Reviewerly/exHarmony huggingface dataset:
Quantum Key Distribution Based-on Refraction and Polarization Entanglement

Cryptography is the specialty of encoding and decoding messages and exists as extended as the individuals have doubted from one another and need secure correspondence. The traditional techniques for encryption naturally depend on any among public key or secret key approaches. In general, the public key encryption depends on two keys, for example, public key and private key. Since encryption and decryption keys are different, it isn't important to safely distribute a key. In this approach, the difficult of the numerical issues is assumed, not demonstrated. All the security will be easily compromised if proficient factoring algorithms are found. In secret key encryption two clients at first create secret key, which is a long string of arbitrarily selected bits and safely shares between them. At that point the clients can utilize the secret key along with the algorithms to encryption and decryption information. The procedures are complicated and also planned such a way that every bit of output is based on every bit of input. There are two fundamental issues with secret key encryption; first one is that by breaking down the openly known encoding algorithms, it gets simpler to decrypt the message. The subsequent one is that it experiences key-conveyance issue. As a result of the ongoing improvements in quantum processing and quantum data hypothesis, the quantum computers presents genuine difficulties to generally utilized current cryptographic strategy. The improvement of quantum cryptography beat the deficiencies of old style cryptography and achieves these huge accomplishments by using the properties of infinitesimal articles, for example, photon with its polarization and entangled state. In this paper, Polarization by refraction based quantum key distribution (PR-QKD) is proposed for quantum key generation and distribution. The proposed work considers three basis of polarization such as rectilinear (horizontal and vertical), circular (left-circular and right-circular), ellipse (left-ellipse and right-ellipse) and refraction factor. This quantum key can be used for secure communication between two users who are spatially separated and also offer intrusion detection ability to detect attackers. The theoretical approach and conceptual results are discussed in this paper.
Protocol of the benchmark for designing and developing the National Edition of Aldo Moro&amp;#39;s works v1

This work aims to define a series of reference models that would serve as a guide to the design and development of the National Edition of Aldo Moro's works. These models have been defined through a benchmarking process that is organized as follows: content analysis on a sample of 30 digital editions, evaluated on the basis of certain criteria defined in [Sahle 2014]; processing of the data gathered as a result of the content analysis, so as to extract the relevant information, and visualize it; review of the data processing results and consideration of the models that can be used as reference. The digital editions that meet the quality criteria taken into consideration are equipped with the following characteristics: their audience is composed of both domain experts and generic users; their documentation is rich and accurate; their content is described by a complete set of metadata; they and their single parts are citable and uniquely identifiable; their data model is geared towards interoperability and interlinking between its contents and the relevant resources already existing on the Web; they use visualization and storytelling tools so as to convey information intuitively; their information architecture is well-structured and easily navigated; their data and contents can be downloaded in many different formats; they take advantage of Open Source software and tools; finally, their contents are open and accessible to anyone.
Effect of Mobile Phone Utilization in Predicting Drought Progression in Arid and Semi-Arid Lands: A Case of Kinna Ward in Isiolo County, Kenya

In the event of natural disaster occurrences such as hurricanes, earthquakes, floods, pandemic and epidemic diseases, phone utilization aspects such as calls, SMS, airtime, and mobile money transaction have been widely used to monitor behavioral change and prevalence trend of the affected population.
SVM and KNN Based SGO Feature Selection Algorithm for Breast Cancer Diagnosis

In diagnosis and prediction systems, algorithms working on datasets with a high number of dimensions tend to take more time than those with fewer dimensions. Feature subset selection algorithms enhance the efficiency of Machine Learning algorithms in prediction problems by selecting a subset of the total features and thus pruning redundancy and noise. In this article, such a feature subset selection method is proposed and implemented to diagnose breast cancer using Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms. This feature selection algorithm is based on Social Group Optimization (SGO) an evolutionary algorithm. Higher accuracy in diagnosing breast cancer is achieved using our proposed model when compared to other feature selection-based Machine Learning algorithms.
Secured DevOps (SecDevOps)

