Reviewerly/exHarmony huggingface dataset:
Neural network approximation in the Lipkin-Meshkov-Glick model

Abstract In this paper we approximate the wave function of the Lipkin-Meshkov-Glick (LMG) model by a simple feed-forward neural network. By using the NetKet toolkit we obtain the ground state energies of LMG systems with different interaction strengths and find out that they are very close to the exact values.
Artificial intelligence in international business

Abstract Artificial intelligence is poised to transform international business through the adoption of new digital technology practices as part of the fourth industrial revolution. The how, when, and why of artificial intelligence implementation in international business is still somewhat unknown but will likely significantly influence performance outcomes, market interpretation, risk prediction, consumer interactions, and technology‐based metrics. With greater emphasis on artificial intelligence‐based tools, the future practice of international business will require digital literacy. This means business managers need to improve the way they analyze artificial intelligence in terms of appreciating its usefulness while maintaining privacy and mitigation strategies. In this editorial, we discuss the current developments regarding artificial intelligence in international business with the goal of identifying future research areas of importance.
Code-Switching and Slang: An Analysis of Language Dynamics in the Everyday Lives of Generation Z

This study explores the dynamics of code-switching used in Generation Z’s (Gen-Z) communication practices, revealing it as a dynamic and adaptive strategy employed in diverse social contexts. Gen-Z exhibits context-specific types of code-switching, utilizing informal and casual forms, such as slang and non-formal language, in peer interactions. Within familial settings, a seamless transition between formal and informal language aligns with established family norms, while professional environments witness the use of formal and professional language. The strategic use of code-switching and slang by Gen-Z serves as a nuanced communication approach, catering to specific social scenarios. In informal peer contexts, the incorporation of slang fosters a sense of camaraderie, while code-switching acts as a tool for expressing emotions and personal identity, reflecting individuals’ comfort in conveying specific feelings or ideas in a chosen language. This research contributes to a comprehensive understanding of Gen-Z’s language practices, showcasing their adeptness in navigating diverse linguistic landscapes, expressing identity, and adapting to social expectations. Such insights are pivotal for fostering effective intergenerational and cross-cultural communication, bridging understanding between different linguistic and cultural groups.
Switching the Script: Unveiling the Linguistic Dance of Code-Switching in Nigerian Online Skits

This journal article presents an in-depth investigation into the intricate phenomenon of code-switching in Nigerian online comic skits, a burgeoning genre of digital entertainment. Within Nigeria, a nation characterized by linguistic and cultural diversity, online comic skits have emerged as a potent medium for creative expression, social commentary, and cultural representation. This research delves into the analysis of the different roles and types of code-switching employed by content creators in these skits, elucidating their linguistic, sociocultural, and comedic dimensions. Conducting a descriptive qualitative analysis, Poplack's (1980) Model of Types of Code-Switching and a functional model adapted from Hoffmann (1991) and Appel and Muysken (2005) were applied. Five skits, selected based on substantial viewership and the popularity of content creators, formed the core of this study. Our findings indicate that all three types of code-switching are prevalent in the skits, with inter-sentential switching being the most frequent. Additionally, the seven functions of code-switching manifest in the skits, with the referential function emerging as the most frequent. The primary use of code-switching in these skits revolves around fostering humor, expressing strong emotions, and portraying the educational status of the characters.
Design, Fabrication, and Experimental Analysis of a PV Panel for a Smart Sunflower System

The Smartflower, an innovative compact energy-generation system inspired by sunflowers, stands out in energy innovation. Unlike traditional photovoltaic (PV) panels, it integrates foldable solar cells within a foundational structure for solar tracking aligned with the sun's path. The present paper focuses on designing, fabricating, and analyzing a proposed Smartflower-PV panel solar system. The study aims to comprehensively evaluate the performance of the proposed PV panel under different atmospheric conditions. The significant impact of insolation and temperature on the panel's efficiency was revealed by comparing empirical results from the PV sunflower panel with analytical calculations using MATLAB (m. file code). Enhanced solar radiation improved the system’s performance and efficiency, resulting in higher power output. Analytical insights showed a direct correlation between a 104% increase in solar radiation and parallel increases of 115% in peak power production and 100% in output current. Conversely, higher temperatures reduced power output, with a 400% temperature rise causing an 11.11% power reduction. Empirical observations align with analytical analyses under equivalent conditions, validating the model’s accuracy. This study serves as a catalyst and guide for completing and advancing the Smartflower system's manufacturing, including control, tracking, and the entire energy-generation framework.
Flood Modelling of Premulung River, Bengawan Solo

