Reviewerly/exHarmony huggingface dataset:
RCOVID: AN ALGORITHM TO DETECT COVID-19 REINFECTIONS IN LARGE-ROUTINE EXAM DATABASE

Reinfection affected 3.7–4.8% of COVID-19 survivors globally. No statistical validation was reported in retrospective or cross-sectional studies that used large-sample data from routine laboratory testing to detect reinfections. Therefore, we create and validate an algorithm (RCOVID) to detect COVID-19 reinfection cases in a large sample database. We apply RCOVID in three versions of simulation database with of valid and invalid cases of COVID-19 reinfection based on the CDC definition. Additionally, we tested the RCOVID in a real-world routine exam database with 10,539,186. The algorithm detects precisely all infections of the simulated database, with 100% of sensitivity, specificity, and Kappa agreement. Finally, in the real-world database with 7,393,829 valid notifications (after cleaning) and 2,321,185 cases of infections, RCOVID detected 142,308 first reinfections, 4,384 second reinfections, and 110 third reinfections, and 1 case of fourth reinfections. RCOVID is a reliable tool valid to detect COVID-19 reinfection cases in large sample routine exams.
New directions in live narrative: children and biography: reading and writing life stories <b>New directions in live narrative: children and biography: reading and writing life stories</b> , Edited by Kate Douglas, 2023, Great Britain, Bloomsbury Academic, £85 (Hardback), ISBN 9781350236363, £61,20 (eBook), ISBN 978350236387

Click to increase image sizeClick to decrease image size AcknowledgmentsThe authors would like to express their deepest gratitude to Lembaga Pengelola Dana Pendidikan (LPDP) for supporting this article’s publication.
Investigation of How Animal Avatar Affects Users’ Self-Disclosure and Subjective Responses in One-on-One Interactions in VR Space

In social VR, users can communicate with others through their avatars, and their appearance can be customized. In communication using avatars, previous research revealed that avatars with dissimilar appearances to the user encourage greater self-disclosure than avatars with similar appearances. This study focused on non-humanoid animal avatars because they have dissimilar appearances to users and also have other positive effects (e.g., promoting intimacy), so they are expected to promote self-disclosure. In our previous research, we propose a one-on-one communication system in which the user and the interlocutor use animal avatars in a VR space to investigate the effects of animal avatars on the users’ self-disclosure. The system converts the users’ movements acquired by the sensors mounted on the HMD and the controllers into the movements of the animal avatar and transmits them to the interlocutor. In this study, we conducted an experiment using the proposed system to investigate the effect of the avatars’ appearance on users’ self-disclosure and subjective responses. Experimental results showed that the proposed system did not promote users’ self-disclosure, which was expected as an effect of the animal avatars. However, in the other items, intimacy with the interlocutor and perceived attractiveness of their own avatars were improved.
ANALISIS BUTIR SOAL LITERASI MEMBACA PADA INSTRUMEN ASESMEN KOMPETENSI MINIMUM SISWA SMK

The reading literacy AKM tested at the State Vocational Schools of Ariculture calss X was previously not tested beforehand, so the eligibility of the items was not yet know so it was necessary to have the validity and reliability of each of these questions, how was the quality of the questions, whether the validity and reliability requirements had been fulfilled or not. Three is 1 instrument analyzed for the minimum competency assessment for reading literacy, which consists of 25 item. The data obtained Wet analyzed using the item validity test rechnique with person correlation and the cronch alpha reliability test was carried out. This study found the results that 1) item that had validity with good eligibility by 48% Wet declared valid and Three were as many as 52% declared invalid. the 2) the feasibility of the items seen from reliability is stated to have a very high level of reliability by obtaining a cronbach alpha value of 0.731.
Application Reception Student New At School Outside Ordinary (SLB) Pembina Pekanbaru Web based

Since the COVID-19 pandemic has hit the world, it has made it difficult for prospective students to receive education directly, so that in 2021 the acceptance of new prospective students at the Pekanbaru Pembina State Extraordinary School is 24 prospective students, even schools that usually register new students offline or directly have now changed to online registration. The registration system at the Pekanbaru Pembina State Extraordinary School already uses an online system, namely in the form of a google form in registration and does not include uploading supporting documents. To overcome these problems, a web-based registration system is proposed. The design of this system uses the PHP and MySQL programming languages as databases, and uses the prototype method as a method of making a prospective student registration system. Modeling and system design in general use UML. With the development of a web-based registration system for prospective students, it makes it easy for parents who want to register their children to school, there is no need to come back to school in filling out registration forms or uploading the required documents. and make it easier for school principals to monitor data on prospective students who have been registered at the Pekanbaru Pembina State Extraordinary School, because this system is equipped with a feature to print data reports of registered prospective students
Data Visualization Analysis of Waste Production Volume in Every District of Tangerang Regency in 2021 Using Looker Studio and Big Query Platforms

