Reviewerly/exHarmony huggingface dataset:
THE IMPLEMENTATION OF CONTEXTUAL TEACHING LEARNING APPROACH IN TEACHING READING COMPREHENSION TO ANALYTICAL EXPOSITION TEXT

English is a language that is found in all fields of Education, which makes English as a language skill that must be mastered by students.  There are four skills in learning English namely; reading, writing, speaking and listening. Reading comprehension is one of the skills which is important to develop by all learners because by reading people can improve their knowledge. The problems were the students had poor vocabulary. The researcher applies (CTL) Contextual Teaching Learning approach, to help students understand English-language reading. The objectives of this research entitled “the implementation of contextual teaching-learning approach in teaching reading comprehension to analytical exposition text” was to found out the implementation of the scenario and the students' responses in teaching-learning reading comprehension. This study used descriptive qualitative as a research design. The subject of this research was the grade XI of students’ senior high school in Cimahi consisted of 20 students. The results of this research showed CTL was successfully implemented based on scenarios prepared by the researchers. Using CTL was able to improve students' motivation in learning reading comprehension. It was expressed by students and teachers in the observation sheets and questionnaires. Keywords :  Contextual Teaching Learning (CTL), Reading comprehension, Analytical exposition.
차기 국가 교육과정에서의 환경교육 강화전략 마련을 위한 기초 연구: 환경교육 내용 분석틀 개발을 중심으로

To establish a strategy for strengthening environmental education in the next national curriculum, it is first necessary to analyze its status in the existing curriculum. This study aims to develop a framework for content analysis of environmental education, which will provide a starting point to investigate how well the national curriculum incorporates it. For this purpose, environmental education was treated in a extended sense, including “environmental and sustainable development education,” and environmental education toward sustainability. To develop a framework for the analysis of environmental education content, a variety of pertinent sources was consulted. These included the domestic curriculum for middle and high schools in Korea, the OECD Learning Framework (OECD, 2018), the Sustainability Framework of Australia (DEWHA, 2010), and the Environmental Literacy Framework for NAAEE (Hollweg et al., 2011). The framework thus developed consists of four categories of environmental knowledge: environmental values and attitudes, environmental competence, and environmental practices and participation. These categories are considered to interact actively rather than existing in isolation from each other. The framework for environmental education content analysis in this study is characterized by an emphasis on environmental practices and participation, with a series of enabling processes suggested as sub-categories. Using this framework to analyze the contents of environmental education in the curriculum or textbooks will provide meaningful insights on the kinds of environmental education conducted in schools, and the contents and methods which might supplement it in future.
MONITORING OF SOME DISASTER AREAS IN INDONESIA USING ARCVIEW 3.3: MONITORING OF SOME DISASTER AREAS IN INDONESIA USING ARCVIEW 3.3

The results of research using Arcview 3.3 disaster mapping to provide information on handling and anticipating handling. Paramater coordinates area map format.shp region, district. Then select the hazard zone in the disaster area. Data reading is inputted by the view and layout menu. The reading of the map image is seen as the color slice of the Resolution Dataseet display. There are data overlay scoring equations for calculation of parameters. Combined maps are given average percentage weighting according to hazard areas. The data at the trackng point is in the form of a digital image in the form of an interpolated earth form on the attribute.
Fulfillment of The Needs of Aini’s Character in Andrea Hirata's Novel of Orang-Orang Biasa (Study of Abraham Maslow's Humanistic Psychology)

Abstract. This research focuses on analyzing the forms of efforts to meet the level of needs of Aini’s  character in Andrea Hirata's Novel Orang-Orang Biasa using the humanistic psychology study of Abraham Maslow. The variables of this research are the forms of efforts to fulfill needs which consist of five levels including physiological needs, the need for security, the need for love and affection, the need for esteem and the need for self-actualization. These levels will determine the success of a person's actualization. This research is a qualitative descriptive study and data collection is done by using library techniques. The results showed that the character Aini was able to reach the stage of self-actualization even though the other needs under her were not fulfilled optimally, namely the need for security was not fulfilled. Aini's character has been able to reach her full potential and contribute to others and her environment. This proves that in order to reach the stage of self-actualization, the characters in Andrea Hirata's Novel Orang-Orang Asli do not have to fulfill these five levels of need. The Aini character can actualize himself because of a large motivation with him. Keywords : psychological, figure, humanistic needs
일본어교육 활성화를 위한 문학의 필요성 및 교육방안 ―2015 개정 교육과정 고등학교 『일본어I』을 중심으로―

