Reviewerly/exHarmony huggingface dataset:
Nexus of Corruption Control and Economic Development in African Least Corrupt Countries

The main objective of this paper is to examine the impact of corruption control on the performance of economies of ten least corrupt African countries spanning the period 1996-2014 and make policy recommendations on how to improve it. In detail, the paper makes an effort to: evaluate the extent to which the control of corruption impact on economic performance of the sampled African nations indexed as least corrupt. The study makes use of data obtain from World Development and World governance Indicators (WDI &amp; WGI) and adopts panel granger causality framework, Engle Granger based panel cointegration, and FMOLS (fully modified ordinary least squares) estimation (weighted Estimation). The findings show that the variables are cointegrated in the long run with regards to economic growth and its determinants, as well as the result of Vector Error Correction Mechanism (VECM) confirms that the variables are dynamically interacted among the 10 selected African countries. The result of FMOLS does not support the hypothesis that corruption control and political stability have positive influence on the growth of the economy. However, government effectiveness and gross domestic savings have positive impacts on economic growth. The study recommends more policy that can strengthen the anti-corruption agency by improving the quality of infrastructure in those countries as well as enhancing social responsibility and collective consciousness.
Incorporating Collaborative Learning in an English Course Using Whatsapp

In this era of globalization which consists of technological generation, a mobile phone is needed in the teaching and learning process. Students make their mobile phones an inseparable part of themselves. WhatsApp, is the most favored mobile based applications among students, will be the potential application for incorporating collaborative learning. Therefore, this study aims to explore the incorporation of collaborative learning in an English course using WhatsApp and to identify the students’ perception toward that tool in an English course. This case study was conducted in the Arabic Education department of IAIN Kudus, on second semester students of 2019/2020. Two different sources of data were used to collect the information needed for answering the research questions. They were analysis of participants’ posts on the WhatsApp group platform and survey questionnaire using Likert scale. The process of teaching learning activities, including four language skills, in English course through the participants’ posts on the WhatsApp group platform are presented. The quantitative data from the response of Likert scale questionnaires is also analyzed qualitatively. Overall, the study shows that WhatsApp is a convenient tool for incorporating collaborative learning in English course and students get positive feelings and intentions regarding the potential use of WhatsApp in their learning.
CORRELATION BETWEEN SELF-ASSESSMENT AND SELF-CONFIDENCE OF STUDENTS OF TECHNICAL INSTITUTIONS OF HIGHER EDUCATION AND METHODS OF THEIR ACTIVATION

Тhe essence of the definitions of “self-assessment” and “self-confidence” of the individual and their correlation is considered. The sources of self-assessment formation are indicated. The generalized conclusion of scientists is given, the essence of which is that the success, as well as the failure of a student of a technical institution of higher education is the result of high or low self-assessment. According to the results of the research, the urgency of the problem of forming an adequate self-assessment and increasing students' self-confidence in the process of studying at TIHE is emphasized. The mechanisms of their activation are revealed, namely, self-knowledge, self-control, self-regulation and self-programming. Special attention is paid to the role of innovative technologies: creating situations of success in the learning process and training. The key components of the method of behaviour rehearsal are considered, which are modelling, instruction and reinforcement
CRITERIA, INDICATORS, LEVELS AND DIAGNOSTICS METHODS OF DEVELOPMENT OF PHYSICAL EDUCATION TEACHERS’ PEDAGOGICAL COMPETENCE IN AGRARIAN UNIVERSITY

This article defines the criteria for the formation of the pedagogical competence of scientific and pedagogical workers in physical education (motivational-value, cognitive-processual, developmental, educational, health-saving, communicative), their structure, content and measurement methods are disclosed. The determination of the components of the pedagogical competence of scientific and pedagogical workers of physical education makes it possible to significantly expand the range of pedagogical knowledge, skills and abilities of scientific and pedagogical workers of physical education, as well as to carry out their diagnostics as a kind of reference point for the content of the methodological work of the model of the educational process, which will help to adjust the process of development of pedagogical competence scientific and pedagogical workers of physical education in the methodological work of an agricultural university.The interrelation of components of pedagogical competence of physical education teachers of agrarian university with normative requirements to the organization of educational process on physical education and mass sports in institutions of higher education is established, (motor activity, individual work and practical classes) as well as with the tasks of agrarian education (maintaining the health of students, ensuring the health of the population through professional activities, solving environmental problems).For self-improvement of scientific and pedagogical workers of physical education the selection and modification of methods was carried out. To assess the development of pedagogical competence in the system of methodical work of the university, a system of tests was developed to determine the formation of each component.
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models

