Reviewerly/exHarmony huggingface dataset:
Expanded phenomenologies

In both theory and practice, from Paul McFedries’s The City as System [Technically Speaking] to Alphabet’s (Google’s) Sidewalk Labs project, the city has been envisioned as an assemblage of code and hardware, an electronic system open to hacking, reprogramming and optimising (McFedries, 2014). But, as Shannon Mattern has rightly pointed out, ‘a city is not a computer’ (2017). This is significant because metaphors frame and inform how we see and live in cities, the design processes with which we construct cities and thus the material spaces and operations of cities themselves. Mattern calls for ‘new models for thinking about … urban epistemologies that embrace memory and history; that recognize spatial intelligence as sensory and experiential’ (2017). While remaining aware of these critiques, this chapter counterintuitively posits the computational medium and representational tool of the game engine in thinking about the experience and making of urban space through an expanded reading of the body. Here the body is understood not only through its material propensities and constraints but also through its larger expression in the mosaics of embodied experience and sociocultural collective dynamics. This chapter builds on the theorisation of embodied experience following French phenomenologist Maurice Merleau-Ponty’s (2012) concept of the body-schema, or bodily way of knowing the world; cultural geographer John Wylie’s (2006) definition of landscape as the materialities and sensibilities with which we see; and digital media scholar Brendan Keogh’s (2018) play of bodies bridging across our shared physical spaces and the virtual landscapes of videogames. Establishing and expanding on the conclusions that landscape and self are co-constitutive and that the body can be extended across the physical/virtual divide, game engines are argued to uniquely provide a new design heuristics of experimental play that recognises and employs spatial intelligence as sensory, experiential and contingent in studying and designing the built environment. With these new readings of cities, new possibilities of city knowing and city making can emerge.
Success in Searching for Serials: What Is the MAGIC Solution?

Workshop leaders Zeter and Thunell have observed the difficulty with which some library patrons identify and locate journals. They used this session to explore questions about how libraries today offer access to serials and how information about serials is presented to the public. They noted some characteristics of typical student researchers and discussed the cause of increased user demand for serials. They demonstrated the two electronic serials “pathways” used at Michigan State University (MSU), Erasmus and MAGIC, and described their respective advantages and disadvantages. Zeter and Thunell ended with recommendations for serials searching improvements and suggestions of issues for future study. [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;]
Poly Parrot

Replicating Savine and Huge's work on differential machine learning in a simpler polynomial regression set-up.
Faculty Collaboration in Serials Collection Development and Management: Great Visions of a Shrinking Lake

SUMMARY. Two libraries, one in New York and the other in Texas, broke the annual serial cut crisis by working with the teaching faculty to focus on their needs and wants. The new serials review processes resulted not only in more effective serial collections but also in increased trust and understanding between librarians and teaching faculty. [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;]
RELATIONSHIP OF CLASS ACTION MANAGEMENT TOWARD INDONESIAN LEARNING OUTCOMES STUDENT'S STORY SKILLS IN SD NEGERI 1 KAOBULA (Hubungan Manajemen Tindakan Kelas Terhadap Hasil Belajar Bahasa Indonesia Pokok Bahasan Keterampilan Menyimak Cerita Siswa di SD Negeri 1 Kaobula)

AbstractImproving the quality of education will be achieved if the teaching and learning process by the teacher held in the classroom is truly effective and useful for achieving the expected knowledge, attitudes, and skills. Because basically, the teaching and learning process is the core of the overall education process, while the teaching and learning process is carried out in many formal activities in the classroom where the teacher is one of the important factors in determining the success of the teaching and learning process in the classroom. Therefore teachers are required to be able to improve their roles and competencies, competent teachers will be more able to create an effective learning environment and will be more capable of Classroom Action Management so that student learning outcomes are at an optimal level. The purpose of this study was to determine the effect of classroom action management on Indonesian learning outcomes, the subject of story listening skills in SD Negeri 1 Kaobula. The method used in this research is quantitative descriptive which is used as a research design that clearly and clearly describes the research variables in the form of numbers and statistics. The population of this research is the fifth-grade students of SD Negeri 1 Kaobula which consists of 24 students. Based on the results of the study, it is concluded that the influence between the X variable (classroom action management) and the Y variable (Civics learning outcomes) has a strong influence between the two variables. If we look at the amount of oxy obtained, namely: 0, 620 it turns out to be between 0.40. 0.60. It can be stated that the correlation between variable X and variable Y is a relatively strong influence. Thus, the authors can simply give an interpretation of the oxy, namely that there is a significant positive effect between variable X and variable Y.Keywords: Education, Kemuhammadiyahan, Character
Metadata Management Design

