Reviewerly/exHarmony huggingface dataset:
Building an Elliptic Curve Cryptography to Encode and Decode Vietnamese Texts

This article presents building an Elliptic curve cryptography and using it to encode and decode Vietnamese text. Here we have illustrated the prime number p = 151 in the future, which will use a large prime number. We consider an elliptic curve with a total score of 172 points. Encode and decode with standard Vietnamese text and combine with the special characters in ASCII code. The program is designed and installed and on the C# environment to give the correct result of the encryption algorithm.&#x0D; KeywordsData sequence, Decryption, Discrete logarithm, Elliptic curve, Elliptic curve cryptosystem, Encryption, Public key&#x0D; References[1] Koblitz, “Elliptic curve cryptosystems”, Mathematics of Computation”, 203 - 209, 1987.[2] Miller, “Uses of elliptic curves in cryptography, Advances in Cryptology - Crypto”, Lecture Notes in Computer Science, SpringerVerlag, 1986, pp. 417-426.[3] Sugantha Priya, Dr.M. Mohanraj, “A Review on Secure Elliptic Curve Cryptography (ECC) and Dynamic Secure Routing Link Path Detection Algorithm (DSRLP) Under Jamming Attack”, ISSN 68(30) (2020) 0474-9030.[4] Negin Dinarvand, Hamid Barati, “An efficient and secure RFID authentication protocol using ellipticcurvecryptography”,SpringerfScience+Business Media, LLC, 2017[5] Utku Gulen, Selcuk Baktir, “Elliptic Curve Cryptography for Wireless Sensor Networks Using the Number Theoretic Transform”, journal-sensors, Published: 9 March, 2020.[6] Sravana Kumar, C.H. Suneetha, A.R. Chandrasekh, “Encryption of Data Using Elliptic Curve Over Finite Fields”, International Journal of Distributed and Parallel Systems (IJDPS). 3(1) (2012) 301-308.[7] Amounas, E.H. El Kinani, ECC Encryption and Decryption with a Data Sequence, Applied Mathematical Sciences 6(101) (2012) 5039-5047.[8] Vu Thi Hai Ha, Dinh Thi Hang, Bui Dang Binh, “The influence of volume on the formant of vowels and the identification of Vietnamese speakers”, Vietnam Institute of Linguistics, 2015.[9] Enge, “Elliptic curves and their applications to cryptography”, Norwell, MA: Kulwer Academic publishers, 1999.[10] Neil Koblitz, “An Elliptic Curve implementation of the finite field digital signature algorithm”, in Advances in cryptology,(CRYPTO 1998), SpringerLecture Notes in computer science, 1462 (1998) 327-337.[11] S. Sandeep, Kumar, “Elliptic curve cryptography for constrained devices”, PhD thesis, Ruhr-University Bochum, June, 2006.
Building a Classification Model to Predict School Quality in Indonesia

The aim of the present study was to explore the best classification model based on the predictive performance of decision tree (DT), random forest (RF), and boosted tree (BT) models used for school quality status detection in Indonesia.In order to get a better insight into the predictive abilities of these three models, 213,536 records from Basic Education Data (Dapodik), an education management information system managed by Ministry of Education and Culture, were utilized.A total of 23 predictors were extracted from Dapodik.School quality status (two classes: 'met national education standards' and 'improvement required') was an output (dependent) variable.Accuracy of the DT, RF, and BT models evaluated on the training dataset and the testing dataset was 71.51%, 99.91%, and 72.66% as well as 71.53%, 73.56%, and 72.82%, respectively.The findings indicate that the BT model had better performance than the DT dan RF models.
Implementando o Gitflow para Gerencia de Configuração em um Projeto de Desenvolvimento de Software Ágil: Um Relato de Experiência

In software engineering, Software Configuration Management is a set of support activities that allows for the orderly absorption of changes inherent to software development. For that, organization models for code versioning like Gitflow have been proposed. In Gitflow, two fixed branches (master and develop) are used to store the project history and be the starting point for changes. Despite the popularity of Gitflow for being considered a simple workflow, there are few: (a) reports of its use in practice and / or (b) documentation on how to deploy it in a real environment. This paper presents the process of adapting Gitflow and creating rules for its application in a real software development project. This adaptation took into account the opinions of managers and developers of a team of approximately 30 people within an agile Scrum life cycle. As a result, definitions and documents were generated to keep track of development, in addition to defining the necessary steps for its application considering the development process adopted by the team.
Sistem Informasi Pelayanan Pada Klinik Gigi (Studi Kasus: Widia Dental Care Pekanbaru)

