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Heating with Wolves Cooling with Cacti Thermo-bio-architectural Framework (ThBA)

Charged Particle and Photon Interactions with Matter Chemical Physicochemical and Biological Consequences with Applications

Mathematical Modeling with Excel

Digital Image Processing with C++ Implementing Reference Algorithms with the CImg Library

Surveying with Geomatics and R

Mathematical Statistics With Applications

Understanding Optics with Python

Understanding Optics with Python

Optics is an enabling science that forms a basis for our technological civilization. Courses in optics are a required part of the engineering or physics undergraduate curriculum in many universities worldwide. The aim of Understanding Optics with Python is twofold: first to describe certain basic ideas of classical physical and geometric optics; second to introduce the reader to computer simulations of physical phenomena. The text is aimed more broadly for those who wish to use numerical/computational modeling as an educational tool that promotes interactive teaching (and learning). In addition it offers an alternative to developing countries where the necessary equipment to carry out the appropriate experiments is not available as a result of financial constraints. This approach contributes to a better diffusion of knowledge about optics. The examples given in this book are comparable to those found in standard textbooks on optics and are suitable for self-study. This text enables the user to study and understand optics using hands-on simulations with Python. Python is our programming language of choice because of its open-source availability extensive functionality and an enormous online support. Essentials of programming in Python 3. x including graphical user interface are also provided. The codes in the book are available for download on the book’s website. Discusses most standard topics of traditional physical and geometrical optics through Python and PyQt5 Provides visualizations and in-depth descriptions of Python’s programming language and simulations Includes simulated laboratories where students are provided a hands-on exploration of Python software Coding and programming featured within the text are available for download on the book’s corresponding website. Understanding Optics with Python by Vasudevan Lakshminarayanan Hassen Ghalila Ahmed Ammar and L. Srinivasa Varadharajan is born around a nice idea: using simulations to provide the students with a powerful tool to understand and master optical phenomena. The choice of the Python language is perfectly matched with the overall goal of the book as the Python language provides a completely free and easy-to-learn platform with huge cross-platform compatibility where the reader of the book can conduct his or her own numerical experiments to learn faster and better. — Costantino De Angelis University of Brescia Italy Teaching an important programming language like Python through concrete examples from optics is a natural and in my view very effective approach. I believe that this book will be used by students and appreciated greatly by instructors. The topic of modelling optical effects and systems where the students should already have a physical background provides great motivation for students to learn the basics of a powerful programming language without the intimidation factor that often goes with a formal computer science course. — John Dudley FEMTO-ST Institute Besançon France

GBP 130.00
1

Microcontroller Engineering with MSP432 Fundamentals and Applications

Hair Pathology with Trichoscopic Correlations

Hair Pathology with Trichoscopic Correlations

Hair Pathology with Trichoscopic Correlations Mariya Miteva MD Associate Professor Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery University of Miami Miller School of Medicine Miami Florida USA Combining pathology with trichoscopy is a powerful strategy for the optimal management of hair disorders. This highly illustrated text will help clinicians become familiar with how to obtain an optimal specimen and how to understand the pathology report in order to create an individualized approach in management. Pathologists will become familiar with the trichoscopic morphologic correlation of hair disorders with the diagnostic clues to spot and the most common pitfalls in hair pathology. CONTENTS: Hair and scalp dermoscopy (trichoscopy): An introduction * Normal scalp and hair on trichoscopy * Practical tips for mastering the scalp biopsy procedure * Introduction to horizontal sections and normal scalp anatomy on horizontal sections * Trichoscopy-guided scalp biopsy * Clues to the pathologic diagnosis of hair disorders * Pitfalls in the pathologic diagnosis of hair disorders * Alopecia areata * Alopecia areata incognita * Telogen effluvium * Androgenetic alopecia * Traumatic alopecia (without traction alopecia) * Lichen planopilaris * Frontal fibrosing alopecia * Fibrosing alopecia in a pattern distribution * Lupus erythematosus of the scalp * Traction alopecia * Central centrifugal cicatricial alopecia (CCCA) * Folliculitis decalvans * Dissecting cellulitis of the scalp * Erosive pustular dermatosis of the scalp * Acne/Folliculitis keloidalis * Scalp psoriasis * Seborrheic dermatitis * Red scalp disease * Scalp involvement in dermatomyositis * Linear morphea en coup de sabre * Hair and scalp infections * Miscellaneous * Trichoscopy in the hair transplant practice: An introduction for hair restoration surgeons and pathologists

