Reviewerly/exHarmony huggingface dataset:
Prediction of Aeroplane Crash Fatalities Using Regularization Regression

Air transportation is extensively used these days, and the safety of air transportation is affected as the number of aeroplane crash is getting an increase, it is important to decrease the risk of an aeroplane crash. Hence, this study aims to describe aeroplane crash fatalities based on the factors affecting aeroplane crash fatalities, compare the model selection between logistic regression and LASSO logistic regression in terms of prediction of the presence of aeroplane crash fatalities, and identify the main factors affecting aeroplane crash fatalities.  The number of aeroplane crash fatalities from 1st January 2000 to 31st December 2019 is described by using a bar chart. The performance of model selection by using LASSO logistic regression and logistic regression is compared by using the accuracy and precision obtained from the confusion matrix and the AUC value obtained from the ROC curve. The factors that affect the presence of aeroplane crash fatalities are determined from the best model. Based on the results, LASSO logistic regression showed a better performance compared to logistic regression in the analysis of prediction of aeroplane crash fatalities. In conclusion, three main factors which are the flight phase where aeroplane crash happened, regions of aeroplane crash happened, and causes of an aeroplane crash were concluded to show a significant sign that affects the presence of aeroplane crash fatalities. With this, the airlines should take more precautions to prevent the presence of aeroplane crash fatalities.
RANCANG BANGUN GAME PLATFORMER BINTANG KECIL MENGGUNAKAN GODOT ENGINE

Entertainment industry comes in many shapes and form. One example of such things are digital video games. Despite the controversies and bad news around it, the industry shows no progress of slowing down. Many people show interest of developing video games, yet the opportunity seems abysmal, at least in this nation. This research paper intended to draw more people to the positive of video game, and possibly encourage them to try develop their own video games. Content of this paper include the basic process of developing a 2D platformer games using Godot Engine. Assets are homemade, meaning the drawing are self-made, with the exception of fonts.
One semester, two languages: How to teach R and Python to business school students?

It is crazy to teach business students both R and Python at the same time! It was my thought when asked to teach such a course in 2020. However, after one-semester’s heavy struggle together with my students, I found that such a course is not only possible, but also desirable. In this paper, my teaching experiences are summarized into several areas: 1) write my own lecture notes; 2) use concepts and formulae suitable for business students; 3) tons of in-class exercises; 4) use the same formulae, data sets or even the same exercises several times; 5) recording my own video for each chapter even for a face-to-face lecture; 6) over 1,000 small programs; 7) many useful utility functions, and 8) teach R first, then compare Python with R constantly.
HISTORY OF NEUTRINO MAGNETIC MOMENT

In this historic Lomonosov conference on the occasion of 150 year anniversary of the Mendeleev's periodic table, I present the history of neutrino magnetic moment. It was first thought by Wolfgang Pauli and its magnitude was calculated during the gauge theory era.
Efektivitas Kelas Literasi Informasi Asynchronous Dalam Masa Pandemi COVID-19 Menurut Mahasiswa Universitas Pelita Harapan

During COVID-19 pandemic situation, a lot of library services, especially higher education libraries, are demanded to be still running despite the physical limitation. Media transfer of the said services require a lot of adaptation, and a lot of instruction needs to be handed to the students whose information seeking pattern are changed to be fully digital and online. Because of that, information literacy classes are needed to train them to face those issues. The increasing demand for information literacy classes has led to innovations in asynchronous information literacy classes where participants get information literacy materials and practices that aim to help write final assignments independently without much help from librarians, so more students can be aided compared to face to face virtual classes. These new methods of information literacy by the library need to be tested and evaluated to get the data of whether it can run properly and effectively. This study aims to measure how effective the asynchronous information literacy class that are run by the library of Universitas Pelita Harapan with the Moodle platform according to the student user base, in terms of materials, class processes and systems, and teaching media. Evaluation questionnaires totaling 33 questions on a Likert scale were distributed to participants near the end of the class. The results showed that the asynchronous information literacy class was adequate, the participants could understand and follow the class well, with several points that needed improvement, such as places for discussion and questions, alternative media, and some technical matters on the Moodle site that hindered learning.
Resource Allocation Methodologies in Cloud Computing: A Review and Analysis

