Reviewerly/exHarmony huggingface dataset:
Effectiveness of Online Learning Using Online Media During The Covid-19 Pandemic in Islamic Religious Education Learnings

This study aims to see a strong picture of bold learning using online media during the Covid-19 Pandemic in Islamic Education subjects. This research is a descriptive quantitative study that focuses on evaluating learning using online media. The study population was all students of SMA Negeri 20 Jakarta who was taught in Islamic Education subjects using a bold method. The research sample of students of class XI MIPA 1 SMA Negeri 20 Jakarta was selected using a simple random sampling technique by considering population homogeneity. The data instrument used an online learning questionnaire. Data analysis using descriptive statistics. The results of the study illustrated that the students in the assessment of Islamic Education learning using online media were very effective (23.3%), most of them rated it as effective (46.7%), and the assessment was normal (20%). Although there are also students who think learning is ineffective (10%), and absolutely none (0%) think it is very ineffective. Finally, to improve the quality of learning that dared PAI during the Covid-19 pandemic, educators had to fulfill ten suggestions from respondents, namely: (1) learning was carried out through video calls; (2) providing brief learning materials; (3) minimize sending material in the form of heavy videos to maintain quotas; (4) the selection of material in the video must be based on language criteria that are easily implemented; (5) continue to provide material before the assignment; (6) presents varied and different questions for each student; (7) presenting the assignment must include how it works; (8) assign assignments according to the lesson schedule; (9) remind students if there is a task given; and (10) reducing tasks.
Don’t Call a Spade a Shovel: Crucial Subtleties in the Definition of Fake News and Disinformation

There is considerable agreement that false as well as distorted (or misleading) statements can be 'fake news' or 'disinformation'. What is lacking, to my mind, is an awareness that the difference between these two varieties is critical. European human rights law requires the distinction between false and distorted statements. False statements may, in principle, be regulated, also in a repressive manner; distorted statements generally may not. Non-legal efforts to counter fake news or disinformation, e.g. fact-checking, are likewise harmed by disregarding the difference between false and distorted statements.
The Analysis of Students Writing Error on Spoof Text" (A Case Study at second grade of Islamic Modern Boarding School of MA Daar et-Taqwa Petir, Serang, Banten)

Lia Meilani, 2016, Analysis of Students Writing Error on Spoof Text (A Case Study at second grade of Islamic Modern Boarding School of MA Daar et-Taqwa Petir, Serang, (Undergraduate Research Paper, Department of English Education, Faculty of Education and Teacher Training, the State Institute for Islamic Studies, Sultan Maulana Hasanuddin Banten). Adviser : H. Abdul Muin, S.Ag., M.M and Yayu Heryatun M.Pd.The method of the research is descriptive qualitative as a case study. The participant of this research is the students of Senior High School of MA Daar et Taqwa Islamic, Modern Boarding School, Petir, Serang Banten. The participant of the observation and test of research is 1 class. To get in-depth data, the writer conducts an interview especially to English teacher and 4 students among 21 students of 1 class. This research is conducted in teaching conclution in every statement problem: 1). What erTors of generic structure do students make in their writing spoof text?, 2). What errors of grammatical writing do students make in their writing spoof text?iiiAfter the writer did the research in, she got the result of generic structure error made by students of the second grade students. There are three types of generic structur in writing spoof text such as orientation, event and twist. The error was done in Orientation 0% or no one from students made error. The second error in Event by 10 students or 48 % students made error. And the third error in Twist by 17 students or 81% students made error.Next, she got result of grammar errors made by the second grade students of MA Daar et-Taqwa IMBS in writing spoof text. There writer conducted the grammatical writing into the five categories such as Sentence Pattern, Tense. Pronoun, Preposition, and Spelling and Punctuation. The error was done in Sentence Pattern by 9 students or 43% students made error. The second is errors in Tense by 20 students or 95% students made error. The third is errors in Pronoun by 10 students or 48% students made error. The forth is errors in Preposition by 10 students or 48% students made error and the last is erros in Spelling and Punctuation 19 students or 90% students made error
A Comparative Study of Classifier Algorithms for Recommendation of Banking Products

