Reviewerly/exHarmony huggingface dataset:
Intake

OpflowVolume 47, Issue 2 p. 2-2 Departments Intake First published: 04 March 2021 https://doi.org/10.1002/opfl.1495Read 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. Volume47, Issue2March 2021Pages 2-2 RelatedInformation
Webinar focuses on building high‐performance cultures

Board & Administrator for Administrators OnlyVolume 37, Issue 11 p. 6-6 Resources Webinar focuses on building high-performance cultures First published: 11 June 2021 https://doi.org/10.1002/ban.31263Read 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. Volume37, Issue11July 2021Pages 6-6 RelatedInformation
Aspect Term Extraction for Aspect Based Opinion Mining

Opinion Mining (OM) is also called as Sentiment Analysis (SA). Aspect Based Opinion Mining (ABOM) is also called as Aspect Based Sentiment Analysis (ABSA). In this paper, three new features are proposed to extract the aspect term for Aspect Based Sentiment Analysis (ABSA). The influence of the proposed features is evaluated on five classifiers namely Decision Tree (DT), Naive Bayes (NB), K-Nearest Neighbor (KNN), Support Vector Machine (SVM) and Conditional Random Fields (CRF). The proposed features are evaluated on the Two datasets on Restaurant and Laptop domains available in International Workshop on Semantic Evaluation 2014 i.e. SemEval 2014. The influence of proposed features is evaluated using Precision, Recall and F1 measures. The proposed features are highly influencing for aspect term extraction on classifiers. The performance of SVM and CRF classifiers with proposed features is more influencing for aspect term extraction compared with NB, DT and KNN classifiers.
Interacting with Augmented Reality

Displaying virtual objects on a real-world scene can be interesting, but you’ll likely want to do more than just overlay static images on a scene. Besides displaying virtual objects on a scene, ARKit can also make virtual objects move on the screen and give users the ability to interact with virtual objects through touch gestures such as taps or swipes.
Aleatory Explanations

The question of what role negatively relevant factors should play in explanations that refer to probabilistic causes is addressed. A distinction between contributing and counteracting causes is drawn. Arguments are given that citing the probability value as part of the explanation is unnecessary, that restricting the explanatory factors to only the positively relevant factors is misleading, and that listing some, but not all, of the contributing and counteracting causes allows for partial but true explanations to be given. The canonical explanatory form for probabilistic causal explanations "X because Y despite Z" is introduced and linguistic variants of the canonical form are given.
https://jusst.org/the-effect-of-strategic-management-on-organizational-performance-the-mediating-role-of-knowledge-sharingin-private-universities-in-kuwait/

One of the top significant variables in management research and indicator of a successful organization is organizational performance. Organizational performance is the most important issue of profit and non-profit organizations (Singh &amp; Kassa, 2016). The performance literally means the quality of work, so organizational performance is a comprehensive structure that refers to the organizational operation (Sadeghi, Ahmadi &amp; Yazdi, 2016). The objective of any organization is not only to survive but also to sustain its existence by improving performance, to meet the needs of the highly competitive markets, thus organizations must continually increase improving performance (Arslan &amp; Staub 2013).Organizational performance has been used widely as the most important criterion in evaluating organizations. However, researchers often pay little attention to what performance is and how it is measured (Caseiro &amp; Coelho, 2019; Soltani, Zareie, Milani &amp; Navimipour, 2018).
The "Project Management" Program: Technologies for Implementation

For practical implementation of a model of organizing individual creativity of cadets in the educational process of a military higher education institution based on project activities, the "Project Management" program was developed and implemented for members of the experimental group. The purpose of the program is to develop the individual creativity of cadets in extracurricular project activities. Cadets' individual creativity is considered as a personal intellectual and practical activity, aimed at creating new individual and socially-significant values, where a cadet acts as a subject of creative development. Axiological, cognitive-creative and operational components are distinguished in the structure of individual creativity.
Ten Ways to Hear Snow by Cathy Camper

