Reviewerly/exHarmony huggingface dataset:
POC: Periodical Orthogonal Center Loss For Open Set Classification

When designing classification models, people usually do not assume that there will be unknown classes in the test set, which never appeared in the training set. However, this tricky situation is very common in practical applications. Such test conditions are called Open Set environments. Now, how to make models have the ability to identify unknown classes in the open environment has become a topic of great concern to researchers. In this paper, we follow up on previous research, which focusses on using orthogonal class centers to detect the unknown. We explain the reasons for the poor performance of the previous class center update strategy and propose using the orthogonal loss applied to the class centers to restrict the update direction. In addition, we use the multi-head attention layer for centers’ calculation to find suitable projection space adaptively. Experiments show that our method improves the performance of preceding orthogonal center methods.
Give Your Event the ‘Drawing Card Appeal’ Test

Special Events GaloreVolume 19, Issue 9 p. 8-8 Articles Give Your Event the ‘Drawing Card Appeal’ Test First published: 14 August 2019 https://doi.org/10.1002/speg.31190Read 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. Volume19, Issue9September 2019Pages 8-8 RelatedInformation
Evolution of Face Detection Techniques in Digital Images

Face detection is a popular application of object detection in computer vision.To detect faces in a digital image or video input requires the computer to utilize a series of algorithms or techniques.The technology of detecting faces has evolved proportional to its usage in various applications such as biometric security, autofocus in cameras, robotics, and social media applications.This aim of this paper is to provide a description on the evolution of face detection techniques such as Viola Jones, Histogram of Oriented Gradients (HOG), Convolutional Neural Network (CNN), and Multitask Cascaded Convolutional Neural Networks (MTCNN) from the year 2000 to recent years.Additionally, a comparison of the face detection techniques is discussed to evaluate the optimal face detection technique.
Travel package booking application with API BOT

These days we are witnessing many mobile applications based on the recommended systems, which have become a great technology which is been used by the various mobile applications according to the situation. Recommendation provided by the mobile application is a key element for the person who is traveling to several places. For any tourist information application contextual information is much needed to guide the user on his interests this can be achieved by the Context-aware computing. Which provides the user most interactive system with the suggestions provided by it based on the input from the user in a certain location, here context includes the user’s mental, social, physical environments. To achieve this contextual information, we will design and implement the context-aware user interface based on the user for which we have to study the user and design a rich user interface. The final outcome for which users have the satisfaction when using context-aware functionality will be much better than non-context-aware application.
EGYPT

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 3 p. 22500B-22502A Policy and Practice EGYPT First published: 02 May 2019 https://doi.org/10.1111/j.1467-6346.2019.08842.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, Issue3May 2019Pages 22500B-22502A RelatedInformation
Finding Centre of Gravity of Yoga Asana Postures to support Self-Assisted Yoga Practice

Self-assisted yoga practice should ensure safety. Being in a wrong posture while doing practice may cause problems like fall or fractures in the bones. Practitioners of activities like yoga, sports etc. should maintain correct postures all through their practice. Maintaining a correct posture is influenced by Centre of Gravity whose location is based on distributing the entire body weight evenly for stability. In this paper, we propose a method to find the Centre of Gravity of any asana sequence. The location of Centre of Gravity will be used by the assistive system to instruct the practitioner how to alter their postures to avoid fall and enable to take-up perfect practice. Motion capture systems will give the details in the form of Biovision hierarchy format, from which the coordinate values of human joints can be accessed. Based on the segmentation method, whole body Centre of Gravity is calculated. We have used Vrikshasana for our experiment and yoga posture data for ten participants are used to find the Centre of Gravity variations. Data for two trails were acquired. CM Variations in segments like thigh, angle are calculated. From the results the instructors may find whether ankle or thigh’s position should be changed to maintain correct posture.
Produkte: Vakuum in Forschung und Praxis 3/2019

Vakuum in Forschung und PraxisVolume 31, Issue 3 p. 10-11 Magazin Produkte: Vakuum in Forschung und Praxis 3/2019 First published: 11 June 2019 https://doi.org/10.1002/vipr.201970303AboutPDF 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. Volume31, Issue3Special Issue: AnalytikMay/June 2019Pages 10-11 RelatedInformation
The Gambia

