Reviewerly/exHarmony huggingface dataset:
An Improvement Of Least Square - Twin Support Vector Machine

In binary classification problems, two classes of data seem to be different from each other. It is expected to bemore complicated due to the number of data points of clusters in each class also be different. Traditional algorithmsas Support Vector Machine (SVM), Twin Support Vector Machine (TSVM), or Least Square Twin Support VectorMachine (LSTSVM) cannot sufficiently exploit information about the number of data points in each cluster of the data.Which may be effect to the accuracy of classification problems. In this paper, we propose a new Improvement LeastSquare - Support Vector Machine (called ILS-SVM) for binary classification problems with a class-vs-clusters strategy.Experimental results show that the ILS-SVM training time is faster than that of TSVM, and the ILS-SVM accuracy isbetter than LSTSVM and TSVM in most cases.
WEAK N-BEST POAFD FOR SOLVING PARABOLIC EQUATIONS IN REPRODUCING KERNEL HILBERT SPACE

The analytical solutions and numerical ones of parabolic equations in one space variable and the time variable are constructed by weak N-best pre-orthogonal adaptive Fourier decomposition method (weak N-best POAFD) in reproducing kernel Hilbert space (RKHS). To apply weak N-best POAFD, we first choose a dictionary for weak N-best POAFD and implement preorthonormalization to all dictionary elements. Then select some parameters by weak N-best maximal selection principle and determine some normalized dictionary elements iteratively. Thus, the analytical solution can be expressed as a linear combination of these determined normalized dictionary elements with a fast convergence rate. Some numerical examples confirm the good accuracy and applicability of the weak N-best POAFD method in solving the partial differential equations.
Breast Cancer Risk Stratification in Women of Screening Age: Incremental Effects of Adding Mammographic Density, Polygenic Risk and a Gene Panel

Background: There is great promise in risk stratification in breast cancer to target screening and prevention. It is unclear whether adding gene panels to other risk tools improves breast cancer risk-stratification and adds discriminatory benefit on a population basis.Methods: 10,025/57,902 women aged 46-73 years in the Predicting-Risk-Of-Cancer-At-Screening study provided DNA samples. A case-control study within this cohort was used to evaluate breast cancer risk-assessment using a polygenic-risk-score (PRS), cancer gene panel (n=33), mammographic density (density-residual-DR) and questionnaire risk factors (Tyrer-Cuzick-model-TC8).Findings: 525 cases and 1410 controls underwent gene panel testing and a PRS (18,143,313 Single-Nucleotide-Polymorphisms-(SNPs)). Actionable pathogenic variants (PGVs) in BRCA1/2 were found in 1.7% of cases and 0.55% of controls and overall PGVs in 6.1% of cancers (PALB2=4, ATM =6, CHEK2 =10) and 1.3% of controls. A combined assessment of TC8-DR-SNP313+gene-panel provided the best risk-stratification with 26.1% controls and only 9.7% cases identified at <1.4% 10-year risk and 9.01% controls and 23.3% cases at ≥8% 10-year risk but TC8-DR-SNP143+gene panel provided the best AUC=0.680 (95%CI=0.652–0.715, however addition of a panel did not significantly improve discrimination. Only 7/17 PGVs in cases resulted in actionable risk category change. An extended case (n=621) control (n=1794) series with TC8-DR-SNP143 identified 18.9% of controls and only 5.6% of stage 2+ cases at <1.4% 10-year risk, but 20.7% of controls and 47.9% of stage 2+ cases at ≥5% 10-year risk.Interpretations: Addition of a gene panel has marginal additional risk-stratification value to a PRS (143/313 SNPs) in a combined model, but is important for those individual women. Further studies and economic analysis will determine whether adding a panel to a PRS is a cost-effective strategy for risk-stratification.Funding: National Institute for Health Research RP-PG-0707-10031 and Biomedical Research Centre (IS-BRC-1215-20007). Prevent Breast Cancer (references GA10-033/GA13-006).Declaration of Interest: None to declare. Ethical Approval: Approved by the North Manchester Research Ethics Committee (ref. 09/H1008/81).
Reviews

Computational Statistics in the Earth Sciences with Applications in MATLAB, by Alan D. Chave, ISBN 978-1-107-09600-4, 2017, Cambridge University Press, 464 p. Timefulness: How Thinking Like a Geologist Can Help Save the World, by Marcia Bjornerud, ISBN 978-0-691-18120-2, 2018, Princeton University Press, 224 p.
Addressing Cyber Security Accessibility: A Qualitative Study