Reviewed by: Ten Ways to Hear Snow by Cathy Camper Deborah Stevenson, Editor Camper, Cathy Ten Ways to Hear Snow; illus. by Kenard Pak. Kokila/Penguin, 2020 [32p] Trade ed. ISBN 9780399186332 $17.99 E-book ed. ISBN 9780593111239 $10.99 Reviewed from digital galleys R 4-8 yrs A snow has blanketed the city, but Lina still decides to bundle up and head out to her grandmother's, since it's "grape leaf day," when they make the Lebanese dish of warak enab together. On the way over, Lina considers the neighborhood from her grandmother's viewpoint; since Sitti's eyesight is failing, she interprets the world through her ears, and Lina notices the different sounds, from the scrape of snow shovels to the giggle of friends planning to throw a snowball. Upon arrival at Sitti's home (an apartment in a retirement community), she starts cooking with her grandmother and learns a tenth way to hear snow, from the quiet it makes: "No noise is the sound that means it's snowing." Camper, inspired by her own Lebanese family, makes Lina a staunch heroine as she plows through the snow; the sounds she hears (such as "Ploompf!" and "Swish-wish, swish-wish") make for inviting and performative reading aloud. Pak's watercoloresque digital art is solid and accessible even in the snowy scenes, and it makes the most of Lina's fond family at both ends, especially in Lina and Sitti's playful visit. This cries out for a choral performance of the snow sounds, and it might prompt librarians to bring out Perkins' classic Snow Music (BCCB 12/03). Copyright © 2020 The Board of Trustees of the University of Illinois
Series–parallel resistive circuits

The book chapter studies series-parallel resistive circuits by considering: series resistive circuits and voltage divider rule; parallel resistive circuits and current divider rule; specific series-parallel resistive circuits; Wye (Y) and delta (Δ) configurations and their equivalent conversions.
Sentiment Analysis of Multilingual Tweets based on Natural Language Processing (NLP)

Multilingual Sentiment analysis plays an important role in a country like India with many languages as the style of expression varies in different languages. The Indian people speak in total 22 different languages and with the help of Google Indic keyboard people can express their sentiments i.e reviews about anything in the social media in their native language from individual smart phones. It has been found that machine learning approach has overcome the limitations of other approaches. In this paper, a detailed study has been carried out based on Natural Language Processing (NLP) using Simple Neural Network (SNN) ,Convolutional Neural Network(CNN), and Long Short Term Memory (LSTM)Neural Network followed by another amalgamated model adding a CNN layer on top of the LSTM without worrying about versatility of multilingualism. Around 4000 samples of reviews in English, Hindi and in Bengali languages are considered to generate outputs for the above models and analyzed. The experimental results on these realistic reviews are found to be effective for further research work.
Selling security within the organization

The chapter discusses the ongoing need to make all employees in a company aware of the importance of the security function, and the ways to accomplish this. Orientation sessions for new employees are important, for all levels of personnel, and should include information about the security department’s structure and function, meeting the staff, and tours of the security facility. Bulletins such as a security newsletter can also be an effective tool, as can company meetings.
Introduction

Abstract The goal of Insights from Data with R is to help you learn the most important tools in R, and the most important concepts, to allow you gain insights from data. After reading this book, and working along with the methods, you will have the tools to tackle a wide variety of challenges involved in getting insights from data using R. This chapter describes what we mean by ‘insights’ and introduces our overall workflow for gaining insights from data using R. We also introduce features of datasets that influence the types of insight one can gain, and introduce four workflow demonstrations, one of which is in the book, and three of which are online.
Online Teaching Application Design for the Postgraduate Entrance Examination of Industrial Design

According to the data, 89% of postgraduate students majoring in industrial design will spend three quarters of their energy in finding materials for the postgraduate entrance examination and the experience posts of senior students who have been admitted to the target institutions. In view of this phenomenon, a question and answer application for industrial design postgraduate entrance examination deserves more attention. In the research process, firstly, data are obtained through competitive product analysis, user interviews and questionnaire surveys. In addition, users' real needs are also collected. Secondly, KANO model method is employed to determine the priority of requirements, the strategic layer and the scope layer. Finally, based on the preliminary analysis results, the application interface is designed to determine the framework layer, structure layer and visual layer. The final result is that in the context of the development of new media, the postgraduate entrance examination education is modernized and reformed, which successfully reduces the energy and time of industrial design postgraduate entrance examination students searching for information during the preparation period.
Technology and Policing: An Assessment of Police Commissionerate of Two Cities of Eastern India

