Reviewerly/exHarmony huggingface dataset:
Numerical Alpha Archive Training System in Accordance with the Archival Code for High School Teachers in Medan City

Poor management of archives has the potential to cause loss and damage to records or documents. And cause difficulty finding back important archives such as securities. Not a few administrative staff and officials need a lot of time to find back the archived files. Poor archival storage and management are common in companies, including schools. Mulia Medan Private Vocational School, one of which is still not doing the archiving system correctly, where the storage system is not in accordance with the archival rules. Unfortunately, it is difficult for teachers to get the latest archival training, even since 13 years ago when schools were owned by regional autonomy, the gap between regional teachers' competencies and those at the center was farther. Regions are difficult to get the latest competency training in their fields. Then the lack of local government budget funds, schools and also related individuals becomes even more complex problems. Therefore the need for the latest archival training according to the rules has been very urgent especially for vocational teachers in the city of Medan, to prepare graduates who are ready to work. Administrative staff also need to gain competency in the archiving of alphanumeric systems in accordance with the rules of archiving and standards. For this purpose, teachers and administrative staff need to be given training and mentoring, and the results can be seen as a significant improvement in the ability and skills in organizing records after participating in training. The alphanumeric archive storage system is very helpful for schools in arranging archives according to RI rules. For this reason, adequate facilities and infrastructure are needed in schools, so that the support of school principals in the application of proper and proper records management is urgently needed so that teachers and administrative staff can realize them immediately at school.
Implementation Of Text File Security With Stream Cipher Cryptographic Algorithm And Combination Of First Of File And End Of File Steganography

Data security hasn't been a top priority for most people at this moment. As the result, misuse of data and any other disruption frequently happens because of data aren't protected properly. To solve the problem, we can apply data security through a cryptography by randomizing messages, while through steganography by hiding messages. Concepts of cryptography and steganography can be combined to produce a better message security system. discussions raised in this research is the security of file text using 3 methods through cryptography using Stream Cipher and steganography using combination of First Of File and End Of File. Stream Cipher is used to encrypt text message with format *.txt as plaintext then produce ciphertext which will be hidden in bitmap image and JPG (Joint Photographic) image. next, system will embed ciphertext into image using steganography combination technique of First Of File and End Of File. The embedding process on the cover image produces a stego image which then goes through extraction to get a hidden message (ciphertext) and then decrypted to get the plaintext.
Comparative Analysis of Classification based Techniques using Change Detection and Ensemble models

In the data streaming environment, more and more data gets generated due to various applications like network intrusion detection, weather forecast, finance, sensor based data acquisition systems and so on. Due to rapid advancement in technology, the arriving pattern is expanding and hence data arrives continuously which need to be monitored rather than storage. Some of the application requires a quick analysis of arriving data. In such situations, storing such continuous and huge data and then analyzing the performance will not be useful for better decision.  Since the probability distribution of such data changes over the period of time it is necessary to timely analyze such patterns in the data such change is occurred due to unstable data distribution. This raises a need of continuous monitoring of such changes in in streaming environment the researchers have given major attention to concept change which is referred as concept drift. In this paper we have surveyed the various classification-based methods for handling change in the distribution, in introduction   section we have discussed various types of concept drift and their application, followed by the methodologies used to handle the diversity and further, discussed the experimental work performed on Covid-19 dataset. The last section concludes how the concept drift learners are extensively used in covid-19 data to detect the change in the distribution and how an adaptive learners and evaluators are   used for solving real life applications.
Kretivity of the Early Childhood Education's Teachers in Creting Animation Media Web-Based in Koto Tangah Padang: Kreatifitas Pendidik PAUD Membuat Media Pembelajaran Animasi Berbasis WEB di Kecamatan Koto Tangah Kota Padang

One of the success of the Early Childhood Education Institution in society is based on the teacher’sfactor. The problem facing by the Early Childhood Education Institution in the sub-district of KotoTangah is the lack of the creativity of the teachers to use modern media that will motivate children toplay while learning. Until now, Early Childhood Education teachers still use traditional media in theteaching and learning process, when it looks outdated and less able to motivate children in learning.This training aims to help the teachers to be creative Early Childhood Education’s teachers in makingan animation learning media Web-based. Through the training of animation learning media Webbased,the teachers can improve their ability in applying various media. Skill training method inmaking an animation media-based uses; (1) speech method is used to deliver the material theoreticallyabout the concept of Early Childhood Education and the learning characteristics, (2) discussionmethod is used by the Early Childhood Education’s teachers to discuss about how to make ananimation media web-based, (3) experiment/ practice method is used to train the Early ChildhoodEducation’s teachers in having an ability in making an animation media, each teacher tries to create ananimation media web-based directly. The subject of this research is the 21 teachers, taken from eachdelegation of the Early Childhood Education Institution in Koto Tangah, Padang. The result of thisresearch for the community can be described: (1) Early Childhood Education’s teachers comprehendcharacteristics and learning strategies for early childhood, (2) some of them have already skilled,creative in creating web-based animation learning media. It is suggested to the school to alwaysmotivate and facilitate the Early Childhood Education’s teachers in creating a good learning mediafollowing the advancement of science and technology. The Early Childhood Education’s teachers areexpected to have continuous training to improve their creativity in creating a good and varies learningmedia.
Toward a smart system for pets

