Reviewerly/exHarmony huggingface dataset:
A Study on Automatic Attention Span Detection of Students

Due to the arrival of the coronavirus, the education system has completely transformed. In the wake of this medical emergency and keeping the students' safety in mind with their academic concern, the schools and colleges have endorsed online classes. In online lectures, the teacher is unable to track attentiveness of the students. Academic institutions may not have the human resources or time required to manually analyze each student's video feed. The task of manually analyzing attention of students can be solved by automating it using Computer Vision and Machine Learning, by creating an application that can track the attention levels of each student. An automated solution would be a much cheaper and easier solution to this problem, alongwith the fact that it can eventually be applied to self-paced online courses as well.
THE PROBLEM OF ADAPTING THE METHODOLOGY OF TEACHING DIFFERENTIAL EQUATIONS AT SCHOOL

The general properties of the solution of a homogeneous equation are given. Solutions of a homogeneous linear ordinary differential equation of the second order with constant coefficients in three cases related to the coefficients of the equation are investigated. The obtained results are justified in the form of a theorem. These conclusions are proved in the framework of the methods of high school mathematics. This theory, known in general mathematics, is fully adapted to the implementation in secondary school mathematics and developed with the help of new elementary techniques that are understandable to the student. The main purpose of the work was to develop methods for solving a linear homogeneous differential equation of the second-order at a level that a schoolboy can master. The result will be the creation of a special course program on the basics of ordinary differential equations in secondary schools of the natural-mathematical direction, the preparation of appropriate content material, and providing them with a simple teaching method.
STUDENT MODELLING ON LANGUAGE TEACHING BASED ON BAYESIAN NETWORKS

Acquiring a reliable student model is the principal task of an Intelligent Tutoring System (ITS). A precisely defined student model is also the key term for the success of ITSs. In this paper, a study on inferring the accurate student model on language learning is offered by utilizing artificial intelligence. In addition to the general structure of an ITS, a probabilistic model for inference using Bayesian Networks is stated in the paper. Bayesian Networks are acyclic directed graphs in which nodes represent random variables and arcs represent direct probabilistic dependences among them. In this study, graphical models and structures are implemented in a general-purpose decision modelling system SMILE and its Windows user interface, GeNIe, developed at the Decision Systems Laboratory. GeNIe user interface is also used in this study to perform Influence diagrams. Influence diagrams represent decision problems and help to choose a decision alternative with the highest expected gain. Toward the end of the study, an ITS student model which is directly associated with a standard proficiency level is aimed to be developed. This model is also complemented with a domain model which incorporates language components such as grammar, vocabulary, and functions of language in different cases. At the end of the study, an evaluation of the model is performed with an experimental study and the results show that the participants worked with offered ITS model gathered close results when compared to those obtained by the participants who worked with a real tutor.
Analysis of Risk Assessment on Electronic Services using OCTAVE Allegro Framework

Awareness of the importance of information system security and its assets and impacts what might happen as a result of damage to the information system and its assets still seems to have not received the attention of most organizations.LIPI BPTBA correspondence services are managed using an information system that can manage correspondence services in the organization.This system is called TNDE (Electronic Service Manuscript Administration).TNDE allows for risks that can interfere with information assets and the main objectives of the organization but cannot be separated from problems so that it creates risks to security and information assets.This study aims to analyze risk management assessments using the framework Octave Allegro that organizations can determine risk priorities and create a mitigation approach to risks that may occur in TNDE services.Octave Allegro has four phases and eight stages, namely building risk measurement criteria, developing information asset profiles, identifying containers information asset, identifying areas of concern on aspects technical, physical, and people container, identifying threat scenarios, identifying risks, analyzing risks, and choosing an approach.Mitigate the risks that may occur.Based on the final results of interviews and risk assessments that have been carried out at the TNDE BPTBA LIPI Yogyakarta service, the results of the approach mitigate are 2, defer is 3, and accept is 2. The highest risk that needs to be prioritized is from the aspect physical container with a value of 32, while the smallest risk is a technical container with a value of 15.Thus this research that has been carried out can provide benefits for BPTPA LIPI Yogyakarta.
Pengamanan Backup dan Restore Basis Data dengan Penambahan Enkripsi Advanced Encryption Standard (Studi Kasus: Analisis Jabatan Bagian Organisasi Kabupaten Balangan)

Job analysis is needed to analyze and design what work to do, how to do it, and why the work should be done. Job analysis will provide information about job descriptions, job specifications, and job evaluations and can even predict job enrichment or expansion and job simplification in the future. This study aims to implement database security management procedures as a measure to prevent damage (error), loss and theft of data through backup and restore methods accompanied by encryption in the Job Analysis System application of the Balangan Regency Organization Division (Simanja). The backup process by adding Advanced Encryption Standard (AES) encryption which is stored to remote cloud hosting as a backup server using SSH Transfer Protocol (SFTP) provides adequate and efficient security.
"Retrieving and Processing Images from the Pages of a Historical Newspaper and Modeling the Text Topics"

