Reviewerly/exHarmony huggingface dataset:
Immersive VR Modules for Construction Safety Education of Generation Z Students

This research investigated the potential of immersive Virtual Reality (VR) technology as an assistive teaching tool for construction safety and similar courses that require hands-on training. The most significant advantage of VR technology is creating real-life experiences without exposing the students to the dangers of a jobsite. Earlier studies recognized the need to develop customized VR content for construction safety courses that incorporates specific OSHA standards; hence, this study was conducted with a focus on this objective. After in-depth discussion with two construction firms, the research team identified three most needed areas for safety training namely confined space safety, scaffolding safety, and jobsite clean-up safety. A conceptual framework for VR content design, execution, and method of delivery was designed. Then a storyboard was created for each identified area to graphically depict the concept and workflow for the VR programing. Unity® gaming engine was used as the developing platform and VR modules were created for Oculus Go® head mounted display. Each module contained demonstration of the hazards and mitigation methods based on the OSHA standards. Questionnaire survey and SWOT analysis are used as tools to collect feedback and assessment data from undergraduate and graduate students and industry experts. The survey results indicate that the VR based safety education can play a positive role in improving students’ understanding, knowledge retention, and interest in the subject matter. It can help construction firms to conduct enhanced safety training without the need for physical mockups. The paper explains the strategies and lessons learned as well as provides directions for future research.
THE INVESTIGATION OF REFUSAL STRATEGIES USED BY UNIVERSITY STUDENTS OF ENGLISH DEPARTMENT

The aim of this research is to investigate the refusal strategy used by Acehnese EFL university students and  how the  interlocutor’s power status affects on it. The sample of this study were 25 students at fifth-semester of English language department of Syiah Kuala University. In collecting the data, this study used a discourse completion test consisting of 10 situations, and semantic formula were analyzed and categorized according to the Beebe, Takahashi and Uliss-Weltz (1990). The results show that the students used different manners in presenting the refusal strategies. In refusing the intelocutors, they tended to choose an indirect strategy by stating regret or saying 'sorry', and excuses or explanations, while the direct and adjunct strategies were the least to be used. Moreover, this study has also been shown that the interlocutor's status became a significant role in the number of strategies used for refusing. The higher the status of our interlocutor was, the more polite the use of refusal strategies the participants employed. Additional analysis revealed that the students’ culture greatly influences the presenting of their strategy in refusing. The study's results are expected to pave future research concerning English foreign language learners' refusal strategies.
KLASIFIKASI PNEUMONIA MENGGUNAKAN METODE K-NEAREST NEIGHBOR DENGAN EKSTRAKSI GLCM

Pneumonia is an inflammatory parenchymal disease caused by various microorganisms, including bacteria, micro bacteria, fungi, and viruses. This study used an X-ray to find out whether or not there was pneumonia. The objective of this study was to classify the X-ray results whether or not there was pneumonia in a fast and precise way through a program to produce good accuracy. The classification method used in this study were K-Nearest Neighbor (KNN) and Gray Level Co-Occurrence (GLCM) for the extraction method. There are several stages before being classified, namely cropping, resizing, contrast stretching, and thresholding. The results showed that the best accuracy per class was 66.20% for K = 5.
The Design of Neural Network Based Accuracy Prediction for Software Testing Black-Box A Method with the Equivalence Partitions Technique

The absence of a neural network algorithm model to predict the level of accuracy in terms of black-box software testing, equivalence partitions technique is a problem in this research. In this case, the algorithm used for predicting software errors by researchers is the neural network algorithm and testing the software uses the black-box method with the equivalence partitions technique. The neural network algorithm is an artificial neural system, or neural network are the physical cellular system that can acquire, store and use the knowledge gained from experience for activation using bipolar sigmoid output values which range between -1 to 1. Software testing black-box methods is a testing approach where the data comes from defined functional requirements regardless of the final program structure, and the technique used is equivalence partitions. The design prediction accuracy of this research is by determining the college application to be the software to be tested, then tested using the black-box method with the equivalence partitions technique (this test chosen because it will find software errors in several categories, including functions error or missing, interface errors, errors in data structures or external database access, performance errors, initialization errors and terminations), from the black-box test the dataset obtained. This dataset measures the accuracy of the real output and prediction output. The last step is calculating the error, RSME from the real output and prediction output. The results of this research show that the neural network algorithm was being to measure the accuracy level of software testing applied to determine the prediction of the accuracy level of black-box software testing with the equivalence partitions technique, and the average accuracy results are above 80%.
Named Entity Recognition and Named Entity Linking on Esports Contents