DevOps is a blending of software development and operations, and a set of automated practices to condense release cycles across the life cycle of software development. SecDevOps (also referred to as SDevOps or DevSecOps) extends the methodology by integrating security best practices into the development, quality assurance, and deployment of software in this life cycle. DevOps automation tools use privileged credentials like any application-to-application solution and security cannot be an afterthought. Consider the following DevOps security risks:
PENTINGNYA IMPLEMENTASI SISTEM INFORMASI MANAJEMEN DALAM DUNIA PENDIDIKAN

The purpose of writing this article is to find out the importance of implementing management information systems in the world of education. Implementation of management information systems in the world of education is very important to be held in order to improve the quality of quality education. Implementation of management information systems in the world of education makes it easy for someone to get the data or information needed and easily get the data and information.
An algorithm to generate short sentences in natural language from linked open data based on linguistic templates

The generation of natural language phrases from Linked Open Data can benefit from a significant amount of information available on the internet, as well as from the existence of properties within them, which appears, mostly, in the RDF format. These properties can represent semantic relationships between concepts that might help in creating sentences in natural language. Nevertheless, research in this field tends not to use the information in RDF. We support that this is a factor that might foster the generation of more natural phrases. In this scenario, this research explores these RDF properties for the generation of natural language phrases. The short sentences generated by the algorithm implementation were evaluated regarding their fluency by linguists and native English speakers. The results show that the sentences generated are promising regarding sentence fluency.
Complex programming in the <i>tidyverse</i>

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
Active Job

Web applications often need to perform long-running tasks in response to a request. For example, in the previous chapter, we modified our blog to send emails. While it's true that sending an email usually only takes a second or so, web developers are often concerned with milliseconds. So what's the big deal with some requests taking a second or two?
Suicide attack - Wikipedia

A suicide attack is any violent attack, usually involving an explosion, in which attackers accept their own death as a direct result of the attacking method used. Suicide attacks have occurred throughout history, often as part of a military campaign (as with the Japanese kamikaze pilots of 1944-1945 during World War II), and more recently as part of terrorist campaigns (such as the September 11 attacks in 2001). ***** For archiving purpose only *****
data process for early warning scoring system v1

This is a protocol for data retrival, data cleaning, data integration and analysis for construction of early warning scoring system.
Publishers announce name-change policies

The introduction of trans-inclusive journal policies has been broadly welcomed, but some say that more needs to be done, as Juanita Bawagan reports
Introduction to Programming

Programming is a skill that is best learned through hands-on experience. This chapter concisely introduces the concepts that a new programmer will need to create their first programs in Python and includes 34 exercises that will let them put those concepts into practice. The particular concepts that this chapter introduces include: Learning about these concepts and writing programs that use them effectively is an important step toward the creation of larger programs that solve more interesting problems.
Author Index Volume 19 (2020)

International Journal of Computational Intelligence and ApplicationsVol. 19, No. 04, 2099001 (2020) Free AccessAuthor Index Volume 19 (2020)https://doi.org/10.1142/S1469026820990011Cited by:0 Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out these titles in artificial intelligence! FiguresReferencesRelatedDetails Recommended Vol. 19, No. 04 Metrics History PDF download
Supplemental Material: The Chief Joseph dike swarm of the Columbia River flood basalts, and the legacy data set of William H. Taubeneck

Supplemental ArcGIS Shapefiles. Shapefiles for mapped dikes used in maps throughout paper.&lt;br&gt;
Planning for usability testing

This chapter provides the essential steps in planning for usability testing. It starts with the planning meeting, in which you establish test goals (including accessibility goals), determine how to test the product, agree on user subgroups, establish participant incentives, draft the screener, create scenarios, determine quantitative and qualitative feedback methods, and set dates for testing. The chapter also covers methods for testing faster for Agile development. The test plan that follows can be informal or formal.
Real-time Motion Tracking Enhancement via Data-Fusion based Particle Filter

