Reviewerly/exHarmony huggingface dataset:
APPLICATION OF GMDH NEURAL NETWORKS TO DETECT CHANGES IN THE OPERATION CONDITIONS OF THE WATER SUPPLY PUMPING STATION CAUSED BY THE INFLUENCE OF SEASONAL FACTORS

Purpose. Development of a mechanism identification of changes in the actual operation conditions of the water supply facility depending on the season. Methodology. Methods of intellectual analysis of profiles of mode indicators were used to identify regularities in the formation of the operation mode of the facility. The mathematical apparatus of pattern recognition algorithm with training was used to classify the profiles of mode indicators. Methods of self-organization of models of complex systems were used for structural and parametric identification of the classifier model. Results. The necessity of the analysis of the characteristics of operation mode of the pumping station of water supply, obtained from the monitoring system, to identify regularities in the formation of water supply was substantiated. The daily graph of water consumption from the water supply network was used as a mode indicator of the water supply process. Indicators of water supply volumes and graph unevenness were used to describe the water supply graph. The expediency of application of self-organization methods for solving the problem of classification and construction of the classifier model was substantiated. Structural and parametric identification of the classifier model for daily water consumption graphs was performed using GMDH Neural Networks. The search for the optimal model was performed in three classes of neural networks. Better neural network structure was chosen on the basis of criterion of regularity. The K-block cross-validation strategy was used to test the models. The results of the verification of the classifier model showed the high quality of the classification. Originality. A method for identifying changes in the operation conditions of the water supply facility due to the influence of seasonal factors, based on the usage of the classifier of profiles of daily water consumption graphs from the water supply network, was proposed. Practical value. The constructed model of the classifier allows defining of belonging of a profile of the daily water consumption graph, received from monitoring system of the water supply mode, to one of typical classes. The fact of class change indicates a change in the actual operation conditions of the water supply facility. Conclusions. Analysis of daily graphs of water consumption using the pattern recognition algorithm makes it possible to establish the change in the actual operation conditions of the water supply facility caused by the influence of seasonal factors. The usage of neural networks of GMDH makes it possible to perform automatically structural and parametric identification of the classifier model. Application of the offered principles is a basis of effective planning of operation modes of pumping station of water supply. References 16, tables 3.
Deriving Architectural Responsibilities from Textual Requirements

Natural language is widely used to write software requirements. Generally, software designers start with textual requirements and realize them into a first architectural design. A common problem in this transition is the conceptual gap between the requirements space and the software architecture space. To assist designers in the task, we propose an AI-based approach for deriving high-level architecture descriptions expressed as Use Case Maps (UCMs) from textual requirements. Our approach consists of three steps: (i) identification of responsibilities from functional requirements, (ii) extraction of causal relationships between the responsibilities, and (iii) allocation of the responsibilities to architectural components. Thus, designers can obtain a first view of a software solution that covers both structural and behavioral aspects. This view is useful for assessing architecture alternatives or for further design refinements. The approach relies on NLP and Data Mining techniques. An experimental evaluation with four case studies revealed that our approach detected on average 75% of the responsibilities in term of F-measure.
Towards an Integral System for Processing Big Graphs at Scale

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. An increasing number of business applications naturally model data as graphs to capture complex relationships and dynamic interactions among entities. Processing such big graphs typically involves a variety of graph computations over billions of vertices and edges. It imposes many new challenges on users and developers. In this talk, I will first give an overview of the landscape of big graph processing and then present the design and implementation of GraphScope, a unified and open-source engine for big graph processing from Alibaba and Ant Group. GraphScope provides a unified programming interface to a wide range of graph computations such as graph traversal, pattern matching, iterative algorithms, and graph neural networks with a high-level programming language and supports parallel and distributed execution of sophisticated graph analysis on a cluster of machines. In addition, it provides an seamless integration of a highly optimized graph engine in a general-purpose data-parallel computing system. Finally, I will outline some challenges and future research directions for complex graph computations.
Developing a Mobile Application as a Learning Medium on Maternal Emergencies Related to Postpartum Hemorrhage

