Reviewerly/exHarmony huggingface dataset:
Quantitative Analysis of Terrorist Attack Data Based on Weighted Clustering

Based on the terrorist attacks of 1998-2017 in GTD, a g lobal terrorism database, this paper makes a deep analysis of the data related to terrorist attacks.By preprocessing and quantifying the data, it mainly uses the theoretical model of factor analysis.Classifying terrorist attacks according to many factors of harmfulness, then analyzing the data between multip le terrorist attacks, using the informat ion of known perpetrators, according to the hazardous screening of suspects, using the characteristics of terrorist attacks, The correlation analysis model is used to determine the unknown perpetrators in terrorist attacks, and the similarity measurement model is used to determine the suspect degree of the perpetrators.The size of The details are as follows:Through pre-analysis of the data, we can find out the main determinants of the harmfu lness of terrorist attacks, including casualties, economic losses, timing, location, and so on.Through the analysis of the degree of in fluence of the factors, A model of clustering weight hazard classification ba sed on factor analysis theory is established.Factor analysis weight method is used to solve the characteristic weight vector in data analysis and processing.Firstly, clustering is used to classify the terrorist attack events with similar harmfulness assessment, then the overall harmfu lness of in-class events is quantitatively evaluated, and the harm of terrorist attacks is divided fro m lo w to high into one to five g rades.The rating of future terrorist attacks is based on the distance between the event characteristics and the endoplasmic center.The new event is classified to the nearest centroid class, and the model automatically updates the centroid.According to the hierarchical model, the ten most harmful terrorist attacks in the past twenty years can be screened.In a sense, it can be very close to the comprehensive subjective division of many people.The theory of cosine similarity is introduced on the basis of the previous experiment, and the correlation model based on mult idimensional vector cosine similarity is established.First of all, by using the informat ion of the known perpetrators, we exclude the data fro m which the perpetrators have been arrested, screen out terrorist organizations or indiv iduals according to the magnitude of harmfulness, fu rther analyze the characteristics of terrorist organizations that cause terrorist attacks, and generate feature vectors.At the same time, it analyzes the characteristics of the attack events that no organization or individual claims to be responsible for, and generates the feature vectors.Finally, the mu lti-d imensional vector cosine similarity algorith m is used to solve the suspect degree of the event suspect organization.Screen out the most likely perpetrators of each incident.
Business Continuity via Information Security and People Power

This chapter focuses on the role of a well-considered business continuity plan in preventing the disruption of information systems. Business logic failed to anticipate some special conditions, and as a result, well-meaning employees are forced to make educated guesses to attempt to satisfy a customer's needs. The assumptions that one employee made in handing a special situation may not be documented well enough for other employees, further along the information processing chain, to notice where errors were made that need to be corrected. Bad data, or not quite complete data, gets accepted as valid as a result. Depending on the nature of the organization, the business disruption cause significant, resulting in lost sales opportunities, delays in handling emergency services dispatch center calls, or even a safety-critical shutdown of an assembly line or processing pipeline if the server isn't there to provide support when needed. That's two of our five CIANA factors, maybe more; we'd want to elevate the status of such an event, on a business-critical system, by calling it an incident and track it in our incident logging, reporting, and analysis systems.
Random sampling and probabilistic consensus for identifying outliers in road surface datasets

Road surface measurement plays a crucial role in the modelling and simulation of vehicles as the road surface is one of the primary means of excitation. A prevalent technique for measuring road surfaces utilises scanning lasers whose measurements produce a non-uniform, 3-dimensional point cloud representation, in which statistical outliers typically manifest. In this work, a novel, axiomatic, probabilistic method for simultaneously identifying outliers and estimating the road surface height at uniformly spaced grid nodes is developed. The method expands on the concepts used in the seminal model fitting algorithm, random sampling and consensus (RANSAC), to address a situation in which multiple underlying models may exist in a neighbourhood of the data. The proposed method, called random sampling and probabilistic consensus (RSPC), is evaluated on a 2-dimensional simulated road surface dataset containing 60% outliers in order to demonstrate its effectiveness at identifying outliers and simultaneously estimating grid node heights.
The Model Construction of Computer Network Technology in Vocational Education under the Rural Revitalization Strategy

