Reviewerly/exHarmony huggingface dataset:
Digital Identity and Teachers’ Roles: A Post-COVID-19 Vision

While the digital identity of our students and their technology related behaviour tells as much about themselves and the way they learn, we seem to ignore this valuable information to create good practices. At the same time, we do not use technology in the same way in our everyday life and in our role as teachers. In addition, the netbooks in our classrooms are not generating any real change in teaching or learning. Network society calls for a new role for EFL teachers – that of designers of ecosystems of learning, where the English class is everywhere and at any time, rather to have technology in the classroom. The design of these ecosystems demands both a teacher with a critical view on technology and Knowledge Society, and a learning design that not only aims at language competence of the items stated in a syllabus, but also competence development for long-life learning that helps learners overcome the cognitive divide poor teaching with technology in education creates.
LibGuides: U.S. Congressional Serial Set via HeinOnline: Search Tips and Tricks

Based on the stellar guide created by Tara Kibler at HeinOnline. Tips and tricks for searching within HeinOnline's Serial Set.
Item Analysis of English Summative Test at The Eleventh Grade Students of SMA Negeri 9 Kota Jambi City Academic Year 2018/2019

Summative test is method of evaluation performed at the end of a unit that allows a teacher to measure a student's understanding, typically against standardized criteria. Therefore, to measure students' comprehension of the material learned, the item analysis of summative test is necessary. The research is aimed to find out the level of English Summative Test items for the eleventh grade students of SMAN 9 Kota Jambi 2018/2019. This research is categorized as quantitative method. The researcher took one class XI IPA 1 which consisted 32 members of student. The total number of the test is 40 items. This research is supported by ANATES 4.0 and Manual Counting to analyze item test. Based on item analysis and discussion, the reseacher found that the difficult item was six items ( 15% ) with the test numbers are 3, 6, 8, 26, 27, 29. Secondly, medium item was nineteen items (47,5%) with the test numbers are 1, 4, 5, 7, 10, 11, 15, 20, 23, 25, 31, 32, 33, 34, 35, 37, 38, 39, 40. The last, the easy item was fifteen items ( 37,5%) with the test numbers are 2, 9, 12, 13, 14,16, 17, 18, 19, 21, 22, 24, 28, 30, 36. Most of the items were categorized as medium interpretation, and only a few in easy and difficult interpretation. It concluded that the total index level of the test is 0,59. Therefore, the summative test is categorized in medium level. The researcher concludes that the English summative test for eleventh grade at SMAN 9 Kota Jambi is not well enough yet and it has quite difficulties as well. Keywords : Item Analysis, English Summative Test.
Sentiment analysis - A literature review

Sentiment Analysis (SA) or Opinion Mining (OM) is the field of study for a broader topic of Natural Language Processing. SA seeks to understand people's opinions, feelings, assessments, attitudes and emotions through text to generate knowledge and relevant information on a particular subject, in the business world with a greater focus on understanding the evaluation of products. We can often resume to an interpretation of attitude behind the text whether it is positive, negative or neutral. The growing importance of SA coincides with the growth of social networks, opinions, criticism, forum discussions, and blogs, among others. With this exponential evolution of data has arisen the need to apply SA in almost all social and commercial domains, because opinions are key in almost all activities and are one of the influencing factors in human and social behaviors, beliefs and perceptions of our own choices. As the opinion is one of the main influencing factors in the people's choice has made the spectrum of analysis broader for organizations making this a very relevant topic these days. This paper revealed that although there some advances for algorithms, techniques and frameworks to help SA implementations there is still a gap towards identifying benefits for business applications.
Research Output and Citation Impact of CSIR-National Geophysical Research Institute, Hyderabad, India (2010-2019): A Scientometric Analysis

This paper analyses the different scientometric parameters to emphasize the publication growth of CSIR-National Geophysical Research Institute, Hyderabad. The data was analysed by various aspects of research output based on Web of Science  database for the study period 2010-2019. The study identified a total of 1465 publications which were published on Earth Science subject domain by CSIR-NGRI during the study period 2010-2019. The data is analysed by different scientometric parameters, i.e. Annual distributions of publications, country-wise contribution of articles, annual growth, relative growth rate (RGR) and doubling time, most preferred national/International journals, most productive research areas, prolific authors, Impact factor of Journals, and highly cited articles and citation analysis for the period 2010-2019. The study observes that the scientific community of CSIR-NGRI have to increase the productive output year by year and select the journals which are having the high impact factor for publication and disseminating the results.
A Methodology for Customer Core Requirement Analysis by Using Text Mining : Focused on Chinese Online Cosmetics Market

