Reviewerly/exHarmony huggingface dataset:
Software Defined Storage Implementation Model to Data Centers

This research focuses on deliver a SDS implementation model that facilitate the definition of requirements to be delivered in a timely manner to systems. Software Defined Storage (SDS) enables different hardware technologies to be homogenized and deliver independent storage. The technologies included on the implementation model are the open-source projects Red Hat Gluster Storage and Red Hat Ceph Storage. Both technologies are integrated into a virtualization platform, it is compared at a functional and economic level with respect to some enterprise solutions and it is shown that the same operations are performed as a viable technological alternative. The favorable results of the model are presented and the great benefit that open-source technologies have open scope that allows it to be integrated into other projects is presented.
Conclusions

This book focuses on developing an overall system for summarizing opinions based on aspects. There are mainly three pieces of work.
Inclusione, valutazione e plurilinguismo: concetti inconciliabili?

The aim of this paper is to define the relationships between three fundamental dimensions of educational linguistics: inclusion, assessment and plurilingualism, reflecting in particular on the intersections between these three dimensions. It then describes the EVAL-IC project, an example of a tool for the assessment of plurilingual competencies in intercomprehension, and shows the results of a preliminary analysis of some data from the EVAL-IC test. This proposal for plurilingual assessment represents an important step towards the integration of plurilingual education, inclusion and assessment.
QoS Based Ranking For Web Search

Text, link and usage information are the most commonly used sources in the ranking algorithm of a web search engine. In this thesis, we argue that the quality of the web pages such as the performance of the page delivery (e.g. reliability and response time) should also play an important role in ranking, especially for users with a slow Internet connection or mobile users. Based on this principle, if two pages have the same level of relevancy to a query, the one with a higher delivery quality (e.g. faster response) should be ranked higher. We define several important attributes for the Quality of Service (QoS) and explain how we rank the web pages based on these algorithms. In addition, while combining those QoS attributes, we have tested and compared different aggregation algorithms. The experiment results show that our proposed algorithms can promote the pages with a higher delivery quality to higher positions in the result list, which is beneficial to users to improve their overall experiences of using the search engine and QoS based re-ranking algorithm always gets the best performance.
Privacy Preserving Data Mining with Multi Keyword Ranked Search for Medical Data

Privacy Preserving Data Mining (PPDM) maintains the privacy of data stored in cloud. This work aims to protect outsourced data in cloud, and also permit multi keyword search over the encrypted data in a secure way by NLP process without downloading and decrypting all files. Different methods for privacy preservation were analyzed and randomization for multilevel trust is proposed along with an efficient method for keyword search in cloud.
Immersive Journalism Design Within a Transmedia Space

The purpose of this chapter is to contribute to the theoretical frame of transmedia journalism by proposing a question-based model that focuses on transmedia design when an immersive journalism piece is integrated into a transmedia space. Immersive journalism is a new medium that could be effectively used to foster social empathy by means of virtual reality stories in journalism. The chapter is guided by the following ideas: (1) narrative strategies that may be useful in the design of immersive journalism experiences; (2) aesthetic principles of immersive experiences; and (3) inclusion of an immersive experience in a transmedia space. Thus, this chapter reviews the narrative techniques and aesthetics of immersive experiences that might contribute to the design of both the immersive piece and the transmedia space.
Attack Surface by Cory Doctorow

Reviewed by: Attack Surface by Cory Doctorow April Spisak Doctorow, Cory Attack Surface. Tor, 2020 [384p] Trade ed. ISBN 9781250757531 $26.99 E-book ed. ISBN 9781250757524 $13.99 Reviewed from digital galleys R Gr. 9-12 Masha is well aware of her own value: almost no one knows their way around a computer, particularly surveillance tech, better than her. She's been used by a shady cybersecurity firm since her early adolescence for these skills, and she's [End Page 80] made peace with her objectively distasteful work for oppressive governments by sometimes using hacks against her own privacy-invading tools to help her friends. Of course, that's a temporary solution, and even piles of money can't keep Masha from realizing that she's helped to create a situation where legitimate protestors are now in danger no matter how she tries to help them keep off the grid. This is a standalone novel, but the setting is familiar from Little Brother (BCCB 11/08) and Homeland, and fans will revel in recognizing familiar details in this world that exists just a skip ahead of our own. This is Doctorow at his most technologically indulgent, and the lengthy passages of exuberant detail will especially please readers fascinated with tech and spyware. However, the core story is one of longing, isolation, and the ways we twist ourselves to survive, and any lingering confusion about Masha's tech is less important than the starkly told and elegant narrative of a young woman realizing that tossing good acts out to balance bad work is a poor alternative to being grounded and worthy in the world. Copyright © 2020 The Board of Trustees of the University of Illinois
An improved cuckoo search combing artificial bee colony operator with opposition-based learning

