Reviewerly/exHarmony huggingface dataset:
Public-key cryptosystem based on quantum BCH codes and its quantum digital signature

There is a security threat to the traditional cryptography because of the emergence of quantum computation. Quantum computers can break through many cryptosystems based on mathematical puzzles. The post-cryptography has been established for the sake of the security. It has been proved that McEliece public-key cryptosystem based on error-correcting codes can resist quantum attacks. In this paper, several new generating algorithms of the quantum Bose-Chaudhuri-Hocquenghem (BCH) codes have been proposed, and the quantum BCH codes can correct the errors including bit-flip and phase-flip. At the same time, the quantum McEliece public-key cryptosystem and quantum Niederreiter public key cryptosystem have been designed by us on the basis of quantum BCH codes in this paper, and their encryption and decryption procedures are created in detail. Our cryptosystem not only retains the advantages of postquantum computation, but also can encrypt or decrypt in quantum state. From the perspective of computational complexity theory, both cryptosystems can resist the attacks of Shor algorithm and Grover algorithm very well. The Niederreiter classical digital signature is designed by us according to the structure characteristics of quantum BCH codes.
Data Theft

This chapter details the consequences of data breaches for a company and its customers. Someone has discovered that the company has stored personal details of customers in an unencrypted database on an insecure server located somewhere in Idaho. Unfortunately, an enterprising hacker has put up the entire database for sale on the dark web. The company suspects that somebody probably fell for a phishing attack, then someone got in and dismantled their cybersecurity. As it turns out, other companies, governments, and city administration have all been victims of data breaches. Data breaches could cost companies millions as customers could sue them for identity theft.
Image Cartoonization

This paper presents an approach to cartoonize digital images into cartoon-like. The method used is different from as others used previously. This paper focuses on various techniques involved during the whole process, which, when used on layer by layer, gives an appropriately balanced output. We tend to explore different functions that can be integrated together in a particular pattern to get a filtered and composed output. The mathematical approach to different functions has also been explicated and the working is explained in detail. This system aims to use the filters' full functionality, which will help both in application and research, and can work as a framework to any computer vision-related systems and can be improved and embedded with other systems to work both as an independent module or as an integrated system.
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 3 p. I-I Full Issue Full Issue First published: 02 May 2019 https://doi.org/10.1111/j.1467-6346.2019.08828.xAboutPDF 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 Volume56, Issue3May 2019Pages I-I RelatedInformation
Intake

OpflowVolume 45, Issue 6 p. 2-2 Departments Intake First published: 30 May 2019 https://doi.org/10.1002/opfl.1197Read 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. Volume45, Issue6June 2019Pages 2-2 RelatedInformation
A Comparative Analysis of a Novel Anomaly Detection Algorithm with Neural Networks

Anomaly Detection is an important research domain of Pattern Recognition due to its effects of classification and clustering problems. In this paper, an anomaly detection algorithm is proposed using different primitive cost functions such as Normal Perceptron, Relaxation Criterion, Mean Square Error (MSE) and Ho-Kashyap. These criterion functions are minimized to locate the decision boundary in the data space so as to classify the normal data objects and the anomalous data objects. The authors proposed algorithm uses the concept of supervised classification, though it is very different from solving normal supervised classification problems. This proposed algorithm using different criterion functions has been compared with the accuracy of the Neural Networks (NN) in order to bring out a comparative analysis between them and discuss some advantages.
FPGA Implementation of Fault Tolerant &amp; High Speed Reversible Systolic Multiplier

Multiplier is one of the essential components in the digital world such as in digital signal processing, quantum computing, microprocessor and widely used in arithmetic unit. The Reversible rationale is a used to decrease heat scattering and data misfortune. Contrasted with all essential math activities, multiplication requests all the more preparing time and look for complex equipment. This paper presents a plan of low power Systolic Array Multiplier utilizing Reversible logic gates which performs information handling in parallel. In this paper, we present a high speed 4x4 Systolic Multiplier design by using peres gate and toffoli gates and source code written in verilog and also implemented on FPGA Spartan 3s50pq208-4. The synthesis and simulation is done on Xilinx ISE 14.7. The delay is 17.642ns and static power dissipation is 24mW.
The Economics of Scholarly Publishing: Through a Glass, Darkly