This short paper highlights the experience of victims of social engineering attacks and their accessibility to cybersecurity mechanisms.Current research has mainly focused on technical and digital literacy in curbing cyber-attacks which leaves out users with little or no technical ability in recognizing cyber-attacks.The experiences of 17 victims of social engineering attacks are sought using semi-structured interviews.The analysis of the interview data was done using grounded theory, and two main categories relevant to social engineering methods and accessible cybersecurity mechanisms were identified.Finally, this paper presents important recommendations on cybersecurity mechanisms that are accessible to users with little or no digital literacy.
Getting Started in Cryptography and Cryptanalysis

Due to the rapid evolution of electronic communication, the number of issues raised by information security increases every day. Messages shared over publicly accessible computer networks around the world must be secured, preserved, and have proper security mechanisms to protect against compromise by third parties. Electronic communications and transactions require digital signatures that law enforcement agencies can recognize and trust. Modern cryptography provides solutions to these problems.
Copy Move Forgery Detection Based on Dense-field and Sparse-field Method

Copy move is a common means of digital image forgery. Some regions in an image copied and pasted to other regions of the same image to achieve the purpose of increasing or eliminating some targets. SIFT algorithm has been widely used in the field of copy move forensics because of its robustness, such as rotation, scaling, brightness change and so on. However, SIFT algorithm cannot extract enough keypoints for tamper detection in smooth regions and usually cannot give accurate location of tamper regions. In order to overcome the first problem, we transform the color image to gray, HSV and Lab space before feature extraction. For the second problem, we propose a fusion strategy combining sparse-field method and dense-field method. The proposed algorithm is mainly divided into three stages. In the first stage, the image is preprocessed by color space transformation and adaptive Simple Linear Iterative Clustering (SLIC) segmentation. In the second stage, SIFT algorithm is used for keypoint extraction and matching. Then, the SLIC superpixel of the matching keypoints is used as the rough location before block feature extraction. In the third stage, Zernike moments feature extraction and PatchMatch feature matching is performed for the above region. Finally, the tamper region is accurately located by morphological post-processing. Extensive experiments demonstrate the superior performance of the proposed scheme.
Planning to Celebrate an Anniversary?

Nonprofit Communications ReportVolume 18, Issue 4 p. 7-7 Event Planning Planning to Celebrate an Anniversary? First published: 03 March 2020 https://doi.org/10.1002/npcr.31441Read 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, Issue4April 2020Pages 7-7 RelatedInformation
Governance

Higher Education AbstractsVolume 55, Issue 2 p. 147-147 GOVERNANCE Governance First published: 28 April 2020 https://doi.org/10.1111/hea.21_12146Read 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. Volume55, Issue2April 2020Pages 147-147 RelatedInformation
Markov Fields on Graphs

Markov fields are also called Gibbs fields in honor of the founder of Statistical Mechanics.1 Although they were historically of special interest to physicists, they have recently found applications in other areas, in particular in image processing.
Cover

Meteoritics & Planetary ScienceVolume 54, Issue 12 p. i-i CoverFree Access Cover First published: 15 December 2019 https://doi.org/10.1111/maps.13170AboutPDF 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 Volume54, Issue12December 2019Pages i-i RelatedInformation
An Innovative Model for both Cloud Security and Privacy in Provision of Secure Cloud Services

Because of diverse benefits such as counting services on demand, decreasing costs, computing resources configuration, flexibility, services scalability, etc. over internet, Cloud Computing has become and is becoming widely and hugely accepted technology to provide services. On the other hand, privacy and security of a cloud has become an issue as this technology is tremendously emerging in the world. Many researches are being done and even some proposed various models to identify and overcome the privacy and security issues. In this review, for the cloud providers to use during different stages of cloud services, a layered cloud security and privacy model (CSPM) will be provided. The CSPM model allows to overcome cloud security issues and thus, providing safe and protected services. Lastly, countermeasures and security threats will be presented.
Ontology Reasoning Towards Sentimental Product Recommendations Explanations

In the last two decades various organizations like service industries, study communities, academic world and public industries are working intensely on sentiment analysis, to extract and analyze public views. The reviews given on the social websites, commercial websites, etc. enable customer to share their point of view. Explainable Recommendation algorithms help the user by providing explainable recommendations, which improves user satisfaction. Recently, many researchers proposed explainable recommendations. In this survey Firstly, various opinion-mining approaches are explored. Secondly, we reviewed sentiment-based and ontology based recommendation systems. Finally, prospects for the research in opinion mining is discussed.
Cryptanalysis Attacks and Techniques

