Reviewerly/exHarmony huggingface dataset:
Gun Model Classification Based on Fired Cartridge Case Head Images with Siamese Networks

The identification of the firearm model that triggered the firing of a bullet is an important forensic information that, historically, has been done by trained examiners through visual inspection using microscopes. This is an extensive and very time-consuming process that requires the examiners to be trained to identify and compare the fired cartridges. This paper proposes an automated objective method for binary classifying pairs of fired cartridge head images as belonging to the same or different classes, using siamese neural networks (SNNs). With this technique, an accuracy of up to 70% was reached by using firing pin mark images as the input of the SNN. For the training and optimization of the network this paper also analyses and presents different image preprocessing approaches.
NEW TECHNOLOGIES IN THE DOCUMENTARY PRODUCTION AND FOR THE EDUCATION VIRTUAL REALITY AS A NEW WAY OF REPRESENTATION AND A NEW MEANS FOR A LIVE AND SENSORY EXPERIENCE

Information about the paper titled "NEW TECHNOLOGIES IN THE DOCUMENTARY PRODUCTION AND FOR THE EDUCATION VIRTUAL REALITY AS A NEW WAY OF REPRESENTATION AND A NEW MEANS FOR A LIVE AND SENSORY EXPERIENCE" at IATED Digital Library
APPLICATION OF THE MAIN IDEAS OF THE OBJECT-ORIENTED APPROACH TO THE DESIGN OF A MONITORING SYSTEM FOR THE EDUCATIONAL PROCESS IN PHYSICS

The principles of building physical knowledge largely determine the structure and content of technical and natural science knowledge. Therefore, it is difficult to overestimate the importance of the physics course at the training process in engineering and natural science directions of preparation. However, in recent years in Russian universities in the bachelor's system, there has been a steady trend towards a decrease in the total labor intensity of the discipline "Physics" in the structure of professional training. The country's universities offer a wide range of pedagogical solutions to mitigate the negative manifestations of this trend. A special place is given to the design of information technology to support the educational process of the discipline.The article presents the experience of developing an automated testing system of integrated monitoring of the educational process in physics. A fundamental feature of the proposed system, which distinguishes it from existing analogs, is the methodology of its design, based on the ideas of an object-oriented approach. Instrumental means of designing were chosen CASE technology and used in their unified modeling language (UML). In the notation of this language, a general idea of the projected information system is built based on a complex of developed diagrams that are visually understandable to the entire development team, regardless of their professional affiliation.The main stages of designing an automated testing system are described: domain analysis, building the model, creating the system, its physical implementation. Visualization of each design stage was provided by building UML diagrams. The development of eight types of templates (conditions that determine the choice of a specific test task from the general bank of tasks) for all kinds of physics lessons is presented. Methods of statistical and semantic analysis were to assess the validity of test items.The basic requirements for the functional characteristics of the designed system are formulated, its executors and main precedents are determined. The software and hardware supporting the stage of the physical implementation of the system are discussed. The possibility of implementing multidimensional current and prolonged statistics for each student makes it possible to organize rating strategies of semester training cycles is noted.
USING GUIDED DISCOVERY TO TEACH CYBERSECURITY TO SECONDARY SCHOOL LEARNERS

O. Ige 1, T. Wale-Fadairo2 1University of the Free State (SOUTH AFRICA) 2Adekunle Ajasin University, Akungba Akoko (NIGERIA)
Data Security Implications in Digital Health:

Elaine Zacharakis Loumbas Marisol Peters This chapter describes the current state for the risk challenges, regulatory obligations and legal mandates facing healthcare provider organizations in today’s cybersecurity burdened world. As cybersecurity threats are growing, it is more important than ever for senior leadership of healthcare organizations to embrace a culture of security that can be implemented throughout the organization. Healthcare organizations must develop a strategy for security that incorporates legal requirements such as the HIPAA security regulations as well as industry standards. This chapter provides the background information needed by all healthcare professionals and details the legal requirements and the important steps that organizations should take to protect the healthcare information of their patients. Nurses as the majority of frontline healthcare providers play an important role in safeguarding their patient’s information and the security of their organization’s electronic systems.
Universal MemComputing machine

Abstract This Chapter introduces the formal definition of universal MemComputing machine (UMM). It explains its main features that set it apart from a Turing machine: intrinsic parallelism, functional polymorphism, and information overhead. It also shows that a UMM with an exponential information overhead can solve NP-complete problems with polynomial resources.
MOBILE-ASSISTED LANGUAGE LEARNING PROS AND CONS

E. Dolzhich , S. Dmitrichenkova , Y. Sanchez PozueloРeoples’ Friendship University of Russia (RUDN University) (RUSSIAN FEDERATION)
Automatic Picking of Teleseismic P- and S-Phases using an Autoregressive Prediction Approach&amp;#160;

