Reviewerly/exHarmony huggingface dataset:
On Writing

As an editor-in-chief, I spend a fair amount of time editing manuscripts, but it may surprise you that I write much less than I did as an engineer. The expectations for better communication grow with each generation, and I think it has always been the case that, to move your career forward you need to be savvy in your field and able to communicate with those who are not. Before my publishing experience, my writing was shaped both academically and professionally; in other words, my ideas and my writing were broken down by a wide range of researchers and engineers, often with the latter being more brutal. As a result, my editorial approach today is mostly to whittle words away for clarity's sake and to ask questions where the layperson (i.e., me) might get lost or confused. I don't want language to slow readers down or trip them up when what they want is a clear path to solutions. Journal AWWA is still published in print, so space comes at a premium. Very complex ideas and technical processes must be distilled down to digestible text to fit on a magazine page. Sometimes a small word choice can have a large impact. With all this in mind, what follows are some notes that inform my editing. First, some water industry specifics: be careful when writing about something being “reduced” when the subject is lead. “Reducing lead pipes” is ambiguous and can be read in different ways; whenever the subject is lead, use decrease instead of reduce unless you're getting into redox chemistry. As an AWWA standards engineer, the first thing ingrained in me was the difference between the words should and shall. Should means it's a good idea, but no matter how critical the suggestion is, it is not required. Should is guidance, but what shall says is what goes. Shall is monster of a word—never bring a should to a shall fight. Take care in using unnecessary words like being and help; most often they are just slowing you down. For example, “at risk of being bankrupt” becomes “at risk of bankruptcy.” Similarly, “… these help support” becomes “these support.” Personally, I hate the word utilize and almost always replace it with use, but use is also often abused; for example, “a tool that is used to assess and manage” becomes “a tool to assess and manage.” This month's Journal AWWA features a wide range of excellent authors addressing topics focused on communication and innovation. Please consider sharing your well-written perspectives and experiences with water professionals worldwide by writing to me at [email protected].
Prioritising mobile learning application requirements

Mobile technology has become an integral part of human life. Nowadays, people have started using mobile devices and communication network in educational, commerce, and health domain. Mobile learning (M-learning i.e., learning using portable devices) application development is affected due to changing technology and users' requirements. M-learning stakeholders face difficulty in reaching consensus on the available requirements implementation priority during design and development of M-learning application. Moreover, there is insufficient research to draw firm conclusion on suitable method for requirements prioritisation in M-learning application development. Therefore, this paper presents a requirements prioritisation scenario for M-learning application development. The requirements prioritisation scenario has four steps: identification of stakeholders, prioritisation of requirements by identified stakeholders, analysis of prioritised requirements, and assigning final priority to the requirements by analyst. The process is repeated iteratively. The requirements prioritisation scenario is implemented in a case study to understand the feasibility in the actual use.
Track 4 Current Tools/Emerging Technologies for Advanced Web Authors: CGI, Java, Style Sheets, and More

Tools and technologies for Web authoring continue to advance at a dizzying speed, making it difficult for Web authors to assimilate the “latest and greatest” into their work. This session provided an overview of Web authoring resources including CGI, Java, style sheets, and other important tools for the advanced practitioner, some of which are still in developmental states. Answers were provided to questions about what these tools are, how they may be used, 32and where to look for further information about them. Participants created a professional or departmental home page incorporating spine of these techniques. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Data Mining of Social Media – the Bridge between Traditional and Social CRM

During the mid-1980's, the marketing focus shifted from the traditional marketing mix model of 4 P's to relationship marketing.Relationship marketing, an approach that develops strong connection with customers by promoting customer loyalty, interaction, and long-term engagement, is the philosophy behind customer relationship management (CRM).Traditional CRM programs of the mid -1980's facilitated one-way communication from the business to the customer.However, with the coming of the internet and social media in the 1990's, two-way communication between the business and the customers became the norm.Marketing focus once again shifted -from customer relationship management to customer engagement.Large amounts of unstructured social media data generated by customerbusiness interactions require integration of data mining tools and social media into the CRM to unlock potential information.
The Technology for Implementing Networking in Training

