Reviewerly/exHarmony huggingface dataset:
The Incipits of Semi-Popular Articles about Language Learning

This study aims to identify the type of organization incipit used and analyze the language features of organization incipit in semi-popular science article. This research was conducted by using qualitative methods and employs a corpus-driven analysis approach. The approaches are conducted by adopting Hyland’s framework of proximity, specifically the organization facet of incipits position. After analyzing the data, the study found incipits in the semi-popular article can be broadly categorized into 5 categories and the most used category is ‘research finding’, followed by ‘establishment of a common ground’, then ‘contextualization of the article’, after that is ‘research problem’ category, and the least identified category is ‘benefit of the finding’. This study also found language feature of each category, like word frequency, concordance, and content organization is the one that identifies each category from the other.
Conversation Analysis: Turn-Taking Analysis in Variety’s Actors on Actors Conversation Video featuring Zendaya and Andrew Garfield

This study is proposed to analyze conversation analysis, especially for turn-taking strategy in a video of Actors on Actors Conversation by Variety featuring Zendaya and Andrew Garfield. This study used a qualitative method with Stenstrom’s framework to analyze the turn-taking strategy used in the conversation. The process of analysis consists of four steps; streaming Variety’s Actors on Actors Conversation video featuring Zendaya and Andrew Garfield, transcribing the conversation, classifying the data, and interpreting the data. The result of this study showed that turn-taking strategies appear in the conversation. There were starting up, promoting, interrupting, repeating words, taking over, overlapping, appealing, silent pauses, and filled pauses. The most frequent turn-taking strategy used is the overlapping strategy. Therefore, this study suggests that conversation analysis is important for understanding the intent of people's speech. In addition, this study can be used as a reflection on both theoretical and practical contributions. In theory, this study supports the theory of conversation analysis in turn-taking strategies. In fact, teachers can use it as a reference for applied linguistics courses.
New Proposed Mixed Transforms: CAW and FAW and Their Application in Medical Image Classification

The transformation model plays a vital role in medical image processing. This paper proposed new two Mixed Transforms models that are the hybrid combination of linear and nonlinear Transformations techniques. The first mixed transform is computed in three steps: calculate 2D discrete cosine transform (DCT) of the image, and applying Arnold Transform (AT) on the DCT coefficients, and applying the discrete Wavelet Transform (DWT) on the result to get which was abbreviated as (CAW). The second mixed transform consists of firstly computing the discrete Fourier transform (DFT), net applying the Arnold Transform (AT), and finally, the computation of discrete Wavelet Transform (DWT) which was abbreviated as (FAW). These transforms have superior directional representations as compared to other multiresolution representations such as DWT or DCT and work as non-adaptive mixed transformations for multi-scale object analysis. Due to their relationship to the wavelet idea, they are finding increasing use in areas like image processing and scientific computing. These transforms are tested in medical image classification task and their performances are compared with that of the traditional transforms. CAW and FAW transforms are used in the feature extraction stage of a classification VGG16 deep learning (DNN) task of Tumor MRI medical image. The numerical findings favor CAW and FAW over the wavelet transform for estimating and classifying pictures. From the results obtained it was shown that the CAW and FAW transform gave e much higher classification rate than that achieved with the traditional transforms, namely DCT, DFT and DWT. Furthermore, this combination leads to a family of directional and multi-transformation bases for image processing.
Web 2 vs. Web 3 Paths to the Metaverse: Who Is Leading? Who Should Lead?

Our research investigates two questions: Who is leading the metaverse? Who should lead? The questions are important because metaverse will have significant consequences for individuals, businesses, and society. We examined the current leaders of metaverse on two evolutionary paths, namely Web 2 and Web 3. Based on regulatory reports, corporate press releases, and patents, we found that only a handful of Web 2 companies are “all-in” on metaverse, and at least one of these enterprises, Meta, is on track to end up as a dominant platform provider. Based on market capitalization, user activity, and patents, only a handful of Web 3 communities are emerging. Despite the hype, we are still in the early days for metaverse on both evolutionary paths. As far as who should lead, we advocate for Web 3 because it benefits more users, content creators, and businesses. However, the future of metaverse is not deterministic and it will emerge from the choices we make today. We offer recommendations on how scholars and companies can support the Web 3 path to the metaverse.
The Incorporation of the 4C Skills in the Lesson Plans of Grade Eight

This research aimed to investigate the incorporation of the 4C skills in the lesson plans and to analyze how the 4C skills were implemented into the lesson plans of English for grade eight. The data for this qualitative content analysis research was gathered by analyzing ten lesson plans for grade eight of junior high school in Bekasi and Jakarta. The research found that all the lesson plans included all the 4C skills, which comprised 51% of communication skills, 69% of collaboration, 61% of critical thinking, and 69% of creativity. As the most widely incorporated, collaboration and creativity were found in learning and assessment activities. These findings are expected to be a recommendation for scholars, especially English teachers in designing lesson plans that meet 21st-century skill needs.
Discourse Analysis of a News Text Using Cohesion and Ethnography of Speaking Theories

