Reviewerly/exHarmony huggingface dataset:
Implementasi Augmented Reality Untuk Pengenalan Huruf Dan Angka Isyarat Untuk Anak SLB B

exchange or delivery of information and messages from one party to another in order to understand each other between the two. Communication is usually done orally or verbally so that it can be understood by both parties. children with special needs, deaf in communicating have difficulty communicating and understanding messages, so they need to use language that suits their needs. Therefore the use of media to improve the ability of children with hearing impairments must be assisted by using media that can help children learn sign language by attracting students' attention and increasing interest in learning. This research uses the Multimedia Development Life Cycle method which has six stages. These stages are concept, design, material collecting, assembly, testing and distribution. This research utilizes Marker Augmented Reality technology as a tool to represent the introduction of the Sign Language System (SIBI). This application is used as a media or tool to help students learn to recognize letters and numbers in sign language. Based on the results of black box testing, all functions in this application have been running properly and are valid. Testing with the System Usability Scale (SUS) obtained a score of 85, so the application was declared ACCEPTABLE. Media expert testing gets a score of 91 with a percentage of 91% and can be categorized as very high so it is feasible to use. Material expert testing gets a score of 85% and is categorized as very high so it is feasible to use with revisions according to suggestions.
Readiness of future teachers to the prevention and correction of bullying in the school environment

The article substantiates the defining role of the teacher in countering the manifestations of bullying in the school environment. The reasons for the insufficient efficiency of the work carried out in general educational organizations to solve this problem are explained. It proves the necessity of formation in the course of professional training in higher education of the future teachers’ readiness for the prevention and correction of bullying manifestations among schoolchildren. The components of the future teachers’ readiness for the prevention and correction of bullying in the school environment, as a holistic personal education (motivational-value, cognitive, operational-activity), and their components are determined. A questionnaire was developed and an empirical study of the readiness of future teachers for the prevention and correction of bullying manifestations was carried out. The survey data were analyzed, indicating the highest formation of the motivational component of readiness. The vast majority of future teachers recognize the importance of the task of counteracting the manifestations of bullying in the children's environment, which every teacher and class teacher must solve. However, the number of students who consider the problem of bullying to be the responsibility of parents is also significant, which indicates the need to form a motivational component of readiness in them. At the same time, the survey showed the need for future teachers to form a system of knowledge and ideas in this area, as well as the skills and abilities of practical problem solving. Based on the results of an empirical study, recommendations are presented on the formation of the readiness of future teachers for the prevention and correction of bullying in the school environment during professional training at the university.
TRANSnationalizing STS: Places, Spaces, and Politics

Why, how, and for whom does it matter to walk through, attend and attune to plural and complex STS places/spaces? By building on the STS Across Borders and Innovating STS exhibits held at 4S 2018 and 2019 meetings, this thematic collection unpacks this question and explores the potentials of TRANSnational STS as a methodological orientation in these uncertain times, in a world where technoscientific knowledges and practices are constantly instrumentalized, reproducing colonial, imperialist, racist, nationalist and toxic relationships. The landscape of analysis in curating this thematic collection begins with the places of STS; this can be either a place where an STS meeting is held, an institution where STS scholars do research and teaching, or a formation that brings people together for social studies of science and technology. We invite readers to slowly walk through such a landscape, observing in detail particular places of STS. The contributors to this thematic collection highlight the importance of thinking and theorizing by starting with lived experiences, investigating each phenomenon within its own reality, and creating and conserving spaces for plurality with responsibility and care. Recognizing that reality is multi-layered, and thus needs a plurality of perspectives, the invitation to think about STS theories and practices through the analytic of place is about opening and holding collaborative spaces for ongoing discussions over the politics of STS without reproducing a form of methodological nationalism. This introductory essay presents what we have learned over the last four years navigating in and through TRANSnational STS places/spaces and constitutes one stop in our journey to slow down, reflect on, and share what it means to TRANSnationalize STS. With this collection, we hope to open a public space in ESTS to continue thinking collectively about potential new pathways for the future of the field.
A Fully Decentralized Privacy-Enabled Federated Learning System

This paper looks into the field of blockchain-based federated learning, an area that’s been studied a lot but is often too abstract for real-world use. Most solutions stay inside academic discussions, and there’s a lack of practical, usable options. Our work introduces a new system that uses blockchain for federated learning in a straightforward, real-world way. Our system includes novel features such as an innovative anti-plagiarism mechanism and a unique consensus method for validating training results. We explain our methods, main results, and what our work could mean for the future in the paper. Our study could help make blockchain-based federated learning more useful by changing how data is shared and learned, all while keeping privacy and decentralization. This could drive more work into creating usable solutions in this field.
Supplemental Material: Multivariate examination of the sediment-deficient southeast Australian continental shelf

&lt;p&gt;Additional methodology, figures, and data.&lt;/p&gt;
Studies On Mosquitoes Anopheles Species Resting Densities Indoors In Kodok Locality, Upper Nile State, South Sudan (2020-2022).

