Reviewerly/exHarmony huggingface dataset:
Examining the Use of Personal Pronouns in Political Speeches by Tun Dr. Mahathir and President Trump

Personal pronouns are often used to the point they often get overlooked. Unlike content words, they do not convey meaning but portray the perception of the speaker (Nakaggwe, 2012). Looking deeper into this, personal pronouns have the power to include or exclude a person or people of the subject (Khafaga, 2021), and it is crucial to master them especially in the political context. However, cultural differences exist in the use of personal pronouns since culture affects the way a person communicates and interprets information (Gocheco, 2012). For this reason, this qualitative research attempts to identify the use of personal pronouns, specifically those that demonstrate inclusiveness and exclusiveness, in the collectivistic Malaysian and individualistic American cultures, and compare the similarities and differences in the use of personal pronouns in speeches given by Tun Dr. Mahathir who represents the collectivistic Malaysian culture and Mr. Trump who represents the individualistic American culture. The AntConc software was used to determine the speech profiles and identify the personal pronouns based on the coding schemes and guidelines. It was found that the most popular personal pronoun used in their speeches is we, while the least popular are me and the subject singular you. They was used more frequently by Tun Dr. Mahathir to indirectly address the audience, while Mr. Trump opted to directly convey his message by using the plural you. The results have practical implications for speech writing and political persuasion and negotiation skills.
Pixelated Electromagnetic Surface Design Based on Deep Learning

The application of deep learning in cross-discipline has greatly promoted the development of various industries. The electromagnetic surface design based on deep learning can greatly facilitate the design process. Here we construct the network structure based on the goal-oriented forward design idea, and use the metal patch pattern design task to verify the function of the neural network. In the training process, data preprocessing, autoencoder and matching network are used to connect the S-parameters with the characteristics of the metal patch pattern to realize the metal pattern design based on deep learning.
Analysis of Research Trends in Digital Literacy Using Text Mining - Focusing on the implications of Korean language education -

The purpose of this study is to explore the future direction of the Korean language education by analyzing the research trends of digital literacy in Korea based on text mining techniques. To this end, the period during which the digital literacy study was conducted was divided into a total of three periods, and keyword frequency analysis, centrality analysis, and structural equal satellite analysis were conducted by period. As a result of the analysis, it was confirmed that as digital literacy studies accumulate, the concepts and attributes of digital literacy become clearer and sophisticated, and the scope and depth of discussions on digital literacy intensified, but richer discussions need to be supplemented in the following aspects. First, it is necessary to discuss the identity of digital literacy more clearly, and second, it is necessary to develop evaluation tools for all members of society and discuss level diagnosis based on them. Third, discussions on teacher education and pre-service teacher education for more systematic digital literacy education need to be activated. Through this series of efforts, it is hoped that systematic digital literacy education can ultimately be implemented.
A Study on the Active Reading Writing Learning Method Using Reading Quiz

본 연구의 목적은 대학생 학습자의 적극적인 읽기 유도와 능동적인 쓰기 활동을 위한 학습방안의 모색이다. 이를 위해 학습자 스스로 텍스트를 꼼꼼하게 읽으면서 퀴즈 문제를 만드는 방식을 활용했다. 퀴즈 문제를 내면서 심층적 읽기를 하고 생각쓰기로 사고를 넓힌 후, 텍스트를 재독하며 비판적 쓰기를 하는 활동으로 수업을 진행했다. 학습자들은 퀴즈 문제를 내면서 읽기에 대한 흥미로 텍스트를 끝까지 읽으며 심층적 독서를 경험했다. 때문에텍스트에 대한 자신을 생각을 정리할 수 있었고 비판적 사유를 가지고 주체적인 쓰기 활동으로 나아갈 수 있었다. 학습자의 적극적인 읽기와 능동적인 쓰기의 경험이 본 연구가 이뤄낸 작은 결과이다. 디지털 리터러시 시대에본 연구와 같은 전통적인 읽기 쓰기 학습이 빠른 정보에 익숙한 대학생들에게 적합한 교육일까 하는 의문을 가질수도 있다. 그런데 전통적 읽기 쓰기 교육도 디지털 환경의 문식 활동에 주요한 기초가 될 수 있다고 생각한다.The purpose of this study is to find out the learning methods for the active reading guidanceand active writing activities of university students. To this end, the learner used the method ofmaking quiz problems by carefully reading texts by themselves. After giving the quiz problem, Iwidened my thinking by reading in depth and writing thoughts, and then read the text andwrote it critically. The learners experienced in-depth reading by reading the text to the end with interest in readingwhile making quiz questions. Therefore, I was able to organize my thoughts on text and moveto independent writing activities with critical thinking. This study is a small result of the learners’ active reading and active writing experience. Inthe digital literacy era, it may be questioned whether traditional reading writing learning such asthis study is suitable for college students who are familiar with fast information. However, traditionalreading and writing education can be a major basis for literacy activities in the digital environment.
Introduction

