Mercurius rusticus [[electronic resource] ] : containing news from the several counties of England, and their joynt addresses to the Parliament with relation to the Army

• Record Nr.: UNISA996384641403316
• Autore: Ryves Bruno <1596-1677.>
• Pubbl/distr/stampa: [London, : s.n., 1647]
• Descrizione fisica: 8 p
• Soggetti: Great Britain History Civil War, 1642-1649 Early works to 1800
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Caption title.; Attributed to Bruno Ryves.; Imprint from Wing.; Imperfect: print show-through.; Annotation on Thomason copy E.414[5]: "Nouemb: 12 1647" and on copy E.419[19]: "Decemb:".; Reproduction of the original in the British Library.
• Sommario/riassunto: eebo-0018

Data science : theory, analysis, and applications / / edited by Qurban A Memon, Shakeel Ahmed Khoja

• Record Nr.: UNINA9910954327303321
• Pubbl/distr/stampa: Boca Raton : , : CRC Press, , [2020]
• ISBN: 0-429-55882-1; 0-429-26379-1; 0-429-55435-4
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (345 pages)
• Disciplina: 006.312
• Soggetti: Data mining - Statistical methods
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Editors -- Contributors -- PART I: Data Science: Theory, Concepts, and Algorithms -- Chapter 1 Framework for Visualization of GeoSpatial Query Processing by Integrating MongoDB with Spark -- 1.1 Introduction -- 1.1.1 Integration of Spark and MongoDB -- 1.2 Literature Survey -- 1.3 Proposed System -- 1.3.1 Methodology for Processing Spatial Queries -- 1.3.2 Spark Master-Slave Framework -- 1.3.3 Algorithms for Sharding -- 1.3.3.1 Algorithm for Range Sharding -- 1.3.3.2 Algorithms for Zone Sharding -- 1.3.4 Dataset and Statistics -- 1.4 Results and Performance Evaluation -- 1.5 Conclusion -- References -- Chapter 2 A Study on Metaheuristic-Based Neural Networks for Image Segmentation Purposes -- 2.1 Introduction -- 2.2 Supervised Image Segmentation -- 2.3 Literature Review -- 2.4 Artificial Neural Networks -- 2.5 Optimization -- 2.6 Metaheuristic Algorithms -- 2.6.1 Genetic Algorithm -- 2.6.2 Particle Swarm Optimization Algorithm -- 2.6.3 Imperialist Competitive Algorithm -- 2.7 Optimization of the Neural Networks Weights Using Optimization Algorithms -- 2.8 Experimental Setup and Method Analysis -- 2.9 Conclusions -- References -- Chapter 3 A Study and Analysis of a Feature Subset Selection Technique Using Penguin Search Optimization Algorithm -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Proposed Work -- 3.3.1 Pseudocode of the Proposed FS-PeSOA Algorithm -- ; 3.3.2 Discussion -- 3.3.2.1 Hunting Strategy of Penguins -- 3.3.2.2 Fitness Function Evaluation -- 3.3.2.3 Position Update Logic -- 3.3.2.4 Oxygen Update Logic -- 3.4 Result Analysis -- 3.5 Conclusions -- References -- Chapter 4 A Physical Design Strategy on a NoSQL DBMS -- 4.1 Introduction -- 4.2 Motivation Example -- 4.3 Neo4j -- 4.4 Design Guidelines -- 4.5 Physical Design.; 4.5.1 Query Rewriting Using Path Redundancy Pattern -- 4.5.2 Query Rewriting Using Minimal Query Pattern -- 4.5.3 Path Materialization -- 4.5.4 Index Creation -- 4.6 Experimental Study -- 4.6.1 Experimental Design -- 4.6.2 Impact of the Proposed Physical Design on Query Performance for a 1 GB Database -- 4.6.3 Impact of the Proposed Physical Design on Query Performance for a 10 GB Database -- 4.6.4 Impact of the Proposed Physical Design on Query Performance for