Reviewerly/exHarmony huggingface dataset:
THE ANALYSIS OF FUNCTIONAL COMPLETENESS OF THE ONLINE LEARNING SYSTEMS

Currently, there are many online learning systems, which support online learning management processes. However, it is rather hard to choose an e-learning management system on your own. The paper considers a comprehensive assessment method based on the use of the developed comparison algorithm and the algorithm for the optimal choice of complex e-learning management systems according to the functional completeness criterion. The study shows to what extent the e-learning management systems selected for comparison have similarities or differences in terms of functional completeness. The author analyzed whether they contain the most typical e-learning systems and what additional functions each of the compared systems has. The paper shows how it is possible to assess how the functional completeness of a particular system meets the user’s requirements. The developed comparison algorithm allows grouping the features of the considered complex e-learning management systems and highlighting the most significant functions or groups of functions. The study determined the degree of absorption of one complex system over another. The author carried out the ranking of the considered e-learning management systems according to the functional completeness criterion. To identify the system that is superior to the others and to determine the presence of the unique functions, the author constructed the graphs of similarity, absorption, and superiority of the considered systems with varying threshold values. This method allows evaluating and selecting such e-learning management systems that best meet the software requirements and, based on the recommendations received, choosing the most appropriate version of the online-learning management system, taking into account the user’s preferences.
IMPLEMENTASI ALGORITMA TANDA TANGAN DIGITAL BERBASIS KRIPTOGRAFI KURVA ELIPTIK DIFFIE-HELLMAN

In data communication systems, digital signatures are a form of electronic signature security services based on the Elliptic Curve Digital Signature Algorithm (ECDSA) which are considered resistant to certain types of attacks. Attacks on digital signature schemes aim to fake a signature or are called forgery which is said to be successful if the key pair and signature generated by the attacker are accepted by the verifier. Mathematical schemes used to prove the authenticity of messages or digital documents or guarantees that the data and information actually come from the correct source. ECDSA-based digital signatures rely on discrete logarithmic problems as the basis for mathematical calculations. Q = kP where Q and P are the points of the elliptic curve in the finite field or and k is a positive integer number. The hash function generated from the algorithm process is then encoded (encrypted) with an asymmetric key cryptographic algorithm. In this work use p = 149 to encrypt plain text by converting the original message using dots on a curve with the help of Python programs.
Using color image to encrypt-decrypt wave file

Digital audio files are one of the important types of data to be used in many vital applications, which leads us to protect this type of data from intruders and snoopers, as it may contain confidential information that not allowed to be viewed by any unauthorized third party .In this paper, we present a new method for protecting audio files that depends on the use of the digital color image or part of it as a key to the encryption or decryption process.The digital image used as a key is characterized by its enormous size, in addition to that, the image is not circulated through social media, but rather is agreed upon between the speaker and the listener, which leads to difficulty being known by the interlopers, and thus we provide a safe way to deal with audio files.The proposed method will be implemented and tested to measure the efficiency and quality factors.
The impact of social media uses (WhatsApp, Instagram, Snapchat, and Twitter)on the individual's community life Field study on a sample of Umm Al Quwain University students

The study attempts uncovering the impact of the uses of social media (WhatsApp, Instagram, Snapchat, Twitter) on the individual's community life. It aims also to highlight the effect of using social media on the university student community life, through identifying the most important social media sites used by the university student and spotting the reasons why university students use social media. In this study, the descriptive and analytical method are used aiming to achieve desired objectives. That has been done depending on the field study which led to the collection of the required data to be analyzed in terms of quantity and quality. Consequently, we can get all the needed explanations which enable us answering the study questions. Collecting and analyzing data on the field study was based on the questionnaire which was prepared at the beginning of the work in its initial form, and presented to a number of specialists for arbitration. After that, the researcher concluded the final template of the questionnaire, which was applied to the vocabulary of the sample. The questionnaire has included some points related to the objectives and questions of the study. The sample included 200 undergraduate students randomly selected from the various colleges of Umm Al Quwain University at the United Arab Emirates including, the College of Mass Communication, Public Relations and New Media, the College of Law, and the college of Business Administration. Lastly, the study takes the following findings, the reasons why university students use social media can be summarized in, easy access to the information which I need, and it is the best way to communicate with relatives and friends as well as a way for fun and entertainment. It enables me to participate in all activities and events surrounding me and provides an opportunity to exchange opinions and ideas on various topics.
Perancangan dan Pembuatan Sistem Informasi Akademik Berbasis Web Menggunakan Framework Codeigniter dan Mysql