SUMMARY. This session, presented by Nathan Rupp, focused on creating a central repository at Cornell University for metadata tools. Rupp hopes that by implementing a repository for metadata tools digital projects librarians across campus will be able to utilize the best tools available instead of recreating tools or spending time searching via telephone for tools. This process will be revolutionary, bringing together all of Cornell’s libraries. It will create an efficient and valuable repository to facilitate better metadata management. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdeliveiy@hawonhpress.com &gt; Website: &lt; https://www.HaworthPress.com &gt;]
Learning to Read in Another Language

Chapter 1 looks at how children learn to read in their first language, giving particular attention to shared reading using blown-up books, guided reading, and independent reading. Then the chapter examines learning to read in another language and contrasts the difference between learning to read in the first language and learning to read in English as a foreign or second language. Learners need to learn the prerequisites for reading by learning letter shapes, developing phonemic awareness, and learning the conventions of the writing system of English. The chapter looks at the experience approach to reading, phonics, the alphabetic principle, and the learning of spelling. Finally, a list of principles is described which can guide the teaching and learning of reading and writing.
Wolfgang Hartje – ein Nachruf

Wolfgang Hartje – ein NachrufPublished Online:June 26, 2020https://doi.org/10.1024/1016-264X/a000290PDFView Full Text ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInReddit SectionsMoreFiguresReferencesRelatedDetails Volume 31Issue 2Juni 2020ISSN: 1016-264XeISSN: 1664-2902 Published online26. Juni 2020 InformationZeitschrift für Neuropsychologie (2020), 31, pp. 97-97 https://doi.org/10.1024/1016-264X/a000290.© 2020Hogrefe AGPDF download
Convolutional Neural Network for Customer’s Opinion on Amazon Products

Opinion mining and sentiment analysis are valuable to extract the useful subjective information out of text documents. Predicting the customer’s opinion on amazon products has several benefits like reducing customer churn, agent monitoring, handling multiple customers, tracking overall customer satisfaction, quick escalations, and upselling opportunities. However, performing sentiment analysis is a challenging task for the researchers in order to find the users sentiments from the large datasets, because of its unstructured nature, slangs, misspells and abbreviations. To address this problem, a new proposed system is developed in this research study. Here, the proposed system comprises of four major phases; data collection, pre-processing, key word extraction, and classification. Initially, the input data were collected from the dataset: amazon customer review. After collecting the data, preprocessing was carried-out for enhancing the quality of collected data. The pre-processing phase comprises of three systems; lemmatization, review spam detection, and removal of stop-words and URLs. Then, an effective topic modelling approach Latent Dirichlet Allocation (LDA) along with modified Possibilistic Fuzzy C-Means (PFCM) was applied to extract the keywords and also helps in identifying the concerned topics. The extracted keywords were classified into three forms (positive, negative and neutral) by applying an effective machine learning classifier: Convolutional Neural Network (CNN). The experimental outcome showed that the proposed system enhanced the accuracy in sentiment analysis up to 6-20% related to the existing systems.
Tagging

In the XML-version of the text, every word in the Dictionary is related by identity numbers to one particular entry and to a particular line, column and page. Moreover, each string is marked by its ‘role’ in the text via a ‘tag’: headword, part of speech (e.g. verb), dialect area identified by county, and so on. To keep the tagged text relatively short, we have abbreviated most of the tags, for example, pos for ‘part of speech’ and, in line with Wright, Yks. for ‘Yorkshire’ as the county where the string or word at issue was used.
Volume 99A, Number 7, July 2021 Cover Image

Abstract Discriminating different cells types within kidney tissue simply by size, shape and structure of their cell nuclei is possible if it is supported by deep learning engines. This is what Woloshuk and colleagues succeeded to perform using 3D reconstructed nuclei from confocal images (read more in Woloshuk et al. this iss PP. https://doi.org/10.1002/cyto.a.24274 ). Read this amazing work and more from this months 'collection of research on cell classification by image cytometry supported by artificial intelligence.
Epilogue

This book has provided an overview of the latest developments and current understanding of forensic/unfamiliar face matching. Throughout this book, the scientific study of face matching has been contextualized through two important applied tasks—facial comparison at passport control and in police settings. These applied tasks are now considered in turn to draw together content from different chapters and highlight some of the key insights emerging from this book....
Pentair makes equity investment in Aqua Membranes