&amp;lt;div&amp;gt; &amp;lt;div&amp;gt; &amp;lt;div&amp;gt; &amp;lt;p&amp;gt;In the recent decade, the amount of available seismological broadband data has increased steeply. Picking later arriving phases such as S-phases is difficult, and there are few manual picks available for these phases. Data sets of manual picks can also be problematic, since phase arrival picks are sensitive to the parameters of the filtering, which are often unknown, and the individual picking behavior of the analysts. However, accurate arrival times, especially for these phases, could be used to improve the accuracy of velocity models obtained from seismic tomography. This necessitates the adoption of automatic techniques for determining teleseismic phase arrival times consistently over a large data set.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;In this work, a robust automatic picking algorithm based on autoregressive, multi-component, multiple-sample forward prediction is examined with regards to its accuracy. The phase is identified using the Akaike criterion and the onset time is found by evaluating discontinuities in the instantenous period of the signal. This signal analytic approach is tested using synthetic waveforms as well as real data in conjunction with manual picks obtained from the reviewed ISC-catalog.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;Picking errors are estimated by comparing the automatic picks with manual picks, automatic picks at the neighboring stations as well as statistical meth- ods. The quality evaluations suggest potential of using these automatically determined phase arrival times for a travel time tomography.&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt;
THE ATTITUDES TOWARDS DIGITAL EDUCATIONAL TECHNOLOGIES IN RUSSIAN UNIVERSITY STUDENTS WITH DIFFERENT EXPERIENCE IN REMOTE LEARNING

I. Novikova , P. BychkovaPeoples’ Friendship University of Russia (RUDN University) (RUSSIAN FEDERATION)
Empowering high-school scoutmasters for disaster risk reduction

The government of Provinsi Jawa Barat, Indonesia, has made a blueprint for disaster risk reduction (DRR); starting from disaster risk assessment, pre-disaster preparation steps, to emergency first aids, called JRCP. However, the blueprint was not yet known by the public. The scouting movement in Indonesia known as Pramuka has good potential to be prepared as DRR volunteers because it has many young, physically strong members who are ready to accept technology. Therefore, it is necessary to empower disaster mitigation for high-school scoutmasters. Scoutmasters from Provinsi Jawa Barat were given workshops for risk management and emergency bag preparation. The. The t-paired test used on the pre-test and post-test scores shows that the scoutmasters who have participated have shown an increase in knowledge and skills related to disaster preparedness. Hence, it shows the potential use of scoutmasters to become part of natural disaster preparedness.
A Study to Identify Intrinsic Factors Influencing Job Motivation of Employees in the Hotel Industry in Malaysia: A Case Study on THKL, a Five-Star Hotel in Kuala Lumpur, Malaysia

Employees are a fundamental component of service delivery in hotels. With the outbreak of the pandemic, it has led to significant staff turnovers in the hotel industry in Malaysia. The question is, how to manage and retain the existing talent in the industry, considering that regular travel will be back to normal post the pandemic. The purpose of this study is to identify the extent to which intrinsic factors influence job motivation of employees in the hotel industry in Malaysia, narrowing down to a case study on THKL, a five-star hotel in Kuala Lumpur where staff turnovers have also been a significant concern lately. To fulfil the purpose of the study, a conceptual framework was developed based on past models and theories of human motivation to derive four intrinsic factors that formed the basis of the four hypotheses that were tested via the conduct of a quantitative mode of research. A total of 99 employees of THKL successfully completed the quantitative questionnaires. To analyse the data collected, SmartPLS version 3.3.3 was employed. The findings revealed that having a sense of purpose at work is positively related to job motivation, for both the white-collar and blue-collar respondents. The need for competence was also positively related to job motivation amongst the blue-collar respondents. However, both autonomy and relatedness need were found to have a negative relationship with job motivation, both for the white-collar and blue-collar respondents. In conclusion, the hotel management can explore the possibility of enhancing their employees’ sense of purpose at work. The hotel can also provide additional educational qualifications to the blue-collar employees who are seeking to improve their competency. Additionally, the hotel leadership can work towards evolving the purpose of the organization for it to become a purpose driven organization.
TYPES OF QUESTIONS USED BY ENGLISH TEACHERS AT SMP MUHAMMADIYAH 5 PADANG

