Reviewerly/exHarmony huggingface dataset:
The Development of Online Studying in Term of Implementing Fundamental Technology to Enhance 21st Century Education, for 1st Year Primary School Students (Science Department)

Abstract The purposes of this research were to develop and examine the efficiency of online studying in term of implementing fundamental technology for Primary 1 with an efficiency of 80/80. To compare student’s achievement between before learning and after learning though the online studying packaged developed and to study student’s satisfaction toward studying packaged developed. The samples group consisted of 39 students from Bankhuhasawan School (Primary 1/7, 2/2561 semester) Khusasawan District, Muang, Phatthalung using random sampling technique.Research Instruments consisted of 5 online lessons on implementing fundamental technology, 20 course syllabus, 10 multiple choice achievement test and satisfaction survey form the statistics for data analysis were an efficiency of E1 E2 and (80/80), mean, percentage, standard deviation and statistics (T-Test).The research findings were as follows: 1. The efficiency of online studying developed was overall at high level at 84.10/86.92 which is higher than the standard and based on the hypothesis. 2. The comparison research of student’s achievement between before learning and after learning of the studying online package developed had a significant different statistic at 0.5 which is based on the hypothesis. 3. The student’s satisfactions is at the highest level (x= 4.60) which is based on the hypothesis Keywords: Online studying, Enhance 21st century education, Term of implementing fundamental technology
Analysis of Intensity, Duration, and Frequency Rain Daily of Java Island Using Mononobe Method

The importance of analyzing rainfall is expected to help in handling disaster-proneareas, so that the consequences can be minimized. This study aims to determine the intensity ofrain in the short term. The data used in this study is the annual rainfall data in Java for 2005 -2019 for each province. The method used in this study is the Mononobe Method to see theintensity of daily rain and its daily return period. The results of this study indicate that theintensity of rain during the duration of one hour to three hours decreases quite significantly, butat the duration of four to eight hours the decrease in rain intensity is not as big as the decrease inthe duration of one hour to three hours. The highest rainfall intensity is in the one hour durationin West Java Province. However, the intensity for the five to eight hour duration tends to be thesame for 6 provinces in Java. The rainfall threshold in Java is included in the category of heavyrain. High rainfall intensity lasts for a short duration, on the other hand, rainfall with low intensitytends to occur over a relatively long duration
Culture as a Way of Value Development of Being and Praxeological Behavior of People

The article is devoted to the consideration of value and activity approaches to the analysis of culture. It is shown that values are important not in themselves, but as criteria for a person’s choice of certain alternatives in a given situation. Culture, thus, becomes a way and method of value development of being, expressed in the praxeological behavior of people. In the process of activity, a person creates, including himself, develops his essential powers, carries out socialization and individualization, and becomes a member of society, a unique person. This is the human-making, cultural meaning of human activity. The activity approach allows us to overcome the limitations and shortcomings of the value approach, which is expressed in the awareness of the dynamics factor. Culture is perceived not only as an object, but also as a process.
The Redundant Signals Effect and the Full Body Illusion: not Multisensory, but Unisensory Tactile Stimuli Are Affected by the Illusion

Abstract During a full body illusion (FBI), participants experience a change in self-location towards a body that they see in front of them from a third-person perspective and experience touch to originate from this body. Multisensory integration is thought to underlie this illusion. In the present study we tested the redundant signals effect (RSE) as a new objective measure of the illusion that was designed to directly tap into the multisensory integration underlying the illusion. The illusion was induced by an experimenter who stroked and tapped the participant’s shoulder and underarm, while participants perceived the touch on the virtual body in front of them via a head-mounted display. Participants performed a speeded detection task, responding to visual stimuli on the virtual body, to tactile stimuli on the real body and to combined (multisensory) visual and tactile stimuli. Analysis of the RSE with a race model inequality test indicated that multisensory integration took place in both the synchronous and the asynchronous condition. This surprising finding suggests that simultaneous bodily stimuli from different (visual and tactile) modalities will be transiently integrated into a multisensory representation even when no illusion is induced. Furthermore, this finding suggests that the RSE is not a suitable objective measure of body illusions. Interestingly however, responses to the unisensory tactile stimuli in the speeded detection task were found to be slower and had a larger variance in the asynchronous condition than in the synchronous condition. The implications of this finding for the literature on body representations are discussed.
Privacy-Preserving Video Classification with Convolutional Neural Networks