Premulung River or commonly known as Kali Premulung is one of many branches of Bengawan Solo River in its upstream area. This river pass through one of the most historical cities in Central Java, Surakarta. The overcapacity of this river leads to flood event that has a negative impact on humans. The purpose of this research is to analyze the Premulung River capacity and simulate the flood caused by rainfall design. The hydrological matter was analyzed using Hydrognomon and HEC-HMS while flood modelling was analyzed using HEC-RAS software one- and two-dimension (1D &amp; 2D) simulation. Model calibrations were carried out based on historical flood events (depth, duration, and area of inundation) and local interview due to data limitation. Based on the simulation, the flood modelling shows that the current capacity of Premulung River cannot accommodate its peak discharge for two (Q2) and twenty years (Q20) return period flood. There are two main spots identified flooded due to Q2 flood with depth varies from 40 to 80 cm and duration from 4 hour to 7 hour. For Q20 flood, there are also two same spots identified flooded with depth varies from 1.2 m to 1.8 m and duration from 6 hour to 9 hour. The result of this study can be a reference for flood dike design in the future which still require further detailed investigation.
USE OF SELECTED STRATEGIES IN LEARNING AND THEIR IMPACT ON LIFELONG LEARNING

The article focuses on selected learning strategies that we acquire in school and extracurricular environments. The degree of their use in learning is an important determinant of lifelong learning. A learner who has mastered these strategies has a higher motivation for further education, higher self-confidence and achieves better results. In the empirical part of the work we describe work procedures, research objectives, research set and research methods. The quantitative design of the work is aimed at identifying the rate of use of individual strategies of critical thinking among secondary school students using a questionnaire with Likert-type questions. The results of the research were processed by mathematical and statistical methods. At the end of the work recommendations for pedagogical practice are proposed based on the theoretical analysis and specific research results.
POUZDANOST PRILAGOĐENE INAČICE SKALE SAMOPROCJENE PREDMETNO SPECIFIČNIH KOMPETENCIJA ZA RAD S UČENICIMA S TEŠKOĆAMA U NASTAVI TJELESNE I ZDRAVSTVENE KULTURE

Teachers in primary education have both generic-specific competencies and subject-specific competencies. Generic competencies refer to general competencies and cover theoretical and practical knowledge, while subject-specific competencies refer to the application of knowledge of the substrate science of the subject area in order to realize the set tasks. The goal of the research is to examine the reliability of the Self-Assessment Scale of competencies subject-specific to the physical and health education area needed to work with students with disabilities. The research was conducted on a suitable sample of final year students of the teacher and preschool teacher education study programmes, and the total sample of respondents (N = 84) included 29 female students of the teacher education study programme and 55 female students of the preschool teacher education study programme. The adapted version of the Self-Assessment Scale of teacher competencies working in inclusive teaching (Skočić Mihić et al., 2014) was used for the self-assessment of competencies. The scale consists of ten items, and the agreement with the mentioned statements was assessed on a Likert-type scale. (1-5degrees). Six scale items refer to the cognitive dimension of competencies, while the remaining four refer to the emotional dimension of feeling competency. The results of the research indicate that students perceive both their cognitive and emotional competence to work in inclusive teaching in a physical education class as moderate. In addition, the results of Cronbach’s alpha (α = 0.76-0.88) determine both scales as reliable, and the obtained statistically significant correlation coefficients between the same variable of the first and second measurements (r = 0.57-0.88) define the good stability of the measuring instrument. From all above-mentioned factors, it was determined that the scale has satisfactory metric characteristics and is reliable for use in future research on the population of primary school teachers. The application of the scale for research purposes will provide insight into the current state of the level of competencies of future teachers for inclusive practice in physical education and provide guidelines for the best possible development of teacher education and kinesiology education programmes that will target all students, including students with disabilities
Discussion of the role of perception in visualization: From Cleveland to Heer, we understand how much and why it is important

This paper starts with the literature review from Cleveland to Heer, and deeply discusses the role of perception in the visualization process, and the importance of understanding this role. The study points out that visualization is not only a process of conveying data, but also a process of interacting with the audience's perception. Effective visualization leads viewers to better understand and interpret the data, which also relies on a deep understanding of the perceptual process. By exploring the role of perception in the visualization, this paper highlights the importance of perception in the design process, and provides designers with suggestions on how to better utilize perceptual principles to improve the effectiveness and influence of data visualization.
Detection of Phishing Sites Using Machine Learning Techniques

