Reviewerly/exHarmony huggingface dataset:
Perpustakaan Nagari Berbasis Inklusi Sosial di Nagari Tigo Koto Silungkang dan Nagari Lawang Kabupaten Agam Sumatera Barat

The purpose of the Community Partnership Program is to empower village libraries based on social inclusion so that they can contribute to village development and community empowerment. The library as a social sub-system in society should be a social inclusion institution, anyone can take advantage of library services. To achieve the objectives of the activity, several approaches were carried out including (1) the Participatory Rural Appraisal (PRA) model, (2) the Participatory Technology model, (3) the Community Development model, (4) persuasive namely the approach that was appealing and support without coercion for the community to play an active role in this activity and; (5) educative approach to socialization, training, and assistance as a means of transfer of knowledge and education for community empowerment. The method offered to solve the problem is to carry out socialization, comprehensive training in the management of village libraries based on social inclusion. Through this program, concepts and strategies for developing and empowering village libraries based on social inclusion have been conveyed to village managers, village library managers, and the community. Experience in developing community engagement activities for community empowerment through village libraries in Agam Regency. Participants can understand and commit to following up on the results of the discussion by first preparing a work plan. Communities who receive extension activities can also understand that the Nagari library is not only used as a means to borrow and read books. The village library can be utilized by the community for various activities that can be developed to improve the skills of the village community.
Blockchain Decentralized Voting for Verified Users with a Focus on Anonymity

The paper presents decentralized voting scheme for verified users while maintaining their anonymity. A blockchain network was applied, which is a decentralized and distributed database based on the Peer-to-Peer architecture. During the implementation, the Ethereum network was used. Thanks to this, it is possible to code the terms of the contract required to perform the transaction. Ethereum and the use of smart contracts were also discussed in paper. The implementation uses the blind signature protocol by David Chaum and encryption with the Rivest-Shamir-Adleman (RSA) algorithm. Presented in this paper scheme for blockchain decentralized voting for verified users with focus on anonymity is then fully implemented and identified potential issues are analysed and discussed.
ABOUT THE PROBLEM OF STUDYING DIFFICULT TOPICS IN THE COURSE OF MATHEMATICS 4 CLASSES OF UPDATED EDUCATION CONTENTS OF THE REPUBLIC OF KAZAKHSTAN

It is considered some issues of studying sophisticated themes in the 4th grade mathematics course. The analysis of the content of the program and its implementation in the educational-methodical complex "Mathematics" is discussed. The updated content of the mathematical education of elementary schools has significant differences from previous generations of programs. A distinctive feature of the 4th grade syllabus is that the material is not evenly distributed throughout the half-year periods, and several difficult themes not previously studied in elementary school are also included, and the authors created an exercise system that implements an activity-based approach to learning.
A Tribute to Harold McIver Leich on His Retirement and on Being Accorded the 2019 ASEEES CLIR Distinguished Service Award

Harold M. Leich’s outstanding service as a Slavic librarian from 1969 to 2019 earned him the Distinguished Service Award of the Committee on Libraries and Information Resources, delivered during the 2019 annual convention of the Association for Slavic, East European, and Eurasian Studies (ASEEES). He began as a cataloger at the University of Illinois at Urbana-Champaign, where six years later he was promoted to Librarian for Slavic and East European Acquisitions. From 1987 until retirement he served at the Library of Congress as Russian Area Specialist. For his last 20 years there he also served as the specialist for Modern Greek. He assisted Dr. James H. Billington, the Librarian of Congress and noted scholar of Russia, with many projects. Over his career, Leich produced more than 50 publications, mostly concerning Russian materials, but also on Modern Greek collections as well as on book matters relating to other countries. He participated on many ASEEES committees, and he also served on committees for the American Library Association, the Modern Greek Studies Association, and other societies.
A Novel Approach to Visualization of High-Dimensional Data by Pairwise Fusion Matrices Using t-SNE

We applied t-distributed stochastic neighbor embedding ( t-SNE) to visualize Urdu handwritten numerals (or digits). The data set used consists of 28 images ofhandwritten Urdu numerals. The data set was created by inviting authors from diff erent categories ofnative Urdu speakers. One of the challenging and critical issues for the correct visualization of Urdu numerals is shape similarity between some of the digits. This issue was resolved using t-SNE, by exploiting local and global structures of the large data set at different scales. The global structure consists of geometrical features and local structure is the pixel-based information for each class of Urdu digits. We introduce a novel approach that allows the fusion of these two independent spaces using Euclidean pair wise distances in a highly organized and principled way. The fusion matrix embedded with t-SNE helps to locate each data point in a two (or three-) dimensional map in a very different way. Furthermore, our proposed approach focuses on preserving the local structure of the high- dimensional data while mapping to a low-dimensional plane. The novelty of our approach lies in the fact that we embed Euclidean distances in standard t-SNE in order to successfully visualize the high-dimensional data represented in multiple independent observations. The visualizations produced by t-SNE outperformed other classical techniques like principal component analysis (PCA) and auto-encoders (AE) on our handwritten Urdu numeral dataset.
The methodology of the creation of a flowchart of teacher professional development programme in functional literacy aspect