Many video classification applications require access to personal data, thereby posing an invasive security risk to the users' privacy. We propose a privacy-preserving implementation of single-frame method based video classification with convolutional neural networks that allows a party to infer a label from a video without necessitating the video owner to disclose their video to other entities in an unencrypted manner. Similarly, our approach removes the requirement of the classifier owner from revealing their model parameters to outside entities in plaintext. To this end, we combine existing Secure Multi-Party Computation (MPC) protocols for private image classification with our novel MPC protocols for oblivious single-frame selection and secure label aggregation across frames. The result is an end-to-end privacy-preserving video classification pipeline. We evaluate our proposed solution in an application for private human emotion recognition. Our results across a variety of security settings, spanning honest and dishonest majority configurations of the computing parties, and for both passive and active adversaries, demonstrate that videos can be classified with state-of-the-art accuracy, and without leaking sensitive user information.
LibGuides: Topics in Business: Industry Research: Federal Government Resources

A review of industry research sources, including databases, free online federal and state government resources, and more.
Multilayer Perceptron Approach in Breast Cancer Diagnosis

Many diseases cause death in people around the world. One of them is cancer, and many types of cancer diseases are seen today. One of the cancer types that cause the most death is Breast Cancer. Early diagnosis has an essential place in Breast Cancer as it is crucial in every disease. Thanks to early diagnosis, the patient's survival rate increases as a result of the treatment applied. Today, many studies are carried out and developed to be able to diagnose breast cancer early. The work done with the algorithms found in machine learning is just one example. In this paper, MLP (Multilayer Perceptron), which is one of the Machine Learning methods, and the algorithm in Breast Cancer Diagnosis is explained using the data collected in the Department of General Surgery, University Wisconsin, Center of Clinical Sciences.
Penerapan Media Benda Konkrit Untuk Meningkatkan Hasil Bela-jar Matematika Peserta Didik Kelas 1A SD Negeri 219 Bengkulu Utara

This research is a Classroom Action Research (CAR) which aims to improve the learning outcomes of class I A students of SD Negeri 219 Bengkulu Utara. The research was carried out in 2 cycles, each cycle consisting of 4 stages, namely planning, implementing the action, observing and reflecting. The time for conducting the research starts from July 2019 to March 2020 with an agenda from planning to preparing reports. Meanwhile, the research site was conducted at SD Negeri 219 Bengkulu Utara. The results of the research on the Application of Concrete Object Media to Improve the Learning Outcomes of Class 1 A Students of SD Negeri 219 Bengkulu Utara for the 2019/2020 academic year can improve learning outcomes. This can be seen from the increasing percentage of students who have completed it. The learning outcomes of students in the complete cycle I reached 34.4%, while in cycle II students who completed reached 86.2%, there was an increase of 51.8%.
Test-Driven Development

Test-Driven Development, known by its acronym TDD, is one of the many development approaches to have gained traction through the Agile software development movement. It is based on the idea of developing software using a test-first perspective: first, a failing executable test is written; then production software is written capable of passing the test. Accordingly, as its name suggests, the development of production software is being driven by the test. This chapter explores TDD.
LibGuides: Requesting Materials from Skyline Library: Step 2: Pick Up Items

This guide is for students who need technology, books and other items from Skyline Library. It explains how to request, pick up and return materials.
Library Research Guides: Multimedia Source Material: Images

Use this guide to find source material for projects and learn how to correctly attribute that material.
Factors Affecting Employee Job Satisfaction of a Major Middle Eastern Airline

Employees’ job satisfaction plays an important role in strengthening their relations with an organization. This phenomenon carries more significance in the aviation industry due to the involvement of heavy investment and high competition. The present study aims to identify critical factors that affect the satisfaction level of employees’ at major Middle Eastern airports. Data were collected from 406 respondents with the help of a questionnaire comprised of thirty questions, divided into seven major categories. Respondents were responsible for providing ground services to passengers at the airport. A Likert type scale was used to evaluate answers varying from strongly agree to strongly disagree. Validity and reliability tests were applied to ensure the suitability of data and authenticity of responses. Data were analyzed with the help of independent sample T-tests, ANOVA and Regression analysis. Results of the study are beneficial for leadership of the aviation industry, who can use these factors to develop improvement strategies. These strategies will not only enhance the satisfaction level of their employees, but also improve the productivity and profitability of their respective organizations.
Relations between cumulants and central moments and their applications

