Reviewerly/exHarmony huggingface dataset:
Augmented Reality: Solusi Pembelajaran Sains di Era Revolusi Industri 4.0

The fourth industrial revolution (RI 4.0) has emerged as one of the most influential contributors to the development and landscape of the modern world. One of the fields affected by this revolutionary wave is education, therefore it is important for universities to provide space and opportunities for future graduates to have a sense of identityand competitive ability. Prepare graduates who are qualified and able to master technological developments for learning, especially for the future of education in Indonesia. The purpose of this study leads to the development and use of technology in science learning that can help students become a generation that is excellent, innovative, and able to compete in all fields. Augmented reality (AR) is an application that combines a real environment and a virtual environment with 2D and 3D forms at the same time in a real environment, this is very relevant to be applied to science learning. This research method used literature review, namely by looking for sources that were relevant to the object of this research. Thus, augmented reality (AR) is one solution to the problem of learning activities.
High Performance Database Server (High Availability Database Server) Menggunakan MariaDB Galera Cluster

Information systems are an integral part of today's technological developments. The higher need of information systems demands the better service. One of the base foundation to improve the quality of information systems is a database server. Database server plays a role as a data storage in a network or in an information systems. A failure occurs on the database server can happen any time in a system with one server as its database. If that failure occurs, users cannot access the systems and have a risk of losing their data stored on the server. Therefore, a database server is required to work fast and has a high availability in its performance. The aim of this research is to build a high availability system where several database servers are connected so that if any failure occurs in one of them, another database server will act as a backup which is called a cluster database server. The data on each of the database server are replicated in real time so that data between nodes can be synchronized. MariaDB Galera Cluster supports multi-master database replication technique. The result of this research is a reliable system that has a high availability.
Introduction to HCL

HashiCorp is a significant player in the cloud revolution. The company produces most of the essential tools for any DevOps engineer or cloud engineer.
IGA : An Intent-Guided Authoring Assistant

While large-scale pretrained language models have significantly improved writing assistance functionalities such as autocomplete, more complex and controllable writing assistants have yet to be explored. We leverage advances in language modeling to build an interactive writing assistant that generates and rephrases text according to fine-grained author specifications. Users provide input to our Intent-Guided Assistant (IGA) in the form of text interspersed with tags that correspond to specific rhetorical directives (e.g., adding description or contrast, or rephrasing a particular sentence). We fine-tune a language model on a dataset heuristically-labeled with author intent, which allows IGA to fill in these tags with generated text that users can subsequently edit to their liking. A series of automatic and crowdsourced evaluations confirm the quality of IGA's generated outputs, while a small-scale user study demonstrates author preference for IGA over baseline methods in a creative writing task. We release our dataset, code, and demo to spur further research into AI-assisted writing.
UPBRINGING THE YOUNGER GENERATION IN THE CONDITIONS OF DISTANCE EDUCATION AND DIGITALIZATION: NEW CONCEPTUAL APPROACHES IN THE RULE-OF-LAW STATE

<ns2:p>The article analyzes the problematic issues that arise when using distance technologies in the educational process, and indicates that the full implementation of distance learning does not contribute to the effectiveness of the educational process. Attention is drawn to the existing problem of youth's enthusiasm for computers, which negatively affects both their health and the process of socialization. This problem can be exacerbated as a result of the widespread introduction of distance learning methods, this is why we call for a thoughtful approach to the issue and the preservation of the existing educational system, combined with a digital educational environment in a State governed by the rule of law. Purpose: to focus on the need to take into account the features of the use of distance technologies in the educational process. Methods: the research is based on empirical methods of description, interpretation, theoretical methods of formal and dialectical logic, historical and sociological. Results: the authors come to the conclusion that the emergence of distance learning technologies is undoubtedly associated with the next stage in the development of scientific progress, however, the introduction of these technologies into the educational process is justified only in some cases, for example, in a state of emergency, natural disasters, epidemics, epizootics, for children with disabilities, at the choice of parents and children. This must be taken into account when choosing the forms and methods of teaching in modern conditions.</ns2:p>
ANALISIS PENGELOLAAN DANA ALOKASI KHUSUS BANTUAN OPERASIONAL PAUD DI TK ISLAM BINA INSANI

