Reviewerly/exHarmony huggingface dataset:
Boundary rider

Boundary rider William Fox (bio) The first thing to know is that actual footy fieldsare huge, and that dad never didn't volunteer. From where I spun bored mudcake pirouettesin one goal square, he resembled a pennant on a potentially bad privateer: his shorts were kindof cut loose to the upper thigh, and very black. In motion, he may have been wearing a very haltereddress. My generation cannot wear singlets. His body came to be in the 1970s, when singletshad nothing to grip, when they allowed the shoveling body a breath. Dad's own singlet added sugar to this,being house-proud and tatter-ish. At the throw-in, he could well have passedfor professional. Everyone commented on how he chased the loose ball like a dispatch, never thankingthe unranked crowd, even if they'd helped by throwing it back; how he sprinted into a muscularhoist-and-toss starting position, as if a dark audience had taken their seats;how he managed an apogee on his throws, too vast for the u10s to contemplate. The two rucks wouldagree to part, letting the meteor go plonk in the mud. On the whole, this was typical. You enabled a vastarena, without ever really getting that close. Your dance was generous, and honed,and you preferred perfecting it on your own. [End Page 15] William Fox William Fox is a poet from Melbourne. His work has appeared previously in places like Meanjin, Overland, Island, and the Best Australian Poems series of books. His debut collection will be released by Rabbit in early 2023. Copyright © 2022 Wayne State University Press
Resepsi Pembaca terhadap Novel Bercinta dalam Tahajjudku Karya Anshela

A work can be considered literary if it piques the reader's interest. The study�s objective was to describe the reader's reception of themes, characters, messages, and levels of understanding in the novel BercintaDalamTahajjudkuby Anshela. It applied the qualitative method. Based on findings, the reader�s reception towards the novel�s theme, 66.67% of respondents are interested in the novel, while the reader�s receptions of the character as many as 73.33% stated that its effortless to predict the character of the main character. Further, regarding the readers' perception of the message, as many as 86.67% of respondents claimed that the message could be understood explicitly and implicitly. The reader's level of understanding of the theme, characters, and the message is80%, 67%, and 87%, respectively.
Pengembangan Bahan Ajar Literasi Finansial untuk Siswa Sekolah Dasar

Financial literacy is one of the competencies needed by elementary school students today, but in reality there are not many financial literacy teaching materials available for elementary schools. The purpose of this study is to develop a game-based learning application that is able to improve the competence of elementary school students in financial literacy. The method used in this study is the instrument analysis method by applying the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The results obtained from this study are an android-based application that can improve student competence in financial literacy called Q-VICI Pratama which is suitable for grade IV, V, and VI elementary school students. The implication of the results of this study is the need to collect information from users, students and teachers further as feedback for the evaluation and development of the instrument. In addition, it is necessary to expand financial literacy materials for the next level.
Teachers' Perception of the Use of Augmented Reality (AR) Modules in Teaching and Learning

Augmented Reality (AR) has generally changed the flow of education and the landscape of teaching progress to digital teaching and learning methods. The developed AR module will give teachers an understanding of the approach to the use of this technology in the learning process. Therefore, this study was conducted to examine teachers' perceptions in terms of design, content and satisfaction of teachers on the use of AR modules to integrate in teaching. The research of this study includes the design and development of educational applications that involve augmented reality. Design and content aspects are derived from the Cognitive Theory of Multimedia Learning to ensure that the design content is in line with a subject. This learning module has undergone a stage of verification by experts and has been conducted to evaluate the quality of development of modules and multimedia elements that have been applied in this module. This quantitative study uses Google Form as a questionnaire instrument. A total of 78 Bestari Coordinator Teachers in the state of Terengganu were selected as respondents of the study. Data were analyzed using SPSS software version 26. The analysis found that the level of teacher perception of the design, content and satisfaction of the AR module was high (M = 4.14). As an implication, the positive perception of teachers towards the design of self-learning modules including the arrangement of information content and the layout of graphic images also shows these elements benefit them in understanding and mastering the learning material.
Modeling and Analysis of Distributed Acoustic Sensing (DAS) Data in Geothermal Environments

Preview this conference paper: Modeling and Analysis of Distributed Acoustic Sensing (DAS) Data in Geothermal Environments, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2023/seventh-eage-borehole-geophysics-workshop/Paper_22_-_Davide_Pecci_-1.gif
Handmade batik with tuberose motifs as creative home industry idea

