Reviewerly/exHarmony huggingface dataset:
Systematic Literature Review: Causes of Rework in GSD

Global Software Development (GSD) involves multiple sites which comprise of different cultures and time zones apart from geographical locations. It is a common software development approach adopted to achieve competitiveness. However, due to multiple challenges it can result in misunderstandings and rework. Rework raises the chance of project failure by delaying the project and increasing the estimated budget. The aim of this study is to identify and categorize the rework causes to reduce its frequency in GSD. To identify the empirical literature related to causes of rework, we performed a Systematic Literature Review (SLR). A total of 23 studies are included as a result of final inclusion. The empirical literature from the year 2009 to 2020 is searched. The overall identified causes of rework in GSD are categorized into 6 major categories which are communication, Requirement Management (RM), roles of stakeholders, product development/integration issues, documentation issues, and differences among stakeholders. The most reported rework causes are related to the category of communication &amp; coordination and RM. Moreover, an industrial survey is conducted to validate the identified rework causes and their mitigation practices from practitioners. This study will help practitioners and researchers in addressing the identified causes and therefore reduce the chances of rework.
Environmental, economic and energetic benefits from implantation of several modes of solar collector movements

In this research, the performance of a moving solar system on two axes was studied, the east-west axis, this axis represents the tilt angle of the solar collector. The other movement is the surface's rotation around the perpendicular axis on the surface in the east and west directions, which in turn represents the azimuth angle of the solar collector. All possibilities for these movements were also studied, in order to reach the optimal option, which in turn depends on the importance of alication and the available space on the one hand, and the economic conditions on the other hand. The maximum value of solar radiation intensity was adopted as a guide to compare the performance of six options for tracking systems. Despite the high costs of tracking systems, they often have a positive economic return, as these systems increase the efficiency of the solar system, whether it is electric or thermal twice, the first one by increasing the intensity of the solar radiation incident on the solar collector, and the second one by increasing the optical efficiency of the solar collectors and thus increasing the overall efficiency of the device. The percentage of increase in the sixth type of solar energy is about 38% compared to the fixed mode. The minimum optical efficiency of the dual tracking mode has been found as 84%, while for fixed mode is about 48%.
Always the eBook of the Future

In their third decade, depending on one’s definition, eBooks are still in their incunabula moment. While eBooks began to emerge prior to the year 2000, they began to garner a more robust market after the launch of Amazon’s Kindle and Apple’s iPhone, both in 2007, and Apple’s iPad in 2010. At least by some measures, eBooks today are thriving, and are bound to continue to evolve, just as publishing itself has evolved over more than five centuries. This article examines the current state and potential future of digital publishing, including enhanced eBooks, hypertext, interactivity, artificial intelligence, augmented reality, data- and gesture-based manipulation, and other evolutionary features that transform the eBook into a fundamentally different, immersive experience in reading and engagement.
IMAGE RETRIEVAL BASED ON DISCRETE CURVELET TRANSFORM

Content-Based Image Retrieval (CBIR) is a process of searching for an image according to the content or feature that is within it. Nowadays, most image retrieval applications have been developed to meet these needs, so this application will provide comfort in introducing and searching for an image. This paper proposed a standard structured framework with three stages: Preprocessing is the first step, in which noise from images is removed using various filters. The filters' results are compared to determine the best and most appropriate filter for the images. Feature Extraction of images using Curvelet Transform is the second stage. The third stage includes similarity measurement between query image features to database image features and extracting the identical image from the image dataset. The system was performed using Matlab 2017b, GUI and, with ten different classes of 1000 images using a coral database. The results show improved performance of precision and recall when higher decomposition levels are used.
The Influence of the Scientific-Based Self-Regulated (SBSR) Bilingual Module in Improving Students’ Knowledge

The objectives of this study were 1) to find out whether there was an influence of the learning of the scientific-based self-regulated (SBSR) bilingual module in improving the cognitive abilities of the tenth grade students of Biology subjects, and 2) to find out how the percentage comparison of the influence between the learning of scientific-based self-regulated (SBSR) bilingual module class with conventional learning class in improving cognitive of the tenth grade students of Biology subjects. The research method used the quasi-experimental using the non-equivalent control group design. The data was analyzed through paired sample t test and omega index. The results of this study showed that 1) there was an increase in cognitive ability of the tenth grade students through the use of the learning of scientific-based self-regulated (SBSR) bilingual module on Biology subject. 2) There was an increase in cognitive ability of the tenth grade students through the conventional learning on Biology subject, and 3) the percentage of SBSR bilingual module influence was higher (60%) compared with conventional learning class with discovery learning influence (4.7%) in improving students' cognitive.
In-Door Surveillance Module Based on an Associative Memory