This study proposed a method of literary education to revitalize Japanese language education and realize educational goals by examining the characteristics of cultural content and the necessity of a method of literature, focusing on the high school “Japanese Language I” of the 2015 revised curriculum. As a result of analyzing the four “Japanese I” textbooks that currently occupy a high proportion, various cultural contents are introduced according to the instructions in the second foreign language curriculum, but literature depicting society and humanity is not dealt with. Literature has an aspect that serves as a tool to convey a strong message of life to people while depicting Japanese society and Japanese people trying to overcome the times of disasters. In addition, the power of literature cannot be underestimated in the background of Japan’s growth as a cultural powerhouse. Therefore, it can be said that it is necessary to introduce literature into the cultural column of textbooks in order to achieve the educational goal of cultivating the qualities and attitudes that can “contribute to the creation of new culture” and build “global citizenship”. Therefore, in this study, as examples of introducing literature into textbooks, three specific methods were proposed, nemely connecting Japanese entertainment content with literature by combining Japanese literature with the cultural content in existing textbooks, combining Japanese entertainment contents and literature, and independently presenting literature.
A critical review of mobile learning: phoenix, zombie or …..?

© (in press) The Author. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: [DOI/weblink]
Impact of Exports and Foreign Direct Investment on Gross Domestic Product in Sub-Sahara Africa

ABSTRACTBhagwati developed a hypothesis that expected economic growth (EG) enhancing impact of exports (EXP) and foreign direct investment (FDI) interaction. This paper checks the validity of the Bhagwati hypothesis by examining the moderation and mediation effect of EXP in the relationship between FDI and Gross domestic product for Sub Sahara Africa countries (SSA) during 2018 period. To achieve the article purpose, normality test, robust regression, and causal analysis using bootstrapping procedure were performed using R programming environment. The correlation results revealed a strong correlation between FDI-EXP-GDP. The coefficient of the robust regression of the interaction term of EXP and FDI was found positive, and statistically significant. The result of the mediation analysis showed that indirect relationship of FDI was found positive and significant whereas direct relationship was not significant. The results are consistent with the previous studies, theory, and Bhagwati hypothesis. Theorical and practical implications were presented.
Detection and Attribution of Synthetically Generated Deepfake Imagery

AI-generated deepfake images are a fast-growing challenge in media forensics, but conventional methods of recognising them are now inadequate and inappropriate. Identification and verification of synthetic image sources should be pursued in an open-world setting subject to scrutiny. Through analysis and exposure of model fingerprints, my research can advance progress towards practicable deepfake attribution.
Automatic Processing of Historical Japanese Mathematics (Wasan) Documents

“Wasan” is the collective name given to a set of mathematical texts written in Japan in the Edo period (1603–1867). These documents represent a unique type of mathematics and amalgamate the mathematical knowledge of a time and place where major advances where reached. Due to these facts, Wasan documents are considered to be of great historical and cultural significance. This paper presents a fully automatic algorithmic process to first detect the kanji characters in Wasan documents and subsequently classify them using deep learning networks. We pay special attention to the results concerning one particular kanji character, the “ima” kanji, as it is of special importance for the interpretation of Wasan documents. As our database is made up of manual scans of real historical documents, it presents scanning artifacts in the form of image noise and page misalignment. First, we use two preprocessing steps to ameliorate these artifacts. Then we use three different blob detector algorithms to determine what parts of each image belong to kanji Characters. Finally, we use five deep learning networks to classify the detected kanji. All the steps of the pipeline are thoroughly evaluated, and several options are compared for the kanji detection and classification steps. As ancient kanji database are rare and often include relatively few images, we explore the possibility of using modern kanji databases for kanji classification. Experiments are run on a dataset containing 100 Wasan book pages. We compare the performance of three blob detector algorithms for kanji detection obtaining 79.60% success rate with 7.88% false positive detections. Furthermore, we study the performance of five well-known deep learning networks and obtain 99.75% classification accuracy for modern kanji and 90.4% for classical kanji. Finally, our full pipeline obtains 95% correct detection and classification of the “ima” kanji with 3% False positives.
SPEECH RECOGNITION WITH DEEP LEARNING