The purpose of this study was to undertake a thorough study of a news article entitled "31 Policemen Questioned in Kanjuruhan Stadium Tragedy" by looking at both its contextual and textual elements. To analyze the data, the research used a content analysis and discourse analysis design. While the contextual study relied on Dell Hymes' ethnography of communication, notably the Speaking Model (Hymes, 1974), the textual analysis concentrated on the coherence devices given by Halliday and Hasan (1976). All essential elements, such as the setting, participants, ends, act order, key, instruments, and norms, were identified, according to the contextual analysis. The four content categories of reference, substitution, ellipsis, and conjunction were found in the textual analysis; however, the article did not fully contain all sub-categories.
Measurement Technology for a New Revolution

Here describes a measurement technology solution that looks to address the needs of quantum computing
VR: A Key Enabler of the Metaverse

While the metaverse promises an immersive, dynamic 3D space Virtual and Augmented Reality will provide some of the key building blocks for its successful delivery. NEIL TYLER reports
TOURISM AND HOSPITALITY EDUTAINMENT: A QUALITATIVE STUDY OF STUDENTS’ PERSPECTIVES ON INTEGRATING VIRTUAL REALITY INTO EDUCATION

This research aims to investigate the perceptions and experiences of tourism and hospitality students, focusing on the use and impact of virtual reality (VR) technology in their educational settings. In addition, this study aims to uncover factors influencing the adoption of VR technology and its potential benefits in tourism and hospitality education. Integrating VR technology in tourism and hospitality education has garnered attention as a promising tool for enhancing skills and knowledge acquisition. However, the adoption of VR technology is still a relatively new experience for students in this field, and there is a need for further research on their perceptions of this innovative approach. This qualitative study employed a thematic analysis to explore the perspectives of tourism and hospitality students from two public Saudi Arabian universities on integrating VR into their education. Analysis revealed four themes related to VR integration in the classroom: compelling, inventive, knowledge contribution, and obstacles to realization. These themes highlighted the benefits and challenges of adopting VR technology in universities. Students anticipated that VR would complement current teaching and learning methods, enhance confidence, and provide a safe and enjoyable environment for problem-solving. However, the cost of technology was cited as a significant barrier to integrating VR into tourism and hospitality education, emphasizing the need for constant face-to-face feedback. The results of this study allow us to conclude that the integration of VR can promote learning, supplement current educational methodologies, and provide tourism and hospitality educators with innovative and engaging means of delivering knowledge. These findings have important implications for the future development of VR technology in tourism and hospitality education and highlight the need for further research on the pedagogical benefits and challenges associated with its use in this field. Keywords : Virtual Reality, Tourism, Hospitality, Edutainment, Saudi Arabia DOI： https://doi.org/10.35741/issn.0258-2724.58.4.80
The Alignment of Interpersonal Text Language Functions in Podcasts with the Standard Competence of English Language for Junior High School

This study aims to analyze the alignment of the interpersonal text language functions that occurred in podcasts with the standard competence of the 2013 curriculum to teach interpersonal texts for Junior High School. This research is a descriptive qualitative study using the content analysis method. The study is based on KI (Kompetensi Inti)/KD (Kompetensi Dasar) in Kurikulum 2013 proposed by the Indonesian Ministry of Education and Culture (2018) as the analysis framework to analyze the type of language function and expressions of interpersonal text used in the 15 podcasts. The result shows that all 15 podcasts provide 18 out of 21 language functions required in the standard competence of Interpersonal texts at the Junior High level. The language functions occurring in all podcasts cover Greeting, Leavetaking, Extending Invitations, Expressing Gratitude, Complimenting, Asking for Attention, Asking for Opinions, Expressing Opinions, and so on. It means the podcasts fulfilled 85,7% of the standard competence and can be used as teaching materials to teach interpersonal text for Junior High School students.
Students’ Interest in Learning English through YouTube (A Case Study in Senior High School of Sekolah Alam Cikeas Bogor)

Technology advancement, including YouTube, enables various media easily integrated into the teaching and learning process and supports the students’ digital media literacy. However, in the implementation, some teachers find difficulties in engaging the students’ interest in using YouTube to support the teaching and learning process. This study was conducted to investigate why YouTube is considered the prominent media in Sekolah Alam Cikeas to engage students’ interest in English learning. A case study was used to analyze the phenomenon while questionnaires and interviews were used in collecting the data. Likert scale was used to analyze the data by using 5 aspects. The result illustrated Strongly Agree as the dominant answer from students. YouTube can help them in learning English and it plays a useful and meaningful role in the learning process. Most of the students agree that the usage of YouTube in the classroom is appropriate and can engage students’ interest in learning English in the classroom. Besides, YouTube also can help students to train in digital media literacy. Thus, YouTube is one of the media that supports students’ interest to engage in the learning process.
The Incorporation of Digital Literacy in EFL Learning Materials for Senior High School Students