This research aimed to find out how the financial management of special funding assistance at Bina Insani Islamic Kindergarten. This also intended to find out the internal financial management which exist at the Bina Insani Islamic Kindergarten. This research is descriptive research and used qualitative approach. The data was collected by using documentary techniques, interviews and observations. Data analysis technique in this rsearch included collecting, reducing and presenting data until its conclusion could be drawn. The analysis focused on the use of special funding assistance for school operations. As the results, this research found that the management of financial assistance has been generally carried out in accordance with the pre-determined regulations. However, the further improvements need to be considered on accountability after the usage of aid funds in order to make the planned goals running well. In the Bina Insani Islamic Kindergarten, the internal financial management could be implemented well due to the funding management from the special allocation funds. Therefore, the school expenditures were taken from the funds. Furthermore, the funding management needs to be improved in terms of financial management.Keywords: PAUD, DAK non-physical, donation management
TECHNOLOGICAL TRAINING IN SECONDARY SCHOOLS: PRAXIOLOGICAL ASPECT

The article discusses the need to solve educational problems associated with the inevitable transition of mankind to a new technological order. The practice of solving problems caused by a complex of factors initiated by the next technological revolution is analyzed; to find solutions to the above problems means ensuring sustainable socio-economic development of the country. The necessity of developing an educational policy on the basis of harmonizing national goals and objectives of sustainable development of the country, taking into account modern trends, and, above all, modernizing the subject area “Technology” in the content of basic general education, is substantiated.
Investment Compliance in Hedge Funds using Zero Knowledge Proofs

Financial Regulation is a form of compliance system that subjects financial institutions to certain requirements and restrictions.Investment Compliance is an example that involves investment restrictions and monitoring on behalf of investors.Hedge Funds differ from other traditional funds such as mutual funds because of their ability to employ complex investment and hedging techniques.These are private entities with few public disclosure requirements.This is useful in a way as the strategies used are confidential which allows financial agents to participate in the financial markets without any fear of information leakage, thereby promoting liquidity.However, this is often implied as the lack of transparency.Hedge Funds are expected to produce higher returns, but sometimes investors seek a risk guarantee in addition to higher returns.However, too much transparency rules out the incentives financial entities have by participating in the first place.On the other hand, too much secrecy may give rise to malicious entities that can break the rules due to a lack of compliance.We aim to solve this problem of protecting investors while ensuring the privacy of financial bodies using zero knowledge proofs.Proofs can be visualised as a way of providing enough information to investors while the zero-knowledge property of proofs maintains the privacy of the fund manager's strategies.We propose a protocol to address this scenario using Zokrates, a framework for verifiable computation using Zk-SNARKs on Ethereum, to encode the constraints and export the verifier.Based on our implementation and analysis, it can be concluded that zero knowledge proofs provide us with a variety of ways to develop compliance systems.
Contextualized Query Embeddings for Conversational Search

This paper describes a compact and effective model for low-latency passage retrieval in conversational search based on learned dense representations. Prior to our work, the state-of-the-art approach uses a multi-stage pipeline comprising conversational query reformulation and information retrieval modules. Despite its effectiveness, such a pipeline often includes multiple neural models that require long inference times. In addition, independently optimizing each module ignores dependencies among them. To address these shortcomings, we propose to integrate conversational query reformulation directly into a dense retrieval model. To aid in this goal, we create a dataset with pseudo-relevance labels for conversational search to overcome the lack of training data and to explore different training strategies. We demonstrate that our model effectively rewrites conversational queries as dense representations in conversational search and open-domain question answering datasets. Finally, after observing that our model learns to adjust the $L_2$ norm of query token embeddings, we leverage this property for hybrid retrieval and to support error analysis.
A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data

This article discusses a high-dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history behind the technique, as well as modern software developments and applications of the tour that are being found across the sciences and machine learning.
PEDAGOGICAL CONDITIONS OF DEVELOPMENT OF CREATIVE POTENTIAL OF FUTURE TEACHERS OF GEOGRAPHY

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Oka Rusmini's Ambivalences towards Subaltern Women in Tarian Bumi on High School Students 'Reading

Oka Rusmini, one of the authors, has had an influence on the development of Indonesian literature. The Tarian Bumi novel was the first literary work she created. This novel is widely read by high school students in Bali. Through this novel, she has been labeled as a writer supporting the rights of subaltern women. However, in reality, the characters and the fate of the female characters that she has created in the novel are in a helpless state. This shows him as an ambivalent author. This research describes, interprets, and explains Oka Rusmini's ambivalence in creating the Tarian Bumi Novel. This research is a qualitative research. The data collection technique was done by using literature study and interview techniques. This study uses a critical discourse analysis technique of Norman Fairclough's Three Dimensions of Discourse. The results showed that Oka Rusmini had an ambivalent attitude towards subaltern women. This ambivalence shows his strength as an opponent of patriarchy and the strength of patriarchal culture that shackles him as a writer
Development of the Medical Information System for the Treatment of Hepatitis B Virus