The reservation system at Widia Dental Care's dental clinic requires patients to go directly to the clinic to get a queue number. The patient does not know when the queue number will be called. Data recording at the clinic is done manually on paper, this causes the data to be prone to input errors, damage or loss of the data. From these problems, an Android-based dental clinic for patients and a web-based service information system will be built for the Widia Dental Care dental clinic. In the development of android applications for patients using the queue algorithm to retrieve the queue number and patients get the queue number. Based on white box testing, it is concluded that the queuing process using this algorithm has been successfully implemented. In the second test, User Acceptance Testing, it was found that the system could function and be well received. Meanwhile, based on the results of usability testing, it was found that 90% strongly agreed that the application that was built was easy to use, easy to learn and respondents were very satisfied with the application and respondents strongly agreed that the application was useful. Keywords: Clinic, Queue Algorithm, Android, Web, UAT, Usability.
PENINGKATAN AKTIVITAS DAN HASIL BELAJARKETERAMPILAN MENULIS MATERI DESCRIPTIVE TEXTMELALUI MODEL PEMBELAJARAN MAKE A MATCH DENGAN MEDIA GAMBAR SERI PADA SISWA KELAS VII I SMP NEGERI 1 PANGKAH SEMESTER GENAP TAHUN PELAJARAN 2018/2019

This study aims to: 1) determine whether the application of the Make a Match learning model with Series Image Media can increase the activity and learning outcomes of writing skills in Descriptive Text material in grade VII I SMP Negeri 1 Pangkah Semester Even in the 2018/2019 Academic Year; 2) knowing how the process of implementing the Make a Match learning model with Media Image Series takes place as an effort to improve writing skills of Descriptive Text material for grade VII I students of SMP Negeri 1 Pangkah Even Semester 2018/2019 Academic Year. This research was conducted in 2 cycles, and based on the analysis of the results of the observations and assessments conducted by the researcher, it can be concluded that: 1) the results of the study in the initial conditions showed a lack of enthusiasm for student learning 2) the activities and learning outcomes of students on writing skills of descriptive text material in Cycle I and Cycle II which is obtained has increased.
LibGuides: Your Guide to OU Libraries: Presentation and Time Management Help

New to OU? Never used OU Libraries before? This guide will introduce you to must-have resources and services to help get you started. Resources for successful class assignments.
PRIVATE SPEECH REGULATION

This chapter shows that the laws under consideration in this book can bring about a system of “privatised” enforcement, which entails the “delegation” of certain quasi-public tasks to intermediaries. The system allows for quickly tackling illegal online content, but it also has certain downsides, which are mainly felt by the users of the services. In addition, an ecosystem of private speech regulation, known as content moderation, has emerged. This plays an important role in tackling illegal online content, yet it also involves certain risks. Furthermore, the need for, as well as the limits of, the use of automated means for the purposes of tackling illegal online content are analysed. Finally, the past two decades are characterised by the rise of a limited number of large and powerful intermediaries, whose services are broadly used for both legal and illegal purposes. These developments may well justify a certain evolution of the laws at issue.
The Increasing Trends of Cyber Crimes Against Women: An Indian Perspective

In virtual world of internet, the sharing of information is very fast and easy. Internet has become the fastest mode of information sharing tool in the present global world. The number of users of internet in India has been increasing day by day, not only in the metropolitan cities but also in the rural areas. There are numerous advantages with the internet, but at the same time it has become a major mode of instrument to commit virtual crimes against women anonymously. The cyber-crimes pose a great threat to the individual integrity and privacy. Cyber-crime is a global phenomenon and women are more vulnerable and susceptible to the cyber-crimes. Cyber-crimes and privacy breaches in India have been increasing day by day, more particularly against the women with an intention to cause psychological harm to them. Like cyber defamation, cyber-stalking, sending threatening messages, morphing of photos, and e-mail spoofing against women etc. Some of these crimes are rampant in India. The lack of knowledge and consciousness about the use of internet and the social media, the women in India are facing a great vulnerable threat to their lives and to their privacy. In this article, the author explores the issues relating to online security vulnerabilities and the cause of cyber-crimes against women.
DEVELOPMENT OF SCHOOLCHILDREN’S FIGURATIVE AND SPATIAL THINKING BY MEANS OF GRAPHIC CONSTRUCTIONS AND TRANSFORMATIONS

The article substantiates the need for purposeful development of image-spatial thinking among schoolchildren in order to increase their success in a number of academic disciplines. It is proposed to use the training of cognitive processes, it allows you to develop them in an active game form. Graphic constructions and transformations are used as a means of work, which involves both visual-figurative and visual-effective thinking. Examples of exercises and techniques for the development of figurative-spatial thinking, with the possibility of modification.
189 Fundamentals, Common Mistakes, and Graduate Education in Statistics