Motion tracking is a well-defined yet application-specific problem of computer vision field, mostly entailing real-time constraints. Methods addressing such problems are expected also to ensure achievements such as high accuracy and robustness. A probabilistic estimation-based approach is proposed in this paper, in order to enhance the real-time motion tracking process of an RGB-Depth device, in terms of accuracy. A novel method is presented for tracking handpalm of a moving human subject to this end, under a sequence of assumptions such as indoor environment, single object, smooth movement and stable illumination. Tracking accuracy is improved within a particle filter framework by fusing device output with the newly extracted information from RGB and depth images. Experimental results are shared revealing the advantages of the proposed method over the built-in device algorithms. The results demonstrate that the proposed method produces smaller RMSE values both for single implementations and multiexecution trials without violating real-time constraints.
Automatic Attendance System with Face Recognition using Machine Learning

Object and Face detection and recognition is one of the mostly researched area in computer vision. This particular field of work is widely used in mobile phones and laptops for unlocking the system by the user. Recently this field gained importance in the automatic attendance system in schools, colleges and institution. The institutions are moving from biometric based attendance to face recognition based attendance system. In this project work, I have used machine learning techniques to create a complete system of automatic attendance system which can be implemented very easily. There are majorly four steps involved in the system. Firstly, the datasets can be created instantly using webcam and in the second stage the created data set have to be trained and the trainer algorithm will create the trainer.yml document. As a next step, the face recognition algorithm have to be performed in order to recognize the faces of various students and teacher. In the final step, the attendance of the students will be updated in the CSV file or Excel. The proposed work is very much suited for the real time applications like automatic attendance system. HaarCascade is very effective technique to produce much simple and accurate system.
A Research on Cloud Computing Challenges in Virtualization and Cloud Environment

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Visuo-tactile Congruency influences the Body Schema during Full Body Ownership Illusion

Previous research showed that full body ownership illusions in virtual reality(VR) can be robustly induced by providing congruent visual stimulation, andthat congruent tactile experiences provide a dispensable extension to an alreadyestablished phenomenon. Here we show that visuo-tactile congruency indeed doesnot add to already high measures for body ownership on explicit measures, butdoes modulate movement behavior when walking in the laboratory. Specifically,participants who took ownership over a more corpulent virtual body with intactvisuo-tactile congruency increased safety distances towards the laboratory’s wallscompared to participants who experienced the same illusion with deterioratedvisuo-tactile congruency. This effect is in line with the body schema morereadily adapting to a more corpulent body after receiving congruent tactileinformation. We conclude that the action-oriented, unconscious body schemarelies more heavily on tactile information compared to more explicit aspects ofbody ownership.
Effects of Inclusive Campus Climate (ICC) program on Sense of Belonging and Mental Wellness for Students of Color in Predominantly White Institutions (PWIs)

Sense of belonging is the hypothesized precursor of the vulnerability factor for depression, whereas a higher sense of belonging promotes better psychological and social. Also, a sense of belonging for ethnic minorities is known to be negatively associated with their depressive symptoms and positively related to perceived self-efficacy, academic competence, and social acceptance. The objective of the proposed study is to evaluate the impact of the Inclusive Campus Climate (ICC) program on a sense of belonging and mental health of students of color in Predominantly White Institutions (PWI). Our central hypothesis is that an inclusive campus climate improves a sense of belonging and mental wellness for students of color in a PWI. The intervention ICC program (12-week) will be provided with the Control and Treatment group, and a pre/post/follow-up test will be conducted.; For the treatment group, Academic Support and Counseling Services will be given for 12 weeks. 420 undergraduate freshmen students will participate, and the effect size is assumed as.25. For the statistical analysis, a one-way repeated measures ANOVA test will be used separately on the experimental group and the control group. We can expect that 1) the ICC program positively affects the sense of belonging and mental wellness, and 2) treatment groups show a significant difference in both sense of belonging and mental health conditions.
Reliability Management: Setting-up Cloud Server in Higher Education

