Reviewerly/exHarmony huggingface dataset:
Increasing Complexity of Cryptographic Using Combination of Hill Cipher and Cipher Block Chaining

Security and confidentiality of documents stored on a computer is an important aspect in the field of computer or information system security. Documents will no longer be useful if they are intercepted or hijacked by unauthorized people, they will even endanger the document owner, if documents containing important information are misused by irresponsible people. Therefore the documents on the computer must be preserved so that they are only accepted and used by interested persons. One of the solutions to prevent eavesdropping of documents is to use cryptography. This study aims to increase cryptographic complexity using a combination of hill cipher algorithms and block chaining cipher modes. The combination of the two methods is expected to be able to cover the shortcomings of each method so that the cryptographic complexity can be increased. The method in this study consists of two stages, namely the document encryption and document decryption stages. The encryption stage is to change the plaintext document into a ciphertext document, on the other hand, the decryption stage is to change the ciphertext document back into a plaintext document. The stages for document encryption include; 1) retrieve plain text messages in the document so that they can be processed by the system (parsing); 2) encryption to convert plaintext documents into ciphertext documents using the hill cipher algorithm; 3) encryption to convert plaintext documents into cipher text documents using cipher block chaining mode. While the methods for decryption are 1) taking the ciphertext message in the document so that it can be processed by the system (parsing); 2) decryption to convert ciphertext documents into plaintext documents using cipher block chaining mode; 3) decryption to convert ciphertext documents into plaintext documents using a hill cipher.
Triangulated Rank-ordering of Web domains.

The relative popularity of web sites, as expressed in published rankings, is of fundamental value in many contexts including search, advertising and research. In this paper, we consider the surprisingly challenging problem of generating consistent and reliable web site rankings based on unique visitors per day. We illustrate the challenge this represents using data from three large and independently-sourced Internet user panels. We begin by showing that generating a website ranking based simply on the observed unique daily visitors produces highly inconsistent rankings–even among the most popular sites. To mitigate the problems of bias and measurement error, we introduce a general methodology that identifies “canonical panelists”: an abstract class of user that exhibits consistent behavior across panels. Our definition is based on the epistemological technique of triangulation, which refers to observing the same object from multiple perspectives at the same moment in time. We show that panelists in the canonical class exhibit desirable characteristics including improved persistence. Most significantly, we show that defining a domain’s rank as a function of the aggregate behavior of canonical panelists improves overall alignment of rankings across all three of our panels.
Commonalities in content of International Children’s Book Awards

Children’s book awards give us a mirror of the culture of a country and the books that children enjoy. While the majority of school librarians are very familiar with the books that win awards in their country, very few are cognizant of books that win awards in other countries. This paper examines major awards for children’s books in as many countries as these awards could be determined. This examination will look at numerous aspects of these books—genre, format (picture, chapter book, graphic novel), age and gender of protagonists, theme, philosophy and/or spiritual beliefs, personal values, traditions and customs.
Prediction of COVID-19 Cases in West Nusa Tenggara using SEIQR Model

Abstract. On March 17, 2020 a patient have tested positive for COVID-19. That case become the first confirmed case in the West Nusa Tenggara (NTB), Indonesia. These cases continued to grow over time until September 14, 2020 Which brings the total number of positive cases to 2979.COVID-19 can transmit through direct or indirect contact with infected people’s vomit, urine, feces, or airborne transmission. People who are infected, develop symptoms, or travel between provinces or even countries must be quarantined for 14 days to prevent further spread of COVID-19. A person who survives after quarantine will develop new immune system so that he/she can’t get infected twice. Therefore the appropriate mathematical modeling is SEIQR modeling which stands for susceptible, exposed, symptomatic infected, quarantine, and recover. In this paper, we will conduct SEIQR modeling on COVID-19 in NTB using data obtained from corona.ntbprov.go.id, which is the official website of the government of NTB. From those data, we will obtain the model and also growth chart. The result of our study is growth chart of COVID-19 in NTB.
TEACHING SOCIAL DISCIPLINES IN A POST-INDUSTRIAL SOCIETY: SPECIFICS AND TECHNOLOGY

