Reviewerly/exHarmony huggingface dataset:
THE EVALUATION OF CASCADING AND RADIAL MENUS FOR AUGMENTED REALITY IN A SMARTPHONE

The article describes an evaluation of cascading menu and radial menu in augmented reality (AR) on a smartphone. To evaluate the menus, we measured time to finish the tasks (in seconds) and usability (learnability, efficiency, memorability, errors, and satisfaction) using the System Usability Scale Questionnaire. Data obtained is then analyzed using paired-samples t-test with repeated measures and Wilcoxon signed-rank test to find the statistically significant difference. Overall results showed a preference for the cascading menu type over the radial menu in terms of usability, different from other studies. Statistically, a significant difference was found performance-wise, which indicates that participants are more familiar with cascading menus which contributes to better task time. However, the performance improved the more prolonged the participants got used to the menu when it comes to the radial menu. For errors rates, it is found that the radial menu is less error-prone than cascading menu. This evaluation can help interface designers decide whether they should use the cascading menu or radial menu when designing an interface for AR on a smartphone. The research looks into filling the evaluation gap on the radial and cascading menu, specifically in augmented reality on a smartphone. While other studies have studied and evaluated the cascading menu and radial menu in other environments, this research, on the other hand, tested and evaluated the menu in an augmented reality environment instead of the more traditional desktop environment.
Development of Descriptive Text Learning E-Module with a Constructivistic Approach

The main objective of this research is to develop learning e-modules in teaching English in the classroom as well as to produce and disseminate learning media. This e-module can be used on smartphones and this e-module uses a constructivist approach. The steps of the research model are defined, designed, developed, and disseminated/implemented. Participants in this study were teachers and students of MAN 3 Pontianak. The data collection technique in this study refers to the interview list guidelines, namely the questionnaire. Data collection tools are learning outcomes and questionnaire sheets. This study uses a qualitative descriptive approach for data analysis. The results showed that the design of the electronic module learning development in this study consisted of an analysis of curriculum and learning materials, an analysis of the characteristics of students and an analysis of student learning outcomes. The steps for developing an electronic module are by submitting a lot of learning materials and then being reviewed by experts according to their backgrounds as media experts and learning materials experts. The results of the expert review showed that the average score of the electronic module was 3.77 (range 1 - 4) and also the test given to students before applying it. The response of students after using the e-module showed 83.2% which means a positive response. This e-module can be applied to students because it has criteria such as self-instruction, stand alone, adaptive and user friendly. The learning outcomes of this research are that students are more active and construct themselves in learning descriptive texts in English class. The Minimum Completeness Criteria (KKM) in this study is 75 and the average is 79.04, which means that the use of e-modules in teaching descriptive texts is effective and can increase their scores.
Kokoru paper craft training to improve students’ skills of SDN Cintalaksana 1 Karawang

Cintalaksana 1 Elementary School Karawang, West Java applies a limited online and offline learning model during the Covid-19 pandemic. Some students feel bored because the hybrid learning is still monotonous. Arts, Culture and Crafts (SBdP) subjects can be optimized to overcome student boredom, because in addition to very entertaining/fun learning, they can also explore, hone, and develop the potential of students. As an implication, students' enthusiasm for learning can increase. SBdP learning with interesting materials can increase students' creativity during a pandemic and can even generate economic value. Based on the problems found, a craft training from kokoru paper was held which aims to increase students' creativity while at the same time making SBdP subjects more varied. The methods of implementing the training include: 1) planning; 2) training held offline by implementing strict health protocols; and 3) evaluation. The results show that students are skilled at making kokoru according to the shape or object they want by only looking at examples of existing products and knowing the manufacturing techniques which tend to be very easy, namely folding, rolling, cutting, pasting, and decorating with knick-knacks. Participants gave a positive response after participating in the activity, they could fill their boredom while studying during the pandemic with a new hobby. Kokoru can be applied to increase student creativity through SBdP subjects, especially paper-based handicrafts.
Analysis on the Construction of Enterprise Practice Base for Vocational Education Teachers – Taking Industrial Park as an Example