Abstract At the beginning of this paper, we consider the solution to the problem of constructing relations between mixed central moments and cumulants (semi-invariants) of an arbitrary vector random variable. The sought relations are derived on the basis of formal operations over the Maclaurin series, which are various expansions of the characteristic function of the random vector. In the case under consideration, the coefficients of the expansions are mixed moments, cumulants, and central moments. One of the applications for the recurrence relations obtained is their usage to closure systems of ordinary differential equations (ODE) for the functions of the mathematical expectations and the functions of central moments until a given order. These functions are the main probabilistic speci cations for the state vectors of systems of stochastic ordinary differential equations (SODE) describing a behavior of stochastic dynamic systems. Therefore we have devoted the last part of the paper to derivation of the ODE system satisfied by the indicated moment functions.
World Covid-19 Vaccine Names Classification Using Neural Network Method

The Covid-19 pandemic has occurred for a year on earth. Various attempts have been made to overcome this pandemic, especially in making various types of vaccines developed around the world. The level of vaccine effectiveness in dealing with Covid-19 is one of the questions that is often asked by the public. This research is an attempt to classify the names of vaccines that have been used in various nations by using one of the robust machine learning methods, namely the Neural Network. The results showed that the Neural Network method provides the best accuracy, which is 99.9% higher than the Random Forest and Support Vector Machine(SVM) methods.
An Analysis of Indian English News Headlines

News Headlines (NHs) are of the most creative uses of natural languages in a media text. An NH is the frontline of a news article. Specific characteristics make NHs standout: for instance, article omission, use of active verbs, dropping the copula to save space and to attract the reader’s attention to the most significant words, etc. Some research has been done on linguistic analysis of British English NH, Hindi-Urdu NHs, but hardly any work has been conducted on IndENH. This paper attempts to analyze Indian English newspaper headlines (IndENH), and aims to contribute to the accuracy of News Headline parsing. This study determines the linguistic features of the IndENH, to improve the quality of the parsed output of NHs. This paper covers sentence construction, tense, punctuation marks, metaphors, etc. for linguistic analysis.
Recent Advancements in Address Coding and Reverse Coding In Geocoding Spatial Location

GPS devices and other popular software, typically find yourself with information around latitude and longitude coordinate information, is great, but not exactly human readable. Readable format address information with streets, cities, countries, etc. Reverse geo coder API that allows you to take latitude and longitude information collected from elsewhere and converts it into address information Retrieving assets from inside a secure element should be difficult. The cryptographic keys stored in the Non Volatile Memory area, the algorithms. We have only access to the data.[1] Using of specifically designed graphic tool to reason about the data such that we are able to understand the principle of the algorithm.
외국인 한국어 학습자의 한국어 어두 장애음의 발음과 표기 오류 원인 분석

The purpose of this study is to examine phonetically if the spelling errors produced by foreign Korean learners are related to learners’ pronunciation by analyzing the pronunciation of plain, tense, and aspiration sounds of foreign Korean learners using a Praat. A statistical analysis was performed on the listening, reading, and writing data produced by 18 foreign university students at the beginner level. The results are summarized as follows. First, foreign Korean learners accounted for the majority of errors in plain and aspiration sound among initial obstruent words. This can be interpreted as an extremely strong or very weak pronunciation of the word, because learners do not properly recognize the intensity of range in plain sounds. Second, the more accurate the learner’s perception was, the more accurate production can be made. Statistically, it was found that the production rate increased by 0.178 each time the perception rate increased by 1. Therefore, the correlation between perception and production is established. Third, the relationship between pronunciation and spelling is a relationship that increases by 0.652 each time the pronunciation increases by 1. It can be explained that there is a possibility that the learner may often write words as they pronounce them.
LibGuides: Award-Winning Children's Literature: Primary Awards

The Curriculum Resource Center actively purchases books that have won these awards. Each of these awards is searchable in the catalog.
Resource Optimization Based Cloud Gaming

Cloud gaming enables the users to get rid of the incompatibility issues created due to a fixed specified computer and always advancing versions of games. And hence, Cloud Gaming attracts lots of entrepreneurs, general masses, researchers and capitalists. This system aims at constructing such a cloud-based application which is easy to use. The gamers with low specification computers and laptops can also enjoy high-quality games anywhere and anytime. The game that will be played by users on his system will get processed at the server and the output of the game as the user wants to see it. What he can call the game play will be live streamed to him on his machine. The latency time factor could be one of the many parameters that will be notably looked to increase the quality of it. These all will make the user experience really high without much expense. Users can enjoy high graphics games to their own will and all the constraints required for the same will get removed.
Relationship of Behavior with Pre-School Meditation Activitiesof Early Childhood Students, Watjantawanook School, Phitsanulok