The article describes the experience of networking between universities in the development and approbation of modules of the main educational programs in the process of project implementation modernization of teacher education. To implement this project, it was proposed create in the participating universities network teams of changes - a temporary labor collective, in which includes teaching staff of several organizations concluded between a network cooperation agreement. The purpose of creating a network team: changing organizational training process for the possibility of building individual educational student trajectories when using the resources of several educational organizationstion. The article defines the managerial roles, rights and obligations of participants in a network manda changes. The article indicates that the development of educational modules for Ban-educational modules should be carried out in the framework of joint core professions regional educational programs, as well as the criteria for the selection of educational n organizations for the implementation of OPOP in a network form.
AEROSOL INFLUENCE ON PHOTOVOLTAIC SOLAR ENERGY GENERATION FOR THE STATE OF GOIÁS (BRAZIL)

Abstract. The presence of aerosols in atmosphere has the potential to decrease the efficiency of solar photovoltaic energy generation. The central region of Brazil presents a remarkable growth of these aerosols between March and October, when the region undergoes a period of intensive slash and burn agriculture. This paper aims to evaluate the impact of this anthropogenic aerosol on electric power generation by comparing data from geostationary satellites with photovoltaic power generation data.
<i>Locating Nordic Noir: From</i> Beck <i>to</i> The Bridge

Book Review| October 01 2019 Locating Nordic Noir: From Beck to The Bridge Kim Toft Hansen and Anne Marit Waade. Locating Nordic Noir: From Beck to The Bridge. Cham: Palgrave Macmillan, 2017. Palgrave European Film and Media Studies. Pp. ix + 313. Rosemary Erickson Johnsen Rosemary Erickson Johnsen Governors State University Search for other works by this author on: This Site Google Scandinavian Studies (2019) 91 (3): 402–426. https://doi.org/10.5406/scanstud.91.3.0402 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Rosemary Erickson Johnsen; Locating Nordic Noir: From Beck to The Bridge. Scandinavian Studies 1 January 2019; 91 (3): 402–426. doi: https://doi.org/10.5406/scanstud.91.3.0402 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 All Scholarly Publishing CollectiveUniversity of Illinois PressScandinavian Studies Search Advanced Search The text of this article is only available as a PDF. Copyright 2019 by the Board of Trustees of the University of Illinois2019 Article PDF first page preview Close Modal You do not currently have access to this content.
Visualisasi Hasil Produksi Pangan di Provinsi Nusa Tenggara Timur

The Department of Agriculture of the Province of East Nusa Tenggara (NTT) is a regional apparatus with the main task of providing services to the community in the agricultural sector, one of which is food coverage. The website http://distan.nttprov.go.id does not yet contain information about food production results that are complete and clear. To overcome these problems, it is necessary to build a Food Production Results Visualization which is expected to display a picture of food production results based on the year of production, types of commodities and production results from each district in the province of East Nusa Tenggara that is easily accessed and understood by the public. The method used in this study is the waterfall system development method. The graphic design displayed on this website uses ChartJS. The programming languages used are PHP 7 and MySQL as database server. The results of this study are a Web-based Visualization of Food Production Results in East Nusa Tenggara Province which contains complete and clear information and is easily accessible to all parties..
Digital Image Secure Share Creation Techniques Analysis: A Survey

Security is a significant concern in data innovation that managing the web world today. In sharing based technique shares are created, encoded and stored into digital form. This paper discussed the various papers in secret share creation for image security like visual secret share creation, Chinese remainder theorem, Shamir secret sharing and so on. In this design, a secret image is programmed into n shadows of the random model. It is possible to interpret the secret image externally by overlay a certified subset of shadows. These shares are uncovering the secret image to assume to be imprinted on transparencies and in the wake of stacking them to one another. Here more than fifteen papers are analyzed; those papers are gathered from IEEE, Springer, Elsevier and some other Journals. In addition, security measures are analyzed for all image secret sharing procedure.
Fast and Efficient Edge Fusing Network Architectures for Accurate Single Image Super-resolution

