Reviewerly/exHarmony huggingface dataset:
A Color-Volume Mapping System for Perception-Accurate Reproduction of HDR Imagery in SDR production workflows

The usage of wide color-volumes within cameras during image acquisition is common nowadays. However, these color-volumes are mostly manufacturer-specific and often get minimized into a standardized color-system, such as ITU-R BT.709. The outstanding color-capture-characteristics of prevailing image sensors therefore do not get used enough yet. Most image reproduction devices won't be able to display HDR/WCG content accurately in the near future. This justifies the current development of products that convert HDR/WCG-imagery to SDR/SCG-imagery with the aim of keeping the original look. The often overlooked aspect of color-volume transformations as a conversion process is of particular importance. Patented or trademarked colors (eg. Coca-Cola Red) should cause the same visual impression on all reproduction devices. Visual artefacts, such as hueshifts, banding or constant color regions instead of differentiated colors, caused by clipped or incorrect converted colors could violate this rule. Tonemapping is usually performed to transform HDR to SDR content. The difference in brightness between HDR and SDR is most visible. Rarely an accurate color-volume transformation is performed. A novel HDR/WCG-SDR/SCG-transformation-algorithm is presented in this paper. It can be used on images after tonemapping, or as a static conversion method between HDR/WCG and SDR/SCG. The aim of the algorithm is to convert colors from a large source color-volume into a smaller target color-volume so that converted colors stay distinguishable and no clipping is necessary. Patent pending EP20188496.2.
Hierarchical Recommendation Algorithm Incorporated with Book Descriptions

As more and more abundant information integrated into the recommendation system, the recommended effect is getting better and better. But not all of these side information have positive influence. For the book recommendation system, the descriptions always play the role of the first window for users to quickly overview a book. These descriptions is a kind of side information containing rich and refined semantic information. Therefore, based on the book-crossing data set, we crawls the descriptions of 107552 books, and make further recommendation by using the metapath2vec++ algorithm and LDA(Latent Dirichlet Allocation) algorithm. At the same time, aiming at the problem that users who contribute more scores are difficult to make effective recommendation in VSM(vector space model) because of the traditional vector addition method, a user similarity calculation algorithm based on the wasserstein distance is proposed, and the recommendation is based on these similar users. Through experiments, the accuracy improved 16.3% and F1 score improved 22% among the users with more than 200 rating items.
IMPLEMENTATION OF TUTORING PRACTICES IN A HIGH SCHOOL BASED ON THE EXAMPLE OF THE PRIVATE SCHOOL "ATHENS", KYIV

The article actualizes the implementation of tutoring practices that meet the challenges of modern times, help to overcome the contradiction between the current demands from a personality and traditional educational practices. Special attention is paid to the conditions of tutoring practices implementation, meaning creation of an open variable educational environment. The most effective tutoring experience practice, which corresponds with the age specifics of high school students, is designed. A short analysis of a tutor's competence is provided.
The Development of Target Robot with Avoidance Function

At present, the smart target game equipment is developing rapidly. Based on the current market conditions and future development trends, the visual mobile robot is combined with target shooting in this paper. This design adopts the technology of combining computer vision and ROS robot operating system to develop an intelligent target robot with autonomous avoidance function, and the robot is compatible with traditional fixed target shooting, which improves the entertainment of the game. The mode of the robot is selected by remote control of the mobile phone APP. This article first analyzes the functional requirements and performance indicators of the intelligent target robot system, and determines the overall design ideas. Then this article designs the detection algorithm of the robot in autonomous avoidance mode, and computer vision is used to detect the thrower’s throwing posture. Combined with ROS, the robot can predict the trajectory of the ball. Refer to the profit matrix of the game theory and improve the profit matrix to realize the robot’s avoidance strategy. Finally, the SYN6288 voice module broadcasts the target score and transmit the score to the mobile APP for display.
Linked Open Data to Support Content-Based Recommender Systems

The World Wide Web is moving from a Web of hyper-linked Documents to a Web of linked Data. Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets. These datasets are connected with each other to form the so called Linked Open Data cloud. As of today, there are tons of RDF data available in the Web of Data, but only few applications really exploit their potential power. In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend movies to the end users. We extensively evaluated the approach and validated the effectiveness of the algorithms by experimentally measuring their accuracy with precision and recall metrics.
Code für Download-Material