Current technological developments are increasingly rapid, marked by increasingly integrated technology in various aspects of our lives, one of them in the aspect of education. At present, along with the development of technology, the role of technology in education is getting stronger, one of which is the application of Information Systems in Education, namely the Academic Information System. Where academic information systems are systems that manage all activities related to academic activities, such as learning processes, assignments, examinations, grades, management of students and teachers, graduation and alumni. A good School Academic Information System is a system that can achieve satisfaction from users, which in this case are prospective students, students, teachers, stakeholders, and parents so that all can feel the impact of the information system that can improve the quality of graduates from their schools.
Human evaluation of three machine translation systems: from quality to attitudes by professional translators

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; This article aims to compare three machine translation systems with a focus on human evaluation. The systems under analysis are a domain-adapted statistical machine translation system, a domain-adapted neural machine translation system and a generic machine translation system. The comparison is carried out on translation from Spanish into German with industrial documentation of machine tool components and processes. The focus is on the human evaluation of the machine translation output, specifically on: fluency, adequacy and ranking at the segment level; fluency, adequacy, need for post-editing, ease of post-editing, and mental effort required in post-editing at the document level; productivity (post-editing speed and post-editing effort) and attitudes. Emphasis is placed on human factors in the evaluation process.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Structural and content characteristics of innovative pedagogical system

The article analyzes theoretical approaches to the concept, structure and content of an innovative pedagogical system as a means of implementing new pedagogical ideas and mechanisms for forming creative thinking of teachers and students in various forms of the educational process. The purpose of the research is to identify the structural and content elements of the innovative pedagogical system. In the course of the research, the features and structure of the innovative pedagogical system are revealed, and the typology of teachers on the basis of their attitude to pedagogical innovations is presented. The author of the research defines the main components of the structure of innovative activity of a teacher, the system-forming elements of the pedagogical system, and the list of innovative pedagogical technologies. The analysis of scientific literature and personal pedagogical experience allowed us to establish a historical and pedagogical connection between the factors and conditions of the emergence of an innovative pedagogical system and the direction of its forms, methods and means. This relationship is established on the principles of goal setting, content compliance with goals. The practical significance of the research lies in the possibility of applying the identified structural and content elements of the innovative pedagogical system in pedagogical practice.
THE ANALYSIS OF PRONUNCIATION ERROR ON ENGLISH DIPHTHONGS MADE BY CERTIFIED TOUR GUIDES

As a rule, the tour guides speak English to introduce and describe the tourism object to the foreign tourist. The communication between tour guides and tourists should be worked without any obstruction to avoid misunderstanding. However, the pronunciation error on English diphthongs still occurred when the tour guides spoke English with the tourist. The objectives of this study were 1) analysing the types of pronunciation error on English diphthongs made by certified tour guides, 2) finding the most difficult English diphthongs made by certified tour guides, and 3) identifying the reasons of the pronunciation error on English diphthongs made by certified tour guides. The research method was descriptive qualitative. The researcher used four steps in collecting the data, they were recording, questionnaire, observation, and documentation. The respondents of this research were five certified guides. The research result showed that pronunciation error on English diphthongs made by certified guide was 120 errors (76 errors in substitution and 44 errors in omission). The highest pronunciation error was [??] diphthong and it occurred 45 times. The certified tour guides did not aware that they make pronunciation error. They had conversation in English with the foreign tourist but they had less time in learning pronunciation with native or competent person in English. The certified tour guides need to improve their English quality through learning more about pronunciation with the expert to minimize their pronunciation error on English diphthongs.
Identification of the "Tor" Network https-Connection Version tls v1.3