a 100 GB Database -- 4.7 Related Work -- 4.8 Discussion -- 4.9 Future Research Directions -- 4.10 Conclusion -- References -- Chapter 5 Large-Scale Distributed Stream Data Collection Schemes -- 5.1 Introduction -- 5.2 Data Collection Scheme for Distributed TBPS -- 5.2.1 Assumed Environment -- 5.2.1.1 Assumed TBPS Architecture -- 5.2.1.2 Assumed Overlay for Distributed TBPS -- 5.2.2 Proposed Method -- 5.2.2.1 Methodology Principle -- 5.2.2.2 Collective Store and Forwarding -- 5.2.2.3 Adaptive Data Collection Tree -- 5.2.3 Evaluation -- 5.2.3.1 Simulation Parameters -- 5.2.3.2 Simulation Results -- 5.3 Data Collection Scheme Considering Phase Differences -- 5.3.1 Problems Addressed -- 5.3.1.1 Assumed Environment -- 5.3.1.2 Input Setting -- 5.3.1.3 Definition of a Load -- 5.3.2 Proposed Method -- 5.3.2.1 Skip Graphs -- 5.3.2.2 Phase Differences -- 5.3.3 Evaluation -- 5.3.3.1 Collection Target Nodes -- 5.3.3.2 Communication Loads and Hops -- 5.4 Discussion -- 5.5 Related Work -- 5.6 Conclusion -- Acknowledgements -- References -- PART II: Data Design and Analysis -- Chapter 6 Big Data Analysis and Management in Healthcare -- 6.1 Introduction -- 6.2 Preliminary Studies -- 6.3 Healthcare Data -- 6.4 Need of Big Data Analytics in Healthcare -- 6.5 Challenges in Big Data Analysis in Healthcare -- 6.5.1 Capture -- 6.5.2 Cleaning -- 6.5.3 Storage -- 6.5.4 Security -- 6.5.5 Stewardship -- 6.5.6 Querying.; 6.5.7 Reporting -- 6.5.8 Visualization -- 6.5.9 Updating -- 6.5.10 Sharing -- 6.6 Collection of Healthcare Data -- 6.6.1 Importance in Healthcare Data Collection -- 6.6.2 Complications and Clarifications of Healthcare Data Collection -- 6.6.3 Current Data Collection Methods -- 6.6.4 Advanced Data Collection Tools -- 6.6.5 Healthcare Data Standards -- 6.6.6 Inferences of Patient Data Collection in Healthcare -- 6.7 Analysis of Healthcare Data -- 6.8 Healthcare Data Management -- 6.8.1 Big Data and Care Management -- 6.8.2 Advantages of Healthcare Data Management -- 6.9 Big Data in Healthcare -- 6.9.1 Big Data and IoT -- 6.9.2 Patient Prophecies for Upgraded Staffing -- 6.9.3 Electronic Health Records -- 6.9.4 Real-Time Warning -- 6.9.5 Augmenting Patient Engagement -- 6.9.6 Using Health Data for Informed Strategic Planning -- 6.9.7 Extrapolative Analytics in Healthcare -- 6.9.8 Diminish Fraud and Enrich Security -- 6.9.9 Telemedicine -- 6.9.10 Assimilating Big Data per Medical Imaging -- 6.9.11 A Method to Avert Pointless ER (Emergency Room) Visits -- 6.10 Future for Big Data in Healthcare -- 6.11 Conclusion -- References -- Chapter 7 Healthcare Analytics: A Case Study Approach Using the Framingham Heart Study -- 7.1 Introduction and Background to the Case Study: Framingham Heart Study -- 7.2 Literature Review -- 7.3 Introduction to the Data Analytics Framework -- 7.3.1 Step 1. Defining the Healthcare Problem -- 7.3.2 Step 2. Explore the Healthcare Data -- 7.3.3 Step 3. Predict What Is Likely to Happen -- or Perform ; Classification Analysis -- 7.3.4 Step 4. Check the Modeling Results -- 7.3.5 Step 5. Optimize (Find the Best Solution) -- 7.3.6 Step 6. Derive a Clinical Strategy for Patient Care and Measure the Outcome -- 7.3.7 Step 7. Update the CDS System -- 7.4 Data Exploration and Understanding of the Healthcare Problem.; 7.5 Machine-Learning Model Application -- 7.6 Evaluation of the Machine-Learning Model Results -- 7.7 