Reviewerly/exHarmony huggingface dataset:
Utilization of Nursing Education Progressive Web Application (NEPWA) Media in an Education and Health Promotion Course Using Gagne’s Model of Instructional Design on Nursing Students: Quantitative Research and Development Study (Preprint)

<sec> <title>BACKGROUND</title> Previous studies have proven that web-based learning media that offer interesting features with &lt;i&gt;the learning management system&lt;/i&gt; concept could support the learning processes of nursing students. Nonetheless, it is still necessary to conduct further research on its potential as an information media that supports learning using 1 of the mobile learning methods. </sec> <sec> <title>OBJECTIVE</title> This study aims to develop and use the Nursing Education Progressive Web Application (NEPWA) media in an education and health promotion course for nursing students. </sec> <sec> <title>METHODS</title> This is a research and development study aimed at developing the NEPWA media using the Analyze, Design, Develop, Implement, and Evaluate approach and a quantitative research with descriptive and pre-experimental 1-group pretest-posttest design conducted in the Study Program of Nursing Sciences, Faculty of Health Sciences, Muhammadiyah University of Surakarta. A total of 39 nursing students in their second year of undergraduate studies participated in this study. A pretest-posttest design was used to measure any changes in the dependent variable, whereas a posttest design was used to measure any changes in the independent variables. </sec> <sec> <title>RESULTS</title> After using the NEPWA media, there was a significant increase in the student knowledge variable (N=39; knowledge: &lt;i&gt;P&lt;/i&gt;&amp;lt;.001; 95% CI 23.88-33.14). In terms of student satisfaction with the learning process using Gagne’s model of instructional design, most of the students were satisfied, with a mean score of ≥3. In addition, the results of the measurement using the System Usability Scale on the NEPWA media showed that NEPWA has good usability and it is acceptable by users, with a mean score of 72.24 (SD 8.54). </sec> <sec> <title>CONCLUSIONS</title> The NEPWA media can be accepted by users and has good usability, and this media is designed to enhance student knowledge. </sec>
A novel developmental genetic programming methodology for mathematical modeling and neuroevolution

&lt;p&gt;In this work, a novel developmental genetic programming methodology called NEXT (Next Encoding of eXpression Trees) is introduced. NEXT was designed to include the following key properties: a variable-length solution representation with automatic sizing of individuals, an efficient interpretation of solution representations, a diverse repertoire of search operators, and the ability to be customized to workon multiple problem domains, including mathematical modeling via symbolic regression, and neuroevolution (the evolution of artificial neural networks). The approach was tested using a selection of problems involving symbolic regression of polynomials of different degrees, and neuroevolution for logic synthesis and pairwise classification. Our experimental results, compared against those of Gene Expression Programming on the same problem set, demonstrate that NEXT was capable of successfully evolving variable-length solutions to these problems.&lt;/p&gt;
Development Learning Models of Fish Stock Assessment Technique Subjects based E-Learning at Aquatic Resources Technology Management Program Study at the Jakarta Fisheries High School

The aim of the study in general is to develop a learning model fish stock assessment techniques based e-learning to meet competencies for program Students study of Aquatic Resources Management Technology in the Jakarta Fisheries University. This research uses research and development methods. Result of study: In the field trial, the value obtained from the results of the post-test is higher than the value of the Pre-test, the average value of the results of the pre-test 62 and the post-test average value of 86.79, so there is an increase of 24 , 79 points, the rate of increase is very significant, meaning that this figure shows that the model developed can improve student learning achievement in the Study Program of Aquatic Resources Management Technology. While the average percentage value obtained from field trials is 88.88%, this number is higher than the learning objectives specified in the specific instructional objectives of 80%..
Exploring narrativity in data visualization in journalism

Many news stories are based on data visualization, and storytelling with data has become a buzzword in journalism. But what exactly does storytelling with data mean? When does a data visualization tell a story? And what are narrative constituents in data visualization? This chapter first defines the key terms in this context: story, narrative, narrativity, showing and telling. Then, it sheds light on the various forms of narrativity in data visualization and, based on a corpus analysis of 73 data visualizations, describes the basic visual elements that constitute narrativity: the instance of a narrator, sequentiality, temporal dimension, and tellability. The paper concludes that understanding how data are transformed into visual stories is key to understanding how facts are shaped and communicated in society.
Chauffeured by the User: Usability in the Electronic Library

