Reviewerly/exHarmony huggingface dataset:
A Journey from Virtual and Mixed Reality to Byzantine Icons via Buddhist Philosophy

In the context of contemporary digital art and documentary making, practitioners are discovering the possibilities given by emerging image-based immersive practices, techniques and tools (360-degree video and photography; virtual, augmented, and mixed reality) to wrap viewers in the image and to blur the distance between viewer and viewed, 'self' and 'other'. Challenging the distinction between presence and absence and between body and mind, these practices also seem to attack another set of divides, i.e. between past and present, here and there. An intrinsic part of late-modern, industrial, capitalist societies new experiences in immersive visual documentary and art (MR and VR especially) contain traces of continuity with the visualities that characterise other (non-modern) places and times. They share some of the core principles that characterise the visuality of, for instance, Byzantine icons, as well those of Hindu popular religious art. Based on the concrete analysis of a selected number of examples gathered form the world of contemporary MR and VR performance art this article suggests that art is always the result of a dialogue across the elsewhere and the 'elsewhen'. Underpinning this article is also the idea that an act of decolonisation of knowledge, enacted by means of the use of categories imported from other epistemologies (such as Byzantine and Hindu image theory as well as Buddhist philosophy) can help us look at contemporary emerging arts and documentary practices with new eyes.
The Effects of Pre-service English Language Teachers’ Making Vocabulary Learning Materials in Web-Supported Situated Learning Environment on Their Vocabulary Learning

The aim of this study was not only to help pre-service English language teachers (PS-ELTs) to design vocabulary learning materials for a web-supported situated learning (SL) environment but also to have them learn the vocabulary they used to prepare those materials in the web-supported SL environment. Also, the effects of this process on the PS-ELTs&amp;rsquo; academic achievement, self-efficacy beliefs in designing situated learning environments (SEB-SLE), and technological pedagogical content knowledge self-confidence (TPACK-SC) were revealed. One of the advanced mixed-method designs, intervention design, was employed, and 56 PS-ELTs participated in the study. The data were collected via quantitative measurements (two scales, a vocabulary achievement test) and qualitative measurements (student diary, online messaging logs, open-ended interview form, and focus group interview records). For the quantitative data, independent samples t-test, related-samples t-test, and 2X3 repeated measures ANOVA test were used; for the qualitative data, content analysis. The results showed that there was a significant difference between the within-group gain scores and retention test scores in terms of the vocabulary achievement test and the SEB-SLE scale. However, despite a significant difference in the within-group gain scores in terms of the TPACK-SC scale, no significant difference was found between the post-test and retention test scores. Moreover, although both groups revealed no significant differences in the scores of the vocabulary achievement test and the TPACK-SC scale, the scores of the SEB-SLE scale showed a significant difference in favor of the treatment group. Related to the procedure, PS-ELTs highlighted that preparing vocabulary learning materials according to the web-supported SL model had a considerable effect on their vocabulary learning. Besides, the application process supported permanent learning and vocabulary knowledge development. What is more, the procedure helped them gain critical thinking, problem-solving, synthesis, and research skills as well as improving their TPACK.
ANALYSIS OF FINDING SUFFIX AND PREFIX IN NARRATIVE TEXT

This study is about the analysis of finding suffix and prefix in narrative text. The problem of this study are “What kinds of suffix are found in narrative text?” and “What kinds of prefix are found in narrative text?” This study attempts to find out kinds of suffix are found in narrative text and to find out kinds of prefix are found in narrative text. For acquiring the data, the students are tested. The subjects in this study is seventh grade SMP Sw. Puteri Sion Medan. This study was conducted by using descriptive qualitative design to analyze suffix and prefix in narrative text. The finding of this research showed that the average score is 77,61. The students’ classify of ability was found that the percentage of 8 students with criteria as excellent was 38,09%, the percentage of 10 students with criteria very good was 47,61%, the percentage of 3 students with criteria good was 14,28%.
The effect of total quality management on marketing educational services in Saudi universitie

This study aims to identify the effect of Total Quality Management (TQM) on the marketing of educational services, by examining the views of employees at Prince Sattam bin Abdulaziz University and customers on the quality of services provided at the university and its relationship to marketing.The researcher used some descriptive analytical method to examine the hypotheses.In this study, two questionnaires were used: The first questionnaire was directed to university employees, and the second one was directed to customers.For testing these hypotheses, 100 questionnaires were distributed to the entire study group samples, which were retrieved.Consequently, the study group sample consisted of 100 individuals and staff from Prince Sattam bin Abdulaziz University.The study found that there was a positive perception among the sample units about the impact of TQM on the marketing of educational services.The study concluded with several recommendations, the most important of which was focusing on paying more attention to the internal public of the university and developing the spirit of one team and working to enhance the spirit of trust with them.
OOAD-BASED MONITORING INFORMATION SYSTEM IN SOFTWARE PRODUCTION MAKING IN PT. XYZ

