Reviewerly/exHarmony huggingface dataset:
Description Logics and Specialization for Structured BPMN

The literature contains arguments for the benefits of representing and reasoning with BPMN processes in (OWL) ontologies, but these proposals are not able to reason about their dynamics. We introduce a new Description Logic, sBPMprocessDL, to represent the behavioral semantics of (block) structured BPMN. It supports reasoning about process concepts based on their execution traces. Starting from the traditional notion of subsumption in Description Logics (including sBPMprocessDL), we further investigate the notions of specialization and inheritance, as a way to help build and abbreviate large libraries of processes in an ontology, which are needed in many applications. We also provide formal evidence for the intuition that features of structured BPMN diagrams such as AND-gates and sub-processes can provide substantial benefits for their succinctness. The same can be true when moving from a structured to an equivalent unstructured version.
Impact of Considering and Neglecting States on Descent-to-Landing Navigation

This paper develops a novel square-root formulation of the consider/neglect Kalman filter for navigation applications. The proposed filter partitions system parameters into three distinct categories: those to be estimated by the filter, those whose contribution to the system can be considered without explicitly estimating them, and those with sufficiently low effect on the system such that their contribution can be neglected altogether. Discussion on appropriate selection of consider and neglect parameters is provided with specific attention given to descent-to-landing navigation. Monte Carlo simulations and analysis are performed to assess the performance of the square-root consider/neglect filter.
Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies

The present study explores the methods of geodata visualization extracted from the metadata of scientific publications for use in scientific research using the scientific heritage of Georgy Gause. It is based on the results of case studies to assess the possibilities of digital information resources, metadata extraction from digital resources, and using methods for their quantitative processing. We have studied methods of extracting metadata from digital information systems that do not have export tools. Our concentration is on methods and technologies of geodata extraction, and their subsequent visualization are considered. They are considered and applied methods of a dynamic clustering of geodata markers. Based on geodata visualization, we interpreter the results. The possibility of using extracted metadata in scientific visualization systems that support standard formats is evaluated.
Design, Modeling, and Implementation of the COPROLINE (Collaborative Project Online) System

This chapter attempts to provide teachers with an easy way to create and administer virtual spaces to create online collaborative educational content. This tool will generate and edit educational content that provides better adaptation of courses and activities with a collaborative teaching and learning style. The socio-constructivist approach aims at concentrating the activities on the learners and facilitating the synchronous and asynchronous collaboration between them. At this level, it is therefore necessary to find a method that favors all types of collaborative activities.
The Influence of Health Promotion Media With Bimanesse Local Language on Parents and Their Families Understanding about Characteristic of Drug User

Background: The consumption of narcotics, psychotropic and addictive substances are increased among teenagers in Bima. Efforts to prevent and suppress drug trafficking and their abuse need to be implemented continuously through the process of education and information sharing among families who has teenagers. The use of local wisdom in health promotion can be done by using media with local language. Purpose: This study aims to determine the effect of delivering information about the characteristics of drug users using the local Bima Language booklet towards family knowledge. Methods: This study was conducted by using post-test only design that use control group with 30 respondents for each group. The data was obtained by observation and interview.The data analysis used a Nonparametric Test with the Mann-Whitney test. Results: The results showed that there was no difference in understanding between respondents who read booklets in local Bima language and respondents who read booklets in Indonesian language with p = 0.058. Conclusion: The use of the Booklet in local Bima language has the same effect as the use of booklets in Indonesian language
PROBLEMS AND STATUS OF PHILOSOPHICAL ANTHROPOLOGY OF SCIENCE IN THE STRUCTURE OF PHILOSOPHY OF SCIENCE

The article proposes a variant of the structure of philosophy of science: the main branches of philosophy of science are identified by analogy with the structure of philosophy. Such an approach allows covering a wide range of key themes and issues of philosophy of science. The paper reveals interesting aspects of science considered through the lenses of human activity to produce scientific knowledge. The author examines the basic problems and conceptions within philosophical anthropology of science: the problem of the scientist’s motivation, formation and importance of “personal knowledge”, specificity of the scientist’s worldview and the scientist’s personality types.
Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints