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 7 p. 22371C-22371C National Security The Gambia First published: 16 August 2019 https://doi.org/10.1111/j.1467-825X.2019.08985.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, Issue7August 2019Pages 22371C-22371C RelatedInformation
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 2 p. 22208A-22209C Social and Cultural MEDIA First published: 20 March 2019 https://doi.org/10.1111/j.1467-825X.2019.08752.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, Issue2March 2019Pages 22208A-22209C RelatedInformation
Key Techniques That Make a Compelling Case

Nonprofit Communications ReportVolume 17, Issue 8 p. 5-5 Articles Key Techniques That Make a Compelling Case First published: 15 July 2019 https://doi.org/10.1002/npcr.31262Read 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. Volume17, Issue8August 2019Pages 5-5 RelatedInformation
CS-ABC: Cuckoo Search based adaptive boosting classifier for malaria infected erythrocyte detection

The contribution of this manuscript is a supervised learning technique that enables to detect the malaria scope in given erythrocyte. Contrast to former efforts in this region, this study utilises multiple observable phase images of the unspotted cells. Automatically, erythrocytes are segmented utilising optical phase thresholds and redeployed to allow quantitative association of the phase images. Redeployed images are examined to extract manifold morphological descriptors on the basis of phase information. When the entire individual descriptors are statistically diverse among uninfected and infected cells, every descriptor will not allow parting of the populations at the satisfactory level aimed at clinical service. The experimental study carried on the proposal and other contemporary models evincing that the proposed CS-ABC (Cuckoo Search based Adaptive Boosting Classifier) is considerably significant with maximal prediction accuracy and minimal misclassification rate that compared to other contemporary models.
Support Vector Machine

ThisSupport Vector Machine (SVM) chapter covers another major and powerful machine learning tool which is SVMSupport Vector Machine (SVM). The chapter begins with the introduction of linear classifierLinear classifier, K-NN classifier and perceptronPerceptron which are the keys to understand discriminative approachesDiscriminative approach such as SVMSupport Vector Machine (SVM) and ANN. After these preparations, the primal formPrimal form SVMSupport Vector Machine (SVM) is formally introduced. It then goes on to transform primal formPrimal form SVMSupport Vector Machine (SVM) to dual-formDual form SVMSupport Vector Machine (SVM) with detailed explanation and justification. In the next, kernelKernel SVMSupport Vector Machine (SVM) is formally defined and techniques of building new kernelsKernel are described in detail. For computation purpose, the kernelKernel trickKernel trick is introduced and an application of SVMSupport Vector Machine (SVM) using PMK is also demonstrated. The chapter concludes with three fusion techniques to build multiclass SVMSupport Vector Machine (SVM) classifiers.
Hacking Code

For the purpose of this chapter, hacking means gaining illicit access to a computer or network by various tricky means. This chapter offers techniques to hack programs by providing them with bad data. Another form of hacking is social engineering where you trick people into revealing their passwords, or other personal data, over the phone, social media, or e-mail; however, that’s a topic for a different book.
Design of Geological Disasters Warning System for Power- Transmission Lines

Abstract：Due to the vast territory, complex geological conditions, and meteorological environments China has experienced frequent geological disasters.The various types, wide distribution, and significant destructiveness of geological disasters heavily impact the power-grid constructions.Moreover, in China, power transmission lines have wide cover-ranges and long distances along with various harsh geographical conditions.Especially with the influence of heavy rains, geological disasters (e.g., landslides and collapses) are easy to be introduced and seriously threatens the safety and stability.Thus, this study presents a multisource based geological disaster early warning system for the power-grid(MGDEWS-PG).Through collecting and analyzing the power-transmission lines, geological environment information, meteorological data and hidden hazard spots, the MGDEWS-PG achieves implementations of the map display, investigating historical disaster, monitoring, early warning and reporting the geological disasters.The realization of the MGDEWS-PG is able to improve the efficiency and efficiency of the geological hazard detection and control of transmission lines, improve the risk management and control ability of transmission lines, and provide a reliable scientific basis for disaster warning and emergency response.
Design and Implementation of Related Literature Recommendation in Nstl Literature Retrieval System