Librarians have not traditionally been the developers of information retrieval systems. However, with the growth of the World Wide Web and online knowledge management opportunities, academic librarians have begun to emerge as online system developers and designers. As librarians jockey for position as experts in understanding information-seeking behavior in this virtual landscape, they must learn about usability testing. Usability testing reveals how users search for online information and is a key component in determining when a product is easy to use and ready for public use. Both the University of Arizona and OCLC have undergone usability evaluation in various ways and have integrated results of these evaluations into their Web and online product designs.
CGA: A New Feature Selection Model for Visual Human Action Recognition

Abstract Recognition of human actions from visual contents is a budding field of computer vision and image understanding. The problem with such recognition system is the huge dimensions of the feature vectors. Many of these features are irrelevant to the classification mechanism. For this reason, in this paper, we propose a novel Feature Selection (FS) model called Co-operative Genetic Algorithm (CGA) to select some of the most important and discriminating features from the entire feature set to improve the classification accuracy as well as the time requirement of the activity recognition mechanism. In CGA, we have made an effort to embed the concepts of co-operative game theory in GA to create a both-way reinforcement mechanism to improve the solution of the FS model. The proposed FS model is tested on four benchmark video datasets such as Weizmann, KTH, UCF11, HMDB51 and two sensor-based UCI HAR datasets. The experiments are conducted using four state-of-the-art feature descriptors, namely HOG, GLCM, SURF, and GIST. It is found that there is a significant improvement in the overall classification accuracy while considering nearly 50 to 60% of the original feature vector.
Psychological Settings in Andrea Hirata’s Laskar Pelangi_Nafisa_Firmansyah_2017

Psychological Setting is an intrinsic element of a fiction work in the form of circumtances related to people’s behavior, way of thinking, bias, and life style. The novel of Laskar Pelangi is Andrea Hirata’s first novel which tells about the hardwork and the fight of Laskar Pelangi (Rainbow Troops) and teachers in living this life. The purpose of this study is to obtain the objective description of the psycho-logycal setting. Based on the description of the result from the Psychological setting analysis in the novel of laskar pelangi written by Andrea Hirata, the researcher concludes that the Psycho-logical setting in the novel consists of (1) someone’s or people’s behavior in determining the life choices, that is by working hard and being wise. (2) someone’s or people’s way of thinking in determining the life choices, that is simple and excessive way of thinking. (3) someone’s or people’s bias in determining the life choices, that is positive and negative bias. (4) people’s life style in a certain region or environ-ment, that is simple and modern life style.
Effect of Temperature on 60nm and 100nm Nanosphere Size Standard using Dynamic Light Scattering

It is difficult to use kinetic motion as a measurement tool without temperature affecting the results. In this study, the size of a known nanosphere was used to monitor the effect of temperature towards particle size determination using dynamic light scattering principles. Temperature deviations are always picked up by size measurement using the principle of Brownian motion. The particle size of 60nm and 100nm polystyrene latex nanoparticles in 10mM NaCl solution was measured at four different temperatures set points of 20, 25, 30, 35 and 40°C using dynamic light scattering mechanism. As a result, the size of polystyrene latex nanoparticles was increased with the increases of the temperature. Therefore, for particle size analysis using dynamic light scattering mechanism the temperature of the test must be maintained at 25°C in order to obtain accurate measurement.
Memory Tuning

In the earlier chapters of this book, we looked at techniques for reducing the workload demands on the MongoDB server. We considered options for structuring and indexing our datasets and tuning our MongoDB requests to minimize the amount of data that has to be processed in response to a work request. Maybe 80% of the performance gains from performance tuning come from these application-level optimizations.
Island

Research Article| May 01 2020 Island Anna Tomlinson Anna Tomlinson Anna Tomlinson recently finished her MFA at the University of Virginia, where she taught poetry, first-year writing, and summer transition classes. Her poems have recently appeared in the Adroit Journal, Tupelo Quarterly, Cimarron Review, Hampden-Sydney Poetry Review, and Gulf Stream. Search for other works by this author on: This Site Google the minnesota review (2020) 2020 (94): 11. https://doi.org/10.1215/00265667-8128069 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Anna Tomlinson; Island. the minnesota review 1 May 2020; 2020 (94): 11. doi: https://doi.org/10.1215/00265667-8128069 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. Copyright © 2020 Anna Tomlinson2020 Article PDF first page preview Close Modal You do not currently have access to this content.
TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Image Transformations

