Reviewerly/exHarmony huggingface dataset:
STUDENTS’ PROBLEMS IN MASTERING SPEAKING SKILL FACED BY THE XI GRADE STUDENTS AT MA INTEGRAL HIDAYATULLAH MANOKWARI

This research aimed to investigate the students’ problem in mastering speaking skills, and the cause of that problem. This research was carried out at MA Integral Hidayatullah Manokwari. This research used qualitative approach with a descriptive analysis method. 28 students of MA Integral Hidayatullah Manokwari were interviewed and fill the questionnaire to determine their experience in speaking class. The result showed that students have lack of vocabulary (96%), Pronunciation 74%, lack of grammar 70%, lack of fluency (96%). Meanwhile, the cause of students’ speaking problems were lack of confidence, fear of making mistake, anxious, shyness, and lack of motivation.
The Multisensory Book Design: A Learning Medium for Dyslexic Children Reading the Qur'an Through Reflection on Concrete Objects

A dyslexic child experiences a common obstacle in the learning process due to having difficulty reading and recognizing letters (corrective and remedial readers). If left unchecked, the potential of dyslexic children will be hampered because reading is a basic human ability. Therefore, in this study, researchers designed a learning media design that makes it easier for dyslexic children to recognize hijaiyah letters. The research method used is R&amp;D using the ADDIE development model. The study that the researchers conducted was limited to the development of design, so the purpose of this study was to provide an overview of the design of multisensory mirror book media. The design is developed with a printed book-based that will maximize the function of the senses of sight and touch. Dyslexic children will be invited to learn while playing by reflecting hijaiyah letters on concrete objects found in everyday life. In their learning, they were also invited to play by attaching glitter to hijaiyah stickers and then touching them. His motor function was tested by rewriting hijaiyah letters and then checking the correctness of the writing using a mirror. In the future, the design developed by researchers can continue to be refined to help dyslexic children learn hijaiyah letters to make it easier and more fun.
A New Logic, A New Information Measure, and A New Information-Based Approach to Interpreting Quantum Mechanics

The new logic of partitions is dual to the usual Boolean logic of subsets (usually presented only in the special case to the logic of propositions) in the sense that partitions and subsets are category-theoretic duals. The new information measure of logical entropy is just the normalized quantitative version of partitions. The new approach to interpreting quantum mechanics (QM) is showing that the mathematics (not the physics) of QM is the Hilbert space version of the mathematics of partitions. Or putting it the other way around, the math of partitions is a skeletal version of the math of QM. The key concepts throughout this progression from logic to information theory to quantum theory are distinctions versus indistinctions, definiteness versus indefiniteness, or distinguishability versus indistinguishability. The distinctions of a partitions are the ordered pairs of elements from the underlying set that are in different blocks of the partition. Logical entropy is defined (initially) as the normalized number of distinctions. The cognate notions of definiteness and distinguishability run through the math of QM, e.g., in the key non-classical notion of superposition (= ontic indefiniteness) and in the Feynman rules for adding amplitudes (indistinguishable alternatives) versus adding probabilities (distinguishable alternatives).
Approach to determining significance and result of consistency of the interests of the higher education organizations’ stakeholders

Organizations of higher education cannot only rely on education and science as missions in isolation from their alignment with the specific needs of the environment and the formation of a programmable contribution to the development of society. The socio-economic mission of an educational organization is gaining importance. Interaction with a range of stakeholders for the university should have an effect significant at the level of issues of support for the development and security of the region, take into account the goals and values of interaction in the scientific and educational process. The article actualizes the block of university parameters in ensuring the socio-economic development of the region by the example of promoting the employment of graduates, presents a model for the formation and implementation of an interaction program aimed at strategically promoting the employment of graduates to vacant positions of regional employers, thus preserving graduates in the region, presents an approach to determining the integral result of the coherence of the interests of stakeholders within the framework of programs.
Natural Language Processing for Analyzing Online Customer Reviews: A Survey, Taxonomy, and Open Research Challenges