Currently, the processing and storage capacities of computers have facilitated the handling of large volumes of data. Robust classification models are used by organizations in various sectors, but the algorithms are not efficient with all data sets; in fact, high-volume data can significantly change the most promising algorithms. In this work, a comparative study of classification algorithms was developed; To do this, we use a high-volume data set related to banking products purchases. We selected eight important algorithms from the literature in the first stage, but only five reached a second stage after the tree-based algorithms presented memory overflow problems. The criteria for quality evaluation were based on AUC (Area under the curve) measurements and training and testing time; in this investigation, the MARS algorithm was shown to be slightly superior to SVM in classification quality; while in execution times, both for training and for testing, MARS reached lower times. Both the MARS and SVM algorithms could be used as classifiers in this data set; however, the model construction costs should be considered when fractional construction methods are not used.
An improved under sampling approaches for concept drift and class imblance data streams using PSO and BEE search algorithms

Data Streams are one of the research areas in knowledge discovery from data sources of advance equipments generating huge volumes of data. In data streams two unique dimensions of complexities arise due to Concept Drift and Class imbalance handling. Two solve both the issues simultaneously, in this paper we have proposed a Concept Drift with Class Imbalance Handling Approach using two nature inspired evolutionary searching techniques known as Evolutionary Under Sampling using Particle Swarm Optimization (EUPSO) and Evolutionary Under Sampling using Bee Search (EUBS) algorithm. The key rationale behind the new proposals is to apply optimized search to deal simultaneously both concept drift with class imbalance. The bridging of two separately developed areas of concept drift and class imbalance in data stream learning is well mapped to converge the proposals under unique conditions. The experimental results and evidences suggest that the proposed approaches perform better than the existing ones.
Entrepreneurship, Human Capacity Development and Youth Employment Generation: A Study of Selected Sub-Saharan Africa Countries

This study examined entrepreneurship, human capacity development and youth employment generation in 20 selected sub-Saharan African countries from 2005 to 2017. We employed the fixed effect Panel estimator on the secondary annual data sourced for the study. Findings from the study show that entrepreneurial activities and infrastructural development are important determinants of youth employment generation in the selected countries. The implication of these findings is that entrepreneurial activities and infrastructural development should be of concern to policy makers, and well meaning private individuals as they are observed to be significant determinant of youth employment. More importantly, individual are required to posses refined skills to match the quality of infrastructural facilities in the work place. Therefore, as a matter of policy implication these African Countries should ensure that the conclusion of this study is considered and implemented, and make considerable effort to reduce the large informal sector by putting in place laws and rules that will ensure that the activities of the self-employed people are recognized and accounted for on a large scale.
Cryptocurrency and Privacy - Disruptive Technology Disarray the Laws

Cryptocurrency’s disruptive technology gained significant and growing attention from policymakers across the globe for its increased use by the malicious users to undermine legal controls prescribed under the existing laws and regulations.The technology in the Cryptocurrencies among other technical intricacies includes Data Security involving dimensions such as ‘Integrity’, ‘Non-repudiation’, ‘Authenticity’, ‘Confidentiality’ etc. Data Privacy relates to provision of data control including prevention against data delays or removal and data disclosure. Privacy is related to individual while Cyber security on the other hand is more complex and includes the entire ecosystem.In the background as set above, the present work studies the structure and functionality of Bitcoin - the most popular Cryptocurrency in order to gain an understanding as to how the Cryptocurrency technology works with its players in the given platforms, what are the security and privacy threats involved in such technology. The work gives a glance at various cryptocurrency platforms with brief on technology use. The author opines that answers to some of these questions could be useful to take cognizance of the legal implications such technology creates. The most important thing is to comprehend what the technology can do and Cryptocurrency with its public distributed ledger based on blockchain technology and consensus protocols already made much inroads into financial and legal arena touching the core issues of Individual’s privacy rights and State’s law and financial security policies. The cryptocurrency technology has disrupted the existing laws and regulations calling for a global comprehensive approach from the policymakers. In the conclusion it is opined that technology involved in the cryptocurrency and its insights could be one of the guiding factors to the policymakers to frame effective regulations and control the illicit use of cryptocurrency technology.
Fairness and Observed Communication Semantics for Session-Typed Languages.