Cloud computing has emerged as a new technology that has got huge potential in enterprises and markets today. Clouds can make it possible to access applications and associated data from anywhere. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced significantly. Cloud technology is an on-demand infrastructure platform that provides pay-per-use services to cloud users. In order to efficiently allocate resources and to meet the needs of users, an effective and flexible allocation of resources mechanism is required. According to the growing requirements of the customers, the resource allocation process has been more complex and complicated. One of the main priorities of research scholars is on how to design effective solutions for this problem. A literature review on current competitive resource allocation methods is included here.
피쉬본분석을 통한 사회문제 해결형 콘텐츠 융합 교육 연구모델 도출

In this study, the research model of VR․AR contents convergence education for solving social problems was presented after benchmarking the domestic and foreign realistic educational contents industry and policy trends and Fishbone diagram analysis. The goal was to create VR․AR content convergence talent for co-prosperity in the era of the fourth industrial revolution, and the target of education was students, researchers, and business personnel who are interested in VR AR technology education and contents business such as game animation, etc. The education model is based on understanding about storytelling of the socially disadvantaged, such as children and the elderly, and is technology education for content production including the application of virtual and augmented reality SW, and is a convergence education for content planning and business model strategy development.
Mobile Cloud Based Secure Electronic Healthcare Records Sharing System Using Blockchain

: In recent years, at EHR, we have encountered a number of innovative technologies that integrate mobile devices and cloud computing to facilitate the exchange of medical data between patients and medical institutions. Medical care operates with low cost, high flexibility and safety. In the old system, patient files are stored in a file database, which may lead to high risks, such as theft of the file or the tampering of the patient data in the file by a thief. To solve this problem, we created a decentralized system by implementing EHR based on blockchain technology. Here, we have created an access control system with smart contracts, which is very powerful and can ensure the safe exchange of electronic medical records between patients and healthcare providers. The system proposed in contains cryptocurrency from potential threats (Ethereum stores sensitive health information). The proposed system also led to the certification of doctors, patients and pharmacists. When a patient registers for, a unique block and a hash value are created. As soon as the patient talks about his condition, the doctor can analyze it and prescribe medication. The pharmacist will update and bill later.
Design and Fabrication of Low Cost Dual Axis Solar Tracker Mechanical Structure

Global warming had been a serious issue these recent years, the use of alternative energy sources such as solar energy are being more important. To make it more feasible, the efficiency of solar modules must increase. Sun tracking system is one of the methods to increase efficiency. In this paper, design and fabrication of a low cost Dual Axis Solar Tracker (DAST) is proposed. The DAST and control system that control the movement of solar panel to ensure it is always perpendicular to the sun are discussed. The DAST system is a hardware and software system that automat-ically tracks the sun's location during the day. For optimum performance, make sure it's in the best possible position with the sun. When compared to a static solar panel, DAST has been found to provide 16 percent more power output. The low cost me-chanical structure has been fabricated and stress analysis had been performed. Rota-tion axis is control by stepper motor with pulley and belt, while the elevation is control by a linear actuator. It is proved that the low cost mechanical structure design can be used for automatic tracking system along with electronic design..
“Rock overhanging the water”: the initial position of the rock slab with carvings from the collection of the National Museum of the Republic of Karelia on the Peri Nos III Cape

The article reconstructs the initial position of the rock slab with carvings from the collection of The National Museum of the Republic of Karelia on the Peri Nos III cape. The reconstruction is based on an interdisciplinary approach. It combines archival studies, archaeological explorations, analyses of museum collections and 3D modeling. The author for the first time introduces some previously unpublished materials from G. Hallström’s and F. M. Morosov’s archives. The feasibility of reconstruction is verified using virtual modeling technologies including photogrammetry, sculpting, projection of archival photographs on a 3D model. The analysis of information contained in biographical literature allows to conclude that the rock slab was extracted and moved away in 1935. It is concluded that the initial position of the rock slab was atypical for the Onega petroglyphs. At the time the petroglyphs were being carved on the surface of the slab it had already been separated from the bedrock. The author assumes that new petroglyphs can probably be found in the future on similar rock slabs.
Cyber Crime, Data Security and Data Protection