No AccessCode für Download-Materialhttps://doi.org/10.13109/9783666406621.292SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter FiguresReferencesRelatedDetails Download book cover 2., erweiterte Auflage 2019ISBN: 978-3-525-40662-5 eISBN: 978-3-666-40662-1HistoryPublished online:June 2019 PDF download
An olivine fabric database: an interpretative frame for upper mantle seismology

Recent investigations of teleseismic shear-wave splitting have shown that relationships between lattice preferred orientation (L.P.O.) and anisotropic seismic properties allow the determination of plastic
Research on English Corpus Tagging Based on BiLSTM model

The recognition and tagging of special words in English corpus can effectively improve students' learning efficiency. Based on BiLSTM model and CRF model, a BiLSTM-CRF model model is constructed to recognize and automatically label special words in English corpus. The results show that the average accuracy of BiLSTM-CRF model is 95.35% and the average recall rate is 94.83%, which are much higher than other models. We can know from the above that BiLSTM-CRF model can label English professional corpora well and is a practical method.
Online education in human capital formation of new quality

The paper deals with the online education forms’ development during the period of restrictions associated with the spread of Covid-19. The growing demand for distance education services for children and adults has been called the forced isolation of students during a pandemic, as well as independent people's need for self-development and self-education. Using the example of the Republic of Karelia, we note that of the large number of educational platforms operating within the framework and providing online access to resources, the following were most in demand: Uchi.ru, Yaklass.ru, Google class, Skysmart.ru, Resh.edu.ru, and also Russia.foxford.ru, Infourok.ru, Online Test Pad, Moodle. In the current conditions, the positive effects of online education were an increase in the general level of media and information literacy of both children and adults, an increase in the quality and development of educational Internet resources, the formation of digital competencies in children and adults for life and work in the new realities of the development of society.
Security Education, Training, Certification, and Regulation

The security field has struggled for many years to develop an identity as a profession. In the efforts, the federal government has studied the field and at times attempted to pass legislation to mandate standards. Despite the studies, their recommendations, and failed legislation, the field continues to be less than it could be. It is apparent that the field is and may always be self-regulated. States have provided minimal standards for training and certification, and in some cases do not regulate the field. Colleges and universities have provided opportunities for degrees in security and related areas, which has improved the level of education among security managers. But, the greatest strides in standards have come from various professional organizations, with American Society for Industrial Security (ASIS) International leading the field.
String Field

In this chapter, we introduce general concepts about the string field. The goal is to give an idea of which type of object it is and the different possibilities for describing it. We will see that the string field is a functional and, for this reason, it is more convenient to work with the associated ket field, which can itself be represented in momentum space. We focus on what to expect from a free field, taking inspiration from the worldsheet theory. The interpretation becomes more difficult when taking into account the interactions.
Background

In this chapter we review the concept of public-key cryptography (PKC) and then describe two PKC schemes namely, elliptic-curve cryptography and lattice-based cryptography.
Augmented Reality and Occupational Safety

Occupational safety is a major, and challenging, part of any industrial activity. Augmented reality (AR) technology represents a new interface between workers and the industrial environment. In this context, AR can be efficiently used to inform workers about necessary precautionary measures and verify their implementation. This article, after a brief review of related literature, presents an AR-based system aimed at combining work and occupational safety instructions in an industrial environment.
Big Data and Copyright Law

This chapter seeks to provide a state-of-the-art overview of current research in the field of big data analytics as applied to copyright/fair use on the Internet. It examines the reasons for the limited quantitative empirical analysis in the copyright space, explains why the formalities free principle makes it difficult for such research to be done, and suggests several big data analysis methods to collect and analyze copyright-related datasets.
The students’ motivational dynamics at different stages of learning english

The article represents the results of a survey conducted among undergraduate students of the Faculty of Journalism of the Moscow State University. The main purpose of the survey is to identify the students’ motivational dynamics nature in learning English. The survey involved 152 students of 1-4 full-time courses. The survey is also aimed to identify the reasons for their interest (or the absence of it) in the subject, such as: an inclination to learn English, a timetable, a teacher’s personality, the need to learn the discipline, etc. In addition, the objectives of the survey also included determining the place of the English language in the Faculty of Journalism discipline system, the importance of the subject for students both during their studies at the university and in the process of their further work. The students were offered 29 questions in total, while 20 of them had been taken from the already existing questionnaire by Tatyana Dubovitskaya, PhD in Psychology, which aim was to identify students’ internal and external motivation. According to the feedback results received during the survey, there were identified certain tendencies in motivation extent typical for students at different stages of studying. For example, the motivation of 4th year students has been found out to be as strong as the motivation of younger students. In our opinion, it is an unpredictable trend. In addition, there were revealed some factors contributing to a significant motivational growth during studying, such as: aspect teaching, the teacher rotation, the introduction of the rating system, the importance of English in studying other disciplines.
Water Quality Mapping of Yamuna River Stretch Passing Through Delhi State Using High Resolution Geoeye-2 Imagery

