Reviewerly/exHarmony huggingface dataset:
Design of a Low-Cost IoT-Based Smart-Watch to Aid Alzheimer’s Patients and Caretakers

Alzheimer's disease (AD) is a chronic degenerative condition marked by increasing memory problems as well as psychological/behavioral abnormalities that eventually result into dementia. Currently, there is no available potent treatment for Alzheimer's illness as many treatment methodologies are still in the experimental stage. Hence, it is imperative to develop rehabilitative technologies that will help manage symptoms and enhance the quality of lives of patients. Due to a lack of available caretakers and due to the extensive costs of hiring them, some families are not able to afford caretakers and are forced to act as caretakers themselves and carry out their jobs at the same time. In this paper, we present a low-cost smartwatch to help patients enhance quality of their lives, help rehabilitation, and help out caretakers by providing regular information about the patient. The tasks performed by the proposed device includes monitoring and reminding patients of daily activities.
Tokyo 2020 Olympics and Paralympics Mascot: A Semiotic Perspective

Tokyo was chosen again to hold the world biggest sports event, Olympics and Paralympics in 2020.Preparations have been made for Tokyo to hold the once in four years sports event, such as venues, infrastructure development, and also the mascots selection.Two mascots have been chosen to represent the 2020 Summer Olympics and Paralympics, they are Miraitowa as Olympic mascots, and Someity as Paralympic mascots.In this article, the author uses Charles Sander Pierce's theory that says, the universe is filled with signs or exclusively composed of signs.All that can be seen, noticed or made detectable can be known as a sign.Something in question can be in the form of ideas, thoughts, experiences (something experienced) or feelings, signs are not limited to objects or objects.
COMPARISON OF OBJECT-ORIENTED AND FUNCTIONAL PROGRAMMING PARADIGMS IN SOFTWARE DESIGN

This article describes two types of paradigms – object-oriented and functional paradigms. Paradigm stands for a style and an approach to perform any kind of coding activities. Relevance of usage for each of them as well as their differences and benefits were analyzed. Regardless of ever-changing tendencies in popularity of both paradigms it is impossible to acknowledge any of them to deprecate another one. Although object-oriented programming as well as functional programming are essential in their approaches they have the same goal – to make comprehensive programs without possible mistakes. OOP follows imperative programming model which is based on a set of primitives the given language provides. Functional paradigm is intertwined with declarative style which imply what is to be done, but not how to do it. We may come to conclusion that the consensus is that object oriented paradigm and functional paradigm can be effective in a peculiar situation. Therefore, developers are to choose and pick the programming paradigm for a given task to make a process as simple and productive as it can be. Object-oriented programming languages are a good choice when you have a fixed set of operations on things and you add new things for your code to evolve. You can achieve it by adding new classes that implement existing methods while existing classes remain the same. Functional languages may be a better choice if you have a fixed set of things and you add new operations on existing things for your code to evolve. You can achieve it by adding new functions which are to be computed with existing data types while existing functions remain the same. Object-oriented programming as well as functional programming has its place in modern approaches to software development. Meanwhile the functional programming is being reconsidered and used much more often due to Big Data Technologies while object-oriented programming remains popular to perform representation of real-life objects in the code.
PERAN ORANG TUA DALAM PENGEMBANGAN KARAKTER DISIPLIN ANAK PADA PEMBELAJARAN DARING SISWA KELAS 2 SDIT INSAN KARIMA

Parents play a very important role in the online learning process, because parents directly monitor children at home, so with parental assistance at home, it is hoped that children will easily adapt and form disciplined characters in online learning. The theories used in this study include the theory of the main role played by parents in developing children's character (Zubaedi, 2011), the role of parents in assisting children's learning (Lailiyatul &amp; Faridhatul, 2020), the formation of disciplined characters (Tu'u, 2004) and online learning (Alimuddin, Tawany, &amp; Nadjib, 2015). The data collection tools that the author uses in this study are: observation, interviews, literature study and documentation. This study uses a descriptive qualitative research with the subject of homeroom teachers, students and parents of grade 2 students at SDIT Insan Karima Nagrak Cangkuang. The results of this study include: the role of parents in developing the disciplined character of children in online learning is done by accompanying children during learning and trying to be a learning partner at home, being a motivator, facilitator so as to create a comfortable learning atmosphere, and giving rewards in the form of gifts that are useful for students. child. Constraints experienced by parents of SDIT Insan Karima students include lazy children in doing assignments, too busy with gadgets, bored, bored and easily distracted by other activities at home. The conclusion of this study is that parents of grade 2 SDIT Insan Karima students successfully carried out their role as parents in online learning companions well. This has an impact on student achievement and activity during online learning.
Education Acceleration: Why or Why Not?