Batik tulis is a rich cultural heritage of Indonesia, encompassing traditional values and artistic expressions. However, in some regions, there has been a decline in interest and skills in batik tulis making, along with the threat of plagiarism of local batik motifs. Therefore, efforts are needed to develop creative innovations in batik tulis production and ensure the sustainability of local batik traditions. Desa Doplang faces challenges in enhancing the skills of its residents in creating batik tulis with the motif of Polyanthes Tuberosa L., preserving the authenticity and originality of batik motifs, and improving economic well-being through increased production and sales of batik tulis. The Community Engagement Program (PKM) is designed to address these challenges through intensive mentoring, quality control, and efforts to prevent plagiarism. Through technical and creative training, the residents of Desa Doplang have acquired the skills required to produce batik tulis with the motif of Polyanthes Tuberosa L. Mentoring is provided at every stage of production, including the application of wax, dyeing, and the final boiling process. Feedback and constructive advice are given to improve the quality and authenticity of the batik tulis produced. Quality control measures are implemented to ensure that each batik tulis product meets the established quality standards. Additionally, through socialization and education, awareness regarding the importance of authenticity and originality of batik motifs is heightened. The program utilizes a community development, empowerment, and engagement approach. As a result, the program has successfully enhanced the skills of the residents of Desa Doplang in batik tulis production, increased cultural appreciation, and improved economic well-being through enhanced production and sales of batik tulis. The quality of the batik tulis produced has shown continuous improvement alongside the enhancement of skills. Moreover, the program has successfully preserved the local tradition of batik making and strengthened the position of batik tulis with the motif of Polyanthes Tuberosa L. as the flagship product of Desa Doplang. Another positive impact is the increase in the residents' income through the sale of batik tulis at better prices.
Production of a promotional video for the Ranca Upas Camping Ground during the new normal period of the Covid-19 pandemic

During the pandemic, the lack of information dissemination on Ranca Upas Camping Grounds resulted in a lack of visitors because they were not aware of the health protocols that had been implemented. The community service aims to help disseminate information by making a promotional video containing the application of 3M and equipment for implementing health protocols in tourism areas. The aim is to support the management in promoting Ranca Upas Camping Ground Tourism so that it can attract tourists to return to traveling during the new normal period. The method of implementing community service activities consists of the preparation stage, implementation, and evaluation. This activity produces digital products in the form of promotional video as an effort to recover tourism visitors from Ranca Upas Camping Grounds in adapting to new habits. The tourism manager stated that the product helps in disseminating information so that tourists can find out about the health protocols that have been implemented.
A Hybrid Approach Adopted for Credit Card Fraud Detection Based on Deep Neural Networks and Attention Mechanism

Over the past few years, credit card fraud has become a serious problem as more individuals rely on credit cards for purchases. The significant increase in fraudulent activities can be attributed to advancements in technology and the prevalence of online transactions, leading to significant financial losses. To address this issue, an effective fraud detection system needs to be developed and put into practice. Machine learning techniques are commonly used to automatically detect credit card fraud, but they do not consider deceptive behaviour or behavioural issues that could lead to false alarms. The objective of this research is to determine how to identify instances of credit card fraud. This paper aimed to create a model using deep learning and SMOTE oversampling technique to anticipate credit card fraud. A Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM) and an attention mechanism is suggested for detecting fraud. This model is known to be effective for processing sequential data with complex relationships between vectors. The performance of RNN-LSTM is compared to XGBoost, Random Forest, Naive Bayes, SVM, and ANN classifiers, and the experiments indicate that our proposed model achieves high accuracy of 99.4% and produces strong results. The suggested model has the potential to decrease financial losses worldwide by identifying instances of credit card scams or frauds.
Digital Forensic Tools And Techniques For Handling Digital Evidence

The development of information security issues in many sectors makes the skill of mastering digital forensic highly needed. Digital forensic is recently used not only to support legal proceedings but also to investigate many incidents like digital data manipulation, site hacking, and terrorism. In mastering the skill of digital forensic, investigators should have knowledge about the techniques and tools that will be used. This research is proposed to help investigators in enhancing and developing their skills in revealing the content of digital evidence with the result reviews from each area in the forensic field. The review in this study is based on the focus of the forensic area by giving detailed information about the functions, limitations, and advantages as well as the specific techniques of forensics that leads to the techniques of live forensic or static forensic. This research also discusses the non-technical things that affect the performance of forensic investigation including operational activities, investigated activities, and legal elements. Thus, the result of this research is expected to be beneficial for helping investigators in determining the appropriate tools to investigate the digital evidence. The further research can develop the activities of anti-forensics that can hinder the investigation processes.
Opportunities and Limits of a Disciplinary Repository Using the Example MO|RE data (eResearch Infrastructure for Motor Research Data)