International organisations are no less likely to be the target (and therefore the potential victim) of fraudulent behaviour by members of the public than anyone else. Indeed international organisations are frequently even deliberately targeted specifically because their staff may be known in a wide range of jurisdictions and because of the numerous high-value transactions that are regularly being conducted (in a range of currencies and with a range of potential beneficiaries), hence the possible chance to introduce a false or deceptive claim and gain significant benefits of a fraudulent transaction.
Geochemical Fluid Classifications Using Supervised Machine Learning Techiniques

Abstract Summary This study explores the use of novel data analysis techniques such as supervised machine learning algorithms to unlock the full potential of large geochemical datasets
비대면 수업에서 3S 요인에 따른 학업지속의지 탐색적 연구

The research presents a relationship of academic persistence influences based on individual psychological factors of learners in non-face-to-face classes(untact classes). When measuring tools according to research models, this study defines self-directedness, sociality, and self-efficacy as independent variables, class satisfaction and the orientation of the learning system as dependent variables and then explores the degree of academic continuity influence through correlation and multiple regression analysis between variables. According to the study, self-directedness and self-efficacy have something to do with academic conation, but sociality has no significant impact. Therefore, this study suggests not only improving self-directed learning environment centered on enhancing creativity and convergence but also cultivating self-efficacy to reduce academic stress in online spaces in order to increase non-face-to-face class satisfaction and academic conation.
Reconciliation of Software Architecture in Elicitation

Prerequisite Engineering in setting with programming design is a difficult exploration region for computer programming. It has acquired developing interest because of re-usage of existing modules for diminishing expense and improvement time. Basically, programming engineering is a reflection of the executed framework instead of prerequisites accumulated through planning the particular programming. The primary goal is to distinguish the necessity designing techniques that are as of now being carried out for direction in the plan interaction. Most recent examination strategies and apparatuses are investigated to make programming engineering more adaptable for detectability of necessities. This paper presents a survey of ArchitectureCentric Requirement Engineering (ACRG) based systems for better necessity designing. Five exploration questions are distinguished to assess the current plans covering programming design regarding necessity designing. Methodical Literature Review (SLR) is adjusted to choose 47 exploration articles and to address research questions momentarily. In addition, noticeable enhancements are recognized in these plans that assistance to decrease the hole among necessities and design. Besides, we have short-recorded six apparatuses, six strategies and three techniques that are useable in ACRG based plans
BCMS의 위험평가가 경영성과에 미치는 영향

Purpose: Based on the preceding studies in supply chain management, factors were analyzed to verify the effect of risk assessment and risk management factors of the business continuity management system (BCMS) on management performance. The purpose of this study is to establish a systematic risk management plan by deriving the risk factors of BCMS and evaluating unpredictable risks, and at the same time, contributing to a company's competitive advantage without interruption of work. Method: The structural relationship between risk assessment, risk management and management performance of BCMS was derived. To this end, a questionnaire survey was conducted of 124 managers and managers in Korean companies. Frequency analysis, validity analysis, reliability analysis, correlation analysis, and simple regression analysis were performed. Result: First, risk assessment had a positive (+) effect on risk management. Second, risk management had a positive (+) effect on management performance. Finally, risk assessment had a positive (+) effect on management performance. Conclusion: BCMS's risk assessment and risk management capabilities should be managed through financial performance, and risk management activities should be managed through non-financial performance.
Post-hoc loss-calibration for Bayesian neural networks

Bayesian decision theory provides an elegant framework for acting optimally under uncertainty when tractable posterior distributions are available. Modern Bayesian models, however, typically involve intractable posteriors that are approximated with, potentially crude, surrogates. This difficulty has engendered loss-calibrated techniques that aim to learn posterior approximations that favor high-utility decisions. In this paper, focusing on Bayesian neural networks, we develop methods for correcting approximate posterior predictive distributions encouraging them to prefer high-utility decisions. In contrast to previous work, our approach is agnostic to the choice of the approximate inference algorithm, allows for efficient test time decision making through amortization, and empirically produces higher quality decisions. We demonstrate the effectiveness of our approach through controlled experiments spanning a diversity of tasks and datasets.
PENGARUH PENYULUHAN GIZI MENGGUNAKAN MEDIA WAYANG DAN BOOKLET TERHADAP PENGETAHUAN 10 PESAN GIZI SEIMBANG PADA ANAK SEKOLAH DASAR

