Reviewerly/exHarmony huggingface dataset:
Penerapan String Matching Menggunakan Algoritma Boyer-Moore Pada Pengembangan Sistem Pencarian Buku Online

The Bayer Moore algorithm can be applied in online book searches with the aim of making it easier for elementary school students to high school students to find books they want to study or find out which subjects are being sought. In developing an online book search using the Bayer Moore algorithm, several stages of research are needed in a planned, regular, and systematic way. This research stage is the development of a research framework that will determine the success of a system. The stages of the Research and Development (R&amp;D) method. The data collection used in this study is a collection of data obtained from crawling results using the PHP programming language. The Crawling data will later become a searchbox about a book that will be able to use Shopee, Tokopedia, and Gramedia links. The systematic procedure used to collect data is quantitative research methods. The implementation of quantitative research methods focuses on the use of numbers, tables, data, codes, rules and to display the results of the data obtained and will be used for data analysis materials on book search websites using the Boyer-Moore algorithm. Based on the results of research and testing results from the book search website using the Boyer-Moore method in php, the results obtained indicate that the program is declared feasible to use, because the associative rules formed and the resulting search value are the same as the output of the developed program.
Nature and Origin of Operators Entering the Master Equation of an Open Quantum System

By exploiting the peculiarities of a recently introduced formalism for describing open quantum systems (the parametric representation with environmental coherent states) we derive an equation of motion for the reduced density operator of an open quantum system that has the same structure of the celebrated Gorini–Kossakowski–Sudarshan–Lindblad equation, but holds regardless of Markovianity being assumed. The operators in our result have explicit expressions in terms of the Hamiltonian describing the interactions with the environment, and can be computed once a specific model is considered. We find that, instead of a single set of Lindblad operators, in the general (non-Markovian) case there one set of Lindblad-like operators for each and every point of a symplectic manifold associated to the environment. This intricacy disappears under some assumptions (which are related to Markovianity and the classical limit of the environment), under which it is possible to recover the usual master-equation formalism. Finally, we find such Lindblad-like operators for two different models of a qubit in a bosonic environment, and show that in the classical limit of the environment their renown master equations are recovered.
(Some Simple) Means for Extraction of Orthographically Unmarked Fictional Dialogue

The main aim of this research paper is to investigate whether it is possible to extract orthographically and typographically unmarked fictional dialogue from unannotated corpora with a simple regex query, and to what extent.In order to give an answer to this question, the paper provides a brief review of recent approaches and proposed solutions to this problem, with special attention on work with unannotated corpora.The simple means for extraction proposed here are based on the identification of overt linguistic features of character strings in orthographically and typographically unmarked fictional dialogues, and different ways of their conversion into patterns for the extraction from unannotated corpora.As a research corpus we used Sally Rooney's novel "Normal people", both the original version (English) and Serbian translation.
Comparing LSTM and CNN Methods in Case Study on Public Discussion about Covid-19 in Twitter

This study compares two Deep Learning model methods, which include the Long Short-Term Memory (LSTM) method and the Convolution Neural Network (CNN) method.The aim of the comparison is to discover the performance of two different fundamental deep learning approaches which are based on convolutional theory (CNN) and deal with the vanishing gradient problem (LSTM).The purpose of this study is to compare the accuracy of the two methods using a dataset of 4169 obtained by crawling social media using the Twitter API.The Tweets data we've obtained are based on a specific hashtag keyword, namely "covid-19 pandemic".This study attempts to assess the sentiment of all tweets about the Covid-19 viral epidemic to determine whether tweets about Covid-19 contain positive or negative thoughts.Before classification, the Preprocessing and Word Embedding steps are completed, and this study has determined that the epoch used is 20 and the hidden layer is 64.Following the classification process, this study concludes that the two methods are appropriate for classifying public conversation sentences against Covid-19.According to this study, the LSTM method is superior, with an accuracy of 83.3%, a precision of 85.6%, a recall of 90.6%, and an f1-score of 88.5%.While the CNN method achieved an accuracy of 81%, precision of 71.7%, recall of 72%, and f1-score of 72%.
Integral Cryptanalysis of Lightweight Block Cipher PIPO