The study has been directed to the teacher professional development perfection problem in functional literacy aspect as an integral part of holistic educational process to increase student efficiency, in compliance with the OECD’s Programme for International Student Assessment. The purpose is to research the historical content of the functional literacy phenomenon and approaches to a programme flowchart for teacher professional development education. A flowchart of the programme of teacher professional development has been elaborated to create an e-platform to enable teachers to master a competence-based model for further teaching and projecting educational process to form relevant functional literacy of students.
All Smart Contracts are Ambiguous

Smart contracts are written in programming languages rather than in natural languages. This might seem to insulate them from ambiguity, because the meaning of a program is determined by technical facts rather than by social ones. It does not. Smart contracts can be ambiguous, too, because technical facts depend on socially determined ones. To give meaning to a computer program, a community of programmers and users must agree on the semantics of the programming language in which it is written. This is a social process, and a review of some famous controversies involving blockchains and smart contracts shows that it regularly creates serious ambiguities. In the most famous case, The DAO hack, more than $150 million in virtual currency turned on the contested semantics of a blockchain-based smart-contract programming language.
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games

Which classes can be learned properly in the online model? --- that is, by an algorithm that on each round uses a predictor from the concept class. While there are and natural cases where improper learning is useful and even necessary, it is natural to ask how complex must the improper predictors be in such cases. Can one always achieve nearly optimal mistake/regret bounds using simple predictors? In this work, we give a complete characterization of when this is possible, thus settling an open problem which has been studied since the pioneering works of Angluin (1987) and Littlestone (1988). More precisely, given any concept class C and any hypothesis class H, we provide nearly tight bounds (up to a log factor) on the optimal mistake bounds for online learning C using predictors from H. Our bound yields an exponential improvement over the previously best known bound by Chase and Freitag (2020).As applications, we give constructive proofs showing that (i) in the realizable setting, a near-optimal mistake bound (up to a constant factor) can be attained by a sparse majority-vote of proper predictors, and (ii) in the agnostic setting, a near-optimal regret bound (up to a log factor) can be attained by a randomized proper algorithm. The latter was proven non-constructively by Rakhlin, Sridharan, and Tewari (2015). It was also achieved by constructive but improper algorithms proposed by Ben-David, Pal, and Shalev-Shwartz (2009) and Rakhlin, Shamir, and Sridharan (2012).A technical ingredient of our proof which may be of independent interest is a generalization of the celebrated Minimax Theorem (von Neumann, 1928) for binary zero-sum games with arbitrary action-sets: a game which fails to satisfy Minimax is Guess the Larger Number. In this game, each player picks a natural number and the player who picked the larger number wins. Equivalently, the payoff matrix of this game is infinite triangular. We show that this is the only obstruction: if the payoff matrix does not contain triangular submatrices of unbounded sizes then the Minimax theorem is satisfied. This generalizes von Neumann's Minimax Theorem by removing requirements of finiteness (or compactness) of the action-sets, and moreover it captures precisely the types of games of interest in online learning: namely, Littlestone games.
Study Guides: Information Technology: Referencing for IT

This guide contains resources and guidance to help students studying Computer Science and Information Systems.
Parents’ Perceptions of Their Young Children’s English Literacy Acquisition: A Narrative Inquiry

The purpose of this study is to explore the families’ perceptions of their contribution in promoting their young children’s early English literacy acquisition. The researchers used questionnaires and interview to collect the data. The researchers applied an in-depth open-ended interview to two families who have a role in promoting their children’s English literacy development. The researchers also applied questionnaires to support the data. The researchers used a survey to apply the questionnaire to the respondents. The result showed that most of the parents in Indonesia hadn’t given their awareness of their children’s early English literacy acquisition. Since English was categorized as the foreign language of Indonesian people, most of the families did their mother language (L1) at home with their children. Thus, there are two implications of this study. The first implication of this study is to increase the parents’ awareness of the benefit of implementing children’s early English literacy. The other implication for English Language Teaching is to help the teacher and school institution to have collaborated with the parents to increase the development of children’s early English literacy. Thus, the teacher can teach English easier and may achieve the learning goals which are very useful for all parties (parents, children, and teachers) in the future.&#x0D; &#x0D;
A Dynamic Improvement of a Training Dataset for Source Code Classification Using Deep Learning approach

