Reviewerly/exHarmony huggingface dataset:
Konsep diri membaca dan minat baca pada siswa sekolah dasar

Reading interest is very important for students in the learning process. This study aimed to determine the correlations between reading self concept and students reading interest. In this study, the researcher used two scales namely scaleof reading self concept, and scale of students interest in reading. The population in this study were all students of grade3,4,5 at X Sleman Elementary School in Yogyakarta, Indonesia. The sampling technique in this study was incidentalsampling with a sample size of 124. The results of the analysis show that there is a correlation between reading self concept and students reading interest with an r value of 0.855 (p = 0.01). It is important for elementary school students to form a reading self concept so that a high reading self concept will increase students reading interest.
Motivation Component Of Diagnostic Unit Of Inclusive Competence

The article examines the motivational component of the diagnostic block of inclusive competence using the example of the discipline "Special Psychology". The author proposes to consider it in the context of the formation of a teacher-defectologist's ability to have motivation for an objective / positive perception of persons with special psychophysical development.
Fast Ways to Detect Outliers

The occurrence of tremendous developments in the field of data has led to the formation of huge volumes of data, and it is normal that this leads to the presence of outliers in this data for many reasons, which may have small or large values ​​compared to the rest of the normal data, and the presence of outliers in the data affects the statistical analysis of this data, so we must try to reduce its impact in various ways. On the other hand, the presence of outliers ​​may be of great benefit, for example knowledge of geological activities that precede natural disasters such as (earthquakes, forest fires, floods ... etc.). Therefore, detection of outliers is of great importance in various fields. In this research, we aim to develop easy methods for detecting outliers in big data, as the problem that this research addresses is that many of the newly developed methods for detecting outliers suffer from computational complexity or are efficient when the sample size is small. An experimental approach was used in this research by suggesting three methods for detecting outliers, the first method is based on standard deviation and was tested and compared with the normal distribution method and the z-score method. The second method depends on the maximum and minimum value of the data, and the third method depends on the range between successive data points. The results of second and third methods are compared with Hample's Test method result. The accuracy of the results is measured based on the confusion matrix. The results of the proposed methods test showed the conformity of the first method with the results of the normal distribution method and the Z-Score method, as well as the superiority of the third method over the Hample's test method. In this paper, it was concluded that the Hample's test method suffers from a serious weakness when the zero values in the data constitute more than 50% of the number of elements.
Performance analysis routing protocol between RIPv2 and EIGRP with termination test on full mesh topology

&lt;span&gt;Data access on a company is a very important part of an institution or a college. Especially in the present time, the internet has become an important thing in human life. With the existence of certain means there is a problem that will arise, needed solution or way out on a network that can be called protocol. Because an institution needs to choose network methods properly and safely.This study focuses on addressing the path/route of data packets to be sent will be governed by this routing protocol in the form of table routing. Routing used adip RIPv2 with EIGRP which will be compared on both routing protocol which is better against predetermined situation previous.The result of the research using CISCO Packet Tracer 7.10 software shows that EIGRP routing run on two topologies has faster convergence time speed with an average time of 0.01 - 0.02 seconds as well as the change of its routing table at once. Unlike RIPv2 routing that takes longer than EIGRP routing is with the time range from 0.01 to 0.19. &lt;/span&gt;
IoT: A Mainstay Towards Intelligent Computing

After the .com boom, the next big thing in the 21st century is the “Internet of Things”. The “Internet of Things” is exploding and infusing intelligence globally. From infinitesimal chips to mammoth machineries, billions of smart gadgets communicate with each other with the aid of wireless devices. The day is not far when every physical item will no longer remain disconnected from the virtual world. Presently, your coffee kettle starts automatically when you wake up in the morning and lights go off when you leave home for your office where all devices are controlled/activated through your voice. Dream becomes reality, when the whole world will be running automatically and virtually with the initiation of a command. Connecting ‘Internet of Things’ with ‘Artificial Intelligence’, high-tech and scientific technologies will transform the world into a completely digital world. These two powerful pillars will build super-intelligent e-devices that are ready for new challenges. It will be made possible by evolving IP strategies, Radio Frequency Identification (RFID), embedded sensors, actuators that are intelligently connected in machines and other physical objects. This paper aims to provide an insight into how the third wave of information technology i.e. Internet of Things (IoT) will interconnect the physical world using artificial intelligence. The paper will further discuss the building blocks of the IoT and the perspective areas where it can be implemented smartly.
The Design of Remote Control System Based on the Embedded Web Server