When pet owners take care of their pets, it sparks the need to improve the well-being and happiness of their pets. This requires the ability to control an array of smart toys for pets and monitor the animals’ activities. By doing that, the owner has the possibilities to recognize unexpected behavior and to positively influence the behavior of the pets. Such smart toys’ systems are also useful for pet training purposes, which could be extended to more intelligent systems used to encourage specific behavior of pets. Currently, there are several existing products for monitoring purposes. However, they are lacking integrating features such as capabilities to be incorporated within current smart home systems and lacking the ability to add new devices to the product. This study aims to propose multi-use systems that can track and record data of pets (e.g. movements, body temperature) and which can be integrated into other smart systems. The thesis has implemented a demonstration system that includes a collar affixed to the pet, interacting with a mobile application, a cloud data storage and an analytic function. The achieved results of the presented study show that it is feasible to design and implement the targeted system’s architecture. It also demonstrates the abilities of using machine learning algorithms to detect pet behaviors.
Constructing a new developmentally moderated model of English instruction with focus-on-form for Malaysian public preschools.

The aim of this paper is to introduce a new framework on English language learning at Malaysian public preschools. At the preschool level in Malaysia, all preschools (public and private ones) are required to follow the guidelines stated in Standard National Preschool Curriculum (SNPC). However, the SNPC is very general and the Ministry also does not supply any textbook, which leads to some preschools to supplement their curriculum by subscribing to various education franchisors available on the market such as Smart Reader, Q-DEES, Kinderland and Montessori. Therefore, this research aims to develop a model of English learning based on developmentally moderated focus-on-form instruction(DMFonF), focusing on public preschools. The study is longitudinal quasi-experimental research using mixed-method approaches to investigate the effectiveness of DMFonF on Malaysian pre-schoolers for one year. Participants include 90 preschool children from public MOE preschools: Group A (45 children) will receive DMFonF in their English lessons while group B (45 children), will receive no intervention. The tests to evaluate the children's English development include the pre-test, test 1 and test 2 and delayed post-test. The outcome of this research will lead to a new framework that will assist teachers, linguists, and syllabus-designers to create a developmentally moderated English curriculum.
Performance/Media/Documentation... Thinking Beyond Dichotomies

The philosophical and general cultural contribution of Philip Auslander’s work to music, media, and the arts considered as performance is the radical, critical, and self-critical questioning of cultural dichotomies that often trap our thoughts exactly when they seem to help us think more clearly. Intervewed by Alessandro Cecchi, Auslander reflects on the exploration of the “continuum” between sound and vision, technique and technology, performance and media, music and the arts considered in their continuously and mutually changing relationships. Philip Auslander is a Professor of Performance Studies and Popular Musicology in the School of Literature, Media, and Communication of the Georgia Institute of Technology (Atlanta, Georgia, USA). He is the author of numerous scholarly articles and seven books, including Presence and Resistance: Postmodernism and Cultural Politics in Contemporary American Performance (University of Michigan Press, 1992), From Acting to Performance: Essays in Modernism and Postmodernism (Routledge, 1997), Liveness: Performance in a Mediatized Culture (Routledge, 1999; 2nd ed. 2008),Performing Glam Rock: Gender and Theatricality in Popular Music (University of Michigan Press, 2006), Reactivations: Essays on Performance and Its Documentation (University of Michigan Press, 2018), and In Concert: Performing Musical Persona (University of Michigan Press, 2021). In addition to his scholarly work on performance and music, Prof. Auslander has written art criticism for ArtForum and other publications and regularly contributes essays to exhibition catalogs for museums in Europe and North America, including Tate Modern, The Whitney Museum of American Art, the Migros Museum, and the Walker Art Center. He is also a screen actor and writer. “Dr. Blues,” a short film Auslander wrote, produced, and acted in, premiered at the Peachtree Village International Film Festival in Atlanta in October of 2019.
Functional Analisis of Desing of Pedagogical Decision as Profesional Skill

