Reviewerly/exHarmony huggingface dataset:
Co-attention Network for Visual Question Answering Based on Dual Attention

Attention mechanism is a modal feature processing method widely used in visual question answering (VQA) tasks.However, the attention bias may lead to the misalignment of key targets between modalities, which reduces the accuracy of VQA tasks.A co-attention network with dual attention mechanism was proposed to accurately align the key target between image and text modalities.First, the dual attention mechanism was used to accurately localize key targets within the modality.Then, the co-attention was employed for continuous fusion of image and text features.Finally, the key target alignment between modalities was achieved.A large number of experiments verified the validity of this model.Results demonstrate that the dual attention mechanism can accurately locate the target within the modality based on the existing attention.The modal fusion of image-guided text and text-guided image co-attention improves the alignment of key targets between modalities to some extent.Compared with the overall performance of several existing classic VQA models, that of the proposed model is improved by 0.14%-5.69%.This study provides some references for improving the performance of VQA tasks by target alignment between image and text modalities.
Storage

We have discussed compute instances in Chapter 4. We have seen how to create a new compute instance, using one of the images provided by Oracle or Partners-provided images. Now that we have a compute instance, we will see in this chapter what the Oracle Cloud Infrastructure Storage service is, how a compute instance uses the boot volume, and how it can use a newly provisioned block volume to store application data.
Facilitation Strategies to Moderate Synchronous Virtual Discussion Groups in Teacher Training

This chapter reports on an exploratory case study investigating strategies to facilitate group discussions in Second Life, a three-dimensional virtual world. The purpose was to identify best practices for discussion facilitation in-world from the perspective of a virtual host and a discussion facilitator. A host and a facilitator moderated four virtual group discussions with 16 in-service teachers enrolled in a graduate technology class. The chapter discusses several themes that emerged from the host's and the facilitator's debriefings. Key themes include the need for a careful selection of the communication modality (text or voice or a combination), strategies to promote interactivity among the participants, the critical need for at least one facilitator in addition to the host, the need for clear ground rules for the participants, and clear guidelines for the host and the facilitator. Several challenges experienced during the process of facilitating these virtual events are discussed and recommendations are made to address these difficulties. This chapter is of interest to educators who are planning to substitute in-class group discussions with synchronous group discussions in-world.
Possibilities, Impediments, and Challenges for Network Security in Big Data

With the time, Big Data became the core competitive factor for enterprises to develop and grow. Some enterprises such as, information industrial enterprises will put more focus on the technology or product innovation for solving the challenges of big data, i.e., capture, storage, analysis and application. Enterprises like, manufacturing, banking and other enterprises will also benefit from analysis and manage big data, and be provided more opportunities for management innovation, strategy innovation or marketing innovation. High performance network capacity provides the backbone for high end computing systems. These high end computing systems plays vital role in Big Data. Persistent and Sophisticated targeted network attacks have challenged today's enterprise security teams. By exploring each aspect of high performance network capacity, the major objective of this book chapter is to present fundamental theoretical aspects in analytical way with deep focus on possibilities, impediments and challenges for network security in Big Data.
Support Pronoun Disclosure When Students Are Ready

The National Teaching & Learning ForumVolume 30, Issue 3 p. 7-8 Student Support Support Pronoun Disclosure When Students Are Ready Cindy Poore-Pariseau, Search for more papers by this author Cindy Poore-Pariseau, Search for more papers by this author First published: 09 March 2021 https://doi.org/10.1002/ntlf.30278 Read 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. Volume30, Issue3March 2021Pages 7-8 RelatedInformation
ADR Brief

Alternatives to the High Cost of LitigationVolume 37, Issue 7 p. 107-109 ADR Brief ADR Brief Russ Bleemer, Russ BleemerSearch for more papers by this author Russ Bleemer, Russ BleemerSearch for more papers by this author First published: 08 July 2019 https://doi.org/10.1002/alt.21799Read 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. Volume37, Issue7June/August 2019Pages 107-109 RelatedInformation
Research on “Interactive” Teaching Mode of Business English Major under the Background of “Internet plus”

