Reviewerly/exHarmony huggingface dataset:
ChatGPT-4 as a Tool for Reviewing Academic Books in Spanish

This study evaluates the potential of ChatGPT-4, an artificial intelligence language model developed by OpenAI, as an editing tool for Spanish literary and academic books. The need for efficient and accessible reviewing and editing processes in the publishing industry has driven the search for automated solutions. ChatGPT-4, being one of the most advanced language models, offers notable capabilities in text comprehension and generation. In this study, the features and capabilities of ChatGPT-4 are analyzed in terms of grammatical correction, stylistic coherence, and linguistic enrichment of texts in Spanish. Tests were conducted with 100 literary and academic texts, where the edits made by ChatGPT-4 were compared to those made by expert human reviewers and editors. The results show that while ChatGPT-4 is capable of making grammatical and orthographic corrections with high accuracy and in a very short time, it still faces challenges in areas such as context sensitivity, bibliometric analysis, deep contextual understanding, and interaction with visual content like graphs and tables. However, it is observed that collaboration between ChatGPT-4 and human reviewers and editors can be a promising strategy for improving efficiency without compromising quality. Furthermore, the authors consider that ChatGPT-4 represents a valuable tool in the editing process, but its use should be complementary to the work of human editors to ensure high-caliber editing in Spanish literary and academic books.
Ontology for Open Digital Educational Credentials: A Step Towards Decentralized Learning Paths

This manuscript presents the conceptualization and design of a decentralized ontology tailored specifically for educational credentials. Designed to act as a tool for structuring personalized learning paths, the ontology recognizes and responds to the current demand for a more integrated and holistic education system. In designing the ontology, we seek to ensure the interoperability of educational credentials from different systems and platforms. This integration is vital in an increasingly diverse and fragmented educational world. In addition, it seeks to enhance efficiency and trust by incorporating secure issuance and verification mechanisms in the proposal, making use of the inherent advantages of decentralized technologies, particularly Blockchain technology.
State-of-Art Research

In this chapter, we review state-of-the-art research related to WiFi signal-based user authentication. We first survey mainstream user authentication approaches. Then, we investigate WiFi signal sensing research, and further review the latest WiFi signal-based user authentication work. Finally, we give a summary of existing research.
Summary

In this chapter, we give a conclusion of this book and summary the contribution. Finally, we give our perspective of future research direction in techniques and application scenarios.
SR-POSE: A Novel Non-contact Real-time Rehabilitation Evaluation Method Using Lightweight technology

Rehabilitation movement assessment often requires patients to wear expensive and inconvenient sensors or optical markers. To address this issue, we propose a non-contact and real-time approach using a lightweight pose detection algorithm–Sports Rehabilitation-Pose(SR-Pose), and a depth camera for accurate assessment of rehabilitation movement. Our approach utilizes an E-Shufflenet network to extract underlying features of the target, a RLE-Decoder module to directly regress the coordinate values of 16 key points, and a Weight Fusion Unit (WFU) module to output optimal human posture detection results. By combining the detected human pose information with depth information, we accurately calculate the angle between each joint in three-dimensional space. Furthermore, we apply the DTW algorithm to solve the distance measurement and matching problem of video sequences with different lengths in rehabilitation evaluation tasks. Experimental results show that our method can detect human joint nodes with an average detection speed of 14.32ms and an average detection accuracy for pose of 91.2%, demonstrating its computational efficiency and effectiveness for practical application. Our proposed approach provides a low-cost and user-friendly alternative to traditional sensor-based methods, making it a promising solution for rehabilitation movement assessment.
UNDERSTANDING THE STRATEGIES EMPLOYED BY EFL LEARNERS TO OVERCOME SPEAKING ANXIETY IN THE CLASSROOM

This research study aims to investigate the strategies employed by English as a Foreign Language (EFL) learners to overcome speaking anxiety in the classroom. Speaking anxiety is a significant challenge faced by EFL learners, hindering their development of fluency and confidence in speaking. However, there is limited understanding of the specific strategies used by EFL learners to cope with and overcome this anxiety in the classroom context. This study adopts a qualitative research design, utilizing interviews and observations to gather in-depth data from EFL learners. The findings reveal a range of strategies employed by participants, including cognitive strategies (positive self-talk, visualization, and reframing anxious thoughts), preparation and practice, a supportive learning environment, gradual exposure and desensitization, and emotional regulation techniques. These strategies contribute to the effective management of speaking anxiety and the promotion of speaking proficiency among EFL learners. The insights from this study provide valuable implications for educators and practitioners, enabling the development of targeted interventions and instructional approaches to support EFL learners in managing their anxiety and enhancing their speaking skills. By addressing speaking anxiety effectively, language teaching and learning practices in the EFL context can be improved, fostering a positive and inclusive environment for EFL learners to develop their speaking abilities with confidence.
Distributed and Hash-Based Mixers for User Anonymity on Blockchain