In this chapter, we will cover the most important and useful cryptanalytic and cryptanalysis standards, validation methods, classifications, and cryptanalysis attacks.
Axial Force Measurement Method Using Digital Image Correlation

As a simple and highly accurate axial force management method during manufacturing and maintenance of bolt-fastened structures, we examined a method to calculate the axial force from the image of the bolt head. In this method, the axial force is calculated using the strain on the bolt head measured by digital image correlation (DIC) technique from the image of the bolt head and strain results database by finite element analysis (FEA) that organizes the relationship between the strain and the axial force. We examined this method through two comparisons. The first was to compare the strain on the bolt head measured by DIC with data by strain gauges on the bolt head. The second was to compare the axial force calculated by using the relation database with data by strain gauges on the bolt side. As a result of comparing measured strain by DIC on M10 bolt head with data by strain gauges, the higher the axial force, the smaller the error between the two, and the error was less than 10% at the proof load 18kN in strength category 4.8. We confirmed that the strain on the bolt head generated its fastening can be measured with high accuracy using DIC. Axial force was calculated by using the relation database value of case in which the strain by FEA was being equal as the strain by DIC. The axial force calculation based on DIC measurement for a M10 bolt with 15.4kN fastening force showed 16.5kN, thus the error was 6.9%. We confirmed that the axial force calculation result based on the measurement strain on bolt head by DIC indicated much better accuracy than 30% in error by typical conventional torque management method.
Handwriting Text Recognition using Neural Networks

Handwritten text recognition is a laborious task because humans can write a similar message in numerous ways or due to huge diversity in individual’s style of writing. The performance of text recognition systems implemented as neural networks has better results and accuracy than normal traditional classifiers. In this paper we explore the methods used to recognize and detect handwritten text or words in different languages. The major method used to recognize text is the Convolutional neural network (CNN) as a deep learning classifier. The other techniques used are Recurrent Neural Network (RNN) and a custom developed model called deep-writer, which is a variant of CNN architecture.
Standards

There are several organizations standardizing technologies, processes, and applications required in different parts of the information and communication industry. The standards assure interoperability between devices connected to the telecommunications networks (e.g., mobile network standards and Internet standards) and between processes running on these devices (e.g., World Wide Web standards). Reasons why the industry cooperates developing these standards are (1) that the development of standards often requires huge resources both in terms of investments and manpower and (2) that standards are needed to create a global marketplace for a technology and, hence, justifying the expenses associated with the development of the standard. Since standards are open for both manufacturers of equipment and providers of services, they commoditize the technology they specify.
FACETS OF KNOWLEDGE AND COGNITION IN THE TRILOGY «THE GREAT JOURNEY» BY L.V. SHAPOSHNIKOVA

The article discusses the features of the philosophy of Living Ethics and its system of knowledge, which became the basis of the creative and scientific heritage of Roerichs. The possibilities of expanding the boundaries of knowledge based on the cosmic worldview and knowledge of the laws of existence are shown. The main attention is paid to the development of the inner world of a person as a microcosm. The problem of the truth and reliability of knowledge related to the spiritual ethics of man and his culture, which allows him to be an active participant in the process of cosmic evolution, is highlighted.
Machine Learning Centric Product Endorsement on Flipkart Database

The growing need for individual mining information from text leads to analyzing sentiment and viewpoints. Retailers, E-commerce companies, product companies, media houses, real estate firms, and whom all have recognized that sentiment analysis is the key to success. They perform sentiment analysis necessary to get customer information related to feelings; attitudes, reactions, and opinions of existing and potential buyers towards their product or services. In this context, evaluating an individual's viewpoint or humor from a piece of text is challenging. In recent years the need for this analysis has increased due to the benefits obtained from it. In this paper, we conduct sentiment analysis on Flipkart product reviews using machine learning techniques to address the above challenge.
Design Considerations of Lightweight Block Ciphers for Low-Cost Embedded Devices

