Reviewerly/exHarmony huggingface dataset:
Publisher's note: Conceptualization of Integrating Knowledge Blockchain and Big Data Analysis in Agriculture

This paper has been retracted and removed from IOPScience following a thorough misconduct investigation. This paper was written, submitted and published by the conference committee, not the named author, Yu-Pin Lin. The paper was also found to contain large portions of text from other sources. The investigation was completed according to COPE guidelines and it was agreed Yu-Pin Lin should be removed as an author and the article be retracted. The conference committee and Yu-Pin Lin agree to this retraction.
The Opportunities and Limitations of Human Computer Interaction in Virtual and Augmented Reality

Virtual Reality, Augmented Reality and other such immersive environments have gained popularity with the increase in technological trends in the past decade. As they became widely used, the human computer interface design and the designing criteria emerges as a challenging task. Virtual and Augmented Reality provide a wide range of appli-cations ranging from a primitive level like improving learn-ing, education experiences to complex industrial and medical operations. Virtual reality is a viable alternative that can be focussed on, in the future interface design development be-cause it can remove existing generic and complex physical interfaces and replace them with an alternative sensory re-layed input form. It provides a natural and efficient mode of interaction, that the users can work with.Virtual and Aug-mented reality eradicates the need for development of differ-ent acceptable standards for user interfaces as it can provide a whole and generic interface to accommodate the work set-ting.In this paper, we investigated various prospects of appli-cations for user interaction in Virtual and Augemnted reali-ties and the limitations in the respective domains. The paper provides an outline on how the new era of human computer interaction leading to cognition-based communications, and how Virtual and Augmented realities can tailor the user needs and address the future demands which replaces the need for command-based interaction between the humans and com-puters.
Integration of a quantum scheme for key distribution and authentication within EAP-TLS protocol

The extensive deployment of wireless networks has led to a significant progress in security approaches that aim to protect confidentiality. The current method for exchanging a secret key within 'extensible authentication protocol-transport layer security' (EAP-TLS) protocol is based on public key infrastructure (PKI). Although this technique remains one of the most widely implemented solution to authenticate users and to ensure secure data transmission, its security is only computational. In other words, by the emergence of the quantum computer, the existing cryptosystems will become completely insecure. Improving the contemporary cryptographic schemes by integrating quantum cryptography becomes a much more attractive prospect since its technology does not rely on difficult mathematical problems such as factoring large integers or computing discrete logarithms. Thus, we propose a quantum extension of EAP-TLS that allows exchanging a cryptographic key and authenticating a remote client with unconditional security, ensured by the laws of quantum physics. PRISM tool is applied as a probabilistic model checker to verify specific security properties for the new scheme.
User Authentication—Passwords, Biometrics and Alternatives

This chapter is on user authentication—humans being authenticated by a computer system. Chapter 4 addresses machine-to-machine authentication and related cryptographic protocols. The main topics of focus herein are passwords, hardware-based tokens, and biometric authentication. We also discuss password managers, CAPTCHAs, graphical passwords, and background on entropy relevant to the security of user-chosen passwords.
Constructing seven ququarts absolutely maximally entangled state via recurrence relation

Abstract Recently, Che and Wu (2019 Int. J. Theor. Phys. 58 584–90) presented a recurrence relation of multi-qubit states. Inspired by this, we present the recurrence relation of ququart maximally entangled states. Further, via the recurrence relation of six ququarts maximally entangled states, a seven ququarts absolutely maximally entangled state can be constructed. We also show this state is the three-uniform state of seven ququarts states.
Computer Vision-based Human Activity Recognition for Elderly Home Care

Video-based monitoring of elderly people at home receives more attention in recent days. In this paper, we propose a novel approach to develop smart monitoring system for elderly people using computer vision techniques. Gaussian Mixture Model (GMM) based algorithm is used for background and foreground separation inorder to track the activities of human object. The minimum bounding box of the human object is traced and features like major axis length, minor axis length and orientation angle are extracted. The proposed approach is evaluated on the video sequences of fall dataset.
Software Architectures

In Chapter 2, we started taking a look at some of the possible dos and don'ts around the design phase and introduced why software architectures are important. However, this aspect requires a deeper look. In particular, a strong emphasis on using design patterns properly is needed when dealing with architectures.
Touch Gestures

Allowing the user to control an app through buttons, switches, or segmented controls is handy, but all of these controls take up space on the screen. To eliminate the need for extra objects on the user interface, your app can also detect and respond to touch gestures that allow direct manipulation of items displayed on the screen.
Supplier’s Liability for Misleading Online Customer Ratings for Therapeutic Products