Some children are performing in school several years ahead of their age peers. The major objective of educational acceleration is to find a more suitable educational environment for students who already have demonstrated performance far beyond the normal classroom in educational attainment. In the current atmosphere favoring inclusion, it might be difficult to convince educational administrators of the desirability of separating off a group of gifted students for special instruction. In addition to convenient access to advanced study, distance learning can provide learning opportunities that highlight the student's ability to do the work, without concern for his or her age or personal characteristics. A relatively new approach has been the development of special residential schools devoted to establishing a complex program of studies for gifted students in mathematics and science. It may be necessary to provide information for the school to help educators make better and more informed decisions. .
Linear Regression Approach to Fuzzy Cognitive Maps with History Data

Methods of linear regression analysis are applied to fuzzy cognitive map construction according to history data from the standpoint of quantitative human sciences.When the linearized version of history data is also used, this construction may be reduced to ordinary linear regression analysis.This linearization applies the inverted transformation functions of the fuzzy cognitive maps.Our approach will avoid subjective reasoning and interpretation on these model outcomes by relying on the objective and well-justified statistical theories instead.
A Concept Map of Terminologies and Disciplines for the Executable Model Lifecycle

The Executable Models (ExM) research area is an ascending discipline that explores the use of models capable of being executed during the software development process. The research area is overloaded with terms and concepts derived from several areas. There is also ambiguities and an absence of consensus on definitions. This is a problem not only for newcomers in the area but it can generate unproductive studies and conﬂicts among researchers. However, there is not yet a study presenting those concepts in a concise and structured manner. Thus, this study aims to collaborate with the research area with a collection of relevant concepts and their definitions. The concepts were obtained from a literature review where we collected relevant studies from several disciplines. We organized those concepts into a concept map that establishes the relationship between concepts while presenting them separated by disciplines.
Estafet Writing Technique in Teaching Writing Recount Text at Pesantren An-Nur Padangsidimpuan in Covid-19 Era

The main focus of the research is to find out the effect of Estafet Writing Technique on writing Recount Text at Grade XI Pesantren An-Nur Padangsidimpuan in Covid-19 era. This research was designed with quantitative research with experimental method. The sample were XI 1 as experimental class that consisted of 11 students and XI 2 as control class that consisted of 10 students. The data were collected through pre-test and post-test in essay test form and analyzed by using t-test formula. The finding showed that the mean score of experimental class was higher than the mean score of control class. After doing T-test, the researcher found that tcount ttable (6.49 2.093). Therefore, alternative hypothesis (Ha) of this research was accepted null hypothesis (H0) was rejected. It can be concluded that there was significant effect of using Estafet Writing Technique on writing Recount Text at grade XI students of MA An-Nur Padangsidimpuan in Covid-19 Era
User Activity Classification and Domain-Wise Ranking Through Social Interactions

Twitter has gained a significant prevalence among the users across the numerous domains, in the majority of the countries, and among different age groups. It servers a real-time micro-blogging service for communication and opinion sharing. Twitter is sharing its data for research and study purposes by exposing open APIs that make it the most suitable source of data for social media analytics. Applying data mining and machine learning techniques on tweets is gaining more and more interest. The most prominent enigma in social media analytics is to automatically identify and rank influencers. This research is aimed to detect the user's topics of interest in social media and rank them based on specific topics, domains, etc. Few hybrid parameters are also distinguished in this research based on the post's content, post’s metadata, user’s profile, and user's network feature to capture different aspects of being influential and used in the ranking algorithm. Results concluded that the proposed approach is well effective in both the classification and ranking of individuals in a cluster.
A Python-Based Interface Design for Electric Power System Education.