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.
EVALUASI KEPUASAN PENGGUNAAN SISTEM INFORMASI MANAJEMEN DI INSTALASI FARMASI RUMAH SAKIT UMUM DAERAH KOTA MAKASSAR

SIMRS is a communication information technology system that processes and integrates the entire flow of hospital services in the form of a network of coordination, reporting and administrative procedures to obtain information precisely and accurately, and is part of the Health Information System. SIMFAR is a system used for collecting, processing, reporting, and collecting pharmaceutical documents or records. This research is included in descriptive research. Data obtained from questionnaires to employees at the Pharmacy Installation at RSUD Kota Makassar. The research variables studied were user satisfaction with ease, relevance, timeliness, auditability, and reliability of the Pharmacy Management Information System in RSUD Kota Makassar. Data collected from the results of the questionnaire were then analyzed using qualitative analysis. The results of this study stated that the satisfaction of users of Management Information Systems in RSUD Kota Makassar was included in the moderate category. Average user satisfaction ranges from 91% seen from 5 variables.
Perpetrators profiling based on victims atributes using logistic regression model / Siti Nurfatihah Mohamad Azman, Nor Emiliya Fatin Amberi and Nur Farah Amira Mustappa Kamal

Nowadays people always read about criminal such as raping, killing, robbery and othersespecially among people who are have relationship with offender. Murder or rape isone of common criminal that people often heard in news because these numbers ofcases are increase every day. In order to solve the crime, forensic department and policewill cope together. Additionally, there is a lack of research about victims and offenderrelationship when it comes to solving the crime and not all mathematical method cangive the absolute answer to calculate the perpetrators profiling. The objectives of thisresearch are to calculate the probability ofrelationship between victims and offender ofthe murder cases using Logistic Regression Model and to the determined whether themodel is suitable to be used to analyze the data. In this research, there are two types oflogistic regression that are use which are binomial and multinomial. For the binomial,there are two categories of dependent variable only and four categories of dependentvariables for multinomial regression. The result from shows that the R 2 the model isless than 60 percent. Even though the R2 is not significant but there are a few tests thatare significant such as Omnibus and Wald test. Therefore, this method is still valid touse to analyse the data set. For the recommendation data can be analyze by using othermodel such as Association Rule Mining (ARM) because ARM is one of the models thatcan show the relationship between data items and large data set in various type ofdatabase.
Loma Linda University Libraries: Mobile Printing: Chrome Print

Details the various methods available for printing from mobile devices. Instructions for printing using Chrome extension for Pharos Printing.
Is Your Utility Leaking More Than Just Water?

Journal AWWAVolume 113, Issue 6 p. 85-87 Security & Preparedness Is Your Utility Leaking More Than Just Water? Joel Cox, Search for more papers by this authorAndrew Ohrt, Corresponding Author aohrt@westyost.com Search for more papers by this authorSarah Walsh, Search for more papers by this authorBailey Bartolucci, Corresponding Author manalo_christian@bah.com Search for more papers by this author Joel Cox, Search for more papers by this authorAndrew Ohrt, Corresponding Author aohrt@westyost.com Search for more papers by this authorSarah Walsh, Search for more papers by this authorBailey Bartolucci, Corresponding Author manalo_christian@bah.com Search for more papers by this author First published: 02 July 2021 https://doi.org/10.1002/awwa.1752Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume113, Issue6July/August 2021Pages 85-87 RelatedInformation
Pop-Up Luggage / Nur Zakirah Syuhada Mohd Zamri

Across Malaysia, there is a lot of competition in luggage production as the number of leisure travelers rise over the year. Pop-Up Luggage is one of the innovations made on existing luggage by transform the suitcase into three composite shelves in less than a minute. This will ease the user to pick their belongings during travel without need to arrange back in the closet. In addition, the product is using multi-technologies which consists of 2 port of Universal Serial Bus (USB) charger, Global Positioning System (GPS) location tracker, and Transportation Security Administration (TSA) approves lock that are convenient to be used and provides a high degree of satisfaction to the user. The target market is focusing only among youth age and traveller around Seremban area as they are looking for suitcase that ease to grab all of their belongings without make it messy. Pop-Up Luggage has different function from others since it is more attractive and provide with great technologies that help to overcome the problem faced by the users. Most of the existence luggage are not provide with technologies compared to this product. There is a variety of marketing used in promoting the product to achieve the company target. With this opportunity, channel through online and offline are used in selling this product. Therefore, this product has an advantage in competing with other companies in the market. The price is also reasonable because the use of materials in the manufacture of the product are high in quality and thus allows for high profitability. Hence, the sales of the product expected to increase in the first three years as demand increases. The management team that helps to run the business smoothly consist of several divisions and is led by a general manager to achieve the company’s vision, mission and objectives.
Archer Library: Library - Research Resources: Home: Publishing Support