Under the background of the continuous development and wide application of Internet information technology, there is a problem of insufficient interaction between teachers and students and between students in the current business English teaching process in colleges and universities. The interactive teaching platform of business English based on Web technology developed through MVC mode and process languages such as ASP and PHP can effectively meet the demand of applied talents cultivation of business English major in colleges and universities, and change the teaching mode of business English major in colleges and universities, so as to realize the teaching reform of business English in colleges and universities under the background of "internet plus" and improve the efficiency of talents cultivation.
A Chat Larva for Academic Systems

User interfaces for computer code applications will are available in a range of formats, starting from command-line, graphical, net application, and even voice. whereas the foremost well-liked user interfaces embody graphical and web-based applications, often the requirement arises for an alternate interface. whether or not thanks to multi-threaded complexness, synchronic property, or details encompassing execution of the service, a conversation larva primarily based interface might suit the requirement.Chat bots usually give a text-based computer program, permitting the user to kind commands and receive text furthermore as text to speech response. Chat bots square measure sometimes a stateful services, basic cognitive process previous commands (and maybe even conversation) so as to produce practicality. once chat larva technology is integrated with well-liked net services it may be utilised firmly by a fair larger audience.
PERANCANGAN SISTEM NAVIGASI ROBOT SEPAKBOLA BERODA DENGAN MENGGUNAKAN METODE GREEDY

Development in the world of robotics at this time is growing where robots can be useful in every human activity, the role of robots at this time canalready help in human work. In Indonesia, robot contests have been held every year at both regional and national levels. One of the categories to bediscussed in this research is the Indonesian Football Robot Contest (KRSBI). In the indonesian football robot contest is divided into two more categories,namely humanoid division football robot and wheel division football robot. In this category, robots must be able to navigate to find the ball and kicktowards the goal. The main objective of this robot is to navigate and search for the ball to reach the opponent's goal. However, at the time of the matchthe robot has problems in the ball search system quickly, so it can slow down in taking the decision to chase the ball because the robot can not knowthe distance of the ball and the robot. One solution that can help the problem in wheeled football robots is to add greedy methods to wheeled footballrobots in taking the best option. So that the robot can vaccinate quickly and can chase the ball well. The test area uses a field of 180cm x 360cm. Thetest is declared successful if the robot can reach the ball and avoid the obstacle. From the test results, the robot managed to reach the ball well, so it canbe concluded that the robot can navigate using the greedy algorithm
Rating by Sorting into Relative Performance Quantiles

In this chapter, we apply order statistics for sorting a set X of n potential decision alternatives, evaluated on m incommensurable performance criteria, into q quantile equivalence classes. The sorting algorithm is based on pairwise outranking characteristics involving the quantile class limits observed on each criterion. Thus we may implement a weak ordering algorithm of complexity O(nmq).
Quantum Walks

Quantum walks are analogous to the classical random walks, and have important applications in quantum computation and quantum information. In this chapter, we give a gentle introduction to the first model of quantum walks—known as the coined model—, presented for the first time in 1993. Then, we consider the staggered model, which is much more recent and generalizes the most important types of quantum walks.
Maple

Based on the same ideas as Symbolic Python, Maple (for mathematical manipulation language) is a commercial computer algebra system for interactive programming in algebra, analysis, discrete mathematics, graphics, numerical computations and many other areas of mathematics.
Nonlinear Learning

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Mass Blood Survey Followed by Active Case Detection Success to Eradicate Malaria in Batunampar Village, Jerowaru Subdistrict, East Lombok, West Nusa Tenggara, Indonesia