Higher vocational education is the main place for cultivating high skilled talents. Only teachers with rich skills can cultivate excellent skilled talents. In order to promote the reform of vocational education, the focus should be on building a team of high-quality professional teachers. In the Opinions on Comprehensively Improving the Teaching Quality of Higher Vocational Education that was issued by the Ministry of Education, it has been proposed that professional teachers should be encouraged to practice in enterprises, accumulate practical work experience, and improve practical teaching ability. The purpose of the vocational education community is to establish an enterprise practice base to meet the needs of the modern industry as well as effectively cultivate technical and skilled talents in line with enterprises. The industrial park industry is used as an example in this article to explore the operation mode of enterprise practice base in adapting to the development of the modern industry as well as to better serve the development of vocational teachers and the improvement of students’ professional ability.
Peningkatan Keterampilan Menulis Pidato Persuasif Menggunakan Model Problem Based Learning Berbantuan Multimedia bagi Siswa SMP Negeri 2 Mataram

This study aims to improve the skills of writing persuasive speech texts by using a multimedia-assisted Problem Based learning model for grade 9J students of SMP Negeri 2 Mataram. This research method used classroom action research. Data were obtained by using field notes, observations, tests, and documentation in the form of assignments. The data analysis technique in this research is descriptive analysis. The results of this study indicate that the application of the Problem Based Learning model assisted by multimedia can increase the activeness of students in learning to write persuasive speech texts. The increase can be seen from the percentage of activeness of 65.71% in the first cycle to 94.29% in the second cycle. In addition, the multimedia-assisted Problem Based Learning model can improve the skills of writing persuasive speech texts. This can be seen from the writing results of students who achieved the KKM in the first cycle of 74.29%, increasing to 100%.
Business Models Canvas of MOOCs: an Investigation of Sustainable Practices for MOOC Universities

Massive Open Online Course (MOOC) is defined as an online open-access course available to an unlimited number of students from any location. These online lectures provide convenience and timeliness for students, enabling them to study from anywhere and anytime. With the demand for online learning, universities require a business design model for the MOOC application that will be used as online learning with the hope that it can be carried out continuously and in the long term to support the existence of online learning. The online learning process in Indonesian education in the era of the Industrial Revolution 4.0 and the implementation of the Merdeka Belajar Kampus Merdeka (MBKM). This research aims to create a business model for the implementation of the MOOC application as an open online lecture. The stages of this research method include a literature review study related to business models by the world's leading MOOC platforms, including Coursera, EdX, Udacity, and Udemy. Then analyzed and made a business model using the nine-block canvas method and implemented the MOOC application in the context of the MBKM Curriculum.
Disruptive integration of digital tools to enhance the communicative dimension in university students in the current context

Education in current times has profound changes, at all levels and in all disciplines; in the case of universities, it has integrated new elements and aspects to consider in the teaching and learning process; a fact that allows to empower the professional that society needs in the current context, maintaining the quality of higher education.The future professional substantially requires a communication capacity to access employment, work and entrepreneurship.The objective is to analyze how the disruptive integration of digital tools enhances the communicative dimension: ability to express, communicate and increase technical vocabulary related to their specialty; identify the means of communication and the way they use them to achieve their profile.The methodology that was used was descriptive -correlational, with a non-experimentalobservational design.The study sample was made up of 450 university students from the Social Sciences Area of the public university of the city of Ica, selected through probability sampling, to whom the questionnaire instrument was applied to evaluate the relationship of the variables under study.The result obtained shows a significant correlation at the 0.01 level, which allows determining the relationship between both variables.
Using natural language processing to predict student problem solving performance

In this work we report on a pilot study where we used machine learning to predict whether students will correctly solve the classic "ballistic pendulum" problem based on an essay written by students elucidating their approach to solving the problem.Specifically, students were asked to describe the "principles, assumptions, and approximations" they used to solve the problem.Student essays were codified using the practices of natural language processing.Essays from two non-consecutive semesters were used for training/validation (N = 1441) and testing (N=1480).The final model used to make predictions was an ensemble classification scheme using random forest, eXtreme Gradient Boosting classifier (XGBoost), and logistic regression as estimators.Our accuracy in predicting students' correctness was around 80% with slightly higher accuracy in identifying students who incorrectly solved the problem and slightly lower in predicting student who correctly solved the problem.
ANALISIS SISTEM INFORMASI AKUNTANSI DAN PENGENDALIAN INTERNAL PENERIMAAN KAS PADA AKADEMI TEKNIK RADIODIAGNOSTIK DAN RADIOTERAPI (ATRO) MUHAMMADIYAH MAKASSAR