A part of a professional teacher’s competency is making the pedagogical design in the territory of the defined situation and includes numerous skills that function as a whole and are visible in final result related to evaluation and choice of educational resources or develop ideas for parts or for the whole process of education in a defined pedagogical context. Some of these skills that regulate professional decisions are related to retrospection of experience (learning, teaching, cognitive and affective), with an evaluation of elements of experience and after that with a choice what and how to take a part in the final professional decision. Adequacy with professional purpose and internal consistency and coherency in the decision are criteria for analysis of pedagogical construct. In the present report are discussed relations between fundamental pedagogical and methodological professional skills and their evaluating-reflective shell in context of design of professional pedagogical decision from perspective of ideal pre-defined situation.
Epoque: Practical End-to-End Verifiable Post-Quantum-Secure E-Voting.

The ultimate goal in modern secure e-voting is to enable everyone to verify whether the final election result correctly reflects the votes chosen by the (human) voters, without exposing how each individual voted. These fundamental security properties are called end-to-end verifiability and voter privacy. Unfortunately, it turns out to be very challenging to pursue these properties simultaneously, especially when the latter must be future-proofed against the rise of quantum computers. In this work, we show, for the first time, a practical approach to do this. We present Epoque, the first end-to-end verifiable, voter-private, post-quantum-secure homomorphic e-voting protocol. It achieves its properties through the combination of practical lattice-based cryptographic primitives only, in a novel way. We formally prove all our security claims under common trust and hardness assumptions. At the core of Epoque lies an efficient identity-based encryption (IBE) scheme with blazingly fast master-key decryption. It is the component that makes the efficient tallying of thousands or millions of ballots a practical possibility. In order to demonstrate its practicality, we fully implemented it and provide detailed benchmarks; we believe this latter contribution is of independent interest beyond the specific e-voting application.
Coarse-To-Fine And Cross-Lingual ASR Transfer.

End-to-end neural automatic speech recognition systems achieved recently state-of-the-art results, but they require large datasets and extensive computing resources. Transfer learning has been proposed to overcome these difficulties even across languages, e.g., German ASR trained from an English model. We experiment with much less related languages, reusing an English model for Czech ASR. To simplify the transfer, we propose to use an intermediate alphabet, Czech without accents, and document that it is a highly effective strategy. The technique is also useful on Czech data alone, in the style of coarse-to-fine training. We achieve substantial eductions in training time as well as word error rate (WER).
Scharding on Non-Centrally Regulated Currencies and Price Volatility

Tobey Scharding claims that Bitcoin’s lack of a central regulator makes it open to price fluctuations. I argue that a currency not having a central regulator does not necessitate it being more volatile than centrally regulated currencies. First, I argue that Scharding’s reason for suggesting that Bitcoin is open to price fluctuations – its potential to face legal restrictions – is also faced by centrally regulated currencies. Second, I use silver in London as an example of a non-centrally regulated currency with relatively low price volatility when compared to other centrally regulated currencies showing that non-centrally regulated currencies are not necessarily more volatile.
Mudanças e permanências na produção e acesso da informação científica no Brasil (1969/2019)

It presents a historical overview of access to scientific information in Brazil from 1969 to 2019, and points out changes and permanences related to the Brazilian scientific scenario, having as its starting point the analysis of the text by Etienne Poubel presented at the II Regional Congress on Documentation in 1969, organized by the Brazilian Institute of Bibliography and Documentation (IBBD). Through a research in the annals of the aforementioned congress, from the scenario portrayed by Etienne Poubel, a parallel is drawn between the difficulties present in the 1960s for the acquisition of scientific information and the scenario in this second decade of the 21st century. To this end, a bibliographical and documentary research on the theme is carried out, characterizing the study as exploratory-descriptive. It is noted the permanence and intensification of issues such as abundant scientific production, the high cost of access to scientific journals and the lack of knowledge of another language on the part of Brazilian researchers, with, on the other hand, significant changes in the international context related to free access to scientific information, expressing these, in Brazil, in the Brazilian Manifesto of Support to Free Access to Scientific Information, launched by the Brazilian Institute of Information in Science and Technology (IBICT) in 2005. It is concluded that free access to scientific information requires the commitment of institutions and researchers, united in the objective of giving visibility, free of charge, to scientific production sponsored with public resources.
A Radar Signal Deinterleaving Method Based on Semantic Segmentation Thought with Neural Network