Python, which is widely used today, is one of the open-source programming languages. In the Python program, its interface is done through the PyQt5 library. With PyQt5, it is possible to develop object-based software that takes up less space on the disk and runs faster. In this study, an educational calculation and analysis program (ITUPSA) was designed for the Electric power systems course using the Python interface. Electric power systems are one of the fundamental courses in electrical engineering. This main course is taught in three sub-course groups as energy transmission-distribution, energy flow and energy economy. The energy transmission-distribution course package constitutes the first and most comprehensive part of the electric power systems group. In the energy transmission-distribution, the creation of the transmission line model and the calculation of the line parameters form an important part of the training. This section contains very detailed mathematical calculations and it is very important that students get the correct result as a result of these calculations. This can be possible with a lot of practice. The interface design was made by students and faculty to teach practical examples correctly. This developed (ITUPSA) python-based interface program is very suitable for calculation and analysis exercises in both undergraduate and graduate courses in the Electrical Engineering department. The purpose of this study is to create a python-based interface in order to solve the problems related to these lines, to make the types of short, medium and long power transmission lines correct and understandable. In the study, after selecting the type of energy transmission line and all parameters related to the line, the necessary mathematical analysis can be made and also the analysis results can be plotted. The analysis program is available in two languages, English and Turkish.
On the Quality of Compositional Prediction for Prospective Analytics on Graphs

Recently, micro-learning has been successfully applied to various scenarios, such as graph optimization (e.g. power grid management). In these approaches, ad-hoc models of local data are built instead of one large model on the overall data set. Micro-learning is typically useful for incremental, what-if/prospective scenarios, where one has to perform step-by-step decisions based on local properties. A common feature of these applications is that the predicted properties (such as speed of a bus line) are compositions of smaller parts (e.g. the speed on each bus inter-stations along the line). But little is known about the quality of such predictions when generalized at a larger scale.In this paper we propose a generic technique that embeds machine-learning for graph-based compositional prediction, that allows 1) the prediction of the behaviour of composite objects, based on the predictions of their sub-parts and appropriate composition rules, and 2) the production of rich prospective analytics scenarios, where new objects never observed before can be predicted based on their simpler parts. We show that the quality of such predictions compete with macro-learning ones, while enabling prospective scenarios. We assess our work on a real size, operational bus network data set.
Digital media technology and social change: a study of the phenomenon of electronic blackmail in social media in Oman: DOI: 10.46988/IJMMC.03.01.2021.03

Since the mid-nineties of the last century, the Arab world has witnessed a massive information and communication revolution represented by the emergence of the Internet. Social media emerged as one of the tributaries of that technological revolution. The Gulf Cooperation Council countries were among the most affected by this technological development in communication for their economic development. After she was amazed at the revolution of satellites and the multiplicity of her television channels, she found herself in front of new means of communication, knocking on her door without permission. Like any recent technology, it has countless advantages and disadvantages, disadvantages, and benefits. Social media has led to profound social transformations in the Arab Gulf states, as it is among the most technologically active countries, according to a report by the International Telecommunication Union.The research paper discusses the social changes that accompanied the emergence of these new means of communication, focusing on the negative side that accompanied it, such as the phenomenon of electronic crime, and precisely the phenomenon of electronic extortion in the Sultanate of Oman, which international statistics indicate that the number of Internet users at the end of January 2019 reached approximately 3,780,000, which represents 77% of the total population. Furthermore, the study aims to find out the behavioral changes that accompanied the negative use of social media in the Sultanate of Oman by shedding light on the phenomenon of electronic extortion as an alien phenomenon in the conservative Omani society.After analyzing the statistics issued by the official authorities, the study concluded that the most significant number of cases of electronic extortion recorded in the Sultanate was in 2017, the year in which the number of users of social media increased by 600,000 new users. Therefore, to avoid these crimes, we must educate young people by emphasizing the danger of these electronic crimes in our Arab societies and educating parents to monitor their children's behavior on these media platforms.
A Sentiment-Based Author Verification Model Against Social Media Fraud

The widespread and capability of Iot devices have made them a primary enabler for online fraud and fake authorship on social media.We present a novel approach, which uses sentiment analysis, to solve the problem of author verification in short text.We perform experimentation with our model on tweets, and show that it yields promising results.
Sistem Informasi Manajemen Organisasi Perannya dalam Pengambilan Keputusan dan Pemecahan Masalah

The purpose of this research is that management information systems provide accurate and timely information needed to facilitate the decision-making and problem-solving processes that enable the implementation of planning, control and operational functions to run effectively. The approach in scientific writing uses a qualitative descriptive method. The results of this study indicate that the development and management of MIS in an organization is able to trigger decisions that are not only fast and accurate but will also be in line with the best practices in the organization effectively and efficiently. Information has become an important source for managing modern organizations.&#x0D; Keywords: Management Information Systems (MIS), Decision Making and Problem Solving
A Neural Graph-based Local Coherence Model