This chapter offers a survey of the language of source study in relation to Shakespeare that initiates the enquiry into the breadth of Shakespeare’s reading, what was available to him, and how these materials find their way into the discourse of source study and thence into the work of the practising early modern dramatist.
Mixture Models

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The extent of the application of self-management in the schools of the General Education Directorate in the Holy Capital from the point of view of school principals

The purpose of this study is to identify the extent of applying self-management at schools of Holy capital Directorate of General Education as perceived by school principles.&#x0D; The study sample consisted of all school at schools of Holy capital Directorate of General Education, during the year 2013/2014, and numbered (305).&#x0D; The researchers prepared &amp; developed a questionnaire consisted of (20) items Tool was developed for the study consisted of (20) paragraph, focused on measuring the possibility of applying self-management in schools. Validity and reliability coefficient were ensured for the tool. The findings of the study were:&#x0D; - The extent of applying self-management at schools of Holy capital Directorate of General Education showed an average degree on the domains (teachers, students), and on the tool as whole, while the domain (educational goals and curriculum) showed a low degree.&#x0D; - There are no statistical significant differences at the significance level of (α = 0.05) on all domains of the the extent of applying self-management at schools perceived by school principles, and on the tool as whole, due to the variables (gender, practical experience).&#x0D; In light of the study findings, the researchers recommend: expansion the culture of self-management among members of the school community and the local community, and the necessity of selecting school principles from educational leaders that believe in the importance of self-management in schools.
Preface

The Fourth International Workshop on Environment and Geoscience (IWEG 2021) was held successfully on 17-19 July 2021 in Hangzhou, China. This year's conference was held as a hybrid conference to avoid international travelling during the COVID-19 situation, delegates could attend the conference in person or online via VooV Meeting.
API Engineering

An API Marketplace is a platform for an organization to share internal services with third-party developers. The Application Programming Interface (API) is the mechanism used to achieve the access. Capability is packaged into different products – for example, to access customer data or to send messages on a GSM network. Much like a real-world Marketplace, this is the rendezvous point between the organization (seller) and third party (buyer) where the products are advertised and consumed.
SentiProdBR: Building Domain-Specific Sentiment Lexicons for the Portuguese Language

Online reviews are readily available on the Web and widely used for decision-making. However, only a few studies on Portuguese sentiment analysis are reported due to the lack of resources including domain-specific sentiment lexical collections. In this paper, we present an effective methodology using probabilities of the Bayes’ Theorem for building a set of lexicons, called SentiProdBR, for 10 different product categories for the Portuguese language. Experimental results indicate that our methodology significantly outperforms several alternative approaches of building domain-specific sentiment lexicons.
DEVELOPMENT OF LEARNING MEDIA USING ADOBE FLASH PLAYER SOFTWARE AND THE ROLE OF SELF EFFICACY TO INCREASE ECONOMIC LEARNING OUTCOMES FOR CLASS X IIS MAN 1 PADANG LAWAS

