken using a popular phone system used by businesses. The Honeypot ran for 10 days and recorded just under 19 million SIP messages. This research has identified the rate of attack is approximately 30 times more aggressive than previous reported research.
A Brand-New Definition of Management under the Rule of Robots

Do you want your fate to be determined by a person who moves with the feeling, probably makes irrational decisions or is self-interested; or by an artificial intelligence that will always give priority to the common interests of the stakeholders in their decisions? The artificial intelligence applications developed to manifest human-like behaviours are expected to reach above the human level. It is only a matter of time. Therefore, the definition of management will eventually evolve. This paper discusses and suggests the elements that are required to be included in the new definition of management. Since the definition of future management is a challenging and disputed task, this paper aims to pave the way for a perfect definition of management that belongs to the age of artificial intelligence. As a result, in the perspective of evolution of human consciousness and emergence of management, and also considering the continuation of the evolution in inorganic domain, a new definition of management was suggested.
A Unified Model to Manage Requirement Engineering for Global Software Development

Change is an unavoidable activity during software development. Requirements can be changed due to many reasons like the demands of customers, organizational needs and scalability. It is crucial to manage these changes on time to achieve successful software. However, requirement change management (RCM) is not a straightforward activity especially in case of global software development (GSD) due to distributed team structure and geographical challenges. Moreover, no collocated RCM model or organizational structure is currently available to do GSD. This paper proposes a novel unified model to manage requirement engineering for GSD. The research is validated using a survey. The results are found encouraging and it is anticipated that the proposed research will help software companies to solve the changing requirements problems in GSD environment to complete projects successfully.
Framework of Evaluating Business Partner Recommendation Beyond Industry Types Toward Virtual Corporation

We propose a framework to evaluate a recommendation of unknown partners in an inter-business market by an artificial intelligence (AI) and a simulation. The reason is that unknown partner recommendation by AI such as a data mining or machine learning is difficult to evaluate because it is not possible to know correct partners in the real world. The framework is a flow of (1) proposing a method of recommending unknown business partners, (2) installing the recommendation method as AI into a firm agent, and (3) evaluating a recommended business partner by comparing performance between a recommendation method (machine learning, etc.) and an agent-based modeling simulation (ABMs). Since this framework can handle experiments assuming future situations, managers in a firm are possible to consider and judge recommendation methods and recommended partners according to virtual market conditions.
표기 단위로서의 형태소

The unit of writing of the Korean language as defined in the Korean spelling system is a morpheme. If a single morpheme can be written as it sounds and divided into more than one form, it is the principle of notation to write down ‘wonhyeong(the original form)’. However, it is not enough to set up a morpheme as a unit of notation. For example, suffix ‘-들이(deuli)’ was composed of ‘들 (deul)’ and ‘이(i)’. This means that there is a principle of notation to reveal the connection with the nouns. This can be called the principle of notation according to the ‘wonhyeong(the original form)’. If only the morpheme is recognized as a unit of notation, the suffix ‘-박이(baki), -살이(sali), -잡이(jabi)’ becomes difficult to explain.To solve these problems, it is necessary to set ‘wonhyeong(the original form)’ in units of notation in addition to the morpheme. From this point of view, the suffix ‘-박이(baki), -살이(sali), -잡이 (jabi)’ describes the purpose of maintaining the consistency of the notation with the verb ‘박-(bak-), 살-(sal-), 잡-(jab-)’. In other words, if it is necessary to maintain the consistency of the marking, it is established that ‘wonhyeong(the original form)’, not the morpheme, can act as the reference for the notation. From this point of view, the principle of marking consistency in notation is also the basic principle of Hangeul orthography, considering the original form.