Poor nutritional problems in elementary school children is one of the lack of less education to know and understand the importance of nutrition in daily life. Various ways can be done to improve knowledge about nutrition one of them is given learning through nutrition counseling using puppet media and booklets. The use of puppet media and booklets in nutrition counseling because the information presented is complete, practical and more interesting in delivering balanced nutrition message. This research aims to determine the influence of nutritional counseling using puppet media and booklet on the knowledge of 10 balanced nutritional messages in elementary school children. The type of research used is Quasi Experiment research with pretest-posttest with control group. The population of this research study is a grade V subsidiary of SDN Mekar Mukti 06 as many as 46 people and balanced nutritional knowledge obtained by a questionnaire. With the sampling techniques used are purposive sampling. Data analysis using the Wilcoxon and Mann-Whitney Test. The results of the data found that there was an influence of nutrition counseling using puppet media and a booklet for balanced nutritional knowledge in elementary school children (p = 0,000 <0.05) and the influence of nutritional counseling before and after intervention in both treatment groups (p = 0.006 <0, 05). Nutritional counseling using puppet media and booklets affects knowledge. There is a difference in the improvement of nutritional knowledge before and after counseling in puppet group and booklets.
Teaching a neural network with non-tunable exciton-polariton nodes.

In contrast to software simulations of neural networks, hardware or neuromorphic implementations have often limited or no tunability. While such networks promise great improvements in terms of speed and energy efficiency, their performance is limited by the difficulty to apply efficient teaching. We propose a system of non-tunable exciton-polariton nodes and an efficient teaching method that relies on the precise measurement of the nonlinear node response and the subsequent use of the backpropagation algorithm. We demonstrate experimentally that the classification accuracy in the MNIST handwritten digit benchmark is greatly improved compared to the case where backpropagation is not used.
Concept and model of the teacher self-development process in a virtual environment

Globalization and flow rate of information in the modern world requires teachers to constantly work on themselves, constantly analyzed their activities and enriched their experience. The article discusses the importance of self-improvement in improving learning efficiency. From the point of view of scientific and technological progress, the concept and model of the organization of the process of self-study in a virtual environment is developed.
Bayesian Precision Factor Analysis for High-dimensional Sparse Gaussian Graphical Models

Gaussian graphical models are popular tools for studying the dependence relationships between different random variables. We propose a novel approach to Gaussian graphical models that relies on decomposing the precision matrix encoding the conditional independence relationships into a low rank and a diagonal component. Such decompositions are already popular for modeling large covariance matrices as they admit a latent factor based representation that allows easy inference but are yet to garner widespread use in precision matrix models due to their computational intractability. We show that a simple latent variable representation for such decomposition in fact exists for precision matrices as well. The latent variable construction provides fundamentally novel insights into Gaussian graphical models. It is also immediately useful in Bayesian settings in achieving efficient posterior inference via a straightforward Gibbs sampler that scales very well to high-dimensional problems far beyond the limits of the current state-of-the-art. The ability to efficiently explore the full posterior space allows the model uncertainty to be easily assessed and the underlying graph to be determined via a novel posterior false discovery rate control procedure. The decomposition also crucially allows us to adapt sparsity inducing priors to shrink insignificant off-diagonal entries toward zero, making the approach adaptable to high-dimensional small-sample-size sparse settings. We evaluate the method's empirical performance through synthetic experiments and illustrate its practical utility in data sets from two different application domains.
LibGuides: History B309/H509: Primary Resources

This guide is intended for students in the course Britain Before 1688. It directs students to resources that are helpful for fulfilling the research requirements of the course and briefly discusses issues of database search construction and strategies.
Designing and disseminating review criteria for quality of tablet apps in primary school mathematics

The last two decades of creating digital vis-a-vis analogue resources for learning mathematics have led to a hyper-production that is not sufficiently verified as being fully effective yet. Therefore, further design of novel resources along to sustainability and dissemination of existing ones through re-design appear as crucial issues that need to be tackled further. In particularly, this relates applications for touch devices in primary school mathematics. The scientific significance of this paper is to deepen the understanding of the quality of the tablet apps and design criteria for analysis of their potentials, e.g., related to contents about space and shape, through a design-based research approach as a convenient methodology for their dissemination along to their design. This is principally relevant for pre- and in- service teachers’ informed decisions about implementation of apps in own teaching practices, aspects that we empirically investigate and qualitatively analyse through a DBR cycle.