Reviewerly/exHarmony huggingface dataset:
A Deixis Analysis of Song Lyricsin Michael Bolton’s Album

The aims of this research is to identify the type of deixis, and to explain the referenceof meaning of deixis in the song lyrics of Michael Bolton’s Album. The song lyricscan be analyzed using pragmatic approach, specifically using theory of Alan Cruse(2000) about deixis. This study was conducted by using descriptive qualitativemethod. The data which is used is 8 songs of Michael Bolton’s album takenrandomly, and then they are classified into the types of deixis based on their owncriteria. The findings showed that the types of deixis are person deixis, spatial deixis,temporal deixis, social deixis, and discourse deixis are used in the song lyrics ofMichael Bolton’s Album. Based on the result, there are 274 deixis which is consist of206 person deixis; 30 temporal deixis; 20 spatial deixis; 6 social deixis; and 13discourse deixis. Those 206 person deixis include 73 (I); 76 (You); They (2); Your(15); My (6); Me (4); Mine (1); We (4); His (3); Him (2); Her (1); He (13); She (5);and Them (1). The 30 of temporal deixis which consist of Today (1); Now (3); Oneday (2); Till the end of time (1); The dawn through the night (2); Forever (4); Lasttime (1); Morning’s first light (2); My day (2); My night (2); Tonight (1); The dayhe was born (1); Overnight (3); For all your life (1); Every day and night (1); and theOur whole life through (3). The 20 of spatial deixis consist of Here (2);There (12);On The Seven Seas (1); To The Isle Of Tortuga (1); On The Ocean’s Breeze (1); OnThe Line (1); On The Road (1) ; and the This World (1). The 6 of social deixisconsist of Captain Jack Sparrow (1); Old Captain Jack (1); The Jester of Tortuga (1);The Crustacean King (1); and the Sir Captain Jack (1). The and 13 of discoursedeixis consist of This (9); the and That (4).
Privacy Preserving Client/Vertical-Servers Classification

We present a novel client/vertical-servers architecture for hybrid multi-party classification problem. The model consists of clients whose attributes are distributed on multiple servers and remain secret during training and testing. Our solution builds privacy-preserving random forests and completes them with a special private set intersection protocol that provides a central commodity server with anonymous conditional statistics. Subsequently, the private set intersection protocol can be used to privately classify the queries of new clients using the commodity server’s statistics. The proviso is that the commodity server must not collude with other parties. In cases where this restriction is acceptable, it allows an effective method without computationally expensive public key operations, while it is still secure and avoids precision losses. We report the runtime results on some real-world datasets, and discuss different security aspects and finally give an outlook on further improvements.
The mediating effect of English usage on Facebook on the relationship between shyness and English as a foreign language achievement in university students

Abstract The purpose of this study is to examine a conceptualized three-dimensional construct to test whether English usage on Facebook plays a mediating role in the relationships between shyness and English as a foreign language (EFL) achievement. A total of 174 Taiwanese university students who were enrolled in EFL courses participated in this study. When examining the role of English usage on Facebook as a mediator in the relationship between shyness and EFL achievement, I found that English usage on Facebook was negatively associated with shyness, but positively associated with EFL achievement. The results indicated that English usage on Facebook partially mediated the relationship between shyness and EFL achievement. The strength of the mediating effect suggested that English usage on Facebook explained part of the negative relationship between shyness and EFL achievement. The findings may provide valuable and useful information for linguistic and psychological research in pedagogical contexts.
Non-Negative K-SVD as an element of the forecasting electricity demand system

The article describes the NN-K-SVD method based on the use of sparse coding and the singular value decomposition to specific values. An example of using the method is the compression of load profiles. The experiment of compression of 125022 power load profiles has been carried out with the use of registered profiles in households and small offices. Two matrices: patterns (atoms) and scaling factors are the result of the discussed algorithm. Features of the created matrices, which can be used in the creation of fast power demand forecasting systems, have been characterized.
Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransE

In this paper, we propose a novel human-centric visual relation segmentation method based on Mask R-CNN model and VTransE model. We first retain the Mask R-CNN model, and segment both human and object instances. Because Mask R-CNN may omit some human instances in instance segmentation, we further detect the omitted faces and extend them to localize the corresponding human instances. Finally, we retrain the last layer of VTransE model, and detect the visual relations between each pair of human instance and human/object instance. The experimental results show that our method obtains 0.4799, 0.4069, and 0.2681 on the criteria of R@100 with the m-IoU of 0.25, 0.50 and 0.75, respectively, which outperforms other methods in Person in Context Challenge.
The Impact of Quantum Computing on Computer Science

