Reviewerly/exHarmony huggingface dataset:
Mobile Application Development by Students to Support Student Learning

The ubiquity of mobile devices, their portability and their unique gesture recognition features make them an apt educational tool, especially in the STEM fields. The traditional pen and paper practice method can be transferred to a digital format and the content can be made available to students anywhere and at any time. In this chapter the authors discuss how mobile application development projects can be used to benefit students in multiple STEM disciplines at the same time by creating a symbiotic, business-like relationship between students enrolled in a software development course and students in other STEM courses (end-users). The authors will discuss the learning needs of students and the details of thoughtful mobile application design incorporating various learning theories. This chapter will also discuss various examples of educational mobile apps created, their usability testing results and their effect on student learning.
Design and Development of Semi-Blind Image Steganography Algorithm using DCT for Securing Text Documents which Resist against JPEG Compression

Semi-blind Image Steganography algorithm development proposed by using DC coefficients of DCT technique. Create KEY vector and potential block matrix while embedding the secret data. Embed one secret character in one DCT block using the DC value of each block. Convert DC coefficient to binary representation and store positions for secret data. Apply JPEG compression on Stego Image. While extracting the secret data from compressed Stego Image, with the use of a KEY vector extracts secret data bits from potential blocks. After creating simulation, perform some test on a standard dataset and compare the results with target results.
Quantum tomography of a single-photon state by photon-number parity measurements

A single-photon state was generated by heralding cavity-enhanced spontaneous parametric downconversion in a PPKTP optical parametric oscillator. The Wigner distribution was reconstructed by quantum state tomography, using photon-number-resolving measurements with a system efficiency of 58±2%.
Supplemental Material for A Decision Processes Account of the Differences in the Eyewitness Confidence-Accuracy Relationship Between Strong and Weak Face Recognizers Under Suboptimal Exposure and Delay Conditions

a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
The Kernel

A firmware implementation is similar to an embedded operating system. It has a kernel to manage resources, such as the system memory, and the kernel is also responsible for the dispatching of tasks. The operating system can defend against software attacks in two ways – break the exploit and contain the damage. Similar to the list of compiler defensive technologies, the OS can break the exploitation by forcing the code protection, such as data execution prevention (DEP), code integrity guard (CIG), and arbitrary code guard (ACG). Address space layout randomization (ALSR) can make it harder for the attacker to predict the target address. The control flow guard (CFG) becomes more and more important today, because the control flow–based attack can bypass the fundamental hardening such as DEP.
CAREER GUIDANCE MOTIVATION OF STUDENTS OF THE DIRECTION "STATE AND MUNICIPAL ADMINISTRATION" OF PNRPU: PROBLEMS AND PROSPECTS

The article is devoted to the study of career guidance motivation of students of the direction "state and municipal administration" of Perm national research polytechnic university. On the basis of the survey, the author identified the problem of weak motivation of junior students and disappointment in the choice of a future profession. As a solution to this problem, the author proposes the dissemination of career guidance activities at the university not only to high school students, but also to students of junior courses.
The Physical Properties and Geochemical of Clay from the Bestari Jaya, Kuala Selangor, Selangor, Malaysia for Potential Usage

The study emphasis on physical properties and geochemical of the clays from Bestari Jaya area to determine its suitability for any commercial application. Nine samples collected from six boreholes as representative of white and dark clay in the study area. All samples examined through the optical properties test and physical properties such as moisture, specific gravity, Atterberg limit and particle size distributions. The geochemical and mineralogical conducted using XRF and XRD analysis. The clays from Bestari Jaya considered of having variation in the brightness from medium to high brightness as shown by Delta L value (51.32-73.49%). The moisture content ranges between 34.50-81.03%. The plasticity index (PI) and plasticity limit (PL) values found in ranges of 18-32% with an average of 22.22%, and 32-46% with an average of 37.11% respectively. The plasticity limit and index reveals that the Bestari Jaya clays can be classify as kaolinite clays that are suitable for pottery and brick making. The specific gravity ranges between 2.49 – 2.70 with an average of 2.61. The average value is similar to the value of pure china clay (2.6). The SiO2 content in Bestari Jaya clays is between 37.49 – 69.96 wt% and Al2O3 is between 18.92 – 33.02 wt%. While the L.O.I values are between 8.71-16.04%. Kaolinite as the dominant mineral phases in all clay samples with composition ranges from 65-97.7% and an average of 73.12%. Apart of that, quartz in ranges of 5.3 – 20.6%, identified in almost all samples. Muscovite, hematite and magnetite occur as accessory minerals. Referring to standard and result obtained on representative sample, the Bestari Jaya clays potentially used in the production of smaller tiles for unexclusive pedestrian traffic. The presence of significance amount of heavy metals makes it unsuitable to use in the pharmaceutical or paper industry.
A Robust Resource Allocation Framework Using Hybrid Bat Algorithm (HBA)

