Reviewerly/exHarmony huggingface dataset:
Structuring Data

So far, you’ve learned how to declare and define variables that can hold various types of data, including integers, floating-point values, and characters. You also have the means to create arrays of any of these types and arrays of pointers to memory locations containing data of the types available to you. Although these have proved very useful, there are many applications in which you need even more flexibility.
Extraction of Farey Sequence from Stern-Brocot Sequence

In this paper we define and discuss the properties of Farey Sequence and Stern - Brocot Tree and the principal aim of this paper is to extract Farey sequence from Stern - Brocot Tree .
Image Recognition Method of Dance Simulation Training in the Information Technology Era

Today's rapid development of computer information technology has driven the progress of its related technologies and industries. In order to interact with computers more conveniently and make computers more intelligent and able to better serve humans, people have gradually increased their attention to human-computer interaction. Among them, as film and television production, somatosensory games, rehabilitation and medical treatment, physical education, stage performances, etc., have attracted more and more attention, a large number of researchers have attracted a large number of researchers to study their core content action recognition technology. The purpose of this article is to study the image recognition method of dance simulation training in the era of information technology. According to the actual application requirements of the subject, this paper elaborated on the process and method of image recognition, designed a complete image recognition system, and completed the experimental simulation of each part. Aiming at the characteristics of dance movements, this paper studies an effective feature extraction method. First, each dance action video in the data set is equally divided, and the segmented videos are respectively accumulated edge feature operations, and the edge features in all video images in each segment are accumulated into an image, and the directional gradient histogram is extracted from it. Realize the effective extraction of the key features contained in the motion capture data. Then, the extracted key frames and the dynamic time warping algorithm are used to realize the action recognition of the motion capture data, and the simulation experiment is carried out to verify the effectiveness of the algorithm. The current research methods of action recognition are classified and organized. The experimental research results show that the recognition rates obtained from different methods show that the action recognition rates after using the upper body or the lower body to propose features are relatively close, both are less than 1%. The recognition rate of the whole body area of the human body is lower than that of the human body. The recognition rate of the combination of regions, taking the recognition rate of Flow feature and the combination of SIFI and optical flow features for example, the recognition rate of the whole body region is 54.7%, and the recognition rate of each region of the human body is 92.4%, so separate training can improve the accuracy of recognition.
Study of Factors Affecting Perceptual Assimilation between English and Korean Vowels

The purpose of this study was to explore the assimilation of English and Korean vowels depending on the degree of word familiarity and adjacent consonantal context. 30 Korean-speaking adults participated in the assimilation experiment of English vowels in bVt and bVb context into Korean and the evaluation of the word familiarity. The R statistics was used for data analysis. Statistical analysis showed that the assimilation pattern of /e/, /ɛ/, /ʌ/, /ɑ/ and /ɔ/ into Korean had meaningful significance. The findings of data analysis showed that 1) the assimilation patterns of English high vowel /e/ revealed the influence of place of articulation of the following consonants, 2) /ɛ/, /ʌ/, /ɑ/ and /ɔ/ presented in more familiar words had a tendency of being assimilated into one specific Korean vowel, and 3) /ɑ/ and /ɔ/ were considered to be influenced not only by the word familiarity but also by the merger of /ɑ/ and /ɔ/ in American English. Lastly, instructional implications for the classroom and suggestions for further study were also discussed.
Instructional Programs

Higher Education AbstractsVolume 55, Issue 4 p. 374-380 INSTRUCTIONAL PROGRAMS Instructional Programs First published: 22 November 2020 https://doi.org/10.1111/hea.29_12158Read 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 Volume55, Issue4October 2020Pages 374-380 RelatedInformation
Packaged Functions

R has over 10,000 packages, most of which contain functions. Functions are at the heart of R and provide R with R's great versatility. Functions are R objects, and they are of both mode and class function. Packaged functions are functions that have been created as a part of an R package. On the computer, packages are stored in libraries and are installed to be in a library.
Optimization in Edge Detection using Ant Colony Optimization

Image processing is now emerged in different fields like medical, security and surveillance, remote sensing &amp; satellite applications and much more. Image processing includes different operations such as feature extraction, object detection and recognition, X-ray scanning etc. All such operations required edge detection to get better quality image. Edge detection is performed to distinguish different objects in an image by finding the boundaries or edges between them. Edges are used to isolate particular objects from their background as well as to recognize or classify objects. In this paper, comparison of various edge detection techniques such as Sobel, Prewitt, Roberts, Canny, LoG and Ant Colony Optimization Algorithm is given. Ant colony Optimization(ACO) use parallelism which reduces the computation time as size of an image increases.
Evaluating Phishing Website Detection On Client Side