In the recent advancement of machine learning methods for realistic image generation and image translation, Generative Adversarial Networks (GANs) play a vital role. GAN generates novel samples that look indistinguishable from the real images. The image translation using a generative adversarial network refers to unsupervised learning. In this paper, we translate the thermal images into visible images. Thermal to Visible image translation is challenging due to the non-availability of accurate semantic information and smooth textures. The thermal images contain only single-channel, holding only the images’ luminance with less feature. We develop a new Cyclic Attention-based Generative Adversarial Network for Thermal to Visible Face transformation (TVA-GAN) by incorporating a new attention-based network. We use attention guidance with a recurrent block through an Inception module to reduce the learning space towards the optimum solution.
All that glitters is not gold: The problem of error

Now in its fourth edition, Essential Epidemiology is an engaging and accessible introduction to the foundations of epidemiology. It addresses the study of infectious and chronic diseases, public health and clinical epidemiology, and the role of epidemiology in a range of health monitoring and research activities. Contemporary, historical and hypothetical examples enable students to engage with content, while mathematics is kept understandable with complex mathematics housed in optional material so the book remains accessible. With over ninety questions and answers to work through, this book is an essential resource for students, practitioners and anyone else who needs to interpret health data in their studies or work. Epidemiology's most important goal is to bring rigour to the collection, analysis and interpretation of health data to improve health on a global scale; Essential Epidemiology provides readers the tools to achieve that goal.
Significance of Intelligent Pause Detection Protocol (IPDP) Over Other Protocols used for Speech Processing

Analysis of human voice based on its pitch can be used in detecting the pauses. The available algorithms for pause detection could succeed to some extent and lot of scope for better performance still exists. The proposed intelligent pause detection protocol (IPDP) is the convergence of (i) calculation of Mean/RMS peak value from human voice pitch (ii) estimating the pause using MLE algorithm and (iii) optimizing the bandwidth utilization of Vocoders using DTX algorithm. The work carried projects better pause removal than the existing standard methods.
Suffix arrays

The suffix array data structure is closely tied to the suffix tree, and we have already seen in the previous chapter. The suffix array gives you the lexicographically (alphabetically) sorted order of the suffixes, where each suffix is represented by its index into the string x; see Figure 4-1.
Structured Light

The structured light method is a very popular way to find correspondences between coordinates of a camera image and those of a projector image. This method class uses spatial or temporal image patterns as clues to obtain correspondence information. The basic approaches are described in Sect. 2.5, and various extensions have been proposed to apply structured light methods to various situations. In this chapter, the methods are classified based on projection patterns, and several extension methods are introduced.
Making Markets

We examine the impact of design on the evolution of a product market from illicit to mainstream. We argue the importance of congruence with normative and cultural-cognitive structures in fostering legitimacy. To understand the role of product design in this process, we conducted an ethnographic study of the newly-legal recreational cannabis market in the US, a market that has attained regulatory acceptance in some states but lacks normative and cultural-cognitive legitimacy. By analysing product design and interviewing managers, we find that design plays a pivotal role in legitimation. Producers transform a market by manipulating two distinct aspects of materiality: material in relation – how products relate to accepted products, and material in use – how design guides and enables consumption. We offer a framework for managing products in new markets, arguing that design can enable legitimacy by drawing on symbolic relationships to other products, considering affordances, and enhancing strategic socio-cultural innovation.
Distributed Computing Engines for Big Data Analytics

Technologies like cloud computing paved way for dealing with massive amounts of data. Prior to cloud, it was not possible unless you invest large amounts for computing resources. Now there is ecosystem which is conducive to storing and processing voluminous data that cannot be handled by local computing resources. With such ecosystem, big data technology came into existence. Big data is the data characterized by volume, velocity, veracity and variety. This has enabled enterprises to give more value to every piece of data. This in turn led to the increased usage of cloud for both storage and processing. For processing big data efficient technologies are required. New programming paradigm like MapReduce with Hadoop distributed programming framework is widely used. However, there are other emerging frameworks like Apache Spark and Apache Flink to handle big data more efficiently. In this paper, empirical study is made on the three frameworks like Hadoop, Apache Spark and Apache Flink with different parameters like type of network, block size of HDFS, input data size and other configuration changes. The experimental results revealed that Apache Spark and Apache Flink outperform Hadoop. This is evaluated with different benchmark big data workloads.
Input Output for Document Classifier

The report generated displays a list of automatically generated keywords in each document. A document is allowed to have any number of keywords. As the keywords are getting generated at any pass of the loop, there is no restriction on the width of keywords. Another report is also generated to display the list of the document class. If a document finds its match with more than one class (overlapping classes), the selection of the final class for a document is done on the basis of the maximum weight of the keywords in each class.
The OpenURL and SFX Linking