We built a named entity recognition system on Esports News.We established an ontology for Esports-related entities, collected and annotated corpus from 80 articles on four different Esports titles.We also trained a CRF and a BERTbased entity recognizer, built a basic DOTA2 knowledge base, and an entity linker that links mentions of entities to articles in Liquipedia (the Esports Wikipedia), and a naive web app which serves as a demo of this entire proof-of-concept system.We achieved an over 61% overall entity-level F1-score on the test set for the NER task.
A Proposed Conceptual Framework On The Adoption Of Internet Of Things (Iot)

The Internet of Things (IoT) has enticed a lot of attention from academicians, professionals, and government officials. In fact, it is an essential technology that is driving the Industrial 4.0 revolution. Many governments in the world are capitalizing on the Internet of things in developing their own nations. However, in many emerging countries, like Malaysia, the adoption of the IoT technology is still characterized by slow pace, especially among the small and medium size companies. It is critical and urgent to understand the barriers and drivers of the IoT adoption. This study, therefore proposes a conceptual framework that extends Universal Theory of Acceptance and Use of Technology (UTAUT) to new constructs in order to develop a model that can be more precise and suitable for the IoT assessment. The conceptual model includes constructs like ICT self-efficacy, automation, personal innovativeness. Based on the proposed conceptual framework, propositions were developed. Future research could empirically test the proposed model in order to draw some conclusions about the explanatory power of the suggested theoretical framework.
The UKF Based Approach to Improving Attitude and Position of Quadcopter Through Autonomous and Non-Autonomous Flight

The gyroscope and accelerometer are the basic sensors used by most Unmanned Aerial Vehicle (UAV) like quadcopter to control itself. In this paper, the fault detection of measured angular and linear states by gyroscope and accelerometer sensors are present. Uncertainties in measurement and physical sensors itself are the main reasons that lead to generate noise and cause the fault in measured states. Most previous solutions are process angular or linear states to improving the performance of quadcopter. Also, in most of the previous solutions, KF and EKF filters are used, which are inefficient in dealing with high nonlinearity systems such as quadcopter. The proposed algorithm is developed by the robust nonlinear filter, Unscented Kalman Filter (UKF), as an angular and linear estimation filter. Simulation results show that the proposed algorithm is efficient to decrease the effect of sensors noise and estimate accurate angular and linear states. Also, improving the stability and performance properties of the quadcopter. In addition, the new algorithm leads to increasing the range of nonlinearity movements that quadcopter can perform it.
THE ISSUE OF READINESS FOR PROFESSIONAL ACTIVITY: THEORETICAL ASPECTS

The article presents an analysis of theoretical psychological and pedagogical research by domestic and foreign scientists devoted to the issue of readiness for professional activity; highlights works in which the types (moral, psychological, command, authoritative, creative, communicative) and varieties (preliminary, premature, potential, direct, instantaneous, situational) of readiness are singled out.General concepts of the interpretation of readiness for professional activity in the psychological, pedagogical and military spheres are characterized.A distinction has been made between the various definitions relating to the training and readiness of future servicemen.The general algorithm of professional development of future officers is highlighted and the levels of readiness for professional activity are singled out: hyberbolized, optimal, reduced and unpreparedness as the lowest level.The nature and structure of readiness for professional activity are defined and theoretically substantiated.
Assessing the limitations to freedom of expression on the internet in Ethiopia against the African Charter on Human and Peoples' Rights

The right to freedom of expression is guaranteed under international law and in the constitutions of most countries. The content of this right has developed and recently has come to be thought of as including the internet as a medium of communication, and the question is raised whether access to the internet is protected under the current set of normative principles. The right to freedom of expression is fully protected under the African Charter on Human and Peoples' Rights, to which Ethiopia is a party. The Ethiopian government restricts freedom of expression on the internet and has adopted extraneous limiting measures. Most of these measures are incompatable with the African Charter. Restrictions to freedom of expression on the internet include internet shutdowns, hate speech and disinformation regulation, repressive laws, and internet censorship. These limitations may (in)directly muzzle freedom of expression in Ethiopia. The writer argues that illegitimate limitations of the right fall short of the quadruple tests of limitation measures, both under the African Charter and the Ethiopian Constitution. As a result, these limitations violate individuals' freedom of expression on the internet. Finally, the article suggests that the Ethiopian government should draw guidance from the African Commission's 2019 Declaration on Freedom of Expression and Access to Information containing rules on limitation measures imposed on freedom of expression on the internet.
General approaches to the design of the access subsystem of high-performance computing systems

