Reviewerly/exHarmony huggingface dataset:
To smooth or not to smooth? A traceological and experimental approach to surface processing of Bronze and Iron Age ceramics

The biographic approach – that is, tracing artefacts’ ‘lives’ from production, through their use, and finally to their deposition – is commonly applied in the analysis of lithic, flint, and metal artefacts. Objects made of clay, although the most common artifacts at many prehistoric sites, are rarely subject to such studies. In this paper, we focused on the short span of time during the “life” of a ceramic object when its surfaces were smoothed or/and burnished. Both are typical properties of Bronze/early Iron Age pottery found in today’s Poland. We studied two factors that influenced the desired final effect: the vessel drying time and the applied tool(s). To accomplish this study, we combined the results of observations of 46 samples from three settlements and two cemeteries in southwestern Poland, as well as the analysis of experimental reference samples. We demonstrated that the drying time was crucial, while the tool kit was composed of rather simple, mostly unprepared, objects such as pebbles or pieces of antler. In the smoothing process, we also observed a connection between surface selection (internal/external) and the purpose to which the vessel was put (settlement/funerary).
Formation of IT Competences of Future Mechanical Engineers

Modern trends in the development of manufacturing industries impose new requirements on engineers. Due to the rapidly deepening trends in the digitalization of mechanical engineering, one of the main requirements for the successful professional activity of technical specialists is the possession of tools in the field of information technology. The work highlights the directions of development of mechanical engineering, which define IT-competences of engineers: automation of production and management of product life cycle, use of IT in design and production, growth of demand for “smart” machines. The prospects for the development of it infrastructure in the industry are outlined. On the basis of the analysis, a new content of the discipline “Information technologies in professional activity” of the basic part of engineering training aimed at the formation of popular it competencies is proposed. The main sections of the discipline are: the basics of algorithmization and programming, programming elements in Python, development and integration of software modules in automation systems, the basics of mathematical modeling, the basics of simulation. In the conditions of mass application of information technologies, transition to digital production, the use of the project method is seen as extremely promising in order to obtain a high-quality training result. The discipline provides for the implementation of the project, which includes tasks in a number of sections. Project assignments vary depending on the direction of training and the level of training of students. The structure of the content of the project work is presented in two versions: the work in the CAD-system, including the use of API; the execution of tasks in different sections with a division by level of complexity. It is proposed to divide the time allocated for the study of the discipline between sections on the basis of expert evaluation. Approbation for a number of areas of bachelor’s training in the Department of mechanical engineering. Examples of projects implementation by students are given.
The chaotic masking message model using orthogonal functions

The model for chaotic signal masking is proposed in the article. The digital signal in the bit representation is encoded using a family of orthogonal functions. Random white noise is superimposed on the resulting analog signal. The white noise amplitude is significantly greater than the amplitude of the signal. The functions orthogonal property is used to retrieve a useful signal. The advantage proposed this model is that it is not necessary to match the noise generators in the source and in the receiver of the message. The integration operation is required to retrieve the message. The using a simple rectangle scheme is discussed. The comparative computer experiment is based on two families of orthogonal functions: simple trigonometric functions and orthogonal Lagrange polynomials. It has been shown that using the trigonometric function family results in fewer errors when retrieving a message.
New Approaches to the Development of Additional Professional Competences for the Purposes of New Economy

As the market participants transform the business models, aspiring to building ecosystems, as digital technologies penetrate into all spheres of our life, as the information flows increase the human capital mobility grows, the list of competences expected to develop in today’s university graduates is changing in the global context. Current trends associated with the economic changes and digitalization require continuous upskilling of future professionals and extension of their competences beyond the curriculum. An international summer school (ISS) is an effective tool for short-term training and acquiring professional knowledge combined with managerial, communication, intercultural skills. The purpose of the study is to identify and review the main factors affecting the transformation of the role played by international summer schools in today’s economic education. Based on the review of universities’ learning offerings, the article identifies the learners’ need for acquiring additional competencies through international summer schools. The environmental changes related to the development of a new digital economy and affecting changes in technologies and learning processes at international summer schools in general, were analyzed on the basis of the model for analyzing global trends and changes in paradigms and reskilling patterns
Gerçeklik Türlerinin Karşılaştırılması

Rapid developments in technology reflect and directly affect all areas of life.One of these areas is reality technology.With this technology that combines the physical world with the digital world, changes can be created in humans' "reality" perception.This study presents information and detailed comparisons about the fundamentals, principles, and applications of augmented, virtual, and mixed reality technologies that have become popular recently.
miRID: Multi-Modal Image Registration Using Modality-Independent and Rotation-Invariant Descriptor