This study aims to create and develop learning media using Adobe Flash Flayer software in economics class X IIS MAN 1 Padang Lawas which can be used to support learning so as to assist teachers in delivering learning materials. This research is a development research with ADDIE development model. In addition, this study was also conducted to determine the interaction of Self Efficacy with the use of media in improving student learning outcomes. This research was conducted at MAN 1 Padang Lawas. The sampling technique was carried out by cluster random sampling technique. The results of this study are learning media with Adobe Flash Player Software developed that meet the eligibility requirements (valid) to be used as learning media in economics subjects for class X IIS. The product developed, based on an assessment of the media aspect, learning design and material aspects carried out by experts as well as responses or responses from students obtained an average percentage of 86.33% feasibility level so that the conclusion belongs to the "Very Eligible" category. There is an interaction between learning media and Self Efficacy on students' economic learning outcomes.
Conclusion

The conclusion summarizes the importance of an Embedded Endurance cyber risk strategy and the steps you can take to design and implement your own. The Embedded Endurance cyber risk strategy you will build focuses on implementing mitigation measures that include prevention and resilience. The chapter describes how even in an evolving cyber risk landscape, the concepts described in the Embedded Endurance cyber risk strategy will remain foundational. The chapter concludes with “cryptograms” from the future, in which organizational leaders confront the next generation of cyber risk challenges. The cryptograms encourage readers to apply the lessons learned and extend these Embedded Endurance strategy lessons to the future.
A Two-Stage Method Based on Multiobjective Differential Evolution for Gene Selection

Microarray gene expression data provide a prospective way to diagnose disease and classify cancer. However, in bioinformatics, the gene selection problem, i.e., how to select the most informative genes from thousands of genes, remains challenging. This problem is a specific feature selection problem with high-dimensional features and small sample sizes. In this paper, a two-stage method combining a filter feature selection method and a wrapper feature selection method is proposed to solve the gene selection problem. In contrast to common methods, the proposed method models the gene selection problem as a multiobjective optimization problem. Both stages employ the same multiobjective differential evolution (MODE) as the search strategy but incorporate different objective functions. The three objective functions of the filter method are mainly based on mutual information. The two objective functions of the wrapper method are the number of selected features and the classification error of a naive Bayes (NB) classifier. Finally, the performance of the proposed method is tested and analyzed on six benchmark gene expression datasets. The experimental results verified that this paper provides a novel and effective way to solve the gene selection problem by applying a multiobjective optimization algorithm.
Strengthening the Practicality of Teacher Training by Comparing the Practical Test System for Doctor's Licenses

이 연구는 의대 양성과정 및 의사 면허실기시험 분석을 통해 초등교원의 현장성 강화 방안을 탐색하여 초등 임용2차시험의 개선방안을 마련하고자 한다. 가장 대표적인 전통 전문직종인 의사 양성과정 중 현장성에 가장 큰 영향을 미치는 의사면허 실기시험의 특징을 분석함으로써 초등 2차임용시험 개선에 시사점을 도출하고자 한다. 이를 위해 의대 양성과정과 실기시험에 대해 분석하고 의대생, 공중보건의, 임용시험 응시생, 저경력 초등교사, 임용시험 전문가 등을 포함한 9명의 면담자와 심층면담을 수행하였다. 인터뷰를 분석한 결과 의대에서 그렇듯 현장성 강화를 위해 현장경험을 갖춘 교수요원과 실습학교 확보, 교직과목 담당교수들의 실습 참여, 실습 담당 교수와 실습 담당 교사 간의 협력 체제 구축, 예비교사의 실기 역량 강화 및 임용2차시험에서 실기 비중 확대 등이 보완되어야 함을 시사하고 있다. 또한 의대 면허실기시험에서와 같이 임용 2차시험에 대한 구체적 지침을 마련하고 이를 공개하며 2차 시험의 변별력을 높이고, 이에 대한 준비를 위해 교원양성 교육과정 내에서 실습을 강화하고 실습과 교대 내 교육과정 연계를 긴밀하게 구축할 필요가 있음을 시사하고 있다.The purpose of this study is to prepare a plan to improve the 2ndsection of the practical test system for doctor’s licenses. This shall be done by improving elementary school teachers’ by navigating ways to strengthen the usefulness of the teachers through the analysis of medical school training courses. By analyzing the characteristics of the practical doctor s license test, which has the greatest influence on the field ability among the most representative traditional professional doctors training courses, the study intends to derive implications for improving the 2nd appointment test for elementary teachers. To this end, medical school training courses and practical tests were analyzed, and in-depth interviews were conducted with seven interviewees, including medical students, public health doctors, appointment test takers (pre-service teachers), elementary novice teachers, and appointment test experts. As in medical school, the analysis of interviews suggests that securing professors with practical school and field experience, participating in practice by professors in charge of teaching, establishing a cooperative system between professors and teachers, strengthening pre-service teachers practical skills, and expanding the proportion of practical skills should be prepared. It also suggests that it is necessary to strengthen practice within the teacher training curriculum and closely establish links between practice and in-shift curriculum to prepare for the second examination of medical school licenses.
A Study on the Compilation and Revision of The Essential History of China, an Chinese Higher Educations History Textbook