Created for the new faculty orientation, but can be used by anyone conducting research at the University of Regina! Outlines resources and services provided by the Library to support researchers with publishing their research.
IMPROVING ENGLISH SPEAKING SKILL OF STEC FUNCTIONARIES THROUGH ENGLISH AREA

The purpose of this study was to find out how the application of the English area in IAIN Kudus where the aim of the English Area is improving English speaking skills. This program is carried out by one of the organizations at IAIN Kudus that called STEC (Student English Club), an organization oriented in English. The implementation of the English Area is because in learning languages, an effective method to actually use it is only through habituation. Therefore, the English Area is one of the objects of research on how to learn language habits to improve speaking skills effectively.
Case Study : Air Terjun Laundry / Aisyah Wahyuna Salleh

Based on research, Air Terjun Laundry already has many services offered. But, to increase the customer appeal, Air Terjun laundry should provide extra services such as iron service for the customer. A working man is most likely to use this service because men often have difficulty preparing their working suit. An expensive Iron Philips is suitable to use for this service because it worth a shop that needs a lot of clothes ironing. Air Terjun Laundry could also sell detergent and softener in bottles for customers so that they don’t need to buy in packs every time they want additional detergent
ERROR ANALYSIS OF EFL STUDENTS’ ABILITY IN USING SUBJECT-VERB AGREEMENT

This study aimed  to analyze the EFL students’ ability in using Subject-Verb Agreement. The researcher used some types of subject-verb agreement to analyze the understanding of EFL learners in using subject-verb agreement, those are: Singular/Plural, Neither/Either, Collective Nouns, Indefinite Pronoun, Preposition Phrases, There “be’ and Fractional Expression (Counting). This research employed a descriptive qualitative method. The participants of research was the second semester students of STKIP Bina Bangsa  Getsempena that consist of 19 students. The instruments of collecting the data used in this study were the list of questions, questionnaire and interview. The objectives of this research were to know the type of subject-verb agreement errors that were produced by the students, reasons of the students produced errors in using subject-verb agreement and lecturer’s perception towards the students understanding in using Subject-Verb Agreement. The result revealed that the students are still low of the understanding in using subject-verb agreement, difficult to differentiate subject/verb of singular and plural, lack of practicing and online learning impact to students’ process on students learning. The ability of the EFL students in using subject-verb agreement was also showed by the result of the list of questions. Almost all the students produced the errors in answering the list of questions. The dominant errors that students produced are Either/Either, Prepostition Phrases and Indefinite Pronoun.
Featurized Density Ratio Estimation

Density ratio estimation serves as an important technique in the unsupervised machine learning toolbox. However, such ratios are difficult to estimate for complex, high-dimensional data, particularly when the densities of interest are sufficiently different. In our work, we propose to leverage an invertible generative model to map the two distributions into a common feature space prior to estimation. This featurization brings the densities closer together in latent space, sidestepping pathological scenarios where the learned density ratios in input space can be arbitrarily inaccurate. At the same time, the invertibility of our feature map guarantees that the ratios computed in feature space are equivalent to those in input space. Empirically, we demonstrate the efficacy of our approach in a variety of downstream tasks that require access to accurate density ratios such as mutual information estimation, targeted sampling in deep generative models, and classification with data augmentation.
USING TWITTER TO ANALYZE INITIATIVES OF A STARTUP COMPANY: THE CASE OF EMPOWERING WOMEN IN CAREEM.

