Reviewerly/exHarmony huggingface dataset:
매체 속 다문화 한국어교육 프로그램의 실제와 개발 방향 - EBS 두리안의 한국어배움터를 중심으로-

The present study is to introduce the specific contents of 11 programs and Korean lists from Korean language learning center by EBS Durian which is open and support for multicultural Korean education, and to clarify its characteristics. The Korean list, which supports Korean language education programs for multicultural immigrant women and children in Korea.These programs can be divided into Korean language education for adults(K-POP Korean, Easy to Learn Korean, Hello Korean, Screen Korean, Using Correct Korean, Korean Language and Writing), cultural exchange education(Eolsoo! Korean Show and Cooking Show with Korean), Korean education for the multicultural children(Hangul Train Chipo, Hangul Yaho, Hangul Friend Aracha). The programs on Korean language education consist of the way of verifying and practicing Korean vocabulary and expression, and introduces or makes Korean clothing and food in cultural exchange program. The Hangul learning program consists of activities such as Hangul consonants and vowels learning, vocabulary practice, and making sentences using vocabulary.The characteristics of education contents from these programs include multiculturalism, interest, and authenticity. Multiculturalism can be found in performers, cultural contents, and educational language. Interest was found in media utilization, format, character, activity, and authenticity appeared in educational vocabulary and activities. Based on this, it suggests the direction for the development of multicultural Korean education program using the media with proposing the equal multicultural contents, actively using scenes and voices, securing diversity of media types, formatting contents with a high level of authenticity, constructing the sustainable education contents, and establishing the bilateral programs.
THE EFFECT OF KNOWLEDGE ABOUT ECONOMIC COMMUNITY ON PERFORMANCE OF VIETNAMESE SMALL AND MEDIUM ENTERPRISES

The paper investigates the effect of small and medium enterprisesÂ (SMEs) level of the Association of the South East Asian Nations (ASEAN) Economic Community (AEC) knowledge on attitudes, readiness, and performance. Questionnaire for collecting data from 150 SMEs in Hanoi, Vietnam. AECÂs implementation only has a small impact on improving SME performance. The results show that SMEs have adequate knowledge, attitude, and readiness about AEC. The structural modeling findings indicate that the knowledge factor has an indirect effect on SMEsÂ performance. Both the roles of attitude and readiness are needed to mediate the effect of knowledge on SMEsÂ performance.
LibGuides: Off Campus/Remote Library Access: Free COVID-19 Research

This guide is intended to be a quick, helpful place to answer basic questions about Library Resources -- and how you can access them off campus. Resources that have recently been made open access, in response to the COVID-19 pandemic, are found here.
Developing Good Governance through Strengthening Literacy Skills from Schools to Organizational Management: The Case of Indonesia

Purpose: The main issue in this study is the poor public organizational management in Indonesia due to the low quality of governance literacy skills among school graduates. Such a situation is caused by the weak and conventional public administration methods used by most public managers across the country, hence calling for improved approaches that can only be created through research. Design/methodology/approach: In the present study, the authors have tried to establish a better way of teaching good governance by strengthening literacy skills at the school level. The current research applied an approach and development design, with the research respondents from selected local administration offices with varying characteristics from around Bandung city. It has been established that developing good governance through strengthening literacy skills among school graduates improves the management of the organization's competence, both public and private. Findings: The model generated through this research is a learning model of literacy reading oriented to the development process and learning outcomes. Under the conditions of its final form, the model developed has some differences with other models that have been developed by experts in several previous studies. Practical implications: The model gives a positive contribution to the improvement of the reading literacy skills of elementary school students. Originality/Value: The proposed model is a solution to improve the students' habits and students' skills in reading comprehension in a variety of text types, either in scientific, social, and mathematical texts.
Students' Perception toward the Use of Deductive and Inductive Approaches in Teaching English Grammar.

This study investigated the perception of students of the use of deductive and inductive learning approaches. The subject of thestudy involved a program named PIBA (Program Intensifikasi Bahasa Asing) in UIN Alauddin, Makassar where 2 Englishclasses were purposively taken as samples to be treated using deductive and inductive approaches in teaching grammar withintegrative skills. The research method employed was mixed method with quantitative and qualitative data taken from thecontrol and experimental classes using an ARCS (Attention, Relevance, Confidence, Satisfaction) motivational modelquestionnaire, with in depth interviews and classroom observations utilized as research instruments. Based on the questionnaireand interviews, students gave positive perceptions on both learning approaches.
Oak Creek-Franklin schools to begin 2020-21 year virtually; return to in-person learning possible