SUMMARY. The three presentations in this session provide an introduction to the economic challenges faced by small scholarly publishers. The first talk reviews trends in the library market and publishing trends of increased monopolization; the second describes the demands of technological innovation; and the final talk presents a budgetary case study from a medium-sized society publisher evaluating the impact of dropping the production of print journals. After the three talks, a list of eight recommendations for alleviating the pressure on small publishers was presented for audience discussion. The three speakers are all active in the Society for Scholarly Publishing (SSP) and invite a closer collaboration with NASIG. Kasdorf is a Past President and Ivins and Seitter are Board members. All three are committee chairs or cochairs. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
ZIMBABWE: Deepening Currency Crisis

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 4 p. 22550B-22551C Policy and Practice ZIMBABWE: Deepening Currency Crisis First published: 02 June 2019 https://doi.org/10.1111/j.1467-6346.2019.08904.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue4June 2019Pages 22550B-22551C RelatedInformation
Poor countries

Countries are poor, not just because they have many poor people, but because they are less developed than others; development reshapes the economic, social and political relationships in a country. Some accounts treat underdevelopment as something which is pathological or endemic in a country, but there are also strong structural reasons, including domination by other countries and structural dependency.
Ten‐minute chat

Having been selected by Petplan to join its social media panel, vet nurse Jenny Freeth has been busy offering online advice to pet owners.
Image Classification

Image classification can be done with pretrained networks. MATLAB makes it easy to access and use these networks. This chapter shows you two examples.
DOI: https://doi.org/10.36873/ae , Frits Fahridws Damanik

ABSTRACTChili is one of the leading commodities of vegetables which has strategic value at national and regional levels.An unexpected increase in chili prices often results a surge of inflation and economic turmoil. Study and modeling ofchili production are needed as a planning and evaluation material for policy makers. One of the most frequently usedmethods in modeling and forecasting time series data is Autoregressive Integrated Moving Avarage (ARIMA). Theresults of ARIMA modeling on chili production data found that the data were unstationer conditions of the mean so thatmust differenced while the data on the production of small chilli carried out the stages of data transformation anddifferencing due to the unstationer of data on variants and the mean. The best ARIMA model that can be applied basedon the smallest AIC and MSE criteria for data on the amount of chili and small chilli production in Central KalimantanProvince is ARIMA (3,1,0).Keywords: modeling of chilli, forecasting of chilli, Autoregresive Integrated Moving Avarage, ARIMA, Box-Jenkins.
RBC Classification in Blood Smear Image using Neural Network

Biomedical image processing becomes an emerging field due to automation in the field of medical science with the help of image processing techniques. In medical science it is very much essential to diagnosis a disease accurately and efficiently. Most of the disease which deals with the blood test report for diagnosis of the disease. This paper proposed a computer vision based method which extract the Red Blood Cells (RBC) from a blood smear image and classify it whether normal or abnormal. Then it will count the normal RBC as well as abnormal RBC. This method works in two parts, one is segmentation of blood cell and other is classification and counting of segmented blood cells using neural network. The Neural network trained and classified using shape and moment invariant features because this features are invariant to translation, scaling and rotation. The proposed method performs well and gives about 90 percent of correct result.
Supplementary material to &amp;quot;ProbFire: a probabilistic fire early warning system for Indonesia&amp;quot;

Figure S1: Model prediction of active fires > 10 cases probability and observed active fire counts.Shown are SEAS5-based (left column) and climatology-based (right column) probability predictions at lead time of 3 and observed monthly active fire counts for October in six example years (rows).
On the Forms and Content of Moral Instruction in School Books and Children’s Reading Books of the 16th to the Early 19th Centuries. Part II

On Forms and Content of Moral Instruction in School Books and Children’s Reading Books of the 16th – Early 19th C.
Deep Transfer Learning &amp;amp;Amp; Beyond: Transformer Language Models in Information Systems Research