&lt;p&gt;Recovering a High-Resolution (HR) image from a Low-Resolution (LR) image is the main concept of image Super-Resolution (SR). Convolution Neural Networks (CNN) are becoming widely adopted in many applications including generation of HR images from LR images. Although CNNs are widely used with great performance improvements, there is still much room for improvement. There has always been a trade-off between the number of parameters and performance enhancement. This thesis presents a novel convolutional neural network architecture for high scale image SR inspired by the DenseNet and ResNet architecture. In particular, modifications can be made to the convolutional layers in the network: stacking the features and reusing the weight layers to increase the receptive field. It is shown how this method can be used to expand the receptive field and performance of super-resolution networks, without increasing the number of trainable parameters and sacrificing the computation time. These modifications can easily be integrated into any convolutional neural network to improve the accuracy by efficient high-level feature extraction while reducing training time and parameter numbers. Proposed methods are especially effective for the challenging high scale SR due to edge and texture recovery through the expanded network receptive field. Experimental results show that the proposed model outperforms the state-of-the-art methods.&lt;/p&gt;
Information tools to support individual pedagogical activities

The article is devoted to the peculiarities of modernization of the system of professional pedagogical education in the aspect of using information tools for efective support of teachers’ activities. The considered directions of modernization of the system of lifelong pedagogical education are presented at the normative and conceptual level. Personalized and integrative approaches to the system of lifelong pedagogical education are important approaches to the implementation of the basic tasks of improving teacher training. The essence of a personalized approach to modern teacher training is not only in the formation of an individual and personal component of the future professional, but also in teaching universal strategies for professional and pedagogical activities in an information and educational environment. The integrative approach presupposes consistency and synchronicity of theory and practice, the traditional and innovative component of the teacher training system. A feature of the methodological component of the teacher training system is the information tools for supporting individual pedagogical activities, which, as integrated resources, have a certain educational potential, since they are aimed at achieving an efect when using relevant information by the subjects of the educational process. The variety of information tools allows us to distinguish their classifcation groups, including: information technology, information and communication and professional development. Informational tools used in the educational process can also be procedural, multifunctional image/svg+xml and private. Methodological, informational- methodical and personal- professional strategies for supporting the professional development of a teacher are used as conditions for supporting individual pedagogical activities. The prospect of the research is the development of methodological and technological mechanisms for the implementation of conditions for optimal support of teachers who are willing to be professionally mobile and competent, capable of successfully solving professional problems in the information and educational environment.
Summative Stereoscopic Image Compression using Arithmetic Coding

Image compression targets at plummeting the amount of bits required for image representation for save storage space and speed up the transmission over network. The reduction of size helps to store more images in the disk and take less transfer time in the data network. Stereoscopic image refers to a three dimensional (3D) image that is perceived by the human brain as the transformation of two images that is being sent to the left and right human eyes with distinct phases. However, storing of these images takes twice space than a single image and hence the motivation for this novel approach called Summative Stereoscopic Image Compression using Arithmetic Coding (S2ICAC) where the difference and average of these stereo pair images are calculated, quantized in the case of lossy approach and unquantized in the case of lossless approach, and arithmetic coding is applied. The experimental result analysis indicates that the proposed method achieves high compression ratio and high PSNR value. The proposed method is also compared with JPEG 2000 Position Based Coding Scheme(JPEG 2000 PBCS) and Stereoscopic Image Compression using Huffman Coding (SICHC). From the experimental analysis, it is observed that S2ICAC outperforms JPEG 2000 PBCS as well as SICHC.
Chapter 1: Data Clustering

This chapter introduces some basic concepts. First, we describe what data clustering is and give several examples from biology, health care, market research, image processing, and data mining. Then we introduce the notions of records, attributes, distances, similarities, centers, clusters, and validity indices. Finally, we discuss how cluster analysis is done and summarize the major phases involved in clustering a data set.
Predicting Job Performance Based on Knowledge Management

The objective of this research is to predict job performance based on knowledge management. The methodology of this research was applied according to its objective and descriptive-correlational based on the execution method. The statistical population of this research is all the librarians from public libraries of Mazandaran province with 265 members by full-census manner. 179 questionnaires were turned back. The research tool was Hosseinzadeh (2019) personal knowledge management questionnaire and Hosseini job performance questionnaire (2013). Cronbach’s alpha coefficient was used to estimate the face and content validity, and reliability of the questionnaire was estimated according to professors and specialists’ ideas which were obtained higher than 0.7 in all questionnaires. Data was analyzed using SPSS 18 software. The results of this research showed that the components of knowledge management have a positive and significant effect on job performance (P&lt;0.01). Moreover, 37.6% of changes caused by job performance are predicted by the components of knowledge management. According to the obtained results, some suggestions are offered to improve the research variables.
Aspect Extraction