Speech recognition is the field of science involving the enablement of machines to accept voice information from humans and understanding it with the greatest likelihood of correctness. There are many methods to apply speech recognition models. One of the new approaches is utilizing neural networks with deep learning for speech recognition using a convolutional neural network(CNN). It is well recognized for its applicability to image recognition. Yet, another primary application of the technology is in speech recognition, such as Apple Siri, Microsoft Cortana, Google Assistant, Amazon Alexa. CNN eliminates spectral differences and predicts spectral associations found in the signals. This paper will collect online voice data, and noise elimination on the voice data and data should be filtered for more process Then, the filtered voice data is then passed into the CNN model and trained through different layers. After this, the trained model is checked for consistency, validity, accuracy, and then the trained data is checked with test data to validate the test accuracy of a given Model.
ENHANCED APPROACH FOR SOIL CLASSIFICATION USING BOOSTED C5.0 DECISION TREE ALGORITHM

Data mining includes the utilization of erudite data analysis tools to discover previously unidentified, suitable patterns and relationships in enormous data sets. Data mining tools can incorporate statistical models, machine learning methods such as neural networks or decision trees, and mathematical algorithms. As a result data mining comprises of more process. This performs analysis and prediction than collecting and managing data. The main objective of data mining is to identify valid, potentially useful, novel and understandable correlations and patterns in existing data. Finding and analyzing useful patterns in data is known by different names (e.g., knowledge extraction, information discovery, information harvesting, data archaeology, and data pattern processing). The term data mining is basically utilized by statisticians, database researchers, and the business communities.
SENECA: An Attention Support Tool for Context-related Content Learning

In this paper, we suggest SENECA, a tool that attempts to assist students who follow remote classes in maintaining/capturing attention, allowing them to focus on context-driven learning.Distance education has a number of disadvantages, including a lack of physical interaction between students and teachers, emotional and motivational isolation as a result of this strategy, and a reduction in active engagement.All of these things have an impact on student learning abilities.The largest distractions at home are considered among these disadvantages of distant education, particularly for subjects with low awareness.These distractions cause a movement of the student's attention from the current lesson to disturbing events.For this reason, there is a need to experiment with new solutions also linked to Information Technology (IT) to improve the focused learning during distance education.Our tool's technical idea is to create a real-time summary of the topic treated by the teacher.The system captures the text every five minutes, generates outlines, and browses them to eliminate repetitive portions after each survey.We looked at two different sorts of filters, semantic and summary, to see if the first could distinguish between topics and the second could evaluate the topic's highlights.Natural Language Processing algorithms are used to extract categories and keywords from the general generated summary.The latter will emphasize the most important points of the speech, while the keywords will be utilized to extract the candidate literature about the discussed topics.
Information systems, people and support structures: A critical realist analysis of a COVID-19 contact tracing centre

Contact tracing is used to identify individuals who have been in close contact with any person who has a presumed or confirmed COVID-19 infection. This paper examines one particular contact tracing centre established in Ireland between March-June 2020. We leverage a critical realist-based philosophical framework and associated methodology to seek the generative mechanisms that determined how this contact tracing centre evolved over its lifetime. Drawing on 14 semi-structured interviews, we hypothesise a total of three mechanisms: the motivation and altruistic nature of superusers and other volunteers;the information systems and communications infrastructure built around the contact tracing centre;and, the training and associated support structures provided to volunteers. Our research suggests that attention should be focussed on developing highly flexible information systems and the identification of superusers as project champions. A significant contribution of this work is providing clear operational guidance for establishing contact tracing centres in Ireland and globally. © AMCIS 2021.
Compression on the Twisted Jacobi Intersection

Formulas for doubling, differential addition and point recovery after compression were given for many standard models of elliptic curves, and allow for scalar multiplication after compression using the Montgomery ladder algorithm and point recovery on a curve after this multiplication. In this paper we give such formulas for the twisted Jacobi intersection au2 + v2 = 1, bu2 + w2 = 1. To our knowledge such formulas were not given for this model or for the Jacobi intersection. In projective coordinates these formulas have cost 2M +2S +6D for doubling and 5M + 2S + 6D for differential addition, where M; S; D are multiplication, squaring and multiplication by constants in a field, respectively, choosing suitable curve parameters cost of D may be small.
Foundations in Cloud Computing

Cloud computing was a mystery for a long time, but nowadays, it is our reality. Over the last few years, many companies, from start-ups to the enterprise-scale companies, moved their business to the cloud. However, the cloud is not magical by itself and will not perform the company’s digital transformation without change in the mindset of its leaders. When compared to the traditional on-premises IT infrastructure, the cloud is a bit different. In the market all around the world, there is a high demand for cloud administrators, but the required skills and mindset are different in comparison with those of traditional IT administrators. This book will help those who want to become cloud administrators for Microsoft Azure or want to improve their cloud administration and automation skills.
Integrasi Sistem Pencegahan Penyebaran Covid 19 Pada Masa New Normal