Aiming at the existed drawbacks of the cuckoo search (CS) algorithm, an improved CS combing artificial bee colony operator with opposition-based learning (ICS-ABC- OBL) is proposed to overcome the problems of low convergence efficiency and weak ability to jump out local optimum. The proposed algorithm uses the artificial bee colony (ABC) operator to replace the random migration stage for improving the local exploitation efficiency of the CS algorithm. On the other hand, the opposition-based learning (OBL) operator and dynamic search domain adaptively are introduced, the modified ICS-ABC-OBL can effectively avoid falling into the local optimum by expanding the search solution space and enhancing the balance between exploration and exploitation of the CS algorithm so that the convergence accuracy and efficiency of the algorithm are further improved. Finally, ten classic benchmark functions are used to test the effectiveness of the proposed algorithm. The results show that the ICS-ABC-OBL has strong robustness and adaptability.
Exploring the influencing factors of learning management systems continuance intention in a blended learning environment

With the emergence of learning management systems (LMS), many higher education institutions have adopted a blended learning approach. LMS can be used as a tool to support blended learning activities to help learners achieve their learning outcomes. This study focuses on continuance use intention towards LMS in blended learning environments. Several relevant factors have been identified to examine users' continuance intention to use LMS in a blended learning environment including educational quality, service quality, technical system quality, information quality, users' confirmation, and satisfaction. Partial least squares-structural equation modelling (PLS-SEM) was employed to validate the proposed model and hypothesis. This study has provided evidence that users' satisfaction on services, technical system, and information quality directly impacts users' decisions to continue using LMS. Therefore, for students' satisfaction, higher education institutions may need to consider the influencing factors before implementing a blended learning environment with LMS.
Message from the Blockchain 2020 Steering Chairs

Message from the Blockchain 2020 Steering ChairsWelcome to the 3rd IEEE International Conference on Blockchain (Blockchain-2020).It is our great pleasure and honor to hold Blockchain-2020 virtually due to COVID-19 pandemic on November 2-6, 2020.On behalf of the Blockchain steering committee and Blockchain-2020 organizing committee, we would like to express our cordial welcome and high respect to all participants.With the rapid growth in blockchain technology, the past decade has witnessed a proliferation of blockchain driven applications and an ever-increasing demand for practice of high performance blockchain systems.Blockchain has moved into the mainstream of communication, computation and storage, and has become a key technology in reshaping future research and development activities in many academic and industrial fields, especially when a solution must cope with decentralization in a distributed and untrusted environment.Blockchain-2020 is a continuous event following the great success of IEEE Blockchain 2019, held in Atlanta, USA, IEEE Blockchain 2018, held in Halifax, Canada.It aims to provide a high-profile, leading-edge forum for researchers, engineers, and practitioners to present latest advances and innovations in key theories, infrastructure, schemes, and significant applications for the blockchain, as well as to identify emerging research topics and define the future.An international conference can be organized by supports and great voluntary efforts of many people and organizations and our main responsibility is to coordinate various tasks carried out with willingness and by talented volunteers.
Intake

OpflowVolume 47, Issue 5 p. 2-2 Departments Intake First published: 03 June 2021 https://doi.org/10.1002/opfl.1539Read 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, Issue5June 2021Pages 2-2 RelatedInformation
Effective Quality Of Service Browsing For Web Service Selection

The growing number of Services on the Web has made locating desired Web Services a sizable challenge. Web Service requestors deem a Quality of Service (QoS) based Web Service selection important in terms of providing a relevant and user centric service selection experience. In this thesis an interactive QoS based Web Service browsing mechanism is proposed, which makes use of three clustering algorithms including vector-based, preference-based and weighted clustering. We use symbolic interval data as the principle representation of QoS attributes. The browsing mechanism which was implemented as part of this research allows service requestors to prioritize their search by hierarchically clustering their web services. This is done in order of their preferences and also by attaching a weight to each QoS attribute, which is a beneficial compromise between performance-high preference-based clustering and time-efficient vector-based clustering, Along with several extensive experiments, a user study was conducted in order to test the usability of this browsing mechanism and to test the overall efficiency and performance of the three clustering algorithms in comparison. The result of the experiment led to evidences that preference-based browsing approach was the most efficient one when compared to vector-based or weighted clustering approaches.
Preface