The waste problem is a problem that continues to increase every year in Indonesia. Tangerang Regency as one of the regencies in Banten Province has the same problem related to the volume of waste production. Therefore, this study aims to analyze and visualize data on the volume of waste production in each sub-district in Tangerang Regency in 2021 using the Looker Studio and Big Query platforms. The method used in this research is descriptive method with a quantitative approach. The data used is secondary data obtained from the Tangerang Regency Environmental Service. The results showed that there were significant differences in the volume of waste production between one sub-district and another. Data visualization using the Looker Studio and Big Query platforms makes it easy to understand patterns and trends in the volume of waste production in each district. This research is expected to provide input for the Tangerang Regency government in making policies related to waste management in the area. This study employs data processing and analysis methods utilizing two platforms, namely Looker Studio and Big Query. The decision to adopt these platforms is backed by previous research, such as the study conducted by, which demonstrated that utilizing Looker Studio can lead to expedited and more effective business decision-making. Furthermore, the effectiveness of Big Query in processing large and intricate datasets has also been substantiated by various studies. By leveraging these platforms, the study aims to enhance the efficiency and accuracy of data processing and analysis for better-informed business decisions.
Application Method Certainty Factor in Electrical Damage

Electricity is need main For life people human . Electricity is used man For various type activity human . Electricity plays a big role for life , like For lighting , cooking , and so on . Almost all activity daily use electricity . Almost every home in Indonesia, both in the city nor village Already trellis with electricity . For stream and distribute electricity to each home , office nor distant institutions _ away , then needed Transformer Distribution . Transformer Distribution This own objective use special that is, to lower voltage tall to voltage low , so that the voltage used in accordance with equipment ratings electricity customer or load in general . For help in handle problem damage Transformer distribution , then one is needed branch from Knowledge computer that is System Expert . System Expert is system based computer that uses knowledge , facts , and techniques reasoning in solve problem , which usually is only can completed by one expert in field certain . (Putri, 2020). The method used in research _ This is Certainty Factor. Study This apply certainty factor method For role in diagnose damage to electricity . Based on results discussion on with choose one _ damage namely P1 ( Oil transformer go out from the transformer body ) on the study case obtained decision level accuracy that is as big That's 5.650198%. means system expert certainty factor method can overcome damage and deliver results diagnosis good at damage electricity
THE INFLUENCE OF MUSIC ON THE PSYCHO-EMOTIONAL STATE OF STUDENTS

World experience shows that musical art significantly affects the psycho-emotional, moral, aesthetic and cultural-moral state of a person, as evidenced by a large number of interesting facts and scientific papers. The relevance of the research problem in this article lies in the need to generalize and systematize theoretical and practical knowledge related to the problem of predicting the influence of music on the psycho-emotional and physical state of a person. The article discusses the question of what effect music has on the psycho-emotional state of the student and his creative abilities. For this purpose, a short-term study was conducted with students. In the course of the study, the method «Music Graphics» was used. Music graphics are a unique way of visualizing by creating the impression of music through any visual media. The study studied the impact of various musical styles, including classical music, modern and rock music, on the psycho-emotional state of a person. As a result of the study, it was found that all styles of music affect the psycho-emotional state and creative abilities of students in different ways, and it was concluded that classical works and modern music had a positive effect, in particular, there was an improvement in mood, and listening to rock music had a negative effect on the psycho-emotional state of a person. Key words: music, psychology, psycho-emotional state, classical music, rock music, modern music.
Silencing the Voice: the fossil-fuelled Atlas Network’s Campaign against Constitutional Recognition of Indigenous Australia