Malaria is a disease caused by the parasite Plasmodium, which is transmitted by the bite of an infected female anopheles mosquito, only the Anopheles genus transmitted malaria to human. Entomological cross sectional studied carried out over 24 months, period from April 2020 to March 2022 in four areas of the Kodok locality in Upper Nile State in South Sudan to determine indoor resting density and seasonal changes in indoor resting density, additionally to number of Anopheles and other mosquitoes in a given room by using pyrethrum spray sheet collection for mosquitoes collection Bi-monthly from descriptive household, eighty houses and dipper for larvae collection from eight breeding sites to establish active larvae breeding site patterns, seasonal density and seasonal change in larvae density , morphological identification and sorting out of mosquitoes species according to species morphologically characteristics by using key identification of Gillies and de Meillon 1968. Total mosquitoes collected were 63644 within eighty houses and identified into species; An. gambiae s.s 68% (43084), An. arabiensis 26% (16840) and other mosquitoes 6% (3720). The density vary between different houses ; An. gambiae s.s 52-67and An. arabiensis 20-28 in rainy (April to October ) season but in dry season (November to March) An. gambiae s.s 2-12 and An. arabiensis 0-5. During the sampling of mosquitoes larvae, a total number 7704 larva collected; anopheles gambiae 88% (6748) and other mosquitoes 12% (956), within eight potential breeding sites, 384 numbers of visit to sites.
CORES Issues on Blockchain Deployment in Healthcare: Evidence from Experts

&nbsp; The annual ConV2X is a leading international health tech symposium driving real world evidence, strategy, research, operations and trends to create a blueprint for a new digital health era. The 2021 symposium&nbsp;featured a scientific program of academic/research presentations in addition to business and industry talks. The research track&nbsp;focused on exploring and sharing developments in blockchain and emerging technologies in health and clinical medicine. Submissions were based on original research, conceptual frameworks, proposed applications, position papers, case studies, and real-world implementation. Selection was based on a peer-review process. Faculty, students, and industry researchers were encouraged to submit abstracts to present&nbsp;ideas before an informed and knowledgeable audience of industry leaders, policy makers, funders, and researchers. This presentation was selected by the scientific review committee. Submission Review Committee Dave Kochalko, CEO of ARTiFACTS Anjum Khurshid, UT Austin Carlos Caldas, UT Engineering Gil Alterovitz, Harvard Medical School Kayo Fujimoto, UT Health Houston Lei Zhang, University of Glasglow Sean Manion, CSciO of ConsenSys Health Vijayakuman Varadarajan, University of South Wales Vikram Dhillon, Wayne State University Yuichi Ikeda, Kyoto University &nbsp
Research on Path Planning and Tracking of Automatic Parking

With the development of automatic parking system, path planning and path tracking have been the focus of attention. For parallel parking and vertical parking, this paper mainly studies the implementation of the strategy of the parking path planning and tracking algorithm. The fitting method based on a polynomial function is used to plan the optimal parking path reasonably, and the pure pursuit algorithm is used to track the path after planning. The feasibility of path planning and the effectiveness of path tracking are verified by simulation experiments. This paper is also of great significance to the field of intelligent driving.
Analysis on the Current Situation and Path of Revitalization of Rural Talents in Hainan Province

When it comes to the revitalization of the countryside, talents are inevitably needed. Talent revitalization can achieve the development of the countryside. Similarly, the revitalization of the countryside can also attract talents. The two are complementary to each other. However, at present, the countryside of Hainan Province is relatively backward, and most of the imported talents are concentrated in the cities and towns. This paper takes the backward villages in Hainan Province as the research objects, and studies the current situation of rural talents in the city in detail through a literature review, data analysis, field survey, and interview, searching for the existing problems. According to the survey, Hainan Province currently suffers from a shortage of talents, an imperfect talent training mechanism, insufficient attraction of foreign talents, and a weak management ability of village cadres. Meanwhile, countermeasures such as improving the talent training system, exploring and attracting talents in all aspects, and providing employment and entrepreneurial opportunities are proposed. The development of the countryside still needs to focus on the leading industries of Hainan Province, cultivate local talents, attract foreign talents, and make efforts to improve the quality of the talent team.
Komparasi Metode Apriori dan FP-Growth Data Mining Untuk Mengetahui Pola Penjualan