AI is widely thought to be poised to transform business, yet current perceptions of the scope of this transformation may be myopic. Recent progress in natural language processing involving transformer language models (TLMs) offers a potential avenue for AI-driven business and societal transformation that is beyond the scope of what most currently foresee. We review this recent progress as well as recent literature utilizing text mining in top IS journals to develop an outline for how future IS research can benefit from these new techniques. Our review of existing IS literature reveals that suboptimal text mining techniques are prevalent and that the more advanced TLMs could be applied to enhance and increase IS research involving text data, and to enable new IS research topics, thus creating more value for the research community. This is possible because these techniques make it easier to develop very powerful custom systems and their performance is superior to existing methods for a wide range of tasks and applications. Further, multilingual language models make possible higher quality text analytics for research in multiple languages. We also identify new avenues for IS research, like language user interfaces, that may offer even greater potential for future IS research.
Research on the Mixed English Teaching Model of Vocational College under the Background of "Internet Plus"

With the advent of "Internet plus" era, English teaching in higher vocational education has been greatly enriched, which has laid a foundation for the construction of mixed teaching mode.This paper first briefly introduces the basic concepts of "Internet plus" and mixed teaching.Meanwhile, it discusses the existing problems of English teaching in higher vocational colleges as well as opportunities brought by the "Internet plus" era to the reform of English teaching in higher vocational colleges.On this basis, some suggestions on the construction of mixed vocational English teaching model are put forward.
Mobile Learning Initiatives in Nursing Education

Mobile learning is a very exciting approach to learning that has the possibility of changing nursing education, providing learning to nurses when and where they need it and in a manner that will achieve positive learning outcomes. Coming from an apprenticeship model in the military, nurses have traditionally learned by seeing and then doing. Mobile learning through means such as YouTube and augmented reality offers the best of this traditional way of learning combined with time- and cost-efficient means of technology use and greater theoretical knowledge. Reaching nurses in rural and isolated communities is also possible through these means. This is achieved through the use of SMS and online learning that is able to be used at a time and place suitable for the nurse, enabling them to include learning within their lives in a way that suits them. Many isolated trials have occurred in nursing education over the years, starting with the use of PDAs, and although many have shown success, there is not a great deal of research that has been conducted in the use of mobile education in nursing. Considering this, research was conducted using a grounded theory approach that investigated nurse’s current use of mobile technology and their beliefs around mobile learning. The study also explored how and when nurses are undertaking continuing education, with the discovery of how they personally resource their learning. When looking at trials of mobile learning within nursing education, it is apparent from these trials and the study that nurses are ready for mobile learning and that mobile learning shows great potential as a method for education within the nursing profession.
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 8 p. I-I Full Issue Full Issue First published: 01 October 2019 https://doi.org/10.1111/j.1467-6346.2019.09082.xAboutPDF 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 Volume56, Issue8October 2019Pages I-I RelatedInformation
Meeting Our New Members of Editorial Board of Rising Stars

Chinese Journal of ChemistryVolume 38, Issue 10 p. 1207-1208 Meeting Our New Members of Editorial Board of Rising Stars Meeting Our New Members of Editorial Board of Rising Stars First published: 17 September 2020 https://doi.org/10.1002/cjoc.202090105Read 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. Volume38, Issue10October 2020Pages 1207-1208 RelatedInformation
Shadowing Technique on Students’ Listening Word Recognition

Language learning demands the learners to provide themselves with basic language skills. One of the skills is listening. One aspect of listening skills is word recognition. Related to that issue, the objective of this research was to find out the significant effect of shadowing technique on students' listening in word recognition. This study followed the Experimental research method. The researcher took SMP Muhammadiyah 02 Pahlawan, Medan, A.Y 2019/2020 as the study location. The population of this research was the eighth-grade students. Since there were only two classes in the eighth grade, this study took the population as the sample. The researcher used one class as the experimental group and the other class as the control group. Each class consisted of 30 students. The instruments of the data collection were listening tests. The researchers administrated the tests as the pre-test and post-test to both experimental and control groups. Based on the data analysis, the result shows that applying the shadowing technique influences students’ listening ability in word recognition, which was proven by the result of the t-test. The t-score was higher than t-cv (5.2915 &gt; 2.024), = 0.05, at df = 28. In other words, the alternative hypothesis (Ha) was accepted, and the null hypothesis (H0) was rejected; the effect of shadowing technique on the students' listening in word recognition was 63.80% and 36.20% from the other factors.
Cross-Register Projection for Headline Part of Speech Tagging