Abstract Experimental design and statistical data analyses are fundamental components of animal science research. Proper design of experiments and adequate sampling permits testing hypotheses raised by researchers and sets the stage for collecting required data and subsequent statistical analysis. When designing experiments, researchers should respect rules of randomization of treatments to avoid statistical bias and permit proper inference to be drawn. Use of sample sizes that result in adequate statistical power to identify the hypothesized differences among factor levels of interest is key and should be driven by formal processes determining such. Best practices for data collection should be performed to obtain high quality data by reducing collection (e.g., mislabeling, improper technique) and measurement errors. With sound data, appropriate and optimal statistical methods should be used to generate valid results. The statistical method deployed should be chosen based on assumptions about residuals (e.g., normality, correlation, and homogeneity) and on the type of data (e.g., quantitative continuous or categorical). The appropriate statistical model used should also be consistent with the experimental design to validate the respective test statistics. The science of statistics is changing rapidly. With the development of high-throughput technologies, the generation of large datasets, high performance and sophisticated models and the interest in Big Data, the training of animal science graduate students in data management and rigorous statistical analyses is more important than ever. In order to meet the demands of current trends, animal science graduate students must be trained in several complex statistical and computational skills to meet the challenges imposed by these complicated, sophisticated and nuanced analytical methods. The livestock production sector will benefit from improved training, use of advanced and appropriate experimental designs, and collection and analysis of quality data in research.
Automatically correcting Dutch pronouns "die" and "dat"

The correct use of Dutch pronouns die and dat is a stumbling block for both native and nonnative speakers of Dutch due to the multiplicity of syntactic functions and the dependency on the antecedent’s grammatical gender and number. Drawing on previous research on neural contextdependent dt-mistake correction (Heyman et al. 2018), this study constructs the first neural network model for Dutch demonstrative and relative pronoun correction that specifically focuses on die and dat. Several datasets are built with sentences obtained from the Dutch Europarl corpus (Koehn 2005) - which contains the proceedings of the European Parliament from 1996 to the present - and the SoNaR corpus (Oostdijk et al. 2013) - which contains Dutch texts from a variety of domains such as newspapers, blogs and legal texts. Firstly, a binary classification model solely predicts the correct die or dat. The classifier with a bidirectional long short-term memory architecture achieves 84.56% accuracy. Secondly, a multitask classification model simultaneously predicts the correct die or dat and its part-of-speech tag. The model consisting of a sentence and context encoder with both a bidirectional long short-term memory architecture yields 88.63% accuracy for die/dat prediction and 87.73% accuracy for part-of-speech prediction. More evenly-balanced data, larger word embeddings, an extra bidirectional long short-term memory layer and integrated partof-speech knowledge positively affects die/dat prediction performance, while a context encoder architecture raises part-of-speech prediction performance. This study shows promising results and can serve as a starting point for future research on automated, fine-grained grammar correction.
포스트 코로나 시대의 무용 공연 : 라이브니스(Liveness)의 확장을 중심으로

This study aims to anticipate the trend of dance performance in the post-COVID-19 era based on the concept of ‘liveness’ which is originated from contemporary performance studies, and consider necessary preparations for dance society in Korea.‘Liveness’ has two dimensions of temporal aspect and spatial aspect. ‘Classical liveness’ satisfied temporal simultaneity and spatial co-presence. With the development of media technology, the concept of liveness has expanded to ‘mediated liveness through media technology’ and ‘mediated liveness through communication with audience’. Before COVID-19 crisis, the direction of liveness expansion was towards the ease of temporal simultaneity while maintaining the spatial co-presence. However, COVID-19 extremely limits the availability of spatial co-presence due to prevention of epidemic. Thus, in the post-COVID-19 ear, the expansion of liveness is expected to ease spatial co-presence. Additionally, it is necessary to satisfy spectatorship in order to realize the true ‘liveness’. In order to prepare for this trend, the dance society in Korea needs to invest in online studio, develop online communication skills, and select appropriate dance performance for online.
Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation

For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of skills from relatively little experience. This talk begins by introducing Grounded Simulation Learning as a way to bridge the so-called reality gap between simulators and the real world in order to enable transfer learning from simulation to a real robot. It then introduces two new algorithms for imitation learning from observation that enable a robot to mimic demonstrated skills from state-only trajectories, without any knowledge of the actions selected by the demonstrator. Grounded Simulation Learning has led to the fastest known stable walk on a widely used humanoid robot, and imitation learning from observation opens the possibility of robots learning from the vast trove of videos available online.
Earthquake Alert System based on IOT technology

An Earthquake alert system can be implemented by means of an IOT in wireless sensor network (WSN). As P wave travels faster than the S wave and reaches to the sensor which helps in causing early warning signal. Sensor values are connected to database by NodeMcu and it is stored in ThingSpeak account. ThingSpeak account allows to cluster, aggregate and visualize the live data streams in the cloud. With acceleration sensor realistic value of earthquake can be recorded and warning signal could be sent to registered stations with the help of wi-fi module on web server.
Criterion analysis of cloud-based tools in database basics training