&lt;strong&gt;&lt;em&gt;Abstract &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;PT. XYZ is a company engaged in making software that involves both the owner and employees in their activities. This privately-owned company operation includes the functions of project managing, system analysis to programming with work ranging from receiving proposals, collecting user requirements documents, design, user acceptance tests to deployment. The overall function of the work requires centralized overall monitoring where inputting can be done by many people while the management can be carried out by certain personnel only. The research methodology used is descriptive based on object-oriented analysis and design. The results of this study are the design of information systems based on object-oriented analysis and design that are ready to use in their implementation into the program code. The results are expected to be used by PT. XYZ and other companies engaged in similar services in monitoring projects that are in progress&lt;/em&gt;
Recovery and Concurrency Challenging in Big Data and NoSQL Database Systems

Big data is becoming a very important concept nowadays as it can handle data in different formats and structures, velocity, and huge volume.NOSQL databases are used for handling the data with these characteristics as traditional database can't be used in managing this type of data.NoSQL database design is based on horizontal scalability with the concept of BASE which supports eventual consistence and data is considered in a soft state and basically available.Although NoSQL has a lot to offer when used in big data it is still not mature enough and faces some challenges including low join performance, concurrency control and recovery.Not only this but also it is very challenging for organizations to know which NoSQL data model to use and how does it fit with its organizational needs.This paper mainly displays the different NOSQL data models and the opportunities and challenges alongside with some techniques for handling these challenges.
Application of Mobile Phone as a Motivational Tool in the ESP Classrooms of Dhofar University

The present paper investigated the factors of motivation and the role of teachers in motivating English language learners in the ESP classes of Dhofar University as well as the significance of motivation in teaching and learning through mobile application technology. Mobile phones are handy devices that are readily available with all the students in universities and colleges nowadays. Furthermore, the innovative use of mobile applications and internet technology is very common among the undergraduate students. This paper is a detailed description of some of the teaching strategies employed through mobile phones to motivate the students who have very low level of motivation. Since lack of motivation among students is a common challenge faced by most of the ELT teachers in their classrooms, practical solutions centred on mobile applications is the focus of this study. Furthermore, supplementing classroom practices with mobile application technology can promote learner autonomy and peer learning opportunities within the classroom resulting in a visible rise in the motivational graph of the whole class. This paper is also a practical account of how mobile applications can be integrated into classroom teaching without affecting the traditional syllabus of a conventional university curriculum.
Temperature Distribution and Heat Flow Density Estimation in Geothermal Areas of Absheron Peninsula

Geothermal field of the Pliocene complex in the Absheron peninsula, Azerbaijan have been examined on the basis of temperature distributions in over 50 deep wells. Data analysis include variations in geothermal gradient and distribution of heat flow within complexes of Absheron formation of upper Pliocene in age. Geothermal gradients are in the range of 17 to 25oC/km. The heat flow values are found to fall in the range of 50 to 80mW/m2. Estimates have been made of geothermal energy resources up to depths of 6000 meters. The main productive strata are of middle Pliocene in age. The results have allowed identification of geothermal resources with temperature above the 20°C and at depths less than 110-180 meters. Assessments of in-situ and recoverable resources have been made for 21 sites. Model simulations point to perspectives for widespread utilization of geothermal energy in the Absheron peninsula.
Role of Statistical Parameter in Digital Image Enhancement

There are several domains like medical, astronomical, hybrid techniques, remote sensing, pattern recognition, high resolution display etc., in which people want to get an image and store it so that the images may be used to extract some valuable information using image quality features in the future.Image quality estimation aims to evaluate the image information automatically by a computational model hence plays a significant role in digital image processing systems.In this paper to meet the need of accuracy and effectiveness for gray scale images, role of various image enhancement quality features are discussed.
Key Competences of Foreign Language Teachers in 21st Century

The article aims at exploring key competences of a foreign language teacher in the 21st century influenced by modern tendencies in education and the globalized world. The research findings are based on an in-depth analysis of several Russian and foreign approaches to teaching quality assessment as well as the essays on the topic “Teachers of the Future” written by master program students at Moscow Pedagogical State University in 2019. The author also suggests several teaching methods that are aligned with pedagogical axiology. They will help specialists to comply with modern and future professional requirements.
Fibonacci Technique for Privacy and Security to Sensitive Data on Cloud Environment