Out of two funding periods by the German Research Foundation resulted the first disciplinary repository for sports science motor activity research data MO|RE data. MO|RE data addresses sports scientists, researchers from related disciplines and practitioners such as teachers and educators, which work with or generate human motor performance test data as well. It has five main functions: publishing, storing, searching, citing and mapping. There are still some limitations as well as not exploited opportunities. Opportunities include among others the international expansion. Limitations are e.g., that linking health and motor test data is difficult due to data protection law. The sharing of sensitive data is not possible with the current concept and needs further solutions as e.g., remote access or workstations for guest researchers. In future, those data sets must be kept in mind to cover the requirements of research data management in sports science. Overall, the need for further development and optimization of MO|RE data repository in sports science becomes apparent to maximize its potential and ensure that it meets the evolving needs of researchers in the field.
RO-Crates Meets FAIR Digital Objects

RO-Crates makes it easier to package research digital objects together with their metadata so both dependencies and context can be captured. Combined with FAIR good practices such as the use of persistent identifiers, inclusion of license, clear object provenance, and adherence to community standards, RO-crates provides a way to increase FAIRness in science. In this abstract we present the use of RO-Crates, combined with Linked Data best practices, as an implementation for lightweight FAIR Digital Objects, and its possible use in NFDI consortia.
Features of the Formation of Digital Competence of Higher Education Students Majoring in 029 "Information, Library, and Archival Studies"

The purpose of the article is to analyse the features of the formation of digital competence of future specialists in information, library, and archival studies in the process of studying a cycle of professionally oriented disciplines. The research methodology consists in the application of general scientific and special research methods: analysis, synthesis, classification and systematisation of theoretical data, as well as bibliographic, analytical, and documentary analysis. These research methods provided an opportunity for a comprehensive study of the problem of the formation of digital competence of students and draw relevant conclusions and generalisations. The scientific novelty of the work is that: 1) the emphasis is placed on the fact that in developing specialised courses, the teacher should be guided by the state standards of higher education; 2) the necessity of forming digital competence in students of information, library and archival affairs within the framework of studying a cycle of specialised disciplines is substantiated; 3) the experience of forming digital competence in students of speciality 029 "Information, Library and Archival Affairs" of Ivan Franko National University of Lviv is summarised. Conclusions. At the present stage, there is a significant expansion of the boundaries of the use of the latest information technologies in the activities of documentary and information institutions. Therefore, today it is important to take into account this aspect when preparing and improving the training programmes of the cycle of specialised disciplines for students majoring in 029 “Information, library, and archival studies”.&#x0D; Key words: digital competence, general and special competencies, professional training, distance learning, specialty 029 “Information, library, and archival studies”, Ivan Franko National University of Lviv.&#x0D;
Improving Collaborative Filter Using BERT

With the increasing number of books published and the difficulty of obtaining appropriate research attention, the recommendation systems can increase the affordability and availability of these books. In this work, we expand our work to enhance the accuracy of book collaborative filtering by applying semantic similarity to book summaries, in addition to that addressing major problems of the current work by applying effective techniques to handle the scalability and sparsity problems. The proposed approach consists of three stages: preprocessing, building the system, and evaluation. The technologies used in the pre-processing stage included reduction and normalization. The construction system is divided into two phases: semantic similarity and recommendation. The semantic similarity is done by using BERT for sentence embedding and cosine similarity to calculate the similarity between sentences. During the recommendation phase by using CF based on KNN. In the evaluation stage, classification accuracy metrics had been used. The proposed approach improved the accuracy of the book recommendation system and increased the accuracy to 0.89 compared to previous works on a dataset of 271,000 book summaries. The proposed approach yielded better results due to avoiding problems in previous work, such as scalability and sparsity, by using BERT with CF based KNN. Filtering the data using BERT and the KNN algorithm in the CF added strength to the recommendation, which led to an increase in the accuracy rate.
Hiding a Secret Message Encrypted by S-DES Algorithm