Abstract In order to expedite the development of the control network, according to the newest fruition of the internet, the hardware and software of the system is designed. Since the resource of the sever in embedded remote control system is limited, an approach is presented which use CGI and XML technology to realize remote monitoring computer and embedded Web server for dynamic interaction. Combined with the basic requirements of embedded remote control system, the idea of component design is proposed, the major components of system functions are defined. According to the system functional requirement, the software is designed and realized. The practice prove, the scheme realize the remote control of the transmitter by the small cost. And the system is convenient and safe. The definite reference value is offered to the offspring complex remote control system.
Application of Data Mining Techniques on Tourist Expenses in Malaysia

Tourism plays an important role in Malaysia’s economic development as it can boost business opportunity in its surrounding economic. By apply data mining on tourism data for predicting the area of business opportunity is a good choice. Data mining is the process that takes data as input and produces outputs knowledge. Due to the population of travelling in Asia country has increased in these few years. Many entrepreneurs start their owns business but there are some problems such as wrongly invest in the business fields and bad services quality which affected their business income. The objective of this paper is to use data mining technology to meet the business needs and customer needs of tourism enterprises and find the most effective data mining technology. Besides that, this paper implementation of 4 data mining classification techniques was experimented for extracting important insights from the tourism data set. The aims were to find out the best performing algorithm among the compared on the results to improve the business opportunities in the fields related to tourism. The results of the 4 classifiers correctly classifier the attributes were JRIP (84.09%), Random Tree (83.66%), J48 (85.50%), and REP Tree (82.47%). All the results will be analyzed and discussed in this paper.
Welcome to the Journal of Electronic Theses and Dissertations (J-ETD)

On behalf of the Networked Digital Library of Theses and Dissertations (NDLTD; see our website with multiple aliases: ndltd.org, theses.org, dissertations.org), I welcome you to the first volume of J-ETD. Now is the time to broadly share through an archival journal some of the most interesting discussions related to the global movement around ETDs. We hope you will find this journal to be of interest, and will spread the word that it is globally accessible as an open access archival forum empowering graduate student researchers and universities to broadly contribute to scholarship, knowledge, education, and understanding. We hope you and your associates will use the articles contained herein to help students, researchers, scholars, administrators, librarians, archivists, publishers, and diverse others to expand and improve learning and scholarly communication. We also encourage you and your colleagues to contribute your works and thoughts to this endeavor, or to offer your assistance in other ways, e.g., if you have interest and skill for reviewing or publicity.
FEATURES OF IT TEACHER’S PROFESSIONAL ACTIVITY

The article reveals the features of IT teacher professional activity. We found out the difference between the specialists' training of in other specialties and subject teachers from the professional activity of IT teachers. The use of informatics by the IT teacher has specifics that take into account the efficiency of the educational process, on the one hand, and has a number of limitations, on the other hand.The difference between the activities of the future IT teacher and future specialist in the field of information technology (programmer) is the use of all opportunities of ICT in the educational process and the focus on achieving new educational outcomes namely use, improvement and creation of teaching methods; expert assessment of electronic educational resources; use, design, creation and editing of electronic educational resources; the use of the potential of the distributed information resource; organization of information interaction; management of the educational process on the basis of automation of information and methodological support; psychological and pedagogical diagnostics of the level of education on the basis of computer diagnostic methods of control and assessment of studentsʼ knowledge; development of new software, hardware, as well as methods of using web resources in the educational process, etc.There are three levels of mastering the didactic capabilities of WEB-resources: the level of a Web-resource user, the level of a WEB-resource developer, the level of the teacher of WEB-technologies. The tasks of IT teachers and students in the information and communication educational environment have been highlighted. The specifics of the work of the IT teacher have been revealed. The professional and personal qualities of the future IT teacher have been determined. We defined the “portrait of a modern IT teacher”.
M-Cuckoo and SVM Classification Algorithm Based Opinion Mining