Public opinions are significant to almost any organization, companies, and governments, in which such entities are aware of the significance of utilizing the unstructured data in the social networks, and it has become a growing research area lately. Twitter, as a microblogging platform, represents a significant source of public opinions that is easily accessible. In the business domain, the previous research efforts in analyzing startups activities through Twitter analysis are generally limited, especially for the Arabic language. In the Twitter analysis filed, there is a lack of a twitter-based analytics framework that combines different analysis methods to utilize the Twitter dataset better. This thesis study aims to fill the literature research gaps by proposing a Twitter analytics-based framework called Startup Initiatives Response Analysis (SIRA). SIRA assesses the performance of an initiative taken by startup using text classification, sentiment analysis, and statistical analysis techniques. The proposed framework is validated empirically through a case study of Arabic startup (i.e., Careem), regarding the initiative of empowering women to work in the Careem. The study experiment was carried out based on using supervised machine learning (SML) in building the subject and sentiment classification models. As well, the classification models are evaluated through a comparative analysis in terms of examining a variety of machine learning (ML) classifiers, and various levels of preprocessing techniques to improve the performance of Arabic text mining. The study experiment yielded the following results: for both two Arabic classification models, Complement Naive Bayes (CNB) achieved a higher F1 measure with applying text cleaning and normalization as text preprocessing techniques. While the Neural Network (NN) classifier achieved the highest F1 measure for the binary classification model of the English dataset, and the Random Forest (RF) classifier outperformed other classifiers for the sentiment classification model of the English dataset. In contrast, based on the classified dataset, several statistical analyses were conducted and presented (e.g., Tweets Reply frequency, the temporal distribution of Tweets). The experiment results analysis confirms the effectiveness of such a framework in delivering valuable insights regarding the public responsiveness, based on a comprehensive qualitative and quantitative analysis of the Twitter dataset. The proposed framework (SIRA), is applicable as a Twitter-based analytics framework in any domain and for any purpose. One of the future work recommendations is validating the proposed framework with other experiments of different datasets.
PENGARUH MODEL COMPLETE SENTENCE TERHADAP KEMAMPUAN MENGANALISIS UNSUR-UNSUR CERPEN SISWA KELAS XI SMA NURUL AMALIYAH TANJUNG MORAWA T.P 2020 – 2021

The Effect of Complete Sentence Model on Ability to Analyze Short Story Elements for Class XI Students of SMA Nurul Amaliyah Tanjung Morawa TP 2020 – 2021. The complete sentences learning model is a simple and easy method in which students learn, using the available answer keys in completing incomplete paragraphs, and students will play an active role in this learning process. The purpose of this study was to obtain differences in the complete sentences and learning models and model conventional did not reach the highest score of 85.  After using the model of the complete sentence, it increased to 95. Based on these results, it can be concluded that learning using the model is more effective because students are more motivated in participating in teaching and learning activities. Keywords: complete sentences, short stories, students
시대별로 살펴본 『걸리버 여행기(Gulliver''s Travels)』 원본 곁텍스트와 번역본 곁텍스트의 비교

This study examined the source and target paratexts of Gulliver’s Travels with an aim to show how paratexts are structured or restructured through translation. The study assumed that the structuring of paratexts may be different depending on when the target texts were produced. The source text used for this study was the London edition of Gulliver’s Travels published in 1726. The 6 Korean translations selected for the analysis include the first unabridged translation published in 1975 and the first single edition that came out in 1987. According to the findings of the study, the source paratext was used as a site for providing background information about the main text such as how the work was published and the author’s intent of writing the work among others. The elements of source paratext were mostly preserved in the target texts supplementing the context of the source text. In more recent translations published after 2000 new elements such as illustrations were added to complement readers’ text reading. In conclusion, it can be said that paratext is actively used in mediating the gap between the source and target text world not only by preserving the source paratext but also restructuring or adding new elements in the target texts.
LibGuides: EGL 101 - David Jakalski - Fall 2021: Find a Topic

This libguide assists students in Prof. Jakalski's EGL 101 class, familiarizing them with the library's resources and offering MLA 8 citation information and supports.
EUROPEAN PROJECTS MOTIVATE DESIGN THINKING APPROACHES IN HIGHER EDUCATION CURRICULAR UNITS

1 CITUR, School of Tourism and Maritime Technology, Polytechnic of Leiria (PORTUGAL)2 MARE, School of Tourism and Maritime Technology, Polytechnic of Leiria (PORTUGAL)
A Study on the Direction of Development of Online Learning Contents for Korean Language and Culture Education Using Hallyu Contents

The purpose of this study is to examine the current status of the development of online learning contents for Korean language and culture education using the Korean wave (Hallyu) contents, and to propose the direction of development. In order to achieve this purpose, this study examines the current status of research on Korean language and culture education using Hallyu contents through an analysis of prior research. Also, this study investigates the current status of the development of online teaching-learning contents for Korean language and culture education, and drew implications for the development of teaching-learning contents. In addition, this study conducted a needs analysis on Hallyu contents for foreign learners and teachers with experience in Korean language education abroad. This study is of significance in that it selected the Hallyu contents for the development of Korean language and culture online teaching-learning contents based on the results of analysis from various angles and suggested the method and direction of developing learning materials for Korean language and culture.