중국사강요 는 중국 대학에서 가장 널리 쓰이고 있는 역사교재다. 본서는 1960년대 처음 출간된 이후, 1994년과 2006년 두 차례에 걸쳐 수정과 보완이 이뤄졌다. 초판은 마르크스적 사회발전단계에 따라 집필되었고, 1994년 수정본도 이러한 관점에서 수정되었다. 한편 2006년 증정본은 기존의 유물사관을 기반으로 편집되었으나, 관련용어는 제한적으로만 사용되고 있고, 목차 또한 마르크스주의적 사회발전단계가 아닌 왕조를 기준으로 구성되어있다. 이는 시대의 변화에 따라 변화고 있는 교육현장의 요구에 발맞춘 것으로, 비교적 자연스러운 변화로 평가할수 있다. 그러나 현재 중국은 중고등학교 역사교과서를 국정화 하였고, 이른바 ‘마공정’과 ‘사사’공정 등의 명목으로 국가가 대학교 역사교재를 편찬하고 있다. 이는 국가가 교육현장의 변화를 통제하는 것으로 기존의 변화와 비교해 봤을 때 상대적으로 부자연스러운 변화라 평가할 수 있을 것이다.The Essential History of China is the most widely used history textbook in Chinese highereducations. Since its first publication in the 1960s, it has been supplemented in 1994 and 2006. The first edition was organized according to the Marxist stage of social development, and the1994 edition was also revised from this point of view. Meanwhile, the 2006 edition was alsocompiled based on the historical materialism, however, terms related to the historical materialismwere used only in a limited way, and the table of contents was also composed based on thedynasty, not the Marxist stage of social development. This is in line with the demands of theeducational field that are changing with the trend of the times, and can be evaluated as aelatively natural change. However, China has decided to change middle and high school historytextbooks to unified textbooks, also compiling universty history textbooks in the name of “Marxisttheoretical research and construction projects”. This is the state’s control of changes in theeducational field, and can be evaluated as a relatively unnatural change compared to the existingchanges.
Comparison of Multi-Objective Evolutionary Algorithms to Prioritize Regression Test Cases

Regression testing is one of the most critical testing activities among software product verification activities. Nevertheless, resources and time constraints could inhibit the execution of a full regression test suite, hence leaving us in confusion on what test cases to run to preserve the high quality of software products. Different techniques can be applied to prioritize test cases in resource-constrained environments, such as manual selection, automated selection, or hybrid approaches. Different Multi-Objective Evolutionary Algorithms (MOEAs) have been used in this domain to find an optimal solution to minimize the cost of executing a regression test suite while obtaining maximum fault detection coverage as if the entire test suite was executed. MOEAs achieve this by selecting set of test cases and determining the order of their execution. In this paper, three Multi Objective Evolutionary Algorithms, namely, NSGA-II, IBEA and MoCell are used to solve test case prioritization problems using the fault detection rate and branch coverage of each test case. The paper intends to find out what’s the most effective algorithm to be used in test cases prioritization problems, and which algorithm is the most efficient one, and finally we examined if changing the fitness function would impose a change in results. Our experiment revealed that NSGA-II is the most effective and efficient MOEA; moreover, we found that changing the fitness function caused a significant reduction in evolution time, although it did not affect the coverage metric.
API Design