Most recent studies have focused on using modern intelligent techniques especially those developed In-Door surveillance systems.Such techniques have been built depending on modern Artificial intelligence-based modules.Those modules act like a human brain, they learn and recognize what they learned.The importance of developing such systems came after the requests of customers and establishments to defend their properties and avoid Intruders' damages.This would be provided by an intelligent module that ensure the correct alarm for correct non-secured state, Thus, an Indoor surveillance module depending on Multi-Connect Architecture Associative Memory (MMCA) has been proposed.This proposed system can be trained for more than to shoot.Thus the module can recognize more than one true state that might be secured or non-secured states in real-time.The current study found an accepted accuracy level between (62.778.8%) at first training cycle with two images.While the final result were between (97-100%) at the fifth training cycle with (10) images.It considered a high performance and very excellent results.
Pelatihan Optimalisasi Sumber Dan Bahan Ajar Online Sebagai Penunjang Pembelajaran Bagi Anak Asuh Panti Asuhan Arridho

In accordance with the decision of the Minister of Education and Culture of the Republic of Indonesia regarding Circular Letter Number 4 of 2020 concerning the Implementation of Education Policies in the Emergency Period for the Spread of Covid-19 where the Learning from Home Process is carried out through online / distance learning. In its implementation, the online learning process raises new problems including the location of teachers and students being separated when carrying out learning, making teachers unable to directly monitor student activities during the learning process and some of the students have difficulty in accessing, obtaining learning resources and media. to support understanding of the material being studied. Various initiatives were taken to ensure that learning activities continued even in the absence of face-to-face sessions. Technology, more specifically the internet, smartphones, and laptops are now widely used to support distance learning. In order to meet the needs of participants' understanding of learning resources, it is deemed necessary to have training on Optimizing Online Teaching Resources and Materials as Learning Support for Ar Ridho Orphanage Fosters who are able to provide explanations and understanding of how to get learning resources by utilizing online media. The purpose of this training is that it is hoped that the training participants consisting of students will be able to add various reference sources and teaching materials needed and make it easier for them to understand learning materials and use them to support the online learning process.&#x0D;
VIRTUAL REALITY OR REALITY: CONTENT IS ALWAYS KEY TO ENJOYMENT, UNDERSTANDABILITY AND COMPREHENSION

This article presents a new approach to bring virtual reality into the marketing classroom. Our study adds to the literature by testing two different types of virtual reality content and showing the importance of content in producing desired educational outcomes. We also extend past research by suggesting specific processes and resources for adapting virtual reality to the marketing curriculum. Virtual reality has not been widely applied to core marketing curriculum, particularly global marketing. The medium is especially suited to global marketing, since success in the area depends on understanding foreign environments. Our new approach uses two types of virtual reality videos, an educational video on South Sudan and advertisement for Toms Shoes, to teach global marketing concepts. We investigate the impact of this approach in a study with 100 students and find that the VR vs. non-VR format has a significantly positive impact on enjoyment. In addition, the Toms VR video scores significantly higher than the South Sudan VR video on enjoyment, content understandability, and comprehension. Our results point to the importance of content in creating educational materials in any format, and suggest a particular need to develop virtual reality materials which align with learning objectives in the marketing curriculum.
INTERCONNECTION OF INFORMATICS AND MATHEMATICS IN SCHOOL AT AN EARLY STAGE OF STUDY

The relevance of the chosen research topic is to highlight the issue related to the formation of algorithmic thinking in primary school students in computer science lessons. The aim of the article is to identify the role of computer science and mathematics in the formation of algorithmic thinking style. To achieve this goal, the following methods were used: analysis, comparison, observation, synthesis. Statistical data processing was also used. The article states that the basis for algorithmic thinking is the formation of mathematical competence of junior high school students. In computer science lessons, students apply the acquired knowledge of mathematics by practical methods. Therefore, the appropriate level of students’ knowledge of mathematics is important. The article presents a table of success levels in mathematics and computer science for third and fourth graders of one of the primary schools in Uzhhorod. The level of success in studying mathematics was compared with the level of success in studying computer science by third-graders and similarly by fourth-graders. When comparing the two empirical distributions, we used the two-sample Kolmogorov-Smirnov agreement criterion. We have shown that the selected general populations are stochastically equivalent. Comparing the results of educational achievements in computer science and mathematics of students of 3rd and 4th grades, we came to the conclusion that the formation of mathematical competence helps in solving problems in computer science lessons that require logical thinking and algorithmic skills. We believe that more attention should be paid to the study of the basics of programming in school, the development of logical and algorithmic thinking in mathematics and computer science, as well as in elective classes.
Communication Strategies Used by Papuan EFL Students