The present article utilizes high resolution Geoeye 2 imagery for mapping and monitoring pollution concentrations of 22 km stretch of river Yamuna passing through Delhi state, by developing regression models between water quality parameters (WQP's) and the corresponding spectral reflectance values. Water samples collected from the sampling locations were analysed for 20 WQP's and grouped into four classes namely; (WQP)organic, (WQP)inorganic, (WQP)anion and (WQP)cation. Several spectral band combinations as well as single bands were probed for performing multiple linear regression (MLR) analysis with the four WQP classes. Results reveal relatively strong positive correlations for band combination viz. [mean RGB × √B/R] with all four WQP classes yielding high R2 value (∼0.85) and RMSE (∼1.03) amongst other selected band combinations. Spatial distribution maps were generated that substantiates to the actual in-situ pollution concentration levels thereby evidences the potential of high resolution Geoeye-2 imagery for monitoring and mapping pollution concentrations in the water bodies.
Research on the Influence of Artificial Intelligence Technology in English Critical Reading

Information technology is promoting the reform and innovation of English education teaching mode, and the teaching platform based on artificial intelligence is empowering English teaching in the new era. Therefore, teachers and all kinds of language educators have given positive comments. This article focuses on the application of multimedia teaching network based on artificial intelligence technology in modern English education, which is an optimization of traditional teaching methods.
Searching Methods for Corpora in NoSketch Engine

In this chapter, readers will get insight into a free online system for creating and searching corpora, NoSketch Engine, and its abilities. The chapter will provide valuable information about all corpus tools and functionality that users can use for conducting linguistic research, preparing teaching materials, exams, or exercise for their students. The basic syntax for querying corpus, a corpus query language (CQL), will be explored. Along with that, the chapter will provide examples of CQL syntax so that users can easier comprehend the basics for searching and exploring large language databases in different languages.
Exploration Geochemistry

Exploration geochemistry aims to enlarge the target size of mineral exploration by establishing and discovering the chemical and mineral signals of economically valuable deposits. In near-mine exploration, the primary concentration halo around any deposit is used to vector toward the potential ore body. When the deposit has weathered, the signal from weathered mineral fragments or soluble elements can be used to detect it in soils, stream, lake or glacial sediments, based on a knowledge of elemental mobility. Sample preparation, chemical digestion, and analytical methods are optimized to detect this signal. These methods work best where overburden is residual and should be combined with geophysical and geological data. Examples of exploration for diamond deposits show success even in areas of thick sand or glacial cover using the detection of indicator minerals and their mineral chemistries. Geochemical signals in areas of deep weathering are weak and variable but may be one of the few viable exploration methods. Geochemical methods used in mineral exploration have advanced to map large areas of the globe, often at wide sample spacing. Besides providing a regional indication of mineral potential, these surveys indicate environmental baselines for mineral and other development.
Local Phase Features in Chromatic Domain for Human Detection

In this paper, a new descriptor based on phase congruency concept and LUV color space features is presented. Since the phase of the signal conveys more information regarding signal structure than the magnitude and the indispensable quality of the color in describing the world around us, the proposed descriptor can precisely identify and localize image features over the gradient based techniques, especially in the regions affected by illumination changes. The proposed features can be formed by extracting the phase congruency information for each pixel in the three-color image channels. The maximum phase congruency values are selected from the corresponding color channels. Histograms of the phase congruency values of the local regions in the image are computed with respect to its orientation. These histograms are concatenated to construct the proposed descriptor. Results of the experiments performed on the proposed descriptor show that it has better detection performance and lower error rates than a set of the state of the art feature extraction methodologies.
Ambient Intelligence

The notion of personalisationPersonalisation through artificialArtificial intelligentIntelligent techniquesTechnique has been applied to various domains, especially whenDomain the goal is to enhance a service or a product that closely fits the corresponding requirementsRequirement of a humanHuman user.
Semantically-guided acquisition of trustworthy data for information fusion