In a post-industrial society, a creative person is formed instead of an economic person, which has prevailed for many centuries. Education in the conditions of a post-industrial society develops under the influence of both general civilizational processes and internal factors of state development and construction. The article analyzes scientific literature on the problem of the formation of a postindustrial society, post-industrial education and, in particular, teaching social disciplines in the conditions of a post-industrial society. Based on an expert survey, the advantages of using ICT in university programs of social disciplines, components of ICT competence and factors for activating educational and cognitive activities in the transition to a post-industrial society have been identified. A pedagogical experiment on the implementation of the social network VKontakte in the educational process when studying social disciplines has confirmed the research hypothesis that the use of ICT in the process of teaching social disciplines can become an effective means of activating cognitive and educational research activities of students and the formation of necessary skills.
A Study on the Influence Between L1 and L2 and Its Difference of Grammar Difficulty - For a Development of L2 Chinese Grammar Proficiency Test for L1 Korean

Following our research, Park & Ma(2018), “Verification of Prator’s Grammar Difficulty Hypothesis - For Development a L2 Chinese Grammar Proficiency test for L1 Korean”, 172 survey conducted by L1 Korean students were collected and we reanalyzed “L2 Chinese grammar proficiency test”, Park & Ma(2018) designed. This analysis proved that the result of Park & Ma(2018)’s research was right. After the first verification, we adjusted the difficulty level of grammar for L1 Korean students studying chinese as the second language.BR One of the most meaningful verification of the Prator’s Grammar Difficulty Hypothesis is that the Grammar Difficulty level 4 designed by Prator was the most difficult grammatical item for L1 Korean students studying chinese as the second language.BR We hope that our “L2 Chinese Grammar Proficiency Test for L1 Korean” would help the teacher evaluate the learners’ level of Chinese language so the Chinese class could be designed to meet the learners’ Chinese level. Finally, this test would be the tool for students to check their Chinese grammar level.
Evaluation of the Kinect controller precision

The subject of this work is to evaluate the precision of the Kinect controller operation. Research study was performed and a measuring stand have been prepared. Then an application was created that captures the user's throw gesture and simulates the flight of a virtual ball. Based on this, measurements were made to determine the difference between hand movement and it’s detection by the application, and differences among throw made in real life and in VR. The analysis of these results allowed the accuracy of the controller to be assessed.
Feedback System Using Sentiment Analysis

– Today, when looking at the quality of an online item, the feedback itself plays a very important role. Based on the feedback we can decide whether the desired item is good or not, get a picture of the seller and so on. Many companies that have online shops display the most positive feedback while hiding bad ones or display only a few of them. In this research, we will help people by automating the process of deciding whether a feedback is positive or negative, which will give them time for other jobs and save money for hiring people who will work on the feedback. Since feedback on online articles is very important today, the process of determining positive and negative feedback should be made as quick and easy as possible. In this research, we will show a very simple and fast way to classify feedback as positive or negative, which means that the main question of this research is how to facilitate and speed up the process of determining the polarity of the feedback. We will use NLP using Python’s library called TextBlob. The used algorithm is called Naïve Bayes, it gave the accuracy of around 80%.
Sistem Pakar Diagnosa Tumor Wilms Menerapkan Metode Hybrid Case Based Dan Anfis

Wilms tumor is a type of kidney tumor that affects children aged 3-4 years, especially boys. These tumors generally only attack one kidney, but it does not rule out the tumor can attack both kidneys in the child's body. This tumor is a kidney tumor that is most often experienced by children compared to other types of tumors. An expert in the field of Wilms tumor diagnosis is a person who has special abilities in the field of Wilms tumor diagnosis which knowledge is rarely owned by others so that the services of an expert in this field are indispensable for those with Wilms tumor. Due to the lack of experts in the field of Wilms tumor diagnosis, long queues often occur at a Wilms tumor diagnosis expert practice place for consultation so that an expert must take a lot of time to provide services to patients who come with Wilms tumor consultation. To overcome this problem, a system that is able to represent an expert is needed to diagnose Wilms tumor with the same capabilities as the expert, namely an expert system. Therefore, in the research the authors built an expert system for Wilms tumor diagnosis using vbnet 2008, to get an accurate diagnosis, the Hybrid Case Based and Rule Based Reasoning methods were applied. The results of this study can later be used to diagnose tumor wilms on a personal computer by employees who help expert activities. With this system, it is hoped that the consultation process for Wilms tumor diagnosis at an expert's practice place will be more effective and efficient.
SOME COMMON ERRORS IN ENGLISH SPEAKING CLASS OF ENGLISH MAJORED FRESHMEN AT TAY DO UNIVERSITY, VIETNAM