Observed communication semantics provide an intuitive notion of equivalence for communicating programs. We give the first observed communication semantics for a session-typed programming language with general recursion. This language, Polarized SILL, also supports channel and code transmission, synchronous and asynchronous communication, and functional programming. We present a framework inspired by testing preorders for defining simulations based on observed communications. We show that the external simulations coincide with barbed precongruence. Polarized SILL is defined using a multiset-rewriting-style substructural operational semantics. To ensure that our observed communication semantics is well-defined, we introduce fairness for multiset rewriting systems. We construct a fair scheduler and we give sufficient conditions for traces to be fair.
CMU Healthy Break,The Web-Base Program for the Nutritional Value Calculating of Thai Snack to Support Healthy Consumption

The objective of this research is development of CMU Healthy Break, a web-base computer program to analyze the nutritional value of snacks. In particular, it underlines the expression of nutrients, including total energy, sugar, fat and salt content. CMU Healthy Break is developed by using PHP language based on web application responsiveness. This system has been connected to MySQL database and all data is backed up on cloud storage. In evaluating the effectiveness of CMU Healthy Break, it was found that the overall effectiveness score was4.65 ± 0.38. This means that the developed system has a very good level of effectiveness. The results of the evaluation of the difficulty of CMU Healthy Break by the user were found that the overall difficulty of the program had an average score of 1.61 ± 0.48, indicating that the CMU Healthy Break was easy to use. The overall satisfaction was the average of 4.74 ± 0.57. The CMU Healthy Break offers practical nutrients evaluation of snacks that are useful in the day-to-day selection of snacks for consumption and various activities.
The practice and the training of text simplification in Italy

This paper reports on a subset of survey data to illustrate the status, the educational and the professional background of the Italian experts in the production of Easy-to-Understand (E2U) content. It opens with a definition of E2U in relation to the established terms Easy-to-Read Language and Plain Language, which are discussed and exemplified through examples in English, and it illustrates the European project EASIT on the implementation of E2U in the audiovisual context. After that, the paper focuses on the Italian situation regarding E2U training and practice as emerged from the answers to a survey of 19 experts. Results show that the Italian situation does not differ substantially from the general European situation as far as the (solid and varied) educational and professional background of the experts is concerned, as well as the still scant training opportunities that are offered and the limited involvement of academia in training. On the other hand, some specificities of the Italian situation do emerge, such as the dominance of theory over practice both in training and on the job, and an unbalanced implementation of E2U content which abounds in the area of education and overlooks other crucial areas of communication. The results of the Italian survey point to the need for more consistent and systematic training as well as to the need for more awareness-rising as far as communicative integration and inclusion through content simplification are concerned.
한·중 영화 비교를 통한 중국인 고급 한국어 학습자 대상 정서 문화 교육 방안 연구 - 와 의 비교를 중심으로-

As the countries influenced by Confucianism in Asia, both Korea and China have similarities in terms of emotion while they have different characteristics. Therefore, even in advanced Korean courses, Chinese students should have to take substantial time and efforts to make emotional communication with Koreans during their communication processes. The purpose of this study is to examine the characteristics of emotion in both cultures based on the comparison between Korean and Chinese movies with the theme of intangible cultural heritage and to integrate them into education in Korean emotional culture for advanced Chinese learners. The subject of analysis selected in this study is the intangible cultural heritage that serves as a medium for Korean movie “Sopyonje” and Chinese movie “Song of the Phoenix”. The finding of this study shows that there are emotions of love(Jeong), fun(Hung), humor(Golgye), and parting as well as ''regret(Han)'' which has been partially highlighted among the basic emotions of Koreans in “Sopyonje”. Among the basic emotions of the Chinese, filial piety, righteousness, virtue, loyalty, and faith were prominently expressed in “Song of Phoenix”. The characteristics were identified by comparing the emotions of the peoples of two nations and then three kinds of chain teaching methods were presented based on each respective analysis.(Kyung Hee University)
LibGuides: English Composition / First Year Writing: Evaluate Sources

A research guide for students in first year writing classes (ENGL 1005A/B,10010, 1050, 2030)
Literasi Membaca Siswa SD Negeri Mangkubumen Kidul 16