Radar signal deinterleaving is an important content of electronic reconnaissance. In this paper, a new radar signal deinterleaving method based on semantic segmentation thought is proposed. We select representative sequence modeling neural network architectures, and input the difference of time of arrival (DTOA) of pulse stream to them. According to the semantics contained in different categories of radar signals, each pulse in the pulse stream is marked according to the category of semantics contained, and radar signals are deinterleaved. Compared with the traditional einterleaving method, this method can adapt to any pulse repetition interval (PRI) modulation mode and does not require PRI periodicity. Compared with other deinterleaving methods using neural network, this method does not need to digitize the data and train a network for each type of target. This method also eliminates the need to iterate the input and output of data. The proposed method has high robustness under the condition of pulse loss and noise pulses. The research also shows that recurrent neural network (RNN) still has more advantages than convolutional neural network (CNN) in this sequence modeling problem.
Islamic view towards Bitcoin

This paper proposes to analyze the agent behavior by means of big data extracted from the search engine « Google trends » and Twitter API to visualize the emotions and the manner of thinking about « Bitcoin » in the Islamic context. Two kinds of sentiment measures are constructed. The first is based on the search query of the word « Bitcoin » with religious connotation all over the world from 14/04/2017 to 14/04/2018 in weekly frequency. The second is built on twitter data from 03/04/2018 to 13/04/2018, by using a Bayesian machine learning device exploiting deep natural language processing modules to assign emotions and sentiment orientations. In the next step, the Granger causality analysis is used to investigate the hypothesis that this sentiment causes the volatility and the returns of « Bitcoin ». The results show that, at a first-level that twitter users of the word « Islamic Bitcoin » improve positive sentiment. Secondly, the Twitter sentiment measure has a significant effect on lagged Bitcoin returns and volatility. Furthermore, this sentimental variable Granger causes Bitcoin returns and volatility. This study contributes to the literature by studying the influence of the doctrinal view towards Bitcoin on his prices dynamics. Knowing that Bitcoin is a new financial asset and there is a large debate on his compliance with shariah
Binding for Libraries

The glue peels off the back, bringing the surface of the paper with it and after very little use the leaves of the book become detached. While it is possible to have strong publishers' cases and good paper, in practice librarians have to deal with books that are flimsily bound and often are printed on worthless paper, and they have to decide whether they shall be re-bound and if so what kind of binding is best. Binding repairs are a constant worry to librarians who often find the appearance of their libraries sadly marred by rows of battered and disreputable volumes that perhaps have little present value. Librarians have to arrange for the binding of periodical literature, and binders should be asked to register the particulars of the binding of recurring periodicals and transactions so as to avoid the cost and trouble of sending a pattern volume with each binding order.
Towards Automatic Grading of D3.js Visualizations

Manually grading D3 data visualizations is a challenging endeavor, and is especially difficult for large classes with hundreds of students. Grading an interactive visualization requires a combination of interactive, quantitative, and qualitative evaluation that are conventionally done manually and are difficult to scale up as the visualization complexity, data size, and number of students increase. We present a first-of-its kind automatic grading method for D3 visualizations that scalably and precisely evaluates the data bindings, visual encodings, interactions, and design specifications used in a visualization. Our method has shown potential to enhance students' learning experience, enabling them to submit their code frequently and receive rapid feedback to better inform iteration and improvement to their code and visualization design. Our method promotes consistent grading and enables instructors to dedicate more focus to assist students in gaining visualization knowledge and experience. We have successfully deployed our method and auto-graded D3 submissions from more than 1000 undergraduate and graduate students in Georgia Tech's CSE6242 Data and Visual Analytics course, and received positive feedback and encouragement for expanding its adoption.
A Review of Artificial Intelligence Applications for COVID-19 Contact Tracing

Contact tracing with artificial intelligence (AI) for COVID-19 has been teeming with research and development since its emergence in 2019. Specifically, contact tracing can be classified categorically into three main segments: (1) identification of close contact (case detection), (2) severity assessment, and (3) managing (people and assets) in which a noticeable gap exists in the third segment. This research will review the combined solutions in these three areas for COVID-19, while dissecting the severity of the gap existence for future studies to come. The study was conducted using the systematic study on the available literature from major journal databases. From this study, a conclusion was made that gaps in management (people and assets) are still at large and needs extra fixation to efficiently curtail COVID-19 pandemic and similar future outbreaks to come. Contributions of this study are twofold: (1) to induce a different view of contact tracing that is not only limited to case detection; (2) to provide an overview on current contact tracing solutions with AI so as to fill in the gap of the managing segment.
Syntax and Semantics

In this chapter, we discuss the (abstract) syntax and semantics of formal languages, how to operate on the resulting syntactic phrases, and how to reason about the properties of these languages. We will in the later chapters apply these ideas to the language of first-order logic as the basis of mathematics, as well as to formal specification languages, and ultimately to programming languages.