In the 21st century, speaking is considered to be one of the most important skills for language learners. However, it is so difficult for students to master this skill. It is so difficult for students to master this skill because they encounter in some common mistakes when speaking in class. Therefore, the purpose of this research aimed at finding out common errors in English speaking class of English majored freshmen at Tay Do University. Specifically, this study is done to figure out whether English majored freshmen at Tay Do University encounter regularly with some mistakes while speaking English in class. In this study, a questionnaire embraced 28 questions, including questions and statements which were used as the main instruments to collect the data. The participants in this study were 91 English majored freshmen in the 3 classes of English 14A, 14B, 14C at Tay Do University. The results of the study pointed out that the English-majored freshmen had some common errors and difficulties with vocabulary, pronunciation, psychology in English speaking class. It is hoped that this research can be helpful for both the English-majored freshmen and other non-majored English students at Tay Do University to realize their common errors in the process of improving and developing their speaking skill.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0774/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Differential Evolution-Based Shot Boundary Detection Algorithm for Content-Based Video Retrieval

With the increase of multimedia devices on internet, enormous number of videos are being added as part of digital content. There is a huge challenge in retrieval of these videos as mostly the videos are kept in unstructured form. Intended users try to retrieve video content as per the relevancy and need. Shot boundary detection is a significant and critical approach in the domain of digital video processing. It is the foremost critical job of content-based video retrieval and indexing. In this paper, a novel approach for shot boundary detection algorithm based on Differential evolution algorithm (DE) with SVM classifier is proposed. In this method we first calculate the curves difference of U-component histograms as the feature of difference between video frames. In the next step, Slide-Window Mean Filter to filter difference curves and SVM Classifier applying DE to detect and classify the shot transitions. The well-known TRECVID 2005, 2006, and 2007 datasets are used to test the performance of our proposed approach. The result shows the superior performance of our proposed approach, and this method can achieve high recall, precision rate, accuracy, and better computation time.
Foundations of compositional models: inference

Compositional models, as an alternative to Bayesian networks, are assembled from a system of low-dimensional distributions. Thus the respective apparatus falls fully into probability theory. The present paper surveys the results supporting the design of computational procedures, without which the application of these models to practical problems would be impossible.The methods of inference cannot do without a possibility to focus on a part of the considered multidimensional model and to incorporate data describing the actual situation. Thus the paper shows how to compute marginals and conditionals of multidimensional models. Also, the paper briefly solves the problem of computing the effect of an intervention, in case the model is interpreted as a causal model.
Interpersonal meaning breadth variation in simultaneous interpreting English – bahasa Indonesia dienic texts: A contrastive-translational mood grammar analysis

This study presents a contrastive-translational MOOD grammar analysis of the realization of interpersonal meaning in Joyce Meyer’s English sermon text and Jose Carol’s Bahasa Indonesia interpreted text. Interpersonal meaning in the framework of Systemic Functional Linguistics (SFL), the model of Translational Semiotic Communication (TSC) and the model of text type and language function are the theoretical foundations of this study. This study used a descriptive qualitative-quantitative approach, involving the analysis of MOOD and Modality of the data which were translationally related semantic units grammatically expressed by MOOD clause units. The analysis reveals that the texts in this study can be classified as dienic texts with Declaratives and Imperatives as the prominent clauses, while Modality elements realized in T1 were generally realized in T2 in the same types. Declaratives and Imperatives respectively serve the informative and operative function of the texts, and the Modality elements which are mostly of a high degree and expressed explicitly give values to these functions.
Writing Support for International Graduate Students

Writing Support for International Graduate Students: Enhancing Transition and Success by Shyam Sharma is a valuable addition to the Routledge Research in Writing Studies series. In actuality, this volume’s audience is far wider than its title suggests. It includes thoughtful, holistic discussions of the needs of international graduate students to inform practitioners at every institutional level. Researchers in many fields, including composition, second language acquisition, educational policy, and student affairs, will also benefit from the book’s thorough literature review. Sharma’s primary argument is that strong leadership is essential to address the challenges faced by international graduate students.
Augmented Reality as a Supported Educational Method for Embedded Devices and Technology

Technology has always changed and continues to evolve. One of the recent developments in the field of technology is augmented reality (AR). Eighty percent of youth currently own smartphones. Most of them are regular users of smartphones who use these devices to access social media, play games, and communicate with friends and relatives. Meanwhile, far lesser proportions of young adults use telephones to research purposes, do homework, dig knowledge about a subject, etc. The opportunity of combination of smartphones and AR for education is high, though it still needs to be thoroughly explored. AR will provide students with additional knowledge about any issue in a number of ways to make difficult concepts easy to understand. The opportunity to associate reality with digital content has grown slowly, opening up more opportunities for teachers and students. It would quickly impact the traditional learning process in school. AR has the ability to adjust research location and pacing, adding new and innovative forms and methods. Augmented reality technologies will make classrooms more entertaining and more immersive to knowledge. A collective finding of several experiments is that implementations of AR will augment and enhance the learning process, motivation for learning, and performance. The concept is to introduce AR as a mobile app to enable educators, practitioners, and learners to understand critical concept of various embedded hardwares, its main features, and programming. The application generates a virtual label and parts of the product and displays such demonstrations in a step-by-step manner with interactive three-dimensional animations and processes that connect different peripherals with other dedicated devices. This helps the learner to better understand and interact with realistic applications in an immersive way.
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections

Graph matching aims to establish correspondences between vertices of graphs such that both the node and edge attributes agree. Various learning-based methods were recently proposed for finding correspondences between image key points based on deep graph matching formulations. While these approaches mainly focus on learning node and edge attributes, they completely ignore the 3D geometry of the underlying 3D objects depicted in the 2D images. We fill this gap by proposing a trainable framework that takes advantage of graph neural networks for learning a deformable 3D geometry model from inhomogeneous image collections, i.e. a set of images that depict different instances of objects from the same category. Experimentally we demonstrate that our method outperforms recent learning-based approaches for graph matching considering both accuracy and cycle-consistency error, while we in addition obtain the underlying 3D geometry of the objects depicted in the 2D images.
Teknik Pemilihan Tanaman Cabai Unggul Mencapai Produktivitas Tinggi Dengan Fuzzy Multi Criteria Decision Making

The chili plant is a plant that is generally widely cultivated in the territory of Indonesia, both in the highlands to the lowlands. Chili cultivation is a business opportunity for farmers to increase their income which is quite large. Chili is a plant that is classified as a vegetable and spice group that has an image of a spicy taste that evokes appetite. However, some farmers are still not maximally able to get increased production yields. The problem faced by farmers today is a failure in the yields that are not good enough. The process of selecting chili plants by farmers is still not optimal, lack of knowledge in determining chili plants. With a decision support system, it can help farmers to solve existing problems. Fuzzy Multi-Criteria Decision Making makes it easier for farmers to determine the alternatives and selected criteria, from the results of the analysis calculation to get the optimal value for the selected alternative, red chili plants A_2 get the highest integral value. A_2 The total value of the integral ∝ =0 (0.39063), ∝ =0,5 (0.54167), ∝ =1 (0.69271).
A framework for developing a Forensic Investigation Unit to an organisation

This study developed a framework for starting a Forensic Investigation Unit in an organisation. Overall, the study responded to the following  questions: First, what elements form a comprehensive framework for introducing and establishing a new Forensic Unit to an organisation? Secondly, how are the elements structured to form such a framework? The literature is more enshrined with information on how to conduct forensic investigation, but provides limited information on how to start a new Forensic Unit. The study followed the qualitative approach. The study brought together the following methods: literature review and systematic focus group discussion. There were two series of the focus group discussion. First, three groups were formed out of 6 professionals who were attending a cyber-security training at ESAMI, Tanzania. Findings from these groups were presented and the researcher (who was the facilitator of the training at ESAMI) engaged all participants in a common discussion. The consensus among participants was the main tool for making key decisions on this study. The results of this study suggested the following stages to form the framework for establishing a Forensic Investigation Unit to an organisation: need assessment, establishing a technical requirement, establishing  procedures to follow during the Computer Forensic Investigation, establishing procedures for evidence validation, establishing conditions for linking with externals, receiving organisational approval, and establishing a forensic unit.Key Words: Forensic, Investigation, Forensic , Computer, Digital , Cyber, Security
Decision Support System for Evaluation of Java Learning in Elementary School (SD) Using Cummulative Voting Method

Javanese is a language used by Javanese ethnic groups in Central Java and East Java, learning Javanese should be done by Javanese people to carry on the language of ancestral heritage so that Javanese language will not disappear in the future. To support effective and flexible learning tools, learning evaluations are needed so that teachers know the extent of students' understanding of Javanese language, the purpose of this research is to make it easier for students to learn Javanese in the learning process and in order to make teachers evaluate. From these problems led to the idea to create a web-based application in which it can carry out an accurate assessment process using the Cumulative Votting method with a Likert Scale. The programming language uses PHP and the database uses MySQL. From the test results using a Likert Scale manual values tested at 3 places found the results, namely, Gresikan Village Elementary School students get an interval value of 67.5% with a "Good" Scale, Rautlatul Jannah Islamic Elementary School students get an interval value of 61.5% with a "Good" Scale, SDIT Nurul Fikri Students get an interval value of 61.5% with a "Good" Scale.