This article shows the reliability plan and reliability manual for setting up two cloud servers for Higher Education. These two servers are used for Primary Operation Services and Standby Operation Services. This reliability plan shows what activities can be performed while setting up servers and at what reliable timings. It also shows the tools and techniques that will be used for designing, analysis and testing services during project development. It has the different management strategies for suppliers and specific standards and policies for setting up a server and for quality assurance and product maintainability. This plan and manual shows how to provide a full backup system of servers and a recovery unit in case of emergencies. This also shows how to setup a security control system, supported by firewalls with adequate warranty
Regulatory Compliance

A threat actor does not care about the law, compliance, regulations, and security best practices. In fact, they are hopeful that your organization is lax on many of these specifications and frameworks to leverage them for malicious intent. While regulatory compliance is designed to provide legally binding guidelines for industries and governments, they do not provide the necessary means to stay secure. Compliance does not equal security. Regulatory compliance measures are enforced guidance toward good cybersecurity hygiene, but implementing them without good processes, people, training, and diligence will leave you susceptible to a breach. Therefore, when reviewing leading regulatory compliance initiatives, consider the following:
Blockchain Based Security Solution for Medical Data

Existing health organizations maintain their patients and medical data using centralised management approach. This system is more vulnerable to data breaches which leads to security threats and patients don’t have control over their data. According to German cybersecurity company Greenbone Networks, the patient records, 121 millions of medical images and scans from India has been leaked which includes details such as the name of the patient, their date of birth, the national ID, name of the medical institution, their medical history, physician names and other details. According to poneman cost of data breach study, the cost of the data breach for healthcare organizations approximated to be $380 per record. According to 2016 Breach Barometer Report, 27,314,647 patient records were affected. The patient don’t have control over their data and data can be misused. Hyperledger fabric framework based Blockchain technology is most desirable solution to prevent data manipulation and data theft .It also facilitates patient to have control over their data. Hyperledger fabric is a permissioned distributed ledger framework and provide high degrees of confidentiality, flexibility, and scalability.
Introduction

Graphs of quantitative data are analytical tools that facilitate visual thinking. In many disciplines, the use of graphs was preceded by tables summarizing quantitative data. Graphs known by North American archaeologists as “battleship curves” are temporal frequency distributions of relative abundances of specimens in each of several artifact types. They are unimodal frequency distributions known as spindle graphs. In the early 1950s, it was suggested that the idea of spindle graphs was borrowed by archaeologists from paleontology. Archaeologists occasionally used bar graphs and line graphs to diagram change in artifact inventories in the early twentieth century. The questions addressed in this volume are: (i) did North American archaeologists borrow the idea of spindle graphs from paleontology, and (ii) what was the frequency of use by North American archaeologists of each of the various graph types to diagram culture change during the early and middle twentieth century?
Extraction and Analyze Text in Twitter using Naive Bayes Technique.

there are several topics and areas that are at an advanced stage of interest and research around the world because of their importance and usefulness to humanity, including the sentiment analysis. By studding of sentiment analysis (SA), one can learn about the mysterious things and different feelings of others. The purpose of all of this is to know the pros and cons about a product or anything else and correct the negatives in future that are found. In our research, we have benefited from social media sites, especially Twitter, in collecting data about the iPhone 11 product to see how satisfied customers are about this product. We collected a lot of different opinions using API and then transferred them to an information bank. In our research we used the famous Naive Bayes (NB) algorithm and had an active role in classifying reviews and sorting them and knowing the pros and cons, where we got good results compared to previous works which are as follows: precision 80, recall 83, f1 score 81, accuracy 80.25.