Reviewerly/exHarmony huggingface dataset:
The Use of Reading Strategies by Struggling English Language Learners

Active readers use several approaches to comprehend what they read before, during, and after reading. These readers use their previous experience or information to reflect about the subject, guess the text meaning and apply their skimming and scanning skills to predict the overall meaning. However, for a struggling English language learner (ELL) applying this skill may pose as a real challenge especially when the text level becomes more difficult and they are interpreting unfamiliar texts. One of the factors that may contribute to this problem is the absence of reading strategies. Hence, in this study, five 12-years old ELLs from a School in Johor Bahru were involved to record their usage of reading strategies before and after the reading strategy instructions. The study incorporates the quantitative design and the data collected was analysed using SPSS 16. ELLs answered a set of questionnaires from an adapted survey of reading strategies (SORS) developed by Mokhtari &amp; Reichard (2002). The findings showed that despites their struggling in reading, these learners were able to apply some reading strategies to help them in reading English texts and marked differences in the frequency of reading strategies used at the end of the reading instruction in comparison to the early stage of the study.
Preface: The 1st Siliwangi International Conference on Innovation in Research 2018 (SICIR)

We are proud to present to you The 1 st Siliwangi International Conference on Innovation in Research 2018, located in HARRIS Hotel &amp; Conventions, Bandung on 14 August 2018. This conference covers a wide range of innovations in the field of education and renewable engineering. Innovations in the field of education include the problems of teaching and learning as well as the solution. Engineering field includes the discovery and development of renewable technologies. SICIR 2018, organized by Directorate of Research and Community Service (LP2M) of Universitas Siliwangi (UNSIL) and managed by JP Global Transtech. The objectives of this conference are to disseminate the research results of researchers in University and R &amp; D Institutions and to improve collaboration between researchers with community education and engineering. There were 4 plenary speakers, 121 scientific participants from countries like Indonesia, Malaysia, and Japan, contributing to the success of the conference. The articles were considered under 8 categories, Agrotechnology, Education, Energy, Health Care, Health Care Engineering, Instrumentation &amp; control and Information Technology, Materials, and Regional Development. On behalf of the organizing committee, we would like to thanks Rector of Universitas Siliwangi, advisory committee, participants for supporting of this scientific meeting. We would also like to thank all the members of the organizing committee, it is a pride to be able to work with all of you. Corresponding Editors Prof. Dr. Eng. Aripin Prof. Dr. Eng. I Made Joni Prof. Dr. Eng. Camellia Panatarani Assoc. Prof. Dr. Supratman
Analysis and visualization of the evolution of mineral discoveries, their distribution and naming process

The paper presents the proceedings of the data analysis of Nickel-Strunz classes, 13 name origins of minerals, country, and time of their discovery to enrich our knowledge of the 14 evolution of mineral discoveries, their spatial distribution, and naming tendencies during different 15 periods.The data on the mineral name origins were classified into several categories and arranged in 16 decreasing order of mineral counts as follows: "Person" (33% of minerals), "Chemistry" (29%), 17 "Locality" (19%), "Language" (>9%), and "Others" (>9%).Based on the dynamic of mineral 18 discovery, three principal periods were identified: 1) Ancient period (up to 1800) of irregular 19
The RoboESL Project

In this article, the authors summarize the development of the first half of curricula designed for the RoboESL project. They then give some more details about the second half of curricula. Through development, the authors adopted LEGO Mindstorms EV3 as an educational robotic platform, the curricula can be adapted to other platforms after some possible simplifications. Having a clear overall perspective of the project, one section of the paper is devoted to providing a comprehensive analysis and some remarks on the expected outcomes.
Exploratory Data Analysis on Breast Cancer Prognosis

Breast cancer prognosis is a vital element of providing effective treatment for breast cancer patients. Breast cancer prediction survivability has mainly been studied based on pathological factors such as tumor size, tumor grade, number of positive lymph nodes, and hormone receptors among others. This chapter looks at the significance of the non-clinical prognostic factors of age, ethnicity, and marital status in finding the prognosis for breast cancer patients. The National Cancer Institute's SEER data and the Howard University Cancer Center Tumor Registry data are analyzed. Prognostic tool NPI (Nottingham Prognostic Index) and survival analysis tools of Cox proportional hazards and Kaplan-Meier survival curve are used in analyzing the experiments. The results suggest that age, ethnicity, and marital status have some influence on the survivability rate of breast cancer patients.
Web Server Hacking