Digital literacy is an important ability to have to succeed in today's era where almost everything is surrounded by digital technologies, tools, services, and so on. This study aims to investigate to what extent digital literacy is incorporated in EFL learning materials for senior high school students, and to describe how digital literacy is incorporated in EFL learning materials. This qualitative study uses content analyses in analyzing the 36 learning materials that have been collected from 4 different public senior high schools in the East Jakarta area from 4 different teachers. This present study found that digital literacy is not yet maximally incorporated into the learning materials. Out of 36 English learning materials, only 16 English learning materials seem to be incorporated with digital literacy indicators, while some others didn't even incorporate digital literacy at all. Digital literacy in learning materials is incorporated in many ways; instruction (43 occurrences), task (31 occurrences), text (8 occurrences), and last is the provision of links (3 occurrences).
Eighth Graders’ Communication Strategies in English Classroom Activities at SMP Negeri 3 Kalibening

This study aimed to investigate the eighth graders’ communication strategies in English classroom activities at SMP Negeri 3 Kalibening. This research conducted a qualitative approach with a descriptive method. The observational data were collected by using a video and audio recorder, observational sheet, and triangulated by structured interview. The data analysis procedures consisted of data reduction, data display, and conclusion drawing and verification by Miles &amp; Huberman’s (1994) framework. The Communication Strategies (CSs) taxonomy proposed by Celce-Murcia et al. (1995) was used as references to identify and classify types of CSs. The analysis revealed that the learners employed 5 types of CSs: avoidance or reduction strategy, achievement or compensatory strategy, stalling or time gaining strategy, self-monitoring strategy, and interactional strategy, with 11 sub-types of those categories in classroom discussion, group discussion, and group presentation activities. The findings also showed that the learners employed CSs to compensate for their linguistics problems and keep the communication going while participating in English classroom activities. This research made a valuable contribution in introducing communication strategies and increasing students' awareness to use English in real-life situations.
Applications of Artificial Intelligence in Emergency Department to Improve Wait Time: An Integrative Living Review Protocol (Preprint)

<sec> <title>BACKGROUND</title> Long emergency department (ED) wait times are a major issue for healthcare systems all over the world. The application of artificial intelligence (AI) is a novel strategy to reduce ED wait times when compared to the interventions included in previous research endeavors. To date, comprehensive systematic reviews that include studies involving AI applications in the context of EDs covered a wide range of AI implementation issues. However, the lack of an iterative update strategy limits the utility of these reviews. Since the subject of AI development is cutting-edge and is continuously changing, reviews in this area must be frequently updated to remain relevant. </sec> <sec> <title>OBJECTIVE</title> To provide a summary of the evidence that is currently available regarding how AI can affect ED wait times, discuss the applications of AI in improving wait times, and periodically assess the depth, breadth, and quality of the evidence for supporting the application of AI in reducing ED wait times. </sec> <sec> <title>METHODS</title> We plan to conduct a Living Systematic Reviews (LSRs). Our strategy involves conducting continuous monitoring of evidence, with biannual search updates and annual review updates. Upon completing the initial round of the review, we will refine the search strategy and establish clear schedules for updating the LSR. An interpretive synthesis utilizing Whittemore and Knafl's framework will be performed for compiling and summarising the findings. The review will be carried out using an integrated knowledge translation strategy, and knowledge users will be involved at all stages of the review to guarantee applicability, usability, and clarity of purpose. </sec> <sec> <title>RESULTS</title> The implementation will happen between September 2023 and March 2024, after which the results will be assessed. It is projected that the data analysis and manuscript writing will be finished in the summer of 2024. </sec> <sec> <title>CONCLUSIONS</title> The LSR enables researchers to maintain high methodological rigor while enhancing the timeliness, applicability, and value of the review. </sec>
Possibilities of Sale Forecasting of Textile Products with a Short Life Cycle

