Reviewerly/exHarmony huggingface dataset:
The Impact of De Transitioning from a Fully Online to a Physical Learning Environment on the Students’ Academic Behavior and Their Identities

The effects of COVID - 19 pandemic have been felt around the globe irrespective of the geographical locations and the populace. The education sector too has faced immense challenges due to the sudden shift to online teaching in terms of resources and knowledge sharing. This study, however, focuses on the next wave of the shift; from online back to physical teaching and explores how this has impacted the students in terms of their academic behavior, social relationships, and academic performance. Data was collected from 120 students in the form of identity portraits, semi-structured interviews from three lecturers and from the administration to ascertain the students’ academic performance. Thematic multi modal discourse analysis revealed that the perceptions of the lecturers on students’ academic performance and behaviour contradicts what students perceived about themselves. Though the students were enthusiastic about returning to physical learning, the lecturers’ expectations were not met. The results shed light on the challenges faced in the return to traditional classroom learning and recommend improved understanding among the stakeholders.
Exploring the Use of TikTok Application to Motivate Sri Lankan Adult ESL Learners to Speak

Prominent researchers in the field of ELT such as Stephen Krashen and R.C. Gardner have emphasized the importance of motivation in learning a second language. Speaking is an essential yet difficult skill to teach as many learners are less motivated to speak in English. This study explored the use of the TikTok application to motivate Sri Lankan adult ESL learners to speak. Quantitative data were collected from a questionnaire given to a sample of 50 first-year undergraduates enrolled at the Faculty of Arts, University of Peradeniya who belonged to the basic competency level. Qualitative data were collected from focus group discussions with these students and interviews were held with 10 instructors who taught English to students who had the basic competency level. Quantitative data were analyzed using descriptive methods while thematic analysis was employed to analyze qualitative data. The study indicated that the students held positive perceptions about utilizing TikTok in the ESL classroom. The results of the study revealed that incorporating TikTok into the English language teaching process motivated the students to speak, developed their speaking skills, reduced their anxiety, increased their confidence, improved student attendance, and broke the monotony of lessons. These results were also corroborated by the interviews held with instructors. Moreover, this study shed light on the fact that students can use TikTok to develop speaking skills even outside the classroom.
DEVELOPMENT OF EMOTIONAL INTELLIGENCE IN MANAGEMENT ACTIVITIES

This article describes the development of emotional intelligence in the process of management, the acquisition of emotional intelligence, management processes that affect the development of intelligence in the process of management in students
Revolutionizing User Engagement: Integrating Chatbot Technology for Real-Time Assistance and Interactive Dialogue in Human-Robot Interaction

This research paper explores the integration of chatbot technology to revolutionize human-robot interaction, focusing on enhancing user engagement through real-time assistance and interactive dialogue. The study delves into the architecture, functionalities, and practical applications of chatbot integration in robots, aiming to optimize user experience and interaction dynamics. Advancements in artificial intelligence and robotics have led to the development of innovative applications, one of which is the integration of chatbot programs into robots for guiding and engaging in real-time conversations with users. This research article presents an in-depth exploration of a robot equipped with a chatbot program, designed to assist users in various tasks while maintaining interactive and responsive communication. The study discusses the architecture, functionality, and practical implications of such a system, highlighting its potential in enhancing user experience and addressing challenges in human-robot interactions.
PENGENALAN BENTUK WAJAH DENGAN METODE CONVOLUTIONAL NEURAL NETWORK UNTUK PEMILIHAN MODEL KACAMATA SECARA ONLINE

Glasses were originally only a visual aid for someone who had a visual impairment, but over time glasses have developed into a fashion necessity. Glasses can generally be tried directly in optics, but due to the pandemic, there are restrictions on interaction so that glasses cannot be tried directly. This research discusses face shape recognition using the Viola Jones method and the Convolutional Neural Network method which is useful for providing recommendations for selecting glasses models via online. The input data is an external data from the Kaggle site which has five face shapes namely heart, rectangle, oval, round, and square. The training process is carried out to train the machine to recognize the user's face shape according to its class. The testing process provides accuracy results of 84.38% and macro average values for precision of 85%, recall of 85% and F1-Score of 84%. This system is expected to help users of glasses to choose a model of glasses that suits their face shape online.
RANCANG BANGUN CHATBOT ZENO SEBAGAI MEDIA AJAR TATA SURYA DAN BAHASA INGGRIS