In this paper, we describe a methodology to predict sentiment in code-mixed tweets (hindi-english).Our team called verissimo.manoel in CodaLab 1 developed an approach based on an ensemble of four models (MultiFiT, BERT, ALBERT, and XLNET).The final classification algorithm was an ensemble of some predictions of all softmax values from these four models.This architecture was used and evaluated in the context of the SemEval 2020 challenge (task 9), and our system got 72.7% on the F1 score.
Our Metadata Problem and the Curation Crew Solution: Employing Non-Specialist Undergraduate Students in Data Remediation

This case study describes the challenges faced by A Journal of the Plague Year: An Archive of COVID-19 ( JOTPY) in achieving metadata consistency despite the project’s success at capturing rich metadata for its nearly 10,000 objects. The problem of inconsistency was amplified by JOTPY’s model of shared authority and its status as a global curatorial consortium with dozens of partners. JOTPY was able to address this issue of metadata consistency by employing, training, and tasking hourly student curators called the Curation Crew. The Curation Crew underwent rigorous curatorial training and was, despite their lack of experience in archival curation, able to achieve an impressive level of curatorial consistency. They are now recognized as JOTPY’s greatest quality control assets and have even begun to, themselves, contribute to the development of best practices. In addition to their data-cleaning tasks, the Curation Crew also directs its labors toward recording their own thoughts and feelings by generating several submissions per week. As metadata consistency improves, the Curation Crew’s labor is being redirected toward a wider range of tasks such as oral history transcription and targeted collecting.
The Effect of Corporate Social and environmental Responsibility on Leverage and Performance: Evidence from Jordan

This study aimed to test the effect of corporate social responsibility through activities towards society and environmental activities on financial leverage and corporate performance, the study population consists of all companies listed on the Amman Stock Exchange. The study sample reached 187 companies for the period 2014-2017, to achieve the goals of the study; regression analysis was used to find out the effect of social and environmental responsibility on leverage and performance, the study reached the results that the social responsibility towards the society affects the financial leverage of the company while the environmental activities did not affect the financial leverage, responsibility for social and environmental activities did not affect the performance of companies, and there was a positive correlation between social and environmental responsibility and financial leverage, and a negative link was found between financial leverage and performance.
Technological And Content-Based Resources For Teacher Training In A New Educational Situation

Modern teacher education is rethinking its goals and objectives in order to help teachers in a new educational situation to better reveal their potential in the process of professional development.The search for new technological and content resources that will help this happen is an urgent task for teachers' educators.The article discusses two possible resources for the development of teachers' reflection as a basis for their professional development.This is interprofessional interactions and participation in large-scale network cultural projects.Teachers choosing the options about these interprofessional interactions such as "happen regularly" and "caused by a difficult situation with a student" were more likely to point out the impact of such interactions on their ability to look at what they were doing in class critically (43.6%) compared to teachers who noted a lack of such contacts with colleagues (12.2%).The participation of a teacher in cultural and educational projects of various scales as an organiser contributes to the development of higher levels of reflexive consciousness, such as synthesising and transcending forms of reflection.However, for less experienced teachers we found the comparative form of reflection as the most specific.The positing reflection is related to all teachers as experts of cultural projects which were shown in a content analysis of teachers' expertise papers.
Task prioritization methods in flexible software development methodologies

The modern task prioritization methods that are used in flexible software development methodologies are discussed in the paper. Very flexible development methodologies such as Scrum, Kunban and others are currently the most popular because they allow making adjustments to it at any stage of a project, to improve the quality of the created product through daily monitoring of its creation and quickly release the first versions of the software. All task prioritization methods that are used in software projects de-velopment including flexible methodologies are divided into those that take into account the point of view of the development team and those that are based on various quantitative assessments, among which various metrics, expert opinions, points of view of those who are interested in the project, availa-ble classifications etc. Among the considered prioritization methods, which take into account the opin-ion of the development team, there are such popular and actively used nowadays methods, as MoSCoW, story map (User story mapping) and proactive improvement. Among the considered methods, based on quantitative assessment, is Kano's model, the method based on the creation of evaluation sheets, the method for estimating relative priorities for a set of functions offered by Carl Wigers and the method of structuring quality functions (Quality Function Deployment). Depending on the features of the project, customer requirements, the wishes of the development team and the other objective or subjective fac-tors, the project can use one or several prioritization methods at the same time or the combination of them. In addition, some of the considered methods can be used in short-term planning, the others – in the long-term, but there are those that can be used at each stage.
The interaction of academic disciplines in the preparation of bachelors

