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Cutaneous T-Cell Lymphoma Mycosis Fungoides and Sezary Syndrome

Defining Aerospace Policy Essays in Honor of Francis T. Hoban

Routledge Handbook of Strength and Conditioning Sport-specific Programming for High Performance

Some Young People

Forced Labour in Colonial Africa A. T. Nzula I. I. Potekhin and A. Z. Zusmanovich

Classification of Lipschitz Mappings

The Distributed Functions of Emergency Management and Homeland Security An Assessment of Professions Involved in Response to Disasters and T

The Distributed Functions of Emergency Management and Homeland Security An Assessment of Professions Involved in Response to Disasters and T

The Distributed Functions of Emergency Management and Homeland Security outlines the roles and responsibilities of various individuals and agencies involved in homeland security and all aspects of emergency management. Each chapter focuses on the practical and applied aspects of a range of public servants in various departments and the organizations that they represent. Rather than presenting a theoretical exploration alone the book examines the practical knowledge and hands-on skills related to various functions and how their decisions and actions play into the larger framework of safety and security —in the public private and nonprofit sectors. Every professional has a unique and integral part to play in fulfilling their roles and obligations whether it be in relation to prevention mitigation preparedness response or recovery operations. Personnel that frequently come to mind in such scenarios include emergency managers geographers and land-use planners EMTs and paramedics fire fighters police officers public health officials nurses public administrators and public information officers. And while these individuals are integral to homeland security and emergency management there are other professionals that also perform essential duties that—while they aren’t first-to-mind—are vital to efforts relating to terrorism and disasters; this includes pilots in the aviation sector the military attorneys psychologists and forensic professionals serving in pathology DNA and dentistry roles. Chapters provide a holistic rendering of the homeland security and emergency management landscape to present all these various professional capabilities and contributions. This includes how current functions are coordinated as well as how future efforts might change relative to a more proactive all-hazards and holistic approach. As such the book will be a useful resource for students and practitioners to understand the dynamic professions—and various disciplines and fields—that impact disaster and terrorism preparedness and response capabilities. | The Distributed Functions of Emergency Management and Homeland Security An Assessment of Professions Involved in Response to Disasters and T

GBP 48.99
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Thoracic Surgery: 50 Challenging cases

Global Metal Music and Culture Current Directions in Metal Studies

GBP 44.99
1

Historical Sociology in India

Cambridge Theology in the Nineteenth Century Enquiry Controversy and Truth

Revival: Microspheres: Medical and Biological Applications (1988)

Introduction to Environment Biodiversity and Climate Change

Medical Image Processing Advanced Fuzzy Set Theoretic Techniques

Medical Image Processing Advanced Fuzzy Set Theoretic Techniques

Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory there has been an explosion of interest in advanced fuzzy set theories—such as intuitionistic fuzzy and Type II fuzzy set—that represent uncertainty in a better way. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students this higher-level text:Provides a brief introduction to advanced fuzzy set theory fuzzy/intuitionistic fuzzy aggregation operators and distance/similarity measuresCovers medical image enhancement using advanced fuzzy sets including MATLAB®-based examples to increase contrast of the imagesDescribes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesionsDemonstrates the clustering of unwanted lesions/regions even in the presence of noise by applying intuitionistic fuzzy clusteringHighlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regionsDefines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator t-norms and t-conormsMedical Image Processing: Advanced Fuzzy Set Theoretic Techniques is useful not only for students but also for teachers engineers scientists and those interested in the field of medical image analysis. A basic knowledge of fuzzy set is required along with a solid understanding of mathematics and image processing. | Medical Image Processing Advanced Fuzzy Set Theoretic Techniques

GBP 44.99
1

The Comprehensive Resource Model Effective therapeutic techniques for the healing of complex trauma

The Comprehensive Resource Model Effective therapeutic techniques for the healing of complex trauma

Traditional methods employed in psychotherapy have limited effectiveness when it comes to healing the psychological effects of trauma in particular complex trauma. While a client may seem to make significant breakthroughs in understanding their feelings and experiences on a rational level by talking with a therapist this will make no difference to their post-traumatic symptoms if the midbrain is unable to modulate its activity in response. The Comprehensive Resource Model argues for a novel therapeutic approach which uniquely bridges neuroscience and spirituality through a combination of somatic therapy traditional psychotherapy and indigenous healing concepts to provide effective relief to survivors of trauma. The Comprehensive Resource Model was developed in response to the need for a streamlined integrative therapeutic model; one which engages a scaffolding of neurobiological resources in many brain structures simultaneously in order for clients to be fully embodied and conscious in the present moment while processing their traumatic material. All three phases of trauma therapy: resourcing processing and integration are done simultaneously. Demonstrating a nested model and employing brain and body-based physiological safety as the foundation of healing chapters describe three primary categories of targeted processing: implicit and explicit survival terror ‘Little T Truths’ and ‘Big T Truths’ all of which contribute to thorough healing of complex trauma and an expansion into higher states of consciousness and embodiment of the essential core self. This book describes the development and benefits of this pioneering new approach to trauma therapy. As such it will be of key interest to academics researchers and postgraduate students in the fields of psychiatry psychotherapy psychology and trauma studies. It will also appeal to practising therapists psychiatrists psychologists psychiatric nurses and to others involved in the treatment or management of patients with complex trauma disorders. | The Comprehensive Resource Model Effective therapeutic techniques for the healing of complex trauma