China has proposed a subsystem to calculate the similarity of secondary literature and realize the real-time recommendation of relevant articles.They are designed for the National Science and Technology Library (NSTL) literature retrieval system.In this system, recommendations are made theoretically; quantitative evaluation and effect evaluation are carried out to verify the results.This subsystem for literature recommendation can further improve the service quality of the NSTL literature retrieval system [1].
Niger

With one of the world’s lowest levels of human development, Niger has enormous needs but only limited own resources to meet them. Insecurity in the Sahel, climate change, and low prices for its uranium exports are further challenges. Niger’s economy performed reasonably well before the outbreak of the COVID-19 pandemic. GDP growth exceeded 6 percent and large foreign projects were attracted, notably a pipeline for the export of crude oil. A new government will take office in April 2021.
On DH in Brazil

This interview, held in the first half of 2018, focuses on the digital humanities in Brazil. It discusses various aspects of the subject. It signals an increasing interest in the digital humanities in Brazil, visible in several initiatives, and materialized in projects and works both theoretical and applied. The growing creation of laboratories, study centers, or research groups stimulates discussion and the strengthening of the general humanities. Lacking the support of specific public policies, the initiatives listed are the fruit of commitment by researchers, since branches of government have not yet identified an important research area for the development of new knowledge in the humanities. The interview lists names of important Brazilian activists from the area of digital humanities. It also points out the difficulties in the development of the digital humanities, such as the lack of knowledge of the area by researchers and the tendency to reduce the budgets of institutions and universities due to the current economic crisis. Publications, seminars, and other activities that enable the wide exchange of experiences developed at the national and international levels are considered fundamental in the strengthening of the field. Finally, it highlights the relevance of the promotion of events for dissemination in the area, like the 1st International Congress on Digital Humanities, which involved universities, research centers, and cultural institutions in its organization.
An overview of user-interactions in exploratory search: theoretical foundations, techniques, and research issues

In the 21st century, an individual is enclosed with data plethora, which carries insights and knowledge. Though, to seek relevant objects, a user with uncertain information needs to opportunistically adopt several strategies, e.g., analytical search, search by analogy, etc, to aggregate the knowledge. These exploratory conversations are driven by focused-search and exploratory-browsing. In this paper, a critical study on various aspects of user-interactions in exploratory search is conducted, to trace the trends and the viability of the existing techniques and eventually to uncover the inherent limitations. It is evident that, despite the recent developments, a search task is mainly constrained due to 'insufficient means to specify user-search', 'inability to understand search-intent evolutions' and 'limited support for navigation towards unexplored-data'. The article assert that, proactive modelling of search-intents for automatic data exploration and visualisation are pivotal to deal highlighted issues and be a prospective trend to design the personalised data exploration techniques.
Geological Characteristics and Prospecting Orientation of the Au Polymetallic Ore in Amunik Area of Dulan County, Qinghai Province, China

The Au Polymetallic Deposit in Amunik Area, Dulan County is located in the north margin of the Qaidam Basin.This area is a metallogenic province of the Kunlun (orogenic belt), located in the Saishitengshan Pb-Zn-Au-W-Sn (Cu, Co and Rare earth) metallogenic belt of the Pb-Zn-Mn-Cr-Au-whitemica metallogenic belt (Ⅲ-24) in the northern margin of Qaidam.In this area, the tectonics, magmatic rocks and volcanic rocks are all developed, there are lots of minerals and mineralization leads and rich geological phenomena.In this paper, a discussion was given to the geological characteristics and prospecting orientation of the Au polymetallic deposit in the Amunik area of Dulan County, Qinghai Province, China.
Impact of Service Quality On Trust and Loyalty: An Empirical Study On Private Hospitals in Kurdistan Region of Iraq