The Oak Creek-Franklin Joint School District's school board on Thursday voted to begin the upcoming year with virtual learning, adopting a phased approach to reopening.
Belief, Probability and Plausibility

There are many situations in our lives where we need to make decisions and act under uncertainty. Although probability theory may be viewed as a standard approach to modeling uncertainty, there are situations where it is not the best approach to representing information. With the aim of filling this gap, over the past decades, various generalizations and alternatives have been developed for probability theory.
FACTOR AFFECTING TURNOVER INTENTION OF THREE-STAR HOTELS IN VIETNAM

For the time-being, turnover has become one of the most common problems that affect all sizes, types, and levels of organizations. In any organization, particularly the department of human resource management, employee turnover is regarded as a critical matter. Past studies indicated the lack of available studies on turnover intention involving a three-star hotel industry in Thanhhoa province-Vietnam. Therefore, this study aimed at investigating the determining factors that made the employees of three-star hotel industry in Vietnam changes their jobs. A total of 810 valid responses from the samples were obtained. For this purpose, a convenience sampling technique of a three-star hotel staff in this study was adapted. A self-administered distribution technique of questionnaires was adopted as the data collection instrument for the study. The data were then analyzed using the SPSS software version 24. The findings revealed that organization commitment has strongly influenced the turnover intention of staff at a three-star hotel in Thanhhoa province -Vietnam.
Joint string complexity for Markov sources: Small data matters

String complexity is defined as the cardinality of a set of all distinct words (factors) of a given string. For two strings, we introduce the joint string complexity as the cardinality of a set of words that are common to both strings. String complexity finds a number of applications from capturing the richness of a language to finding similarities between two genome sequences. In this paper we analyze the joint string complexity when both strings are generated by Markov sources. We prove that the joint string complexity grows linearly (in terms of the string lengths) when both sources are statistically indistinguishable and sublinearly when sources are statistically distinguishable. Precise analysis of the joint string complexity requires subtle singularity analysis and saddle point method over infinity many saddle points leading to novel oscillatory phenomena with single and double periodicities. To overcome these challenges, we apply analytic techniques such as multivariate generating functions, multivariate depoissonization and Mellin transform, spectral matrix analysis, and complex asymptotic methods.
A Study on the Aspects of Online Writing and Educational Methods of University Students

University students recognize online writing as a means of communication and do more online writing activities than offline. Online writing obscures the distinction between the author of writing and the inmate who reads it, given that it enables immediate interaction. As a result, two-way communication functions are strengthened rather than one-way communication.<BR> Online writing also reflects the characteristics of online writing. In analog writing, logical, systematic, and complete writing is a good writing. However, online writing is aimed at effectively conveying one
Moving Image Tracing Simulation of the Irregular-shaped Object by MDI Method

We carried out a study on medical diagnosis automation by ultrasound B-mode video. The video current doctor is using. Our study aims to devise a quantitative evaluation method that monitors the degree of activity in the body, especially the small intestine. We believe that the moving image tracking technology can indicate the degree of activity. However, the object reflected in the ultrasonic moving image does not exhibit a contour pattern, and the magnitude varies dramatically. Objects of irregular shape, such as the shapes and patterns of an object by such time changes cannot be tracked using existing technology. The present study developed a computational method for tracking the moving image of such an object, and performed a simulation. In the calculation, we used the theory of "multidimensional directed amount of information".
Syntactic Image Pattern Recognition

This chapter describes string grammers for pattern description/analysis. It describes syntactic pattern recognition procedures, including parsing, error-correcting parsing, and sentence-to-sentence clustering techniques. The chapter describes two-dimensional grammars for image patterns. In machine recognition of image patterns and shapes, features are extracted and subject to statistical analysis; or primitives are selected and subject to syntax analysis. The former is called the statistical or decision-theoretic approach, and the latter is called the syntactic or structural approach, The statistical or decision-theoretic approach is the traditional approach to pattern recognition that has been studied since the 1960s. Depending on the image pattern, different segmentation or decomposition processes can be applied. Once the primitives are extracted, they are represented symbolically using a string or a sentence, or other pattern representation languages.
INFLUENCER MARKETING – PERSUASION OF THE FOLLOWERS