Malaria is an endemic that often occurs in the coastal areas of East Lombok, West Nusa Tenggara.One of the most common ways of spreading this parasite is through asymptomatic malaria.Therefore, mass blood surveys and active case detection are needed to identify parasitemia and eradicate malaria in Batunampar village, Jerowaru subdistrict, East Lombok, West Nusa Tenggara, Indonesia.Mass blood survey was conducted on all residents of the research location through Rapid Diagnostic Tests, microscopic examination, and therapy.Furthermore, active case detection and evaluation were carried out for 5 consecutive years in collaboration with the Public Health Center in East Lombok.In the mass blood survey, 3,038 people (61%) were examined from a total of 5,017 residents.The Rapid Diagnostic Test (RDT) result showed that 15 people were positive for malaria, out of which 4 (27%) showed fever symptoms.Similarly, in the first year of active case detection, 296 residents suffered fever, with an Annual Parasite Incidence (API) decline below 1 per 10,000 population.The incidence of asymptomatic malaria in Batunampar village is 73%, which is relatively high.However, due to the successful detection of the associated parasite that causes this infection, it is easier to detect and treat sufferers, thereby reducing the rate of transmission.Detection of asymptomatic and symptomatic malaria and appropriate treatment are the keys to successfully eradicating malaria in Batunampar village, East Lombok.
Chapter 7: The Cahn–Hilliard equation in image inpainting

Image inpainting consists of filling in parts of an image or a video by using information from the surrounding area; it can thus be seen as a type of interpolation. Its applications include restoration of antique paintings by museum artists, removing scratches from old photographs, altering scenes in photographs, and restoring motion pictures.
Chapter 9: Automated event location in downhole geometries

PreviousNext No AccessAnisotropy and Microseismics: Theory and PracticeChapter 9: Automated event location in downhole geometrieshttps://doi.org/10.1190/1.9781560803751.ch9 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractChapter 9 is an attempt to apply stacking-based microseismic event-location methods, routinely used in surface microseismic geometries, to downhole microseismic data. To date, stacking-based microseismic event location enjoys little popularity in downhole microseismics primarily because only visible, high signal-to-noise ratio events are located, and a relatively small number of sensors in downhole surveys makes semi-automatic traveltime picking of wave arrivals feasible. Chapter 9 advocates for the use of trace envelopes and their temporal derivatives to circumvent many of the problems and produce sharply focused stacks.Permalink: https://doi.org/10.1190/1.9781560803751.ch9FiguresReferencesRelatedDetails Anisotropy and Microseismics: Theory and PracticeISBN (print):978-1-56080-374-4ISBN (online):978-1-56080-375-1Copyright: 2020 Pages: 492 publication data© 2020 Society of Exploration Geophysicists. All rights reserved. This book or parts hereof may not be reproduced in any form without written permission from the publisher.Publisher:Society of Exploration Geophysicists HistoryPublished in print: 20 Aug 2020 CITATION INFORMATION (2020), "Chapter 9: Automated event location in downhole geometries," Geophysical References Series : 227-279. https://doi.org/10.1190/1.9781560803751.ch9 Plain-Language Summary PDF DownloadLoading ...
Just Kidding

Many a new word has been coined in jest. <italic>Scientist</italic> was conjured as a facetious term for those engaged in scientific research. <italic>Indianapolis</italic> was a fanciful suggestion for the name of Indiana’s capital. <italic>Software</italic> was simply a play on <italic>hardware</italic> among early computer programmers<italic>.</italic> Whimsical coinage is especially common in the cybersphere where not just <italic>software</italic> but <italic>crowdsource, blog</italic> and <italic>blogosphere</italic> resulted from insider wisecracking. Playfulness is an ill-appreciated source of neologisms in general. The linguist Allen Walker Read cited “jubilance” as a primary motivation for word creation. The widespread adoption of neologisms that originated as bon mots, punch lines, and flippant remarks generally surprise their coiners as much as anyone. This is more true than ever in a world where language is continually fertilized by whimsical bloggers, wisecracking comedians, and sundry quipsters who are less intent on expanding our vocabulary than on being amusing.
Experiment Characterisation

Before entangling gates can be performed on the ions, a number of other operations such as cooling, state preparation, readout and setting the correct magnetic field have to work well.
Verifying Multi-Partite Entanglement with a Few Detection Events

We introduce a new entanglement-verification method and use it to experimentally verify the entanglement in a photonic six-qubit cluster state, created at telecommunication wavelengths, by detecting only 20 copies of the quantum state.
A Feature-Fusion-based Multi-column Convolutional Neural Network for Crowd Counting and Density Estimation