Bitcoin, the first successful application of Blockchain Technology, took the world by storm when it was launched in 2008. It promised a peer-to-peer financial system without involving a third party. Since then, security and privacy have been two of the most marketed features of Blockchain technology and cryptocurrencies. Despite anonymity being one of the core features, several methods have been designed to infer a user’s identity on the Blockchain network. This study discusses the privacy concerns on a Blockchain regarding the anonymity of users and analyzes the existing methods to prevent the de-anonymization of users. The work also presents an improved mechanism to protect user anonymity on Blockchain using a hash-based approach. The simulation results demonstrate how a user can make a transaction to their desired destination from addresses unrelated to their own while simultaneously maintaining their anonymity on the network.
An Artificial Intelligence Framework for the Representation and Reuse of Cybersecurity Incident Resolution Knowledge

To manage cybersecurity incidents, organizations maintain an incident response team to mitigate the incidents and avoid the unavailability of services. Despite the need to generate fast and correct responses to these problems, only a few companies have ways of learning from past problem-solving experiences. This work proposes a knowledge-based cybersecurity incident response framework for this problem. The paper specifies the main tasks of a problem-solving method for the case-based management of cybersecurity incident resolution procedures. It shows that domain expert knowledge about incident problems and resolution routines are handled by Case-Based Reasoning (CBR) and Ontology techniques. The paper also details forms of categorizing such incidents to mapping reported and shared incidents to the framework. Different tests are developed using a system that implements the proposed framework to assess the impact of similarity-based knowledge in supporting the resolution of incident problems.
Unikernels Motivations, Benefits and Issues: A Multivocal Literature Review

While working in the cloud, the trend is to secure all the resources in order for the applications and systems to operate as efficiently as possible. Huge amounts of resources are wasted on unnecessary utilities and resource-consuming processes, which can rather have a negative effect. Unikernels are the last trend in this direction. We aim to shed light on the motivations, benefits, and issues in unikernels. Our goal is to systematically analyze what made this technology so attractive, identifying the benefits they have attained and the issues encountered in embracing this new technology. We surveyed academic and grey literature by means of the Multivocal Literature Review process, analyzing 590 sources, of which 62 reported motivations, benefits, and issues. The main motivations for adopting unikernels are performance and security, which are also reflected in the benefits reported. In terms of issues, the maturity of the existing frameworks as well as the tool support, are the main challenges that need to be addressed. Given the great potential that unikernels can bring in terms of performance and security, further research is needed to investigate the pros and cons, how to use them, and in which contexts they are beneficial.
Pengaruh Penerapan Sistem Informasi Akuntansi Dan Kualitas Sistem Informasi Akuntansi Terhadap Kinerja Pegawai Di PT Simatelex Batam

The purpose of this study is to ascertain how end match affects implementing SIA and the quality of SIA on employee performance. The information gathering strategy is an overview survey of 100 respondents. The method used is the Non Probability Sampling technique that is selected by Saturated Sampling (census), which is a sampling method when all members of the population are used as samples. The results of the hypothesis test, the value of tcount 5.861 &gt; ttable value of 1.666 and a substantial amount of 0.000 is less than the alpha value of 0.05, so that it can be finished that the SIA Implementation employee performance is significantly and directly impacted by this variable.. tcount value of 4.177 &gt; ttable value of 1.666 and a significant value of 0.000 is less than the alpha value of 0.05, so it can be concluded that the AIS quality variable has a direct and significant effect on employee performance. The calculated F value is and the sig value is 0.000 &lt; 0.05. 187.828 &gt; F Table 3.128, so the authors conclude that the SIA Implementation and SIA Quality have a significant or significant influence on Employee Performance.
Analisis Tren Topik Publikasi Ilmiah Dosen Jurusan Teknik Komputer Menggunakan Co-Words Analysis