Technology continues to evolve alongside the progress in education, as higher levels lead to higher-quality technological advancements. Education, especially elementary school, is of paramount importance. They typically educate children aged 6 to 13 years. Research findings show that media such as images, videos, and texts can enhance comprehension abilities by up to 90% for children in this age group. Therefore, digital technology can play a crucial role in assisting elementary school children in achieving this level of understanding. Through chatbot digital tool, educational materials comprising images, videos, and texts hoping to motivate students to review the lesson. We developed the chatbot using the Rapid Application Development (RAD) to the application quickly and iteratively. The results of the chatbot testing received positive responses from teachers and students. Based on the evaluation, 90% of students reported feeling motivated and assisted in their learning while using the chatbot Zeno. Thus, the conclusion is that the chatbot can effectively aid the learning processof English and Solar System.
METODE UAT PADA IMPLEMENTASI SISTEM INFORMASI PENYEWAAN DAN PERAWATAN MESIN FOTOCOPY BERBASIS WEB

The Information System is a collection of systems in its aspect consisting of software, hardware and brainware in a structured manner with performance in a gradual and interconnected process so as to create a specific product that is needed by the user, with regard to copiers in companies generally have processes such as leasing and maintenance, then along with the development of a website-based information system that can make it easier for users to carry out the process of renting and maintaining photocopiers, but from the rental and maintenance of photocopiers there are several problem factors that influence it, namely, customers experience difficulties in renting photocopiers which have to wait for stock from the company if stock is not available. available so that it takes quite a long time during the rental process, in the process of handling photocopier maintenance from customers the procedure takes a long time to repair because there is no system that support in service delivery as well as miss communication between technicians and customers in carrying out photocopier maintenance for spare parts needs so that the technician brings the wrong spare parts when the customer experiences problems from the photocopier, the purpose of which is a reference for research is to create an information system for leasing and maintaining photocopiers for staff and customers at PT. Micostar Karyagraha, Based on these 3 problems as a solution, an information system is needed for the process of renting and maintaining photocopier machines in a website-based performance, besides that tests were carried out using UAT on 50 respondents on 28 staff and 22 customers, the results are good with an average percentage of 82.36%, the final stage of the results of the machine rental and maintenance information system photocopies made for staff and customers on a website basis.
MEDIA EDUKATIF TENTANG HEWAN AIR TAWAR BERBASIS AUGMENTED REALITY DENGAN TEHNIK SUPERIMPOSITION

Augmented Reality (AR) is revolutionizing human-computer interaction by blending the physical and virtual worlds. AR learning using markers or markerless has been widely used in learning media. However, both have a level of saturation because it has been repeated. The learning process of Kindergarten students requires learning that is interesting and fun, so this study explores learning freshwater fish using AR for children and emphasizes the importance of interactivity-centered design through 3-dimensional real objects. The approach is carried out using a superimposition technique that allows real 3-dimensional objects to become varied markers. The test results at the scan angle of the papercraft object used at a distance of 50cm with a slope of 1800, 50cm with a slope of 1300, 50cm with a slope of 900. Likewise the test results on respondents between ordinary learning using the AR application found 83.4% for ordinary learning and 100 % to study with the app. In the end, this research tries to present a new method in markers with a more interesting and real Superimposition technique.
E-Gold and Investment Challenges: How Digital Gold Works for Economic Recovery after Covid-19 Pandemic

Purpose: This study aims to analyze the urgency of gold (e-gold or digital gold) invested for economic recovery after Covid-19 pandemic.Design/Method/Approach: This study applied descriptive qualitative with a literature review approach. The data collected through documentation from authoritative agent on investment business and observation on economic turbulence during the days of Covid-19 pandemic. The data obtained from market review reports, finance symposium summary, economic and business news, article journals, and some relevant books. While the data analysis technique developed base on conclusion drawing technique in order to fine out a systematical analysis as well as objective conclusion.Findings: The results show that gold investment is really recommended because more profitable and gold performed relatively better than many other assets in the early pandemic stages. Besides, the digital transaction was appointed in the Qur’an, Hadith and `Ijma’. Meanwhile, there are two opinions regarding allowance and prohibition related to digital gold investment. First, it is forbidden due to the payment by credit not cash. In addition to the four madzhabs' opinion, this transaction must be complied the cash transaction requirements in order to prevent the usury. The second is Ibn Taimiyah's opinion and DSN-MUI regulation shown that as long as the transaction fulfills the requirement, it is allowed.Originality/Values: The main contribution of this study concern on filling the gap of how urgency the e-gold investment for recovering the economic impact of pandemic and how e-gold investment according to the Islamic economic perspective.
Enhancing Cloud Service Selection through Enterprise Architecture with the rSCS Framework