Purpose of the study: compilation of a set of features that allow to detect and identify the establishment of a connection between the client and the anonymous network Tor in conditions of using encryption of the data stream using the TLS v1.3 protocol. Method: software analysis of the data flow, frequency methods, decomposition of the content of data packets according to their number, sequence, finding frames in a packet and sizes, a comparative method in point of different versions of the encryption protocol and resources making the connection were used. Results: a set of features of the Tor network connection established using TLS v1.3 encryption was compiled, allowing to detect and identify in the data stream a “handshake” between the client and the Tor network in order to legally block the connection; a comparative analysis of the data of the Tor network and the VKontakte social network during the establishment of an encrypted connection was carried out; studied and described the structure and differences of the “handshake” of the TLS protocols v1.2 and v1.3; the structure, size and arrangement of frames and data packets of the Tor network and a connection of other network type, both using TLS v1.3 encryption, has been revealed.
Realization of the Creative Potential of Future Engineers-Teachers of the Food Branch as a Factor of Self-Creation in the Professional Activity

The paper scientifically substantiates realization of the creative potential of future engineers-teachers of the food branch as a factor of self-creation in professional activity.In particular, there is considered the essence of the professional activity of engineers-teachers of the food branch in the context of the creativity phenomenon as an ability to realize professional functions and to solve specialized problems and practical tasks of the professional (professional-technical) education and food branch of production.Possibilities of realization of the creative potential of future engineers-teachers of the food branch, based on rethinking and transformation of own experience at mastering the chosen specialty, are revealed.Creativity is considered as a condition of effective personal self-creation that determines the personal creative essence and provides a possibility of continuous changes in its structure.Contradictions, based on results of the analysis of the modern educational practice in training future engineers-teachers in the food branch and its development tendencies are established.Ways of the professional training improvement of future engineers-teachers in the food branch, oriented at realization of their creative potential, are determined.The effective mechanism of self-creation of future engineers-teachers in the food branch in the professional activity is determined as an orientation of their professional training at the optimal realization of the creative potential and provision of correspondent organizational-pedagogical conditions (activation of incentive motives to creative self-expression in the future professional activity; using of didactic possibilities of disciplines of the cycle of the professional and practical training in achieving expected results of creative type; organization of the psychological-pedagogical support as to formation of components of the readiness to the professional activity).
Critical Discourse Analysis: The Knowledge Power Presented by Scholar in Creating Research Article

This study was aimed to analyse the background study on research article and put the argumentation based on the theory about critical discourse analysis related to social cognition theory. Furthermore, the researcher wanted to compare 2 article in critical discourse analysis approach. This method on this study is descriptive qualitative which is presented in the positivist views. Then the result was generalized in the relation on finding and discussion with the theory. In summary, the result showed the different ways in giving the power of the argumentation and explanation between RA1 and RA2. In conclusion, the power of argument used will lead the reader to ignore or accept on how it is become valid statement or not.&#x0D; Keywords: Social Cognition, Critical Discourse Analysis, Background Study
A Novel Graph Representation for Skeleton-based Action Recognition

Graph convolutional networks (GCNs) have been proven to be effective for processing structured data, so that it can effectively capture the features of related nodes and improve the performance of model. More attention is paid to employing GCN in Skeleton-Based action recognition. But there are some challenges with the existing methods based on GCNs. First, the consistency of temporal and spatial features is ignored due to extracting features node by node and frame by frame. We design a generic representation of skeleton sequences for action recognition and propose a novel model called Temporal Graph Networks (TGN), which can obtain spatiotemporal features simultaneously. Secondly, the adjacency matrix of graph describing the relation of joints are mostly depended on the physical connection between joints. We propose a multi-scale graph strategy to appropriately describe the relations between joints in skeleton graph, which adopts a full-scale graph, part-scale graph and core-scale graph to capture the local features of each joint and the contour features of important joints. Extensive experiments are conducted on two large datasets including NTU RGB+D and Kinetics Skeleton. And the experiments results show that TGN with our graph strategy outperforms other state-of-the-art methods.
An Implementation Framework for a Blockchain Based Trial Tax

Blockchain technology represents one of the most promising introductions in the technological scenario. Despite the growing interest from both the general public and the scientific community in this regard, there is a lack of strategies capable of guiding, under a technical and managerial perspective, the introduction of blockchain technology within existing business processes. Inspired by the main software engineering methodologies, which currently do not include specific techniques to coexist with blockchain paradigm, in this article, we propose an innovative blockchain implementation framework, which provides for a series of tools and strategies able to exploit the benefits arising from its integration within public administration business models while reducing related risks of introduction. In order to assess the framework operational effectiveness, we also test its application in the development of a blockchain based system allowing the conduct of telematic trial tax in order to make its execution safer, faster and cheaper.
Objects information as a source of image features