Mathematical modeling allows to create a digital model of a product, the so-called digital twin. Such digital twins are quite complex mathematical models, the description of which, as well as the calculation of their parameters and characteristics, is a very serious computational problem that can be solved on high-performance computing systems. However, a building a high-performance supercomputing system designed for solving problems of computer simulation of various physical processes is a difficult time-consuming task. The paper discusses basic approaches to design a login nodes subsystem for such high-performance supercomputing system, allowing to systematize and simplify the process of its development. The analysis of the main factors affecting the structure and composition of the login nodes subsystem is carried out. These factors include the number of potential users of a high-performance computing system; availability of categories of users of the system and their percentage; characteristics of computing tasks solved on the system; hardware platform chosen for building systems. An example of a methodology for calculating of the login nodes subsystem size is given.
SISTEM INFORMASI PENERIMAAN PESERTA DIDIK BARU BERBASIS WEB PADA BALAI LATIHAN KERJA (BLK) KOTA CILEGON

The government through the Manpower Office has built a Job Training Center which aims to provide skills and expertise to training participants in order to improve the quality of prospective workforce. The service for admitting new students at the Cilegon City Work Training Center which is implemented has not been effective because it still uses the manual system, where participants come to the office to take the registration form. This study aims to create a web-based information system for new student admissions at the Cilegon City Work Training Center. Making this new web-based student admission information system uses the waterfall method which includes software requirements analysis, design, system coding, system testing, system support and maintenance. The web-based admission system at the Cilegon City Work Training Center can make it easier for prospective new students to register by saving time and costs compared to coming in person. With this new student admission information system, it is hoped that it can facilitate the processing of new students at the Cilegon City Work Training Center.
DYNAMIC MODELING DATA EXPORT OIL AND GAS AND NON-OIL AND GAS BY ARMA(2,1)-GARCH(1,1) MODEL: STUDY OF INDONESIAN’S EXPORT OVER THE YEARS 2008-2019

It is well known that a country's economy is very dependent on the export of goods and services produced by that country. This depends on exporting either mining products such as oil and gas or non-oil and gas. This paper will study the data export of oil and gas and data export of non-oil and gas of Indonesian over the years 2008 to 2019. The aim of this study is to obtain the best model that can describe the pattern of the data export of oil and gas and data export of non-oil and gas. From the results of the analysis, researchers found that the best models that can describe the pattern of data export of oil and gas and data export of non-oil and gas are the same, namely: ARMA (2.1) -GARCH (1.1) models. These models for both data are very significant with P-values &lt; 0.0001 and &lt; 0.0001, respectively, R-squares are 0.8797 and 0.7604, respectively and Mean Average Percentage Errors (MAPE) are 12.41 and 6.92, respectively. These models are very reliable, and they can be used to predict (forecast) for the next 12 periods (months).Keywords: Akaike's Information Criterion, Autoregressive Moving Average, Generalized Autoregressive Conditional Heteroscedasticity, Mean Average Percentage Error.JEL Classifications: C32, Q4, Q47DOI: https://doi.org/10.32479/ijeep.9892
Análise Comparativa de Redes Neurais Convolucionais no Reconhecimento de Cenas

This paper aims to compare the convolutional neural networks(CNNs): ResNet50, InceptionV3, and InceptionResNetV2 tested withand without pre-trained weights on the ImageNet database in orderto solve the scene recognition problem. The results showed that thepre-trained ResNet50 achieved the best performance with an averageaccuracy of 99.82% in training and 85.53% in the test, while theworst result was attributed to the ResNet50 without pre-training,with 88.76% and 71.66% of average accuracy in training and testing,respectively. The main contribution of this work is the direct comparisonbetween the CNNs widely applied in the literature, that is,to enable a better selection of the algorithms in the various scenerecognition applications.
Improving Students Writing Skill with Collaborative Writing Learning Strategy through Edmodo

Through the development and advancement of technology in writing classes, Collaborative Writing can be done by using the World Wide Web to maximize the process. Collaborative Writing itself involves more than one person to contribute to making the text so of course in the learning process sharing roles and responsibilities is very necessary. However, the use of Collaborative Writing is not enough because in fact, based on previous research there are still some deficiencies found in Collaborative Writing, so combining it with an appropriate and interesting media is needed. The researcher chooses Edmodo as their learning media, Edmodo can be used for collaborative writing where all students can contribute to making good writing. By using Edmodo in Collaborative Writing students can interact and write together with other students to developing their writing. The purpose of this study is to combine the Collaborative Writing strategy through Edmodo to improve students' writing skills. The research model used was Classroom Action Research with 10th-grade students s the subject. Furthermore, data collection techniques used are Observation, Interview &amp; Test. The findings of this study prove that the use of Collaborative Writing through Edmodo is very effective in improving students' writing skill. Improvements can also be shown based on findings from observations that show positive reactions and excellent responses from students. The researcher also briefly recommends the use of this strategy and media to be applied in other ways, skills and at different levels.
Simulasi Monte Carlo untuk Memprediksi Persediaan Darah

