Reviewerly/exHarmony huggingface dataset:
Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall Types

Earth and Space Science Open Archive This work has been accepted for publication in Geophysical Research Letters. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing an older version [v1]Go to new versionStatistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall TypesAuthorsJiayiWangiDRaymond K. W.WongiDMikyoungJuniDCourtneySchumacherRSaravananiDChunmeiSuniDSee all authors Jiayi WangiDCorresponding Author• Submitting AuthorTexas A&M UniversityiDhttps://orcid.org/0000-0003-0807-6192view email addressThe email was not providedcopy email addressRaymond K. W. WongiDTexas A&M UniversityiDhttps://orcid.org/0000-0001-9342-3755view email addressThe email was not providedcopy email addressMikyoung JuniDUniversity of HoustoniDhttps://orcid.org/0000-0001-9055-2180view email addressThe email was not providedcopy email addressCourtney SchumacherTexas A&M Universityview email addressThe email was not providedcopy email addressR SaravananiDDepartment of Atmospheric Sciences, Texas A & M UniversityiDhttps://orcid.org/0000-0002-0005-6907view email addressThe email was not providedcopy email addressChunmei SuniDUniversity of HoustoniDhttps://orcid.org/0000-0002-8849-1056view email addressThe email was not providedcopy email address
An Understanding of Information Literacy and Technology in Community Health

Advancement in health care using technology is increasing day to day. Technology is correlated to get better results in every treatment. This paper provides us literacy in information so that an indivual can accrue information when ever needed by maintain a proper health E-record.
The Transaction Optimization Of Color Print Sales Through E-Commerce Website Based On Yii Framework On Higher Education

Raharja Internet Cafe as a facility in Raharja College which is provided for Personal Raharja in helping provide the need for lecture activities. Raharja Internet Cafe has a problem, namely the sales system for applying color products that consumers have to come directly to the RIC room at LV-002 at Raharja College, but Raharja Internet Cafe cannot accommodate many consumers because of the limited area. These problems are the background for the establishment of an electronic sales system (e-commerce) based on Yii framework with the aim of facilitating the sale of color print products for consumers and staff of Raharja Internet Cafe. E-commerce website at Raharja Internet Cafe is a web-based application with a structured programming concept. The e-commerce application development Shop Copy Nicky uses 4 (four) stages in accordance with the steps that exist in software development, including the stages of observation, analysis, literature study consisting of 10 (ten) literature and implementation. The conclusion of the e-commerce website development on Raharja Internet Cafe is that the website built can make it easier for consumers to make transactions, and Raharja Internet Cafe can get comprehensive and real time reports about sales data, and payment systems for consumers that are easier because using a payment system that is done online.
Penyalagunaan narkoba dan mencegah terjadinya penyalagunaan narkoba di kalangan masyarakat

https://scholar.google.co.id/schhp?hl=id
Comparison of Handwriting Legibility and Visual Motor Integration in Different Age Groups

Comparison of handwriting legibility and visual motor integration in different age groups was performedon adults and old age person . Three group were formulated of 20-39, 40-59 and 60-79. HandwritingAssessment Battery for Adults and Bender Visual Motor Gestalt Test were assessed for all three groups. Itwas analysed that Handwriting Legibility decreases with age. The most affected factors were Word Legibilityand Letter Legibility. Whereas Visual motor integration is maximum in 40-59 and least in Group 60-79.
A priority and path diversity-based approach for media streaming over multi-hop and unreliable networks

Despite the recent advances, media streaming over multi-hop unreliable networks, such as the internet and wireless packet networks, is still challenging because of the dynamic and unpredictable nature of these networks. This paper proposes an approach that exploits paths' redundancies offered by multi-hop networks along with the differential sensitivity inherent in the encoded video information to enhance the quality of experience of video viewers in terms of the continuity of video playback, without compromising the quality of the reconstructed video. The performance of the proposed priority-and-path-diversity-based (PPD) video transmission scheme is compared through simulations with a best effort streaming model that mimics today's internet as well as a priority-based queuing streaming model that can be used in multi-hop wireless networks. The simulation results show that the proposed PPD streaming model outperforms the other two streaming models not only in the achieved video quality, as represented by the average peak signal to noise ratio, but also in terms of the average end-to-end delay and losses which are reflected by the instantaneous occupancy of the playback buffer at the viewer side.
A new high performance empirical model for software cost estimation