In the 21st century, Internet of Things (IoT) has become pivotal technology and has attracted worldwide attention in the smart computing environment. In order to enjoy the benefits of this new environment, security is considered as the main aspect in constrained end nodes. Ordinary cryptographic solutions are not sufficient for resource constraint devices. To fulfill this gap, a relatively new field of cryptography called lightweight cryptography came into existence. Furthermore, designing lightweight ciphers especially software oriented poses some significant limits and inherent conditions. Some design considerations of a lightweight encryption algorithm and tradeoffs for minimizing resource requirements are presented in this paper. Also, for a cipher, it is necessary to provide strong resistance against attacks. In this paper different countermeasures to prevent from attacks is also presented. By considering the performance-enhancing ideas presented in this paper, a new GFN based lightweight block cipher is proposed. A cipher design has two main parts; internal structure and key schedule. The internal structure of the proposed design has three layers in which operations are so arranged that it utilizes small code size and has fast diffusion. Besides, design of newly proposed cipher is such that it thwarts the effect of most of the attacks. In the nutshell, this paper serves as a base for designing good lightweight cipher for resource constraint smart IOT environment.
Transformation Across Deep Learning Frameworks

Since the presented approach uses MatConvNet of Matlab as a preliminary training platform, the pre-trained CNN model of MatConvNet cannot be directly integrated into the Xcode platform currently. Therefore, developers need a third-party platform as a bridge, so that developers can transfer the model of Matlab to the Xcode environment and finally mount the model to an app for executing and testing on the iOS device. Apple provides developers with Core ML Tools to support the Caffe framework. Therefore, developers can convert the Caffe model into the ML model through Core ML Tools. Moreover, the Caffe provides MatCaffe for connecting Matlab and Caffe. It is apparent that developers can achieve the goal through these two bridges.
Improved Data Hiding Scheme using VQ based Index Map Compression and Codebook Extension

Now-a-days, data protection has become inevitable for confidential transactions that happen over net. Transmission of such confidential data has become a challenging issue in today’s scenario. Many Data Hiding techniques are used for transmitting data in a secured way. The secret data can be hidden as part of any type of file such as Text file, Sound file, image file, Video file, etc. It has been proposed to hide secret data as part of cover image. The proposed work adopts Vector Quantization (VQ) which is one of the powerful and simple image compression techniques to compress the size of the cover image and to reduce the cost associated with storage/transmission. VQ transforms the cover image into its corresponding Codebook and IndexMap. The confidential data is then embedded as part of the Codebook and IndexMap. The proposed method helps in improving the performance by increasing the embedding capacity and coding efficiency. The performance of Steganography is improved in three levels. The embedding capacity of the proposed method is increased by 23,726 bits when compared to that of existing similar methods, which is a significant improvement.
Understanding Anti-Forensics Techniques for Combating Digital Security Breaches and Criminal Activity

This chapter deals with the understanding of techniques that are used to create damage to the expert in an investigative process. The name used for these techniques is called anti-forensics, whose mission is to conceal, remove, alter evidence, or make inaccessible a cybercrime. These techniques aim to make the work of the slower expert or difficult to reach a conclusion; however, this chapter will explore some techniques used as measures to subvert digital evidence through anti-forensic measures.
Efficient and Privacy for Data Integrity and Data Replication in Cloud Computing

Distributed computing and capacity administrations enable customers to move their server farm and applications to unified huge server farms and in this manner keep away from the weight of neighborhood information stockpiling and upkeep. In any case, this stances new moves identified with making secure and solid information stockpiling over temperamental specialist organizations. In this examination, we address the issues of guaranteeing the uprightness of information stockpiling and information replication in distributed computing. To begin with, specifically, we consider strategies for decreasing the weight of producing a steady measure of metadata at the customer side. what's more, Second we proposed and set forth the aftereffects of a framework which will execute a capacity technique that uses the Division and Replication procedure for putting away the information. In this framework, the record will be divided and these parts will be duplicated by the replication factor before putting away it upon the cloud. Replication of a prevalent document and putting away its imitation in the areas closer to the customers who are settling on solicitations is the best decision to lessen the execution time. Despite the fact that replication helps in expanding accessibility, the topic of how to choose an ideal replication number and right areas to put the copies are open difficulties. By abusing some great characteristics of the bilinear gathering, we can devise a basic and effective review administration for open confirmation of untrusted and re appropriated capacity, which can be significant for accomplishing broad organization of distributed computing. While numerous earlier examinations on guaranteeing remote information uprightness did not consider the weight of creati check metadata at the customer side, the target of this investigation is to determine this issue. In addition, our plan likewise underpins information elements and open obviousness. Broad security and execution investigation demonstrates that the proposed plan is profoundly effective and provably secure.
Nineteenth-Century Psychophysics

Weber and Fechner found psychophysics on a probabilistic notion of just noticeable differences. Wundt studies psychophysics of pleasure and finds that too much is a bad as too little. Von Kries finds a hidden convention behind the foregoing. Peirce and Jastrow point to subliminal pleasures.