Contrary to classical computer which store data using the digital bits 0 or 1, quantum computer use quantum bits (qubits) for coding information as O, 1, or 01 at the same time. In fact this superposition of states with the other quantum phenomena enables quantum computers to operate vast combinations of states at once. In this study, we analyze the impact of quantum computing in the simplification of classical computing complexities using in computer science. In fact, we focus on the effectiveness of quantum algorithms in different filed classical computer.
An Enhanced Knowledge Integration of Association Rules in the Privacy Preserved Distributed Environment to Identify the Exact Interesting Pattern

Numerous research works are carried out in the field of data mining, especially in the areas of association rule mining, knowledge integration in the distributed data mining and privacy intense data mining. In the distributed data mining environment, the local data mining systems distributed across the environment. The way these local mining systems distributed in the environment, plays a major role in the process of knowledge integration. If all the local data mining systems are deployed in an organization, there will not be any impact. If the local data mining systems distributed across multiple organizations, that would cause a major impact in the process of knowledge integration. The problems are caused due to the privacy related issues and the agreement between those organizations. Though there are existing generic approaches to integrate the knowledge in the distributed mining, focus of this paper is to propose an enhanced algorithm specific to integration of association rules in the privacy protected distributed data mining environment and to find the interesting rules which are sub sets of an actual rule.
Teacher Technology Competence Base

This chapter looks at the teacher and his/her technology competence base. It will attempt to determine what technology competencies the teacher should have before engaging in the use of any educational technology in the teaching and learning process. The content will argue that schools need to support teachers in accessing needed technology and in learning how to use it effectively. Institutions responsible for pre-service and in-service professional development for educators should focus explicitly on ensuring all educators are capable of selecting, evaluating, and using appropriate technologies and resources to create experiences that advance student engagement and learning. Teachers should be expected to model how to leverage available tools to engage content with curiosity and a mindset bent on problem solving and how to be co-creators of knowledge. In short, teachers should be the students they hope to inspire in their classrooms. Six concepts will guide this chapter; these are technological, instructional, methodological, evaluative, communication, and attitude.
Key Trends and Significant Challenges of Reform and Development of K-12 Education in the New Technological Environment

The New Media Consortium (NMC), focusing on tracking the application and development trend of information technology in education and teaching worldwide, released its latest Horizon Report on K-12 education in February 2017. It elaborates on six key trends, six significant challenges and six important technological development in the next five years on a world-wide scale. Therefore, it is necessary to enhance the strategic planning and analysis ability, the quality of teachers' education and digital literacy, and accelerate the application and practice of new technologies such as robotics and makerspaces in K-12 education in order to ensure the healthy and orderly development of China's K-12 education reform.
Radiometric Mapping of Hydrothermal Alterations in Isla Isabel, Mexico

Isla Isabel is a small island of volcanic origin about 29 km west of Nayarit's coast, Mexico, exhibiting phreatomagmatic activity (maars).In a nearby (8 km), ocean located, exploration well reaching 3157 m geothermal gradients of 73°C/km were recorded, which are among the largest in the world.These features, plus gravimetric anomalies in the area, suggest that the region may become an important source of geothermal energy.Direct hydrothermal alteration mapping in the island is difficult since it is a National Park and a bird sanctuary where various bird species thrive.We used remote sensing techniques to identify hydrothermally altered sections in the island, including radiometric spectrum determinations in the 350-1050 nm wavelength interval and Landsat 8 satellite imagery.The island is mainly composed of basalt but large portions contain vegetation, posing a challenge to satellite hydrothermal alteration detection.Four pixel-classification schemes are used for oxides, hydroxyls, and vegetation; shallow underwater basalt flow detection was possible.
Image Purification Technique for Myanmar OCR Applying Skew Angle Detection and Free Skew