This study is to develop a medical information system for the treatment of hepatitis B virus.The study surveyed 154 people who visited the internal medicine department of the general hospital from August 5, 2019 to October 21, 2019 in the C area. The data were surveyed and interviewed.. .The general characteristics of the subjects were used by chi-square test. The change in patient condition was analyzed as t-test following the application of the information system.The results of this study are as follows. First, it was found that eating sprout barley after applying the information system was significantly higher than before the system was applied(t=-4.16, p&lt;.01).. Second, liver disease has decreased since the 6th day of application of information system applied information system. However, liver disease has been on the rise again since the 18th This paper means its influence by accepting a specific strategic performance approach. The findings from the study confirmed that this information system is effective.
Vision Based Umpire Detection method for Event Extraction in Cricket Video based on HOG and Color image Segmentation

As of late, there has been expanded interest in Video Summarization and Automatic Highlights age. One of the most watched and a played sport is cricket, especially in South Asian Countries. In cricket sport video, Umpire has the force for settling on huge choices about functions in the field. In this work, the manually chosen Recorded Video of Some International Twenty-Twenty cricket match video (T20*20) is used as dataset for Umpire identification inside the sport of cricket. The proposed dataset is assessed as a starter help for creating frameworks to consequently produce cricket features. With the growing increase of the utilization of technology in sports, this paper points basically at the Umpire Identification utilizing Area-Of-interest based Histogram of Oriented Gradients (AOI-HOG) Feature Extraction strategy for Human Identification. It expects to give Color Image Segmentation technique utilizing pixel wise color information to support vector machine (SVM) classification for Umpire Identification while protecting the arrangement of highlights. Test proof shows that the proposed technique accomplishes the Accuracy of 94.57%. Proposed one efforts towards successful segmentation results and computational conduct, and lessens the time and expands the norm of color image segmentation.
Memory Capacity of Neural Turing Machines with Matrix Representation.

It is well known that recurrent neural networks (RNNs) faced limitations in learning long-term dependencies that have been addressed by memory structures in long short-term memory (LSTM) networks. Matrix neural networks feature matrix representation which inherently preserves the spatial structure of data and has the potential to provide better memory structures when compared to canonical neural networks that use vector representation. Neural Turing machines (NTMs) are novel RNNs that implement notion of programmable computers with neural network controllers to feature algorithms that have copying, sorting, and associative recall tasks. In this paper, we study the augmentation of memory capacity with a matrix representation of RNNs and NTMs (MatNTMs). We investigate if matrix representation has a better memory capacity than the vector representations in conventional neural networks. We use a probabilistic model of the memory capacity using Fisher information and investigate how the memory capacity for matrix representation networks are limited under various constraints, and in general, without any constraints. In the case of memory capacity without any constraints, we found that the upper bound on memory capacity to be $N^2$ for an $N\times N$ state matrix. The results from our experiments using synthetic algorithmic tasks show that MatNTMs have a better learning capacity when compared to its counterparts.
Triangular Vertex Transform Based Watermarking on Contourlet Coefficients for Improved Robustness

A hybrid watermarking scheme based on Triangular Vertex Transform (TVT) and Contourlet coefficients for high robustness is implemented. During watermark embedding, the cover image is first decomposed using Contourlet Transform to obtain high frequency and low frequency coefficients. The lower frequency coefficients are applied with TVT. Then, the W coefficients obtained from TVT are again subdivided. The watermark bit is then embedded on the subdivided coefficients to obtain the watermarked image. Reverse operation is followed in the extraction phase. The performance of this algorithm is evaluated using embedding capacity, Normalized cross correlation (Ncc) and Peak Signal to Noise Ratio (PSNR) using standard test images. These evaluation results disclose the domination of proposed scheme over traditional schemes
Deep echo state neural network model for light propagation through strong atmospheric turbulence

A Deep Echo State Neural Network is used to predict total intensity at a detector, standard deviation of intensity over the area of a detector, and center-of-intensity for a deep turbulence example. A short description of the reason for choosing a Deep Echo State Network, as well as a full description of the network optimization and an example using 30 seconds of data is given. Specifically, indications are that this type of network can handle the nonstationary and nonlinear aspects of laser propagation through long distance deep atmospheric turbulence. The network shows a remarkable ability to predict future signals. At this time, more work needs to be done on optimizing the network to achieve even better results.
Digital Infrastructure Integrity Protocol for Smart and Legal Contracts DIIP 2021