Technology is a quintessential part of everyday life, police is not an exception in this regard. From “prevention and detection of crime” to “maintenance of law and order” police personnel are dependent on technology. Welcoming the era of pro-active policing, police has become adroit in using the progressive world of technology. Initially, police used batons, whistles, rattles, telegraph and now police has technology like wireless systems, Global Positioning System, sophisticated side handled batons, forensic checking, bullet proof jackets, etc. in the era of e-governance where police stations have websites and provisions like e-First Information Report. This paper explores the challenges faced in the use of technology during policing; and also to assess its impact on the police personnel of the two cities of eastern India. This is an empirical study conducted on the police personnel of police commissionerate of two cities of eastern India. The sample consists of fifty police personnel serving under the police commsionerate. The primary data was collected using face to face interview and perusing through Bureau of Police Research and Development reports. Secondary data has been collected from books, journals, articles, internet sources and newspapers.
International Conference on Science, Infrastructure Technology and Regional Development

First of all, I like to thank to the Rector ITERA/Institut Teknologi Sumatera for a great support of making ICoSITeR/International Conference on Science, Infrastructure Technology and Regional Development 2018 possible and realized.
Development and Structure of Professional Competences in The Conditions of Continuing Economic Education

Introduction. The transition of the Russian Federation to market economy necessitated economic training of specialists for successful work in the new socio-economic conditions. Methods. The efficiency of economic education is regarded in the context of vocational training, taking into account a set of factors that allow considering economic education as a component of global education. Results. Basing on generally accepted principles of continuing education (basic general education, multilevel structure, diversification, complementarity of general, professional and postgraduate education, versatility, succession, integration of educational structures, flexibility of organizational forms), the authors pay special attention to economic competence drawing on the market economy requirements in the preparation of competitive specialists. Discussion. The principle of economic competence establishes the relationship between knowledge as information and knowledge as an activity necessary to form a competitive specialist with a certain level of economic competence in the course of professional education. Conclusion. Continuing economic education is an obligatory component of continuing vocational education. In the context of market economy, it is focused on the formation of competitive in-demand specialist, possessing necessary economic competences, which are formed in the course of economic training and economic education in vocational education institutions.
The Public Sentiment and Emotional Variations in Social Media using Twitter Dataset

The collection of applications (internet followed) that provide way to create communication of user-generated matter by the social media (Twitter, Facebook, Whatsapp, etc.,). Twitter is the micro-blogging platform. Thoughts and opinions about different aspects are shared by users. Analysis on sentiment expressed in a piece of text which expresses opinions, towards a particular topic, product, etc. (positive, negative, or neutral). Primary issues are previous techniques that have biased classification accuracy, due to data distribution in a non-balanced way. The existing methods are applied over small dataset which cannot be extended for generalization with expected accuracy. "Curse of dimensionality” still exists with higher number of attributes in existing methods. Weaker classification in non-linear context. Limited use of transforms (kernels) for linearity in higher dimensional spaces and lack of parameter tuning. In most of the real time dataset the neutral class is very high. The proposed system is the framework for text mining to handle theme extraction from twitter opinion dataset. The Learning models to be built using the Support Vector Tool (SVT) classification method with a kernel trick applied with composition using unigram, bigram and hybrid (unigram + bigram) features. The performance to be obtained by tuning the internal parameters. The result shows that SVT linear kernel with hybrid features are the best classifier when compare to other classifiers with maximum accuracy from the twitter opinion dataset.
Gender Estimation on Social Media Using Recurrent Neural Network

