Reviewerly/exHarmony huggingface dataset:
QR Code-Based Pedagogy for Laboratory Resource Management in Indian Higher Education Institutes

Abstract: Blending digital education with traditional teaching learning requires revamping current pedagogical approaches. Recently India has adopted a New Education Policy 2020 (NEP 2020). NEP 2020 has given the focus on skill-based blended education with multiple entries and exit facilities. The learners will learn the skills in the laboratory. Students with varying skill levels and edges interact and have the opportunity to observe human behaviours as a result of the multiple entry and exit points. On the other hand, these gatherings can be viewed as opportunities to develop appropriate resources for both administrations and users. Hence there is a need to deal with and introduce a novel approach for updating laboratory management, administration and student handling approach. This article proposes a new methodology with the Internet of things and QR code technology. Proposed method has quickly and readily reading capability of a two-dimensional barcode called a Quick response code (QR code) arranged in systematic manner for ease of operation. The Laboratory components such as noticeboard contents,l a b m a n u a l s , s a f e t y i n s t r u c t i o n s , v i d e o demonstrations, attendance can be methodically arranged and utilised in the efficient manner. In this research, we are presenting laboratory management system having a Raspberry Pi-based QR Code Scanner. The system implementation is implemented with OpenCV and the ZBar library to improve students' laboratory course learning experiences in higher education. Keywords: QR code; NEP 2020; raspberry pi; thingspeak cloud; lab management; Internet of Things.
Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance

Business practice and various industry reports all show that automobile insurance fraud is very common, which is why effective fraud detection is so important. In our study, we investigate whether today’s widespread AI-based fraud detection methods are more effective from a financial (cost-effectiveness) point of view than methods based on traditional statistical-econometric tools. Based on our results, we came to the unexpected conclusion that the current AI-based automobile insurance fraud detection methods tested on a real database found in the literature are less cost-effective than traditional statistical-econometric methods.
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN BERBASIS APLIKASI GOOGLE CLASSROOM TERHADAP HASIL BELAJAR BAHASA INDONESIA SISWA KELAS X MIPA 2 SMA NEGERI 12 MAKASSAR

This study aims to determine whether there is an effect of using Google Classroom application learning media on the learning outcomes of students in class X SMA Negeri 12 Makassar. This type of research uses a quantitative approach, with a Pre-experimental design research method, a design that includes only one group or class that is given a pre and post test. The research design used in this study is Pre-Experimental one group pre-test post-test design, this is done on one class or one group without a control or comparison group. The research procedure includes the preparation stage, the implementation stage, grouping and analyzing data, concluding the research results. The Sig. value of 0.000 &lt;0.05 was obtained, thus it can be decided that the average pretest and posttest are different. Because the value of Sig. &lt;0.05, then H0 is rejected and H1 is accepted, which means that there is an effect of using learning media based on the google classroom application on aspects of the ability to write argumentation paragraphs and improve the learning outcomes of Indonesian language students in class X MIPA 2 SMA Negeri 12 Makassar.
Estimation of Global Solar Radiation using Angstrom and Gopinathan Model on Sunshine Hour and Temperature in Highland, Nepal

In developing countries like Nepal, the direct measurement of global solar radiation (GSR) is difficult. So, the estimation of GSR is carried out at Jumla (29°16′ N, 82° 11′ E and about 2347 m altitude) for the year 2015 and 2017 using regression technique to the meteorological parameters on Angstrom model, Gopinathan and Olomiyesan- Oyedum models. Among three models, Olomiyesan and Oyedum model is better than other models. Its empirical constants a=0.38, b=0.10 and c=0.09 are found. The values of statistical errors MBE, MPE and RMSE are smaller than other models. Similarly, the coefficient of determination (R2=0.89) is greater than other models. Finally, the finding empirical constants and meteorological parameters sunshine hour, and temperature are used to estimate the GSR for the year 2017. In addition to this, the annual average GSR for the year 2015 and 2017 are found to be 18.86 MJ/m2/day and 17.50 MJ/m2/day respectively. It is concluded that the finding empirical constants are used to estimate the GSR and solar energy at similar geographical location of Nepal.
ANALISA KEKUATAN KONSTRUKSI PADA DESAIN RAMP DOOR KAPAL JENIS MULTIPURPOSE