Journal Article Supplier’s Liability for Misleading Online Customer Ratings for Therapeutic Products Get access GRUR International, Volume 70, Issue 2, February 2021, Pages 189–193, https://doi.org/10.1093/grurint/ikaa173 Published: 21 December 2020
Eagle Pharm. Inc. v. Slayback Pharma LLC United States Court of Appeals of the Federal Circuit, 2020 958 F.3d 1171

Biotechnology Law ReportVol. 39, No. 4 As presented by Chris HolmanEagle Pharm. Inc. v. Slayback Pharma LLC United States Court of Appeals of the Federal Circuit, 2020 958 F.3d 1171Edited for Biotechnology Law Report by CHRISTOPHER M. HOLMAN*Published Online:17 Aug 2020https://doi.org/10.1089/blr.2020.29186.cmhAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 39Issue 4Aug 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:Eagle Pharm. Inc. v. Slayback Pharma LLC United States Court of Appeals of the Federal Circuit, 2020 958 F.3d 1171.Biotechnology Law Report.Aug 2020.328-331.http://doi.org/10.1089/blr.2020.29186.cmhPublished in Volume: 39 Issue 4: August 17, 2020Online Ahead of Print:July 8, 2020PDF download
MOP: Predicting Multiple Output in Multi-Sharing System

Cloud computing is relatively advanced field in which we believe resource utilization hasn't yet been optimized to its complete potential and inaccuracy of prediction leads to several minutes of delays in instant resource allocation due to scarcity of resources in Multi-Sharing System. In this paper, we develop Extraction of Transaction Log Files to Predict Multiple Output (MOP) in Multi-Sharing System based on resource utilization for higher accuracy using prediction techniques Random Forest and majority voting algorithms. The goal is to gratify upcoming resource demands and to avoid over or under provisioning of resources. The accuracy results show that the proposed model provides higher accuracy in predicting resource utilization for upcoming resource demands and prediction cost and time are reduced.
Semantics-based summarisation of ATM information

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Software Product Line Engineering for Safety-critical Systems

Nowadays, modern cars can be configured by means of a wide range of software configuration options.In this context, we speak about Software Product Lines (SPLs).In almost every modern automotive vehicle safetycritical components like, e.g., an Adaptive Cruise Control (ACC) are installed.Some SPLs have different safety-critical requirements whereas other SPLs have similar requirements.This paper proposes an approach for the reduction of the complexity of SPLs without loss of safety (aspects) for all participants.For this purpose, a concept has been developed, which clusters products of SPLs with similar safety-critical requirements, i.e., the set of products of an SPLs, which must still be tested, can be reduced immensely.The paper also provides an application example how the reduced set can be used in order to perform a Safety, Security and Timing (SST) based trade-off analysis.
Data Sharing

The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, and destroying data. A May 2019 NASN School Nurse article, “Data Governance and Stewardship,” addressed who is accountable for the data life cycle within a school system. This article will discuss data sharing, the ethics, and the steps that must be taken to share data responsibly. As discussed in the previous article, policies and procedures about data sharing are available in every school district. Frequently, the guidelines pertain only to sharing personally identifiable student information and do not address the sharing of aggregated information for the purposes of needs assessments, priority setting, outcomes measurement, or for advocating for resources or policy changes at the district, state, or national level. Fortunately, guidance of sharing data and crafting data sharing agreements is provided by the Privacy Technical Assistance Center at the U.S. Department of Education. This is the sixth article in the series on data.
An Effective Software Effort Estimation based on Functional Points using Soft Computing Techniques

Still in this 21st century, it is a great challenge for the Project Managers to make the software projects successful. The success of software projects relies on how accurately the estimates of effort, cost and duration can be made. Most of the standard surveys stated that only 30-40% of software projects are successful and the remaining are either challenged, cancelled or failed. One of the key reasons for failure of projects is inaccurate estimations. Effort Estimation should be carried out in the early stage of Software Development Life Cycle (SDLC) and it is an essential activity to establish scope &amp; business case of software project management activities. Over estimation or under estimation leads to failure of the software projects. Many of the stakeholders are expecting the estimation of development effort in early stage for their better bidding. There are many methodologies like KLOC, Use Case Points (UCP), Class Points, Story Points, Test Case Points, Functional Points (FP), etc. to estimate effort in the software development. To estimate the effort in the early stage of software development, UCP, Story Points and FP are more preferable. The methods for estimation may be adopted based on the project complexity, functionality, approaches etc. In order to achieve an efficient and reliable effort estimate and thereby have a proper execution of software development plan, Soft Computing Techniques can be adopted in the various organizations and different research domains. In this paper, Functional Points have been selected for effort estimation and implemented using soft computing techniques like Neural Networks and Neuro Fuzzy techniques. After examination the results are evaluated using different error measures like VAF,MMRE,RAE, RRSE and PRED. Basing on results it is observed that the Neuro Fuzzy techniques provided better effort estimates
XML web quality analysis by employing MFCM clustering technique and KNN classification