prefatory Share on PrefaceIntelligent Computing for Interactive System Design: Statistics, Digital Signal Processing, and Machine Learning in PracticeFebruary 2021 Pages xv–xvihttps://doi.org/10.1145/3447404.3447405Online:23 February 2021Publication History 0citation3DownloadsMetricsTotal Citations0Total Downloads3Last 12 Months3Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Areas related to copyright: moral rights, performers’ rights, artist’s resale rights, and other rights

The fourth edition of Australian Intellectual Property Law provides a detailed and comprehensive, yet concise and accessible discussion of intellectual property law in Australia. This edition has been thoroughly revised to cover the most recent developments in intellectual property law, including significant case law and discussion of the proposed and enacted amendments to the Copyright Act 1968 (Cth), the Patents Act 1990 (Cth) and the Plant Breeder's Rights Act 1994 (Cth). The text has been restructured, but continues to provide a complete discussion of the black-letter aspects of the law. Commencing with copyright, then followed by design law, confidential information, patents, plant breeder's rights, then finally trade marks. The work ends with a chapter on enforcing legal rights and civil remedies. Written by highly-respected intellectual property law researchers this text is an invaluable resource for both undergraduate and postgraduate students, academics and other professionals working with intellectual property.
Text Compression

The chapter is devoted to several methods of the practically important area of conservative text compression. The first eight problems concern different types of text compression: Burrows- Wheeler transform, Lempel-Ziv coding, Huffman coding and Run-length encoding. They are completely different but used in common situations. In particular there is a problem about efficient arithmetic operations on really large numbers given in their run-length encoding. In the same spirit several unrelated but interesting problems are presented about compacted automata representing all factors of special words, about pattern-matching in compressed words, about compressing suffix arrays and about the compression ratio of greedy superstrings. All these problems show how to deal with large data using compression.
Entanglement Between Atom Ensembles

This chapter introduces the notion of entanglement, methods of detection, and various types of two atomic ensemble entangled states. Bipartite The bipartite system constitutes is the simplest and most straightforward way of understanding entanglement, where there is a well-developed theory of detecting and quantifying it. We discuss how von Neumann entropy and negativity are two simple and powerful quantifiers of entanglement in pure and mixed systems, respectively. In the absence of a way to topographically reconstruct the density matrix, other correlation-based entanglement criteria are important practically, since they only involve the measurement of some key correlations. Various approaches to this are introduced, such as the Duan--Giedke--Cirac--Zoller criterion, Hillery--Zubairy criteria, entanglement witness approaches, and covariance matrices. Finally, two types of squeezed states for two atomic ensembles are introduced, : namely the one-axis two-spin and two-axis two-spin squeezed states are introduced.
Quantum Machines

If we are given quantum information in the form of qubits in a particular state, we have seen that we can process that information by sending the qubits through different sequences of gates. A particular collection of gates constitutes a quantum machine that manipulates the information encoded in the qubits in a particular way. A quantum machine can either perform a single task, or, if it is programmable, a number of different tasks, the exact task depending on the program.
Distance learning as an emergency strategy: Students’ opinions about its implementation during the COVID-19 pandemic

The COVID-19 pandemic is a health phenomenon that disrupted all aspects of life in society (political, economic, social, and cultural substrates of humanity). The educational field has not been the exception. The abrupt change from a traditional educational model to a virtual teaching model impacted all the educational systems globally. Social inequalities and the enormous digital divide have become evident in this emerging virtual learning period to a greater or lesser degree. In Mexico, the INEGI, through its ECOVID-ED survey, has released problematic results in the education indicators of the Education Institutions. In this sense, the study presented here aims to analyze the effects of distance education as an emerging strategy from the students’ perception and assessment of this modality, for this information to be helpful to guide the design of educational processes that contribute to the improvement of inclusion and equity in higher education institutions (HEIs). We applied a three dimensions’ questionnaire to students in two public universities in the west-central region of Mexico: Students’ characterization; Students’ adaptability to a virtual modality; and the dimension referring to the transformation of the didactic strategies and digital platforms and the student’s perception about possible improvements to those strategies in two public universities in the west-central region of Mexico. The results show that students’ distance education assessment is affected by their perception of the teacher’s digital skills, mastery of the subjects taught, and didactic strategies’ attractiveness, minimizing their responsibility for learning in this modality.
Chapter 4: Hard Thresholding and Other Approaches