Feature representation learning is a research focus in domain adaptation. Recently, due to the fast training speed, the marginalized Denoising Autoencoder (mDA) as a standing deep learning model has been widely utilized for feature representation learning. However, the training of mDA suffers from the lack of nonlinear relationship and does not explicitly consider the distribution discrepancy between domains. To address these problems, this paper proposes a novel method for feature representation learning, namely Nonlinear cross-domain Feature learning based Dual Constraints (NFDC), which consists of kernelization and dual constraints. Firstly, we introduce kernelization to effectively extract nonlinear relationship in feature representation learning. Secondly, we design dual constraints including Maximum Mean Discrepancy (MMD) and Manifold Regularization (MR) in order to minimize distribution discrepancy during the training process. Experimental results show that our approach is superior to several state-of-the-art methods in domain adaptation tasks.
METHODOLOGY TO TEACH THE ENGLISH-LANGUAGE PROFESSIONAL TERMINOLOGY TO NON-LINGUISTIC STUDENTS

Globalization of world economy and internationalization of higher education set new requirements for technical students’ training, but graduates’ foreign-language competence still does not satisfy the demands of the labour market. The article proposes the author’s original methodology to teach the English-language professional terminology on the basis of the interdisciplinary approach, project-based and student-centred methods to master’s degree students of technical specialities. For the first time, the paper proposes the methodology, which includes identifying the peculiarities of master’s degree students’ highly professional activity and its interrelation with the discipline “Foreign Language” determining the optimal sequence of educational material presentation. Under such an approach, educational process is focused on the student’s needs and includes project-based autonomous activity.
Multi-hop Interactive Cross-Modal Retrieval

Conventional representation learning based cross-modal retrieval approaches always represent the sentence with a global embedding feature, which easily neglects the local correlations between objects in the image and phrases in the sentence. In this paper, we present a novel Multi-hop Interactive Cross-modal Retrieval Model (MICRM), which interactively exploits the local correlations between images and words. We design a multi-hop interactive module to infer the high-order relevance between the image and the sentence. Experimental results on two benchmark datasets, MS-COCO and Flickr30K, demonstrate that our multi-hop interactive model performs significantly better than several competitive cross-modal retrieval methods.
A. V. SAMONOV’S “PHANTASIES” (BASED ON A. SAINT-EXUPÉRY’S NOVELLA “THE LITTLE PRINCE”): SPECIFIC FEATURES OF PIANO CYCLE

The article analyses the “Phantasies” (based on A. Saint-Exupéry’s novella “The Little Prince”) - one of the key works of the pianist, composer and teacher, Professor of Moscow Conservatory Anatoly Vasilievich Samonov (1931-2013). For the first time in domestic musicology, the paper describes the history of this composition, reveals the author’s intention and identifies the features typical of romantic music. The researcher’s attention is focused on the problem of the cycle compositional integrity, which is achieved by different means, mostly by using leitmotif.
Prototyping and Rapid Development of IoT Systems in Context of Edge Computing

Currently, Cloud, IoT, Dew, Edge and touch networks of “things” are allocated as part of the program system. Data at the touch network level is associated with physical objects. At the Edge level, data is separated from objects to form a Digital Twin representation of their state, properties, and behavior with minimal latency. Copies of Digital Twin “things” are stored and used at different levels, but must reflect their current state. Interaction with “things” in IoT, data transport between sensor networks through their boundary nodes is considered. For Edge computing research it is proposed to create physical and virtual models of fragments of touch networks, their boundary nodes, processing of data and organization of access of devices as part of “things” to remote IoT resources. The paper shows how to build a virtual device model in a Proteus environment and assess adequacy versus a physical model. Implemented a piece of wired sensor network with TCP/IP protocol based on open platforms.
Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data

Since the target data are high-dimensional, limited and class-unbalanced distribution in most real-world classification, most conventional classification methods can hardly achieve good classification results on these data. To explore an effective solution, this paper proposes the Siamese Parallel Fully-connected Neural Network (SPFCNN) as a binary classifier and uses the SMOTE method to deal with the problem of class-unbalanced data distribution. Given that classified cases naturally come with costs, cost-sensitive learning is used to improve the performance of the proposed SPFCNN. An extensive computational study is also performed on cost-sensitive SPFCNN, and the results show that the performance of the proposed approach is better than that of the comparison methods.
Crucial Directions of the Development of Continuing Education in Russia. Aspects of Quality

