Reviewerly/exHarmony huggingface dataset:
Contemporary Artificial Art and the Law

The advent of Artificial Intelligence as an “autonomous author” in the various modes of Arts urges the law to rethink the traditional concepts of authorship, originality, and creativity. AI-generated artworks are in search of an author, so to speak, because current copyright laws only offer the solution of the public domain or fragile regulatory mechanisms. Several adjustments have globally led copyright laws to cover new forms of authorship as well as new sorts of works. Yet, the romantic idea of a lone individual as the master of creativeness still influences theoretical elaborations and normative choices. Throughout the 20th century, visual artists have been posing persistent challenges to the law: conceptual art and dematerialization have favored legal mechanisms alternative to copyright law. The case of AIart is, however, different: for the first time, the art world is discovering the perspective of an art without human authors. Rather than preserving the status quo in the legal world, policy makers should consider a reformative conception of AI in copyright law and take inspiration from innovative theories in the field of robot law, where new frames for a legal personhood of artificial agents are proposed. This would also have a spill-over effect on copyright regulations.
A Survey on Crypto-Steganographic Schemes and A Use Case in Healthcare System

Information sharing has become prevalent due to the expansion of social networking in this 21st century. However, electronic devices are vulnerable to various kinds of attacks. Information might be disclosed, modified and accessed by an unauthorised third party which consequently leads to the breach of confidentiality, integrity and availability of the information. Therefore, it is of utmost importance to employ the technology of cryptography and steganography to protect information assets. Cryptography and steganography have weaknesses when they are working alone. Therefore, crypto-steganography, the combination of cryptography and steganography are introduced to overcome the weaknesses in order to provide a double layer of security and protection. This paper provides a general overview of steganography and cryptography as well as a comparison analysis of different crypto-steganographic schemes. A secure crypto-steganographic system for healthcare is then developed with the implementation and integration of the secure crypto-steganographic scheme proposed by Juneja and Sandhu. This healthcare system enables users to store and deliver message in a more secure way while achieving the main goals of both cryptography and steganography.
Learning from Random Samples

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“There Is No Doubt That I Learn a Lot About the Technology I Am Involved With but Also Being Involved as a Leader Propelled Me Forward in My Career Too. No Doubt.”

Plastics EngineeringVolume 75, Issue 5 p. 6-7 SPME “There Is No Doubt That I Learn a Lot About the Technology I Am Involved With but Also Being Involved as a Leader Propelled Me Forward in My Career Too. No Doubt.” First published: 08 May 2019 https://doi.org/10.1002/peng.20119Read the full textAboutPDF ToolsExport 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. Volume75, Issue5May 2019Pages 6-7 RelatedInformation
Graph Pattern Mining

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Bayesian Networks and Cyber-Crime Investigations

This chapter discusses the use of Bayesian networks (BNs) in analysing and understanding cyber-crimes from a digital forensics perspective. After initially providing some essential background material, the next section introduces Bayes theorem and the notion of conditional probability, followed by a description of the construction and operation of Bayesian networks. The following sections demonstrate the application of Bayesian networks to a number of actual cyber-crimes from the Hong Kong Special Administrative Region, illustrating the various quantitative measures, such as posterior probabilities and likelihood ratios,that can be obtained from them. The sensitivity of these measures to variations in the parameters associated with their respective Bayesian networks are also discussed, and their utility in aiding the construction of economically near-optimal triage schemes is emphasised in the context of developing cost-effective digital investigation schemas. In the final section, the contributions that Bayesian network analysis can offer to both the digital forensic investigation process and the juridical legal process are summarised. [180 words]
Two Parallel Pipelined FFT Architecture After Third Stage for Low Complexity and Latency