With the continuous development and progress of society and the active implementation of the Rural Revitalization Strategy, modern big data technology is also constantly improving and updating. With the support of computer network analysis technology, vocational schools can develop professional education management analysis system, use computer technology to establish a data analysis model in line with vocational education, and help vocational schools better carry out targeted teaching and management, data processing and other four application stages for students through the data analysis model, Further reconstruct the function of vocational education management system. In vocational education, computer algorithm refers to the application of relevant mathematical knowledge to solve practical problems, which requires continuous mathematical analysis in complex systems. Before and after the operation and practice of system data, the conclusion must be simplified into abstract processing. First, the practical problems must be transformed into relevant mathematical problems, and then the systematic teaching model is constructed. Through the design and development of intelligent campus system, we can help schools and teachers deal with student data and information quickly and effectively, and improve work efficiency. At the same time, the intelligent campus data management platform supported by large-scale computer technology continues to create new functions to promote the further development of vocational education management.
Panel 1 Title: Internet Censorship and its Impact on Spread of Misinformation

The ability to "seek, receive and impart information and ideas through any media and regardless of frontiers" is an explicit part of Article 19, right to freedom of opinion and expression, in the Universal Declaration of Human Rights (UN).Yet, in practice, there is a serious tension between free speech, and control of bad information.For instance, it would hardly be responsible behavior for a government to allow untested food, homes, or medicine to be advertised and sold; but quality control of goods and services itself requires some control over what information can be published (e.g.prevention of false advertising).This panel discusses the interaction between the twin threats of censorship and misinformation, and specifically, how they affect availability of information online.
Ray Theory: Travel Times

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.
AACR3 Is Coming-What Is It?

SUMMARY. The Joint Steering Committee for Revision of AngloAmerican Cataloging Rules (JSC) has been working on creating a new standard for cataloging. In this session, Paul Weiss provided a context for this new standard and explained the work that has been done by the JSC. The presentation covered the impetus behind the new standard, the process for development of a first draft, reaction to that draft, and the current direction of the JSC’s work. [Article copies available for a fee from The Haworth Document Delivery Sendee: 1-800-HAWORTH. E-mail address: &lt;docdeliveiy@haworthpress.com &gt; Website: &lt; https://www.HaworthPress.com &gt;]
FLAnnals

Foreign Language AnnalsVolume 53, Issue 3 p. 397-398 PRESIDENT'S MESSAGE FLAnnals First published: 16 September 2020 https://doi.org/10.1111/flan.12486Read 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. Volume53, Issue3Fall 2020Pages 397-398 RelatedInformation
Popular Culture: the Influence and Implications on the Malay Traditional Clothing in Malaysia

Traditional Malay clothing refers to the Malay traditional attires, especially for Baju Melayu and Baju Kurung. It symbolises a significant identity of Malay society until now. With the advancement on technology in present has led to the inclusion of popular culture, especially in the fashion industry that has become a worldwide phenomenon. There are various styles and trends from external culture that have become a source of inspiration for fashion style in Malaysia today. However, with the openness to accept the new fashion styles and applying it to the traditional Malay costumes, there are some positive and negative effects towards Malay clothes. This paper also explains some of the problems that may occur in traditional Malay costumes in the future time. This research aims to contain the extinction of the proper Malay dressing by following culture sides and as a guided by the principle of Islamic religion. It is closely related to the question of value, environment, behavior, needs and technology in social institutions of society now in fashion. Researchers use qualitative and descriptive research approaches through the analysis of the Malay dressing culture from traditional and modern design clothing in Malaysia based on selected research theories. This research will look into the influence and impact on the identity of Malay traditional clothing in Malaysia's with the existence of a mix external culture in the latest apparel design in relation to cultural and socio-cultural.
Integrated Risk Management and Mitigation