Nowadays, it is quite usual to transmit data through the internet, making safe online communication essential and transmitting data over internet channels requires maintaining its confidentiality and ensuring the integrity of the transmitted data from unauthorized individuals. The two most common techniques for supplying security are cryptography and steganography. Data is converted from a readable format into an unreadable one using cryptography. Steganography is the technique of hiding sensitive information in digital media including image, audio, and video. In our proposed system, both encryption and hiding techniques will be utilized. This study presents encryption using the S-DES algorithm, which generates a new key in each cycle to increases the complexity of the algorithm detection. An additional shared key between the sender and the receiver is added which is applied before starting the encryption process, that key must be hex-decimal in order to increase the level of security and give enough time to delay the guessing of the secret text by the attackers. The secret message data is concealed using one of the two techniques: either least significant bit (3-LSB) steganography or hiding in green and blue bits. To expedite the concealment process, the cover image is enhanced by applying a median filter, the median filter removes noise from the image while preserving its details. Finally, comparing the results of the two methods to determine which is better for the cover image in terms of PSNR metrics and hiding process time.
Formation and Trends in Development of Digital Theatre in Contemporary Internet Culture

The purpose of the article is to identify the peculiarities of the formation and the main trends of the development of digital theatre in the context of the specifics of contemporary Internet culture. Research methodology. The structural-functional method (to summarise the theoretical and methodological foundations of the study of digital theatre in contemporary Internet culture), the typological method (to determine the features of Internet culture), the diachronic method (to consider digital theatre in the context of the specifics of its historical development), the method of comparative analysis (to identify the common and distinctive features of online theatre and digital theatre); and the method of theoretical generalisation have been applied. Scientific novelty. The peculiarities of the formation and trends in the development of digital theatre in the context of modern Internet culture have been studied; the concepts of "digital theatre" and "online theatre" have been clarified; the main characteristics of digital theatre have been revealed; little-known materials on the development of digital theatre have been introduced into scientific circulation. Conclusions. The study has revealed that digital theatre is characterised by: the use of digital technologies as the basis of the production; various approaches of stage directors-producers to the use of digital technologies in the process of implementing the author's idea, which ensures the uniqueness and originality of each digital theatre performance; a high level of immersion, which involves the full immersion and involvement of the viewer in the theatrical action; specific interactivity (the viewer affects the development of the storyline); lack of binding to a specific venue; the possibility to attract a significant number of viewers (thanks to information and communication technologies); active combination of various techniques of theatre and film art, video games and media art; accessibility for potential viewers. Digital theatre performances presented in contemporary Internet culture on various platforms for video conferencing and webinars, social networks, and so on represent experimental forms of artificial integration of traditional elements of the performance into virtual reality, a new aesthetics of digital theatrical expression and, accordingly, lead to the transformation of professional tools. Digital theatre, which is currently in its infancy, has a powerful potential that arises at the intersection of theatricality and digitality.&#x0D; Key words: digital theatre, online theatre, Internet culture, digital technologies, performances.
A Novel Clustering and Matrix Based Computation for Big Data Dimensionality Reduction and Classification

For higher dimensional or "Big Data (BD)" clustering and classification, the dimensions of documents have to be considered. The overhead of classifying methods might also be reduced by resolving the volumetric issue of documents. However, the dimensions of the shortened collection of documents might potentially generate noise and abnormalities. Previous noise and abnormality information removal strategies include several different approaches that have already been established throughout time. To increase classification accuracy, current classifications or new classification methods that has created to conduct classification, must deal with some of the most difficult issues in BD document categorization and clustering. Hence, the goals of this research are derived from the issues that can be solved only by expanding classification accuracy of classifiers. Superior clusters may also be achieved by using effective "Dimensionality Reduction (DR)". As the first step in this research, we introduce a unique DR approach that preserves word frequency in the document collection, allowing the classification algorithm to obtain improved (or) at least equal classification levels of accuracy with a lower dimensionality set of documents. When clustering "Word Patterns (WPs)" during "WP Clustering (WPC)", we imply a new WP "Similarity Function (SF)" for "Similarity Computation (SC)" to be used as part of WPC. DR of the document collection is accomplished with the use of information gained from various WP clusters. Finally, we provide "Similarity Measures" for SC of high dimensional texts and deliver SF for document classification and deliver SF for document classification. With assessment criteria like "Information-Ratio for Dimension-Reduction", "Accuracy", and "Recall", we discovered that the proposed method WP paired with SC (WP-SC) scaled extremely effectively to higher dimensional "Dataset’s (DS)" and surpasses the current technique AFO-MKSVM. According to the findings, the WP-SC approach produced more favorable outcomes than the LDA-SVM and AFO-MKSVM approaches.