&lt;p class="AbstractText"&gt;To fill the absence of research in the context of communication strategies used by Papuan EFL students, this research would present and fill this knowledge gap. This research aimed to determine the types and their reasons of communication strategies used by Papuan EFL students. It applied qualitative study. The researcher used observation and interview as the research instruments. It was found that Papuan EFL employed fillers, code-switching, self-repetition, self-repair, asking for clarification, asking for confirmation, and direct appeal for help. The reasons why Papuan EFL students do those communication strategies because of thinking time, anxiety, nervousness, doubt, worriedness, hesitation, lack of knowledge, lack of vocabulary, grammatical errors, and self-confidence.&lt;/p&gt;
Feedback As A Means Of Motivation In Foreign Language Teaching

The paper presents the results of an analytical review on the problems of keeping and advancing academic motivation.It has explored the issues of general academic motivation and those for FL learning comprising Motivation for Communicative Competence, Cognitive Linguistic Motivation, Instrumental Motivation.The study has as its purpose to find out the correlation between subtypes of educational feedback and different varieties of motivation specific to FL learning and to define its influence on students' performance in FL learning while advancing further development.A mixed-methods research approach allows surveying how educational feedback made by teachers affects students' performance in FL learning.The study encompasses the responses from 300 students from the Universities of Novosibirsk, Russia.The paper focuses on those factors that students consider the gravest when advancing motivation for FL learning.The study explores the role of an FL teacher and his/her professional communication style in maintaining and developing subject study motivation.
Deep Learning Based Classification of Time Series of Chaotic Systems over Graphic Images

Abstract In this study, for the first time in the literature, identification of different chaotic systems by classifying graphic images of their time series with deep learning methods is aimed. For this purpose, a data set is generated that consists of the graphic images of time series of the most known three chaotic systems: Lorenz, Chen, and Rossler systems. The time series are obtained for different parameter values, initial conditions, step size and time lengths. After generating the data set, a high-accuracy classification is performed by using transfer learning method. In the study, the most accepted deep learning models of the transfer learning methods are employed. These models are SqueezeNet, VGG-19, AlexNet, ResNet50, ResNet101, DenseNet201, ShuffleNet and GoogLeNet. As a result of the study, classification accuracy is found between 96% and 97% depending on the problem. Thus, this study makes association of real time random signals with a mathematical system possible.
A Study on Fraud Prevention and Detection Methods in Sri Lanka

Forensic accounting is emerging area in countries like Sri Lanka even though it came up many years ago. Corporate frauds have been increasing worldwide, emphasizing the needfulness of forensic accounting and it has become a great opportunity for accountants and other professionals to think beyond the traditional framework. This study examines the perception of accounting professionals regarding the occupational fraud prevention and detection methods and software used in Sri Lanka. The survey was conducted using hundred accounting professionals of Sri Lanka. The results reveal that password protection, external audits, bank reconciliations and internal control review are quite common in use while bank reconciliation, cash review and password protection are also highly employed methods to detect occupational frauds. However, fraud hotline, forensic auditing and forensic accountants are identified as the least used methods. Further, filtering software, virus protection and firewalls could be identified as the commonly used fraud prevention and detection software used in Sri Lankan context. Implementation of effective fraud preventing and detecting methods, software is highly recommended on preventing and detecting corporate frauds in Sri Lanka.
A 28.8mW Accelerator IC for Dark Channel Prior Based Blind Image Deblurring

Image deblurring can be applied to mitigate the effect introduced by relative movement between object and camera, as shown in Fig. 1(a). Blind deblurring restores sharp images without knowing the camera motion, but it is also very time consuming. For example, it takes 11.4 minutes to process a full-HD image for [1]. Since the blur kernel estimation occupies 99% of blind deblurring process, a dedicated accelerator that utilizes the prior knowledge of gradients for real-time deblurring on mobile devices is presented in [2], which reduces the processing time from 11.4 minutes to 1.7 seconds.
INTERMEDIAL RECODING OF GEO SHKURUPII'S WORKS IN THE VIDEO PERFORMANCES AT THE SEMINAR OF CREATIVE YOUTHS 2020