A software project can be successful when it is delivered on time, within the budget and maintaining the required quality as per client requirement. But in today's software industry, cost estimation is a critical issue for modern software developers. To estimate the effort and cost is significantly difficult and a challenging task. Since last 20 years' more than 30 models are already developed to estimate the effort and cost for the betterment of software industry. But these algorithms cannot satisfy the modern software industry due to the dynamic behaviour of the software for all kind of environments. On this study an empirical high performance interpolation model is developed to estimate the effort of the software projects. This model compares with the COCOMO based equations and predicts its result analysing individually taking different cost factors. The equation consists one independent variable (KLOC) and two constants a, b which are chosen empirically taking different NASA projects historical data and the results viewed in this model are compared with COCOMO model with different scale factor values.
Cochrane corner: digital contact tracing technologies in epidemics

Contact tracing is a public health measure implemented to control the spread and break the chains of transmission of an infectious disease. It is done by identifying, assessing, and managing people who have been exposed to an infectious disease to prevent onward transmission. We summarize findings from a rapid Cochrane review that included cohort and modelling studies to assess the benefits and harms of digital solutions for identifying contacts of confirmed positive cases of an infectious disease. The review included 12 studies, which assessed digital contact tracing for the following infectious diseases: Ebola, tuberculosis, pertussis and coronavirus disease 2019 (COVID-19). This review revealed low-certainty evidence of a decrease in secondary cases of the targeted infectious disease, if digital contact tracing was used. However, it is uncertain from the currently available evidence whether digital contact tracing would produce more reliable counts of contacts and reduce the time taken to complete contact tracing. Therefore, implementation of digital contact tracing in the context of the ongoing coronavirus pandemic in African countries should be accompanied by a robust monitoring and evaluation framework. There should be an evaluation and documentation of the benefits, cost-effectiveness, acceptability, feasibility, equity impacts, and unintended consequences of the intervention.
Book Reviews

Journal of the Royal Statistical Society: Series A (Statistics in Society)Volume 183, Issue 4 p. 1827-1827 Book reviews Book reviews First published: 05 October 2020 https://doi.org/10.1111/rssa.12603Read 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. Volume183, Issue4Special Issue: Causal inference from non‐experimental studies: challenges, developments and applicationsOctober 2020Pages 1827-1827 RelatedInformation
Special Issue on Data Mining &amp; Decision Analytics

Decision SciencesVolume 52, Issue 3 p. 542-542 Special Issue Special Issue on Data Mining & Decision Analytics First published: 11 June 2021 https://doi.org/10.1111/deci.12537Read 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 No abstract is available for this article. Volume52, Issue3June 2021Pages 542-542 RelatedInformation
Eliciting Student Thinking About Acid-Base Reactions via App and Paper-Pencil Based Problem Solving

Research has demonstrated that students often struggle with learning acid-base reaction mechanisms in organic chemistry. One response is the development of educational applications to support instruction and learning. However, research is needed to characterize how the modality influences students’ thinking about acid-base reaction mechanisms. This study used think-aloud interviews conducted with undergraduate students in their first semester of organic chemistry to understand how they worked through acid-base reactions using either paper-pencil or an app. Analysis of the interviews indicates that students recognize the steps of acid-base reactions, but do not always apply the underlying concepts when determining how a reaction will proceed. The modality somewhat influenced students’ thinking, in that the app prevented students from making chemically unreasonable mistakes. However, some students relied on the cues it provided, which could potentially be problematic when they are required to respond to assessments that do not provide these cues. Our results suggest that instructors should emphasize the conceptual grounding for the rules and steps that govern acid-base reactions to promote chemical thinking about the relationships between the reaction components and how those influence reaction outcomes, as well as support students to think critically about the chemical information contained within the modalities they are using.
Proliferating Pricing Models

SUMMARY. Librarians and publishers alike are struggling with a plethora of new options for pricing journals. To build a shared understanding of the advantages and concerns of various common pricing models, three categories of pricing models are evaluated in paper. Variations on traditional subscriptions, tiered pricing, and consortial complexities are defined and then considered from the viewpoint of both librarians and publishers. Some common themes in the discussions are identified and considered. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Lessons Inspired by Picture Books for Primary Grades by Maureen Schlosser