Pentair plc has closed a minority investment in Aqua Membranes, a US developer of patented 3D printed spacer technology that enables performance improvement in spiral wound elements used in reverse osmosis (RO) membrane applications, including residential and commercial water filtration.
Resources available to help protect against cybersecurity threats

The importance of cybersecurity for the nonprofit sector was highlighted again recently in a major way when Philabundance—a hunger relief organization based in Philadelphia—announced it had been scammed out of almost $1 million through an online “phishing” scheme. According to news reports, scammers infiltrated the organization's computer system and mimicked invoices from a company Philabundance was working with on the construction of its new community kitchen. In all, the charity paid some $923,533 to a fraudulent account set up by the thieves.
Compression

Compression is one of the tools that every programmer should understand and wield confidently. Such situations when the size of the dataset is larger than the program can handle directly and it becomes a bottleneck are quite frequent and can be encountered in any domain. There are many forms of compression, yet the most general subdivision is between lossless one which preserves the original information intact and lossy compression which discards some information (assumed to be the most useless part or just noise). Lossless compression is applied to numeric or text data, whole files, or directories—the data that will become partially or utterly useless if even a slight modification is made. Lossy compression, as a rule, is applied to data that originates in the "analog world": sound or video recordings, images, and so on. We have touched the subject of lossy compression slightly in the previous chapter when talking about such formats as JPEG. In this chapter, we will discuss the lossless variants in more detail. Besides, we'll talk a bit about other, non-compressing forms of encoding.
Calibration and Validation of the Angstrom-Prescott Model in Solar Radiation Estimation using Optimization Algorithms

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Earth and Space Science. ESSOAr 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 [v2]Go to new versionCalibration and Validation of the Angstrom-Prescott Model in Solar Radiation Estimation using Optimization AlgorithmsAuthorsSeyedeh NafisehBanihashemi DehkordiBahramBakhtiariKouroshQaderiiDMohammad MehdiAhmadiSee all authors Seyedeh Nafiseh Banihashemi DehkordiShahid Bahonar University of Kermanview email addressThe email was not providedcopy email addressBahram BakhtiariShahid Bahonar University of Kermanview email addressThe email was not providedcopy email addressKourosh QaderiiDCorresponding Author• Submitting AuthorShahid Bahonar University of KermaniDhttps://orcid.org/0000-0001-8976-7272view email addressThe email was not providedcopy email addressMohammad Mehdi AhmadiShahid Bahonar University of Kermanview email addressThe email was not providedcopy email address
Profile Tolerances

A geometrical tolerance on a profile is one of the most versatile and powerful instruments that can be used for functional dimensioning, and is the tolerance most frequently used by designers. A profile may in fact be used to control the size, form, orientation and location of a feature. Because of the flexibility in the level of control that can be achieved with the profile tolerance, this control may be used to substitute the classical coordinate dimensioning method. The present chapter covers the ISO rules on profile tolerances in order to appropriately specify the control of a profile with a combination of the SZ, CZ, UF symbols and the bidirectional and unidirectional zones that are specified with profile tolerances. A composite profile tolerance is used in the ASME standards when the design applications require stricter tolerances on the form than is needed for the orientation or location of the same feature. The new ASME symbols, that is, From-To and dynamic profile, are presented.
Physics News

Physik in unserer ZeitVolume 51, Issue 3 p. 115-115 Treffpunkt Forschung Physics News First published: 04 May 2020 https://doi.org/10.1002/piuz.202070310Read 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. Volume51, Issue3May 2020Pages 115-115 RelatedInformation
An Unstructured Supplementary Service Data System for Daily Tracking of Patient Samples and Diagnostic Results in a Diagnostic Network in Malawi: System Development and Field Trial (Preprint)