This chapter focuses on the importance of integrated information risk management defense strategy. The key to risk and risk management is simple: it's about making decisions in reliable ways. Reliable decision making is as much about long-range planning as it is about incident response. A risk management framework is a management tool kit that you can use to bring these kinds of risks (and others) under control. One such framework, published by the U.S. Department of Commerce, National Institute of Standards and Technology, provides what it calls “a systems life cycle approach for security and policy.” Everything people and human organizations do is a series of steps, and each step is a series of sub steps; our lives and our businesses run on layers upon layers of tasks and subtasks. Risk management is the responsibility of the organization's leaders and stakeholders; they have the primary burdens of due care (to ensure that they're doing business correctly and effectively) and of due diligence (to continuously monitor and assess how well their business is working and whether it could work better).
Verification of Signature along with Automated Cheque System

Signature is an unmistakable part for recognizing a person's verification. Indeed, even today an expanding number of exchanges, particularly identified with business and monetary are being approved by means of signs. Subsequently the need have techniques for programmed signature check must be created if legitimacy is to be confirmed and ensured effectively all the time. Ways to deal with signature check fall into two classes as indicated by the securing of the information: Off-line and Electronic acquisition of details. A solid signature confirmation framework is significant piece of law implementation, security control and much business process. It very well may be utilized in numerous applications like cheques, declarations, contracts and so on. The coordinated signature confirmation framework joins information base administration, commotion evacuation and pre-preparing, highlight extraction, learning and check modules. The coordinating model is done and dynamic depends on edge based method that gives close to applications. The framework shows promising outcome. It is planned and executed for robotized confirmation of signature and cheque preparing framework for simple check and investigation of information. Diverse limit esteems are utilized for coordinating relying upon testing and preparing highlights vectors, so we can support the general execution of the framework. It is used for sans cheque and to check whether the cheque is cleared or bounced. For that it varies account number from database and then verifies signature from the master and put the output of matching in percentage. After that amount has been deposited or withdrawn from the respective account
Research on Text Emotion Analysis Method Based on Attention Mechanism and BGRU Network

The rapid development of the Internet makes social software such as e-commerce, major portals and other social software and new media emerge in endlessly, which has gradually become an important platform for people to exchange information and obtain information.Web text generally has the user's rich emotion, needs to carry on the data mining to these rich emotion, therefore this proposed to carry on the text emotion analysis research based on the attention mechanism and the double-door circular neural network model, is based on the two-way GRU emotion analysis algorithm model, unifies the emotion analysis character to carry on the algorithm optimization improvement, the improved algorithm model can enhance the Web text emotion analysis effect significantly.
The Technologies of Information Security

PART III The Technologies of Information Security Mike Wills, Mike WillsSearch for more papers by this author Book Author(s):Mike Wills, Mike WillsSearch for more papers by this author First published: 29 April 2019 https://doi.org/10.1002/9781119547921.part3 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. (ISC)2® SSCP® Systems Security Certified Practitioner Official Study Guide, Second Edition RelatedInformation
Classification of Child Items in a Gold Tree using Support Vector Machine Classifier

Sorting of images has been a challenge in Machine Learning Algorithms over the years. Various algorithms have been proposed to sort an image but none of them are able to sort the image clearly. The drawback of the existing systems is that the sorted image is not clearly identified. So, to overcome this drawback we have proposed a novel approach to sort the children of a tree and match them with the existing designs. The images will be sorted on the basis of the class of the image. The images are taken from the image and manual binning of those images are done. Then the images are trained and tested. GLCM feature is extracted from the trained and tested images which are later on fed to the SVM classifier. The classification of image is then done with the help of SVM classifier. Around 7000 images are trained on SVM and used for classification. More than 300 different classes have been created in the database for comparison. Real-time images of child items are captured and fed to the SVM for classifying. The main application of this image is the use in distinguishing the designs in the ornaments. The various parts of the ornaments can be differentiated clearly. Thus, the proposed method is precise as compared to the existing methods.
Uncomplexity

Instead of using operator complexity I’m going to work with state complexity for the rest of this lecture. State complexity is the number of gates that it takes to go from a simple unentangled state of K qubits to the state in question.
Search Variability and Interlibrary Services