GBP 46.99
1

The Sharpe Ratio Statistics and Applications

The Sharpe Ratio Statistics and Applications

The Sharpe ratio is the most widely used metric for comparing theperformance of financial assets. The Markowitz portfolio is the portfolio withthe highest Sharpe ratio. The Sharpe Ratio: Statistics and Applications examines the statistical propertiesof the Sharpe ratio and Markowitz portfolio both under the simplifying assumption of Gaussian returns and asymptotically. Connections are drawn between the financial measures and classical statistics includingStudent's t Hotelling's T^2 and the Hotelling-Lawley trace. The robustness of these statistics to heteroskedasticity autocorrelation fat tails and skew of returns are considered. The construction of portfolios to maximizethe Sharpe is expanded from the usual static unconditional model to include subspace constraints heding out assets and the use of conditioning information on both expected returns and risk. {book title} is the most comprehensivetreatment of the statistical properties of the Sharpe ratio and Markowitzportfolio ever published. Features: * Material on single asset problems market timing unconditional and conditional portfolio problems hedged portfolios. * Inference via both Frequentist and Bayesian paradigms. *A comprehensive treatment of overoptimism and overfitting of trading strategies. *Advice on backtesting strategies. *Dozens of examples and hundreds of exercises for self study. This book is an essential reference for the practicing quant strategist and the researcher alike and an invaluable textbook for the student. Steven E. Pav holds a PhD in mathematics from Carnegie Mellon University and degrees in mathematics and ceramic engineering sciencefrom Indiana University Bloomington and Alfred University. He was formerly a quantitative strategist at Convexus Advisors and CerebellumCapital and a quantitative analyst at Bank of America. He is the author of a dozen R packages including those for analyzing the significance of the Sharpe ratio and Markowitz portfolio. He writes about the Sharpe ratio at https://protect-us. mimecast. com/s/BUveCPNMYvt0vnwX8Cj689u?domain=sharperat. io . | The Sharpe Ratio Statistics and Applications

GBP 44.99
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Psychological Statistics and Psychometrics Using Stata

Contemplating Curriculum Genealogies/Times/Places

Evolutionary Naturalism in Victorian Britain The 'Darwinians' and their Critics

Groundwater and Surface Water Pollution

The Routledge Guide to Teaching Translation and Interpreting Online

The Cultural Critics From Matthew Arnold to Raymond Williams

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE) Laplacian Eigenmaps Isomap Semidefinite Embedding and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts derivations and proofs with logical explanations for these algorithms are discussed including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization. FEATURES Demonstrates how unsupervised learning approaches can be used for dimensionality reduction Neatly explains algorithms with a focus on the fundamentals and underlying mathematical concepts Describes the comparative study of the algorithms and discusses when and where each algorithm is best suitable for use Provides use cases illustrative examples and visualizations of each algorithm Helps visualize and create compact representations of high dimensional and intricate data for various real-world applications and data analysis This book is aimed at professionals graduate students and researchers in Computer Science and Engineering Data Science Machine Learning Computer Vision Data Mining Deep Learning Sensor Data Filtering Feature Extraction for Control Systems and Medical Instruments Input Extraction.

GBP 56.99
1

Geometric Modeling and Mesh Generation from Scanned Images

Geometric Modeling and Mesh Generation from Scanned Images

Cutting-Edge Techniques to Better Analyze and Predict Complex Physical PhenomenaGeometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing geometric modeling and mesh generation with the finite element method (FEM) to solve problems in computational biology medicine materials science and engineering. Based on the author’s recent research and course at Carnegie Mellon University the text explains the fundamentals of medical imaging image processing computational geometry mesh generation visualization and finite element analysis. It also explores novel and advanced applications in computational biology medicine materials science and other engineering areas. One of the first to cover this emerging interdisciplinary field the book addresses biomedical/material imaging image processing geometric modeling and visualization FEM and biomedical and engineering applications. It introduces image-mesh-simulation pipelines reviews numerical methods used in various modules of the pipelines and discusses several scanning techniques including ones to probe polycrystalline materials. The book next presents the fundamentals of geometric modeling and computer graphics geometric objects and transformations and curves and surfaces as well as two isocontouring methods: marching cubes and dual contouring. It then describes various triangular/tetrahedral and quadrilateral/hexahedral mesh generation techniques. The book also discusses volumetric T-spline modeling for isogeometric analysis (IGA) and introduces some new developments of FEM in recent years with applications.

GBP 46.99
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Osmotic and Ionic Regulation Cells and Animals