The mechanism by which influencer marketing has emerged as a concept is far from new. In the world of advertising, where almost every minute the people are faced with an advertisement, people are becoming more immune to the traditional promotions. Influencer marketing is an excellent alternative for this issue, where the entities formulate and publish the message themselves. Due to the fact that opinion leaders may appear accessible in the eyes of followers, associating a brand with positively evaluated opinion leaders results a positive attitude toward the brand. There are factors which establish a fruitful cooperation between the parties, but they are hard to recognise, and even the researchers have different standpoint, for example with the number of the followers. However, a fallible image, the brand-influencer fit, attractiveness can surely strengthen the effectiveness. And surprisingly it does not necessarily lead to a negative perception of the opinion leader if followers recognize that their post contains advertisement.
투사 의미의 본질과 분류

Projection has been extensively used as a diagnostic for presupposition, but many utterance classes generate projection even if they do not have standard features of presupposition. The essential property of all projective meanings is that they are not-at-issue, characterized as a connection to the question under discussion. Tonhauser et al.(2013) propose to classify projective content based on two criteria: (i) whether they are subject to the strong contextual felicity (SCF) constraint, i.e., whether they must have been part of the interlocutors’ common ground prior to the utterance, and (ii) whether they have the obligatory local effect (OLE), i.e., whether their projection is necessarily filtered by a belief predicate. Instead of OLE, I propose the independence as a better criterion: a projective content p of a sentence S is independent from the at-issue content of S iff p''s truth or falsity has no effect on the at-issue content of S. The Potts’ CIs share with the prejacent of only and the polar implications of approximatives the feature of logical independence from the at-issue content. In addition, it seems sensible to assume that projective meanings and their classifying criteria display a gradience, with some projecting much more than others.
UPFLOW model prediction of capillary rise into root zone soil moisture for shallow water table soils of Obio Akpa river floodplain in the Niger-Delta environment, Nigeria.

UPFLOW model was used to provide assessments of capillary rise into root zone soil moisture in shallow water table soils of Obio Akpa river floodplain using drum-culture lysimeters. Soil moisture depletion experiment was undertaken through the use of drums with bases intact and drums with bases removed and sunk in the field at different depths during the dry period with no rainfall and no irrigation. UPFLOW model was validated by comparing simulated capillary soil moisture values from a falling water table with gravimetrically observed data from 0 – 500, 500-1000 and, 1000-1500 mm water table  depth in sandy loam and sandy clay soils. Simulated runs mimic the observed fluctuations and trend of capillary rise to the root zone. The statistical pointers of simulation performance showed that good inter-relation exists between observed and simulated vales for both sandy loam and sandy clay soils respectively. The index of agreement, d (0.9989 and 0.9948) shows a good performance of the model for both sandy loam and sandy clay soils respectively. Model efficiency value of about 99.75 and 99.48 % for both the sandy loam and sandy clay soils respectively indicate that the performance of UPFLOW model in simulating capillary rise is satisfactory. Hence, UPFLOW can be used with confidence in simulating capillary rise to the root zone in Obio Akpa, Nigeria.
Continuity of Preschool and Primary School Education (to the Problem Statement)

The article explores the problem of ensuring continuity between preschool education and primary school education. The approaches to the&#x0D; interpretation of the concept of “continuity” are considered. The main directions for the implementation of continuity are identified, which relate&#x0D; to the content, forms and methods of organizing the educational activities of preschoolers and elementary school students. The continuity of&#x0D; preschool and primary school education is presented as a unity of its components such as target, substantive and organizational-activity
ENGLISH LEARNING AT ISLAMIC BOARDING SCHOOL (AN ETHNOGRAPHY RESEARCH IN DARUNNAJAH ISLAMIC BOARDING SCHOOL JAKARTA)

The objective of the research is deeply to understand the English learning process outside of the classroom in Darunnajah Islamic Boarding School Jakarta. It was a qualitative research with an ethnography method by Spradley. The data were collected by using interview, participant observation, and documentation study. The data analysis and interpretation indicates that the instructional objectives, learning materials development, the learning activities plan, learning activities, the role of teacher, the role of students, and evaluation at English Learning process at Darunnajah Islamic Boarding School Jakarta. The results showed (1) the instructional objectives of English learning at Darunnajah Islamic Boarding School Jakarta support the English Learning objectives in the classroom and make students be able to master the four language skills, Listening, Speaking, Reading, and Writing, (2) the development of learning materials based on the needs and context of the students, (3) the learning activities plan based on the syllabus, (4) the learning activities are integrated learning, (5) the English Learning at Darunnajah Islamic Boarding School Jakarta make teachers act as a motivators, facilitators, participators, evaluators, controllers, corrector, and counselors, (6) the students become active, creative and bold to use English as their language of everyday life, (6) the learning evaluation was carried out by written tests, oral tests, observation, rating scales, and check list. Â  Keywords: English Learning, Darunnajah Islamic Boarding School Jakarta, thnography
De-Centralized Cloud Data Storage for Privacy-Preserving of Data Using Fog