Organizational web servers reflect the public image of an organization and serve web pages/information to organizational clients via web browsers using HTTP protocol. Some of the web server software may contain web applications that enable users to perform high-level tasks, such as querying a database and delivering the output through the web server to the client browser as an HTML file. Hackers always try to exploit the different vulnerabilities or flaws existing in web servers and web applications, which can pose a big threat for an organization. This chapter provides the importance of protecting web servers and applications along with the different tools used for analyzing the security of web servers and web applications. The chapter also introduces different web attacks that are carried out by an attacker either to gain illegal access to the web server data or reduce the availability of web services. The web server attacks includes denial of service (DOS) attacks, buffer overflow exploits, website defacement with sql injection (SQLi) attacks, cross site scripting (XSS) attacks, remote file inclusion (RFI) attacks, directory traversal attacks, phishing attacks, brute force attacks, source code disclosure attacks, session hijacking, parameter form tampering, man-in-the-middle (MITM) attacks, HTTP response splitting attacks, cross-site request forgery (XSRF), lightweight directory access protocol (LDAP) attacks, and hidden field manipulation attacks. The chapter explains different web server and web application testing tools and vulnerability scanners including Nikto, BurpSuite, Paros, IBM AppScan, Fortify, Accunetix, and ZAP. Finally, the chapter also discusses countermeasures to be implemented while designing any web application for any organization in order to reduce the risk.
Customizing Caustics

Caustics show up in contexts ranging from rainbows and water surfaces to light refracted through drinking glasses, but, despite their attractive propagation features, have rarely been artificially generated or exploited as basic entities for structured-light fabrication. We recently developed a general approach to design, customize and fabricate structured caustic light with arbitrary transverse shapes.
Study Algorithms which Assessed Quality of the Blurred Images

No-reference measurement of blurring artifacts in images is a difficult problem in image quality assessment field.In this paper, we present a no-reference blur metric to measure the quality of the images.These images are degraded using Gaussian blurring.Suggestion method depends on developing the Mean of Locally Standard deviation and Mean of the image (MLSD) model, this method is called Blur Quality Metric (BQM) and it calculates from numerical integral of the function in this model.And the BQM is compared with the No-reference Perceptual Blur Metrics (PBM) and the Entropy of the First Derivative (EFD) Image; the BQM is a simple metric and gives good accuracy in metrics the quality for the Gaussian blurred image if it compared with another algorithms.
Kidding Bot: A Chatbot against Harassing Phone Calls

Nowadays, the majority of mobile phone users suffer from harassment calls.However, traditional way to intercept the harassment calls cannot reduce this annoying behavior.In this paper, we designed and developed Kidding bot: a chatbot to counterwork the harassment calls.When the user received the harassment calls, he could connect our Kidding bot server by call forwarding, then Kidding bot starts to talk with the harassers.Kidding bot is combined with Turing chatbot and a dual encoder specially added in sequence to sequence model.The anti-harassment telephone test result shows that Kidding bot based our model performed better than the two baselines: a single Turing chatbot and a chatbot based on Sequence-to-Sequence model.
An Improved User Authentication Model for Mobile Application Systems: Statistical Assessment of User Acceptance

One of the reasons mobile phones become one of the worldwide commonly usedcommunication devices nowadays is because they allow the installation of various mobile apps which are mostly interesting and useful to mobiles users. Unfortunately, mobile apps involve transmissions of digital data wirelessly and vulnerable to hacking activities. An improved user authentication modelhas been introduced in this study. Its strength in preventing hacking activities and the level of user acceptance are being analyzed. The strength is built based on the multi-factoring, ciphering and watermarking techniques being introduced in the model. It is technically measured based on the vulnerability and penetration tests done by an appointed independent party but excluded in this paper. On the other hand, the level of acceptance is measured using a quantitative method. Even though the quantitative method in this study undergoes expert review, pilot study and survey, this paper only focuses on the survey since its outcome is used to conclude the level of acceptance by mobile users. The statistical analysis results indicate that mobile users perceive ciphering technique contributes the most to this strength while watermarking technique has the strongest relationshipsandbecome the dominant factor in making the model acceptable by users.
A document similarity approach using grammatical linkages with graph databases