Some important things that still have to be done when new normal for newspapers are at the entrance to the workplace, take temperature measurements using a thermogun, and before entering work, a Covid-19 Risk Self-Assessment is implemented to ensure that workers who will enter work are not infected with Covid- 19. Provide hand washing facilities (soap and running water). Then provide instructions for the location of the hand washing facilities. Then put up educational posters on how to wash hands properly. Given the importance of knowing body temperature and washing hands against the symptoms of the spread of the corona virus, this community service will create a system that integrates tools to support office activities during the new normal period. The integration of the system which will provide a device to record body temperature, a hand washer and a hand dryer, all work automatically
Poster Presentation for: "Probing the nature of roots through language contact"

This poster was presented on 2021 April 8 - 11 at the meeting of the West Coast Conference on Formal Linguistics.Provided abstract:Data from language contact support the following view of roots:• Roots are devoid of categorical information• Roots merge with (overt or covert) categorizers in the syntax• The realization of roots and their functional vocabulary as identified in work on language mixing informs theories of what a word is, how it is built, and how concepts are lexicalized across languagesFor inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.eduThis item is part of the 39th West Coast Conference on Formal Linguistics ReDATA Collection.
Beyond Visualization: Designing Experiences with Data. An Interview with Professor Paolo Ciuccarelli (Density Design Lab)

How visualizations are created? How data becomes meaningful? What does it mean that visualizations are knowledge tools? What is the design practice of a research lab in visualization? Professor Paolo Ciuccarelli talks in this interview about the ten years of experience of DensityDesign, a research lab at Politecnico di Milano devoted to the visual representation of complexity through the production of diagrams that offer visual narratives and analytics of social, organizational, and urban phenomena. Through examples and reflections, Ciuccarelli analyses the role of data visualization in current design practice, pointing out some insights on how, and mostly why, visualizations are devices for cognitive exploration of complex phenomena.
Curricula and methods on teaching different aspects of agile software development

Agile methodologies are the most commonly used software development methodologies nowadays. For this reason, education of software engineering should include this topic at universities. However, the educational method of this topic has still open questions. Higher education lacks traditional curricula and methods in teaching agile software development. Agile methodologies are based on collaboration and interaction. For this reason, high level teaching of agile methodologies requires not only teaching of theory and practice, but also development of soft skills and of an appropriate set of values. We need to find teaching methods that can develop students in all four aspects: theory, practice, skills, values. This article presents methods for developing all four aspects of agile methodologies. In addition, by describing five different course curricula, it proves these methods can be effectively incorporated into classic university courses.
Another Alternative to Reduce the Unemployment: Formalization of Informal Sector Entrepreneurship in Djibouti

The main aim of this paper is to provide a harmonization of the classification of economic activities in Djibouti based on international classification of economic activities. For this, the paper uses the data reported by Djibouti National security Fund (DNSF) and Djibouti Chamber of Commerce (DCC). The harmonized classification allows to give better visibility when it comes creating jobs for business sector and will also help single desk service.&nbsp; The new classification allows to establish a comparison between the informal and formal economics activities. We also estimate the employment created in the informal sector using this new approach. According to our new approach, there are at least 178 enterprises in the informal sector and at least 790 employments in the informal sector. These informal employments can move to 790 formal employments. In the preceding work, we provided a classification of unemployed people and classified economic activities belong in the illegal sector. Then, we estimated there are at least 15670 employment opportunities which allows to reduce the unemployment of order 6¨%. This contribution allows to lower unemployment in Djibouti and provide useful guidance for policy makers in the Republic of Djibouti.
Role Of Ai-induced Chatbot in Enhancing Customer Relationship Management in the Banking Industry

Customers are less satisfied with the prompt services provided by the banks. They also feel that guidance to use the bank’s products and services is not adequately explained. When they ask for information or report any issues, the process is not easy. On the other hand, handling millions of customers with limited bank employees is a tedious process. The bank employees are also exhausted to answer to the same repetitive questions for a long time. The customers are comfortable with the answers, and the bank employees are also tired of the same routine of giving the same answers to different customers. This unpleasant situation will weaken the relationship between the banks and the customers. This paper will discuss how AI-induced chatbots improve customer interaction and how chatbots play an essential role in customer relationship management in the banking industry. The AI-induced chatbot certainly enhances the customer relationship with the banks.