The purpose of this research is: 1) describe the reading literacy activities of students in SD Negeri Mangkubumen Kidul 16 Surakarta with various programs, 2) describe the various supporting and inhibiting factors of reading literacy activities, 3) find out the steps in overcoming obstacles. This type of research is a qualitative descriptive case study design. The research subjects were the Principal, Library Officers, Mapel Teachers, Homeroom Teacher, and Students. Data collection techniques used were observation, interviews and documentation, as well as triangulation of sources and techniques for the validity of the data. The results of the study are: (1) reading literacy activities at SD Negeri Mangkubumen Kidul 16 Surakarta, the forms of the program are 15-minute reading programs, class reading corners, writing summary books, telling stories in front of the class, visiting ARPUSDA, posterization, literacy curtains and trees literacy; determinants of policy implementation are communication, funding support, policy actors, and the environment; there are 3 stages of GLS namely habituation, development, and learning with clear indicators. (2) Supporting factors for literacy reading are having an adequate funding budget, having a complete library, having support from parents and community; inhibiting factors in reading literacy are lack of awareness of some teachers, the program is still less innovative, interest in reading is still low. (3) The steps in overcoming obstacles are giving outreach to teachers, conducting new program innovations, increasing the collection of books.
LibGuides: LibAnswers Training Guide for UL Employees: Getting help or sharing a problem

This is a guide for how to use LibAnswers at the CMU University Libraries. The guide includes materials for learning about the system, and our policies for use.
A Quartile Based Novel Approach For The Reduction Of Salt And Pepper Noise

In the modern era, people prefer short and informative data like images over the large texts. In text messages, we are focusing on security of data in a similar way in images along with the security of data the noise in an image is a big issue. Image noise is basically a pixel affected by some false value which may be the cause of misleading the result especially in an object and edge detection in an image. Hence for performing the operation of an object and edge detection in the noisy environment some pre-processing must be required. Noise reduction from an image is active research problem in Digital Image Processing. Gaussian noise, Speckle noise, Poisson noise, Salt and Pepper noise are the most common types of noises in an image. In this paper the authors proposed a quartile based novel noise reduction approach for salt and pepper noise which perform better than the median filter in noisy images having a high density of salt and pepper noise. For experimental result analysis, a qualitative and quantitative comparison is done with the traditionally widely accepted approach for salt and pepper noise i.e median filter, which is considered best for the salt and pepper noise. All experimental analysis is done with the randomly selected images from the MSRA dat-aset (Salient Object images data-set). Noisy images are prepared by mixing the artificial noise using MATLAB with different level of noise density.
Deterministic State-of-Polarization Generation for Polarization-Encoded Optical Communications

This work introduces a theoretical model for electronic polarization controllers (EPCs) based on fiber squeezing. First, a method to calculate the EPC configuration in order to transform between any two states of polarization (SOP) is presented. In a second stage, a technique to deterministically generate four SOPs in polarization-encoded quantum communication systems is proposed. Finally, the effectiveness of the proposed approach is experimentally assessed through the generation of two pairs of orthogonal SOPs. Results show that this polarization generation process is intrinsically stable, which evidences its potential for practical implementations of polarization-encoding quantum protocols, e.g. BB84 or B92 quantum key distribution protocols.
Geoscientific Data a Discovery Publishing Center

The comprehensive dataset of the geological environment in the coastal zone of China obtained as a result of geological survey, is designed according to the overall concept of land-sea coordination to achieve full coverage of relevant disciplines, techniques and methods. The data fall into four categories, namely, comprehensive field surveys, comprehensive field construction, field dynamic monitoring and sample testing. There are total 130 data tables and 177 592 pieces of data, including 9 types of data table and 9 006 pieces of data in the comprehensive field survey category, 68 types of data table and 89 551 pieces of data in the comprehensive field construction category, 28 data table types and 12 305 pieces of data in the field dynamic monitoring category, and 25 data table types and 66 730 pieces of data in the sample testing category. This dataset provides efficient and accurate data services for the unified management of coastal natural resources, spatial planning of territory, use control, ecological protection and restoration.
5 Genetic Algorithm

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.
COVID-19 Lymphocyte Morphology – A Very Sensitive Parameter in Diagnosing COVID-19 from Peripheral Blood Smear

laboratory for complete hemogram, were studied over a period of 1 month in August 2020. The lymphocyte morphology in SARS-2 is very characteristic, unlike other viral infections. Based on this morphology, RT-PCR for COVID-19 was advised, the results for which were positive. Hence, this has proved to be a very sensitive and specific parameter in detecting COVID-19. This is the first paper showing correlation between atypical lymphocytes (Covicytes/Virocytes) with positive RT-PCR.