Part of speech (POS) tagging is a familiar NLP task.State of the art taggers routinely achieve token-level accuracies of over 97% on news body text, evidence that the problem is wellunderstood.However, the register of English news headlines, "headlinese", is very different from the register of long-form text, causing POS tagging models to underperform on headlines.In this work, we automatically annotate news headlines with POS tags by projecting predicted tags from corresponding sentences in news bodies.We train a multi-domain POS tagger on both long-form and headline text and show that joint training on both registers improves over training on just one or naïvely concatenating training sets.We evaluate on a newly-annotated corpus of over 5,248 English news headlines from the Google sentence compression corpus, and show that our model yields a 23% relative error reduction per token and 19% per headline.In addition, we demonstrate that better headline POS tags can improve the performance of a syntax-based open information extraction system.We make POSH, the POS-tagged Headline corpus, available to encourage research in improved NLP models for news headlines.
Towards Understanding Developers’ Machine-Learning Challenges: A Multi-Language Study on Stack Overflow

Welcome to the 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2021)! We hope that you enjoy the conference and that it will inspire you in your future research. Should you require a certificate of participation please contact Alexander Serebrenik, the general chair of SCAM, at a.serebrenik@tue.nl. For questions related to the Morressier virtual platform please contact support@morressier.com.
An extended image encryption with Markov processes in solutions images dynamical system of non-linear differential equations

The process of hiding texts or images into images and signals has been remained contemporary topics over more than decades in Information Sciences. An attempt has been made to hide information or images into the solutions of non-linear differential equations of some especial type like Lorezn and Rossler’s equations, these equations have great importance in almost all practical applications from engineering, geography (weather forecasting) and even in stock markets due to its chaotic behavior of solutions which is dependent on initial conditions. The chaotic nature and the aperiodicity of such solutions have become the main source of attraction for encryptions. The 3D parametric (time) series of solutions of Lorenz and Rossler’s equations are produced phase vectors, and one of these phase vectors is chosen for the purpose of text or image embedding into its error (noise). The error (noise) is a part of chaotic solutions behaved aperiodicity in phase vectors. This attracted the embedding of manipulated text or image into it. Modified or reconstructed phase vector embedded with text or image when reproduced in the form of phase surfaces are quite similar to the original solutions surfaces. So Lorenz and Rossler solutions are used for embedding benchmark images like Lena, Fruits and Vegetables. Having embedded these images into series solutions, we found Lorenz solutions are more appropriate over the Rossler solutions. A thorough statistical analysis together with histograms of both original images and embedded images are reported. Experiments with RGB values of embedded images are also reported. In the present research, we have further extended this technique by using Markov processes to our target images and converted into encrypted images before embedding into solution phase vector of Lorenz and Rossler’s equations. Markov processes are made more confusing/diffusing the target images and has become difficult for intruders to attack for retrieval.
Horizontal Web Searching and Navigational Resource Identification

Generally speaking, horizontal search engines are meant to deal with general web queries. In the context of this chapter, the authors investigated the act of navigational resource identification in the light of horizontal web searching. State-of-the-art navigational resource identification is reluctant to the distinct characteristics of the navigational queries and specific users' treatments toward different searching tasks. Consequently, in this chapter, the authors discussed a new mechanism for navigational resource identification according to previous findings.
Ways to Make Your Web Content Pop

Nonprofit Communications ReportVolume 17, Issue 8 p. 7-7 Articles Ways to Make Your Web Content Pop First published: 15 July 2019 https://doi.org/10.1002/npcr.31267Read 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. Volume17, Issue8August 2019Pages 7-7 RelatedInformation