Optical Character Recognition (OCR) is a technology widely adopted for automatic translation of hardcopy text to editable text. The language dependence of the technology makes it far less developed for less popular languages like Myanmar language. Also, the uniqueness and complexity of the Myanmar text system such as touching and complex characters have continued to pose serious challenges to several OCR investigators. In this paper, we propose a new technique to development Myanmar OCR system. Our technique implement skew angle detection and free skew, noisy border correction, extra page elimination, line segmentation from scanned images of Myanmar text. Performance of the proposed method is tested with 430 documents comprising different printed and handwritten Myanmar text of various fonts, sizes, multi-column, tables, stamps or photos, background effects. Our method give an accuracy of 100% for line segmentation and 99.92% for skew angle detection and free skew. The ability of our method to effectively implement global and local skew angle detection, free skew and line segmentation in different handwritten and digital text images of the Myanmar character set with high accuracies confirms the robustness of the technique, its reliability and its suitability for application in many other related languages.
Unification in first-order transitive modal logic

We introduce unification in first-order transitive modal logics, i.e. logics extending Q–K4, and apply it to solve some problems such as admissibility of rules. Unifiable formulas in some extensions of Q–K4 are characterized and an explicit basis for the passive rules (those with non-unifiable premises) is provided. Both unifiability and passive rules depend on the number of logical constants in the logic; we focus on extensions of Q–K4 with at most four constants |$\top ,\bot ,\Box \bot ,\Diamond \top$|⁠. Projective formulas, defined in a way similar to propositional logic, are used to solve some questions concerning the disjunction and existence properties. A partial characterization of first-order modal logics with projective unification is given. Then logics with filtering unification are characterized and the unification type of certain logics extending Q–K4.2 and Q–K4.3 is settled. To this aim the weak existence property is adapted for first-order modal logics.
How Edge Computing Transforms the Security of Cloud Computing

These days, network administrators are interested in delivering high performance network cores and edges, ensuring optimal visibility of services and simultaneously reducing to minimum the IT risk against network downtimes. The edge computing’s distributed architecture is an alternative to reduce the number of attack vectors. Transform network cloud services in edge computing components of cloud is fundamental because it is the best fit for latency-sensitive microservices. Identity enforcement/validation, for example, is a latency-sensitive task that all SECaaS applications could run at the edge for a superior end user experience. The ability to run latency-sensitive microservices may spawn a new generation of apps that will be developed with end-user proximity/location as a crucial design element. As a beginning point, to start the development of these new technologies, it is important the design of new models of analysis.
Peculiarities of Leadership Potential Development in Educational Environment

The problem of leadership is actualized everywhere, the society needs competent and active specialists who are able to take decisions independently, ready to assume responsibility for their implementation. Specialists can clearly define the goals of their activity, predict the options for achieving it, analyze the course and results, overcome difficulties, and also know how to properly build relationships with other people, work in a team, that is, show leadership qualities. The authors consider the main concepts and approaches to leadership. The methodological basis for this is the interdisciplinary and comprehensive approaches, practical usefulness principles focusing on students’ personal qualities. The article considers the influence of personal reference points on development of leadership qualities in the educational environment on the example of Tomsk State University of Control Systems and Radioelectronics (TUSUR). Practical significance of the work lies in the fact that the most important role in the stage of formation and development of youth as groups is played by the leaders - students who ensure the success of group activity by their behavior, mobilizing influence on others, initiative, efforts to achieve educational and educational tasks. The authors conclude that extracurricular activities of universities are the most important components of training specialists. It allows students to form a conscious civic position, the desire to preserve and multiply moral, cultural and universal values, develop skills of constructive behavior.
Evolution of the Russian citation index as science sociology context

An area of research in the present article is process of obtaining new scientific knowledge in the Russian Federation. The factor of influence of institutes of a citation index on efficiency of scientific and technical progress acts as an object of a research. The main results of the conducted research are the sentences on saving of level of motivation of all categories of researchers consisting in implementation of full indexation of content of a scientific digital library of eLIBRARY.RU taking into account the available stratification, but, at least, with saving of full statistics of citings for the lower stratum now excluded.
A Universal Two-Dimensional Source Coding by Means of Subblock Enumeration

The technique of lossless compression via substring enumeration (CSE) is a kind of enumerative code and uses a probabilistic model built from the circular string of an input source for encoding a one-dimensional (1D) source. CSE is applicable to two-dimensional (2D) sources, such as images, by dealing with a line of pixels of a 2D source as a symbol of an extended alphabet. At the initial step of CSE encoding process, we need to output the number of occurrences of all symbols of the extended alphabet, so that the time complexity increases exponentially when the size of source becomes large. To reduce computational time, we can rearrange pixels of a 2D source into a 1D source string along a space-filling curve like a Hilbert curve. However, information on adjacent cells in a 2D source may be lost in the conversion. To reduce the time complexity and compress a 2D source without converting to a 1D source, we propose a new CSE which can encode a 2D source in a block-by-block fashion instead of in a line-by-line fashion. The proposed algorithm uses the flat torus of an input 2D source as a probabilistic model instead of the circular string of the source. Moreover, we prove the asymptotic optimality of the proposed algorithm for 2D general sources.
Calibration of a panoramic 3D reconstruction system