Complexity is the major issue in the development of pipelined Fast Fourier Transform (FFT) structure. A novel parallel pipelined FFT design constructed for low complexity and Latency. The proposed structure efficiently uses pipeline and parallel pipeline in the design. The first three stages of the structure follow the pipelining and from fourth stage there are two parallel paths simultaneously compute four complex additions, the first three single path stages that reduces complexity, parallel pipeline stages at the end of structure also reduces the Latency. The proposed structure is an optimized solution to reduce the trade-off between Latency and complexity. The comparative performance of the proposed structure with several other existing structures shows that it has Low latency with small cost of hardware.
A systematic literature review and taxonomy of modern code review

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.
An efficient algorithm and tool for detecting dangerous website vulnerabilities

Web applications are progressively developing and applied in most aspects of life. However, there exist a variety of dangerous website security vulnerabilities such as SQL injection and cross-site scripting. This creates the opportunity for hackers to exploit and attack websites for commercial or political purposes or fame. Some research and commercial software have been developed for scanning and detecting those vulnerabilities. In this paper, we present an efficient algorithmic study and tool to detect web security vulnerabilities. Experimental results show that the new method is capable of detecting vulnerabilities with high accuracy. Compared to popular commercial software on the market, our tool has faster performance and can detect a number of less common vulnerabilities such as shell injection, or file inclusion.
Cloud Security Using 2-Factor Image Authentication Technique

Cloud computing is being anticipated as the infrastructural basis of tomorrow's IT industry and continues to be a topic of interest of many new emerging IT firms. Cloud can deliver resources and services to computers and devices through internet. Since Cloud Computing involves outsourcing of sensitive data and critical information the security aspects of cloud need to be dealt carefully. Strong authentication, focusing mainly on user-authentication, acts as a pre-requisite for access control in the cloud environment. In this paper we discuss an efficient authentication mechanism to deal with the security threats that are faced by cloud. The method proposed in this paper prevents the confidential data and information of end users stored in a private cloud from unauthorized access by using a two-factor authentication involving shared image concept in addition with encrypted key authentication.MD5 hashing technique is used which takes binary pixel value of image as input and convert it into a 128-bit hash value. The overall process of authentication has been shown through experimental result and implementation which shows a series of snapshots taken from the chapter.
Introduction

The debate on the necessity of government interventions in economic activities has been well documented in the literature of developmental macroeconomics. Certain studies strongly argue that government should actively participate in economic activities, because it promotes growth, but other studies postulate that government intervention is detrimental to economic activities. Further, yet others recommend the government interventions up to a certain limit (or threshold), after which they are not desirable to the economy as a whole. Given these debates, this book aims to freshly examine whether government intervention is required to different classes of economies – and if so, in what magnitudes – through theoretical and empirical observations. This chapter overviews the key issues in the field and the basic themes and structure of the book.
Experimental Observation of P T. Soliton Collapse in 2D Synthetic Lattice

Using standard telecommunication equipment, we experimentally realize Parity-Time symmetry in a two-dimensional synthetic lattice with tunable gain, loss and phase structure. The fiber nonlinearity enables P T PT soliton collapse as an amplified, self-accelerating nonlinear wave packet.
Arabic Authorship Attribution Using Synthetic Minority Over-sampling Technique and Principal Components Analysis for Imbalanced Documents

Nowadays, dealing with imbalanced data represents a great challenge in data mining as well as in machine learning task. In this investigation, we are interested in the problem of class imbalance in Authorship Attribution (AA) task, with specific application on Arabic text data. This article proposes a new hybrid approach based on Principal Components Analysis (PCA) and Synthetic Minority Over-sampling Technique (SMOTE), which considerably improve the performances of authorship attribution on imbalanced data. The used dataset contains 7 Arabic books written by 7 different scholars, which are segmented into text segments of the same size, with an average length of 2900 words per text. The obtained results of our experiments show that the proposed approach using the SMO-SVM classifier, presents high performance in terms of authorship attribution accuracy (100%), especially with starting character-bigrams. In addition, the proposed method appears quite interesting by improving the AA performances in imbalanced datasets, mainly with function words.
Cashless Canteen Management System