Abstract The development of the lifelong education system is one of the most important areas of educational activity, which implies the continuity of processes in the systems of preschool, general secondary, primary, secondary, higher, postgraduate and additional professional education. The effectiveness and the possibility of educational activities are determined by the interconnections between the various stages of the innovation cycle, producers and consumers of services; firms, market, government and other social partners. Continuing education can be seen as part of a lifelong learning concept. Continuing education is not just a pedagogical system, characterized by certain structural features, functional relationships and teaching technologies, but also a specific component of the whole society. It becomes continuous, connected with life, and not just final, prescribed to a person during his studies at school, secondary school or university. The development of the lifelong education system allows creating all the necessary conditions to ensure the response of the education system to the dynamically changing needs of the individual, society, and the economy. In addition, many scientists note that the continuing education system plays an important role in the formation of personnel for the innovative development of Russian regions. The development of the lifelong education system is aimed at supporting the competent development of the individual, at implementing the concept of developing education. A competency-based approach to education creates all the necessary conditions for the diverse development of the individual, the formation of competencies and personal qualities that allow effective action in various life situations. The concept of lifelong education is based on the principles of continuity, flexibility, fast dynamics associated with changing needs in the labor market, for the implementation of education “not FOR life, but THROUGH life”. The article is devoted to the problem of implementation of continuing education in Russia and its impact on the quality of education in our country.
Modified extreme learning machine based motion control of robotic manipulators

Abstract Precise trajectory tracking is a difficult task due to partially known and unknown dynamics and the disturbances present in the system. For improving the tracking performance of the robotic manipulator, this work proposes a novel PSO optimized kernel based Extreme Learning Machine (PSO-KELM) learning algorithm in which PSO is used to get the optimal values of the free kernel-parameters in KELM. The simulation results represent the good generalized performance and PSO-KELM outperforms the KELM and ELM based control techniques for the manipulator trajectory tracking. Comparative analysis of the proposed control schemes have been done with NN and SVM based controllers and various ELM based variants for the trajectory tracking problem in robotic manipulator.
An Intelligent Journey to Machine Learning Applications in Component-Based Software Engineering

The automation of software development process is a leading edge for the Software 2.0 trend. Machine learning with software engineering has been used in a variety of domains and in all the phases of the software development life cycle process. The journey of machine learning in software engineering lays down the time lines and milestones to be achieved in the intelligent automation process of software development. From designing to testing and security, machine learning has automated almost all the phases of software development life cycle with supervised and unsupervised learning and the future holds the panoramic view of automated intelligence where the machine learns by itself without any explicit programming. The goal of the paper is to provide useful insight into the significant arena of software intelligence andlay down the potential ground for various research analysis in the software engineering processes.
Do Contrast Measures Correlate? A Pilot Investigation

Different issues related to contrast has been investigated in image processing and computer vision. This has made introducing an accurate contrast measure an important issue. While over the years different contrast measures have been introduced, little attention has been paid to the relationship of these different contrast measures with each other. By applying nine different contrast measures on a large-scale database of images (the Caltech 256 database) we aim to investigate how these contrast measures correlate with each other. This study can provide a better understanding of how different contrast measures perform and to what parameters (content, colorfulness, etc.) they are more sensitive towards.
Bridging the Two Plans in the Semantics for Relevant Logic

This paper considers how the two plans in the semantics for relevant logic are related to each other. The so-called American plan, classical-style four-valued semantics, is intuitive, but weak. The so-called Australian plan, two-valued frame semantics, is very powerful, but the semantic devices employed need some explanation. Examining R. Routley’s 1984 paper ‘American plan completed,’ this paper argues that the American plan provides an explanatory and ontological basis for the Australian plan, and that the latter is just a developed form of the former.
The role of Indonesian National Cyber Bureau in monitoring mining business companies

Abstract New innovations in computer systems were created aiming to provide convenience for its users, but unfortunately they are often followed by threats that surround them. The Company’s computer security system can not control the security of every company data. Because information technology attacks have impact on consumer information management and corporate marketing activities, it is necessary to have an institution or business supervisory body for mining company to deal with corporate cybercrime. Data collection uses some methods including observation and document analysis. The data sources used are primary, secondary and tertiary. There are four stages of data analysis, namely data collection, processing, verification, and conclusions. The results indicated that data security of mining companies is critically required to protect company assets such as natural and human resources from the threats of internet criminals. The role of Indonesian National Cyber Bureau is to prevent the occurrence of crimes on the internet through the cycle of supervision formining business, and mining companies should have a robust computer software system.
Developing a Hybrid Network Architecture for Deep Convolutional Neural Networks