Due to the scale change caused by perspective distortion, the automatic estimation of crowd density in images with high density population is still a extremely difficult task. To address this problem, Feature-Fusion-based Multi-column Convolutional Neural Network (F2MCNN) is proposed to perform accurate crowd count estimation and provide high-quality density maps. Multi-column convolutional neural network are used to extracted multi-scale features distributed in different regions in a single crowd image. In this paper, the intermediate network nodes of different columns are connected by hopping to fuse multi-scale features and improve the perception ability of images at different scales. F2MCNN is evaluated on four datasets and it achieves better mean absolute error and mean squared error performances compared with MCNN.
From High Frequency Trading to Self-Organizing Moral Machines

Technology is responsible for major systemic changes within the global financial sector in general and particularly in the trade in financial products. The global financial sector has already developed into a comprehensive network of mutually connected people and computers that are constantly evaluating and approving millions of transactions. Algorithms play a crucial role within this global financial network. An algorithm is in essence merely a set of instructions developed by one or more people with the intention of having these instructions performed by a machine such as a computer, a software robot or a physical robot in order to realize an ideal result. As part of a development in which we as human beings have ever higher expectations of algorithms and these algorithms become ever more autonomous in their actions, we cannot avoid including possibilities in these algorithms that enable ethical or more considerations. To develop this ethical or moral consideration, we need a kind of ethical framework which can be used for developing algorithms. With the development of such a framework we can start to think about what we as human beings consider to be moral action by machines within the financial sector based on such a framework.
Product liability

This chapter describes, discusses, and critiques the study of product liability from a comparative perspective. Its point is not to restate product liability law in and of itself in any part of the world, nor is it actually to compare product liability laws in a systematic way. The point of this chapter is rather to introduce the reader to comparative product liability law as a field of study, that is, to survey its terrain and to explain its strengths and weaknesses.
Chatbot Designed for Graduate Students s Guidance Service

The main purpose of this study aimed to develop the chatbot designed for the graduate students’ guidance services, which were divided into two major phases: Phase 1: The development of chatbot designed for the graduate students’ guidance service, and Phase 2: The effects of chatbot’ s implementation for the graduate students’ guidance service. The data were statistically analyzed using mean, standard deviation and content analysis. The development of chatbot designed for graduate students’ guidance services conceptualized with the theory of design and the development of machine learning process together with the theory of flat “dialogflow”-called flat form technology taken from Google. In academic collaborations with graduate students studying at the master’s and doctoral levels, as well as the measurement and evaluation-related experts considered the suitability of the chatbot-oriented question and answer structures. Specifically, the educational technology and information technology-related experts’ tryout and evaluation were all implemented for its effectiveness of chatbots. The findings of the study revealed that all the aspects of the applications of chatbot, with its 𝑥 of 4.66 were rated at a very effective level as compared to all the aspects, it showed that the experts’ similar opinions toward the graduate students’ guidance services were mostly found. On the other hands, the graduate students’ satisfactions on their graduate students’ chatbot services, with its 𝑥 of 4.52 were all rated at a very high level as compared to each aspect, it showed that the experts’ similar opinions toward the graduate students’ guidance services were mostly found. The results of the study have shown that the chatbots designed to provide the graduate students’ advices were only one essential element that helped promote its research processaccording to comparing the correlations of thesis progress and the frequency use of chatbots. Also, in terms of designing the structures of questions with its answers, all the aspects of graduates’ instructional management should be extensively manifested for making them more effective.
ResNet

In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with the purpose of solving the GIANA challenge. In some cases like RTC-ATC group ResNet-50 was used as a layer in Faster Convolutional Neural Network (FCNN) in order to build an automated recognition system to detect the presence of polyps in colonoscopy images.
Mali: Selected Economic and Financial Indicators, 2016–23

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 8 p. 22692A-22692C Policy and Practice Mali: Selected Economic and Financial Indicators, 2016–23 First published: 01 October 2019 https://doi.org/10.1111/j.1467-6346.2019.09108.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, Issue8October 2019Pages 22692A-22692C RelatedInformation
Loading Data from the Web and the Cloud

In this chapter we will take a look at a subset of the fast-growing and wide-ranging set of data sources available over the Internet that you can use as a source of analytical data for Power BI Desktop. While the data sources that you will see in the following pages may be extremely diverse, they all have one thing in common: they are stored outside the enterprise and are available using an Internet connection.