Historical newspapers are a source of research for the human and social sciences.However, these image collections are difficult to read by machine due to the low quality of the print, the lack of standardization of the pages in addition to the low quality photograph of some files.This paper presents the processing model of a topic navigation system in historical newspaper page images.The general procedure consists of four modules which are: segmentation of text sub-images and text extraction, preprocessing and representation, induced topic extraction and representation, and document viewing and retrieval interface.The algorithmic and technological approaches of each module are described and the initial test results about a collection covering a range of 28 years are presented.
비대면 수업에서 온라인 블렌디드 러닝 적용이 작업치료과 대학생의 수업만족도와 학 업성취도에 미치는 영향

Purpose : The purpose of this study is to explore the effectiveness of online blended learning(asynchronous online learning class 1+synchronous online learning class 2) method and discuss the applicability of online blended learning. In this study, we will analyze the differences in class satisfaction and academic achievement between asynchronous online learning and online blended learning classes, and discuss the strengths, weaknesses, and satisfactions of online blended learning.Methods : The subjects of this study were 39 of the occupational therapy students who took the ‘child development’ course. Asynchronous online learning class was applied for 1-6 weeks and online blended learning was applied for 9~14 weeks. The online blended learning class consisted of 1 hours synchronous online learning and 2 hours asynchronous online learning. For the asynchronous online learning, the screen recording program of OBS Studio was used, and for the synchronous online learning, the Zoom program was used. The results of course evaluation and academic achievement of students according to the type of lecture were compared, and a survey was conducted on the satisfaction of online blended learning.Results : The results of this study are as follows. First, satisfaction(A class: t=-4.19, p=.001, B class: t=-7.94, p=.00) with online blended learning classes was significantly higher than asynchronous online learning. Second, when applying online blended learning class, academic achievement(t=-10.58, p=.00) was significantly higher. Third, the online blended learning class showed the highest satisfaction in improving the interest in the subject, and it was found to be helpful in online class management, professor-student interaction, and class content understanding.Conclusion : We have found that online blended learning can compensate for the shortcomings of online lectures and increase the quality of the lectures and the satisfaction of students. The application of online blended learning should be supplemented according to the characteristics of each class, and I hope that blended online teaching methods can be developed based on new ideas in the future.
Combining Weakly Supervised ML Techniques for Low-Resource NLU

Recent advances in transfer learning have improved the performance of virtual assistants considerably.Nevertheless, creating sophisticated voice-enabled applications for new domains remains a challenge, and meager training data is often a key bottleneck.Accordingly, unsupervised learning and SSL (semisupervised learning) techniques continue to be of vital importance.While a number of such methods have been explored previously in isolation, in this paper we investigate the synergistic use of a number of weakly supervised techniques with a view to improving NLU (Natural Language Understanding) accuracy in lowresource settings.We explore three different approaches incorporating anonymized, unlabeled and automatically transcribed user utterances into the training process, two focused on data augmentation via SSL and another one focused on unsupervised and transfer learning.We show promising results, obtaining gains that range from 4.73% to 7.65% relative improvements on semantic error rate for each individual approach.Moreover, the combination of all three methods together yields a relative improvement of 11.77% over our current baseline model.Our methods are applicable to any new domain with minimal training data, and can be deployed over time into a cycle of continual learning.
Identifying Factors Leading To Gold Losses During The Fabrication Process And Assessing Its Impact On The Smes Jewellery Industry.

This study intended to determine the level of awareness by the Kelantan Jewellers House on how much is the impact of gold losses during the jewelry-making process to their business.  The study focuses more on Kelantan State due to their popularity and existence of a chain of small and traditional craftsmen. Most local operators are still preserving the traditional way of fabrication and production techniques, tools, methods whilst maintaining the Malay aesthetic value in all aspects of fabrication. This unique value proposition inherited from their legacy lineage was taught throughout the generations and now adopted by the younger craftsmen in rank. Ironically, the manual process and traditional fabrication techniques were seen as less efficient due to the higher amount of gold scrap as compared to modern techniques.Hence, this paper aims to ascertain the findings and to validate the assumptions that the manual and traditional technique does indeed contributes to a higher amount of gold losses that adversely affecting the yield and economic returns of the small fabricators in Kelantan, whilst formulating the right action plans to mitigate and resolve the issues effectively.
Article Sistem Informasi Pengelolaan Masjid Darussalam GKB2 berbasis Web