Axiomatically, symmetry is a fundamental property of mathematical functions defining similarity measures, where similarity measures are important tools in many areas of computer science, including machine learning and image processing. In this paper, we investigate a new technique to measure the similarity between two images, a fixed image and a moving image, in multi-modal image registration (MIR). MIR in medical image processing is essential and useful in diagnosis and therapy guidance, but still a very challenging task due to the lack of robustness against the rotational variance in the image transformation process. Our investigation leads to a novel, local self-similarity descriptor, called the modality-independent and rotation-invariant descriptor (miRID). By relying on the mean of the intensity values, an miRID is simply computable and can effectively handle the complicated intensity relationship between multi-modal images. Moreover, it can also overcome the problem of rotational variance by sorting the numerical values, each of which is the absolute difference between each pixel’s intensity and the mean of all pixel intensities within a patch of the image. The experimental result shows that our method outperforms others in both multi-modal rigid and non-rigid image registrations.
Multilayeredness Of Literary Prosaic Text: Polyphony Vs Homophony

Any literary text has a complex multilayered structure, a whole set of ideas, images and means that form them. In this regard, the term ‘polyphony’ has become widespread in the field of philology. Drawing the analogy to the musical instrument, we have suggested using the term ‘homophony’ for deciphering the text, in other words, for analyzing its “instrumentation” that can be revealed in a different form and with the help of various devices. The aim of our research, whose results are outlined in this paper, was to receive the confirmation of the significance of rhythmic figures of speech in the context of defining the multilayeredness of the piece of work from the perspective of its structure: identifying its polyphony and/or homophony. In order to facilitate the process of carrying out the analysis we used PRD (ProseRythmDetector) which is a computer-aided application that allows to do the automatic search and quantity analysis of some rhythmic figures. In terms of the main results of the research we can come to the conclusion that rhythmic figures of speech, which are characteristic of a given author’s idiolect, text peculiarities, allow us to find a solution to the problem of polyphony and homophony to some extent. Text cannot be easily attributed either to polyphonic or homophonic, any piece of work is complex in its structure and only the entwinement of thoughts, ideas, linguistic and stylistic devices enables us to enjoy the art of the narrative and the expression of writer’s thoughts.
Investigating the Impact of Activity Class Number in Fall Detection Systems

In this study, the contribution of reducing the number of classes in the machine learning based classifiers to the accuracy level of the fall detection systems developed for older individuals is investigated. Within the scope of the study, a public dataset is used and the appropriate data source is determined, the features frequently used in determining the activity and posture are extracted and the analysis of the most successful classifier is made according to the machine learning metrics using all the classifiers in the MATLAB Machine Learning Framework. The number of classes is gradually decreased and its effect on success is examined. The classification carried out with the Cubic Support Vector Machine (Cubic SVM) algorithm, which is determined as the most successful classifier in the classification without reducing the number of classes at the initial stage, is 96.4%. In accordance with the nature of the problem, contrary to the studies in the literature, when the number of classes is reduced to two, the falls are correctly determined by 99.3% by using k nearest neighbor algorithm.
Android Based Mind Mapping Learning Media to Improve Students' Understanding of National Income

The purpose of this study was to develop an Android-based mind mapping learning media for national income material to improve students' understanding of IPS Class XI specialization. This Development Research uses Analysis, Design, Development, Implementation, and Evaluation. Based on the results of trials that can be obtained that understood by students increases. The pre-test and post-test results increased by 30.6%, and the test results prove a statistically significant difference. The implications of this study confirm the application of the concept of mind mapping in interactive learning media that helps improve student learning outcomes, especially in material with complex concept construction.
Genetic Algorithm Based Fuzzy Cognitive Map Concept Relationship Determination and Sigmoid Configuration

Fuzzy cognitive maps take the features of a problem or a system as a concept to solve a problem or to model real world systems. Here, the positive or negative relationships between the concepts of fuzzy cognitive map are expressed with fuzzy weights, and the proposed solution or cognitive construction of the system model is completed. Previously, many different perspectives have been proposed in the literature for FCM weighting. Some of them utilize an expert group to determine the relationships between concepts, some using Hebbian-based methods, some using population-based meta-heuristic optimization methods, and some FCMs use different supervised computational intelligence methods. For FCMs that use supervised learning techniques in weight determination and updating, it is not possible to provide a data set with system-related conceptual relationships. Data sets for systems or problems generally contain the values that the concept values take over time. In this study, it is aimed to bring the cognitive weights corresponding to the concept values of the raw data sets of the systems to be expressed with FCM by a genetic algorithm based method. The method tested on different scenarios has a very high performance.
Development of a Decision Support System in Oncology for Prostate Adenocarcinoma