In the era of cloud computing and IT paradigm the resource allocation and over provisioning has introduced lot of automation in terms of manual and automated process.However, most of the cloud resource providers focus more on the effective resource allocation with better pricing.Recent solution adapted for cloud resource allocation and management leads to task level sub optimal performance due to on-demand varying job requirements.To address this issue in the existing cloud resource scheduling and allocation, a novel fine-grained scheduling solution is proposed.The key idea of the proposed solution is to utilize Hybrid Bat algorithm (HBA).Further, the HBA is a modified BAT algorithm.HBA algorithm is privileged to execute in the middleware and tasks allocation subjected to individual physical and virtual machines are completely handled for time critical jobs with fixed and varying deadline.The proposed resource allocation framework has multi-tendency support for all forms of cloud (public, private and hybrid).The entire framework is deployed and validated using Amazon EC2 instance with spark cluster 20-node.The experimental results proven that the proposed HBA based framework is robust and offers a maximum range of high resource utilization.
Dynamic Load Balancing by Round Robin and Warshall Algorithm in Cloud Computing

Cloud Computing is a well- known technology that delivers scalable, fault–tolerant, consistent, secure and reliable computational services. Cloud figure out grants its services in subscriptions means user have to pay as much they use. Due to the continuously progressing and increasing area, cloud figure out is a very good topic for researchers. The main area of interest in cloud figure out is virtualization, collates, software defined network, network function virtualization and many more. There are limited load collates algorithms are used in cloud, and all algorithms having its own advantages and disadvantages. This is the requirement of time to invent a new efficient algorithm in load collate in cloud figure out, through which we can get maximum throughput, minimum response time, etc. Here in this research paper authors are proposing a new approach of dynamic load collate, which mainly depends on the distance between datacenter to host. Simulation is done by CloudSim toolkit. Authentication and effectiveness of the proposed load collate algorithm are checked by comparative analysis with existing load collate algorithm.
Specific aspects of training future philology teachers to form media competence of high school students

The author argues that the growing importance of forming spiritual and moral values of school children makes more acute the necessity to provide more efficient teaching of the philological subjects, which have significant pedagogical potential in the above area. Various aspects of the problem of teaching philological subjects at school have been researched by many Ukrainian and foreign scholars, however, nowadays there is an urgent need to determine possibilities and prospects for the application of various types of media resources within the teaching process by philology teachers, as well as ways of training future philology teachers to form students’ media competence. Therefore, the purpose of the article is to clarify specific aspects of training future philology teachers to form high school students’ media competence. The author analyzes various interpretations of the “media competence” concept and defines it as an integrative quality of a personality that provides the ability to operate competently and responsibly with media resources and use their materials in different life situations appropriately. The article also reveals specifics of the humanities and, in particular, philological cycle subjects, and analyzes the purpose of teaching subjects related to the educational field “Languages and Literature” (given in the State Standard of Basic and Complete General Secondary Education) to high-school students. The study has shown that the essence and content of media competence are substantially consistent with the purpose and objectives of studying the above subjects by high-school students. Pedagogically efficient usage of media resources when teaching humanities subjects in high school both provides the effective formation of students’ media competence and improves their educational achievements in this educational field. The author concludes that there is a necessity to provide purposeful training of future philology teachers to form media competence of high school students. This training should not only give the future teachers the knowledge about the essence of media competence and the specifics of its development in high school students but also let them master the skills in selecting optimal tasks for competence formation.
Editors Welcome