Nowdays, the development of education in Indonesia has led to quality competition. Public and private professional educational institutions are competing to provide excellent service to produce great alumnae. Although educational institutions is part of organizations which is not looking for profit, however recording and financial reporting are still very needed in the approval and fostering consumer confidence for high school students or even university students. This research aims to find out the cash receipt and internal control information systems at the Radio diagnostic Engineering and Radiotherapy Academy (ATRO) Muhammadiyah of Makassar. The research method used was descriptive method. The results of the research showed that the accounting information system for cash receipts at the Radiodiagnostic Engineering and Radiotherapy Academy (ATRO) Muhammadiyah of Makassar is still weak because there was not a clear distribution in the authorization system and the receipt and recording of cash receipts is carried out directly in campus. It is also known that all the criteria in the internal arrangements for cash receipts are organizational structures, authority systems and recording procedures and practices that are not fulfilled.
Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected People

i. Purpose of the study: Due to the rapid increase of COVID-19 cases, it has become challenging for the entire world to identify and treat infected patients at existing hospitals. In order to stop the spread of COVID-19, diseased persons need to be isolated for treatment. Hence, there is an enormous necessity to identify, monitor, and isolate patients to analyze their current situation and improve diagnostic accuracy to prevent more spread and deaths. ii. Methodology: Providentially, the recent advances in Information and communications technology (ICT) like the Internet of Medical Things (IoMT) bring us opportunities to win the battle against the COVID-19 crisis. The exploratory research distributes practical assistance to the researcher for the rudimentary work. In this study, the exploratory research method was executed to explore the existing literature intensively and recognize the COVID-19 affected patients’ issues or challenges. iii. Main Findings: A new approach of IoMT-based E-Health has been designed and proposed for affected patient’s treatment in real-time. IoMT based E-Health model venture a prodigious promise to treat isolated patients where it applies existing technologies to increase quality control and access to patient healthcare centers in this COVID-19 pandemic effectively. iv. Applications of this study: IoMT-based E-Health involves significant components to track, identify, monitor, manage, store, and analyze patient information for the ongoing COVID-19 pandemic. With the help of the proposed approach, existing hospitals and healthcare centers can manage many infected patients, suggest treatment, and respond quickly according to their emergency alerts. v. Novelty/Originality of this study: This study aims to identify current health systems’ challenges and design a specialized model for the IoMT based E-Health systems by focusing mainly on the challenges that surfaced during COVID-19.
Optimized Hybrid Model for Gaussian Noise Reduction images

In this paper, image noise is removed by using a hybrid model of wiener and fuzzy filters. It is a challenging task to remove Gaussian noise (GN) from an image and to protect the image’s edges. The Fuzzy-Wiener filter (FWF) hybrid model is used for optimizing the image smoothness and efficiency at a high level of GN. The efficiency is measured by using Structural Similarity (SSIM), Mean Square Error (MSE), and Peak Signal to Noise Ratio (PSNR). The proposed algorithm substitutes a mean value of the matrix for a non-overlapping block and replaces the total pixel number with each direction. In the proposed model, overall results proved that the optimized hybrid model FWF has an enormous computational speed and impulsive noise reduction, which enables efficient filtering as compared to the existing techniques.
Trivariate Modelling of the Nexus Between Financial Development, Globalization and Economic Growth: Insight from African Countries

Financial development has been identified as main drivers of economic growth. However, empirical probe of this nexus remains inconclusiveness due use of an inappropriate proxy by previous studies, and the inability of previous studies to consider globalization in this nexus. To this end, we probe the finance-growth nexus in the presence of globalization by applying the Pooled Mean Group (PMG) estimator to a sample of 21 countries spanning 1990–2017. The empirical results affirm the supply-leading hypothesis which indicates that financial development spur economic growth. In addition, our estimate provides evidence of a positive linear relationship between globalization and economic growth. Further, results indicate that physical capital investment plays an important role in accelerating economic performance of African economies. Based on these findings, it is important for African countries to promote globalization-financial development policies in order to have access to alternative sources of external financing and attract foreign investment that can spur growth of African countries.
Practices to Preserve Human Competencies and Their Impact on Achieving Institutional Excellence in the Social Security Institution Jordan