One computer-based information system is the website, usually in its online form. The amount of activity, financial management and data processing still conducted in manual bogies of difficulty. To address that problem requires easily accessible system of management, at any time, anywhere, precisely, fast and accurate by the mosque and community. On that basis it developed a web based mosque management information systems that are made with a PHP programming language, javascript and mysql database. The goal of the system is to make it easier for the mosque to manage the financial data, to manage activities of the mosque and to make it easier for the public to search for information on the existing website system.&#x0D; The sequence of these studies includes critical analysis, system desaign, implementation, testing and maintenance. The Darussalam mosque management system was tested by the black box method and focused on functional requirements using alpha testing.&#x0D; This research examination is still ina purely functionality testing phase incolving unintended objects can occur without specific testing especially on the interface part where ddynamic programming of the interface elements blending in using HTML and CSS presentation of documents. So in running the system as a web-based application, it should affect the web browser in running the system.
CYBERTERRORISM: AN ATTEMPT OF PHILOSOPHICAL AND LEGAL UNDERSTANDING

Problem setting. Ukraine continues its integration processes with the international community, in particular, with the European Union and NATO. But comprehensive integration leads to the fact that Ukraine is forced to integrate into the negative processes from which the modern world suffers and with which it tries to fight. With the rapid development of the Internet, its use with criminal intent is probably developing at the same rate. Novelty, level of danger, volumes of received and future possible losses of this type of crime contributed to the formation of such a dangerous phenomenon as cyberterrorism. Accordingly, there is a new task for world scientists – to understand the essence of the concept of cyberterrorism most accurately and generally, to explore its deep aspects, to develop a single conceptual apparatus and to propose a system of preventive measures.&#x0D; Recent research and publications analysis. The topic of information terrorism within the Ukrainian cyberspace, as well as its inseparable interaction with the world wide web, theoretical aspects of this phenomenon, disclosure of concepts related to cybercrime are covered in the publications of such domestic researchers as S. Hnatyuk, О. Gerashchenko, V. Ostroukhov, M. Prysyazhnyuk, I. Diorditsa, O. Trofimenko, Yu. Prokop, I. Aristova, V. Tsymbalyuka, O. Zadereiko, O. Bogdanov, O. Drozhchan, M. Gutsalyuk and others. A number of well-known foreign scientists and philosophers have devoted their works to the study of the phenomenon of terrorism in the context of globalization and the rapid development of information and communication technologies, in particular E. Toffler, B. Hoffman, A. Schmid, D. Bell, J. Baudrillard, E. Giddens, F. Fukuyama and others.&#x0D; Paper objective. This article aims to formulate a generalized definition of "cyberterrorism", its key elements, sources, features of implementation, specificity and classification through the method of deduction (derivation of true knowledge from the general term "terrorism" to specific - "cyberterrorism").&#x0D; Paper main body. The opinion of domestic and foreign scientists on the concept of cyberterrorism is analyzed. Based on the considered opinions, the authors try to show the peculiarities of cyberterrorism and reveal its danger to society as a whole and individuals. Finally, the authors turn to the analysis of Ukrainian legislation on cyberterrorism.&#x0D; Conclusions of the research. Taking into account all the mentioned above, the state should introduce appropriate training systems for integrated skills and abilities that are necessary to support the goals of cybersecurity in secondary and higher schools, conduct cybersecurity briefings, increase digital literacy and the culture of safe behavior in cyberspace, as well as timely report about new threats and ways to avoid them.
Critical Questions in STEM Education

CATALOG&#x0D; Book title: Critical Questions in STEM Education&#x0D; Author: Valarie L. Akerson and Gayle A. Buck (Editors)&#x0D; Publisher: Springer Nature Switzerland AG&#x0D; Publication Date: 2020&#x0D; ISSN: 1878-0482 &amp; 1878-0784 (electronic)&#x0D; ISBN: 978-3-030-57645-5 &amp; 978-3-030-57646-2 (ebook)
Monitoring Fasilitas Pertamanan Kota Gorontalo Berbasis Sistem Informasi Geografis