Australians will soon vote in a referendum to recognise Indigenous Australia in its 1901 Constitution and establish a First Nations Voice to Parliament. A year ago, polling suggested the referendum proposal of the 2017 National Constitutional Convention and its Uluru Statement from the Heart enjoyed 60% support. Since lead anti-Voice campaign organisation Advance Australia began its media offensive, the Yes vote has declined to 40%. This article argues the No campaign is being conducted on behalf of fossil-fuel corporations and their allies, whose efforts to mislead the public on life-and-death matters reach back over half a century. Coordinated across the Australian branches of the little-known Atlas Network, a global infrastructure of 500+ ‘think-tanks’ including the Centre for Independent Studies, the Institute of Public Affairs and LibertyWorks, I demonstrate that the No campaign shares the aims and methods of the longstanding Atlas disinformation campaign against climate policy. Opposition to long-overdue constitutional recognition for Indigenous Australians can be traced to fears the Voice might strengthen the capacity of Indigenous communities and Australia’s parliamentary democracy to rein in the polluting industries driving us toward climate and ecological collapse.
Scientometric Analysis of Communication Disorders

This paper presents the scientometric study of the growth of literature on communication disorders from 1999-2018. The study analyzed and discussed the yearly growth of publications, authorship pattern, citation pattern, co-authorship, most productive authors, and ranking of authors by using various indices. The researcher collected the required data from the Web of Science database. After standardization, the retrieved research literature has been analyzed with scientometric tools and meaningful inferences. The year 2018 has contributed the highest number of research papers, scoring 20948. The keyword ‘Autism’ occurrences in 50744 (35.85%) papers. The Collaboration Index (CI=9.55), Degree of Collaboration (DC=0.97), and Collaboration Coefficient (CC=0.52) of research output in communication disorders. Langguth, Berthold is a most prolific and influential author of hearing disorders research. He published 132 articles with 5682 citations. There is a decrease in compound year growth rate (CAGR=-6.36) in research publications on communication disorders.
Nursing education based on AR(Augmented Reality): Review Literature as Topic(2013∼2023)

Purpose : This scoping review aims to explore research on augmented reality in nursing student education within domestic academic journals or theses published between 2013 and 2023. The study analyzes augmented reality- based educational interventions and evaluations to establish effective educational strategies in nursing.&#x0D; Method : The research methodology of this study involves a qualitative research approach utilizing a literature review within the scope of the topic.&#x0D; Results : Examining 10 papers on augmented reality in nursing education published between 2013 and 2022, a significant upward trend in publications emerged starting from 2021, with both years seeing four papers each. The potential of augmented reality to enhance nursing education through interactive and innovative learning experiences is evident, suggesting the integration of real augmented reality encounters into the nursing curriculum.&#x0D; Conclusion : This review suggests the incorporation of augmented reality experiences in nursing education to enhance learning outcomes and students’ overall educational experiences. Implementing a curriculum that embraces augmented reality can offer nursing students valuable and interactive learning opportunities.
Exploring the role of edge distribution in graph convolutional networks

Graph Convolutional Networks (GCNs) have shown remarkable performance in processing graph-structured data by leveraging neighborhood information for node representation learning. While most GCN models assume strong homophily within the networks they handle, some models can also handle heterophilous graphs. However, the selection of neighbors participating in the node representation learning process can significantly impact these models’ performance. To address this, we investigate the influence of neighbor selection on GCN performance, focusing on the analysis of edge distribution through theoretical and empirical approaches. Based on our findings, we propose a novel GCN model called Graph Convolution Network with Improved Edge Distribution (GCN-IED). GCN-IED incorporates both direct edges, which rely on local neighborhood similarity, and hidden edges, obtained by aggregating information from multi-hop neighbors. We extensively evaluate GCN-IED on diverse graph benchmark datasets and observe its superior performance compared to other state-of-the-art GCN methods on heterophilous datasets. Our GCN-IED model, which considers the role of neighbors and optimizes edge distribution, provides valuable insights for enhancing graph representation learning and achieving superior performance on heterophilous graphs.
Imprint: Geomechanics and Tunneling 5/2023

Geomechanics and TunnellingVolume 16, Issue 5 p. 607-607 ImprintFree Access Imprint: Geomechanics and Tunneling 5/2023 First published: 03 October 2023 https://doi.org/10.1002/geot.202370508AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume16, Issue5October 2023Pages 607-607 RelatedInformation
Hindi Sign Language Detection using CNN