In this chapter, we assume that the sparsity of the solution of an underdetermined linear system is known or that we can make a reasonable guess. This information is critical in determining the convergence of the following algorithms. As we shall see, with this information, we are able to design several convergent algorithms with a known convergence rate and an estimate of how many iterative steps are needed to achieve accuracy under the assumptions of the RIP.
URAL AS THE PLACE OF «REAL» AND «CLASSICAL» EDUCATIONAL PRACTICE CONFRONTATION IN THE PERIOD OF GREAT REFORMS: PERM VARIANT OF POLYTECHNIC EDUCATION

Any reforms in education begin with the sacramental question: what should prevail in the contents of educational process -fundamental or applied knowledge.The struggle for the fate of the Russian school between "realists" and "classics" is still completed neither by the victory nor by defeat.Vibrations of the social opinion and state educational policy with respect to these uncompromising opponents look like pendulum oscillation of which will never finish.Dramatic trouble of the fight for the "real" education in the Ural Region in 60s-70s of XIX century which went down in history as the period of "Great Reforms" have been reconstructed in this article.The problem of specialists training and level of their proficiency was very sharp in industrial regions of the Russian Empire, including the Ural Region.In Perm province which was the core of the Ural mining industry developed original system of professional education, however, this system was practically destroyed as a result of the revolutionary reforms and deep changes in social-economic, social-political and spiritual life of the country.Moreover, in the investigated period the sound substitution was not practically occurred.Reforms of Alexander II created the new system of education and those two decades became the origin for its further development.So, most researchers payed close attention to the further development of the contemplated at that transition period tendencies and processes.On the basis of already known and newly introduced in scientific use both published and unpublished sources it is considered in the article, on the one hand, inconsistent and uncertain steps of the government and on the other hand, private and social initiatives connected with the development of professional and engineering education in Perm province.Limited territorial frames do not prevent the analysis of formation of the new educational institutions and make possible to consider more profoundly the peculiarities of professional education transformation in the epoch of great changes.
Analysis of investment educational programs implemented in the Russian-Chinese cooperation projects “One belt - one way”

The investment strategies of Russia and China in the development of human capital are analyzed through educational programs implemented in the international projects “One Belt, One Way”, “Global Education”, “SCO University” (Shanghai Cooperation Organization). The problems of incongruence of the national qualifications framework, international professional and public accreditation of educational programs are considered. The target export models of educational services of Russian and Chinese universities are analyzed.
Cover

Meteoritics & Planetary ScienceVolume 55, Issue 9 p. i-i Cover Cover First published: 12 October 2020 https://doi.org/10.1111/maps.13335AboutPDF 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 Abstract Volume55, Issue9September 2020Pages i-i RelatedInformation
Forensic Prediction using Bias-Variance Tradeoff and Random Forest Algorithms

Every individual host after death has its own altered micro biome configuration. After death, postmortem microorganism communities change to represent the attributes of death. The micro biome act as a many roles in human health, usually done by the exclusive lens of clinical interest. By scouring 5 anatomical areas throughout regular demise exploration from 188 case to predict the Postmortem Interval (PMI), location of death and manner of death, the postmortem micro biomes were collected. The micro biome sequencing are not easy to analyze and interpret because it produces large multidimensional dataset. To overcome the analytical challenge Machine learning method can be used. The two supervised machine learning methods employed here are Random Forest and Bias-Variance Tradeoff. In training datasets, Random forest algorithm is applied. This algorithm makes predictions by choosing the most voted node from each decision tree as the output. The output is checked for any bias variance error, by the Bias-Variance Tradeoff algorithm in order to help the supervised learning algorithm to perform generalization beyond the training datasets. To obtain a prediction that is best fitted and accurate, these two algorithms are chosen for learning.
Digital

Humankind has been storing data since the Bronze Age. We have thrived and succeeded across civilizations and times thanks to our ability to learn from our own experiences and from the teachings of others before us. Our information obsession has made us turn to digital everything that exists, and for those objects that were biological or analogue, we have fitted them with sensors and extracted all the informational value that they always possessed, a treasured commodity that is allowing us to transform not just the automotive industry but an entire periphery of synergistic sectors like insurance and healthcare as well as the future of cities and how they serve and accommodate their dwellers.