PIPO is a lightweight block cipher proposed at ICISC 2020, which has a byte-oriented structure suitable for bit-sliced implementation and allows for efficient higher-order masking implementations. In this study, we use bit-based division property techniques to construct 6-round integral distinguishers, and propose key-recovery attacks on 8 rounds of PIPO-64/128 and 10 rounds of PIPO-64/256. The data complexity of both attacks is 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">63</sup> chosen plaintexts and the time complexities are 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">125</sup> and 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">253.8</sup> respectively. Our results complement the security analysis of PIPO, and show that the PIPO structure is resistant to recently researched cryptanalysis methods. Because only differential and linear attacks were carefully considered to determine the number of rounds of PIPO, our work, based on division property, is important for verifying the security margin.
On Chinese Translation of Petroleum Science and Technology English Abstracts under the Guidance of Catford’s Translation Shifts Theory--Taking Petroleum as an Example

It is well-known that the development of petroleum science and technology still shows its importance despite the advent of clean energy resources.It is a subject that needs special training, let alone its translation.This paper intends to explore the abstract translation of the Petroleum Science and Technology English under the translation shifts theory's level shifts and category shifts that includes the structure-shifts, class-shifts, unit-shifts, and the intra-system-shifts, which will analyze its typical characteristics like its unique words, passive and long sentences, discourse, nominalization, and the ways of translating them.All the examples are excerpted from the WeChat official account of Petroleum by the author, hoping to give translators a better understanding
Research on GIS+BIM technology integration

The integration of GIS+BIM technology has gradually become a hot topic in the development of the construction industry. The paper analyzed the difficulties faced by technical integration in terms of data and models, studied the conversion methods of various data formats, optimized the processing of models at the business and technical levels, and provided data and model foundation reference for the collaborative application of GIS+BIM integration.
Gaze-directed Visual Grounding under Object Referring Uncertainty

Visual Grounding (VG) is a promising approach toward object detection using both visual and text inputs. However, when the text inputs are from natural human language in a human-robot interaction context, the human intents of object referring are usually underspecified. In this case, the robustness and accuracy of existing visual grounding approaches will deteriorate. To this end, in this paper, we propose a Gaze-directed Visual Grounding (GVG) network that incorporates gaze information. The function of uniquely grounding the user's referenced object is achieved by fusing the user's gaze estimation, underspecified reference, and image information in the target scene. To accommodate the errors in gaze estimation, we model the probability distribution of gaze point as a Gaussian distribution, whose parameters are learned from real-world training data. The RefCoco dataset is extended by adding the gaze distribution as masks in images for training the GVG network. We found that the accuracy of the GVG network under underspecified object reference is significantly improved compared to the VG network. Quantitative results show that gaze information increased the practical application of VG in the human-computer interaction process.
ANALISIS SISTEM INFORMASI AKUNTANSI PENJUALAN DAN PENERIMAAN KAS SEBAGAI ALAT PENGENDALIAN INTERNAL

In the era of globalization, competition in the business world is getting tighter, with many companies that have entered people's lives. The increasingly widespread development of the business world today requires the development of a new accounting information system to meet the needs of better information. In addition, many companies are experiencing a decline in sales. For example, half of the trading companies experienced a decline in sales due to the unstable economy of the Indonesian people due to the pandemic. Similarly, companies engaged in the sale of vehicles were also affected, because the Indonesian Motorcycle Industry Association (AISI) reported that the volume of motorcycle sales distributed in October had decreased compared to the previous months. AISI data noted that there were 317,830 motorcycles distributed last October. Its volume fell 16.85% on a monthly basis compared to the previous month. With that accounting information system is needed, including sales accounting information systems and cash receipts, sales accounting information systems and cash receipts are part of an accounting information system that explains how to carry out sales procedures from receiving orders to receiving cash on sales. This study aims to find out how the company runs an accounting information system for sales and cash receipts, and the results of the research show that the companies that have been researched are in accordance with SOPs and using the right system. the sales activity in this study has used a qualitative approach descriptive method. Therefore, the use of accounting information systems sales and cash receipts is very instrumental and has a positive influence on the company's internal.
A Low- and High-Resolution Terahertz Image Pair Construction Method With Gradient Fusion for Learning-Based Super-Resolution