The urgency of the problem is associated with an increase in the number of electronic resources in many information and library institutions, the need to search for information from any sources, including external ones, the provision of documents from a group of funds (corporations), the presence of electronic catalogs and search systems. Finding information from catalogs and other search engines has always preceded the execution of orders in the interlibrary service. Borrowing and using documents from different collections (provision of interlibrary services) is possible only if there is up-to-date metadata of modern information retrieval systems (ISS). The purpose of the article is to summarize the results of studying several types of search engines. At the same time, attention was drawn to new scientific publications on the topic under study. An analysis of domestic and foreign materials on the options for searching for information is presented, which is very necessary for users, including those who are remote in the provision of interlibrary services.
Numbers of Patients Transposed in Text

their best to know and implement the main recommendations in the guidelines.An ongoing trial, A Clinical Trial of Statin Therapy for Reducing Events in the Elderly (STAREE), is studying the effects of 40 mg of atorvastatin daily for primary prevention in 18 000 patients aged 70 years or older.Treatment with a statin is being compared with placebo on prolonging overall survival or disability-free survival. 4 Hopefully this trial will provide information regarding the effect of statins on older adults.Until such evidence becomes available, the clearest and most accurate way to phrase a recommendation for older adults might have been, "In adults 75 years of age and older, the effectiveness of initiating a moderate-intensity statin for primary prevention is not well established."
Relationship between magmatic, metamorphic and hydrothermal processes within the Baikal-Muya terrane (Eastern Siberia): constraints from a high-precision geochronological study of the Kedrovsky granitoid massif

High-precision dating of granitoids is significant for identification the ages of the main stages of crust formation in various blocks of the continental crust. In this work, we dating the Kedrovskiy diorite-granodiorite massif localized within the South Muya block of the Baikal-Muya accretion terrane (BMT) (Eastern Siberia) among the Neoproterozoic gabbroids of the Kedrovskiy complex and metasedimentary rocks of the Kedrovskaya Formation. The results of U-Pb (ID TIMS) and 39Ar-40Ar geochronological studies of the Kedrovskiy massif are discussed. The formation of the massif (781 3 Ma) occurred at an early stage formation of the Proterozoic continental crust of BMT during accretion of Baikalids with the Siberian craton. A later thermal event (626 11 Ma) of the Ediacaran stage evolution BMT is reflected in the formation of of biotite-quartz-feldspar veins that cut through the granitoids of the Kedrovka massif. The obtained geochronological data show that the gold mineralization of the Kedrovskiy deposit (273 4 Ma) was not generated by the Kedrovskiy massif granitoids.
Ethics in Cloud Computing: Implications for India

Cloud Computing (CC) has drawn the attention in global business level. It is another age of computing systems, progressively creating a promising answer to computing complexity and increasing size of data. Although the evolution has not reached the maturity level but still there is adequate research about this topic. The study is proposed to identify the factors, which influences cloud computing adoption (CCA) in India through ethical context. Research was conducted using methodology of quantitative technique, which was based on study of 149 respondents from different industries in India. A research model was proposed which consisted of 6 hypothesis and then tested through multiple regression methods and factor analysis. The findings of the study shows that reliance on technology, proscriptive pressure and control are significant contributors and functional creep, compliance and educational pressure were insignificant contributors. It classifies probable advantages and probable ethical or moral issues for would be clients, particularly in the field of business.
A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.
Conclusion

This book pursued a twofold objective: Introducing the fundamental concepts of visual semiotics and showing current advances all the while highlighting the boundaries which will need to be exceeded in the future in order to perfect the analysis of images.
Memento

When we looked at the Command design pattern, we noted that recording a list of every single change theoretically allows you to roll back the system to any point in time – after all, you’ve kept a record of all the modifications.
Special issue on “Mind and Cognition in the Future of Decision Support Systems”

International Transactions in Operational ResearchVolume 27, Issue 4 p. 2255-2256 Call for Papers Special issue on “Mind and Cognition in the Future of Decision Support Systems” First published: 14 February 2020 https://doi.org/10.1111/itor.12773Read 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. Volume27, Issue4Special Issue: Efficiency in Education, Health and Other Public ServicesJuly 2020Pages 2255-2256 RelatedInformation