Phishing is a very commonly occurring attack in which the attacker attempt to get the private information of the user like card details, their passwords their transaction details etc. using fake copy websites. Attackers uses the websites very similar to the original websites and not possible for common people to identify. Phishing is the biggest loop-hole in the cyber world. Phishing became a successful business for phishers. Other than fake websites phishers uses different methods to do this job using messaging, spoofed links to make money and to counter Phishing various method are proposed some anti-phishing techniques are blacklist, whitelist but due to exponential growth on new innovations and technologies these techniques falls a little below as new websites contains dynamically work in it due to that these techniques cannot outperform todays websites.
A Study on the Effectiveness of the iTEST Paperless Testing System in English Listening Course

In the intelligent teaching environment empowered by information technology, the methods and approaches for course examinations have become increasingly diverse, with a greater emphasis on assessing the learning process and linking it to final exams. Computer-assisted testing, as a new examination system, has gained attention and recognition from educators. It has reformed traditional teaching models to a certain extent, liberating teachers from repetitive and labor-intensive teaching activities while improving the overall teaching quality. Taking the application of the iTEST paperless testing system in English Listening course as an example, this study establishes a testing template and evaluates the role of the iTEST system in teaching. The research methods used in this study include quantitative and qualitative research methods, such as interviews and statistical analysis. By collecting feedback from students and teachers who have used the iTEST system, the study aims to understand the advantages and limitations of the iTEST system as perceived by teachers. Through statistical analysis, the study evaluates the examination results of the iTEST system and compares them with those of traditional paper-based tests. The results indicate that the iTEST paperless testing system can effectively enhance the teaching outcomes of English Listening courses, providing students and teachers with a more flexible, efficient, and accurate testing experience.
Mammogram Images Using Noise Removal of Filtering Techniques

Historically, image denoising methods were proposed for reducing salt and pepper noise in mammography images through enhanced filtering techniques. The Mammogram Image Analysis Society (MIAS) benchmark database for DICOM visuals is used to detect benign and malignant breast cancer. Thus, mean and median filtering techniques, as well as spatial filtering methods, are used to implement medical image analysis with the modalities of low and high radiation for medical images. Similar to these experimental and suggested techniques for removing salt and pepper noise, these statistical techniques assess MSE, SNR, and PSNR data for enhanced quality of signal in the image.
Research on Experiences of Teachers and Children through Childcare Curriculum Consulting

The purpose of this research is to explore changes and progress observed in both teachers and children during customized childcare curriculum consulting sessions developed based implementation of self-examination. The research was carried out among 6 teachers of childcare centers. This research was conducted in conjunction with the childcare curriculum consulting project of “A” Childcare Support Center as part of the 4th Standardized Childcare Curriculum implementation. The following were collected: in-depth qualitative interviews, journals kept by research participants, pictures of playtime, video clips, and researcher notes. The collected materials were transcribed and coded with coded responses grouped based on themes as needed. The results were the followings. First, teachers observed with care when children were playing and supported children to find purpose and lead their play time. Second, children became more independent during their playtime and proactively created their own plays. The childcare curriculum consulting supported teachers to implement goals of play-centered and child centered childcare curriculum through implementation of selfexamination.
The Flow of University Writing Courses and Reorganization Aspects of University Writing Textbooks: Focusing on Gyeongsang National University's writing textbooks

The purpose of this article is to summarize the flow and textbook reorganization of Gyeongsang National University's writing curriculum and provide a reference point for the direction of future university writing textbooks by examining the characteristics of the recently published curriculum and the newly published textbooks. Put it. It was in 2009 that writing as a subject was designated as a required liberal arts subject at Gyeongsang National University. Since this period, the first common textbook for writing education was developed and published, textbooks have been reorganized and published every 4 to 5 years. Gyeongsang National University's writing curriculum and textbook composition are moving in a direction that takes into account the goals of liberal arts education and the needs and practical needs of learners. The direction of curriculum revision, which divides writing subjects into four categories and allows learners to selectively complete writing that they need or are interested in, along with the types of writing that are deemed fundamentally necessary for university education, can be understood in the same context. there is. In the case of textbook composition, it can be seen that the educational model and learning areas are subdivided according to the characteristics of the subject, and performance is emphasized through a process-centered approach.
Exploration of Faculty Community Experience to Consolidate the Digital Competence of Preservice Early Childhood Education Teachers