Deep learning is a powerful method, which can provide good solutions in many problems such as image recognition, speech recognition and natural language processing. In recent years researchers have exerted effort in the deep learning area in order to provide new network architectures and advanced results. VGG-16 and GoogleNet architectures which achieve highly accuracies in object recognition competition ILSVRC, have been based on to the convolution operation. In this work, we proposed an architecture which includes VGG-16 network convolution blocks and Inception blocks in GoogleNet architecture. The proposed architecture was evaluated on CIFAR-10 and MNIST datasets. The proposed architecture achieved results as close as results in the literature which have high accuracies. The architecture was created by Keras API and TensorFlow backends.
Hedonistic Approach in the Musical-Rhythmic Competence of Future Music and Choreography Teachers

The article is dedicated to the analysis of hedonistic approach to music and rhythm competence of prospective Music and Choreography teachers. As hedonism became a focus of scholars’ active attention during the recent decade, hedonistic approach is being put forward in the article as the key one in music and rhythm competence of prospective Music and Choreography teachers. Under the current circumstances of the society’s development, the psychological follow-up of prospective Music and Choreography teachers is an important goal to attain for our country. Each personality requires individual approach; help in revealing his/her specific features; in shaping a wholesome, harmonious personality. The goal under consideration presupposes setting complicated issues for teachers and psychologists; these issues require structural, systemic and subsequent solution. The personality’s subjective welfare is not only an indicator of his/her psychic (emotional) stability, the transient (dis)adaptation states and pressure compliance resources, but also has crucial significance for perfecting the processes of a person’s overall and academic socialisation. This phenomenon requires conducting applied research as well as solving other issues. Thus, hedonistic approach to music and rhythm competence of prospective Music and Choreography teachers presupposes studying and explication. Applying a hedonistic approach to music-rhythmic competence, under appropriate pedagogical conditions, is transformed into a kind of educational and musical training, which is based on a person's need for pleasure, enjoyment and relying on a love of music education. In this way, the hedonistic approach in music education gives the process of teaching future music teachers and choreography a special appeal.Hedonistic approach to music and rhythm competence of prospective Music and Choreography teachers under the corresponding academic circumstances is being rearranged into a distinctive teaching and music training based on the prospective Music and Choreography teacher’s demand for enjoyment and delight relying on the love of music education.
Consistency, Completeness, and Classicality

We study the expansion of the four-valued Belnap–Dunn logic by a pair of constants 0 and 1 which express respectively the weakest inconsistent proposition and the strongest complete proposition. We then further expand this logic by the intuitionistic implication and use this expansion to introduce a logic which is a conservative extension of both classical and intuitionistic logic. The key idea behind this way of combining classical and intuitionistic logic is that classical negation is nothing but the De Morgan negation of the Belnap–Dunn logic restricted to classical contexts, i.e. contexts in which completeness and consistency is assumed. Finally, sequent calculi are provided for the logics introduced in the paper.
Mathematical Model of Optimal Management of Staff Development in the Communications Industry

The problem of staff management in the communications industry is considered, as at the moment this area is one of the fundamental for the development of the country and regions, in particular. The optimization mathematical model constructed on the basis of genetic algorithms, generates an optimal composition of activities for management staff. This set of measures is considered as management decisions, the implementation of which increases the efficiency of human resources and reduces the risks typical for staff policy. These parameters are used as particular criteria for optimal solutions in the implementation of multi-criteria optimization using the apparatus of genetic algorithms.
Los Entornos Virtuales de Enseñanza-Aprendizaje en el desarrollo de la competencia comunicativa en idioma inglés

The identification of professional competences allows the setting of performance expectations and development plans. In the professional training system in recent years, curricula have been designed focusing on competencies, based on the social request expected from professionals in training or already in practice, thelatter subjected to a system of continuous postgraduate training, due to the need to adapt themselves to the changing contexts which demand new knowledge, skills and values, to successfully fulfill their duties. Considering the growth of the technological infrastructure in the country in all areas, and taking into accountlabor and territorial factors, the groups of teachers in charge of the professionals´ training have faced the challenge of using Virtual Teaching-Learning Environments to favor the development of professional competencies, among them, thecommunicative competence in the English language. This paper aims at presenting a Commercial English Online Course for developing communicative competence in the English language of foreign trade professionals from CIMEX Enterprise Group, which is based on the use of such environments. The results ofthe course implementation are also given in this work.