Quality and feature quantity of low-and high-resolution image pairs for training are directly related to performance of learning-based super-resolution methods.In order to accurately increase learning features to the low-and high-resolution image pairs, we proposed a gradient degradation model of terahertz(THz) images to describe the process of a high-resolution THz image's gradient map is how degraded to corresponding low-resolution THz image's gradient map.And with the proposed model, we presented a low-and high-resolution THz image pair construction method with gradient fusion for learningbased super-resolution.As gradient maps are fused to training pairs, performance of learning-based superresolution methods for THz images could be improved.In addition, we applied the low-and high-resolution THz image pair construction method with gradient fusion to very deep super-resolution(VDSR) method and zero shot super-resolution(ZSSR) method, named VDSR method with gradient fusion and ZSSR method with gradient fusion, respectively.To evaluate the performance of these two improved methods, comparison experiments with passive millimeter-wave images and our THz lab data are presented.The experimental results show that the performance of the VDSR method with gradient fusion and the ZSSR method with gradient fusion have significant improvements in peak signal-to-noise ratio and structural similarity index measure than the VDSR method and the ZSSR method, respectively.It indicates that performance of learning-based super-resolution methods for THz images could be improved by applying the proposed low-and high-resolution THz image pair construction method with gradient fusion.
Mendeley: An Introduction To Online Citation In Writing Research Article As The Implementation Of The Three Missions Of Universities At Nasional University

This present community service activity aims at giving an understanding of the use of Mendeley application comprehensively in a research article for the lecturers of the Faculty of Language and Literature at Nasional University. The method of implementing this activity was divided into three steps in workshops model: (1) practical guidelines and tips on how to write at national accredited journals, (2) introducing Mendeley, and (3) practice of Mendeley. The result of the community service activity indicates that this activity help the lecturers in the citation writing process in case of in writing bibliography. Mendeley makes writing bibliography more effective and efficient. In understanding the citation process, verification will be more accurate and easier for other researchers to trace research. From these result, it can be concluded that this activity needs an intensive socializations on the use of Mendeley as an application of citations. The lecturers get the positive impact of this activity. The positive feedback of the lecturers was shown interactively during the implementation activities. It can be seen through their testimonials.
Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods

This study compares three benchmark clustering methods—mini batch k-means, DBSCAN, and spectral clustering—with regular decomposition (RD), a new method developed for large graph data. RD is first converted so that applicable to numerical data without graph structure by changing the input into a distance matrix and the output into cluster labels. The results indicate that mini batch k-means has the best overall performance in terms of accuracy, time, and space consumption. RD and spectral clustering have competitive adjusted Rand index (ARI), even though their time and space consumption is considerable and can reach 2 and 30 times greater than mini batch k-means when applied to the artificial datasets. On the other hand, DBSCAN produces ARI as low as 0% in most default cases but increases up to 100% in almost all experiments of the artificial datasets after varying the parameters. DBSCAN’s accuracy, time, and space consumption, however, are still worse than mini batch k-means.
Development of Thai Sign Language Interpretation with MediaPipe

Thai Sign language is a sign language used in Thailand to communicate within the group of people with hearing losses or between ordinary people and people with hearing losses. For a given handshape, it is detected by a camera/webcam. 21 landmarks of a detected hand are inferred as a 3-tuple by MediaPipe. Some of angles between these landmarks are computed using Python programming. The angle set is compared with the training set and classified as a word by K-Nearest Neighbors algorithm. The dataset of Thai sign language used in this research is limited to the vocabularies that can be interpreted by one movement of handshape only. The accuracy of the interpretation in this research is about 84%.
Pelaksanaan pembelajaran menggunakan model problem based learning pada mata pelajaran Bahasa Indonesia kelas IV SD

This research is motivated by low learning outcomes, especially Indonesian language subjects in low poetry writing material, as evidenced by the results of PISA 2017 which show that learning outcomes in Indonesia are still low on the assessment conducted by PISA. PISA data shows that Indonesia is ranked 64th out of 72 countries. The purpose of this study was to determine the implementation of problem-based learning in Indonesian language learning materials for writing poetry in the fourth grade of elementary school. Researchers used a qualitative descriptive method with direct observation techniques along with interviews with a qualitative approach. Based on the results of the research and discussion, it can be concluded that the implementation of problem based learning in Indonesian language subjects is able to improve student learning outcomes in poetry writing material for grade IV elementary school.
Online Knowledge Distillation with History-Aware Teachers