GBP 105.00
1

Plants with Anti-Diabetes Mellitus Properties

Building Virtual Reality with Unity and SteamVR

Modelling with Ordinary Differential Equations

Introduction to Mechanism Design with Computer Applications

Environmental Statistics with S-PLUS

Handbook of Machining with Grinding Wheels

Handbook of Machining with Grinding Wheels

Grinding is a crucial technology that employs specific abrasive processes for the fabrication of advanced products and surfaces. Handbook of Machining with Grinding Wheels Second Edition highlights important industry developments that can lead to improved part quality higher productivity and lower costs. Divided into two parts the book begins with an explanation of grinding behavior and ends with a focus on new and emerging industrial applications. While the first edition focused on the basics of abrasive machining technology and presented a unified approach to machining with grinding wheels the second edition ties in the continued need for traditional processes in conjunction with the latest applications. This book highlights new research topics that include: nanotechnology alternative energy and additive manufacturing compares related approaches and provides numerous references throughout the book. New in the Second Edition:Contains the latest information on abrasives bonds and dressingUpdates classic stability lobes for grindingIntroduces a new method for tracking dynamic instability in centerless grindingProvides a section in the chapter on ultrasonic-assisted grinding which contains recent work on modelling of the processAdds material on fluid cooling Presents experimental results for in-process feedback to the grinding process Includes new examples on grinding machine technology (particularly for dressing)A single source reference covering every aspect of the grinding process Handbook of Machining with Grinding Wheels functions as a definitive guide to grinding technology for both practicing engineers and students studying graduate-level courses (such as abrasive machining; grinding R&D; metal removal processes; machining of brittle materials; and principles of

GBP 89.99
1

Reliability Analysis with Minitab

Reliability Analysis with Minitab

Statistical Analysis for the Reliability Engineering ProfessionalEffectively conduct reliability analysis using the world’s leading statistical software. Reliability Analysis with Minitab® outlines statistical concepts and applications explains the theory of probability reliability analysis and quality improvement and provides step-by-step instruction on the use of Minitab. Minitab introduces reliability analysis tools that can be used to perform tasks that range from checking the distribution fit of lifetime data to estimating the warranty costs of a product. Perform the Analyses Needed to Minimize Product Failures and Reduce CostsChock full of examples that include numerous case studies and over 200 screenshots this book is a comprehensive guide to quality and reliability in the service and manufacturing industries. It illustrates the shapes of the most commonly used statistical distributions in reliability analysis and in simple language demonstrates concepts that include parametric reliability analysis nonparametric reliability analysis warranty analysis accelerated life testing reliability test plans and probit analysis. Illustrating the application of Minitab for reliability analysis this book explains how to: Perform reliability analysis of a product with right-censored and exact failure time data Complete reliability analysis of a product with arbitrarily censored failure time dataAchieve nonparametric reliability analysis of a productPredict the amount of money that is needed to cover the warranty costs for products in a specific period of time in the futureAnalyze the results from accelerated life testing on two different productsDetermine the reliability test sample size when the test time and the number of failures are constrainedRegulate the testing time when test sample size and the number of failures are constrainedCompare the reliabilities of parts from different vendorsTest whether the reliability of a product depends on certain factorsPredict the stress level at which a product will fail after a certain test period

GBP 44.99
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Road Vehicle Dynamics Fundamentals and Modeling with MATLAB

Artificial Intelligence with Uncertainty

Introduction to Probability with R

Sodium Fast Reactors with Closed Fuel Cycle

Chemical Engineering Computation with MATLAB

Chemical Engineering Computation with MATLAB

Chemical Engineering Computation with MATLAB® Second Edition continues to present basic to advanced levels of problem-solving techniques using MATLAB as the computation environment. The Second Edition provides even more examples and problems extracted from core chemical engineering subject areas and all code is updated to MATLAB version 2020. It also includes a new chapter on computational intelligence and: Offers exercises and extensive problem-solving instruction and solutions for various problems Features solutions developed using fundamental principles to construct mathematical models and an equation-oriented approach to generate numerical results Delivers a wealth of examples to demonstrate the implementation of various problem-solving approaches and methodologies for problem formulation problem solving analysis and presentation as well as visualization and documentation of results Includes an appendix offering an introduction to MATLAB for readers unfamiliar with the program which will allow them to write their own MATLAB programs and follow the examples in the book Provides aid with advanced problems that are often encountered in graduate research and industrial operations such as nonlinear regression parameter estimation in differential systems two-point boundary value problems and partial differential equations and optimization This essential textbook readies engineering students researchers and professionals to be proficient in the use of MATLAB to solve sophisticated real-world problems within the interdisciplinary field of chemical engineering. The text features a solutions manual lecture slides and MATLAB program files. _

GBP 130.00
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