The great accomplishment of web search engine is keyword search which is the most trendy search representation for regular consumers. It is permits that the consumer can create the queries without the knowledge of query language and the database schema. So, it is also considered as a user friendly method. The quality of XML web has to be accurate if the exact queries have to be answered. Here we have proposed a method to access the quality of the XML web by analysing the keyword present in the XML web based on the respective keyword search. In our proposed method we collect number of XML documents and are clustered based on the keyword depending on the type of XML files. Modified fuzzy C means (MFCM) is used for clustering. Once the clustering based on the respective keyword is done, we classify the XML web based on quality of the data by utilising KNN classifier.
Drone-Based Quantum Key Distribution

Current quantum cryptography implementations focus on fiber-based or fixed free-space point-to-point channels. We seek to expand this to quantum communication from mobile platforms. Here, we report progress towards tracking system stabilization and air-to-air signal coupling.
National copyright decisions round-up 2019

... In 2019, national courts in individual EU Member States and in Australia delivered a series of important rulings in the copyright field. This contribution provides a round-up of the most significant judgments issued in the period 1 January—–31 December 2019 and, in some cases (ie where the decision at issue is of particular relevance), at the very end of 2018. As far as decisions in EU Member States are concerned, the selection was made giving precedence to areas in respect of which EU harmonization has occurred (including economic rights, exceptions and limitations, and enforcement), so that guidance provided by national courts in a certain country might be useful also to practitioners and courts in other EU Member States. The analysis is divided by area: ... and country: Australia, Belgium, Czech Republic, Denmark, Finland, France, Germany, Hungary, Italy, the Netherlands, Poland, Spain, Sweden, and UK. Each selected decision is presented according to the following template:
Unambiguous discrimination of binary coherent states

Considering quantum detection, there are two different ways to make a measurement on signals set. One is minimum error discrimination and another is unambiguous states discrimination. In this work, we study the unambiguous state discrimination of coherent states. The quantum measurement model investigated is based on binary signals. All necessary positive-operator valued measurements are established to implement the quantum measurements in non-ambiguity way. The conclusive probability and inconclusive probability for the unambiguous discrimination of both on-off keying and binary-phase-shifting keying modulations are derived rigorously to show the measurement performance of proposed detection method theoretically.
A graph-based automatic services composition based on cost estimation heuristic

Currently, both software and hardware are being virtualised and offered as services on the internet. Companies have an opportunity to improve their workflows by composing services that best suit their quality and cost requirements. However, as more services become available, computer-aided services discovery and composition become essential. Traditional service representation and planning algorithms do not adequately address non-functional characteristics, large numbers of similar operators (i.e., services), and limited numbers of objects (i.e., inputs and outputs per service). This paper analyses existing work in automatic services composition, service representation and planning algorithms and proposes a new framework to address those needs. It proves that the proposed framework provides an admissible heuristic based on cost estimations that guarantee a minimum cost solution, if one exists.
Role of Judicial Specialization on Improving the Organizational Performance within Judicial Institutions in the United Arab Emirates

In the quest to improve performance, attention has been directed at job specialization. Public organizations in UAE are the focus of this paper, specifically the judicial public organization where judicial specialization is applied. The data was collected from 533 employees analyzed using structural equation modeling via software SmartPLS 3.0. The study examines the judicial specialization’s effect on organizational performance. The research will describe relationships among the different constructs. Our efforts have improved our understanding of the role of specialization.
A separable reversible data hiding scheme in encrypted image for two cloud servers

This paper presents a separable reversible data hiding in encrypted image (SRDH-EI) based on code division multiplexing (CDM). In this, the owner encrypts the cover image first, and then uploads the preprocessed image to two cloud servers. In the servers, two encrypted pixels, on the same place of uploaded images, form an embedded vector. Finally the secret bits, which are encoded to CDM spreading sequences, are embedded into the vector. At the receiver side, there are three cases: 1) if they only have the data hiding key, the secret bits can be extracted; 2) if they only have the encryption key, the original image can be recovered; 3) if they have the two keys, both of them can be obtained. Compared with the classic dual-images RDH method, the proposed method protects the content security of the outsourced cloud image and has a better performance on visual quality and embedding capacity.
Topic-based SGML? Really?