Document similarity had become essential in many applications such as document retrieval, recommendation systems, plagiarism checker, etc. Many similarity evaluation approaches rely on word-based document representation, because it is very fast. But these approaches are not accurate when documents with different language and vocabulary are used. When graph representation is used for documents they use some relational knowledge which is not feasible in many applications because of expensive graph operations. In this work a novel approach for document similarity computation which utilises verbal intent has been developed. This improves the similarity by increasing the number of linkages using verbs between two documents. Graph databases were used for faster performance. The performance of the system is evaluated using various metrics like cosine similarity, jaccard similarity and dice with different review datasets. The verbal intent-based approach has registered promising results based on the links between two documents.
Biotechnology Risk Assessment Research Grants Program (USDA)

Federal Grants & ContractsVolume 45, Issue 4 p. 7-8 Grants Alerts Biotechnology Risk Assessment Research Grants Program (USDA) First published: 15 January 2021 https://doi.org/10.1002/fgc.31525Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue421 January 2021Pages 7-8 RelatedInformation
Images-to-images person ReID without temporal linking

This paper addresses images-to-images person re-identification (ReID) in which there are multiple images for each individual on both gallery and probe. Most existing approaches that try to extract/learn features require temporal linking between frames. This paper proposes a novel framework to overcome this requirement by formulating images-to-images person re-identification as a fusion function of image-to-images. First, a ranked list of candidates corresponding to each query image is determined. Then, these lists are fused to determine the matched person. The contributions of the paper are two-fold: 1) an extra feature [Gaussian of Gaussian (GOG)] is used for representing person; 2) new images-to images scheme that does not require temporal linking and features the benefit of image-to-images scheme is proposed. Extensive experiments on CAVIAR4REID (cases A and B) and RAiD datasets prove the effectiveness of the framework. The proposed scheme obtains +20.88%, +10.23%, and +10.39% improvement in rank-1 over image-to-images scheme on these datasets.
The Effects of Economic Education Activities based on the integrated Approach on young children's economic concept: Focusing on Market Play

본 연구는 시장놀이를 중심으로 한 통합적 경제교육활동이 유아의 경제개념 형성에 미치는 효과를 알아보고자 만 5세 유아 96명(실험집단 44명과 비교집단 44명)을 대상으로 총 14회기의 프로그램을 적용하였다. 본 연구를 위하여 실험집단에게는 시장놀이 중심의 경제교육활동을 전개하였고, 비교집단에게는 생활주제 중심 누리과정에 기반하여 일반적 활동을 전개하였다. 실험 전ㆍ후 유아의 경제기본개념을 알아보기 위하여 수집된 자료는 SPSS 23.0 프로그램을 이용해서 집단별 사전검사 점수를 공변인으로 하여 공변량 분석(ANCOVA)을 실시하였다. 연구결과, 시장놀이 중심의 경제교육활동을 경험한 실험집단이 비교집단보다 경제기본개념의 하위요소 7개-희소성과 선택ㆍ기회비용, 소비, 상품과 서비스, 화폐, 직업과 일, 가격과 교환, 시장-개념 획득에 있어 모두 긍정적인 영향을 미치는 것으로 나타났다. 이와 같은 결과는 유아교육현장에서 적용이 가능한 유아경제교육활동을 제시하였다는 점에서 의미가 있다.The purpose of this study was to investigate the effect of integrated economic education activities on children’s economic concept formation. The subjects of this study were 96 children (44 children for experimental group, 44 children for comparison group) in the 5-year-old young children. For this study, economic education activities centered on market play were developed for the experimental group, and general activities were developed for the comparative group based on Nuri-curriculum. The data were collected by SPSS 23.0 program and analyzed by covariance analysis ANCOVA) using covariance test. As a result of the study, experimental groups that experienced economic education activities centered on market play all had a positive effect on promoting basic economic concept(scarcity, choice, opportunity cost, consumption, goods and services, currency, occupation and work, price and exchange, market) than comparative group. This result is significant in that it presents the activities of early childhood economic education which can be applied in the field of early childhood education.
Graph Data

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Increased bone conducted vibration reduces motion sickness in automated vehicles