Significant challenges arise for individuals who are deaf and mute, as effective communication is crucial in today's world. Bridging the communication gap is of utmost importance, and advancements in machine learning offer a solution. This research focuses on developing a Hindi sign language detection system to address the needs of Hindi speakers in India, where Hindi is the most spoken language. By enabling communication in Hindi through sign language, this system ensures that individuals who are not proficient in English can fully participate in society and access education effortlessly. Existing systems primarily cater to American Sign Language (ASL) and Indian Sign Language (ISL), leaving a gap for Hindi sign language. Through the proposed methodology and leveraging machine learning techniques, the system aims to revolutionize the lives of the deaf and mute, empowering them to express themselves, interact seamlessly, and be understood by a wider audience. By addressing this crucial problem, the research contributes to inclusivity, accessibility, and equal opportunities for Hindi speakers.
Effectiveness of India's Cybercrime Investigation and Prosecution Framework in Dealing with Cyber Crimes

Cybercrime primarily consists of actions that use the internet and computers as tools to obtain private information about a person, either directly or indirectly, and to disclose that information on online platforms without that person's consent or in violation of the law with the intention of damaging that person's reputation or causing them mental or physical harm. "Nowadays, a guy may complete all of his needs online, including his educational needs, employment needs, shopping needs, and money needs. A variety of cybercrimes have evolved with the expansion of the internet. This is mostly due to the fact that more than half of internet users have just a basic understanding of how online platforms operate, are uninformed of technical changes, and lack proper training and education. India is one of the few nations that has passed the IT Act 2000 to address issues relating to cybercrimes in order to protect its citizens from being exploited by vicious predators, but this act ignores some of the most serious threats to women's security, and issues involving women are still expanding significantly.
Digital Citizenship and Education in India Concerning NEP 2020: A Qualitative Study

The paper examines the importance of digital citizenship and technology integration in education in India concerning the National Education Policy (NEP) 2020. The literature review highlights the need for digital citizenship education to promote the responsible and ethical use of technology and the provisions of the NEP 2020 in this regard. The paper also analyzes the provisions of the NEP 2020 and concludes that it emphasizes technology integration in education and provides initiatives to incorporate digital technologies in education. The study also reveals the potential of technology integration in enhancing the learning experience for students and bridging the digital divide. The paper finds a need for more awareness and understanding of digital citizenship among educators and students in India and investment in digital infrastructure and teacher training programs. Based on these findings, the paper recommends that the Indian government invest in digital infrastructure and teacher training programs to support technology integration in education.
The Interactive Sphere for Three-Dimensional Control in Games and Virtual Reality

In electronic games, the controller is the mean through which the player can interact with the game’s virtual world, being an essential factor in all of the user experience. New controllers may, therefore, completely modify the player experience, also serving as a tool to investigate new ways of interacting with interactive systems of various purposes. In this context, this paper presents the Interactive Sphere, a spherical device to be employed specially with games and virtual reality environments. This novel device combines the pressing of certain regions of the sphere with gestural interaction, in addition to providing haptic, auditive and visual feedback. The paper describes all of the rationale behind the decisions taken during the design and development process of the device, in addition to the techniques employed for implementing the detection of the acts of pressing and moving the Interactive Sphere. In this project, accessible, low-cost materials and techniques were prioritized, which could be more easily adapted to other contexts. We envision that the lessons learned and the guidelines derived from its design and development process may assist in the idealization and construction of new ways of interacting, by providing a set of methods, techniques and technologies that were employed in the development of a new physical artifact of interaction presented in this work.
Challenges of Senior High School ICT Teaching and Learning in Times of Pandemic: Perspectives from the Lens of Social Reconstructionism

The purpose of this research is to examine social reconstructionism, as a philosophy of education in ICT learning in Philippine senior high schools. It will also explore the online teaching and learning methods being used in senior high schools during the pandemic.
Unraveling the Academic Odyssey: Challenges, Discipline Dynamics, and Remedial Measures for Head Teachers in Public Secondary Schools of Micheweni District

The study focused on challenges head teachers face in enhancing students’ academic performance in Zanzibar secondary schools specifically in Micheweni District. Thus, the study aimed to address the challenges that head teachers face in improving academic performance. To determine the possible measures to address the challenges head teachers face in improving academic performance in public secondary schools in Micheweni district. Total sampled respondents were 160 people from 10 public secondary schools. This study involved 10 head teachers, 49 class teachers, 100 students and 1 District Educational Officer was selected as a sample. The study employed qualitative design by using interview, focused group discussions, observation and document review as methods of data collection. The overall findings show that head teachers worked in hard environments as compared to when the free education policy was not in operation from the teachers and the parents. The study recommended establishing extra curriculum for examination classes to improve student performance and to provide chance for teachers’ professional development through in-service training in order to achieve quality education.