In recent years, there are various methods for source code classification using deep learning approaches have been proposed. The classification accuracy of the method using deep learning is greatly influenced by the training data set. Therefore, it is possible to create a model with higher accuracy by improving the construction method of the training data set. In this study, we propose a dynamic learning data set improvement method for source code classification using deep learning. In the proposed method, we first train and verify the source code classification model using the training data set. Next, we reconstruct the training data set based on the verification result. We create a high-precision model by repeating this learning and reconstruction and improving the learning data set. In the evaluation experiment, the source code classification model was learned using the proposed method, and the classification accuracy was compared with the three baseline methods. As a result, it was found that the model learned using the proposed method has the highest classification accuracy. We also confirmed that the proposed method improves the classification accuracy of the model from 0.64 to 0.96
Early stage breast cancer detection using ensemble approach of random forest classifier algorithm

Breast Cancer is one of the most deadly diseases in the world and is commonly seen in women. Based on the severity, breast cancer is classified into two types. One is Benign type of breast cancer, which can be detected at early stages and can be cured with the help of medication. Other is Malignant type of breast cancer, which shows severe affect and might lead to death. To detect breast cancer at early stages, wide variety of algorithm techniques are used such as Navie Bayes, Convolution Neural Network, KNN, adaptive voting ensemble machine learning algorithm and so on. Most latest algorithm that is under practice is adaptive voting ensemble machine learning algorithm. In this algorithm, Wisconsin Breast Cancer dataset and CNN algorithm is used to classify images and for object detection. But the major drawback of ensemble machine learning algorithm is lack of accuracy. It is proved that Neutral Network works more effective on humans mostly in analysing data and to perform pre-diagnosis without medical knowledge. In this paper, we propose Random Forest Classifier algorithm to achieve more accuracy.
DEEP CONVOLUTIONAL NEURAL NETWORKS FOR DEGRADED PRINTED KANNADA CHARACTER RECOGNITION

Recognition of degraded printed Kannada characters is a challenging research problem.Proposed in this paper is a deep convolutional neural network for recognition of degraded printed Kannada characters.Characters in some old Kannada texts are affected by various degradations that result in breakages and dilations of characters introducing challenges in the process of recognition.The architecture consists of three levels, the first two levels with ReLu, Max pooling layers, and the third level with just ReLu.The output of these is input to fully connected layer which performs classification of characters.Experimental analysis is carried out using 156 classes of characters each class with 100 instances.Performance is evaluated for 4 epochs with 60 iterations per epoch.Highest classification accuracy of 99.51% has been reported for 75% training.
힌디어 교육과정과 평가문항 개발 연구: A0 단계를 중심으로

The purpose of this study is to develop guidelines for a Hindi A0 level evaluation test with its standardized Hindi curriculum. The development of a Hindi A0 level evaluation test is a basic requirement for ensuring internal stability of school education, because languages that uses special or unique characters that are not based on Roman alphabets, such as Hindi, Thai, and Persian, require a separate learning process or curriculum as well as their evaluation tests. This is not only in line with the purpose of the ‘Act on the Promotion of Education of Critical Foreign Languages’ enacted on August 2, 2016, but also because it can promote the substantiality of education in other critical foreign languages including Hindi, which had been conducted without a standardized curriculum. In other words, this study explores the concept of the A0 level that is not included in the CEFR, as a first step toward the realization of the ‘Common Asian Framework of Reference for languages’, the letters and pronunciations of which require a lot of time to learn. To this end, a guideline of an evaluation test for Asian languages is also proposed.
The Influence of Jewelry Technology Development on Jewelry Identification

At present, the work of jewelry identification mainly depends on science and technology. I believe that in the future, it will also rely on science and technology to complete the work of jewelry identification. Using science and technology to identify jewelry can avoid the subjectivity of naked eye identification and achieve accurate identification of jewelry. The use of science and technology to complete the identification work is mainly to use high-tech equipment to identify the fineness of jewelry. In a certain sense, the continuous development of science and technology has more advantages than disadvantages for the development of jewelry industry. The use of high-tech equipment to complete jewelry identification is an important guarantee for the accuracy of jewelry identification, which is conducive to the healthy development of the jewelry industry.
Catchphrase: Automatic Detection of Cultural References