The article gives the theoretical-methodological analysis of the interaction of the academic disciplines in the bachelors' training process.The authors show that foreign language is one of the few academic subjects, which has being studied during the whole period of educational process, beginning from school till the post-graduate courses.The examples and some method techniques of bachelors' educational process are also given in the article.
CRIMINAL OFFENSES AGAINST SECURITY OF COMPUTER DATA IN THE REPUBLIKA SRPSKA ACCORDING TO THE CRIMINAL LAW OF 2017

In 2003, new criminal legislation came into force in Bosnia and Herzegovina. It is established on the basis of international standards, legal traditions, domestic and foreign legal theory and court practice, but also according to the needs of criminal policy. Of the four criminal laws (Bosnia and Herzegovina, the Federation of BiH, the Brcko District of BiH and the Republika Srpska) with numerous novelties, in 2017, the Republika Srpska passed a completely new Criminal Code. This Code, starting from international obligations, in the first place the Convention on Cyber (computer) Crime  from Budapest (2003), establishes a system of criminal offenses against the security of computer data, with a system of criminal responsibility and sanctions for natural and legal parties as perpetrators of these criminal offenses. The concept, elements, characteristics and forms of computer crimes in the new legislation of the Republika Srpska are discussed in this paper.
Problems of Digitalization of Education in the Context of the COVID‑19 Pandemic

The article is devoted for the analyze of problems of digitalization of education in the context of the COVID-19 pandemic Information base was taken from the results of surveys of university teachers and students of several universities and monitoring data, foreign university experiences and personal practices.The main problems of transition to on-line education were defined on the base of analyses of all the data.In details we studied the information which show the reasons for being not ready for such type of education both for students and teachers.The authors underline the importance of emotional intellect which working in on-line format.It was found out that many aspects of involvement in studying are connected with the age of professors and that might be taken into consideration.One of threats of transferring to digital education was defined as loss of specialists who take part in education and don't have enough level of computer competitions.This leads to the reduction of educational quality.The authors suggested several variants for decreasing the risk of threats.Testing the proposed variants has proven the practical application of the proposed approach for saving academical potential.The methodology proposed by the authors is made according with new educational standards and higher economic efficiency of educational process.
Data transmission deployment and reliability analysis in enterprise informatization construction

In the construction of enterprise informatization, the traditional reliability analysis method of data transmission deployment has the problem of high data packet loss rate, which affects the reliability analysis results.Therefore, data transmission deployment and reliability analysis in enterprise informatization construction are proposed.Firstly, the wireless transmission module is designed to ensure the safe and barrier free transmission of data, and the can interface is designed to connect all links in the information construction with the wireless transmission module.On this basis, data is divided and deployed by data deployment algorithm; path loss of data transmission channel is taken as the basis of reliability analysis, and reliability analysis is completed by calculating various losses.The experimental results show that: compared with the traditional method, the data transmission deployment and reliability analysis method designed in the enterprise information construction has no packet loss, and the data is safe and reliable.This method is suitable for the application in the enterprise information construction.
Rancang Bangun Aplikasi Elektronik Transportasi Bandara Yogyakarta International Airport Berbasis Mobile Menggunakan Android Studio

Abstract— Yogyakarta International Airport is a new airport in Yogyakarta, located in Temon, Kulonprogo Regency. Yogyakarta International Airport began operations on May 6, 2019. It was marked by the first landing of Citilink from Halim Perdanakusuma Jakarta. To support airport operations, the Transportation Department also prepares supporting transportation modes, such as airport trains, Damri Buses and, Shuttle Bus to get to the Airport. This mode of transportation connects cities around the airport, such as Purworejo, Magelang, Yogyakarta City, and even Surakarta City. However, because the airport is still relatively new, the information obtained by the public is still minimal. Therefore an informative application is needed for prospective passengers to go to or leave the airport. The application is made based on mobile, by utilizing GPS technology to monitor the position of the vehicle in real-time. This application will make it easier for visitors to travel to areas around YIA Airport.
Design and Implementation of a Face Authentication System

This paper proposes a face authentication system based on deep learning framework.The proposed system is consisted of face region detection and feature extraction using deep learning algorithm, and performed the face authentication using joint-bayesian matrix learning algorithm.The performance of proposed paper is evaluated by various face database , and the face image of one person consists of 2 images.The face authentication algorithm was performed by measuring similarity by applying 2048 dimension characteristic and combined Bayesian algorithm through Deep Neural network and calculating the same error rate that failed face certification.The result of proposed paper shows that the proposed system using deep learning and joint bayesian algorithms showed the equal error rate of 1.2%, and have a good performance compared to previous approach.
Developing an Online Course Book for English Freshmen in Lamongan Universities