Motion sickness is common within many forms of transport; it affects most of the population who experience some symptoms at some time. Automated vehicles (AV) offer productivity benefits but also increased incidence of motion sickness. There are mitigation methods with varying degrees of effectiveness to combating motion sickness. Bone conductive vibration (BCV) applied to the head is a proven motion sickness mitigation. It is not known if the level of vibration is important. Twenty-nine participants were subjected to normal urban driving whilst undertaking a 'gaze down' non-driving related task (NDRT) within an AV cabin whilst wearing the BCV device. High and low vibration settings were randomly chosen as were the seating positions in a between participants design. Twenty-five participants successfully completed the experiment. It was found that when the device is applied to the head, the time to nausea increased by up to a factor of 1.6 when set to high over low settings for highly susceptible participants. BCV did not improve task performance.
THE USE OF LESSON WRITER IN DEVELOPING ENGLISH TEACHING MATERIALS FOR VOCATIONAL SCHOOL STUDENTS

The aim of this study are to find out teachers’ perception toward Lesson Writer in developing English teaching Materials and to investigate teachers’ difficulties in using Lesson Writer to develop English teaching material. The sample of the study consisted of three English teachers. In this study the teachers focused on developing English teaching materials for the tenth grade of TKJ or Computer and Networking Program. The data collection used in this research was questionnaire and interview. The results of this study are the teachers have positive perception toward the implementation of Lesson Writer in developing English teaching materials, however in using Lesson Writer the teachers faced difficulties such as readiness of technology, limited teaching resources to be uploaded in Lesson Writer, and error server in log in Lesson Writer.
Study on Unconstrained Compound Optimization Problem and Some Dual Problems of DC Optimization Problem with Compound Function

There are many different solutions to non smooth optimization problems.In fact, the solutions of non smooth optimization problems can be divided into two main types: sub gradient method and beam method.Any method is based on the assumption that the objective function value is unique and there is a lower gradient value at each point.The sub gradient method is a method to solve the non smooth problem based on the sub gradient.This method is simple and easy to install, but may cause convergence, optimal detection and sub gradient approximation.The connection method is the ideological basis of beam method.Based on the information obtained from the black box, a piecewise affine model of the objective function in the original problem is constructed.According to the tangent plane method, the general beam method is generated.This method is now widely used.This can keep relevant information, such as repeat points, generate sub gradients through previous repetition, and create information packages, namely bundles.Therefore, the previously established information can be used in the current iteration step to generate the next iteration point.However, with the increase of the number of repetitions, the information beam expands more and more, which leads to huge computing and storage problems.In order to solve this problem, a special integrated compression technology has appeared in beamforming.
Afreximbank – eSwatini Membership

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 2 p. 22472C-22472C Policy and Practice Afreximbank – eSwatini Membership First published: 01 April 2019 https://doi.org/10.1111/j.1467-6346.2019.08806.xRead 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue2April 2019Pages 22472C-22472C RelatedInformation
A Registration Method of Multi-View Point Clouds Using Turntable and Monocular Structured Light

This paper describes an effective coarse registration method for multi-view point clouds which benefits from the high accuracy of the structured light 3D measurement system. In this method, we place a calibration ball in the center of the turntable, and then use the structured light system to obtain the point cloud of one side of the calibration ball. The center coordinates of the calibration ball are then calculated by spherical fitting to establish the relationship between the camera and turntable coordinate systems. In addition, the coordinate transformation among multi-view point clouds is calculated according to the preset rotation angle. Based on the data obtained in the previous two steps, multi-view point clouds are unified into the same coordinate system to achieve coarse registration as a reasonable initial value for the iterative closest point (ICP) algorithm. Finally, through the ICP algorithm for precise registration, a complete point cloud of the object is obtained. Experiments on 3D reconstruction for multiple objects confirm the efficiency of the proposed registration method. Code has been made available at: https://github.com/ZengZhiK/Structured-Light-MultiView-Reconstruction.
About this title - The Changing Role of Geological Surveys

Senior managers and Heads of Geological Survey Organizations (GSOs) from around the world have contributed a collection of papers to provide a benchmark on how GSOs are responding to national and international needs in a rapidly changing world. GSOs continue to provide key scientific information about Earth systems, natural hazards and climate change. As countries adopt sustainable development principles and the public increasingly turns to social media to find information about resource and environmental issues, the generation and communication of Earth science knowledge become increasingly important. This volume provides a snapshot of how GSOs are adapting their activities to this changing world. The different national perspectives presented converge around several common themes related to resources, environment and big data. Climate change and the UN's Sustainable Development Goals provide an increased incentive for GSOs of the world to work in harmony, to generate knowledge of Earth systems and to provide solutions for sustainable management of the planet.