In recent years, e-commerce platforms have replaced conventional marketplaces. People are fast adopting online shopping since they can purchase from home. Online review sites allow customers to share their thoughts on products and services. Customers and businesses are increasingly relying on online reviews to assess and improve the quality of products. Existing literature uses Natural language processing (NLP) to analyze customer reviews for different applications. Due to the growing importance of NLP for online customer evaluations, this study attempts to provide a taxonomy of NLP applications based on existing literature. This study also examined emerging methods, data sources, and research challenges. This study covers 154 publications from 2013 to 2023 that explore state-of-the-art approaches for diverse applications. Based on existing research, the taxonomy of applications divides literature into five categories: sentiment analysis, review analysis, customer feedback and satisfaction, user profiling, and marketing and reputation management. It is interesting to note that the bulk of existing research relies on Amazon user reviews. Additionally, recent research has stressed the use of advanced techniques like Bidirectional Encoder Representations from Transformers (BERT), Long Short-Term Memory (LSTM), and ensemble classifiers. The rising number of articles published each year indicates researchers&amp;#039; expanding interest and the field&amp;#039;s continued growth. This survey additionally addresses open issues, providing future directions in online customer review analysis.
Can Virtual Reality (VR) enhance students’ learning experience?

Immunology is a fascinating yet complex subject area to teach undergraduate students, mostly due to the vast specialised vocabulary and complex processes associated with the topic. One solution to this challenge is to embrace innovative digital technologies such as Virtual Reality (VR), which immerses users in an interactive environment and encourages them to actively participate in their own learning. This alternative teaching model also creates an inclusive learning environment, allowing students to learn at their own pace, aiding their comprehension of the material. Here we describe the development and implementation of a novel VR simulation at the University of Glasgow. The bespoke ‘Battling Infection’ VR simulation takes place inside the human body: students visit different anatomical sites in their quest to eradicate an infection caused by the bacterium Salmonella, interacting with and choosing the appropriate immune cells to do so. We explored how this innovative resource could support medical and life sciences students with their understanding of immunity to infection. Following the interactive VR session, students completed a voluntary questionnaire to enable us to determine the impact this digital tool had on their learning experience. Most students surveyed agreed the VR simulation enhanced their understanding of the topic and helped them to visualise the complex processes of host immunity. Some participants commented on the discomfort of the headset and others suffered motion sickness, issues commonly reported within VR technology. Overall, this study found that the VR simulation was an innovative model of educational delivery which enhances the student learning experience and helped students to conceptualise complex information. Future work will focus on student knowledge retention using this method of teaching, in addition to developing further resources to supplement the VR simulation and exploring immune responses to other pathogens.
The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

This paper explores the dynamic intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection. Employing a systematic literature review, we analyze recent advancements and challenges in AI-IoT integration. The paper highlights key developments in sensor data anomaly detection, AI-driven big-data analytics, and IoT-based communication techniques. It delves into the complexities of privacy protection in IoT, examining innovative solutions like federated learning and blockchain technologies. The study also addresses the challenges in AI for IoT, prioritizing the most pressing issues such as data security, ethical implementation, and compliance with regulations like GDPR. The research underscores the need for adaptable solutions that balance technological advancements with privacy and security considerations, setting a path for future exploration in AI-empowered IoT applications.
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 : 130 • Number of submissions sent for review : 123 • Number of submissions accepted : 100 • Acceptance Rate (Submissions Accepted / Submissions Received × 100) : 76.9 • Average number of reviews per paper : 1.08 • Total number of reviewers involved : 57 • Contact person for queries : Name : Dr. Rika Indri Astuti Email : rikaindriastuti@apps.ipb.ac.id Affiliation : Department of Biology, Faculty of Mathematics and Natural Sciences, IPB University
Information System Management for Student Discipline Based on the Attitude Record Application in an Elementary School

This study examined the evolution of Management Information Systems (MIS) within the context of industry 4.0 era, specifically emphasizing student discipline management. The research aimed to implement the "Attitude Record" application at the Islamic Elementary School (SDI) Al Amanah in Bandung Regency, serving as a foundational database for student discipline management. The research methodology employed in this study was the school-based action research method. The research outcomes affirmed that the application of management through the "Attitude Record" application within the framework of the student discipline information system at SDI Al Amanah enabled administrators to select actions under students’ conditions. The procedural steps taken in this school-based action research had yielded substantive alterations in the arrangement and monitoring of student conduct while yielding significant effects on the educational ambience within the institution. In a comprehensive context, the discipline management founded upon the information furnished by the "Attitude Record" application had substantial contribution by enhancing oversight, reporting, and handling student disciplinary infractions. This approach extended beyond mere reliance on students' attendance criteria or advancements in specific subjects. Instead, it encompassed a comprehensive view of student behavior, enabling administrators to adopt an informed and sensitive approach to individual student contexts. Discipline management based on information provided by the "Attitude Record" application had significantly contributed to enhancing supervision, reporting, and addressing student disciplinary violations. This approach avoided limiting itself to student attendance or specific subject areas improvements. Instead, it offered a more holistic perspective on student behavior, enriching the disciplinary framework
Digital Literacy Learning Management Innovation at State Vocational Schools in Manado City