The three different classification levels of opinion classification as discussed earlier are: (1) aspect-level, (2) sentence-level, and (3) document-level. The aspect identification is the fundamental approach of aspect-based opinion mining, as aspects are those prime entities, which provide important information about an opinion.
Intake

OpflowVolume 46, Issue 3 p. 2-2 Departments Intake First published: 05 March 2020 https://doi.org/10.1002/opfl.1332Read 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. Volume46, Issue3March 2020Pages 2-2 RelatedInformation
Proposed Method

This chapter explains in a general way how the Differential Evolution algorithm combined with fuzzy logic is used, just as the structure shown of the proposed methodology.
Thanks to outgoing Associate Editors

For multiple orthoimages mosaicking, the detection of an optimal seamline in an overlapped region and the generation of a seamline network are two key issues for creating a seamless and pleasant large-scale digital orthophoto map. In this paper, a novel system is proposed to generate the large-scale orthophoto by mosaicking multiple orthoimages via Graph cuts. The proposed system is comprised of two parts. In the first part, to ensure that the detected seamline avoids crossing the obvious objects, a novel foreground segmentation-based approach is proposed to detect the optimal seamline for two adjacent images. The foreground objects are segmented from the overlapped region at the superpixel level followed by the pixel-level seamline optimization. In the second part, we propose a novel seamline network generation approach to produce the large-scale orthophoto by mosaicking multiple orthoimages. The pairwise and junction regions extracted from the initial network are refined using two-label and multi-label Graph cuts, respectively. The key advantage of our proposed seamline network is that junction points can be automatically and optimally found using the multi-label Graph cuts. The experimental results on two groups of orthoimages show that our proposed system can generate high-quality seamline networks with less artifacts, and that it outperforms the state-of-the-art algorithm and the commercial software based on visual comparison and statistical evaluation.
Preface

Preface/introduction CCCIS 2019, the 2019 International Conference on Cloud Computing and Information Science was held in Shenyang, China from December 27th to 29th, 2019. The goal of CCCIS 2019 is to provide a platform for cloud computing and information science and industry professionals to showcase their research results and development activities in cloud computing and information science. It offers delegates the opportunity to exchange new ideas and application experiences, establish business or research relationships, and find global partners for future collaborations.
Mobile learning as the future of e-learning

B-learning plays a crucial role in modern-day education. In traditional learning, a successful teacher can teach at one location in a given time. B-learning complements modern learning and an effective tool for the individual&apos;s intellectual development and helps one to create is an intelligent society. Among the various new trends in e-learning, mobile learning (m-learning) is the revolutionary measure and has lots of scopes and potential to transform India&apos;s educational system. Millennial generation heavily depends on the smartphone for its entertainment and educational needs. Changing technological advancement also provides an opportunity for higher education institutions to explore the various online educational methods to engage a large number of students. This chapter aims to provide the significant importance of m-learning, its opportunities, and challenges in the Indian higher education system.
Making the Raspberry Pi Repeat Itself

A video game repeats the action until all the players’ lives have gone, or the end of the game has been reached. So far, we have only written programs that run through a sequence of commands and then terminate. With the use of certain Python keywords, we can get the computer to repeat a block of code when required, either using conditions or for a set number of times.
Automatic Summarization of Textual Document

In today world, there is a huge amount of information is growing every day on the internet and from many other sources and there is lots of textual information in it. To find out the relevant information from this large amount of data, we need an automatic mechanism that will extract the useful data. Such automatic systems are automatic summarization systems. They categorized into extractive and abstractive summarization system. Extractive summarization systems select the important sentences directly from the large document and put into summary whereas abstractive methods understand semantic meaning of the document by linguistic method to interpret and examine the text. In the purposed method, a statistical approach is used where multiple criterions or features are discussed to calculate the score for every sentence and then SIR (Susceptible Infected Recovered) model is used to compute the dynamic weight for every feature. After dynamic weight computation, weighted TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) is used for multi-criterion analysis and aggregation. This method is fully implemented and integrated for automated textual document summarization system.