Knowledge graphs capture complex domain-relevant information and relationships between different entities, often based on detailed ontologies. Knowledge graph embedding (KGE) can be used to encode data in a semantic vector space that captures the relative meaning of these elements based on their actual usage in a database. KGE techniques leverage latent information arising from topological similarities of sub-structures within the graph to deepen insight gained in downstream analytics tasks. To maximise the likely contextual relevance of the results, new techniques are being developed that take advantage of human-defined ‘meta-paths’ that enable context-sensitive random-walks through heterogeneous graph databases, corresponding to identified routes that make sense in the context of the analytics. To efficiently leverage these meta-paths from human users, human-agent knowledge fusion (HAFK) techniques can be quickly re-purposed to support sensemaking. We illustrate the potential for an integrated platform that rapidly enables user-machine information fusion by enabling downstream analytics and visualization to inform user input in a feedback loop.
In re Bd. of Trustees of Leland Stanford Junior Univ. United States Court of Appeals of the Federal Circuit, 2021 No. 2020-1012, 2021 WL 922727

Biotechnology Law ReportVol. 40, No. 3 As presented by Chris HolmanIn re Bd. of Trustees of Leland Stanford Junior Univ. United States Court of Appeals of the Federal Circuit, 2021 No. 2020-1012, 2021 WL 922727Edited for Biotechnology Law Report by CHRISTOPHER M. HOLMAN*Published Online:8 Jun 2021https://doi.org/10.1089/blr.2021.29231.cmhAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 40Issue 3Jun 2021 InformationCopyright 2021, Mary Ann Liebert, Inc., publishersTo cite this article:In re Bd. of Trustees of Leland Stanford Junior Univ. United States Court of Appeals of the Federal Circuit, 2021 No. 2020-1012, 2021 WL 922727.Biotechnology Law Report.Jun 2021.206-210.http://doi.org/10.1089/blr.2021.29231.cmhPublished in Volume: 40 Issue 3: June 8, 2021Online Ahead of Print:April 23, 2021PDF download
Integrated Paper-Based and Digital Learning Material for Smart Learners

Smart learners are lifelong learners whose potential is unleashed by the seamless use of smart technologies (i.e., smartphones, tablets, tablet PCs, sensor network nodes, contact-less smart cards, RFID, and QR codes) to access huge amounts of open resources and connections, anywhere and anytime. Personal, and personalized, smart technologies increase a learner's independence in a novel way, and make the context for engaging in study more tailored and potentially self-directed. This chapter illustrates the QR code format, a framework that supports smart learning by the integration of paper-based and digital learning material through quick response (QR) code. The format was devised within the research project Learning4All (2009-2012) and was validated by several learning experiences of English as a foreign language (EFL) for different clusters. Subsequently, the format was selected as an element of techno-pedagogical innovation in the Eureka project (2012-2014), a network of 11 schools in Apulia, Italy, for the enhancement of curriculum continuity from middle into high school.
Complex Interdependency of IT Security Risk in B2B Supply Chain

Managers often decide to integrate supply chains of collaborating firms. Whether such decisions are for competitive posture, cost saving or operational efficiencies, it is important to understand that supply chains integrate not only the flow of goods but also the information processes and assets and more often than not, the IT networks of the firms. Thus two developments occur. First, IT security losses of one firm collocate at the other firm's servers as information assets like demand forecasts are shared. Second, the Intranets of both firms get connected with the help of VPN or similar technologies, making it possible that a breach can travel from one firm to the other. This in turn makes IT security risks of SC firms strategically interdependent. This chapter analyzes such interdependent IT security risks and provides insights for SC and IT managers who are poised to collaborate with other downstream or upstream partner firms.
MatCos 3.X

The authors present a sketch of the Matcos 3.X environment. In particular, they present the axiomatic and genetic commands. There are genetic commands for the following: plane and solid geometry, arithmetic and classical algebra, calculus, and numerical methods, with an outline of real functions with two real variables, descriptive statistics, elements of combinatorics, probability, and linear algebra. Each command will be illustrated with an example. There are also comments and suggestions on the pedagogical and didactic use of some commands. The commands will not be displayed in strictly alphabetical order, but a more logical and consequential line has been preferred. At the end of the chapter, the alphabetical list of all the commands available in the programming environment will be shown.
Introduction

The advent of the Internet revolution and digital multimedia technology has made it extremely convenient for the user to transmit or distribute multimedia (audio, image, and video) data. This has become a serious threat for multimedia content owners. Thus, there is significant interest for copyright protection of multimedia data. Digital watermarking is a process of embedding watermark into the audio data to show authenticity and ownership [1, 2]. This technique has several applications such as copyright protection, data authentication, data indexing, broadcast monitoring, and so on.