Until these days, the possibility of face-to-face teaching learning process in any universities is quite low. Therefore, the need of online learning materials for online or/and blended learning is inevitable. The present research aimed to develop an onlinebook for Reading 1 course at 3 universities in Lamongan. Unlike other online ELT books which is western-oriented, this online course book was developed based on Lamongan-Javanese’ local wisdom. A total of 135 freshmen and 3 lecturers were involved as the subjects. The results of need analysis showed that 1) the freshmen have positive attitude towards English reading even though they confronted by some problems, 2) the lecturers seemed to have different interpretations on their freshmen’ reading preferences, and 3) the students’ reading comprehension level needed to be improved. A number of implications regarding these findings were discussed as well in this research.
A Batch Inheritance Extreme Learning Machine Algorithm Based on Regular Optimization

As a new type of neural network, Extreme Learning Machine (ELM) has extremely fast training speed and good generalization performance. Considering the problem that the Extreme Learning Machine has high computational complexity and huge memory demand when dealing with high dimensional data, a Batch inheritance Extreme Learning Machine (B-ELM) algorithm is proposed. Firstly, the dataset is divided into different batches, and the automatic encoder network is used to reduce the dimension of each batch. Secondly, the inheritance factor is introduced to establish the relationship between adjacent batches. At the same time, the Lagrange optimization function is constructed by combining the regularization framework to realize the mathematical modeling of batch ELM. Finally, the MNIST, NORB and CIFAR-10 datasets are used for the test experiment. The experimental results show that the proposed algorithm not only has higher classification accuracy, but also reduces effectively computational complexity and memory consumption.
أثر استخدام تقنية الواقع المعزز على التحصيل الدراسي بمادة الحاسب الآلي لدى التلاميذ ذوي صعوبات التعلم بالصف السادس المتوسط بدولة الکويت

هدف البحث الحالي إلى معرفة أثر استخدام تقنية الواقع المعزز على التحصيل الدراسي لدى تلاميذ الصف السادس من ذوي صعوبات التعلم في مادة الحاسب الآلي وتمثلت أدوات البحث في معالجة تجريبية عبارة عن تطبيق قائم على الواقع المعزز وتحددت أدوات قياس البحث في (اختبار تحصيلي لقياس الجوانب المعرفية  في مادة الحاسب الآلي) وتم التطبيق على عينة تتضمن (150) تلميذ وتلميذه من تلاميذ الصف السادس من ذوي صعوبات التعلم مقسمين بشکل عشوائي إلى مجموعتين إحداهما تجريبية وعددها (75) تلميذ وتلميذه من تلاميذ الصف السادس، والأخرى ضابطة وعددها (75) تلميذ وتلميذه من تلاميذ الصف السادس، وتم تطبيق المعالجة التجريبية خلال الفصل الدراسي الثاني للعام الدراسي 2017 / 2018م وبعد تطبيق أدوات القياس توصل البحث إلى وجود فرق دال إحصائيا عند مستوى   0.05 بين متوسطي درجات المجموعة التجريبية في التطبيق القبلي والبعدي للاختبار التحصيلي لصالح التطبيق البعدي، کما يوجد فرق دال إحصائيا عند مستوى  0.05 بين متوسطي درجات المجموعتين التجريبية والضابطة في التطبيق البعدي للاختبار التحصيلي لصالح المجموعة التجريبية، کما يوجد أثر لاستخدام تقنية الواقع المعزز في تنمية التحصيل الدراسي بمادة الحاسب الآلي لدى تلاميذ ذوي صعوبات التعلم بالمرحلة المتوسطة.الکلمات المفتاحيةتکنولوجيا المعلومات والاتصالات - الواقع المعزز - تطبيقات الواقع المعزز -   التلاميذ ذوي صعوبات التعلم.  AbstractThe aim of the current research is to find out the effect of the use of Augmented Reality technology on the achievement of students in the sixth grade with learning disabilities in computer. The research tools in experimental treatment were an application based on the Augmented reality. The study was carried out on a sample of 150 students and students of sixth grade with learning difficulties, divided into two groups, one of which is 75 students and the sixth grade student, the other 75 students and their students. Cataract row The experimental treatment was applied during the second semester of the 2017/2018 academic year. After the application of the measuring instruments, the research found that there was a statistically significant difference at0.05  between the mean of the experimental group scores in the pre- and post-application of the test for the benefit of the post application. Statistically at0.05  between the mean scores of the experimental and control groups in the post-application of the experimental test for the benefit of the experimental group. There is also an Impact on the use of the Augmented reality technology in the development of the academic achievement of the computer in students with learning difficulties in the intermediate stage.key wordsICT - Augmented Reality - Augmented Reality Applications - Students with Learning Disabilities.