Smart contracts are coded parameters written into an immutable distributed ledger called a blockchain. There has been increasing legal interest in the application of these self-executing programs to conduct transactions. Most of the scholarly and practical analysis so far has been taken the claims of this technology being akin to a contract at face value, with legal analysis of contract formation, performance, and enforcement at the forefront of the debate. This article discusses that while smart contracts may pose some interesting legal questions, most of these are irrelevant, and smart contracts should be understood almost strictly from a technical perspective, and that any legal response is entirely dependent on the technical capabilities of the smart contract. The article proposes that smart contracts are not contracts for all practical purposes.
Discovery of inconsistent generalised coherent rules

Mining multiple-level association rules in a predefined taxonomy is an hierarchy that paves the way for generalised rule mining using interestingness measures like support and confidence. Coherent rule mining identifies significant rules in a database without using interestingness measures. In this paper, we propose a new mining algorithm called generalised inconsistent coherent rule mining (GICRM) for mining a new form of generalised coherent rules called inconsistent coherent rules. The discovered rules are called inconsistent because the correlation of the rules changes from one level of taxonomy to another. The rules are mined from a structured dataset of predefined taxonomy. The inconsistent rules mined would be noteworthy at the business point of view for taking strategic decisions in market basket analysis.
Special random variables

This chapter introduces some of the common discrete and continuous random variables. Among these are the binomial and Poisson, which are discrete random variables; and the normal, which is continuous. Random variables related to the normal are discussed. It is shown how to use R to compute the probabilities and percentiles of all these random variables.
New York City Street Cleanliness: Apply Text Mining Techniques to Social Media Information.

Determination• Apply a list of keywords to filter out some irrelevant tweets • Preprocess the data by applying tokenization and lemmatization, removing hashtags, @, URL links, stopwords, etc. • Use supervised machine learning models to identify relevant tweets, including Naïve Bayes, Random Forest, XG Boost o The dataset is facing an imbalanced classification issue, two sampling methods are used to solve the issue: Random under-sampling & Random over-sampling o Stratified 10-fold cross-validation with a paired t-test are performed to evaluate the performance of all classifiers (based on Accuracy, Precision, Recall, F-1 Score, ROC_AUC)
The Helicity Spinor Formalism

Quantum Field Theory provides a theoretical framework for understanding fields and the particles associated with them, and is the basis of particle physics and condensed matter research. This graduate level textbook provides a comprehensive introduction to quantum field theory, giving equal emphasis to operator and path integral formalisms. It covers modern research such as helicity spinors, BCFW construction and generalized unitarity cuts; as well as treating advanced topics including BRST quantization, loop equations, and finite temperature field theory. Various quantum fields are described, including scalar and fermionic fields, Abelian vector fields and Quantum ElectroDynamics (QED), and finally non-Abelian vector fields and Quantum ChromoDynamics (QCD). Applications to scattering cross sections in QED and QCD are also described. Each chapter ends with exercises and an important concepts section, allowing students to identify the key aspects of the chapter and test their understanding.
Binary Prediction

Binary prediction is one of the most widely used analytical techniques having many applications in multiple domains. In the business context, it is used to predict loan default, discontinuance of insurance policies, customer attrition, fraud detection, etc. Because of its huge importance, a number of methods have been developed to solve this problem. In this article, we discuss the well-known logistic regression predictor and compare its performance with a relatively less widely used predictor—the maximum score predictor—using two real-life unbalanced datasets. The maximum score predictor is observed to perform better than the logistic regression predictor for both these unbalanced datasets, indicating that the maximum score predictor can be a useful addition to the analysts toolkit when dealing with the binary prediction problem.
THE THEORY OF COMPETENCE AND ITS VIEWS ON PEDAGOGICAL CONTENT

The paper describes the theory of competence approach in education and views on its content, history and stages of the emergence of competence.
Verifying Fuzzy Keyword Search Over Cipher Text in Cloud Computing