Ferry ships generally have various kinds of cargo such as passengers, motorbikes, livestock, or goods carried by passengers. The process of transferring the load requires a special path or path in its transfer which is called a Ramp door. One of the important factors in making Ramp doors is their strength, so there is a need for strength analysis in rampdoor design on certain types of ships, one of which is multipurpose ships, strength analysis on ramp doors for certain loads can be visualized using solidwork software.In a comparison of the strength analysis between using the software and calculating the stress, the difference is not that significant and the biggest difference is the calculation of the stress on the load of passengers riding motorbikes when going through the Ramp door. From the results obtained in the calculations and the software, there is a difference of 4.29 % with the safety factor in accordance with the rules of safety factor, which exceeds the number 1.
Aspect and Sentiment Classification Mechanisms of Student After-Class Self-Evaluated Comments: Investigation on Nonsense Data, Feature Extraction, and Classification Models

Students’ after-class self-evaluated comments are useful for understanding students’ learning and reflecting teacher’s teaching. Researchers and engineers have attempted to apply educational data mining techniques, such as text analysis, sentiment analysis, machine learning, and deep learning to develop classification mechanisms of students’ self-evaluated comments. This study was carried out to develop aspect and sentiment classification mechanisms to automatically classify students’ self-evaluated comments into seven aspect categories and three sentiment categories. We investigated the impact of whether we should exclude nonsense data or not, the impact of different feature extraction methods, and the impact of different classification models on classification accuracy. The results showed that the combination of bidirectional encoder representations from transformers (BERT) word embedding feature extraction and Random Forest classification showed the best accuracy (90.7%) on aspect classification when including nonsense data, whereas the combination of BERT-word embedding feature extraction and Random Forest classification had the best accuracy (93.2%) on aspect classification when excluding nonsense data. Including nonsense data reduced the classification accuracies. In addition, the combination of one-word bag-of-words feature extraction and Random Forest classification presented the best accuracy (99.5%) with regard to sentiment classification.
Sistem Informasi Produksi Komuditas Sawit Pada PT. Dharmasraya Palma Sejahtera

Production information system at PT. Dharmasraya Palma Sejahtera is still manually using paper and inputted into Microsoft Word and Excel, so there are problems in recording and reporting. Difficulties in the process of making reports and reporting will increase because the storage media is only in the form of archived document files. Based on the existing problems, a production information system design is needed that can help solve the problem. The purpose of this research is to analyze and design an information system for palm oil commodity production by applying the SCRUM framework. The method used in this research is the SCRUM framework which consists of 3 stages, namely (1) Product Backlog, (2) Sprint Backlog, (3) Product Complete. This study uses modeling tools in the form of Usecase diagrams, Activity diagrams, and class diagrams. The results of this study are a prototype of an information system for the production of palm oil commodities with a design using the SCRUM framework.
Key Issues and “Push/Pull” Messaging on South East Asian Education Agency Websites

As more students from South Asia seek to study at overseas universities, they increasingly contract the services of local education agencies to facilitate their choice of institutions and their application process.This study seeks to better understand the nature of the relationship between South Asian education agencies and students who wish to study abroad.By using qualitative content analysis of education agency websites from five South Asian countries, this study identifies key issues of potentially unethical practices committed by these agencies.It also identifies the most prevalent "push/pull" factors that South Asian agencies use to encourage students to study overseas as well as the most common services that agencies use to support students.The findings indicate that there are widespread ethical issues amongst education agencies and that students are most motivated to study abroad for quality education that may lead to emigration.The implications of this study are then discussed.
Exploring Al-Ghazali’s concept of education: A study of speech acts through English language lens

The purpose of this study is to provide an in-depth analysis of the types, functions, and manner of speech acts utilised in al-Ghazali's notion on educational concept. The study employed a content analysis methodology, which entailed gathering data from a variety of sources, including Al-Ghazali's writings and scholarly articles related to his works. The findings of this study reveal that al-Ghazali's idea of education in is dominated by directive speech acts, followed by assertive acts and constative acts. The category of recommending acts makes up the vast majority of directive acts, whereas order acts are somewhat less common. Further, Al-Ghazali’s use of speech acts tends to emphasize a competitive function, followed by a collaborative one. Interestingly, neither convivial nor conflicting functions are presented in this study. The dominance of directive speech acts, highlight Al-Ghazali's preference for providing guidance and advice to his readers in a harmonious and respectful communication style. Furthermore, Al-Ghazali's use of speech acts can be classified primarily as literal and direct speech acts, with subsequent employment of indirect and non-literal forms.. These findings contribute to the teaching learning process including English language in applying speech act. Finally, this study highlights the significance of considering the types, functions, and manner of performing speech acts propose to teachers and students in English language teaching learning process.
Language teachers in synchronous and asynchronous online teaching: A student’s perspective