In a web based application phishing attack plays a vital role. To find a solution for this problem, lots of work is carried out over a year, but still now no solution is find out for this problem. The existing solution, suffers from a few drawbacks such as to count potential to compromise consumer privacy. That is the reason for difficulty of detecting phishing attacks in the websites. In addition to this problem, the website content is changed dynamically, and confidence depends on the features of specific provisions of data. To solve these issues, a new direction for the detection of phishing attacks in web-pages is approached here. The proposed system, inherent the phishing limits starting from the constraints they faced while built a web-page. subsequently the implementation of our approach includes, off-the-hook- focused on extraordinary precision and brand-independence and semantic individuality. Here the off-the-hook is constructed from the fully-client-side browser add-on, which describes the user privacy. Additionally, off-the-hook focused on the target website and the phishing webpage is attempting to imitate and comprises this objective with warning. The proposed method is evaluated our genetic algorithm in below user studies.
A Novel Particle Swarm Optimization with Genetic Operator and Its Application to TSP

To solve some problems of particle swarm optimization, such as the premature convergence and falling into a sub-optimal solution easily, we introduce the probability initialization strategy and genetic operator into the particle swarm optimization algorithm. Based on the hybrid strategies, we propose a improved hybrid particle swarm optimization, namely IHPSO, for solving the traveling salesman problem. In the IHPSO algorithm, the probability strategy is utilized into population initialization. It can save much more computing resources during the iteration procedure of the algorithm. Furthermore, genetic operators, including two kinds of crossover operator and a directional mutation operator, are used for improving the algorithm’s convergence accuracy and population diversity. At last, the proposed method is benchmarked on 9 benchmark problems in TSPLIB and the results are compared with 4 competitors. From the results, it is observed that the proposed approach significantly outperforms others on most the 9 datasets.
Cybersecurity Risk

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays intuitive relations with quantitative measures of cybersecurity risk disclosure language, exhibits a positive trend over time, is more prevalent among industries relying more on information technology systems, correlates with several characteristics linked to firms hit by cyber attacks and, importantly, predicts future cyber attacks. Stocks with high exposure to cybersecurity risk exhibit high expected returns on average, but they perform poorly in periods of increasing attention to cybersecurity risk.
Ray Theory: Amplitude and Phase

This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are flagged so that instructors or students pressed for time can skip them.
COMPARISON OF SOFTWARE METRICS FOR QUALITY ESTIMATION OF THE SOFTWARE PRODUCTS

There is a well known principle, that you can manage only what you can measure – therefore adequate measurement and estimation of different elements in any engineering area is a very important development factor, and software engineering is not an exception. Software metrics represent numeric values of software characteristics and are used for analysis of different aspects of the product in order to predict possible problems. Software metrics can be applied to any stage of the software life cycle. For instance, on a stage of requirement analysis and the problem formulation, these metrics help to estimate the required amount of work and, respectively, the amount of financial and work resources. In addition, the metrics can be used directly in estimation of the program code complexity to assess it’s performance, effectiveness and the ability to modify it if needed. Software metrics are an important part of the whole software quality management process as they can be easily automated and applied in order to achieve some valuable technical characteristics. Moreover, they can be combined with another quality management tools and are a beneficial addition to any software product development model. In general, measuring the attributes of software during any phase of development gives a number of beneficial results to the developers as it helps to use the time, finances and effort effectively. This is achieved because of early problems identification, estimation and prevention and because of that the size, cost, quality and simplicity of the maintenance of the product is always under control. This article describes the results of research on different software metrics types and the actual representatives of these types. It assesses the usage area and the convenience of it’s usage on evaluating the quality of both a finished product and a product in the development stage.
COMMUNICATION SKILLS OF A TEACHER

Views on communication in professional activities. The need to exchange information in various spheres of human life, to obtain new results as a result of collective discussion of any problem has led to the emergence of such forms of communication as conferences, seminars, meetings. At present, no serious work is possible without deciding at different levels intermediate results, conclusions, options, solutions, listening to opponents and making appropriate decisions. During this period, the first psychological views appeared in the East.
Penerapan Algoritma FP-Growth dalam Penentuan Pola Pembelian Konsumen pada Kain Tenun Medali Mas

In Kediri City there is a very popular woven fabric shop called Medali Mas. It has high sales transaction activity resulting in a large stack of data purchases. This data stack is examined as an information pattern for consumer purchases using data mining association rule techniques and FP-Growth algorithms. The FP-Growth algorithm uses the concept of development tree in searching for frequent item sets. The data used are, 26 types of woven fabric items and 200 transaction data provided that 2 or 3 types of items in 1 transaction. Determined minimum support value of 20 percent and minimum confidence value of 10 percent. It also used Chi-Square testing to find out how much correlation between variables from the results of frequent itemsets that have been calculated. The final result of the consumer purchasing pattern is obtained (m to no) when buying Semi sutra Lusi = grey, Pakan = Blue Flowers, then the consumer might buy Sarong Lusi = black, Pakan= green Lurik and Cotton Lusi= yellow, Pakan = Tosca Bamboo with the results of the correlation between variables at 19.1397274913.
Linguistic Freedom and Hate Speech: A Critical Review of Nigerian Politicians’ Speeches and Their Implications