The paper focuses on poetry-based video performances conducted by the participants of the “Creative Youths Seminar” (CYS), which was founded in 1995. Adaptability is one of the most essential features of all seminar clusters. It leads to constant transformations in a general program and within poetry performance laboratory (existing as a part of CYS since 2015) in particular, due to socio-cultural and political context. In 2020, because of the quarantine restrictions, CYS for the first time changed its regular face-to-face form to a remoteone and took place online. Live performance cluster transformed into a three-day marathon of video performances. During that time 24 participants made over 70 video performances that lasted for more than 100 minutes in total (there was a record number in every category of a CYS performance cluster). Nearly half of the performances were poetry-based. Almost a third part was based on the poems by Ukrainian Futurist writers Oleksa Vlyzko, Mykhail Semenko, Oleksa Slisarenko, Andrii Chuzhyi, Geo Shkurupii, and Yulian Shpol. The article analyzes five poetry-based video performances that refer to the poems by Geo Shkurupii as pretexts: “A Talk with a Future Self ” by Yaroslav Boruta, “I Want to Be a Furniture” by Vladyslava Demianchuk (Dadi), “Oh Little Boy” by Natalia Matsybok-Starodub, “Czech Scotch Tape” by Iryna Pavlenko (Ira Pamiatai), and “The Future of Cherry Orchards” by Viktoriia Feshchuk. The pretexts, poetry performance texts (if any), and their intermedial connections with video performances have been examined.&#x0D; The researcher concludes that poetry-based performances let the artists not only experience the text traditionally but also ‘live through the text’, or, in other words, create a personal physical experience of the pretext and offer the audience another perspective on the pretext with the help of non-literary media.
Lecturers Awareness, Inclusion and Implementation of Wearable Device as a Means of Enhancing Educational Development in Nigerian Universities

For the 10% of individuals in Nigeria that have utilized a wearable gadget, an increment in use is expected sooner rather than later. The utilization of Smartwatch innovation has been accounted for in numerous instructive practices; suppliers have utilized smartwatches for an assortment of purposes including addresses, courses, and online classes. Be that as it may, the impacts of Smartwatch innovation on the quality and adequacy of upgrading instructive headway in colleges and bastions of learning stay obscure. Input components that are unpretentious and productive in preparing enormous information continuously are needful to gauge quality learning experience in such huge homeroom settings. With the most recent effect of infiltration and reception of web and portable advancements in most creating areas, wearable innovation is an achievable answer for oversee and screen homeroom inclusion; as continuous understudy criticism can be coordinated in the plan and conveyance of guidance all through the study hall. The outcomes from SPSS statistical analyses of the data gathered exhibited suppliers’ high proclivity for utilizing Smartwatch gadgets for instruction and dissemination of lecture curriculum and educational plan, yet further exploration is expected to distinguish components by which keen frameworks can be incorporated into the schedules and work processes of lecturers and students.
Dative radial category in Old Church Slavonic and Modern Russian

In this paper, the semantic roles expressed by the Dative case in Modern Russian and Old Church Slavonic are described in terms of radial categories. The corpus data shows that the radial category of the Dative case has changed since Old Church Slavonic. The radial category in Modern Russian is smaller, and it includes fewer subcategories than attested in Old Church Slavonic. The change of the category prototype could explain the changes in the category of the Dative case. Recipient is postulated to be the prototype of the Dative case category in Modern Russian, while Direction appeared to be the best prototype for Old Church Slavonic data.
PROSPECTS FOR THE CYBERSPACE DEVELOPMENT AND ITS SOCIO-PSYCHOLOGICAL CONSEQUENCES

The article is devoted to the analysis of issues and research of the influence of social and psychological factors that influence the formation of Internet-dependent behavior of the individual in terms of increasing the role of cyberspace in today's conditions. The article examines the problems of interpersonal communication in the digital space, which leads to the virtualization of the living space of modern man, causing a certain specific danger, special needs and dependencies. The results of scientific research in this area are analyzed, namely those devoted to the impact of i nformation technology on humans, based on the specifics of digitalization of educational space, in terms of modern development of the information environment of the world. The authors explored the main types of activities on the Internet: cognitive, game a nd communicative, which are directly responsible for specific personality changes