To enhance the potency of knowledge looking out, most knowledge house owners store their knowledge files in numerous cloud servers within the kind of ciphertext. Thus, economical search victimization fuzzy keywords become a vital issue in such a cloud computing atmosphere. Searchable cryptography will support knowledge user to select and retrieve the cipher documents over encrypted cloud knowledge by keyword-based search. Most of the prevailing searchable encryption schemes solely specialize in the precise keyword search. When knowledge user makes writing system errors, these schemes fail to come to the results of interest. In searchable encryption, the cloud server may come to the invalid result to knowledge user for saving the computation price or alternative reasons. Therefore, these precise keyword search schemes notice very little sensible significance in real-world applications. So as to deal with these problems, we tend to propose unique verifiable fuzzy keyword search theme over encrypted cloud knowledge. We tend to propose a verifiable precise keyword search theme which extend this theme to the fuzzy keyword search theme. Here we tend to thus propose a system for fuzzy keyword sets rather than precise word search. This will help us drastically to reduce the costs and it also allows to have multi-users using the system simultaneously.
Nippon Shokubai announces the establishment of “Data Science &amp; Informatics Promotion Office” to enhance data-driven research and development

The original and general usage of the term information literacy has gradually diversified to fit different environments, communities, and functional settings, as evidenced by the existence of a wide range of information literacy standards. The focus of the paper is the context of scholarly information literacy, which is here assumed as a variable dependent from the transformations of both the scientific system and its communication processes. After a short excursus on the main ongoing transformations of science, the chapter, adopting a systemic perspective of analysis of both science and its communication processes, identifies some distinctive and functional traits of open science and their potential impact on innovative approaches to scholarly information literacy.
Cover

Meteoritics & Planetary ScienceVolume 55, Issue 5 p. i-i CoverFree Access Cover First published: 15 July 2020 https://doi.org/10.1111/maps.13327AboutPDF 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 Graphical Abstract Volume55, Issue5May 2020Pages i-i RelatedInformation
Security Model

In the previous chapter, we described different security architectures and designs to meet a set of security goals. We may have several questions at the end of that design and architecture discussion. Specifically, how do I know if the design is good enough? Is there any existing framework or scheme that can help me verify the security design works? For those types of questions, a security model can help. A security model is a methodology used to describe the system and a set of security policies to satisfy the security requirements. For example, there is a security requirement for a third-party PCI option ROM – the system firmware cannot trust it. We need to authenticate the PCI option ROM and authorize the execution rights to the PCI option ROM. We found that the Clark-Wilson integrity model can be applied to this security policy. This model defines nine rules for different security properties, such as integrity, access control, auditing, and accountability. Using this model, we can then design a secure solution and adopt those rules to provide the necessary security properties.
Super resolution reconstruction for medical image based on adaptive multi-dictionary learning and structural self-similarity

To improve the quality of the super-resolution (SR) reconstructed medical images, an improved adaptive multi-dictionary learning method is proposed, which uses the combined information of medical image itself and the natural images database. In training dictionary section, it uses the upper layer images of pyramid which are generated by the self-similarity of low resolution images. In reconstruction section, the top layer image of pyramid is taken as the initial reconstruction image, and medical image's SR reconstruction is achieved by regularization term which is the non-local structure self-similarity of the image. This method can make full use of the same scale and different scale similar information of medical images. Simulation experiments are carried out on natural images and medical images, and the experimental results show the proposed method is effective for improving the effect of medical image SR reconstruction.
Foreword/Introduction

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book discusses the relevant text for a series of mainstream MICS procedures, but also on QR codes – links to visual material from the Web. The paragraphs are marked by icons, for easy identification. Being a practical and unbiased guide, the content does not take sides, or show any kind of partiality to one technique, albeit demonstrating those perceived to be most popular. The demand for MICS surgery is strong in Asia, where patients don’t want large incisions and surgery altogether. The utilization of QR codes has in fact just started, and their potential will only expand as an educational tool, to append material on a secured Internet space. There is a plethora of apps out there, which anyone can download onto his smartphone, and exploit the full potential of QR codes.
Enhance Exhibits' Publicity With Social Media Toolkits

Nonprofit Communications ReportVolume 18, Issue 5 p. 8-8 Nonprofits That Host Exhibits Enhance Exhibits' Publicity With Social Media Toolkits First published: 07 April 2020 https://doi.org/10.1002/npcr.31471Read 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. Volume18, Issue5May 2020Pages 8-8 RelatedInformation