Digital color images are the most important data types used in various vital applications, some of these applications required image features.Digital images contain variable number of objects with variable sizes.Each object contains valuable information which can be used to construct image features.In this paper research we will analyze a variety of information which are used to describe any object in the image, a methodology of objects extraction and the associated with each object will be proposed, a way of forming the image features will be discussed.
AI & IP Innovation & Creativity in an Age of Accelerated Change

From a glimmer in the eye of a Victorian woman ahead of her time, AI has become a cornerstone of innovation that will be the defining technology of our time. Around 2016, the convergence of computing power, funding, data, and open-source platforms tipped us into an AI-driven Fourth Industrial Revolution. AI can make a difference in accelerating disruptive innovation by bringing a data-driven approach to invention and creation. To do so, the law must embrace change and innovation as an imperative in a journey towards an ever-shifting horizon. AI both enables and challenges how we reward individuals whose ingenuity, industry, and determination overcame the frailty of the human condition to offer us inventions that make our lives more efficient and pleasurable. It will take a clear-eyed view to ensure that copyright and patent laws do not impede the very progress they were designed to promote. In the creative arts, the work for hire doctrine provides a pragmatic legal vehicle for interests to vest and be negotiated by the commercial interests best placed to encourage investment in both the technology and its downstream uses. Like human-generated work, AI-generated work is an amalgam of mimicry mined from our own learning and experience. The training data it draws upon, both for expressive and non-expressive sues, is merely grist for AI’s mill. Consequently, fair use must be applied to prevent holdup by copyright owners and stifle transformative uses enabled by AI. AI can also be used to decipher complex copyright infringement cases such as those involving musical compositions. In the technological arts, the controversy will revolve around who owns innovative breakthroughs primarily or totally attributed to AI. How should these breakthroughs affect the regard for the notion of PHOSITA? How does AI change the equation when it comes to infringement? And how can AI help save the patent system from obsolescence?
LITERATURE STUDY OF MODIFICATION SCALE MEDIA IN LEARNING MEASUREMENT CONCEPTS OF CHILDREN 5-6 YEARS OLD

&lt;p&gt;In the development of cognitive aspects one of the parts in it is mathematics. One concept in mathematics that is very close to children is the concept of measurement. However, learning in children is quite difficult for teachers to do. This is because the concept of measurement is one of the concepts in mathematics which is quite abstract if only taught without the existence of a learning medium as a tool in the learning process. Teaching the concept of measurement in kindergarten is still lacking in variety and tends to only use Child Worksheets (LKA) which directly or indirectly will seem very boring and seem monotonous. Therefore, it is necessary to have a new learning media in the process of learning the measurement concept that aims to make it easy for children to learn the measurement concept. This study aims to describe the use of the modified media scales in the learning of measurement concepts that are aimed at children aged 5-6 years. Indicators of measurement concepts related to the child's ability to understand the concept of measuring the weight of objects with the intended subject are early childhood with an age range of 5-6 years. This type of research is a literature review that is using literature studies in a scientific study relating to the variables in the study. Analysis techniques in research by analyzing some relevant research from related articles obtained, discovered, analyzed and concluded. The results of the data analysis concluded that the use of modified media scales in the learning process of measuring concepts can provide convenience for children in learning the measurement concepts.&lt;/p&gt;
Optimizing the Division of Study Class Groups Using the Partitioning Around Medoids (PAM) Method

Optimization is a step to solve a problem to get more profitable results. Profitable based on the point of view used or the desired needs. The optimization value can be profitable in the maximum position or profitable in the minimum position. A problem can be solved in different ways, to produce the best solution. The best conditions can be viewed from many things, including tolerance, methods, and problems. Many theories have been developed to solve optimization problems. This optimization problem is often discussed because it is very close to human life. In this case, optimization can be interpreted as the process of achieving the most optimal results by adjusting input, selecting equipment, mathematical processes, and testing. Thereby in this paper, the Partitioning Around Medoids (PAM) method has succeeded in optimizing class grouping by calculating the closest distance between the achievement and intelligence of each student.