Conclusion -- 7.8 Future Direction -- Acknowledgements -- References -- Chapter 8 Bioinformatics Analysis of Dysfunctional (Mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome -- 8.1 Introduction -- 8.2 Results -- 8.2.1 Brief Description of Unique BrS-Related Proteins -- 8.2.2 PIM-Based Analysis of the Unique BrS-Related Proteins -- 8.2.3 Intrinsic Disorder Analysis of the BrS-Related Proteins -- 8.2.4 Kolmogorov-Smirnov Test -- 8.3 Discussion -- 8.4 Materials and Methods -- 8.4.1 Evaluation of Polar Profile -- 8.4.1.1 Weighting of Polar Profiles -- 8.4.1.2 Comparison of Polar Profiles -- 8.4.1.3 Graphics of Polar Profiles -- 8.4.2 Evaluation of Intrinsic Disorder Predisposition -- 8.4.3 Data Files -- 8.4.4 Kolmogorov-Smirnov Test -- 8.4.5 Test Plan -- 8.4.5.1 Polar Profile -- 8.5 Conclusions -- References -- Chapter 9 Discrimination of Healthy Skin, Superficial Epidermal Burns, and Full-Thickness Burns from 2D-Colored Images Using Machine Learning -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Skin Burns -- 9.2.2 Causes of Burn Injuries -- 9.2.3 Burns Category -- 9.2.4 Burn Assessment Techniques -- 9.2.4.1 Clinical Assessment -- 9.2.4.2 Blood Perfusion Measurement -- 9.3 Machine Learning -- 9.3.1 Convolutional Neural Networks -- 9.3.1.1 Convolution Layer -- 9.3.1.2 Pooling Layer -- 9.3.1.3 Output/Classification Layer -- 9.3.2 Training a ConvNet -- 9.3.3 Common ConvNet Models -- 9.3.3.1 AlexNet -- 9.3.3.2 GoogleNet -- 9.3.3.3 VGGNet -- 9.3.3.4 Residual Network -- 9.4 Goals and Methodology -- 9.4.1 Image Acquisition and Preprocessing -- 9.4.2 Feature Extraction and Classification -- 9.5 Results and Discussion -- 9.5.1 Terms Related to Contingency Table -- 9.5.2 Classifier Performance -- 9.6 Conclusions -- References.; Chapter 10 A Study and Analysis of an Emotion Classification and State-Transition System in Brain Computer Interfacing -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Proposed Work -- 10.3.1 Classification Processes -- 10.3.1.1 SVM Classifier -- 10.3.1.2 KNN Classifier -- 10.3.1.3 Random Forest Classifier -- 10.3.2 State-Transition Machine -- 10.3.2.1 Proposed Algorithm of Emotional State Transition Based on Channel Value for a Fixed Time Interval -- 10.4 Result Analysis -- 10.4.1 Requirement -- 10.4.2 Result Comparisons of SVM, KNN, and Random Forest Classifiers -- 10.4.3 SVM Polynomial Kernel Performance Analysis -- 10.4.4 Analysis of the State-Transition Machine -- 10.4.5 Comparison with Previous Works -- 10.4.6 Computational Complexity -- 10.5 Conclusion -- Acknowledgment -- References -- PART III: Applications and New Trends in Data Science -- Chapter 11 Comparison of Gradient and Textural Features for Writer Retrieval in Handwritten Documents -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Adopted Features -- 11.3.1 Local Binary Pattern -- 11.3.2 Histogram of Oriented Gradients -- 11.3.3 Gradient Local Binary Pattern -- 11.3.4 Pixel Density -- 11.3.5 Run Length Feature -- 11.4 Matching Step -- 11.5 Experimental Evaluation -- 11.5.1 Evaluation Criteria -- 11.5.2 Experimental Setup -- 11.5.3 Retrieval Results -- 11.6 Discussion and Comparison -- 11.7 Conclusion -- References -- Chapter 12 A Supervised Guest Satisfaction Classification with Review Text and Ratings -- 12.1 Introduction -- 12.2 Related Literature -- 12.2.1 Guest Satisfaction and ; Online Reviews -- 12.3 Methodology -- 12.3.1 Data Description and Analysis -- 12.3.2 Data Cleaning -- 12.3.3 Latent Semantic Analysis -- 12.3.4 Classifiers and Performance Measures -- 12.4 Experimental Results -- 12.4.1 Features Related to Guest Satisfaction.; 12.4.2 Hotel Guest Satisfaction Prediction.