One important factor in the development of science is through research in the relevant field. This was done to answer various problems and expand the scope of knowledge in this field of science. In Indonesia, seminars are conducted by both government and non-government institutions with the aim of being a forum for academics, practitioners, and researchers to re-correct the results of scientific articles in order to perfect these scientific articles. Previous bibliometric researchers more often studied papers, theses, dissertations and scientific journals. This is done to view usage, collection, obsolescence of information, knowledge mapping, etc. Based on the information above, the following is the background of this research, first, there is no scientific mapping to see trends in research topics, especially in scientific articles in the field of computer science, especially in the Computer Engineering and informatics department. Based on the formulation of the problem to be studied related to research topic trends and bibliometric studies of scientific articles in the proceedings in the field of computer science and information at seminars and conferences in Indonesia, a measuring instrument in the form of numbers will be used. The results of this study indicate that the trend of article research topics that are developing in the 2021-2023 period are data science and IoT, while the results of the citation analysis carried out show that the most widely used type of literature in writing scientific articles is journal literature (93.49%).
Development of Text Summarization Method based on Graph Theory and Malatya Centrality Algorithm

With the advancement of the internet, humanity has gained easy access to a plethora of information. However, to access accurate content, numerous texts and sources must be read. These texts often contain repetitive words and sentences. The abundance of information renders reading texts in their entirety inefficient in terms of time and makes finding suitable content challenging. To overcome these difficulties, various methods have been developed in research on automatic summarization. In the literature, there are numerous methods developed for different purposes in text summarization. Nevertheless, text summarization can generally be divided into two distinct categories: extractive and abstractive summarization. Abstractive algorithms tend to create new sentences by learning from the text. However, this approach prolongs the working process due to the learning phase and the generated sentences may not possess absolute accuracy. On the other hand, extractive methods, if unable to generate new sentences, have the ability to provide faster and completely accurate summaries by selecting sentences that already exist in the text. For these reasons, in our study, the aim is to perform text summarization using graph theory and the Malatya Centrality Algorithm. The Malatya Centrality Algorithm offers a polynomial approach to solving Vertex Cover Problems and is regarded as an effective solution method. It is believed that the Malatya Centrality Algorithm will contribute to graph-based text summarization. The implementation has been developed using the Python programming language, and the obtained results have been evaluated.
Implementation of Zachman Framework in Planning Enterprise Architecture at PT Karya Niaga Abadi

J&amp;T Express Indonesia is present as a shipping service company in the form of documents and packaging / goods. By relying on the IT system in their services, they get a lot of benefits from the service and the quality of the goods/goods. In this research method using the type of research is descriptive research with data collection methods in the form of interviews and interview techniques conducted by researchers to respondents who use J&amp;T Express services to obtain information about enterprise architecture in the J&amp;T Express company. The technique used in collecting data is by conducting interviews with respondents who use J&amp;T Express services and also making observations at the J&amp;T Express company. The next step is to design Enterprise Architecture using the Zachman Framework method. The results showed that the 4 frameworks in the Zachman Framework, namely scope, business model, system model, and technology model can improve the performance and efficiency of the company in planning, implementing, and maintaining information systems used in company operations.
Structured illumination contrast transfer function for high resolution quantitative phase imaging

We report a sub-diffraction resolution imaging of non-fluorescent samples through quantitative phase imaging. This is achieved through a novel application of structured illumination microscopy (SIM), a super-resolution imaging technique established primarily for fluorescence microscopy. Utilizing our contrast transfer function formalism with SIM, we extract the high spatial frequency components of the phase profile from the defocused intensity images, enabling the reconstruction of a quantitative phase image with a frequency spectrum that surpasses the diffraction limit imposed by the imaging system. Our approach offers several advantages including a deterministic, phase-unwrapping-free algorithm and an easily implementable, non-interferometric setup. We validate the proposed technique for high-resolution phase imaging through both simulation and experimental results, demonstrating a two-fold enhancement in resolution. A lateral resolution of 0.814 µm is achieved for the phase imaging of human cheek cells using a 0.42 NA objective lens and an illumination wavelength of 660 nm, highlighting the efficacy of our approach for high-resolution quantitative phase imaging.
A Survey on Recent Progress in Blockchain Technology

Blockchain technology has become one of the most successful and well-known topics in the past few years. Blockchain technology has already been transforming individuals in a wide range of ways. A few areas are directly affected. The functionalities of blockchain technology may provide more trustworthy and convenient solutions, however the security concerns and challenges associated with this innovative technique must also be considered. As a result, this paper attempts to review recent progress in blockchain technology. Moreover, we investigated the various blockchain applications, as well as emphasised and investigated future directions of research as well as complexities.
Testing English for Medical Purposes: the effects of traditional and distance education on learning outcomes