Reviewed by: Lessons Inspired by Picture Books for Primary Grades by Maureen Schlosser Kate Quealy-Gainer, Assistant Editor Schlosser, Maureen Lessons Inspired by Picture Books for Primary Grades; by Maureen Schlosser and Rebecca Granatini. ALA Editions, 2019 298p Paper ed. ISBN 978-0-8389-1775-6 $49.99 In six chapters, school librarian Schlosser and curriculum specialist Granatini organize twenty-one lesson units around the six Shared Foundations of the AASL Standards Framework for Learners: Inquire, Include, Collaborate, Curate, Explore and Engage. An introductory table lays out all of the selected titles and their support of AASL standards and Common Core (among others), while each lesson provides a summary of the featured picture book along with objectives, tips, and worksheets. Rubrics, an index, bibliography, and further resources are included. [End Page 101] Copyright © 2019 Board of Trustees of the University of Illinois
Ecology for the young: SMART HEALTHISM project

The new formats of ecological education of the youth are discussed. The library project promoting healthy lifestyle and scholarly view of various aspects of human physical well-being is presented.
Pengaruh Penggunaan Model Contextual Teaching and Learning (CTL) Terhadap Hasil Belajar Siswa di Sekolah Dasar

The study aims to determine the effect of model CTL to the learning outcomes of students forcitizenship education. The method used is a quasi-experimental methods. This study was conducted inSDN 18 Sungai Salak. The sample in this study consisted of two groups, the experimental groupnumbering and the control group were numbered 38 students. Based on data analysis usin t-testconducted on the significant level α = 0,05, indicates that the learning outcomes of student who aretaught model CTL obtained tcount 2,7604 and ttabel 1,68830, with the result that tcount&amp;lt; ttable. It can beconcluded that there is significant relationship between learning model CTL on students learningoutcomes.
Examining the Existence of “Teaching to the Test” at SSC Level in Bangladesh

The paper aims at examining the influence of Secondary School Certificate (SSC) English language test on teaching in the existing CLT-based teaching context in Bangladesh. It is a fact that SSC test results continue to influence the total educational career of a student including his admission into Higher Secondary Certificate (HSC) level and subsequently at tertiary level study. Later on, SSC result is one of the vital determinants of his employment. As a result, the washback effect i.e. effect of test (SSC EFL tests) on teaching and learning of this high stakes test cannot be ruled out. The overwhelming use of test results in different academic and professional affairs in the context of Bangladesh has made the effect of washback a distinctive educational phenomenon. This study presents preliminary research findings on the SSC EFL test’s influence on teaching in Bangladesh by applying various methodological techniques such as classroom observation and teacher interview in sampled schools located in Chittagong, Bangladesh. The analysed data revealed that SSC EFL test technique is one of the driving forces that shape teaching. Teachers’ teaching is confined to only those tasks and activities which are commonly set in the tests. Now it is difficult to deny that that teaching to the test is a harsh reality at SSC level classrooms in Bangladesh.
State institutions, governance, and poverty

This chapter studies the relationships between institutions, governance, and poverty. It focuses on formal, state institutions, defined as “the rules of the game in society,” as well as governance, defined as “how the game is played.” After elucidating these definitions, the chapter introduces various measures of the quality of institutions and governance, prioritizing the World Bank’s World Governance Indicators. It surveys the existing scholarly research on how poverty is related to factors such as corruption and property rights. Then it dives more deeply into how institutions impact basic capabilities. The importance of democracy within the capabilities approach is emphasized, regardless of empirical relationships between democracy and development indicators such as economic growth. The chapter argues that democratic deficits are a fundamental institutional dynamic that contributes to poverty. The chapter considers evidence on what shapes institutions and governance, including the “resource curse” and various other short-term and long-term factors. Following a brief review of prominent critiques of the institutional perspective, the chapter concludes by presenting both principles and practices that can help improve institutions/governance to reduce poverty.
Sentence Level Sentiment Analysis using Deep Learning Method

An Emoji is a small image representing facial expression, entity or a concept that can be either static or animated. In this paper, Emojis are used to study both cross-language and language based sentiment patterns. All the languages do not come with fair amount of labels. Emojis are useful signs of sentiment analysis in cross-lingual tweets. In this paper, an approach is proposed to extend the existing binary sentiment classification using multi-way classification. A novel Long Short-Term Memory (LSTM) - Convolutional Neural Networks (CNN) based model is proposed to obtain sentiments from emojis. The sentiments are classified using Deep Learning method like CNN. The proposed system outperforms the existing system in terms of Accuracy, Precision, Recall, F-Measure and Time Period. Finally the researcher manifests the fact that the CNN and LSTM combination as model shows an immense improvement to detecting the sentiment targets.
Frequent Sequential Patterns (FSP) Algorithm for Finding Mutations in BRCA2 Gene