Owing to their large field of view, a catadioptric imaging system is widely used in several research areas, including robot navigation, surveillance, and three-dimensional (3D) reconstruction. The modelling and calibration of these systems allow the accurate measurement of objects. This paper presents a calibration method for a panoramic 3D reconstruction system based on pattern projection composed of two modules. The first module, which contains a charged coupled device camera and a parabolic mirror allows the acquisition of catadioptric images. The second module is a catadioptric projection system made of a light projector and a parabolic mirror that generates a projected pattern over the target for reconstruction purposes. Both the modules are calibrated independently. The method achieves a reprojection error of 0.6 pixels in the camera module and 1.2 pixels in the catadioptric projection system. To evaluate the performance of the proposed method, the results show 3D reconstructions of multiple objects with tolerances around 1.3 mm.
Genetic K-Means Clustering Algorithm for Achieving Security in Medical Image Processing over Cloud

In healthcare domain, there is persistent pressure to improve clinical outcomes while lowering costs. In this respect, healthcare organizations can leverage cloud computing resources to avoid building an expensive in-house data center. More specifically, this new trend offers the opportunity to rent the use of imaging tools in order to process medical records. Additionally, cloud billing is based on a pay-per-use model to achieve cost savings. However, security and privacy concerns are the main disadvantages of cloud-based applications, especially when it comes to managing patients’ data. The commonly used techniques for protecting data are homomorphic algorithms, Service-Oriented Architecture (SOA) and Secret Share Scheme (SSS). These traditional approaches have some limitations that provide a boundary to its use in practice. Precisely, the implementation of these security measures in cloud environment does not have the ability to maintain a good balance between security and efficiency. From this perspective, we propose a hybrid method combining a genetic algorithm (GA) and K-Means clustering technique to meet privacy and performance requirements. This approach relies on distributed data processing (DDP) to process health records over multiple systems. Consequently, the proposal is designed to help protect clients’ data against accidental disclosure as well as accelerating the computations.
Saliency-Driven Variational Retargeting for Historical Maps

We study the problem of georeferencing artistic historical maps. Since they were primarily conceived as work of art more than an accurate cartographic tool, the common warping approaches implemented in Geographic Application Systems (GIS) usually lead to an overly-stretched image in which the actual pictorial content (like written text, compass roses, buildings, etc.) is un-naturally deformed. On the other hand, domain transformation of images driven by the perceived salient visual content is a well-known topic known as “image retargeting” which has been mostly limited to a change of scale of the image (i.e. changing the width and height) rather than a more general control-points based warping. In this work we propose a variational image retargeting approach in which the local transformations are estimated to accommodate a set of control points instead of image boundaries. The direction and severity of warping is modulated by a novel tensor-based saliency formulation considering both the visual content and the shape of the underlying features to transform. The optimization includes a flow projection step based on the isotonic regression to avoid singularities and flip overs of the resulting distortion map.
About 5–6 grades students preparation for participation in competitions and contests in mathematics

this article identifies and characterizes the pedagogical conditions for the organization of project activities in a modern primary school. In the analysis of scientific literature the author highlights the benefits of project activities, as well as the typical mistakes of teachers in the formation of project activities. The work also describes the pedagogical conditions.
Language and Visual Communication

This chapter examines how multimodality works language and visual cues together to achieve effective intercultural marketing communication. Language symbols are used as a primary means of communication in TV and radio. Commercial advertisers never forget to use visual communication to persuade consumers. Customers usually use the combined resources such as language (e.g., spoken and written) and visual cues (e.g., colours and signs) to interpret meanings. A qualitative approach is used in this project. Data including written texts and visual images are collected from many sources and critically analyzed with reference to relevant theories. It is concluded that both language communication and visual communication play their role in advertising and their combined communication power is greater. The research outcomes will help business operators and managers understand how culturally appropriate language and visual communication can promote the advertised services and sell their products, thus achieving business success and customer satisfaction.