Class interaction is part of the communication between teachers and students that occurs in the class. To interaction with student in the classroom, should have conversation are the teacher and student. Interaction occurs when teachers and students have the same opportunity to talk in class. However, most classroom interactions are dominated by teacher talk. Therefore, as a teacher, choosing the type of conversation is important. As a type of teacher talk, the use of teacher questions is considered an appropriate way to encourage student responses while creating balanced interactions in the classroom. This is what influenced the researchers to conduct research at SMP Muhammadiyah 5 Padang, namely grade 8. The teacher in the class had difficulty interacting with students in the classroom. Therefore, he always tries to ask students questions to encourage student responses to create interaction in the classroom. This study is aimed to find out: first, the types of question used by English teacher at SMP Muhammadiyah 5 Padang. Second, The relation of questions to classroom interaction. To achieve that goal, the researcher used a qualitative method by conducting classroom observations, recording, and interview English teachers at SMP Muhammadiyah 5 Padang. The research shows that there are 32 questions in 2 hours of learning. Of the 32 questions,
Automatic Modulation Recognition of Analog Modulation Signals Using Convolutional Neural Network

In this study, different deep learning approaches are applied to automatic modulation classifier (AMC). AMC can change its characteristics based on channel conditions. It gained importance in crowded spectrum due to its numerous advantages. The primary goal of the study is to guide researchers to choose appropriate technique based on channel conditions and modulation classes from pool of available deep learning (DL) techniques. In this paper, simulations are carried on analog signals using CNN. Furthermore, merits and demerits of proposed approach are discussed.
Research on Image Matching Algorithm Based on Improved Whale Optimization Algorithm

Aiming at the problems of low accuracy and slow speed of traditional image matching methods, an image matching method based on improved whale optimization algorithm is proposed to solve complex image matching problems. Firstly, nonlinear factor is used replace of linear factor in whale optimization algorithm to improve the global exploration ability of the algorithm and balance the exploration and development of whale optimization algorithm. Then, the improved whale optimization algorithm is transformed into a target matching process, and the feature extraction of image blocks is carried out by using histogram of oriented gradient to achieve accurate target matching. Finally, experiments show that the improved whale optimization algorithm shows good results in image matching.
DISTANCE LEARNING DURING THE COVID PANDEMIC - SELF-ASSESSMENT OF LEARNING ABILITIES BY STUDENTS (BULGARIAN SECONDARY SCHOOL SURVEY)

S. Petrova 1, D. Karagyozova-Dilkova1, Z. Raykova1, M. Atanasova1, K. Katsarova2, D. Dimova3, K. Vitlarov4, A. Mollov1, M. Dakova1 1Plovdiv University "Paisii Hilendarski" (BULGARIA) 2Language School "Plovdiv" (BULGARIA) 3III Secondary School - Targovishte (BULGARIA) 4Secondary School "Vasil Levski" - Plovdiv (BULGARIA)
Introduction

This introduction outlines the aims and themes of this volume. We discuss the central position of notation in the foundations of music scholarship as well as the various moves towards disciplinary innovation since the late twentieth century that have challenged it. We argue that the study of notation as material culture, understood in a broad sense in the wake of recent arguments for a general ‘material turn’, provides a fruitful way to attend to musical practices of reading and writing while avoiding a traditional work-based ideology. We connect this materialist approach to notation to recent developments in the study of musical instruments while also identifying precursors in the study of early music as well as the ethnomusicological study of non-western forms of notation. We conclude by outlining four important themes in the study of notation as material culture that also form the four parts of the volume: epistemology, embodiment, social relations, and technology.
THE SPACAR PROJECT, AN ERASMUS+ KA202 ACTION TO PROMOTE THE SPATIAL SKILLS ON STUDENTS AT VOCATIONAL SCHOOLS: PRELIMINARY OUTCOMES

This paper reports the preliminary outcomes of the project “Contemporary Approach to the Development of Spatial Comprehension through Augmented Reality Content” (SPACAR) financed under the Key Action 2 framework of the Erasmus+ programme. Concretely it is being funded as a Strategic Partnerships for vocational education and training (KA202 action). The project is aimed to develop a didactic toolkit to promote the development of spatial skills in students both at vocational schools and technical colleges. Spatial skills are an important factor for the success of students in many areas related to the Science, Technology, Arts and Mathematics (STEAM) fields. Modern mobile phones are a powerful platform to interact with 3D models and experiment with augmented reality. The main outcomes of the project are a mobile app running on both Android and iOs devices, a web platform for the management of the exercises and a methodology document to explain the use of the platform. The students can use the mobile app to access a course that is a collection of exercises. Each exercise contains a text description and a set of support files. These files can be 3D models, images or any type of file that can be visualized on a mobile phone. 3D models can be visualized both using augmented reality and an internal 3D model visualizer. The augmented reality functionality needs a QR code that works as a fiducial marker. Intellectual outputs (IO) of the SPACAR project provide a collection of exercises that are organized on 5 groups:- IO1: Cutting Geometrical Solids with Planes.- IO2: Intersections of Geometrical Surfaces.- IO3: Orthographic projections.- IO4: Construction of Elements of Machine Parts.- IO5: Architectural and Construction Drawing.The SPACAR web platform provides teachers with the proper administrative rights, the possibility of creating their own courses. A course is a collection of exercises. These exercises can be copied from the IOs developed by the SPACAR partners. Currently, all the outcomes of the project are freely available in English. During the next months, they will be translated into the national languages of the partners.
Two-Tier Model оf Training Future Teachers for Coaching at out-of-school Institutions