This article aims to describe innovations in digital literacy learning management for students at State Vocational Schools in Manado City. This research is a qualitative research in which the data collection process is carried out through interviews, observation and documentation. From the research conducted, it is known that SMK schools in Manado City innovate in 3 ways, namely: Changing the teacher's paradigm of conventional education towards modern education with education and training activities and educational seminars and through improving academic qualifications, secondly Providing digital literacy skills to teachers, education staff and students through digital literacy workshops and training activities related to the use of the latest learning and learning media and technology and the third is by providing facilities and infrastructure that can be utilized by students, teachers and education staff to support digital literacy activities in the school environment. This method is considered appropriate and quite successful in encouraging all components of the school to learn and improve their respective human resources regarding digital literacy.
Pengembangan Media Pembelajaran Flipbook Digital Fisika Untuk Siswa Kelas X pada Materi Usaha dan Energi SMA Negeri 1 Matan Hilir Utara

This study aims to determine: (1) the feasibility of digital physics flipbook media for class X students on work and energy at SMA Negeri 1 Matan Hilir Utara according to material experts, (2) the feasibility of digital physics flipbook media for class X students on work and energy. According to media experts, SMA Negeri 1 Matan Hilir Utara, and (3) student responses after being given a physical flipbook learning media for class X students in the work and energy of SMA Negeri 1 Matan Hilir Utara. This type of research is Research &amp; Development (R&amp;D) research with the model used is the ADDIE model. The test subjects in this study were students of class X SMA Negeri 1 Matan Hilir Utara with a total of 20 students. With the results of the trials carried out, it was found that: (1) the feasibility of digital flipbook learning media according to material experts received very decent criteria, with an average score of 80%, (2) the feasibility of digital flipbook learning media according to media experts received decent criteria, with an average an average score of 75%, (3) the results of field trials on digital flipbook learning media for work and energy by distributing student response questionnaires. The average percentage score obtained by this digital flipbook learning media is 88%, which means that the student response interpretation criteria are included in the criteria for strongly agree. Kata Kunci: Learning Media, Digital Flipbook, work and energy
An Analysis on Dialogues in Korean Textbooksfrom the Pragmatic Perspective - Focusing on Adjacency Pairs -

This study analyzed Korean textbooks from a pragmatic perspective to identify different aspects and orientations of pragmatic education. We analyzed 34 volumes of Korean textbooks classified into 5 types to explore the patterns of adjacency pairs and response structures in textbook dialogues. Additionally, we discussed the directions and areas of improvement regarding the dialogues and found the following: First, the adjacency pair types occurring in the dialogues mainly consisted of the question-and-answer type; Second, it was determined that the preferred structure appeared more than the dispreferred structure after confirming the realization pattern of the response structure; Third, many cases did not provide responses when the preceding speech involved a show of gratitude, requests, or suggestions; Fourth, several instances of unnatural conversations, lacking authenticity in terms of role alternation of conversation participants and conversation structure, were identified; And fifth, dialogues reflecting linguistic and cultural specificity of Korea, incorporating speech act strategies, were explored. The results are expected to contribute to the development of textbooks to enhance Korean learners’ pragmatic competence.
Research on the Current Status and Needs of Korean Language Learners for Korean Literature Courses in Chinese University

The objective of this study is to identify the current status of <Korean Literature> classes offered by departments of Korean language at Chinese universities and conduct a demand survey for literature classes among learners and instructors to identify problems in literature classes. In this way, we aim to suggest a direction for literature classes to make them more effective as well as to explore teaching methods. For this reason, we first looked at the Korean literature textbooks published and used in China. We analyzed 342 literary works published in a total of nine volumes of literature textbooks and extracted a total of 18 works with cultural items, taking into account the ratio of authors and ancient and modern works included more than three times in the textbooks. Next, we conducted a survey of demand of <Korean Literature> among a total of 83 Korean language majors and seven professors at Chinese universities to collect practical answers about the purpose of the class and various learning factors that arise in the process of learning literary works. Through studying the needs of learners and instructors, we sought to understand not only the common opinions of both sides but also their different viewpoints. Based on this research, we suggest various efficient teaching methods for the <Korean Literature> class.
Ground-motion prediction equations for the western Kingdom of Saudi Arabia