Topic-based technical documentation is all the rage these days, made popular by DITA and others. Topics can be integrated with the engineering data for the products both describe using nifty Product Life Management (PLM) tools that make this easier than ever. But what if you're stuck with SGML, voluntarily or involuntarily? Can you, too, bring your content into the topic-based paradigm or should you rather not? This paper explores your options and the state of SGML in the PLM world today. It nose-dives into the ATA iSpec 2200 SGML, discusses some of the pains to implement it, and finally converts the ATA to DITA.
Online Examination Service using Mobile Application

Day-to-day life has been changed a lot . Each and everything is held through internet and many institutions, companies works through internet. Most advantages or helpful by internet is, having exam through online (or) internet. So we can write or attend the exam anywhere anytime. To make this, we need cloud concept too. In cloud, we create own cloud and store the data for exam, so a person can access data from cloud through internet anytime. And mobile application is also being trend now, so many applications of this is possible to make it out
Unsupervised Extraction of Common Product Attributes From E-Commerce Websites by Considering Client Suggestion

Develop an unsupervised learning framework for extracting popular product attributes from product description pages originated from different E-commerce Web sites. Unlike existing information extraction methods that do not consider the popularity of product attributes, in this proposed framework is able to not only detect popular product features from a collection of customer reviews but also map these popular features to the related product attributes. Building an intelligent E-commerce systems typically involves a component that can automatically extract product attribute information from a variety of product description pages in different E-commerce Web sites. Web information extraction methods such as wrappers are able to automatically extract product attributes from the Web content One novelty in this framework is that it can bridge the vocabulary gap between the text in product description pages and the text in customer reviews. Technically,in this framework developed a discriminative graphical model based on hidden Conditional Random Fields. As an unsupervised model, this framework can be easily applied to a variety of new domains and Web sites without the need of labelling training samples. E-commerce is proposed for enhancing the capability. Covered by electronic commerce surroundings, facing therefore voluminous new recent business model, it's obligatory to conduct the analysis to the electronic commerce pattern analysis method and like this is often useful in North American nation uncover the new electronic commerce pattern as provide the approach for electronic commerce pattern modernization to be conjointly helpful within the enterprise outline the particular electronic commerce strategy and therefore the implementation step. Initiated from this encouragement, during this paper proposes the innovative construct of the E-commerce recent agricultural product selling supported the massive web knowledge platform later the rapid development of rebuilding and opening up, China's agriculture has entered a new historical stage of development. Evaluate the growth mechanism of agricultural production enterprises from the angle of resource dynamic provide. In the e-commerce environment, the enterprise data and economic information are relatively concentrated, so the economical accounting system can instantly grasp the current activities of the economical data, and quickly generate economical information.
Search Engine Optimization by Moz Link Explorer and Google PageRank: a study of international digital library websites

The study discussed in this article is aimed to evaluate and compare the international digital library websites to explore their performances and efficiencies, based on search engine optimization. Moz Link Explorer and Google PageRankâ€”two freely available search engine optimization sourcesâ€”have been used as webometric tools for collecting the required data from the websites of selected digital libraries. Web impact factor (WIF) for each digital library website has also been calculated in terms of internal web impact factor (IWIF), external web impact factor (EWIF), and simple web impact factor (SWIF). The investigation revealed that amongst all the 10 selected international digital libraries, the World Digital Library leads with the highest page authority, external followed link, total links, linking domains, and followed linking domains. The Universal Digital Library with the highest â€˜domain authorityâ€™ has the lowest linking domains and followed linking domains. The lowest domain authority and page authority is attributed to Digital Library of International Research while lowest number of total links is attributed to Digital Library of Georgia. In terms of Google PageRank evaluation, Universal Digital Library has secured the highest page rank and Core Page Review (CPR) score, however, is in a low position in terms of the lowest referring domains, global rank, indexed URLs, trust flow, trust metric as well as weak page rank quality. Subsequently, the exploration of web impact factor of the select digital libraries disclosed that the International Children's Digital Library secured the first position in terms of IWIF and SWIF. In contrast, on the grounds of EWIF, Universal Digital Library is leading the list.