The formation and development of an educational environment on the basis of cloud computing technology is an urgent area in the modern renewal of higher education. It is associated with the spread of more convenient systems for organizing access to electronic resources and services, the possibilities of teamwork with software applications. The article presents an analysis of studies on various aspects of the use of cloud-based tools in the educational process. Based on the results of the expert survey, the ranking and selection of the most acceptable cloud-based training tools for teaching the database basics were carried out. The study defines the criteria and indicators for the selection of cloud-based tools, on the basis of which a criteria-based analysis of cloud-based tools was carried out when teaching the basics of databases. It is concluded that the introduction of cloud-based tools into the educational process of teaching the basics of databases is necessary on the basis of compliance with the functional and didactic and organizational criteria.
Competencies And Role Of The Teacher In The Modern Digitalized Education System

This article is devoted to the issue of digital educational space.Innovations are being introduced into various human spheres, which forces people to develop and improve their knowledge, skills, competencies, master new types of activities.The education system should provide society with a confident transition to the digital era, focused on productivity growth, new works and human needs.The informatization of education has created a basis for the transition to a new level; digitalization is aimed at training specialists who will be in demand in the labor market, fluent in mobile and Internet technologies, and focused on continuous learning (advanced training) using e-learning technologies.Digital technologies are a tool and an environment that offers new opportunities: learning at any convenient time, continuous education, the ability to design individual educational routes.However, the digital environment forces teachers to have a different mentality, world views, approaches and forms of teaching.As a research task, the authors assesses the impact of the digital era on the teaching-learning system.This direction is also complemented by an analysis of the teacher's status, its significance in the pedagogical system.The authors reflect on competencies of a modern teacher.Much attention is paid to the importance of digital competences, the relationship between digital literacy and a critical thinking ability of students.The article summarizes characteristics of a modern teacher required to meet changes in the educational context.
CONSIDERING ONLINE TRAINING: RESPONSE AND EXPECTATION IN THE PANDEMIC COVID-19

E-learning in the training is becoming inevitability with condition changes due to pandemics. However, it urges the researcher to study some comparison on how the training actors give responses and expectation towards the conventional face-to-face model which once was prima donna. This study uses descriptive analytical studies and the data taken from questionnaires against 187 training participants as respondents, 7 committees, and 12 trainers or widyaiswaras. The data is processed and analyzed by using SPSS. The results yielded that the average scores of distance learning were more dominant (greater) than those in classical for all respondent’s categories (the committees, widyaiswaras, and participants). The study shows a tendency that distance training is more effective compared to classical training.
TAHAP PENERIMAAN GOOGLE JAMBOARD SEBAGAI ALAT DIGITAL DALAM E-PEMBELAJARAN: SATU KAJIAN

E-learning is growing rapidly especially in higher learning institutions, either local institutions or abroad institutions. Progress in e-learning is related to emergence of new digital tools in education. Therefore, there are many digital tools that can be used through e-learning. Thus, this study aims to identify the level of acceptance of PISMP students towards Google Jamboard in teaching and learning. Technology Acceptance Model (TAM) as the basic model of this study. This study uses a quantitative approach through surveys using questionnaires, and qualitative through semi-structured interviews. A total of 76 respondents were involved in the survey study, while six respondents were involved in the interviews. This study focuses on four aspects of the acceptance of Google Jamboard as a digital tool namely fun, usefulness, usability and students’ attitude. Data analyzed by using descriptive, mean and standard deviation, as well as interviews. The findings show the mean value for the aspect of fun with the mean score of 4.78, usefulness with a mean value of 4.68, usability with the mean value of 4.60, and attitude with a mean value of 4.78. Meanwhile finding of the interview is matching and support the findings of the quantitative study. Respondents showed positive on the acceptance of Google Jamboard. In conclusion, the usage of Google Jamboard in e-learning showed a positive response and acceptable by students. Thus, Google Jamboard is suitable as a digital tool to enrich the methods of teaching and learning.
Lattice‐based nominative signature using pseudorandom function

A nominative signature (NS) is a cryptographic primitive where two parties collude to produce a signature. It is a user certification system and has applications in a variety of sectors where nominee cannot trust heavily on the nominator to validate the nominee's certificate and only targeted entities are allowed to verify the signature on sensitive data. A new construction for NS from standard assumptions on lattice is provided. The authors’ construction relies on collision-resistant preimage sampleable function and symmetric key primitives like collision-resistant pseudorandom function and zero knowledge proof system ZKB++ for Boolean circuits. The authors provide detailed security analysis and show that their construction achieves security under unforgeability, invisibility, impersonation, and non-repudiation in the existing model. Furthermore, our construction exhibits non-transferability. The security under non-repudiation is achieved in the quantum random oracle model using Unruh transform to ZKB++.