Aim of this study was to investigate the impact of functional and technical service quality on the trust and loyalty of patients at private hospitals.The study conducted in Kurdistan region of Iraq.We have collected data via survey questionnaire from 322 patients or acquaintances of patients.He results revealed that functional and technical service quality at private hospitals had more or less equal impact on the trust of patients to that hospital.Besides, none of those service qualities significantly impacted the loyalty of patients.As trust had strongly significant and positive impact on the loyalty to that hospital, it was found that trust had a strong mediating role between service quality and loyalty to private hospital.There are managerial implications in the conclusion part.
Prelims

Citation (2021), "Prelims", Nziku, D.M. and Struthers, J.J. (Ed.) Enterprise and Economic Development in Africa, Emerald Publishing Limited, Bingley, pp. i-xxvii. https://doi.org/10.1108/978-1-80071-322-220211022
Nonprofit Learning Lab's webinar teaches online event management

Board & Administrator for Administrators OnlyVolume 37, Issue 7 p. 10-10 Resources Nonprofit Learning Lab's webinar teaches online event management First published: 11 February 2021 https://doi.org/10.1002/ban.31224Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume37, Issue7March 2021Pages 10-10 RelatedInformation
Cataloging for Consortium Catalogs

This session describes the University of Colorado at Boulder’s participation in Prospector: The Colorado Unified Catalog. Issues with cataloging serials within a consortium catalog, including latest vs. successive entry cataloging, single vs. separate record treatment of electronic journals, and holdings are discussed. Specifically, the issues of title changes and handling of supplements are discussed. The presenters offer recommendations based on their experience. [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;]
Natural Language Processing Subject Organizing by TTD Model Based on Stepwise Refinement Framework

Natural language processing is an important research field of computer science and artificial intelligence. It studies various theories and methods that can realize effective communication between humans and computers with natural language. In order to meet the needs of academia and industry, we have offered natural language processing courses. Natural language processing course is a compulsory course for the major of artificial intelligence and an elective course for the major of computer science and technology. With the continuous development and progress of artificial intelligence research, the previous teaching organization of natural language processing course has no longer adapted to the current situation. This paper introduced our improvement in teaching practice that is the natural language processing subject organizing by TTD Model based on stepwise refinement framework. Using TTD model of the organization of natural language processing subject will be more reasonable and the contents will be more completed. Considerable improvement results have been achieved in practical teaching.
The geochemistry of some kimberlites from the type area in Kimberley South Africa, in relation to models of kimberlite petrogenesis

sition elements may carry information on the origin of the magmas.If melting of a recently metasomatized mantle could provide a sa¬ tisfactory interpretation, v/all rock alteration formalized with the zone refining equation fit well the present data.An important im¬ plication of this process is the rapid equilibration of high partition coefficient elements (HRE for instance) with conduit walls in con¬ trast witn low partition coefficient elements (LRE).It is found that a liquid generated in the garnet stability field of the mantle and rising through spinel Iherzolites or harznurgites would result in mag¬ mas .lavinggeochemical characteristics similar to melilitites or K! nberlites.
Study reveals real cost of cybercrime

A study carried out by researchers at the University of Portsmouth claims to be the first to really examine the harm to individuals caused by cybercrime.
Working with Spark in Big Data Clusters

So far, we have been querying data inside our SQL Server Big Data Cluster using external tables and T-SQL code. We do, however, have another method available to query data that is stored inside the HDFS filesystem of your Big Data Cluster. As you have read in Chapter 2, Big Data Clusters also have Spark included in the architecture, meaning we can leverage the power of Spark to query data stored inside our Big Data Cluster.
Properties, Predication, and Arbitrary Sets

Shapiro and Hale disagree over the appropriate domain of quantification for second-order logic: Shapiro allows property variables to range over the full power set of the first-order domain, whereas Hale restricts the domain to only subsets which can be defined. Hale defends his view, via a discussion of Shapiro’s view that objects in a domain of quantification need not be able to be objects of singular reference (for example, geometrical points and electrons). Shapiro’s view is clearly at odds with Hale’s favoured broadly Fregean approach to ontology, according to which objects are simply those things to which reference may be made by means of actual or possible singular terms.