In the rapidly evolving realm of cloud computing, selecting the right cloud service provider is crucial for achieving technological excellence. This paper introduces the reliable selection of cloud service (rSCS) framework, designed to tackle the complex challenge of cloud service selection. By integrating enterprise architecture principles, the rSCS framework offers a strategic approach. Through a blend of reliability metrics, data-driven analysis, and customization, it provides a comprehensive methodology, empowering organizations to choose cloud services aligned with enterprise architecture. Using these criteria and real-time performance data, data-driven analysis enhances decision-making precision. The rSCS framework aligns cloud service selection with enterprise architecture, amplifying efficiency, mitigating risks, and guiding organizations in the dynamic cloud computing realm. A presented case study highlights the framework’s prowess in enabling well-informed decision-making, enhancing operational efficiency, security, compliance, and cost-effectiveness. The iterative nature of the rSCS framework, exemplified by the feedback loop, underscores its adaptability in refining cloud service strategies based on real-world experiences. This paper significantly contributes to understanding how the rSCS framework optimizes cloud service selection according to distinct goals and priorities.
Relative Amplitude Preservation Analysis on Interpolation Methods of The Unaliased F-K Trace Interpolation and Regularized Nonstationary Autoregression

The seismic data interpolation method has been widely used to increase the fold coverage in seismic data processing. This technique can be applied to convert multi-2D lines into pseudo-3D, which is an alternative to obtaining 3D seismic volume data due to the relatively high acquisition cost. However, the quality of the seismic interpolation results is not the same as the real 3D seismic data acquisition results. This study carefully analyzed these differences to understand how accurate the results were. There are two methods used for data interpolation, namely Unaliased f-k trace interpolation (UFKI) and Regularized Interpolation Nonstationary Autoregression (RNA) methods, which are applied to 2D pre-stack data to increase the fold coverage and 3D data to convert multi-2D lines into pseudo-3D. Then, the interpolation results on the pre-stack data are evaluated on the 2D and 3D data, and an amplitude change is analyzed. It is done to test whether the amplitude of the seismic data from the interpolation results is still relatively preserved based on the evaluation results of the changes in the AVO response. The results show that the interpolation process in the receiver and shot gather domain (UFKI and RNA) could increase the fold coverage and maintain the relative amplitude preservation and AVO response
Blockchain Revolution in Healthcare: Fostering Applications, Enhancing Security, and Ensuring Data Interoperability

Blockchain technology possesses the potential to revolutionize the healthcare landscape, particularly in secure and interoperable data exchange. This qualitative research study embarks on an exploration of the importance of assessing the feasibility of implementing blockchain solutions and dynamic relationship between blockchain technology and the healthcare sector, shedding lighter on the central research question guiding the study on; how does the integration of blockchain technology impact data security, privacy, and interoperability in the healthcare sector? Employing qualitative research methods, including in-depth interviews and content analysis, this study dives into the perceptions of healthcare professionals and stakeholders regarding the integration of blockchain solutions. Through these extensive interviews and comprehensive data analysis, the research uncovers pivotal themes relating to blockchain's applications, its profound impact on data security and privacy, and the intricate considerations surrounding the achievement of data interoperability. The findings of this study reveal that blockchain technology has the potential to enhance data security, improve privacy measures, and facilitate interoperability in healthcare settings, but its successful implementation hinges on addressing ethical and regulatory challenges, elucidating the ethical and practical complexities inherent in the incorporation of blockchain technology in healthcare. This research offers valuable perspectives for policymakers, healthcare organizations, and technology developers as they navigate the evolving landscape of blockchain technology within the healthcare domain. Most importantly, it underscores the imperative of recognizing the human dimension within technology adoption in healthcare settings and offers expanding corpus of qualitative research in the sectors.
Public Perception and Reaction Toward Early-Age Marriage (Case: Village of Arajang, Region of Wajo)

The practice of early-age marriage has been observed to have a multitude of adverse effects on various domains, including mental health, physical health, education, productivity, and most significantly, the quality of human resources in the future. The practice of early-age marriage has been observed in various locations, including the village of Arajang in the Wajo region. The legality of early-age marriage is addressed in National Law No.16 of 2019, which stipulates that marriage is only permissible when both people involved have attained the age of 19. However, it is important to note that the actual findings diverge significantly. This study employed a qualitative approach, utilizing open interviews as the primary technique of data collection. Additionally, deductive reasoning was employed in the analysis of the gathered data. This research has identified several factors that influence early-age marriage, including cultural and traditional practices, levels of knowledge and education, instances of adultery, and economic and poverty-related concerns. Another outcome of this study indicates that the residents of Arajang do not exhibit concerns regarding early-age marriage. Consequently, there is a pressing necessity to undertake comprehensive educational initiatives to raise awareness about the consequences of child marriage.
How to Improve the Quality and Effectiveness of Chemistry Teaching in Vocational Schools