COVID-19 fostered education to adapt from face-to-face to synchronous and asynchronous classes so that teachers and students had to migrate to a new way of teaching and learning. There was a period of adjustment (the first three weeks of online learning) for both, teachers and learners; the support provided by teachers differed from this period of adjustment to the support provided after. The perspective that students had about how much a teacher helped or how important was his or her companionship changed. This study was conducted at the Language Center Orizaba that is part of a public university in Mexico named Universidad Veracruzana; in a group of 53 participants in A2 level of English in 2020. Participants answered two questionnaires, one during the period of adjustment from face-to-face classes to synchronous and asynchronous lessons and a second questionnaire at the end of the semester. They started the semester having face-to-face classes so they did not have previous experience in taking online classes. The data collected with both questionnaires were analyzed and categorized; results showed that students need the support of a teacher to tell them how well they are doing and to promote interaction and learning. Moreover, students got strategies that are used in autonomous learning which made them to be more aware about their learning,
Implementation of the Ternatenese Language Revitalization Policy as an Identity of North Maluku Culture in Ternate City

This study aims to see how the Ternatenese language revitalization policy is implemented in Ternate City, especially 1). To identify what efforts have been and will be carried out by the Municipal Government of Ternate in revitalizing Ternate Language in Ternate City, and 2). To see how Ternatenese language revitalization occurs through Ternatenese teaching and learning in elementary schools in Ternate City. This study used qualitative research and involved 96 (ninety-six) participants, consisting of three (3) related officials, three (3) community leaders, 15 primary school heads, 15 elementary teachers, and 60 elementary students from four sub-districts in Ternate City. (North Ternate, Central Ternate, South Ternate, and Ternate Island. The research participants were selected by applying the purposive sampling technique. Data were collected through face-to-face interviews and relevant documents. The data were analyzed using thematic analysis. Research findings indicate that some Ternatenese language revitalization programs in Ternate City have been and will be carried out by both relevant agencies and schools with several successes, obstacles, and hopes.
The Effect of School Internal Environments on Students' Effective Learning at Maswa District

The study assessed the effect of school's internal environment on students' effective learning in Maswa District. The study employed a mixed research approach to avoid the bias of using a single approach. Humanistic learning theory was used in this study as its emphases the learners to relate to the learning environment. Piloting was conducted to ensure validity and reliability of the research instruments. Respondents study were one District Secondary Education Officer (DSEO), four Head of School (HOS), thirty-three teachers, and fifty-six students. An interview guide was used to gather information from DSEO and HOS while a questionnaire was used to collect data from students and teachers. The collected qualitative data were analysed by using themes while quantitative data were analysed by the helper of SPSS computer program version 21. The findings indicated that most of the respondents agreed that the school's internal environment affects students’ effective learning also internal environment had a highly significant role in influencing students’ effective learning. The study government should formulate and adopt a good education policy that will involve every stakeholder in monitoring the school's internal environment
The competence model of a high school graduate

Annotation. The article is a study of the competencies necessary for graduates to successfully complete secondary education. The article used methods of qualitative analysis, synthesis and modeling of sources to determine the key competencies that a high school graduate should have, as well as to build a graduate model in order to evaluate and improve the education system. In addition, a qualitative analysis of the competencies necessary for the successful completion of secondary education is carried out. Offers a model of graduate competencies that allows you to see the relationship and interaction between competencies, predict and evaluate the effectiveness of educational programs and teaching methods. The article may be useful for teachers, scientists and specialists in the field of education who are interested in the development of the education system and the definition of key competencies necessary for the successful completion of secondary education.
TO THE QUESTION OF CURRENT TENDENCIES IN ADVANCED TRAINING OF TEACHING STAFF AS A VECTOR OF THEIR PROFESSIONALIZATION

Abstract: the article is devoted to a detailed analysis of modern trends in the professionalization of teaching staff in the field of advanced training. The necessity of making changes in continuous pedagogical education has been determined. Attention is paid to facilitation of the research and educational process. The question of the formation of the professional identity of teachers is considered. Recommendations are offered for improving the system of teacher training under the condition of supporting school projects and innovative processes in educational institutions.
Optimization of the Assessment Method Used in Web Design and Website Construction Course