Sales data is generally still rarely used, as well as the Perfume Corner shop just piling up in the database, even though there are problems experienced by the store regarding sales data for the best-selling products and to increase the number of sales of subsequent perfume products, so that the store can survive and develop even better. The algorithm that can be used to manage sales data to overcome this problem is Apriori. The research method used in this research is the KDD (Knowledge Discovery in Database) process. This research produces a high frequency pattern for itemsets with a minimum support value of 20% resulting in products that become The Most Tree Items namely Jo Malone 82.49%, Zarra 28.25%, and Zwitsal 20.34%. While the association rules formed from the value of Min. Supp 20% and Min. Conf 80%, get a combination of 2 itemsets, namely Jo Malone and Zarra. Whereas for the combination of 3 itemsets, namely Jo Malone, Zarra and Baccarte with valid and strong status, it is proven by a lift value greater than 1, therefore the association rules are very appropriate to be used.
Exploring the Impact of Game Human-computer Interaction Design on Enhancing Users' Immersive Experience

As a new form of artistic expression with infinite possibilities, interactive film games first trace the history of the creation and development of interactive film games at home and abroad; and then show the characteristics of the interactive film form with examples. This paper focuses on the interactive experience and the development process of interactive cinema, and the relationship between film interaction design and the users immersive experience. Interaction design accurately plans and describes the behavior of things, and effectively describes and communicates this behavior, which is an integral part of the users immersive gaming experience, while the behavior fed back to the user by interaction design directly affects the user's gaming experience.
Awareness and Usage of Information Retrieval Functionalities Found in the Online Public Access Catalogue by Undergraduates at the University of Venda

Calls for a shift from the Online Public Access Catalogue (OPAC) to discovery systems craft a need for recognising the information-searching behaviour of the current genre of library users. This study examined the undergraduate students’ awareness and usage of information search functionalities that are embedded in OPAC at the University of Venda (UNIVEN) in Limpopo Province, South Africa (SA). Quantitative data were collected using a Google Form questionnaire, the link of which was e-mailed to the participants to complete. A systematic random sampling method was applied to arrive at 563 respondents. The findings revealed that most respondents rated their level of awareness of OPAC as average. Although some were familiar with OPAC search functionalities, such as author-and-title search entries, and preferred using simple search options on OPAC, there were respondents who were not familiar with Boolean operators, truncation and wildcard symbols, proximity operators, and field search. The major variables affecting their information retrieval on OPAC were poor internet connection and their lack of skills in searching for information from OPAC. This study recommends that librarians promote the importance of using all OPAC functionalities and train undergraduates to improve their awareness and optimal usage of OPAC.
Exploration of undergraduate students lived experiences of using a chatbot for English language learning

The present study aimed at comprehensively understanding how English language learners benefit from using chatbots. The researchers utilized purposive sampling to undergraduate students who were enrolled in the General English language course during the final semester of 2021 at a public university in Malaysia. With a phenomenological perspective at its core, this study conducted semi-structured interviews with 25 students. The interview data analysis followed Braun and Clarke (2006) thematic analysis approach. The data was analyzed using an inductive approach based on the Interactive, Constructive, Active, and Passive (ICAP) framework categorizing and passive learning modes. Results revealed that three of these- passive, active and constructive modes gave exposure to students about language materials via meaningful activities contributing towards their overall proficiency in the subject matter; while in the interactive mode of learning through chats - responsiveness was an issue. The study recommends that instructors should act as facilitators to help learners by guiding interactions or providing necessary support/scaffolding so that they receive a more productive experience of instruction from chatbots integrated under the ICAP framework. The proposed pedagogical model serves as quintessential counsel for policymakers and educationists who aim to augment language learning results across diverse educational settings.
Research on Social Integration and Path of Higher Education Graduates in Chinese Education System