For students in vocational schools, their performance in chemistry study in junior high school is generally not ideal, and they attach little importance to chemistry in junior high school. Even some students think that it is useless to learn chemistry and do not want to spend time on this subject. However, the current psychological pressure of vocational school students is generally large, which leads to their low enthusiasm and initiative in chemistry learning in junior high school, which seriously affects the quality and effectiveness of chemistry teaching. Therefore, the chemistry teachers in vocational schools need to improve the teaching quality through a series of effective measures, so as to enhance the students' interest in learning this subject.
Teaching Analysis on Cultivating Students' Innovative Music Ability in Middle School Music Classroom

The Music Curriculum Standards for the Compulsory Educational stage (2022) stipulates that the core quality of music discipline mainly includes four aspects: aesthetic perception, artistic expression, cultural understanding, and creative practice. In the teaching process of high school music classrooms, more emphasis is placed on the cultivation of core competencies. In middle school music teaching, teachers should start from their core competencies, combine with the actual situation of music teaching, create a music teaching atmosphere, stimulate students' interest in music, and enable them to experience the artistic charm of music in the music classroom. To achieve this, teachers need to explore teaching methods from an innovative perspective and adopt advanced teaching methods to cultivate students' innovative abilities. To cultivate students' innovative abilities in the classroom, teachers need to change their teaching methods and concepts.
Construction of Doubt Prediction Model of Audit Big Data Based on Fuzzy Clustering Algorithm

In order to support the formulation of audit plan with scientific data, an audit doubt prediction algorithm based on parallel improved random forest algorithm is proposed under the background of audit big data. Firstly, a Hadoop-based audit big data management scheme for electric power enterprises is established, and the heterogeneous audit data collected by various power grid subsystems are integrated and stored. With the advent of the era of big data, the geometric growth of audit data and the increasing complexity of data types have brought great challenges to the audit work, and the traditional sampling audit and query-based audit methods can no longer meet the requirements of “full audit coverage”. This paper combines theory with practice, uses big data analysis methods such as k-means++ clustering analysis and text mining in financial internal audit to help determine audit priorities, find audit doubts, improve audit efficiency, provide technical basis for full coverage of audit supervision, and provide solutions for the development of large data internal audit, which has certain theoretical significance and practical value.
Research on the Application of the Combination of Artificial Intelligence and Electrical Automation

With the development of artificial intelligence, the application of artificial intelligence technology in the field of electrical automation control has gradually become widespread, promoting the improvement of electrical control efficiency and the reduction of operating costs. In this paper, by outlining the latest progress of artificial intelligence technology, combined with the current development status of the field of electrical automation, the relevant contents of the combination of artificial intelligence and electrical automation are discussed in depth. This paper describes the actual cases and application ideas of “Artificial Intelligence Circuit Board Mapping” and “Artificial Intelligence Natural Gas Pipeline Pressure Control”, and explores the application of the electrical automation control field with artificial intelligence technology by taking the fault diagnosis generated by photovoltaic power plants as an example. On this basis, the combined application in related fields is further explored, providing theoretical experience and practical reference for future research and development in this field.
Research on the Construction of Conductive Fiber Network Based on Information Fiber and Its External Field Response Performance

Conductive polymer composites are made of polymer matrix filled with conductive fillers, which are widely used in automatic temperature control heating materials, sensors, electromagnetic shielding, antistatic materials, etc. Under the action of stress, temperature, gas, liquid and other external fields, it shows rich response behavior. Although CPCs-based stress sensitive materials have excellent characteristics (such as easy processing and low cost), there are still many shortcomings to be solved. Therefore, it is of great significance to construct a new polymer structure to control the performance of CPCs. In order to obtain a more effective conductive network and improve the sensitivity, response rate and stability of composite sensor, CPC with different microstructures was prepared by designing and regulating the conductive network in CPC, the response behavior of CPC to external stimuli was discussed, and the relationship between the structure regulation and performance of CPC was analyzed. As a functional polymer material, it shows obvious response behavior to external stimuli such as temperature, humidity, organic solvents, pressure, etc., which provides great potential for the application of polymer materials in medical health, intelligent machines, aerospace and other fields.