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Applied scanning probe methods V : Scanning probe microscopy techniques
The scanning probe microscopy ?eld has been rapidly expanding. It is a demanding task to collect a timely overview of this ?eld with an emphasis on technical dev- opments and industrial applications. It became evident while editing Vols. I–IV that a large number of technical and applicational aspects are present and rapidly - veloping worldwide. Considering the success of Vols. I–IV and the fact that further colleagues from leading laboratories were ready to contribute their latest achie- ments, we decided to expand the series with articles touching ?elds not covered in the previous volumes. The response and support of our colleagues were excellent, making it possible to edit another three volumes of the series.
Applied scanning probe methods IX : Characterization
The success of the Springer Series Applied Scanning Probe Methods I–VII and the rapidly expanding activities in scanning probe development and applications worldwide made it a natural step to collect further speci c results in the elds of development of scanning probe microscopy techniques (Vol. VIII), characterization (Vol. IX), and biomimetics and industrial applications (Vol. X). These three volumes complement the previous set of volumes under the subject topics and give insight into the recent work of leading specialists in their respective elds. Following the tradition of the series, the chapters are arranged around techniques, characterization and biomimetics and industrial applications. Volume VIII focuses on novel scanning probe techniques and the understanding of tip/sample interactions. Topics include near eld imaging, advanced AFM, s- cializedscanningprobemethodsinlifesciencesincludingnewselfsensingcantilever systems, combinations of AFM sensors and scanning electron and ion microscopes, calibration methods, frequency modulation AFM for application in liquids, Kelvin probe force microscopy, scanning capacitance microscopy, and the measurement of electrical transport properties at the nanometer scale.
Applied Research in Uncertainty Modeling and Analysis
For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology. Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering.
Applied Remote Sensing for Urban Planning, Governance and Sustainability
Despite the promising and exciting possibilities presented by new and fast-developing remote sensing technologies applied to urban areas, there is still a gap perceived between the generally academic and research-focused spectrum of results offered by the “urban remote sensing” community and the application of these data and products by the local governmental bodies of urban cities and regions. While there is no end of interesting science questions that we can ask about cities, sometimes these questions don't match well with what the operational problems and concerns of a given city are. The authors present data from six urban regions from all over the world. They explain what the important questions are, and how one can use data and scientific skills to help answer them.
Applied Quantitative Finance
Applied Quantitative Finance (2nd edition) provides a comprehensive and state-of-the-art treatment of cutting-edge topics and methods. It provides solutions to and presents theoretical developments in many practical problems such as risk management, pricing of credit derivatives, quantification of volatility and copula modelling. The synthesis of theory and practice supported by computational tools is reflected in the selection of topics as well as in a finely tuned balance of scientific contributions on practical implementation and theoretical concepts. This linkage between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners comfortable access to new techniques in quantitative finance.
Applied Probability and Statistics
This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics.
Applied Peritoneal Dialysis : Improving Patient Outcomes
This book offers a comprehensive guide to peritoneal dialysis (PD). Home dialysis, and more specifically PD, is growing in popularity in the US. By conservative estimates, experts suggest that 45 percent of dialysis patients in the US can be on home dialysis. However, the current penetration rate is only 10 percent. This is changing with an expected major increase in the next 5 years. One of the reasons for the low uptake is that many nephrologists lack comfort and confidence in using PD as a dialysis modality.
Applied mathematics and machine learning
The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and statistical inferences, to name a few, have provided the foundation for the exploration of new multidisciplinary models for solving practical problems. This Special Issue endeavors to continue the journey that started in our previous Special Issue (Applied Mathematics and Computational Physics) by providing a platform for researchers from both academia and industry, as well as government, to present their new computational methods that have engineering and physics applications.
Applied Hydrogeophysics
This book focuses on how hydrogeophysical methods can be applied to solve problems facing environmental engineers, geophysicists, agronomists, hydrologists, soil scientists and hydrogeologists. We present applications of hydrogeophysical methods to the understanding of hydrological processes and environmental problems dealing with the flow of water and the transport of solutes and contaminants. The majority of the book is organized as a series of process-driven chapters, each authored by leading experts. Areas covered include: infiltration and solute transport processes, biogeochemical functioning of soil-water systems, coastal groundwater interactions, cold region hydrology, engineered barriers and landfill processes. In addition, the book offers insight into the development of new data fusion methodologies, of value to many hydrogeophysical investigations, and provides an account how the rapidly developing self-potential technique can give valuable information about water fluxes and hydrochemical states within the subsurface.