In this article, the shortcomings of the existing assessment method used in Web Design and Website Construction course are analyzed, and the assessment method is optimized based on the practice of project-based teaching reform. The main idea is to take project implementation as the leading factor, increase the assessment proportion in the course teaching process, and assume actual static website design and implementation as the final assessment goal. This assessment method improves the shortcomings of existing assessment methods to a certain extent and comprehensively reflects the overall learning situation of students.
From Raw Data to FAIR Data: The FAIRification Workflow for Brazilian Tuberculosis Research

Among the main factors that negatively influence the decision-making process, it is possible to highlight the low quality, availability, and integration of population health data. This study aims to highlight the difficulty of research based on tuberculosis data available in Brazil. The FAIR methodology is a solution for standardizing data and sharing information about the disease. All the main actors involved, including those who generate data and administrators of information systems, should be encouraged to know their strengths and weaknesses. Continuously fostering strategies to promote data quality is, therefore, a strong stimulus for strengthening national health information systems and can potentially benefit from recommendations on how to overcome the inherent limitations of these information systems. Data quality management in Brazilian tuberculosis information systems is still not carried out organized and systematically. According to the FAIR principles, the evaluation demonstrates only 37.75% of compliance.
Extended Reality Solutions in Medical Context and Educational Approaches

The healthcare sector is growing in importance as people continue to age and pandemics complicate the boundary conditions of such systems. The number of innovative approaches to solve singular tasks and problems in this area is only slowly increasing. This is particularly evident when looking at medical technology planning, medical training and process simulation. In this paper a concept for versatile digital improvements to these problems by using state of the art development methods of Virtual Reality (VR) and Augmented Reality (AR) are presented. The programming and design of the software is done with the help of Unity Engine, which provides an open interface for docking with the developed framework for future work. The solutions were tested under domain specific environments and have shown good results and positive feedback.
Patient-Centric Interoperability and Cybersecurity for Cross-Border Healthcare

In Web 3.0 the user owns the information. Decentralized Identity Documents (DID documents) allow users to create their own digital identity and decentralized cryptographic material resistant to quantum computing. A patient’s DID document also contains a unique identifier for cross-border healthcare, endpoints for receiving DIDComm messages and for SOS services, and additional identifiers (passport, etc.). We propose a blockchain for cross-border healthcare to store the evidence of different electronic, physical identities, and identifiers, but also the rules approved by the patient or legal guardians to access patient data. The International Patient Summary (IPS) is the de facto standard for cross-border healthcare and includes an index of information classified into sections (HL7 FHIR Composition) that healthcare professionals and services can update and read on the patient’s SOS service, then retrieving all the necessary patient information from the different FHIR API endpoints of different healthcare providers according to the approved rules.
Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review

Breast cancer is the most commonly diagnosed cancer worldwide, and its burden has been rising over the past decades. A significant advance in healthcare is the integration of Clinical Decision Support Systems (CDSSs) into medical practice, which support healthcare professionals improving clinical decisions, leading to recommended patient-specific treatments and enhanced patient care. Breast cancer CDSSs are thus currently expanding, whether applied to screening, diagnostic, therapeutic or follow-up tasks. We conducted a scoping review to study their availability and use in practice. Except risk calculators, very few CDSSs are currently routinely used.
Integrating IoT Wearable Devices in Telemonitoring Platforms for Continuous Assisted Living Services

Assisted living services have become increasingly important in recent years as the population ages and the demand for personalized care rises. In this paper, we present the integration of wearable IoT devices in a remote monitoring platform for elderly people that enables seamless data collection, analysis, and visualization while in parallel, alarms and notification functionalities are provided in the context of a personalized monitoring and care plan. The system has been implemented using state-of-the-art technologies and methods to facilitate robust operation, increased usability and real-time communication. The user has the ability to record and visualise their activity, health and alarm data using the tracking devices, and additionally settle an ecosystem of relatives and informal carers to provide assistance daily or support in cases of emergencies.
Transfer of nuclear maintenance skills from virtual environments to reality - Toward a methodological guide

Nuclear maintenance operations require several types of cognitive and motor skills that can be trained in immersive environments. However, there is a lack of normalized methodological approaches to classify tasks and guide them for a potential transposition to immersive training. This paper proposes a methodological approach to classify nuclear maintenance tasks based on their complexity and the potential transfer of training obtainable from each type of immersion techniques and their related interactions.This proposed methodology provides a novel approach to compare various immersive technologies and interactions in a normalized way for a same industrial task.This paper aims at serving as a base for a methodological guide dedicated to the transposition of nuclear maintenance skills learned in immersive environments to real environment setups and proposes two future use cases based on this methodological approach.