The importance of the study comes from the need to identify human competencies and their impact on institutional excellence, and this study derives its importance through its useful contributions, both theoretical and practical.This study relied on the descriptive analytical approach to test the impact of human competency practices with their dimensions on institutional excellence in its dimensions by reviewing relevant previous studies, and using the questionnaire as a tool for data collection that will cover the results of the analysis of the practical side of the study.To answer the study questions and test the hypotheses, the data will be processed using the Statistical Package for the Social Sciences: SPSS, where the following statistical analyzes were used: .1.Frequencies and percentages to describe the demographic and functional characteristics of the study sample members ..Arithmetic averages and standard deviations of the study tool items and areas.2.Cronbach Alpha internal consistency coefficient to verify the stability of the study tool.3 4. Multiple regression analysis in order to measure the effect of the dimensions of the independent variables on one dependent variable.This study aimed to demonstrate the impact of the practices of maintaining human competencies and their impact on achieving institutional excellence in the Jordanian Social Security Corporation, through the statement of the impact of human competency practices in their dimensions (competence, knowledge, good behavior, skills) on leadership excellence in the Social Security Corporation, and a statement the impact of human competency practices with their dimensions (efficiency, knowledge, good behavior, skills) on excellence in service provision in the Social Security Corporation.The study used the analytical descriptive method.The study sample consisted of (141) male and female employees of the Social Security Institution, regardless of administrative level, age, or gender.The results of the study showed that there is an impact of human competencies with their dimensions (efficiency, knowledge, good behavior, skills) in institutional excellence in its dimensions (leadership excellence, excellence in the service provided) in the Social Security Institution, as well as there is an impact of human competencies in its dimensions (efficiency, knowledge, good
Collusion on blockchain

This chapter addresses collusive agreements on blockchain, meaning collusion that is either enabled by blockchain ecosystems. The challenges that authorities face in this area are daunting. Collusive behavior harms consumer welfare by artificially concentrating the market in the hands of a few. My ambition is to put forward a framework that would help decision-makers understand and address that idiosyncratic competitive risks to which blockchain collusion may give rise (Section 1). I first analyze whether the creation of a blockchain could, in and of itself, constitute an infringement of antitrust law (Section 2) and whether existing blockchains might give rise to distinct forms of collusion (Section 3).
Preliminary Study on Detection of White-Cane Users by Surveillance Cameras and YOLO

The problem of personal accidents of visually impaired individuals in public areas has become a social issue. In this study, we propose a detection method of white-cane users, which are visually impaired individuals, based on surveillance cameras and YOLO. The proposed method was applied to actual videos, and several experimental results were shown.
Multilingual Paraphrase Generation For Bootstrapping New Features in Task-Oriented Dialog Systems

The lack of labeled training data for new features is a common problem in rapidly changing real-world dialog systems.As a solution, we propose a multilingual paraphrase generation model that can be used to generate novel utterances for a target feature and target language.The generated utterances can be used to augment existing training data to improve intent classification and slot labeling models.We evaluate the quality of generated utterances using intrinsic evaluation metrics and by conducting downstream evaluation experiments with English as the source language and nine different target languages.Our method shows promise across languages, even in a zero-shot setting where no seed data is available.
Study of Lu/Hf isotopic composition of zircons using a Neptune Plus multicollector inductively coupled plasma mass spectrometer with an NWR 213 laser ablation attachment

A technique of analyzing the isotopic composition of Lu and Hf and for determining the Lu/Hf and Hf/Hf isotopic ratios in zircons is presented using a Neptune Plus (Thermo Scientific) mass spectrometer with inductively coupled plasma with an NWR 213 (ESI) laser ablation attachment. On the example of Mud Tank, GJ-1, 91500, Plesovice and Temora-2 standard zircon samples, the uncertainty of a single measurement of the 176Hf/177Hf ratio has been obtained in the range of 0.002-0.008% in the form of 2σ (with a crater diameter of 50 μm; when it decreased to 25 μm the measurement uncertainty of the 176Hf/177Hf ratio increased by 1.5-2 times). Under the optimum parameters of the NexION 300S with NWR213 with the aim of increasing the locality of the sequential study of U/Pb and Lu/Hf isotope systems, a comparative characteristic of the application of two approaches has been obtained: in adjacent grain areas (approach 1) and in one crater (approach 2). The metrological characteristics of analyzing the isotopic composition of Lu and Hf and for determining the Lu/Hf and Hf/Hf isotopic ratios in zircons have been determined. To establish the application limits of the developed technique, the factor planning of the experiment has been developed. It was established that with a Lu/Hf ratio of 1/50 or more, the technique is not recommended to be applied due to the incorrect allowance of the isobaric effect. The procedures for measuring and calculating the Lu/Hf isotopic ratios of the isotope system in zircon have been tested on zircon grains (samples NP-46 and NP-47) of the Neplyuevsky pluton (South Urals). The data obtained was in satisfactory agreement with the data of the A. P. Karpinsky Russian Geological Research Institute (VSEGEI).