<sec> <title>BACKGROUND</title> Diagnostics in many low- and middle-income countries are conducted through centralized laboratory networks. Samples are collected from patients at remote point-of-care health facilities, and diagnostic tests are performed at centralized laboratories. Sample transportation systems that deliver diagnostic samples and test results are crucial for timely diagnosis and treatment in such diagnostic networks. However, they often lack the timely and accurate data (eg, the quantity and location of samples prepared for collection) required for efficient operation. </sec> <sec> <title>OBJECTIVE</title> This study aims to demonstrate the feasibility, adoption, and accuracy of a distributed data collection system that leverages basic mobile phone technology to gather reports on the quantity and location of patient samples and test results prepared for delivery in the diagnostic network of Malawi. </sec> <sec> <title>METHODS</title> We designed a system that leverages unstructured supplementary service data (USSD) technology to enable health workers to submit daily reports describing the quantity of transportation-ready diagnostic samples and test results at specific health care facilities, free of charge with any mobile phone, and aggregate these data for sample transportation administrators. We then conducted a year-long field trial of this system in 51 health facilities serving 3 districts in Malawi. Between July 2019 and July 2020, the participants submitted daily reports containing the number of patient samples or test results designated for viral load, early infant diagnosis, and tuberculosis testing at each facility. We monitored daily participation and compared the submitted USSD reports with program data to assess system feasibility, adoption, and accuracy. </sec> <sec> <title>RESULTS</title> The participating facilities submitted 37,771 reports over the duration of the field trial. Daily facility participation increased from an average of 50% (26/51) in the first 2 weeks of the trial to approximately 80% (41/51) by the midpoint of the trial and remained at or above 80% (41/51) until the conclusion of the trial. On average, more than 80% of the reports submitted by a facility for a specific type of sample matched the actual number of patient samples collected from that facility by a courier. </sec> <sec> <title>CONCLUSIONS</title> Our findings suggest that a USSD-based system is a feasible, adoptable, and accurate solution to the challenges of untimely, inaccurate, or incomplete data in diagnostic networks. Certain design characteristics of our system, such as the use of USSD, and implementation characteristics, such as the supportive role of the field team, were necessary to ensure high participation and accuracy rates without any explicit financial incentives. </sec>
Time Bank using Public Blockchain

Time banking is a mode of exchange that lets people to use time as exchange currency instead of money. By registering in a time bank, people agree to take part in a system that involves earning and spending ‘Time Credits’. When they spend a unit of time on an activity to serve others, they receive one time credit. Later when they need service from others, they can use the time credits that they have earned and saved. Time credits are also transferable to their nominees. Block Chain technology is used to implement this design to ensure robustness, transparency and security. Ethereum, which is a public Block Chain protocol was used to remove third party intervention. Block chain is used as ledger to keep track of the activities in the time bank accounts, such as sign up, recording the credits, tracking the events etc.
Budaya Masyarakat Batu Caves Menjadi Daya Tarik Unik di Malaysia

Batu caves is A limestone hill, which has a series of caves and cave temples, is located in Gombak district, Selangor, Malaysia. This place is named after the Batu River, which runs through the hill. Batu Caves is also the name of the nearest village. This cave is one of the most popular Hindu temples outside India, dedicated to the god Murugan. This site is the focal point of the Hindu Thaipusam festival in Malaysia.
Reorient the Gazed Scene Towards the Center: Novel Virtual Turning Using Head and Gaze Motions and Blink

Novel virtual turning for stationary VR environments, accomplishing to reorient the gazed view towards the center, is proposed. Prompt reorientation during rapid head motion and blinking performed unnoticeable scene switching that achieved the seamless user experience, especially for the wide-angle turning. Whereas, continuous narrow-angle turning by horizontally rotating the virtual world corresponding to the face orientation achieved enhanced sense of reality. The proposal comprises a hybrid of these two turning schemes. Experiments using simulator sickness and presence questionnaires revealed that our methods achieved comparable or lower sickness scores and higher presence scores than conventional smooth and snap turns.
Information and Communicative Competence Development in Prospective Teachers

The article discusses role of teaching by taking into account modern features in the teaching profession, in the process of improving the prospective teachers’ professional competence, and the learning process organization. Effectiveness of the competence formation in prospective teachers determined by the qualitative criteria, the relevance of which relates to the educational process content and pedagogical conditions. Implementation of pedagogical activities following the principles and competent approaches to person-centered learning, new teaching methods used in pedagogical practice, plans of proposed methods for basic competencies formation in teachers, analysis effectiveness of decision making in certain pedagogical situations were discussed. Socialimplications in this study are resulted in society development changes, mainly the problem of globalization, the growth of the strategic direction of the market economy, changes in international relations and modern requirements for the teaching profession, ability to organize humanization processes, the ability to strengthen international relations, interpersonal and intercultural ties, etc., in-depth training, taking into account the above-mentioned modern requirements in the formation of the ICT competence in prospective teachers. The practical meanings associated with the learning process organized in a systematic way, where students will be able to create new ideas, further develop mentally and gain professional knowledge through a variety of activities, and gain experience in using the obtained skills in the right situations.
Information Fusion

In the field of road estimation, incorporating multiple sensors is indispensable in order to reach a robust performance. However, the previous chapters have shown that the reliability of the sources changes due to environmental conditions. To cope with this problem, we have introduced a reliability estimation concept using classification models, which are offline trained by using the extracted information from sensors’ detections and the past performance of the sources.