The present paper introduces a Decision Support System, applied to assessment and treatment in Oncology, named Oncology Custom Assistance Tools (OnCATs).It is aimed to evaluate if OnCATs can characterize a patient into a definitive risk group, assess all the available treatment options and individually prescribe every treatment that is part of the chosen treatment course.On the first phase the knowledge base was built resorting to 23 guidelines for the treatment of prostate cancer.The interface was built using Microsoft Visual Studio 2010.Lastly, the system was tested using 10 case reports published on the Journal of Medical Case Reports and PubMed websites.The OnCATs' output was submitted to a pass/fail analysis.OnCATs can accurately assign a risk group to a prostate cancer patient.As for treatment course assessment, it was found that the estimation of the patient's life expectancy can highly impact the output generated by the system.Regarding the prescription of treatments, OnCATs performed better on the prescription of EBRT treatments, in comparison with ADT.
Creation of digital educational environment for police leaders

The article is devoted to the problems of creating a successful digital educational environment in a higher educational institution. The issues of interactive communication between teachers and students in virtual space using computer and information and communication technologies are considered. The article describes the advantages and disadvantages of creating a digital educational environment at the Academy of Management of the Ministry of Internal Affairs of Russia. The authors analyze the assessment of the organization and content of the distance learning course from the point of view of the representatives of the teaching staff. The objectives of the study include studying the issue of the level of readiness of the teachers of the educational organization to conduct training sessions in a distance mode, as well as the analysis of the degree of the students’ self-organization and their abilities for the independent acquisition of knowledge in a remote access mode. During the study, considerable attention is paid to the study of problematic aspects of creating a digital educational environment in a higher educational institution and the search for possible ways to overcome them.
Contractual Character of Introduction of Information Technologies in Russian Education

in the article, the authors draw attention to the fact that when information technologies are introduced, content elements of the Western world are quite often introduced into Russian society, which do not correspond to the established cultural and historical traditions of Russian society. As a result, the proper level of modernization is not ensured and society is in fact thrown back. The conclusion, which is substantiated in the article, is that in order for modernization to be carried out productively, it is necessary, when introducing digital technologies, to fill the forms of the global world as content with a culture that was formed in the course of historical development and rooted in the reality of Russian society.
Trajectory Saliency Detection Using Consistency-Oriented Latent Codes From a Recurrent Auto-Encoder

In this paper, we are concerned with the detection of progressive dynamic saliency from video sequences. More precisely, we are interested in saliency related to motion and likely to appear progressively over time. It can be relevant to trigger alarms, to dedicate additional processing or to detect specific events. Trajectories represent the best way to support progressive dynamic saliency detection. Accordingly, we will talk about trajectory saliency. A trajectory will be qualified as salient if it deviates from normal trajectories that share a common motion pattern related to a given context. First, we need a compact while discriminative representation of trajectories. We adopt a (nearly) unsupervised learning-based approach. The latent code estimated by a recurrent auto-encoder provides the desired representation. In addition, we enforce consistency for normal (similar) trajectories through the auto-encoder loss function. The distance of the trajectory code to a prototype code accounting for normality is the means to detect salient trajectories. We validate our trajectory saliency detection method on synthetic and real trajectory datasets, and highlight the contributions of its different components. We compare our method favourably to existing methods on several saliency configurations constructed from the publicly available large dataset of pedestrian trajectories acquired in a railway station.
Mapbox.js: an engaging open-source web mapping tool for teaching data visualization theory

This review provides an overview of web mapping tools and discusses why and how Mapbox.jshas been an effective tool in the delivery of one-shot instructional sessions on data literacy andvisualization theory in an academic library context.
Efficient Oblivious Substring Search via Architectural Support