In this work, we propose a novel online knowledge distillation (OKD) approach, built upon the classical deep mutual learning framework in which peer networks (students) treat each other as teachers by learning from their predictions. The proposed method traces and leverages two levels of information encoded in each peer's learning trajectory to dynamically construct superior teachers to supervise other students. We first build a recurrent neural network associated with each peer, which takes both the network's current and previous logits as input and outputs integrated logits with the same dimension as the transferred knowledge. By doing so, the teachers provide an enhanced representation of knowledge. Beyond that, we also build a weight-averaged surrogate for each network, which maintains the exponential moving average of its learned parameters during the online training procedure. The proposed approach exploits the hidden information behind the online learning process instead of myopically learning from peers' outputs at a single time/iteration step. It potentially reduces uncertainties from peers as suffered in previous OKD studies with more stabilized transferred knowledge. We evaluate the proposed approach with benchmark image classification datasets and network architectures. Experimental results demonstrate its effectiveness with clear performance improvement over state-of-the-arts.
Requirements Management: a Solution Proposal to your problems, for Project Leaders

It is necessary to have world-class leaders, who are in line with globalization; so it is of utmost importance that they have softwa re that provides them with facilities to manage their projects successfully. To ensure quality in project management, it isessential to have an adequate control and monitoring of the requirements of the various users, at each stage and phase of the projects, which can be of any type: software, engineering, academic, virtual and augmented reality, video games administrative, etc., which will allow them to be brought to a successful conclusion. This paper presents a requirements organizer for projects, as a prototype, which will help leading managers to keep an adequate follow-up, in each module of the projects they carry out, of the different requirements, along with their traceability. This organizer will allow a successful project management, by covering each requirement to the satisfaction of the users, culminating with the products deliverable to the corresponding sectors.
Crossword puzzle game to improve students’ vocabulary mastery

ABSTRACTThis research is a literature review about teaching vocabulary by using a game called crossword puzzle game. The purpose of this research was to describe the process of teaching vocabulary using crossword puzzle game, and to describe teacher problems and student problems in the teaching and learning process. In this research, the researcher used descriptive qualitative research. In several literature reviews, researchers found several cases such as, problems that are often encountered by a teacher, namely; The teacher has difficulty in handling the class because the students make it too crowded by themselves, the teaching method is wrong, and requires students to share some vocabulary words in the meeting but students can only master some of them, and also some obstacles that are often encountered by a student in learning vocabulary, that is; Students find the teacher's explanation boring, and they perceive vocabulary learning as knowing the main meaning of new words obtained only from textbooks or from the teacher, so it is difficult for them to use words based on the appropriate context. Therefore, teaching English vocabulary applies crossword puzzle games is effective in increasing students' vocabulary.
Preserving the Cultural Heritage of the Siberian and Far Eastern Indigenous Peoples in the Electronic Collections of National Libraries of the Republics

To preserve and promote the historical and cultural heritage of the peoples of Russia is an urgent and timely issue in the context of sociocultural changes taking place in the world due to transformation of the society value orientations, information sphere globalization, and information digitalization. The significant contribution to the solution of these issues is made by national libraries, including the national libraries of the republics of the Russian Federation. The article discusses the activities of the five national libraries in Republics of Altai, Buryatia, Sakha (Yakutia), Tyva, Khakassia on the formation of thematic full-text electronic collections. This study contributes to the creation of a unified (consolidated) regional information and navigation portal of electronic collections of the named national libraries. Presentation of diverse local collections through a single access window, their relaying will contribute to the most complete preservation of historical memory, attracting the attention of specialists to these collections, meeting information needs.
Edutainment, tools and methods in high school education development of ATCG (ATtack Covid Game) online and electronic board games

In order to support applied science’s activities in the subject of Biology for high school students, an online workshop was conducted to disseminate relevant knowledge on COVID-19. Due to protracted COVID-19 pandemic and online exhaustion during this period, a novel and/or better approach to teach about introduction, prevention and control of the viral transmission was required. By utilizing free resources online, we created a simple effective edutainment product on COVID-19 and demonstrated that it could be used successfully during a workshop for high school students. This novel approach and/or method could be extended for other learning topics, thus helping teachers to disseminate knowledge to their students more effectively. Another activity is to create the electronic board game, based on the developed online edutainment product on COVID-19. Its purpose is to enable an edutainment product for onsite learning activities, either at places with low internet connectivity or when onsite learning will be fully resumed.