The cloud storage technology gets a massive growth in development and attraction with respect to the growth of unstructured data (Fu et al., Trans Inf Forensics Sec 12(8):1874–1884, 2017 [11]). There are chances of privacy leakage risks for face detection and data control rights can be lost due to this schema (Dinh et al., Wirel Commun Mob Comput 13(18):1587–1611, 2013 [2]). A Three-Layer Approach is designed in order to store and access the data in a secure manner from the cloud server. The fog server concept is integrated for the current cloud in which the data can be stored on multiple nodes rather than in a single storage medium. The data gets partitioned into a number of blocks where each block’s encryption standard is monitored by the data owner (Feng, A data privacy protection scheme of cloud storage 14(12):174–176, 2015 [5, 14]). Once if any data user tries to access the file, he needs to request the file access from the cloud server, where the users can view the file in a decrypted manner and for the remaining, the data cannot be viewed in a plain text manner.
PEMODELAN POISSON RIDGE REGRESSION (PRR) PADA BANYAK KEMATIAN BAYI DI JAWA TENGAH

The decline of infant mortality is one of the targets of the Indonesian government in the health sector, including the Government of Central Java. To achieve this goal, it is necessary to identify factors that affect many infant mortalities in the district/city of Central Java. Infant mortalities are count data, so Poisson regression is commonly used. The data in the study showed the existence of multicollinearity in several predictor variables, so an appropriate model was needed. Poisson Ridge Regression (PRR) is a Poisson modeling that accommodates multicollinearity. In this study, the PRR model was used to model infant mortality in Central Java district/city. The results showed that the parameter estimation of the PRR model was slightly different than the estimated Poisson regression model. Modeling infant mortality with the PRR model, out of five predictor variables, three variables harmed many infant deaths, while the other two variables had a positive effect on many infant deaths.
LibGuides: Website Research: Evaluating Example Websites

Content adapted from the guide Website Research by Rebecca Hill Renirie, Central Michigan University Libraries, retrieved from https://libguides.cmich.edu/web_research
QUIC Disable Encryption

The disable_1rtt_encryption transport parameter can be used tonegotiate the disablement of encryption on 1-RTT packets, allowing forreduced CPU load and improved performance. This extension is onlymeant to be used in environments where both endpoints completely trustthe path between themselves; not, for instance, on the open internet.
Personalized Recommendation Algorithm For Social Network Based On Two-dimensional Correlation

In order to recommend friends in a real sense based on the personalised needs of users. A personalised recommendation algorithm based on two-dimensional correlation (FRBOT) was proposed for social network. In the proposed model, the interest similarity and trust relationship among users were combined with probability matrix decomposition to analyse the potential factor characteristics of the same preferences of selected trust users and target users. Compared with general matrix decomposition algorithm and personalised recommendation method based on user trust, the algorithm has evident advantages and can improve user satisfaction. The experimental results show that the performance of the proposed friend recommendation method is significantly improved compared with that of the existing friend recommendation methods.
ML BASED MODEL FOR PHISHING WEBSITE DETECTION

Phishing is a malicious attempt to get some sensitive information from users like passwords, ATM pin, username,debit/credit card details, etc by hiding themselves as a trustworthy agent. Phishing is usually done through email,phones, by creating fake websites and via text message to steal someone‟s information. Phishing is considered ascybercrime in today‟s world because it can lead to financial loss and theft. In this work, the system aims to achieve amodel to detect whether a website is phish or legitimate using machine learning algorithms like Logistic Regression,Support Vector Machine (SVM) and using ensemble learning technique  Random Forest to train the algorithm.Dataset contains 11k rows, 30 features and one target variable. To test the training model, system is using featureextraction technique to extract 26 features using web scrapping, python, regex, parsing technique, socketprogramming, Selenium and using few python libraries to get information about SSL certificate. Random forest isgiving the best accuracy of 97.27%. The obtain result shows the potential of transfer learning in the field of cybersecurity, especially in phishing analysis
Consistency Preserving Development of Embedded Systems Using AADL

Architecture Analysis and Design Language (AADL) supports consistence modeling and several analyses in designing of real-time systems. Additional features supporting modeling and analysis is proposed in the paper. The concept is based on automatic translation of AADL components into Colored Petri Net (CPN) models. The translated model may be verified using CPN tools, and also checking satisfability of requirements (described using temporal logic) in the model. The proposed extension supports detection of structural errors in early development stages.