The ultimate aim of the cashless canteen management system is to automate the existing traditional system which is manual, with the support of computerized equipment and full-featured computer applications, so that their valuable data can be retained for a prolonged period of time with quick access and management. The appropriate software and hardware are readily accessible and easy to use. There is a huge line in the institution cafeteria throughout the break. From the wait at the payment desk to the serving point, a ton of time is spent waiting for the food, because of which, students and the faculty get late for their lectures. All teachers and students do want to figure out a way to that or get rid of this waiting period. One way to resolve the issue would be to have a software arrangement in which, once the order has been put, it can be projected directly on the cafeteria monitor. This will prevent out the time people spend at the payment desk as the server needs time to fulfill the previous orders before taking a fresh receipt and setting it up in the cafeteria. Even, we could have the program to post orders in such a manner that his / her order is processed ready for the particular period that he / she prefers. The time wasted on waiting for change can also be diminished by enabling online payment. The project's main objective on Cashless Canteen Management System is to manage canteen, product, and sales information. It manages all the details of canteen, product, orders and users. The project is completely built at the administrative end and thus only admin is guaranteed the access.
Index to Volume 43

Geostandards and Geoanalytical ResearchVolume 43, Issue 4 p. 715-718 Index to Volume 43 Index to Volume 43 First published: 19 November 2019 https://doi.org/10.1111/ggr.12302AboutPDF 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 Volume43, Issue4Special Issue Section: Geoanalysis 2018December 2019Pages 715-718 RelatedInformation
Stretchable Wireless Sensor Could Monitor Healing of Cerebral Aneurysms

Biomedical Safety & Standards 50(2):p 9-11, February 01, 2020. | DOI: 10.1097/01.BMSAS.0000652988.33040.a6
PSYCHOLOGICAL AND PEDAGOGICAL CONDITIONS FOR THE FORMATION OF JUNIOR SCHOOLCHILDREN’S SOCIAL SUCCESS IN THE LEARNING PROCESS

It is proved in the article that personality had to be able to think, constructing logical reasoning with the help of concepts, judgments and inferences, and the ability to interact constructively with others, working in a team, to succeed in the society. The content and structure of social success of a child of primary school age are presented. This concept is proposed as an integrated quality, which consists of three components: motivational, instrumental and emotional and behavioral. The motivational component is characterized by the presence of the need for knowledge, the desire to succeed. The instrumental component covers three components: cognitive (systematized program knowledge; developed conceptual, divergent, critical thinking); operational (intellectual, intellectual and cognitive, research, intellectual and creative skills); evaluative and effective (reflection and adequate self-esteem). The emotional and behavioral component of social success of junior high school students is represented by the following components: value (presence of value orientations), emotiona and volitional (developed emotional intelligence, respect, sensitivity to others, self-control, volitional qualities), communicative (developed social intelligence). Psychological and pedagogical conditions are characterized as a mechanism of formation of social success of a child of primary school age in the process of studying in the Institutions of general secondary education (IGSE), namely: dominance of problem searching dialogue between teachers and students and between students in the educational process of primary classes; implementation of the course “Logic” in the educational process of primary school in 2–4th classes and tasks related to the content of the course “Logic” on lessons in Humanities and Natural Sciences and Mathematics cycles; creating tasks for joint learning activities, providing “I am – the inclusion” of each pupil in joint work. The mission of the course “Logic” in the content of primary education is described; the techniques of organization and implementation of problem searching dialogue between the subjects of the educational process, the organization of educational activities in a team are revealed.
WAVELETS AND THEIR APPLICATION IN IMAGE PROCESSING WITH FUTURE RESEARCH PROSPECT

The past decade has witnessed the development of wavelet analysis, a new tool that emerged from mathematics and was quickly adopted by diverse fields of science and engineering. In the brief period since its creation in 1987-88, it has reached a certain level of maturity as a well-defined mathematical discipline, with its own conferences, journals, research monographs, and textbooks proliferating at a rapid rate. Wavelet analysis has begun to play a serious role in a broad range of applications, including signal processing, data and image compression, solution of partial differential equations, modelling multiscale phenomena, and statistics. There seem to be no limits to the subjects where it may have utility.Our aim is to explore some additional topics that extend the basic ideas of wavelet analysis
Research and Practice on Software Engineering Curriculum Group Construction Based