Entity grids and entity graphs are two frameworks for modeling local coherence. These frameworks represent entity relations between sentences and then extract features from such representations to encode coherence. The benefits of convolutional neural models for extracting informative features from entity grids have been recently studied. In this work, we study the benefits of Relational Graph Convolutional Networks (RGCN) to encode entity graphs for measuring local coherence. We evaluate our neural graph-based model for two benchmark coherence evaluation tasks: sentence ordering (SO) and summary coherence rating (SCR). The results show that our neural graph-based model consistently outperforms the neural grid-based model for both tasks. Our model performs competitively with a strong baseline coherence model, while our model uses 50% fewer parameters. Our work defines a new, efficient, and effective baseline for local coherence modeling.
Pengembangan Database Evaluasi Kinerja Dosen Berbasis Android di STKIP PGRI Lubuklinggau

The purpose of this research is to manage an android-based lecturer performance database. The approach in this study uses a systems approach with a waterfall model. The steps in developing the model are; 1) requirements analysis, 2) design, 3) implementation and unit testing. 4) integration and system test. The results of the study, the results of the database expert validation include; study programs, lecturers, courses, classes, students, and reports are appropriate to use. Website expert validation is carried out on 5 indicators, namely; a) content, b) readibility, c) speed, d) technological sophistication, and e) access worth using. Conclusion, Implementation of android-based lecturer performance database is feasible to use.&#x0D; Keywords: Android, Database, Lecturer Performance&#x0D; &#x0D;
Cashless Transactions and Retail Fraud

This study focuses on the role of cashless transactions in mediating the relationship between these factors and local government spending fraud.Researchers conducted literature searches, observations, and interviews with respondents and obtained baseline data through the distribution of questionnaires.Respondents to this survey are civil servants who were and still are involved in the local government spending process in Indonesia from 2013 to the fiscal year 2020.324 The questionnaire was responded to, but only 307 responses could be processed because 17 data were damaged because they were filled in by the same person and not written by the authorized official.The data obtained were processed by SmartPLS.The results showed that cashless transaction implementation, law enforcement, and protection had a negative and significant impact on in-store fraud, but the technology did not have a significant impact on fraud.at the store.Law enforcement and protection variables, as well as technology, have a positive and significant impact on the execution of non-monetary transactions, the variable implementation of non-monetary transactions mediates the relationship between law enforcement and protection against fraud in local government spending, but not the technological variable.This study is limited to the factors that contribute to the success of non-monetary transactions.
Fixing vulnerabilities potentially hinders maintainability

Security is a requirement of utmost importance to produce high-quality software. However, there is still a considerable amount of vulnerabilities being discovered and fixed almost weekly. We hypothesize that developers affect the maintainability of their codebases when patching vulnerabilities. This paper evaluates the impact of patches to improve security on the maintainability of open-source software. Maintainability is measured based on the Better Code Hub’s model of 10 guidelines on a dataset, including 1300 security-related commits. Results show evidence of a trade-off between security and maintainability for 41.90% of the cases, i.e., developers may hinder software maintainability. Our analysis shows that 38.29% of patches increased software complexity and 37.87% of patches increased the percentage of LOCs per unit. The implications of our study are that changes to codebases while patching vulnerabilities need to be performed with extra care; tools for patch risk assessment should be integrate into the CI/CD pipeline; computer science curricula needs to be updated; and, more secure programming languages are necessary.
Discrete Laplace Operator in the Space with a Fuzzy Partition

Differential operators definitely play an important role in image processing tasks.One of the most frequently used operator for this purpose is the Laplace operator, usually defined as the divergence of a gradient of a function.Since images are considered as discrete objects, many applications require discrete version of this operator.But at the same time, these discrete Laplace operators should preserve certain properties known from the continuous case.Based on this fact, we present discrete variant of F-transform-based Laplace operator, satisfying such conditions.Moreover, Laplace operator can be also defined axiaomatically, throughout its certain properties.Therefore, we propose a construction of such operator from the other side, just with notion of the inner product of the current space and its desired properties.
Virtualization In The Social Sphere

This article discusses the paradigm of the new direction of virtualism. It provides information about virtual images and virtual reality in the information society. The etymology of the concept of virtualism is also substantiated.
Static Video Summarization Using Bag Of Words (BOW) And Fuzzy C-Mean Clustering (FCM)

Summarization related to the static videos is specified as effective approach for users to rapidly browsing and understanding huge numbers of videos. In addition, the subject of the presented work is the static video summarization. The current study has proposed a new method based on a bag of words (BOW) using hybrid features detector and fuzzy c-means clustering (FCM). As obtained from the results, it seems that the hybrid feature detector-based video summarization approach is outperformed than the other ones and much stable.