Cloud computing is increasingly popular in the distribution of the computing environment.Process and implement cloud storage data to become a global movement.Software as an organization Software as a Service (SaaS) has many commercial applications and in our day to day, we can only say that it is disruptive technology [1].Data security has become a major problem in the field of cloud ecosystems because data is available in various parts of the world to access the Internet for free as it progresses.The global security record for mid-2018, with a cloud data migration of approximately 86.67%, a global analyst estimates that this range can be 100% [8, 9]. Change the data of two or more people, so that unauthorized people can access real data.There are many different ways to perform this conversion, but the method there has proposed a text input method so that the recipient can access the original information.Encryption has become a solution and alternative encryption algorithms play an important role in the security of data in the cloud.In this process, the process investigation operation is designed to obtain data to avoid breaking an unauthorized person.In this way, you can protect any type of files using the Fibonacci series.The proposed algorithm s is encryption and decryption process takes a less of time compare with other traditional security algorithms.
Correction to: Electrogastrogram Based Medical Applications an Overview and Processing Frame Work

The original version of the book was inadvertently published with the author's name as 'Ahmad A. Al-Tae' in chapter 50, which has now been changed to 'Ahmed Al Taee'.
Underwater image conversion method based on multi-layer plane refraction model with light field processing method

Abstract In order to adopt the conventional visual measurement technology to underwater application, this paper proposes an underwater image conversion method based on a multi-layer plane refraction model, which converts the underwater image into an air image. First, under the multi-layer plane refraction model, the imaging process of the underwater camera is modelled in the form of a four-dimensional light field parameterization, and the direction vector of the air image is calculated using the light field direction information. Then, the perspective projection transformation is used to obtain the corresponding pixel coordinates of the direction vector and the image plane. Finally, the transformed air image is obtained by interpolation method, using the mapping relation of the corresponding image point coordinates before and after the transformation. Simulation and experimental results show that the average error of the corrected image is 0.56 pixel, and the high-precision air image provides strong support for subsequent underwater 3D reconstruction.
Research on the Design of Puzzle Games Based on Unity 3D

The last century was a period of rapid development of the Internet, along with the development of a variety of games. In the years that followed, the game gradually became one of the most important economic pillars in various developed countries. At the same time, following the trend of The Times, more and more game experiences reflect contemporary culture profoundly, allowing people to feel the changes and experiences of culture at any time. Game culture has gradually become a part of social culture and an important culture that affects people's lives. Puzzle games can promote brain thinking and enhance the skills in five cognitive domains: memory, language, attention, logical reasoning, visual and spatial recognition. For teenagers whose brains are not fully developed, playing games is a kind of training, which can improve the brain activity as much as possible. Based on the currently widely used Unity3D game engine as the development tool, this paper designs and implements a puzzle game GEM WAR. It is demonstrated in the form of strategic troop deployment by both sides, and improves the gameplay by adding the principle of mutual restraint between arms. Block surface game style, cartoon character image, more can attract the player's eyeball, and make this puzzle game more attractive.
New Steganalytic Features for Spatial Image Steganography Based on Non-negative Matrix Factorization

The traditional steganalysis feature extraction method can be mainly divided into two steps. First, the residual image is calculated by convolution filtering, and then the co-occurrence matrix of residual image is calculated to obtain the final feature. Previous work calculates the residual image usually through a set of fixed high-pass filter or a manually designed residual sub-model, and does not utilize the consistency between pixels in the local area of the natural image. In this paper, we propose the Non-negative Matrix Factorization (NMF) based steganalysis feature extraction method for spatial image. Considering the number of pixels used by NMF for prediction and its positional relationship with the predicted pixels, a plurality of sets of residual sub-models for acquiring residual images are designed; and then, a new residual combination method is proposed, combining Local Binary Pattern (LBP), co-occurrence matrix and other statistical information, and the parameters in feature extraction is optimized. Finally, we compare the performance of the designed features with existing steganalysis features and analyze the validity of the designed features. In addition, we combine the existing artificially designed spatial steganalysis features with the designed features and analyze the validity and complementarity of each type of features, such as Spatial Rich Model (SRM) and Threshold LBP (TLBP).
Adaptive mobile application for the CATS learning system