Abstract The objectives of this research were 1) to study the behavior, intention, learning of elementary school students. Watjantawanook School, Phitsanulok Province and 2) to study the relationship between behavior, study intent and pre-school concentration development activities of primary school students. The sample is Grade 4 and 5 students in semester 2, academic year 2019, 71 people using questionnaires as a tool for data collection. And descriptive and inferential statistics were used: frequency, percentage, mean, standard deviation, pearson's correlation coefficient and content analysis. The research results were found that the study attentiveness behavior of primary school students was found in the medium level overall. For the side with the highest mean is the attitude of learning in theissue of wanting to study only in the subjects that you like, followed by the motivation for achievement. In memorizingimportant content of the lesson.And the side with the lowest mean is concentration on studying and the relationshipbetween study attentiveness behavior and pre-school attention development activity of primary school students, it wasfound that the study intention behavior of primary school students. Watjantawanook School there was no relationship with the pre-school concentration development activities as a whole. Achievement motivation and the concentration on learning was positively related to the pre-study concentration development activities. Keywords: Relationship, Behavior, Pre-School Meditation Activities, Early Childhood Students, Watjantawanook School, Phitsanulok
Datatype defining rewrite systems for naturals and integers

A datatype defining rewrite system (DDRS) is an algebraic (equational) specification intended to specify a datatype. When interpreting the equations from left-to-right, a DDRS defines a term rewriting system that must be ground-complete. First we define two DDRSs for the ring of integers, each comprising twelve rewrite rules, and prove their ground-completeness. Then we introduce natural number and integer arithmetic specified according to unary view, that is, arithmetic based on a postfix unary append constructor (a form of tallying). Next we specify arithmetic based on two other views: binary and decimal notation. The binary and decimal view have as their characteristic that each normal form resembles common number notation, that is, either a digit, or a string of digits without leading zero, or the negated versions of the latter. Integer arithmetic in binary and decimal notation is based on (postfix) digit append functions. For each view we define a DDRS, and in each case the resulting datatype is a canonical term algebra that extends a corresponding canonical term algebra for natural numbers. Then, for each view, we consider an alternative DDRS based on tree constructors that yields comparable normal forms, which for that view admits expressions that are algorithmically more involved. For all DDRSs considered, ground-completeness is proven.
IMPLEMENTASI KEBIJAKAN PROGRAM WAJIB BELAJAR 9 TAHUN DI KABUPATEN BOGOR (Studi Kasus Kecamatan Cibinong Dan Kecamatan Sukamakmur)

The importance of education for every citizen of Indonesia is to improve the quality of human beings with good character and morals, however, until now the problems regarding education are still not resolved. One of them is that the 9-year Compulsory Education policy is not evenly distributed throughout Indonesia, as happened in Bogor Regency which has guaranteed the implementation of compulsory education in all its regions, but there are still districts that have made the policy a success to date. This study aims to describe or describe the 9 Year Compulsory Education policy implemented in Bogor Regency, especially in Cibinong and Sukamakmur Districts. The method in this research is a descriptive method with a qualitative point of view. Regarding information retrieval techniques that researchers make using interviews, observation and documentation. Actions in data analysis are data reduction, data presentation, drawing conclusions and verification and using the theory of policy implementation from George C. Edward III which includes communication, resources, disposition and bureaucratic structures. The results of this study show that the implementation of the 9-year compulsory education in Bogor Regency is not evenly distributed in every district. This is because the communication carried out to the community is still not optimal, there is still a lack of available resources, and it is not maximized in carrying out tasks and the support of the bureaucratic structure that is still not optimal.
Probabilistic measure of space for neurocryptographic system solutions

The cryptographic key matching can be based on artificial neural network technologies. Kinzel-Kanter protocol uses neural networks (A and B) ability in mutual learning and generating common secret key. This idea was developed (in particular, see. In this report a probabilistic approach that combines network parameters andthe time of their synchronization is analyzed.
E-Learning Pembelajaran Ilustrasi Menggunakan Metode Iconix Process

E-learning is an important advance in the modern education system. While an Illustration is an art of visual on writing artwork, drawing, painting, photography or another type on an art. Most People want to be an illustrator usually must learning their skill basic with self-taught or learning on art of school. However most people specifically for known illustration and want to learn their skill on art school but constrained with distance or time or another reason with their tools art. Until the most people can not got their skill with fast. By looking at this times with the Design Online Learning Of Education On Illustration At Website, which have contain more information and education about illustration and the illustrator can make easier for other to learning or to hone their skill with complete material which is came from most experience illustrator. The design will become a place of sharing content about illustration, it was built with PHP, and DBMS MySql. This research resulted in an e-learning application using Iconix process.