Maternal mortality (MM) remains a problem in the world as 380 mothers die from complications related to pregnancy and childbirth worldwide. Postpartum hemorrhage is the world’s leading cause of maternal mortality. In Indonesia, there were 8,600 maternal mortality cases in 2017, while the target to be achieved by 2025 is 74 per 100,000 live births. The aim of this study was to develop a mobile application as a learning medium on maternal emergencies. A research and development (R&amp;D) study was conducted on 56 midwifery students, who were selected by total sampling. The KGD (KeGawatDaruratan) Maternal application was developed by using the ADDIE (analyze, design, develop, implement, evaluate) instruction model and was validated by two experts, namely, midwifery and media experts. The KGD Maternal application was assessed by midwifery students using structured questionnaires named the Technology Acceptance Model (TAM) questionnaires, which covered perceived ease of use (PEOU) and perceived usefulness (PU). The results of this study revealed that the KGD Maternal application was considered valid by the material expert and very valid by the media expert. As many as 69.6% of the midwifery students rated the KGD Maternal application as useful in the learning process on maternal and neonatal emergencies, and 73.2% rated it as easy to use. This study also revealed that the KGD Maternal application could provide greater opportunities for midwifery students to access, and facilitate and enable them to understand, materials about maternal emergencies. Based on the findings in this study, institutions of midwifery and nursing education should design and develop learning media that can provide a more optimal learning process. Furthermore, a higher extent of mobile application development is needed to provide better learning media. Increased knowledge and competency will clearly result in decreased maternal mortality.
HISTORICAL AND ETHNOGRAPHIC RESEARCHES OF TURKESTAN SCIENTIFIC SOCIETIES (ON THE BASIS OF NAU FUNDS)

This article reveals the content of documents in the collections of funds I-69, I-361, I-591, stored in the National Archives of Uzbekistan (NAU) of scientific societies in Turkestan, which provide historical and ethnographic information in terms of archival sources. The article examines the results of historical and ethnographic data of many scientific expeditions organized by scientific societies in the late XIX - early XX centuries and gives general conclusions.
Symmetric Semantics in an Asymmetric World

Chapter 2 surveys established research showing that symmetric semantics, as described in Chapter 1, can be applied to an asymmetric metaphysics.
Perspective Study of 2012-2020 TALE Publications

This paper tries to show the diverse perspectives of the publications in the TALE conference series with the aim of shaping the future development direction of TALE. Specifically, it was about the change in the distribution of paper source countries, research areas, active topics and institutes, etc. Through this research, we gave engineering teachers and scientists an overview and summarized data on the active institutes that participated in TALE conferences, the current situation and developments of research keywords that form the landscape of the research field. In addition, this study suggested setting up special tracks or workshops and paying more attention to the education of children with special needs and the application of new technologies in TALE.
A Study on the Reform of College English Pragmatic Teaching Based on Mixed Teaching Methods

The college English pragmatic teaching approach, which seeks to foster students' English for all-round growth, is constantly developing with the ongoing development and improvement of education in China. As a result, during the implementation of college English pragmatic teaching, teachers realized their educational responsibility and implemented the mixed teaching style in a reasonable manner [1]. English pragmatic teaching content has grown in depth, enhancing students' perceptions of learning and allowing them to participate more fully in knowledge acquisition. Furthermore, it creates a solid basis for college students' follow-up English level exams, allowing them to steadily develop their English thinking abilities. This study focuses on the mixed-methods reform of college English pragmatic teaching. The author puts forward reasonable suggestions combined with his own teaching experience.
Conclusions

Finally, we can mention two different types of conclusion, the first one is based on the proposed basic randomness method and the second one is the conclusion about the String Theory Algorithm.
Cultural potential of the clown art in the formation of pedagogical competences in the mass media era

The article is devoted to the consideration of the art of clowning as a tool for diagnosing pedagogical competencies that are constantly transforming under the influence of the mass-media cultural paradigm.It is suggested that the image of a clown in modern culture translates a conglomerate of behavioral patterns historically entrenched in the mass consciousness, which have a high cultural and pedagogical potential. A hypothesis is proposed, according to which the attitude to the figure of a clown, as to a pattern of cultural and creative behavior, can be a marker of the teacher's professional competence. The teacher's ability to distinguish a fictional character (a set of situations in which the hero-clown finds himself; episodes in which he appears; his individual characteristics) from a real person; serious activity from play and comic creativity; find it possible to compare their behavior in some cases with the clown one; the manifestation of humorous reflection and laughter creativity are considered as such urgent modern pedagogical competencies as laughter reflection, laughter self-presentation and laughter creativity. The study is based on the provisions of the concept of resilience by S. Vanishtendael; researches devoted to culturological, art history analysis of the figure of a clown. The intermediate results of the pilot survey confirm that the figure of the clown is perceived by teachers as ambivalent, either as a creative person, or as an artistic image of art and media reality, or as their symbiosis. Humorous self-reflection and laughter self-presentation of the teacher can be considered as a predictor and correction of the further trajectory of his professional activity. The peculiarities of the perception of the figure of a clown as a pattern of cultural and creative behavior can be used as a diagnostic tool for determining the level of formation of the teacher's actual pedagogical competencies in the era of mass media.
Investigation of the influence of a template matrix on the embedding of information in an image