Using mobile devices around the world has already become commonplace. There are a huge number of applications that greatly simplify everyday life: from simple planning of actions and events to paying for goods by simply touching the terminal with a mobile device. That is why the problem of introducing a mobile training application into the educational process is quite relevant. The purpose of this study is to increase the efficiency of the learning process through the use of the adaptive mobile application CATS. The proposed adaptability algorithm will allow you to create a unique training program that will build on existing knowledge and the level of perception of learning material for students. It is proposed to use the analysis of expert systems as mathematical methods. By formalizing the intellectual processes that are carried out by both the teacher and the student, it is possible to automate a certain part of the teacher’s functions, reduce manual labor costs, which will make it easier to control the educational process, as well as make the learning process more effective. The software of the mobile application was created in the environment of Microsoft Visual Studio Community (Mac) in C# programming language and Xamarin framework. The proposed development is implemented in the educational process of the Belarusian National Technical University, covers all the main components of the learning process, including working with electronic educational and methodical complexes, passing tests, downloading the required information. The mobile application allows you to adapt to various sizes of devices, implemented using modern technologies with adaptation for Android and iOS operating systems.
Analisis Literasi Keuangan Mahasiswa di FKIP UNIS Tangerang

The purpose of this study was to determine the level of financial literacy in students and find out what factors influence financial literacy in students of Economic Education, Faculty of Teacher Training and Education, Islamic University of Syekh-Yusuf. This study uses descriptive analysis and the Multinominal Logit Test analysis method, with a sample of 116 taken using proportional random sampling in Economics Education students at the Faculty of Teacher Training and Education at the Islamic University of Syekh-Yusuf Tangerang by collecting data using a questionnaire.The results showed that the level of financial literacy of Economic Education students was in the moderate or sufficient category 63,8%. Besides the factors owned by students, namely GPA, education to fathers and parents' income have an influence on financial literacy. While other factors such as gender, class, place of residence, and mother's education level do not have an influence on financial literacy. DOI: https://dx.doi.org/10.17977/um014v13i12020p018
The enhancement of logging system accuracy for infrastructure as a service cloud

We introduce the novel technical results of the enhanced logging system for customer virtual machines (VMs) in an Infrastructure as a Service (IaaS) cloud. The main contribution is that the enhanced system can work with a better system's accuracy and speed, with the simplicity of the design and implementation. We measure the accuracy of the unenhanced logging system, then find a quick solution to enhance the system based on the results of the measurement. To measure and enhance the unenhanced system, we increase the main memory and CPU cores of the VMs then collect the accuracy results from each increment configuration. We analyze the results and propose to use the taskset tool to enhance the accuracy of the system. Found three main findings include: firstly, the accuracy of the enhanced system is about 20% on maximum better than the unenhanced one; the enhanced system accuracy becomes 100%; lastly, the enhanced system can detect a file with the smaller file size as almost 12% smaller. The findings can be a basis to design the logging systems in an IaaS cloud, to decrease hardware and energy investment. To the best of our knowledge, the contribution and findings are not in the literature.
THE METHODOLOGY FOR DEVELOPING WEB APPLICATIONS ON THE PLATFORM ASP.NET CORE

The stack of web technologies today is very diverse. When choosing tools for developing a highly loaded web portal, it is important to pay attention to many factors, for example: modularity, the ability to deploy in the cloud, dependency injection, and so on. The technique of using the cross-platform .NET Core environment for developing large web portals and web services is considered.
HIERARCHY OF NEEDS ANALYSIS OF THE MAIN CHARACTER OF A NOVEL ENTITLED FLAWED BY CECELIA AHERN

This undergraduate thesis is entitled Hierarchy of Needs Analysis of The Main Character of A Novel Entitled Flawed By Cecelia Ahern. This study is intended to find out what are the hierarchy of needs that have been fulfilled by the main character and how the main character fulfilled the hierarchy of needs. The data were taken from the novel Flawed written by Cecelia Ahern. The researcher used qualitative and descriptive method in analyzing the hierarchy of needs. In this research, the researcher found 10 data of physiological needs, 34 data of physiological needs, 52 data of love and belonging needs, 44 data of self esteem, and 24 data of self actualization. Based on Maslow’s theory, there are five level of hierarchy of needs that the main character can satisfied.
Organizational Intelligence: Ontological Modeling of Skills

&lt;p class="0papertitle"&gt;In both the private and public sectors, human resource management processes face considerable challenges in terms of skills management within organizations. In fact, during the recruitment process, it is difficult to find the right profile for certain functions. To cope with this constraint and thus streamline this process, organizations tend to implement intelligent management of jobs and skills. Most systems of matching a job with a profile face the difficulty of developing and maintaining resources specific to each field. In view of this, ontologies are not only a tool for professional management and strategic management of human resources, but they also make it possible to base the relationship between the couple job / profile. Thus, we propose a construction approach of three ontologies that will play a key role in knowledge management in the context of the Secrétariat Chargé De L’eau but which remains valid for later use in broader contexts.&lt;/p&gt;