• Sommario/riassunto: "The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: Part 1: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science"--

State, society and the market in contemporary Vietnam : property, power and values / / edited by Hue-Tam Ho Tai and Mark Sidel

• Record Nr.: UNINA9910970547803321
• Pubbl/distr/stampa: New York : , : Routledge, , 2013
• ISBN: 1-136-22644-3; 0-203-09831-5; 1-283-86159-3; 1-136-22645-1
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (537 p.)
• Collana: Asia's transformations ; ; 39
• Altri autori (Persone): SidelMark; TaiHue-Tam Ho <1948->
• Disciplina: 323.4/609597
• Soggetti: Real property - Vietnam; Right of property - Vietnam; Vietnam Economic policy; Vietnam Commerce
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. [224]-243) and index.
• Nota di contenuto: Introduction : property, rights, and values : state, society and the market in Vietnam / Hue-Tam Ho Tai and Mark Sidel -- Property and state in fifteenth century Dai Viet : public and private land / John Whitmore -- Property and poverty in southern Vietnam : colonial and postcolonial perspectives / David Biggs -- Bodies in perpetual motion : peasant labor and the state in the DRV / Ken MacLean -- Legal rights to resources versus forest access in the Vietnamese uplands / To Xuan Phuc -- Social demolition : creative destruction and the production of value in Vietnamese land clearance / Erik Harms -- Constructing civil society on a demolition site in Hanoi / Nguyen Vu Hoang -- Property, corruption, and political control over the courts : The Do Son land case / Mark Sidel -- The emerging role of property rights in land and housing disputes in Hanoi / John Gillespie -- The commodification of village songs and dances in seventeenth and eighteenth-century Vietnam / Nhung Tuyet Tran -- Appropriating culture : the case of intangible cultural heritage in Vietnam / Oscar Salemink -- What's in a ; name? : the case of the Saola / C. Michele Thompson -- Epilogue : property, state and society in Vietnam and beyond / Thomas Sikor.
• Sommario/riassunto: "Lively debates around property, access to resources, legal rights and the protection of livelihoods have unfolded in Vietnam since the economic reforms of 1986. Known as Doi Moi (changing to the new), these have gradually transformed the country from a socialist state to a society in which a communist party presides over a neoliberal economy. By exploring the complex relationship between property, the state, society and the market, this book demonstrates how both developmental issues and state-society relations in Vietnam can be explored through the prism of property relations and property rights. The essays in this collection demonstrate how negotiations over property are deeply enmeshed with dynamics of state formation, and covers debates over the role of the state and its relationship to various levels of society, the intrusion of global forces into the lives of marginalized communities and individuals, and how community norms and standards shape and reshape national policy and laws"--Provided by publisher.