A snowclone is a customizable phrasal template that can be realized in multiple, instantly recognized variants.For example, "* is the new *" (Orange is the new black, 40 is the new 30).Snowclones are extensively used in social media.In this paper, we study snowclones originating from pop-culture quotes; our goal is to automatically detect cultural references in text.We introduce a new, publicly available data set of pop-culture quotes and their corresponding snowclone usages and train models on them.We publish code for CATCHPHRASE, an internet browser plugin to automatically detect and mark references in real-time, and examine its performance via a user study.Aside from assisting people to better comprehend cultural references, we hope that detecting snowclones can complement work on paraphrasing and help to tackle long-standing questions in social science about the dynamics of information propagation.
Series Solution of Modelling the Pollution

In this article, an approximate analytical series solution of Modeling the&#x0D; pollution of a lake system is given. Laplace-Adomian decomposition method&#x0D; (LADM) was used for the serial solution. LADM with different input values has&#x0D; been used for the solution. The solutions obtained by LADM were compared with&#x0D; the results obtained by Fourth Order Runge Method. In addition, the results are&#x0D; compared with residual errors. These comparisons show that LADM is a powerful&#x0D; method for obtaining approximate solutions to the problem of modeling the&#x0D; pollution of a lake system.
A Survey Of Spectrum Sharing Techniques In 5g Communication Network

Now a days, spectrum has become under the basic commodities of life due to communication and data usage. For any type of communication, spectrum is an important factor to create a channel to pass the information. It becomes a scare resource due to increasing demand and new technology development. In order to satisfy the demands and incorporate the new technology, spectrum sharing concept is used. Spectrum sharing gives an advantage of increasing the spectrum efficiency  and revenue for the licensed spectrum holders. In this paper, spectrum sharing in 5G communication network is discussed by analysing various techniques. The basic approach of spectrum sharing is based on improving the sensing of the channel  for transmission. Sensing schemes can  be  classified as random sensing, compressed sensing, channel assignment schemes like greedy channel assignment etc., The techniques for spectrum sharing is broadly classified into four types namely Graph based access, auction based access, game theory based access and carrier aggregation based access. Mostly, the spectrum sharing scheme is evaluated in terms of throughput, blocking probability and sensing time. In this, the throughput of the system is considered for comparing the different spectrum sharing approaches. Among theses, the virtual coalition formation game theory is best for the spectrum sharing in 5G network which can provide the throughput of 11.5 Gbps for 100 users.
Suluk Pesisiran dalam Arsitektur Masjid Agung Sang Cipta Rasa Cirebon, Indonesia

The purpose of this paper is to analyze suluk on the architecture of Sang Cipta Rasa Great Mosque, Cirebon. The research is qualitative non-hypothetical through four stages of the historical method with multidisciplinary approach. The result of this research is that Wali Songo are brilliant in packaging Islamic teachings about the path to inner perfection in finding the authenticity of life leading to His goodness. Islamic teaching is not only preached through classical Javanese literary works (macapat, song) or performing arts (wayang, barong, topêng, and ronggêng), but also through mosque architecture. The conclusion of this research is that there is the beauty of coastal suluk teaching in a number of architectures element of Sang Cipta Rasa Grand Mosque. This study recommends further research on a number of other archaeological relics, either in Cirebon or along the North coast of Java that have a history of spreading Islam.
Social Media Censorship of Political Speech

Censorship online presents an emerging problem in today’s politics. Social media giants, moderating content, make editorial decisions by removing content they with which they disagree. Despite many politicians’ distaste for the practice, social media companies are free to do so as private entities not beholden to the First Amendment. Current law does not offer detractors an option for recourse. 47 U.S.C. §230 of the Communications Decency Act, however, provides a grant upon which the federal government can and should place conditions. Conditions may be crafted to disincentivize censorship while not infringing on the First Amendment rights of private companies. This change is necessary due to the volume of public discourse on these private platforms.
The Usage Of Bigbluebutton For Organizing Independent Work Of Students In Moodle

The article is devoted to the key questions of distance interaction between students and teachers in Moodle.The purpose of the study is to determine the capabilities of the BigBlueButton module for organizing independent work of students and to describe the methodological aspects of distance interaction of a future bachelor in the course of study the disciplines in the field of "Pedagogical Education".The main research methods were the analysis of scientific literature devoted to the problems of organizing independent work of students and the use of modern information and communication technologies in education; the study of normative documentation related to the educational process at university; generalization of the experience of distance interaction between students and teachers and empirical research methods.As a result of the study, the authors described the main requirements for the independent work of students.The article defines the independent work and various classifications of the independent work of students.Special attention is paid to the classification according to the method of organization, namely individual form of the independent work of students, work in pairs, work in small groups, and group work.The features of a shared chat, shared notes, and a room for group work of the BigBlueButton module for organizing independent work of students are described.The paper considers methodological solutions for organizing various types of independent work of students in the BigBlueButton module.Specific examples of how independent work is organized based on the use of Internet services have been given.