Crafting the interface for an API is an activity that can be considered from a number of perspectives. For a Developer, it is fairly trivial as the set of inputs and outputs are well defined and if not, can be easily added later in the process. For an Enterprise Architect, this is a burden akin to Atlas propping up the world on his shoulders as the interface should be well thought through, be reusable by multiple consumers from the present and future, and should be able to withstand any tectonic shifts from the backend provider. For the API Product Owner, the interface should be clean, clear, and easy for Third Parties to consume. Regulators would define an interface which caters for a wide range of consumers which would require sophisticated documentation drawn up by ex-NASA Apollo engineers.
waPC

In Chapter 4 , you saw how wasm-bindgen generates stubs to communicate between JavaScript and Rust-based Wasm and vice versa. However, since wasm-bindgen only allows JavaScript as a host, you must look at approaches that allow interoperability between a Rust-based host and a Golang-based host.
Project 38: Innovative Architectures for High-Performance Computing Systems

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The high-performance computing (HPC) needs of the US government require advances in architectures to support a wide variety of critical missions. Project 38 is a cross-agency effort between the Department of Defense and the Department of Energy exploring architectural enhancements that will provide increased performance and capabilities for future HPC systems. This talk will provide an overview of some of the explorations that have been conducted as part of this effort, their potential impact, and the path forward.
SIKEPUL: Sistem Informasi Untuk Administrasi Transaksi Jual Beli Pengepul Rongsokan Menggunakan Metode Waterfall

Currently collector businessmen are experiencing problems, namely the absence of data collection for suppliers and collapsed transaction activities. In addition, the administrative data collection process is still carried out manually by the admin, , one of which is using notes when making junk transactions and when partners make payments to collectors, there are often communication errors in junk transactions between suppliers and partners often occur. In order to overcome the existing problems, this research proposes the development of a collector administration information system named SIKEPUL using the laravel framework. The method in developing the system used is the waterfall method. The results showed that the SIKEPUL information system could solve the problems faced. The overall results of the questionnaire for 30 respondents were that 20% said it was very good, 52% said it was good, and 28% said it was enough for this system.
Product360: Sentiment and Emotion Detector

This chapter explores sentiment analysis and emotion detection along with text preprocessing and feature engineering methods. Also, we are exploring different machine learning techniques to train classifier models and evaluate using a confusion matrix. In the second half of the chapter, let’s pull real-time data from Twitter, and predict sentiment and emotions to generate insights. Also, we generate a script for automated reporting, which sends reports to a given set of e-mail addresses. This chapter gives you an overall picture of implementing an end-to-end pipeline that provides powerful insights about any product available on the market.
EDI and the Publisher

This presentation covers the issues, benefits and challenges involved in the implementation of appropriate EDI transaction sets and related standards from the point of view of the scholarly publisher. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Analisis Perbandingan Akurasi Algoritma Naïve Bayes Dan C4.5 untuk Klasifikasi Diabetes

Diabetes is a metabolic disease in which blood sugar rises high. If blood sugar is not controlled properly, it can cause a variety of critical diseases, one of which is diabetes. The purpose of this study was to find out the results of comparing the performance values of Naïve Bayes and C4.5 algorithms with 7 different scenarios in the classification of diabetes that will be tested for accuracy, precision, and recall performance. The method used in this study is descriptive, and the source of skunder data obtained from the data of diabetic patients available on Kaggle with the format .csv issued by Ishan Dutta as many as 520 data and 17 fields. The tool used for data analysis is Rapidminer for the process of classification and performance testing of Naïve Bayes algorithm and C4.5 Algorithm. Our results showed that the C4.5 algorithm (scenario 4) had good results in the classification of diabetes compared to Naïve Bayes' algorithm (scenario 2) where the performance of the C4.5 algorithm had an accuracy of 99.03%, precision 100%, and recall 98.18%.