Steganography is a modern approach to protect classified data against malicious attacks and misuse. Presented, accordingly, in this paper is a novel method for steganographic embedding of information. A template matrix is used for screening the original message embedded in an image. The efficiency of the steganographic embedding depends on the length of the message. The particular dependency is, therefore, the primary focus of the proposed work. The end results of the experiment were extremely satisfactory with the percentage of successfully retrieved messages being more than 90%, and the size of the processed images with embedded messages being fully acceptable and capable of being used in a communication environment.
Space and Time Efficiency Analysis of Data-Driven Methods Applied to Embedded Systems

One of the applications of data-driven methods in the industry is the creation of real-time, embedded measurements, whether to monitor or replace sensor signals. As the number of embedded systems in products raises over time, the energy efficiency of such systems must be considered in the design. The time (processor) efficiency of the embedded software is directly related to the energy efficiency of the embedded system. Therefore, when considering some embedded software solutions, such as data-driven methods, time efficiency must be taken into account to improve energy efficiency. In this work, the energy efficiency of three data-driven methods: the Sparse Identification of Nonlinear Dynamics (SINDy), the Extreme Learning Machine (ELM), and the Random-Vector Functional Link (RVFL) network were assessed by using the creation of a real-time in-cylinder pressure sensor for diesel engines as a task. The three methods were kept with equivalent performances, whereas their relative execution time was tested and classified by their statistical rankings. Additionally, the space (memory) efficiency of the methods was assessed. The contribution of this work is to provide a guide to choose the best data-driven method to be used in an embedded system in terms of efficiency.
On the Efficiency of Combinatorial Generation for Adaptive Image Steganography

Steganographic embedding is an effective method of protecting information transmitted over an open communication channel. Steganography techniques hide information in digital objects by embedding to make it invisible to an attacker. The most common covers for hiding additional information are multimedia data, in particular digital images. The embedding effectiveness is mainly assessed by the criteria of invisibility and capacity. One of the ways to improve the embedding efficiency is to choose the best location of message bits within the cover object, but it usually takes a long time to iterate through a large number of such embedding options. In this paper, we propose a new approach to finding the best option for steganographic embedding of information into the phase spectrum of the discrete Fourier transform based on the methods of combinatorial generation. The results of the experiments show that the new approach allows us to reduce the best embedding option search time, while the invisibility and capacity indicators remain high.
ADAPTATION OF E-LEARNING COURSES TO THE MOBILE FORMATFOR BLENDED LEARNING

Purpose: Аnalysis and generalization of ways of adaptation of the educational content of electronic courses to the mobile format; selection and testing of the optimal option based on the existing infrastructure of the higher education institution on the basis of the Moodle platform. Methodology: The method of analysis, systematization, generalization, comparison and synthesis is used in the article; generalization and systematization of own practical experience, interpre- tation of research results and pedagogical observation of the results of the educational process. Findings: The prolifera- tion of mobile devices expands the possibilities of their application in the educational process of training professionals to be. For the implementation of distance and blended learning in mobile learning the adaptation of e-learning courses to the mobile format is required. To do this, itis important to pay attention to the factors that cause compliance with the requirements for pedagogical design of e-courses on mobile devices, namely: the small screen size, the lack of mouse, the need for constant support and the presence of distractions. Originality: Considering the predominant use of the Moodle platform by higher education institutions in Ukraine and the fact that much work has been done by teachers to create distance learning courses in this system, it is advisable to consider the possibility of working with Moodle on mobile and portable devices. In particular, one of the main conditions that contributes to the multiplatform nature of e- courses is the use of the site design theme for the distance learning, which is adapted for different types of devices. Practical value: The e-courses in the mobile format in the browser and in the mobile application are different. The first one is very similar in appearance to a personal computer browser view. This option will be convenient for those stu- dents who are accustomed to designing a site on a personal computer and find it difficult to switch to another interface. However, the interface of the mobile application is more convenient to use in the format of mobile learning, because it takes into account all the requirements for an e-course in the mobile format (convenient and clear navigation, simple and usable design, clear division into information blocks, etc.). Conclusions: The Moodle mobile application allows users to adapt e-learning courses to the mobile format in the easiest way: by taking into account the requirements for pedagogical design of mobile learning applications, the teacher only has to place and compose learning materials con- forming the requirements to font, text, graphics and video structuring.
State-of-the-Art Sensors Research in Ireland