First posted December 29, 2023 For additional information, contact: Volcano Science Center - Menlo ParkU.S. Geological Survey345 Middlefield Road, MS 910Menlo Park, CA 94025Contact Pubs Warehouse Ground-motion prediction equations (GMPEs) for the western Kingdom of Saudi Arabia are developed by employing a mixed-effects regression model to modify the Boore and others (2014) Next Generation Attenuation-West2 (NGA-West2) project GMPEs. NGA-West2 addressed several key issues concerning GMPEs for shallow crustal earthquakes in active tectonic regions. However, the NGA-West2 input data do not include many earthquakes in extensional regimes, such as those occurring in Saudi Arabia. This deficiency is redressed by calculating a magnitude scaling of the new Saudi Arabia-specific GMPEs compared to those of Boore and others (2014). Furthermore, there is a clear difference in distance scaling for the Saudi Arabian GMPEs in comparison with the NGA-West2 GMPEs. This difference is especially significant at large distances and is mainly due to lower anelastic attenuation in the crystalline crust of western Saudi Arabia. Our empirical data demonstrate that the GMPEs presented here are in good agreement with observed earthquake ground motions in western Saudi Arabia.
Blockchain; Possible Application in Banking Sector A Systematic Review of Opportunities And Challenges

Innovative technologies are game-changing in the financial sector. The new-born technology (blockchain) is promising to change the entire banking system, despite various benefits, critical obstacles still stand. In addition, with an overview of major opportunities and challenges, this study aims to conduct a comparison between theoretical literature and practical literature to point out a contradiction if it exists. More than 130 references (paper studies and links) which were conducted by cryptography and technology experts, academics, financial institutions, and other sectors were used to achieve study aims. A systematic approach conducted to accomplish study objectives; we analyzed results and different point of views on blockchain application in banking globally. The study concluded that blockchain itself may hold strengths and weaknesses in a single aspect such as efficiency and security, while no contradictions were observed between the results on the ground and the theoretical literature. The vast majority of references indicate that blockchain will be the next banking system, which may change the legacy of banking. As it stands, the current blockchain-based applications are capable of operating in individual services, specifically in payment systems and cost operations. Financial companies which provide similar services can take advantage of this technology, especially in cross-border transfers, and this will retract a large share of bank profits in case this technology is not adopted. After all, a full adoption needs more improvement in projects and applications based on this technology.
Objects Camouflage Possibilities Analysis in the Modern Military Conflicts Conditions

The article analyses the methods of camouflage used in modern military conflicts. The article gives a historical overview of camouflage of military equipment and personnel since the beginning of the twentieth century. The mathematical and physical principles that should be taken into account in the manufacture of camouflage nets are discussed, the requirement for which is the difficulty in recognising and differentiating between an artificial surface and real terrain. The mathematical model of a camouflage net pattern is a fractal, a self-similar scale-invariant object of noninteger topological dimension. From the point of view of physics, the fractal dimension is a statistical value that demonstrates how densely a fractal fills a space. This means, in particular, that by dividing a photo of a real surface into cells and then counting the number of black cells in relation to all of them (in the simplest case of a photo of a winter forest, for example), you can find out the average indicator of the landscape's scale similarity, which can be reproduced on a camouflage grid. In the context of active military operations caused by russian aggression, for effective camouflage, it is proposed to use the concepts and methods of fractal geometry in the manufacture of camouflage means, in particular camouflage nets, to maximise the imitation of natural landscapes and structures that will not be easy to recognise.
Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm

Population growth is increasing every year. Population growth causes an increase in population density in a country. The largest population density is in urban areas. Fires in a city with a high population density will potentially cause greater damage. Material and non-material losses due to fire can be caused by not functioning maximally early warning systems, especially fire detection. In addition, other factors, such as system errors in detecting fires, can potentially cause fires. This research aims to build an intelligent system that can minimize building fire detection errors to reduce user material losses. The intelligent system can classify fire potential into four classifications, namely ”very dangerous,” ”dangerous,” ”alert,” and ”safe.” The method used in this research is Research and Development (R&amp;D) with artificial intelligence using the Na¨ıve Bayes method, which has been integrated with the Internet of Things (IoT). This research shows that the Na¨ıve Bayes algorithm can be used to classify fire potential, proven by the overall system testing accuracy of 93.33% with an error of 6.77%.