This paper deals with the linguistic freedom of the people of Nigeria as entrenched in the constitution of the Federal Republic of Nigeria and the misuse of that freedom through hate-speech by Nigerian politicians against their opponents in the public for and even in the National Dailies.This paper condemns such actions in its entirety exposing the dangers involved and the implications both at present and in future.The paper goes further to give a better alternative to hate-speech, which is persuasion; this is believed to be more convincing than the former.The theories of persuasion were explained and elaborated.These theories are social judgment theory and the Relationship based persuasion theory.It concludes by saying that whatever the situation, it is when Nigerians see themselves as one, respect one another and work together, that Nigeria can stand tall in the comity of nations of the world.Based on the havoc and the hatred that hate-speech causes, the paper recommends that government should do everything possible eradicating this societal cankerworm or reducing it to the barest minimum, by taking drastic actions against perpetrators, because, to build Nigeria and make it one continually, is a task that must be done by all.
A new standard method of subjective assessment of barely visible image artifacts and a new public database

Journal of the Society for Information DisplayVolume 28, Issue 8 p. 713-713 ERRATUMFree Access A new standard method of subjective assessment of barely visible image artifacts and a new public database This article corrects the following: A new standard method of subjective assessment of barely visible image artifacts and a new public database David M. Hoffman, Dale Stolitzka, Volume 22Issue 12Journal of the Society for Information Display pages: 631-643 First Published online: June 2, 2015 First published: 14 July 2020 https://doi.org/10.1002/jsid.949AboutSectionsPDF 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 onFacebookTwitterLinked InRedditWechat In Hoffman and Stolitzka,1 section 5.1, a link to a VESA website that hosted the database has been deactivated. To give this much-needed area a common dataset, we in conjunction with VESA are releasing our full subjective dataset and image content to the public for use in the development of new objective metrics for threshold image impairment. The images and subjective data can be downloaded from http://www.vesa.org/vesa-standards/free-standards/. This specification contains the full procedure used in this study, a self-test image set and self-test certification data. The database files will be posted in the Supporting Information section and the text in section 5.1 should have read: To give this much-needed area a common dataset, we in conjunction with VESA are releasing our full subjective dataset and image content to the public for use in the development of new objective metrics for threshold image impairment. The images and subjective data can be downloaded from the Supporting Information section. This specification contains the full procedure used in this study, a self-test image set and self-test certification data. Supporting Information Filename Description jsid949-sup-0001-suppl_data.zipapplication/x-zip-compressed, 28.9 MB Data S1. Display Stream Compression (DSC) Test Results_2014. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. REFERENCE 1Hoffman DM, Stolitzka D. A new standard method of subjective assessment of barely visible image artifacts and a new public database. Jnl Soc Info Display. 2015; 22: 631– 643. https://doi.org/10.1002/jsid.297Wiley Online LibraryWeb of Science®Google Scholar Volume28, Issue8August 2020Pages 713-713 ReferencesRelatedInformation
Cloud Assisted Event Data Recorder for Four Wheelers

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.
Compiler Basic Designing and Construction

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.
Examining Workflows and Redefining Roles: Auburn University and The College of New Jersey

SUMMARY. Paula Sullenger, Serials Acquisitions Librarian at Auburn University and Jia Mi, Electronic Resources/Serials Librarian at the College of New Jersey discussed electronic resource workflow models at their respective institutions. Services are available from vendors that aid in streamlining workflow for handling print resources and electronic journals. In addition, in-house statistics are used to determine serials tasks to eliminate and job functions to realign. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. Email address: &lt;docdelivery@haworthpress.com &gt; Website: &lt; https://www.HaworthPress.com &gt;]
Objects

This chapter introduces object-oriented programming and explains how to make use of it in Python. It covers the basic syntax of defining and using objects. It also introduces the object inheritance system and closes with an extended example of object-oriented syllable structure.
Update of laws in library and information science it's a time to reinvent and reposition and stay relevant with cloud computing: Descriptive study

Users'interest for delivery of library assets is relied upon to develop powerfully, prompting appeal for data and asses and utility (JCT). The assets accessible from the library and data focus may not be adequate to satisfy the needs of library clients. The answer for your library and data focus should utilize Cloud Computing. The objective off distributed computing is to make cost investment funds on machine, equipment, programming, and assets improved among library clients where various clients need various things. This archive is expected to take on distributed computing in the library and data focus, which will be a new and exceptionally helpful innovation to utilize library assets as far as the major laws offlibrary science.
Uwb Based Imaging Technique for Breast Tumour Detection by using Erar, Das and Dmas Algorithms

Breast tumor is high hazard infection among ladies which regularly causes perilous dread. So as to perceive the tumor tainted breast picture UWB imaging method is used. In this manner used breast picture is preprocessed for eliminating the noise and unnecessary information by stable wiener channel and Recursive least square channel. From this time preprocessed picture is given to FDTD for examining the breast picture for tumor acknowledgment. Accordingly got picture given to ERAR, DAS and DMAS algorithms for removal of artifact from tumor speculated picture. In this manner acquired picture is made auto correlated for brightening up the tumor contaminated territories. At that point the breast pictures are segmented by edge-based tumor segmentation and the outcomes are characterized with DAS and DMAS algorithms for better accuracy and sensitivity of picture.