A protocol intended to act as a minimum set of requirements and recommendations for any high integrity digital infrastructure or Enterprise Platform (EP) intended to support Smart Legal Contracts: software-based legal contracts that are machine readable and have jointly-agreed coded instructions. This is also intended to inform requirements for other similarly ‘smart’ Legal Documents such as compliance or policy documentation.This protocol recognises that contracts are a special class of asset that underpin both the economy and a well-functioning society. To this end there is a public interest in requiring high integrity EPs supporting contracts to adhere to a base set of requirements.This protocol recognises that lawyers with professional duties as officers of the court will be best able to meet those duties if high integrity EPs are used commercially and by the public;This protocol is intended as a practical resource to inform platform developers, investors, regulators, users, legislators, judiciary and any other interested stakeholders as to key features and functions of an EP that they might like to consider in adjudicating whether an EP for Smart Legal Contracts is fit for purpose.
The Cloud Certifications State and Local Government Employees Need

StateTech explores the certifications agencies can use to build up employees' cloud architecture and security skills.
On Being Magpies: In Conversation with Andrew Dillon

Andrew Dillon, who served as dean of the School of Information, University of Texas at Austin from 2002 to 2017, is interviewed about his contribution to the academic information architecture community, the relationship between academia and practice, the critique of information architecture works, and how he considers the field part design and part science. He also provides his point of view on information architecture as an independent field of study and its potential future.
Mean-Squared Accuracy of Good-Turing Estimator

The brilliant method due to Good and Turing allows for estimating objects not occurring in a sample. The problem, known under names "sample coverage" or "missing mass" goes back to their cryptographic work during WWII, but over years has found has many applications, including language modeling, inference in ecology and estimation of distribution properties. This work characterizes the maximal mean-squared error of the Good-Turing estimator, for any sample \emph{and} alphabet size.
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian

In this paper we describe a transformer model pre-trained on 8 billion tokens of crawled text from the Croatian, Bosnian, Serbian and Montenegrin web domains. We evaluate the transformer model on the tasks of part-of-speech tagging, named-entity-recognition, geo-location prediction and commonsense causal reasoning, showing improvements on all tasks over state-of-the-art models. For commonsense reasoning evaluation, we introduce COPA-HR -- a translation of the Choice of Plausible Alternatives (COPA) dataset into Croatian. The BERTić model is made available for free usage and further task-specific fine-tuning through HuggingFace.
Automatic Genre Categorization of Emails into predefined categories using machine learning

In today’s dynamic world, there is a need for fast, efficient, and reliable means of communication. To meet these requirements email system was developed and it got popular with the invention of WWW. Now, the Email system has been used extensively for official, business, and personal communication. On average individual users receive 50-60 mails each day. It is becoming a burden to easily manage emails. So there is a need for effective and reliable means to organize the mails for easy and fast retrieval. An efficient approach is proposed in this paper to classify the mails based on the predefined genres. It has been observed in the proposed research that the classification of emails greatly improves efficiency and saves time and effort to manage them. The results obtained in this paper are very encouraging. Over 90 % of emails are categorized correctly. Email genres are predefined and corresponding keyword lists are generated. Frequency tf-idf of the keywords in the email decides the genre of mail. SVM is used as a multiclass classifier. In this paper need for negative training data has been removed as the proposed classifier works on the principle of one class against the rest.
한국과 호주의 무용교육과정 비교 연구

The purpose of this study is to compare the dance curriculum in Korea and Australia to make suggestions for improving the dance curriculum in Korea. Upon examining the dance curriculum of the two countries, it was found that Korean dance education was taught ambiguously, with not much distinction existing between physical education and the arts. No curriculum or class time had been officially allocated to dance in Korea. Besides, dance within the physical education curriculum in Korea lacked specificity and sequence in terms of educational objectives, educational contents, achievement standards, and assessments. Therefore, measures to improve these problems are proposed as follows.First, the educational objective should be in line with the purpose of dance education. Second, educational contents should be subdivided into individual grades, described in detail, and organized sequentially. Also, achievement standards should state the performance that is expected of a student and should be organized sequentially. Third, materials and platforms for assessments should be provided to support teachers’ evaluation activities. Ultimately, to develop the primary and secondary dance education in Korea, dance should be established as an independent subject, and a national-level dance curriculum should be developed.