Education is the cornerstone of national development and is also an important tool for the country. At present, China has turned to the stage of high-quality development, and building a high-quality education system is the strategic task of China's education reform. This paper mainly studies how to better improve the education system, and create a good social environment, so as to better train responsible young people in the new era and enable them to better integrate into the changing society, in order to promote the quality of economic and social development. Through literature analysis and review, the author investigates and analyzes the social integration of graduates in different types of education in China's higher education system from multiple dimensions. Path exploration is conducted from the aspects of social integration subject of lifelong learning and ability cultivation, from the aspects of social integration object of professional setting as well as social security, hoping to provide an effective path for further countermeasures. The conclusion of this paper is: we should pay attention to the cultivation of lifelong learning ability and comprehensive ability of higher education graduates, improve the professional setting and social security system of the main body of social integration, so as to promote better integration of higher education graduates into the changing society.
PENGEMBANGAN APLIKASI PEMILIHAN PROGRAM STUDI BAGI CALON MAHASISWA PADA SMA SWASTA MUHAMMADIYAH BENTENG

This research aims to develop an application for selecting academic programs through a series of steps, ranging from problem identification to system design and development. The application facilitates users in choosing a study program by considering factors such as the department, field of study, sub-field, and domain of knowledge. The front-end development leverages HTML5, CSS, and JavaScript, while the back-end is constructed using PHP and MySQLi, implementing the Forward Chaining method. System testing is conducted using Black Box testing, evaluating 5 predetermined scenarios, and the results demonstrate the smooth functionality of the system. The application is tested by 20 students from Muhammadiyah Selayar Private High School, with 6 coming from the Natural Sciences program and 14 from the Social Sciences program. In its implementation, students select study programs, and the outcomes reveal that Management Science and Economics are the most frequently chosen programs. This research has the potential to serve as a reference for readers interested in developing similar applications. Additionally, the concept of this application can be applied to Android-based development and adapted for various departments, including within vocational schools (SMKs).
Exploratory Factor Analysis: Validity and Reliability of Technology Self-Efficacy Instrument

This study intends to establish the validity and reliability of the instrument for assessing the notion of teacher’s technology self-efficacy. A quantitative method was employed in the cross-sectional survey research design with data from the pilot study collected from 100 secondary school teachers in Selangor, Malaysia. The samples were determined using a stratified random sampling approach. In this research, the teachers’ technology self-efficacy instrument was utilized to assess the self-efficacy of teachers in using technology and the Digital Educational Learning Initiatives Malaysia (DELIMa) 2.0 in their teaching practice. The number of components and factor loading values for each item in the technology self-efficacy construct were determined using the Exploratory Factor Analysis (EFA). The EFA findings show five components for the construct of teachers’ technology self-efficacy, each of which has an eigenvalue greater than 1.0. i.e, (based on ISTE-NETS standards) (1) Design & Develop Digital Age-Learning Experiences and Assessments, (2) Engage in Professional Growth and Leadership, (3) Promote and Model Digital Citizenship, (4) Model Digital-Age Work and Learning, (5) Engage in Professional Growth and Leadership. The reliability of component 1 is 0.942, of the component 2 is 0.932, of component 3 is 0.768, of component 4 is 0.842 and of component 5 is 0.682. The reliability for the overall construct of teachers’ technology self-efficacy was 0.931. The complete construct of teachers’ technology self-efficacy has met the criteria for construct validity and reliability. To sum up, other researchers can utilise the study’s measures to assess the notion of teachers’ technology self-efficacy in different circumstances.
DG_summ: A schema-driven approach for personalized summarizing heterogeneous data graphs

Advances in computing resources have enabled the processing of vast amounts of data. However, identifying trends in such data remains challenging for humans, especially in fields like medicine and social networks. These challenges make it difficult to process, analyze, and visualize the data. In this context, graph summarization has emerged as an effective framework aiming to facilitate the identification of structure and meaning in data. The problem of graph summarization has been studied in the literature and many approaches for static contexts are proposed to summarize the graph. These approaches provide a compressed version of the graph that removes many details while retaining its essential structure. However, they are computationally prohibitive and do not scale to large graphs in terms of both structure and content. Additionally, there is no framework providing summarization of mixed sources with the goal of creating a dynamic, syntactic, and semantic data summary. In this paper, our key contribution is focused on modeling data graphs, summarizing data from multiple sources using a schema-driven approach, and visualizing the graph summary version according to the needs of each user. We demonstrate this approach through a case study on the use of the E-health domain.