Opinion Mining or Sentiment Analysis is a task in the processing of natural language to find the customers' mood about buying a specific product or subject. It involves developing a framework in many online shopping sites to gather and review opinions about the product made. Opinion mining is a sub-field of the mining of web content. Data mining is a branch of Web content mining. Opinions are statements that reflect the opinion or sentiment of individuals. Opinion on objects or events is also given in this statement. For any person, reviewing consumer review is more relevant in making the right buying product and organization decision. CS is the best search algorithm inspired by cuckoos' breeding behavior. It provides a short overview of the nature-inspired algorithm's applications. The CS algorithm is used in various fields, such as business, image processing, wireless sensor networks, flood forecasting, document clustering, speaker recognition, distributed system shortest path, health sector, job scheduling. In terms of better efficiency and less processing time, the Cuckoo algorithm performs various nature-inspired algorithms. Therefore, this research paper proposes a hybrid feature selection which is a combination of cuckoo search and mRMR (Minimum Redundancy Maximum Relevance) algorithm. Due to the subjective nature of social media reviews, hybrid feature selection technique outperforms the traditional technique. The performance factors like f-measure, recall, precision, and accuracy tested on Amazon dataset using Support Vector Machine (SVM) classifier.
A study of quality prediction for large-scale open source software projects

Open source software (OSS) has seen remarkable progress in recent years. Moreover, OSS usage in corporate information systems has been increasing steadily; consequently, the overall impact of OSS on the society is increasing as well. While product quality of enterprise software is assured by the provider, the deliverables of an OSS are developed by the OSS developer community; therefore, their quality is not guaranteed. Thus, the objective of this study is to build an artificial-intelligence-based quality prediction model that corporate businesses could use for decision-making to determine whether a desired OSS should be adopted. We define the quality of an OSS as “the resolution rate of issues processed by OSS developers as well as the promptness and continuity of doing so.” We selected 44 large-scale OSS projects from GitHub for our quality analysis. First, we investigated the monthly changes in the status of issue creation and resolution for each project. It was found that there are three different patterns in the increase of issue creation, and three patterns in the relationship between the increase in issue creation and that of resolution. It was confirmed that there are multiple cases of each pattern that affect the final resolution rate. Next, we investigated the correlation between the final resolution rate and that for a relevant number of months after issue creation. We deduced that the correlation coefficient even between the resolution rate in the first month and the final rate exceeded 0.5. Based on these analysis results, we conclude that the issue resolution rate in the first month once an issue is created is applicable as knowledge for knowledge-based AI systems that can be used to assist in decision-making regarding OSS adoption in business projects.
Leady: A Multisensory Approach in Mobile Application for Dyslexic Children

Dyslexia is considered the most common appearance of a learning disability in the world. Dyslexic students often suffer from emotional issues because of their educational failure experiences. Dyslexia cannot be cured. However, proper and continuous treatment can help students to achieve better results in their studies. The sooner the intervention happens, the better the outcome will be. The research presents the design and development of a mobile application to help dyslexic students to learn how to read. The application is called Learning Dyslexia (Leady). The Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model is used for developing the application. It uses a multisensory approach as the teaching method. Leady aims at young learners so that they can have the intervention from an earlier age. The application design also complies with the appropriate design for dyslexic students, such as in the selection of used fonts and background color. Then, Leady is demonstrated to five dyslexia caretakers (the teachers or parents) from a dyslexia school in Bandung. From the conducted survey, it can be inferred that the method is integrated well since all respondents agree that Leady can help dyslexic students to learn how to read. Most of them agree that the used method in Leady is suitable for dyslexic students.
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining

This work presents methods for learning crosslingual sentence representations using paired or unpaired bilingual texts.We hypothesize that the cross-lingual alignment strategy is transferable, and therefore a model trained to align only two languages can encode multilingually more aligned representations.We thus introduce dual-pivot transfer: training on one language pair and evaluating on other pairs.To study this theory, we design unsupervised models trained on unpaired sentences and single-pair supervised models trained on bitexts, both based on the unsupervised language model XLM-R with its parameters frozen.The experiments evaluate the models as universal sentence encoders on the task of unsupervised bitext mining on two datasets, where the unsupervised model reaches the state of the art of unsupervised retrieval, and the alternative single-pair supervised model approaches the performance of multilingually supervised models.The results suggest that bilingual training techniques as proposed can be applied to get sentence representations with multilingual alignment.
THE PLACE OF THE TEXTBOOK IN THE INFORMATION AND COMMUNICATION COMPONENT OF THE GYMNASIUM EDUCATIONAL ENVIRONMENT