The Sequential Pattern Mining (SPM) is a fundamental task in data mining. The SPM mines subsequences from given sequence which can be used for various analyses. This paper aims to propose an efficient method for mining frequent sequential patterns in biological data. It also includes the k-mer for decomposing the sequence according to the user defined threshold value. The input data used is breast cancer gene BRCA2 normal and mutated BRCA2 gene. The parameters used for analyses are suffix, candidate pattern and frequent pattern. The suffix value is increased for mono-,di and tri-nucleotide in mutated gene and in frequent pattern tri-nucleotide has increased nucleotide in mutated gene. So this abnormal increase in pattern may leads to cancer in the human
Attendance Posting Through Face Recognition

Now a day’s face detection technology is widely used technique. It attracted attention for much valuable application in the market such as face recognition system. Biometric authentication is most important method in security system. Universally used Biometric fingerprint scanner can be bypassed quite easily. It can be broke easily. Biometric face recognition has been introduced to improve the security of a system. Methods such as Motion based and texture based are used for biometric face recognition. But these methods have less robustness and poor generalization ability. But apart from further security issues, this paper presents a new approach to make attendance of the student in class by the face recognition. Now a day’s attendance system is usually done manually or by the biometric fingerprint. Those are mistaken and tedious techniques. So this technique records the student’s participation in classroom consequently and provide facility for teachers for obtaining the data of the student effectively using log to check in and out time
Scala Language

Programming languages have been around for a very long time and have evolved significantly. Starting from the very foundational binary language, which merely consisted of 0 and 1 bits, a huge array of languages have been developed over the years to address a number of growing challenges in different contexts. All of these languages have a core purpose—to enable developers to write instructions in way that is understandable by computers with the goal of completing a specific task. Some languages specialize in a specific set of tasks, such as developing web applications, whereas others are preferred for Data Science and machine learning tasks. Yet others are recommended for developing applications in the Windows operating system, and the list goes on.
Facial Expression Recognition with Gender Identification

The human facial emotions recognition has attracted interest in the field of Artificial Intelligence. The emotions on a human face depicts what’s going on inside the mind. Facial expression recognition is the part of Facial recognition which is gaining more importance and need for it increases tremendously. Though there are methods to identify expressions using machine learning and Artificial Intelligence techniques, this work attempts to use convolution neural networks to recognize expressions and classify the expressions into 6 emotions categories. Various datasets are investigated and explored for training expression recognition models are explained in this paper and the models which are used in this paper are VGG 19 and RESSNET 18. We included facial emotional recognition with gender identification also. In this project we have used fer2013 and ck+ dataset and ultimately achieved 73% and 94% around accuracies respectively.
Penerapan Manajemen Mutu Terpadu di Perguruan Tinggi dengan Menggunakan Teknologi Informasi

Integration of Management Total Quality and Information Technology has become very important for countries, businesses, and companies that hope to survive, including educational institutions. The demand for graduates of quality education institutions is increasingly urgent because of the increasing competition in employment, therefore competition in the labor market will be increasingly severe. Integrated Quality Management (Total Quality Management-TQM) is a system of fundamental values and competence in managing organizations with the aim of improving performance in the long term by paying special attention to achieving customer satisfaction while paying adequate attention to meeting the needs of all organizational stakeholders concerned. Quality problems in TQM require the involvement and responsibility of all parties in the organization. Its application in the world of education has had a positive impact, especially in universities. Where to support the implementation and implementation of TQM in an increasingly advanced world, information technology is needed. Information technology is a variety of facilities consisting of hardware and software to support and improve the quality of information for the community quickly and with quality.
Feedback Control Design for VCM

A design of PD feedback control law for a class of the second order system to satisfy the desired performance requirements is presented. It is achieved by using root-locus approach. The desired specifications of the step-input system response are first transformed into a required region for the poles of the PD control closed-loop system. Ranges of the corresponding PD control gains are then derived to guarantee the poles of the closed-loop system lie within the targeted region. Besides, the proposed control law is also applied to the feedback control of Voice Coil Motor (VCM) to support the function of the so-called “Optical Image Stabilization (OIS).” Numerical results by using a referenced VCM model have demonstrated the success of the proposed design.