Performing private and efficient searches over encrypted outsourced data enables a flourishing growth of cloud based services managing sensitive data as the genomic, medical and financial ones. We tackle the problem of building an efficient indexing data structure, enabling the secure and private execution of substring search queries over an outsourced document collection. Our solution combines the efficiency of an index-based substring search algorithm with the secure-execution features provided by the SGX technology and the access pattern indistinguishability guarantees provided by an Oblivious RAM. To prevent the information leakage from the access pattern side-channel vulnerabilities affecting SGX based applications, we redesign three ORAM algorithms, and perform a comparative evaluation to find the best engineering trade-offs for a privacy-preserving index-based substring search protocol. The practicality of our solution is supported by a response time of about 1 second to retrieve all the positions of a protein in the 3 GB string of the human genome.
THE TPACK CONFIDENCE OF PRE-SERVICE TEACHERS IN SELECTED PHILIPPINE TEACHER EDUCATION INSTITUTIONS

The changing educational landscape of Philippine education in the past decade poses challenges to the implementers of the curriculum innovations – the teachers. Consequently, this has put more pressure on the teacher education institutions (TEIs) to produce a quantity of quality teachers. From this context, this paper examines the technological, pedagogical, and content knowledge (TPACK) confidence level of pre-service teachers in selected Philippine teacher education institutions. The TPACK Model has been a very useful framework for academic stakeholders to understand and measure the level of technology integration in teaching and learning. Using a 64-item self-diagnostic questionnaire designed to measure the dimensions of TPACK in terms of learning experience and practice, and assessing the responses of 187 graduating pre-service teachers from selected Philippine TEIs, the data suggest that the pre-service teachers are fairly confident with the learning experience they get from the TEIs and that by using these experiences they frequently demonstrate the acceptable teacher competency and standards. Furthermore, the levels of TPACK confidence of the secondary and elementary pre-service teachers significantly differ from each other such that the former are more confident with their learning experience and practice. Data also show that there is a significant relationship between the quality of learning experience and the ability of the pre-service teachers to demonstrate the core competencies of TPACK. Hence, teacher education institutions must consider innovating their curriculum through training, subject-focused pedagogical modeling, and subject-specific technologies.
Robots on stage

This article investigates the appearance of robots on stage in contemporary performance.As a convincing demonstration of the relevance of robots -as artefact, concept and metaphor -we take Blanca Li's 2013 dance performance Robot ! as our starting point.We have distilled five dimensions that provide vocabulary and terminology to characterise different instances of robots on stage with a focus on their expressive character.These dimensions are: Movements, Apparent level of Autonomy &
Novel Motion Planning Method for Mobile Robots Using Velocity Obstacle

The main concept of this article is to introduce a cost function based algorithm for the reactive motion planning problem of mobile robots.With the usage of the cost function, different strategies can be combined.Next to speed and safety, several aspects can play a role in the motion.i.e.Traffic Regulation rules or lane-keeping.The different methods can be used separately as well, but the combination of methods provides an appropriate solution.The introduced reactive motion planning algorithm generates a collision-free solution for the agent in dynamic environment.
The Influence of Signal Polarization on Quantum Bit Error Rate for Subcarrier Wave Quantum Key Distribution Protocol

In this paper, we consider the influence of a divergence of polarization of a quantum signal transmitted through an optical fiber channel on the quantum bit error rate of the subcarrier wave quantum key distribution protocol. Firstly, we investigate the dependence of the optical power of the signal on the modulation indices’ difference after the second phase modulation of the signal. Then we consider the Liouville equation with regard to relaxation in order to develop expressions of the dynamics of the Stokes parameters. As a result, we propose a model that describes quantum bit error rate for the subcarrier wave quantum key distribution depending on the characteristics of the optical fiber. Finally, we propose several methods for minimizing quantum bit error rate.
AN ATTITUDINAL SYSTEM ANALYSIS OF TEACHER’S TALK IN EFL CLASSROOM INTERACTION

This present study is intended to analyze the dominant type of attitudinal system that expressed by the teacher. This study utilized qualitative method with Critical Discourse Analysis (CDA) as research design. As for research sampling, this study involved an English teacher and one science class of eleventh grade students in one of secondary school in Majalengka. In order to collect the data, the researcher utilized the instrument of observation. Then, this data were analyzed by using Appraisal Theory that proposed by Martin and Rose (2007). As for the results, this research found that the dominant type of attitudinal system that expressed by the teacher is Affect category. It indicated that both the teacher frequently expressed his opinion, feeling and emotion through their talk. Furthermore, these talks mostly expressed in positive way. It indicated that the teacher always tried to build a positive atmosphere by saying positive talks in order to stimulate the students to become active in the classroom. Therefore, it can be said that it is very important for the teachers to pay more attention in managing their talk since it can affect students’ interaction in the classroom.