The article presents a two-tier model of training future teachers for work in out-of school educational institutions based on coaching. Its essence is that at the first level, the future teachers master the theoretical and methodological foundations of coaching both with the help of university teachers and independently, and at the second stage, they, first with the teachers’ support and then independently, organize training based on coaching in out-of-school training institutions and thus in the process of working with children develop their professional competencies. For theoretical justification and practical verification of this model effectiveness, a pedagogical experiment was organized at the Carpathian National University, Ivano-Frankivsk, Ukraine. During its conduct, the prognostic tools developed by the authors of this study to determine the level of students’ readiness for self-development and the coaching methodology of pedagogical training were tested. Based on the results of the research and the experiment, the effectiveness of the presented model and the feasibility of its use in the work of general educational, out-of-school and higher education institutions are substantiated.
Actual Practice of Short Time Period Implementation of Multiple Web Conferencing Systems for Online Classes

With the expansion of COVID-19 outbreaks, the lecture environment has changed dramatically. Various activities have been held by distance learning, however, the style of online learning and hybrid learning is also popular. The key to these lectures is the web conferencing tool. The key factor to success in new age lectures is how the web conferencing tool can be adapted to the existing information system. Tokyo University of Agriculture and Technology (TUAT) has developed full online courses from the first semester (spring semester) in April 2020. However, the increase of the infection has remained constant, and TUAT will continue to provide online courses using the web conferencing tool from the second semester (fall semester) in October 2020, and hybrid courses that combine face-to-face teaching. To support this, a campus-wide license was purchased that enables the use of three different web conferencing tools including Zoom Meeting, Cisco Webex, and Google Meet in the suitable applications. For the start of the second semester, the Information Media Center (IMC) has developed a system to integrate with the existing authentication system to enable use of the these three tools. Since we didn’t have enough time to implement the system integration, we need to take less than a month (about 3 weeks) from the contract to the start of service. In this presentation, we explain in detail how we designed the system and how it was implemented in order to deploy these systems in a very short time period. We will also mention the implementation issues we faced. By explaining the ideal and reality of the system, we would like to discuss together with the SIGUCCS community how the system should be designed for the unusual situation.
ONLINE EDUCATION WITH THE SUPPORT OF INTERACTIVE TEACHING TOOLS

In these difficult times, we are forced to use all available technical means to ensure the continuity of the teaching process. In this article, we would like to share our experience in teaching computer science at the Faculty of Education of the University of Trnava in Trnava using the MS Teams platform and group and individual work with the help of Breakout rooms. Without the help of this technique, the teaching of programming would be less comfortable and very disturbing. Breakout rooms provide comfort similar to teaching in-person when the teacher traverses among the students within the classroom and gives them the necessary instruction to progress. We would also like to present a series of interactive teaching tools that we made to support the teaching of simple concepts such as numeric conversions (from and to binary) and logical and bitwise operations. The tools are used to learn and test these concepts. They were created with the intention of using them at primary and secondary schools, however, we are applying them in teacher training programmes to better visualise the concepts for future teachers and inspire them in their future praxis.
STUDENTS’ AND FACULTY’S ADAPTATION TO NEW CONDITIONS OF DIGITAL TRANSFORMATION OF THE UNIVERSITY

V. Larionova 1, N. Goncharova 1, L. Daineko 1, K. Brown 2 1Ural Federal University (RUSSIAN FEDERATION) 2Letterkenny Institute of Technology (IRELAND)
Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs

Abstract Entity Linking (EL) aims to automatically link the mentions in unstructured documents to corresponding entities in a knowledge base (KB), which has recently been dominated by global models. Although many global EL methods attempt to model the topical coherence among all linked entities, most of them failed in exploiting the correlations among manifold knowledge helpful for linking, such as the semantics of mentions and their candidates, the neighborhood information of candidate entities in KB and the fine-grained type information of entities. As we will show in the paper, interactions among these types of information are very useful for better characterizing the topic features of entities and more accurately estimating the topical coherence among all the referred entities within the same document. In this paper, we present a novel HEterogeneous Graph-based Entity Linker (HEGEL) for global entity linking, which builds an informative heterogeneous graph for every document to collect various linking clues. Then HEGEL utilizes a novel heterogeneous graph neural network (HGNN) to integrate the different types of manifold information and model the interactions among them. Experiments on the standard benchmark datasets demonstrate that HEGEL can well capture the global coherence and outperforms the prior state-of-the-art EL methods.