Almost 115 million tons of fibers of which almost 90 million tons of chemical fibers were produced in the world in 2021, which are mainly used for the production of clothing and footwear. 30% of textile and apparel products are never sold, which means an extreme waste production. This article points out the possibilities of forecasting the sales of clothing in the case of one relatively large online store. Inadequate stocks of textile products in the company lead to loss and the need to sell products at a discount, which is undesirable for the company. The study in this article points to the calculation of the sales forecast for 2019 for the selected textile products, finding the analogy of the followed product sale. Sales for the years 2017 and 2018 serve as input data. The problem with textile products is that they have a short life cycle, i.e. the length of the life cycle is approximately half a year, and a high seasonality is also presented there. Therefore, the seasonal indices and Holt-Winters methods (multiplication and additional approaches) were used for products forecasting. Ultimately, this model could contribute to reducing the loss of unsold goods and thus reduce the waste of resources and increase the use of goods in other similar companies.
Corrections to “Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing” [Mar 23 257-269]

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Preparing for the New NIH Data Management and Sharing Policy

The Taubman Health Sciences Library (THSL) at the University of Michigan established the Research Data Core Team (Data Team) to raise awareness and educate people about the new Data Management &amp; Sharing Policy released by the National Institutes of Health (NIH). This was accomplished with an initial outreach phase, followed by an engagement phase.Outreach was launched by updating a LibGuide with information about the new policy, creating a slide for digital screens, and producing a short video. For the engagement phase, a presentation was created to review the policy’s main points, emphasizing that a Data Management and Sharing (DMS) Plan needed to be included in grant applications.Throughout the Fall 2022 and Winter 2023 semesters, the Data Team facilitated eight presentations, two workshops, and two office hours. Increased LibGuide views peaked at 1,873 in January. The Data Team anticipates continuing outreach and engagement after seeing how the NIH responds to the first DMS Plans.
TrinitySec: Trinity-Enabled and Lightweight Security Framework for CAN-FD Communication

Controller Area Network with Flexible Data-rate (CAN-FD) is a promising industrial embedded network because of its high bandwidth and long data field length. However, CAN-FD does not deploy any security protection mechanisms, leaving it vulnerable to network attacks. In recent years, authentication and authorization frameworks have often been deployed in industrial embedded networks (e.g., automotive networks) to provide secure CAN/CAN-FD communication. However, these frameworks cannot simultaneously enhance confidentiality, integrity, and availability; moreover, these frameworks are mainly based on a distributed security management mechanism, resulting in large computation, communication, and memory overhead. This paper proposes a trinity-enabled and lightweight security framework called TrinitySec based on cryptographic algorithms for CAN-FD communication. TrinitySec ensures the availability of ECU and CAN-FD messages through authentication and authorization, as well as the confidentiality and integrity of CAN-FD messages through a symmetric-key algorithm and Hash-based Message Authentication Code (HMAC) function. TrinitySec proposes a low-overhead centralized security management mechanism instead of the existing distributed management mechanism. We formally verify the security of TrinitySec using the ProVerif tool. We implement TrinitySec on STM32H743IIT Micro Controller Unit (MCU) with ARM Cortex M7 core and evaluate that TrinitySec outperforms other state-of-the-art security frameworks in terms of computation, communication, memory, and storage overhead.
Zero-point Energy Conundrum for Spin 1 Particles

The zero-point energy concept results in an infinite energy that has not yet been fully resolved. This paper reviews the zero-point energy for spin 1 particles utilizing the Proca equation. The need for the zero-point energy is confirmed in Santilli's synthesis of the neutron from the proton and the electron in the core of a star. A possible resolution lies in establishing a cutoff energy (e.g., at the Planck scale) that negates the singularity. This singularity is avoided by establishing a restricted energy region that precludes exceeding the cutoff energy scale except under extreme circumstances (e.g., during a big bang/big crunch event). Potential energy functions, analogous to the Higgs potential or the short range hard core nuclear interaction, are introduced as possible mechanisms to establish the cutoff energy.
The Impact of Haptic Mental Imagery Induced by Virtual Reality Interactivity on Dual Shopping Values

Background/Objectives: This study investigated the factors that drive the dual shopping values of consumers in virtual reality (VR) fashion store environments, focusing on the role of haptic mental imagery as a mental simulation. It examined how perceived interactivity can enhance haptic mental imagery and increase the vividness of overall mental images, ultimately leading to an increased evaluation of utilitarian and hedonic shopping values. Methods: A professional research company recruited 330 participants in their 20s and 30s. Participants experienced a VR fashion store to browse items they were interested in purchasing, after which they responded to questionnaires online. A total of 319 responses were used for further analysis. Structural equation modeling (SEM) with AMOS 23.0 was employed to test the hypotheses and multi-group comparisons. Results: Interactivity increased the participants’ haptic mental imagery and the vividness of their overall mental images. Haptic mental imagery helped enhance perceived imagery vividness. Both imagery-related variables had positive effects on the two shopping values. Differences in shopping orientation and gender were also observed in the relations among variables. Conclusion/Implications: This research provides insights into the impact of interactivity and the role of haptic mental imagery and vivid imagery in shaping VR store consumers’ shopping values.