Blood is a special organ as a communication and transportation system whose job is to circulate nutrients and oxygen. As a very vital transport system and its very useful existence for many people, blood must be managed properly. Monte Carlo simulations can predict problems related to blood stock and demand for blood. The data that is processed to predict blood supply is blood production data in 2018 and 2019, Simulation results data for 2018 are compared with real data for 2019 and simulation results for 2019 are compared with real data for 2020. The results of the simulations that have been carried out have an accuracy rate of 96.21% for 2018 and 79.22% for 2019. Based on the results of the tests that have been done, it can provide information that can help in the management of forecasting future blood stocks.
Evaluasi Kualitas Website Seleksi Masuk Mahasiswa Dengan Metode McCall

The use of websites as a medium for disseminating information is a matter that is familiar in this era of digital technology. Telkom University which is a tertiary institution in Indonesia which often carries digital themes in its campus certainly does not want to be left behind in the use of websites as a medium for disseminating information and marketing for the community. This study aims to analyze the quality of the information system on the smb.telkomunivesity.ac.id New Student Selection website which is used as an information center for admission of new students as well as registration for Telkom University entrance selection with indicators of McCall's information system quality factors. Based on the results of the study, the smb.telkomuniversity website is concluded to be a good quality website and can provide benefits for its users
Logical structure extraction from scanned documents

Logical structure extraction from various documents has been a longstanding research topic because of its high influence on a wide range of practical applications. A huge variety of different types of documents and, as a consequence, the variety of possible document structures make this task particularly difficult. The purpose of this work is to show one of the ways to represent and extract the structure of documents of a special type. We consider scanned documents without a text layer. This means that the text in such documents cannot be selected or copied. Moreover, you cannot search for the content of such documents. However, a huge number of scanned documents exist that one needs to work with. Understanding the information in such documents may be useful for their analysis, e. g. for the effective search within documents, navigation and summarization. To cope with a large collection of documents the task should be performed automatically. The paper describes the pipeline for scanned documents processing. The method is based on the multiclass classification of document lines. The set of classes include textual lines, headers and lists. Firstly, text and bounding boxes for document lines are extracted using OCR methods, then different features are generated for each line, which are the input of the classifier. We also made available dataset of documents, which includes bounding boxes and labels for each document line; evaluated the effectiveness of our approach using this dataset and described the possible future work in the field of document processing.
ICT in the Primary School

The aim of the study was to explore various issues related to the introduction and use of ICT in primary schools in eastern and central Croatia from the viewpoint of informatics teachers. A total of 232 respondents participated in the survey. Both descriptive and inferential statistics were applied in data analysis. The results indicate that the equipment in computer classrooms is only partially satisfactory. LCD projectors and multimedia computers are mostly used in teaching informatics. The research also revealed that teachers are aware of the importance of ICT implementation in classrooms. However, they are less satisfied with the professional development opportunities. Their responses also suggest that they are ready to participate in the curriculum development process, undertake continuing education, and focus on pupils and their learning. In addition, the analysis showed that teachers, regardless of their background characteristics, share similar views. So far, the issues discussed in this paper have only been superficially examined. The present study expands previous research by providing insight into the practice and attitudes of informatics teachers in Croatian primary schools.
Speech Act Analysis of Madurese Wedding Ceremony in Kalidandan Village, Pakuniran, Probolinggo

Pragmatics is the study of those relations between language and context that are grammaticalized, or encoded in the structure of language. This study aims to describe kinds of speech acts especially locutionary act, illocutionary act, and the perlocutionary act of Madurese wedding ceremony in Kalidandan village, Pakuniran district, Probolinggo regency. The results of this study showed that the illocutionary act of the Madurese wedding ceremony in Kalidandan village, Pakuniran district, Probolinggo regency has various kinds of speech act, 1) direct speech act; 2) indirect speech act; 3) literal speech act; 4) non-literal speech act; 5) direct literal speech act; 6) indirect literal speech act; 7) direct non-literal speech act, and 8) indirect non-literal speech act.Keywords: Speech act, Kinds of speech act, and Madurese