Abstract The COVID-19 pandemic brought about new cultural and social phenomena that changed social interaction and communication. In this new situation, teachers teaching English for Medical Purposes (EMP) at the Jessenius Faculty of Medicine of Comenius University in Martin (JFM) had to adapt the courses to the educational needs of the students. This study explores the effects of traditional and distance education on learning outcomes in advanced English learners during three academic years. The sample consisted of 346 students. Three groups (G1, G2, G3) of first-year students attended online as well as face-to-face English courses and took EMP exams at the end of each summer semester. The test results were compared and evaluated. The methods of EMP teaching and testing were different in each group. G1 attended asynchronous online classes, G2 participated in synchronous online classes conducted in real-time, and finally, G3 participated in traditional classes. G1, G2 took online tests, and G3 took a pen-and-paper test. The questionnaire revealed that students appreciated the self-organization of study during online classes, but most criticized the lack of face-to-face communication, the classroom atmosphere, and technical difficulties during online teaching. Students participating in traditional classes missed their own time management and appreciated discussion in the classroom as well as teachers’ feedback on EMP performance.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double anonymous • Conference submission management system: Morressier • Number of submissions received: 38 • Number of submissions sent for review: 30 • Number of submissions accepted: 18 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 47.4% • Average number of reviews per paper: 2.05 • Total number of reviewers involved: 27 • Contact person for queries: Name: Elaine Jiang Affiliation: Research Center for Stochastic Configuration Machines (SCM), China Email: iceopconf@163.com
Enhancing employee performance through compensation management in the manufacturing industry

The study examined the effect of Compensation Management on employee performance in the Manufacturing Industry, specifically with a focus on Flight Aluminium Plc in Asaba Delta State, Nigeria. The specific objective of the study is to ascertain two measures of Compensation Management namely; Salary (SLY), and Benefits Programmes (BP), and how they affect employee performance in the Manufacturing Industry. The study employed a descriptive survey research design. The sample size is 75 respondents, this was determined using the purposive sampling technique. The study made use of the Likert scale of point 5 is used for the closed-ended questions to draw responses from the respondents. A total of seventy-five (75) questionnaires were administered by staff of Flight Aluminium Plc in Asaba, Delta State. Out of the seventy-five (75) questionnaires, (73)97.33% were retrieved and properly filled while two (2)2.67% were not returned. Thus, the sample to be used for the study was used in the range of seventy-three (73) respondents. Data presented and analysed in this study is dichotomized into three parts. First is the data presentation which comprises the descriptive analysis of the respondent's profile using simple weighted percentages, Second, the descriptive statistics of data obtained from the questionnaire using minimum, maximum, mean, and standard deviation the Pearson correlation analysis would be used as a basis of testing the hypothesis. The findings revealed that both independent variables (Salary (SLY) and Benefits Programmes (BP), have a significant relationship with employee performance in the Manufacturing Industry. The study recommended that the company should continue providing security benefits to all employees, their position notwithstanding as it will positively influence employee productivity and raise overall performance in the manufacturing sector.
The Study of Intellectual and Leadership Qualities in Their Relationship among Students

Introduction. The article presents the results of a study of the problem of the emotional intelligence and empathy of university students. An analysis of theoretical approaches to this problem in domestic and foreign psychology is carried out. The results of an empirical study conducted among students of the Faculty of Law of the Synergy University are described, during which the features of the relationship between their intellectual and leadership qualities are revealed. Statistically significant differences in the level of development of intellectual and leadership qualities were revealed. We have set the following tasks: 1) on the basis of a theoretical analysis of scientific literature, to reveal the essence of the concepts of “leadership” and “intelligence”; 2) to explore the intellectual and leadership qualities of students in their relationship. Materials and Methods: analysis of scientific literature; observation; psychodiagnostic methods (tests, conversation); experimental methods; mathematical and statistical methods (Spearman’s rank correlation method). Results. The results of the study related to the identification of the relationship between intellectual and leadership qualities among students are presented. Discussion and Conclusion. The relationship between the intellectual and leadership qualities of students was revealed.
Guidelines for Playful Learning Design in VR/AR: Insights from Student Productions

The paper presents three perspectives on virtual reality (VR) and augmented reality (AR) as educational technology: one on the learning attributes of VR and AR, the second on practical issues and problems, and the third on learning design guidelines. The perspectives are explained through text, tables, and examples from engineering students' productions. The paper will be of interest to students, designers, and researchers of VR and AR for training and learning.