This Special Issue captures a significant portion of the current sensors research excellence in Ireland [...].
TO THE IDEA OF THE VARIETY OF COGNITION TYPES: SPECIFICITY AND STATUS OF PRACTICAL SPECIALIZED KNOWLEDGE

One of the main directions of development in the modern philosophy of cognition lies in the study of cognition as an internally diverse process, including fundamentally different ways of cognitive activity, which interact and complement each other. The most universal of them are ordinary, scientific, artistic, religious and mythological cognition. The article is devoted to the substantiation of the idea to add to this list of knowledge types the specialized practical (or subject-practical) knowledge as a specific way of producing knowledge in the framework of complicated practical activity. The specialized nature distinguishes this type of knowledge from ordinary one, and the orientation toward efficiency, as opposed to the search for truth, gives a difference from scientific knowledge. The description of varieties of specialized practical knowledge allows to demonstrate its prevalence in culture.
Security Utilization of Cloud Computing in The World of Business For Small Medium Enterprises (SMEs)

At this time the business world began to compete globally with the aim of satisfying customers, so companies need access and information that is fast and accurate. To access information quickly, companies need to build information and communication technology infrastructure which is certainly not easy with the need for a large enough capital, besides that there is cloud computing which can be an alternative. The progress of information and communication technology that we have achieved now has really been recognized and felt to provide a lot of convenience and comfort for human life. Information Technology (IT) solutions, cloud computing, are now starting to be discussed a lot by business people, including in Indonesia. Even though it's popular, it doesn't mean cloud computing is easily accepted. Cloud computing will actually save business operations much more, compared to using traditional methods among Small and Medium Enterprises (SMEs). There are various kinds of services provided by cloud computing, including hardware, infrastructure, platforms, and applications. Cloud computing has considerable benefits, this is because the services of cloud computing can reduce computing costs, increase reliability and provide considerable opportunities for the infrastructure world. The purpose of this research is to increase business competitiveness in the business sector by using the Salesfoorce App Cloud application. The results of this application can make business models more flexible and know market needs and consumer needs.
The Teacher in the System of Developing Students’ Digital Competence

Higher education institutions must provide training for a graduate who has a high level of digital competence.Such training can be implemented in the digital educational environment of a higher education institution.The article describes the essence of the concept of "digital competence".European and domestic approaches to the study of the formation of digital competence of specialists are analyzed.Teachers of higher education institutions play an important role in the development of digital competence of future teachers.The digital educational environment requires from them a different approach to the organization of the educational process, the acquisition of new skills and abilities to work in the digital educational space.In this context, it is necessary to develop a strategy for preparing teachers to work in the digital educational environment.The Ternopil Volodymyr Hnatiuk Na-
INTERDISCIPLINARITY IN THE PROFESSIONAL TRAINING OF FUTURE ENGINEERS

The article reveals the interconnection of economic, scientific and technical factors in engineering training. The article explores that global enhanced interdisciplinarity has been discussed in the engineering education context from the early 21st century. It has been found out that there is no disagreement about its importance for the engineers, the key question has been how to implement theory into practice both in the curriculum and in the actual learning enhancement phase. Interdisciplinarity in the engineering education is considered as a basis for critically new competitive engineering solutions. The indicators proving the availability of interdisciplinary management system at a higher educational institution are outlined. The necessity of using interdisciplinary educational technologies in the process of training engineers has been substantiated in the article. The decisive significant feature of interdisciplinarity in education under the condi-tion of sharp growth in information activity and the increased role of intellectual property items in modern economy are demonstrated. Interdisciplinarity is based on the network relations among the studied disciplines. Goal, content, and trends in interdisciplinarity are presented in the system of engineering training. It has been claimed that interdisciplinarity, which envisages systemic integration of acquired knowledge into the individual’s worldview, enables to transform abstract information into applicable skills and competencies. Interdisciplinary tasks of engineering education boost intensive international collaboration and intercultural cooperation. It is concluded that the interdisciplinarity of the educational process should be focused on the development of human consciousness and the level of moral, socio-economic, professional competencies. It is shown that the transition to interdisciplinary education is a problem of values, rational will and choice.