This study explores faculty community experience to consolidate the digital competence of S University students in G City. The participants were six professors of the Department of Early Childhood Education, who formed a program to strengthen digital capabilities and conducted qualitative research on program learning and application processes to reinforce digital competence. As a result of learning process exploration of the professors for digital competence consolidation, they tried to get out of fear deriving from the lack of digital-friendliness, implemented digital devices handling methods, made creative ideas each other, and felt joy of learning. As a community with a goal of reinforcing digital competence, they demonstrated teamwork and built up knowledge. According to the professors’ onsite application exploration results to reinforce digital competence, they had child-like curiosities as they encountered digital education and tried to make good use of digital education’s positive function so that digital education can become practical knowledge in connection with early childhood education. They decided to apply digital education to the curriculum of each subject in order to enhance the preservice early childhood education teachers’ competence. Based on the study results, various communities and training for teachers are expected to be invigorated for consolidation of digital competence of the preservice early childhood education teachers.
Decentralized Energy Trading for Grids Using Blockchain for Sustainable Smart Cities

Blockchain technology can be used to create a decentralized energy trading system for grids that rely on renewable energy sources. This system would allow individuals and organizations that generate renewable energy, such as solar or wind power, to sell excess energy to others on the grid through a peer-to-peer network. Blockchain has smart contracts that facilitate the transactions and ensure that the energy is exchanged securely and transparently. This type of system can increase the efficiency and flexibility of the grid, and help to improve the acquisition of sustainable energy resources. The system allows organizations and smart homes that generate sustainable energy to trade excess energy to others on the grid through a peer-to-peer network, facilitated by smart contracts. The use of blockchain in this manner can increase the efficiency and flexibility of grids and promote the adoption of renewable energy sources. Blockchain technology possesses the potential to transform the energy trading system by creating a decentralized, secure, and transparent P2P energy trading facility for grids that rely on renewable energy sources. This facility allows the trading of energy that is produced in excess by any entity through smart contracts. By using blockchain technology, the energy trading process is more efficient, secure, and transparent, and it can facilitate the adoption of sustainable energy sources. The implementation of such a system, however, requires collaboration between various stakeholders and compliance with existing regulations and standards of the energy sector. Despite the challenges, the potential benefits of a blockchain-based smart decentralized energy trading system make it a promising solution for the future of the energy sector.
A Comparative Study on Machine Learning Approaches for Sentiment Analysis

Sentiment analysis plays a pivotal role in the operations of online product companies. User reviews are taken into account by others when they search for products, forming the cornerstone for delivering the right product based on user sentiments through sentiment analysis. Sentiment analysis involves the process of collecting, analyzing, and recommending reviews, which are often extensive and contain multiple paragraphs of content. This paper presents a comparative analysis of various machine learning models used to conduct sentiment analysis on customer reviews of Amazon products within the Electronics category. The initial models under scrutiny for our analysis include Logistic Regression, Decision Tree, Naive Bayes Classifier, Random Forest, Support Vector Machines, and BERT Model. The experimental result show that BERT classifier achieves higher accuracy when compare with other machine learning models.
Development of ISBAR-Based Anesthesia Unit Handover Instrument with Android Apps Against Completeness Pre and Post Anesthesia Documentation in the Installation Central Surgery

The completeness of anesthesia records both electronically and handwritten is an important measure of information during perioperatives, as well as a legal document against anesthesia providers.The development of a handover instrument model with an android application with Kopelman model theory is needed in order to create an effective handover in the policy of supporting infrastructure and the implementation of anesthesia as an evaluation of the completeness of anesthesia documentation. This study aims to develop an ISBAR instrument with an android application as a guide for the handover of the anesthesia unit at the Central Surgical Installation of RSUD Haji Surabaya. Method: Research design using Research and Development (R&amp;D). The independent variable is the development of ISBAR-based handover instruments, and the dependent variable taken is the completeness of pre- and post-anesthesia documentation. The population was taken as many as 34 nurse anesthetists and 100 pre and post anesthesia documentation, sampling using purposive sampling. The instruments used are questionnaires and observation sheetsResults: The trial of the anesthesia handover using the ISBAR instrument on the android application using the SUS questionnaire obtained 85 results meaning acceptable. Analysis: In stage 1 using descriptive analysis to determine the frequency of data, while in stage 2 using descriptive analysis presented in percentage to show the presentation of application test feasibility results. Conclusions: The development of ISBAR handover instruments with andorrid applications is suitable for use during operational services with Acceptability Ranges conditions that are acceptable. Grade Scale includes B. Adjective Rating: Worst Imaginable results are Excellent and Percentiles results are good.