Library users wish to navigate seamlessly between library resources, and librarians wish to provide this capability to them. The OpenURL is a newly emerging standard in the library world that will allow librarians to create their own local links between the resources they choose for their users. Link servers such as SFX help librarians manage upkeep and resolution of links. [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;http://www.HaworthPress.com&gt;]
Cultural activities in ecological education at Library No.1 of the Multifuctional Cultural Center

The Library’s practical experience is discussed; the events of the greatest interest to users are described. The results of the activities are analyzed. The problems of ecological educations and the solutions are highlighted. The conclusion is made that the role of libraries has been increasing and the Library has been becoming the ecological center.
Resúmenes al Español

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share MailTo Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Resúmenes al Español. Intellect Dev Disabil 1 April 2021; 59 (2): 185–186. doi: https://doi.org/10.1352/1934-9556-59.2.185 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search
Buku Semantics &amp;amp; Syntax

Semantics and Syntax Book is one of other materials and references used by the Writer in Teaching and Learning Processes, especially for English Students.
Computing through time

Various puzzles, quizzes, games, humorous definitions, or mathematical that should engage the interest of readers.
ANALISIS KEBIASAAN BELAJAR SISWA BERPRESTASI DI SD NEGERI 013 MUARA JALAI

The purpose of the study was to find out how the study habits of outstanding students at school, at home and the differences in study habits of outstanding students at SD Negeri 013 Muara Jalai were. This research uses case study qualitative research. The research subjects were high achieving students in grades IV and V of SD Negeri 013 Muara Jalai, class teachers, principals, parents of high achieving students and the neighborhood of high achieving students. Data collection techniques are observation, interviews, documentation and field notes. The main instrument is the researcher using tools in the form of observation guidelines, interviews, documentation and field notes. Data analysis using the Miles and Huberman model. The technique of checking the validity of the data is by using triangulation techniques. The results of the study showed that the learning habits of students excel in the school environment. Students attend class on time, students follow lessons by paying attention, listening, taking notes, asking questions, concentration and discipline in learning. While the study habits of students excel at home. Outstanding students have a schedule of study hours, during the learning process students are always guided and accompanied by their parents, students always prepare their study needs at night and always leave in the morning. The difference in the study habits of high achieving students is when they study at home, namely during study hours
Regression Analysis of Predictions and Forecasts of Cloud Data Centre KPIs Using the Boosted Decision Tree Algorithm

&lt;div&gt;The National Institute of Standards and Technology defines the fundamental characteristics of cloud computing as: on-demand computing, offered via the network, using pooled resources, with rapid elastic scaling and metered charging. The rapid dynamic allocation and release of resources on demand to meet heterogeneous computing needs is particularly challenging for data centres, which process a huge amount of data characterised by its high volume, velocity, variety and veracity (4Vs model). Data centres seek to regulate this by monitoring and adaptation, typically reacting to service failures after the fact. We present a real cloud test bed with the capabilities of proactively monitoring and gathering cloud resource information for making predictions and forecasts. This contrasts with the state-of-the-art reactive monitoring of cloud data centres. We argue that the behavioural patterns and Key Performance Indicators (KPIs) characterizing virtualized servers, networks, and database applications can best be studied and analysed with predictive models. Specifically, we applied the Boosted Decision Tree machine learning algorithm in making future predictions on the KPIs of a cloud server and virtual infrastructure network, yielding an R-Square of 0.9991 at a 0.2 learning rate. This predictive framework is beneficial for making short- and long-term predictions for cloud resources.&lt;/div&gt;
ANALISIS INFORMASI AKUNTANSI PENUH DALAM PENENTUAN TARIF KAMAR GUNA MENDUKUNG PENCAPAIAN TARGET LABA PADA GARUDA PLAZA HOTEL MEDAN

This research was conducted to find out whether there is an accounting information system that is suitable with room rates are effective or not in supporting the achievement of profit targets as well as the method of selecting room selling prices at Garuda Plaza Hotel Medan. The form of research used in this research is descriptive research by obtaining qualitative, while data collection techniques are based on interviews, documentation, and literature. The data analysis technique used is descriptive data analysis by describing and interpreting data obtained from the field and interviews with the Accounting, Internal Control, and HRD sections. Data obtained from interviews and documents are collected, compiled, interpreted, and analyzed so as to provide complete information to solve problems that require. The results of this study indicate the facts about complete accounting information in the process of determining the selling price of room rates at Garuda Plaza Hotel Medan. In calculating the full accounting of Garuda Plaza Hotel using the cost plus pricing method, the full costing approach. In the cost plus pricing method the full costing approach shows diffrences in calculation. The difference lies in the estimated full costs, calculation of expected earnings, mark up calculations and selling price calculations. Hotels have a special method of determining rates.