With a professional certified background of engineering education, this paper takes software engineering students as the implementation object and introduces the concept of Outcome Based Education (OBE) into the curriculum group construction of software engineering. This paper analyses the significance and objectives of the curriculum group construction and gives the ideas, curriculum system, teaching staff construction, practical teaching, closed-loop monitoring and guarantee system of teaching quality to strengthen the cultivation of students' professional ability. This paper cultivates students' innovative thinking and practical ability to solve complex engineering problems, enhance the market competitiveness of graduates, and provide a good foundation for the smooth implementation of software engineering professional certification.
Literature Overview

AVs can be defined as those in which at least some safety-critical aspects occur without direct driver input Villagra et al. in Intelligent vehicles. Elsevier, pp 275-342, 2018 [74]). In other words, an AV is able to, at least partly, perform a driving task independently of a human driver.
Upcoming meetings

Artificial OrgansVolume 44, Issue 3 p. 345-345 UPCOMING MEETINGS Upcoming meetings First published: 18 February 2020 https://doi.org/10.1111/aor.13648Read 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. Volume44, Issue3March 2020Pages 345-345 RelatedInformation
ANGOLA: Sonangol's Head Rolls

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 4 p. 22534A-22534B Policy and Practice ANGOLA: Sonangol's Head Rolls First published: 02 June 2019 https://doi.org/10.1111/j.1467-6346.2019.08885.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, Issue4June 2019Pages 22534A-22534B RelatedInformation
Retraction Note to: Recognition of pivotal instances from uneven set boundary during classification

The Editor-in-Chief has retracted this article [1], because it shows substantial overlap with a previously published article [2]. Author A. Suresh does not agree with the retraction. Author R. Varatharajan has not responded to correspondence about this retraction.
Multi-Array Multi-Phase Back-Projection: Improving the imaging of earthquake rupture complexities

&amp;lt;p&amp;gt;We present a teleseismic earthquake back-projection method parameterized with multiple arrays and combined P and pP waveforms, improving the spatiotemporal resolvability of rupture complexity. The contribution of each array to the rupture image is weighted depending on the multi-array configuration. Depth phases also contribute effectively to earthquakes at 40 km depth or deeper.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We examine 31 large earthquakes with moment magnitude greater than 7.5 from 2010-2020, which were back-projected in the 0.5-2.0 Hz band, giving access to the high-frequency rupture propagation. An algorithm estimates rupture length, directivity, and speed based on the back-projection results.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Thrust and normal earthquakes showed similar magnitude-dependent lengths and consistent subshear ruptures, while strike-slip earthquakes presented longer ruptures (relative to their magnitude) and frequently reached supershear speeds. The back-projected lengths provided scaling relations to derive high-frequency rupture lengths from moment magnitudes. The results revealed complex rupture behavior, for example, bilateral ruptures (e.g., the 2017 Mw 7.8 Komandorsky Islands earthquake), evidence of dynamic triggering by a P wave (e.g., the 2016 Mw 7.9 Solomon Islands earthquake), and encircling asperity ruptures (e.g., the 2010 Mw 7.8 Mentawai and 2015 Mw 8.4 Illapel earthquakes). The latter is particularly prevalent in subduction megathrust earthquakes, with down-dip, up-dip, double encircling, and segmented patterns. The automated choice of array weighting and the extraction of basic rupture parameters makes the approach well suited for near-real-time earthquake monitoring.&amp;lt;/p&amp;gt;
Conclusion and Future Work

This chapter provides a summary of the research work and contributions against the research objectives together with the conclusions as to what has been achieved. As well as recommending some future work directions for those interested in the field.