City Park is part of the city's green open space, its existence has the meaning of securing natural ecosystems that have a great influence on the existence and survival of the city itself. The number of city parks in the city of Gorontalo also requires little cleaning and maintenance personnel. To find out the performance of officers in the field, we need a system that is able to monitor the results of the work, making it easier for the relevant offices to control the conditions, facilities and functions of the city park. This research is intended to build a geographic information system that will be used for monitoring park facilities equipped with related information that is easily accessible by the local government, especially the City Planning and Landscaping Office of Gorontalo City. This study uses the programming language PHP (PHP: Hypertext Preprocessor) and MySQL database, using descriptive methods, then implement this design to find out and measure the level of ease, speed of information, and accuracy of information. The results of the study based on the data obtained were then tested using the White Box Testing method and Bases Path Testing. From the data obtained then a flowgraph design was made. Flowgraph that is tested is the process of finding a location of a garden. From the results of the calculation of the White Box Testing and Bases Path Testing test methods, the results of the calculation results obtained that have met the requirements in terms of software feasibility. Based on the results of testing with the White Box Testing, and Base Path Testing method above, it can be concluded that true system logic can produce a system that is effective and efficiently logically, and is expected to facilitate the processing of said data.
A Robust Multivariate Outlier Detection Method for Detection of Securities Fraud

Insider trading is one the most common deceptive trading practice in securities markets. Data mining appears as an effective approach to tackle the problems in fraud detection with high accuracy. In this study, the authors aim to detect outlying insider transactions depending on the variables affecting insider trading profitability. 1,241,603 sales and purchases of insiders, which range from 2010 to 2017, are analyzed by using classical and robust outlier detection methods. They computed robust distance scores based on minimum volume ellipsoid, Stahel-Donoho, and fast minimum covariance determinant estimators. To investigate the outlying observations that are likely to be fraudulent, they employ event study analysis to measure abnormal returns of outlying transactions. The results are compared to the abnormal returns of non-outlying transactions. They find that outlying transactions gain higher abnormal returns than transactions that are not flagged as outliers. Business intelligence and analytics may be a useful strategy for detecting and preventing of financial fraud for companies.
Virtual laboratory «Multimedia Dictionary of Infomedia Literacy»

International scientific and practical conference «Philological sciences, intercultural communication and translation studies: an experience and challenges» : conference proceedings, April 23–24, 2021. Czestochowa : «Baltija Publishing», 2021. 586 pages.
PID-Fuzzy control design for a nonlinear inverted pendulum

This study aims to present a PI-Fuzzy and PID-Fuzzy design to control the position while maintaining the balance of an inverted pendulumsystem. This type of system is well known for its challenge in carrying out the control and its similarities and applications in other systems, such as transport vehicles and robots. Thus, being a famous and important system to be used as a control benchmark. Nonlinear dynamic equations for the inverted pendulum where obtained through the Lagrange formulation. An adaptive PI-Fuzzy and PID-Fuzzy controller was designed and implemented on the nonlinear model. The final results demonstrate a great increase in performance, both on displacement and dynamics balance, when compared to the classic PI and PID controllers, especially when in the presence of parametric changes in the system
Cryptocurrency and Blockchain: A Comparative Study and Analysis

When we look at our history, we people used “commodity currency.” Later Fiat currency was introduced as an alternative to this commodity currency and now, it is most leading form of currency. But this is not the end of economic history as they introduced Cryptocurrency. Cryptocurrency is neither commodity currency nor fiat currency but an experimental kind of currency. In recent years emerged lots of cryptocurrencies, starting from the most standard “Bitcoin” to the latest “Libra (Diem)”. In this paper we studied what cryptocurrency is and various policy makers, basic aspects of cryptocurrencies followed by characteristics and factors effecting the price of cryptocurrency. The main idea of cryptocurrency analysis is to provide an overall information about several cryptocurrency and helps focusing on the use of cryptocurrency in various fields.
PENERAPAN METODE PARTIAL LEAST SQUARE REGRESSION (PLSR) PADA KASUS SKIZOFRENIA

Partial Least Square Regression (PLSR) is a method that combines principal component analysis and multiple linear regression, which aims to predict or analyze the dependent variable and more than one independent variable. The purpose of this study is to determine the equation model for the recurrence of schizophrenia patients using the PLSR method. The best number of components to form a PLSR model in this study is one component with a minimum RMSEP value of 0.6094 and an adjR2 value of 80.09 percent.
Sistem Pendukung Media Pembelajaran Menggunakan Chatbot dan LINE Pada PKBM Berdaya Indonesia

The purpose of this study was to develop a learning model by utilizing chatbot technology that was integrated with LINE's chat media for the Indonesian C-based PKBM package C program. The learning model that was built functioned as a support system for learning media to independently learn access to learning materials, discussion and work on the questions and discussion of National Examination exercises distributed from a content management system (CMS) through a program. The research method is composed using the Systems Development Life Cycle (SDLC). The analysis is done by identifying the problems of the learning system business processes that are running. The results of this study are chatbot-based learning models that are integrated with the LINE chat application which contains the distribution of material, practice questions, discussion to an evaluation of student learning that will help the teaching and learning system in Indonesian-powered PKBM.