This article outlines the problem of determining the place of the textbook as an information and communication component of the educational environment of the gymnasium, the importance of which is growing during the rapid development of innovative technologies. In the article were analyzed various approaches of scientists to this question, trends in the use of electronic textbooks as a modern pedagogical software in the educational environment of the gymnasium, the creation of multimedia presentations that provide computer support for learning in the structure of technology for the development of critical thinking. Given the definitions of such concepts as: : «educational environment of the educational institution» and «pedagogical technology», «intellectual interface», «educational multimedia presentation», «information and communication component of the educational environment of the gymnasium». Emphasized the importance of using electronic teaching aids without harming the health of students. The focus is on the leading functions of the modern electronic book in the information and communication component of the educational environment of the gymnasium, which allows to successfully implement the tasks of the educational process, influence the information base, type of interpersonal relationships, ways of interaction with the environment, freedom of expression, cultivation of individuality, creative self-creativity, personality. Highlighted the peculiarities of the growing role of the schoolbook which deepens the significance of the modern traditional and electronic book, expands the variability of its functions in the conscious assimilation of knowledge provided by school programs. Based on the study of scientific sources, educational and methodical works, it is investigated that the modern traditional and electronic textbook occupies an important place in the information and communication component of the educational environment of the gymnasium, and should provide any desired level of study, not be designed for the average student.
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing

Meta-learning, or learning to learn, is a technique that can help to overcome resource scarcity in cross-lingual NLP problems, by enabling fast adaptation to new tasks.We apply model-agnostic meta-learning (MAML) to the task of cross-lingual dependency parsing.We train our model on a diverse set of languages to learn a parameter initialization that can adapt quickly to new languages.We find that meta-learning with pre-training can significantly improve upon the performance of language transfer and standard supervised learning baselines for a variety of unseen, typologically diverse, and low-resource languages, in a few-shot learning setup.
Round-Robin Differential Phase-Time-Shifting Protocol for Quantum Key Distribution: Theory and Experiment

Quantum key distribution (QKD) allows the establishment of common cryptographic keys among distant parties. Many of the QKD protocols that were introduced in the past involve the challenge of monitoring the signal disturbance over the communication line, in order to evaluate the information leakage to a potential eavesdropper. Recently, a QKD protocol that circumvents the need for monitoring signal disturbance, has been proposed and demonstrated in initial experiments. Here, we propose a new version of this so-called round-robin differential phase-shifting (RRDPS) protocol, in which both time and phase degrees-of-freedom are utilized to enlarge the Hilbert space dimensionality, without increasing experimental complexity or relaxing security assumptions. We derive the security proofs of the round-robin differential phase-time-shifting (RRDPTS) protocol in the collective attack scenario and benchmark the new protocol against RRDPS for different experimental parameters. Furthermore, a proof-of-concept experiment of the RRDPTS protocol, using weak coherent pulses and decoy-state method, is demonstrated over 80 km of fiber link. Our results show that the RRDPTS protocol can achieve higher secret key rate in comparison with the RRDPS, in the condition of high quantum bit error rate.
Remote Prophylaxis of Social and Educational Adaptation of University International Entrants in Total Pandemic

The relevance of the study is due to the trends of the global pandemic, which provoked an extremal transition of all areas of higher education to distance learning, as the only possible way to work with domestic and international entrants and students. In addition, the trends of the pandemic in the current educational environment also determine the special need to develop remote mechanisms for a prophylaxis approach to solving the problems of social and educational adaptation of international entrants – future University students. In this regard, this article is aimed at identifying the features of remote prophylaxis of social and educational adaptation of entrants. The article reveals the transformation of social and educational adaptation of international entrants in the global pandemic; defines the structure and content of remote prophylaxis of social and educational adaptation of international University entrants in the global pandemic. Based on the results of the research, the authors of the article substantiate the prophylaxis model of the educational and software complex for remote prophylaxis of social and educational adaptation of University international entrants. The effectiveness of the model is proved by the results of its use in the process of remote social and educational adaptation of University international entrants in the context of a global pandemic. The materials of the article have practical application and can be useful in the development and implementation of various methods and practices of social and educational adaptation of international entrants – future University students in the context of a global pandemic. It is recommended for University teachers and students, methodologists, curators, Tutors.