With the development of instant messaging innovation and social media, protection has turned into a significant issue. There is a danger of one’s record being hacked and utilized by the unknown person unconsciously. While doing texting on social media many people use abbreviations, short messages, emojis, images. We tried with different methods to gain the best accuracy in this research. In this paper, we will attempt to check the personality of the individual based on his/her composing style. We will explore the possibility of predicting the gender of a writer utilizing semantic proof. For this reason, term and style-based grouping strategies are assessed over an enormous accumulation of text messages. This study depicts the development of a huge, multilingual dataset named with gender, and examines factual models for deciding the gender of unknown Twitter clients. Twitter gives a basic method to clients to express sentiments, thoughts and assessments, makes the client produced content and related metadata, accessible to the network, and gives simple to utilize web and application programming interfaces to get to the information. The fundamental focal point of this paper is to gather the gender orientation of the client from unstructured data, including the username, screen name, depiction and picture, or by the client produced content
Classification of Breast Cancer Histopathology Images using Machine Learning Algorithms

Machine Learning (ML), provides system the capacity to learn instinctively and allows systems to improve themselves with past experience and without being programmed specifically. In the field of Medical Science, ML plays important role. ML is being used to develop new practices in medical science which deals with huge patient data. Breast Cancer is a chronic disease commonly diagnosed in women. According to the survey by WHO, rank of breast cancer is at number one as compared to other cancers in female. BC has two kinds of tumour: Benign Tumour (BT), and Malignant Tumour (MT). BTs are treated as non-cancerous cells. MTs are treated as cancerous cells. The unidentified MTs in time stretch to other organs. Treatment procedure for BT and MT is different. So, it is salient to determine precisely whether a tumour is BT or MT. In this proposed model, Histopathology Images are used as dataset. These Histopathology images are pre-processed using Gaussian Blur and K-means Segmentation. The pre-processed data fed into feature extraction model. ML algorithms such as Support Vector Machine (SVM), Random Forest (RF) and Convolution Neural Network (CNN) are applied to extracted features. Performance of these algorithms is analysed using accuracy, precision, recall and F1-score. CNN gives the highest accuracy with 87%.
Technology and the Rule of the Crowd

In this chapter, the author discusses similarities and differences between blockchain and democracy. Beginning with an account of Jerry Brito's efforts to promote bitcoin and other cryptocurrencies in policy circles, the chapter then goes on to explore the ways in which blockchain attempts to emulate democratic government, but also the ways in which it falls short.
Electric Circuits: Hypergraph Categories and Operads

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administrasi layanan khusus

Special service administration is one of the facilities or needs that are very needed in the level of education, because this service not only helps students but also can help other education personnel, some of its services are student health units, dormitories, lab., and many more, with this service will be able to facilitate the activities of students and education staff.
Processor Performance

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Next Gen Farmer: An Efficient Trust Based Recommender System for Agriculture

Collaborative Filtering (CF) technique is a major method among the proposal strategies. Regardless of its prosperity, despite everything it experiences a few shortcomings proportional to information meagre condition and operator cold-begin issues prompting poor suggestion precision and decreased inclusion. Trust-based suggestion ways of consolidating the additional information as of the user community conviction organize keen on co-operative separating and may be advanced in explaining such disputes. This paper will provide the best way to utilize trust with community separating to determine the disputes and develop the outcomes.
holarchy

This work is an online installation that creates a new audio-visual using automatic video selection with deep learning.
Requirements Definition

A typical requirement analysis will normally include some degree of user consultation, which is not the case in this project as the “opportunity” is based on observed trends, data and recommendations from institutions such as the ITU, UN, WEF and the World Bank Group.
Modeling of Internal Context for agriculture in Pervasive Environment

Context Awareness is an essential feature in the pervasive computing systems. Internal and external context will play a major role. Internal context modeling using OWL for precision agriculture is described here. This provides an upper context ontology which captures general concepts about basic context. The modeling grows in a domain specific hierarchical manner. Visualization of the model is incorporated in this paper to check the consistency of context information. In this paper we have designed a model for agricultural farming interface and created stories using SAP Lumira tool. This helps farmers in analyzing and visualizing the effect and when to change the strategy of farming. This paper discuss the importance of using ontology measures for modeling context information and presents the design, implementation and applications of an interpreter based on ontology. The proposed model infers new internal context information and the effect of visualization models in farming.
Representation of Data for Machine Learning in MATLAB

By default, all variables in MATLAB are double precision matrices. You do not need to declare a type for these variables. Matrices can be multidimensional and are accessed using 1-based indices via parentheses.