Applied geotechnics for construction projects ; Vol. 3 : Behavior and Design of Project Foundations and Eurocode Validation
Applied Geotechnics for Construction Projects 3 first presents the basic theoretical principles and rules governing the designing and validation of foundations; shallow, semi-deep and deep, then presents real foundation projects with a detailed comparison of the approaches and methods of calculating foundations in relation to the reference systems and rules in force, closely compared to and validated by the Eurocodes. The third chapter presents examples of foundation projects, covering high-side building rafts, strip footings, piles and embankments, enriched by an unprecedented level of experience in the field of foundations for civil and industrial construction projects.
Applied geotechnics for construction projects ; Vol. 2 : Fundamental Principles of Soil Mechanics and the Role of Water
Addresses the fundamental principles of soil mechanics and the role of water in geotechnical projects and assessments. Applied Geotechnics for Construction Projects 2 outlines the hydraulic properties of soils and the basic concepts of water in soil, detailing the principles of permeability measurement tests and giving concrete test cases, and then goes on to outline the basic notions of soil mechanics as applied in geotechnics: from consolidation to short- and long-term notions via the swelling phenomena of clayey soils, soil shear strength and slope stability. The third chapter presents a comprehensive overview of geotechnical expertise using examples of concrete projects either with or without damage in the context of geotechnical construction works.
Applied geotechnics for construction projects ; Vol. 1 : Soil and Experimental Data
Applied Geotechnics for Construction Projects 1 first defines, identifies and classifies soils, exploring their complexities and weaknesses, and then outlines the basic principles of stresses and strains that establish and develop within soils. The third chapter of the book introduces and develops methods of soil investigation in order to experimentally determine the geotechnical parameters that are useful in the design stage of construction projects.
Applied Geometry for Computer Graphics and CAD
Focusing on the manipulation and representation of geometrical objects, this book explores the application of geometry to computer graphics and computer-aided design (CAD). An introduction to transformations of the plane and three-dimensional space describes how objects can be constructed from geometric primitives and manipulated. This leads into a treatment of projections and the method of rendering objects on a computer screen by application of the complete viewing operation. Subsequently, the emphasis is on the two principal curve and surface representations, namely, Bézier and B-spline (including NURBS).
Applied Fuzzy Arithmetic : An Introduction with Engineering Applications
Applied Fuzzy Arithmetic provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction to the theory of fuzzy arithmetic, which aims to present the subject in a well-organized and comprehensible form. The derivation of fuzzy arithmetic from the original fuzzy set theory and its evolution towards a successful implementation is presented with existing formulations of fuzzy arithmetic included and integrated in the overall context. The second part of the book presents a diversified exposition of the application of fuzzy arithmetic, addressing different areas of the engineering sciences, such as mechanical, geotechnical, biomedical, and control engineering.
Applied Deep Learning with TensorFlow 2 : Learn to Implement Advanced Deep Learning Techniques with Python
Focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally. You will: Understand the fundamental concepts of how neural networks work / Learn the fundamental ideas behind autoencoders and generative adversarial networks / Be able to try all the examples with complete code examples that you can expand for your own projects / Have available a complete online companion book with examples and tutorials.
Applied cryptography and network security ; Vol. 3531 ; 3rd international conference, ACNS 2005, New York, NY, USA, June 7-10, 2005, Proceedings
The 3rd International Conference on Applied Cryptography and Network Security (ACNS 2005) was sponsored and organized by ICISA (the International Commu- cations and Information Security Association). It was held at Columbia University in New York, USA, 2005. This conference proceedings volume contains papers presented in the academic/research track. ACNS covers a large number of research areas that have been gaining importance in recent years due to the development of the Internet, wireless communication and the increased global exposure of computing resources. The papers in this volume are representative of the state of the art in security and cryptography research, worldwide.
Applied computational materials modeling : Theory, simulation and experiment
this book provides the average person working in the materials field with a more balanced perspective of the role that computational modeling can play in every day research and development efforts. This is done by presenting a series of examples of the successful application of various computational modeling procedures (everything from first principles to quantum approximate to CALPHAD methods) to real life surface and bulk alloy problems.This book should have a large appeal in the materials community, both for experimentalists who would greatly benefit from adding computational methods to their everyday research regimes, as well as for those scientists/engineers familiar with a particular computational method who would like to add complementary techniques to their arsenal of research and development tools
Applications of Time Delay Systems
This book provides an update of the latest research in control of time delay systems and applications by world leading experts. It will appeal to engineers, researchers and students in Control.
Applications of simulation methods in environmental and resource economics
Simulation methods are revolutionizing the practice of applied economic analysis. This volume collects eighteen chapters written by leading researchers from prestigious research institutions the world over. The common denominator of the papers is their relevance for applied research in environmental and resource economics. The topics range from discrete choice modeling with heterogeneity of preferences, to Bayesian estimation, to Monte Carlo experiments, to structural estimation of Kuhn-Tucker demand systems, to evaluation of simulation noise in maximum simulated likelihood estimates, to dynamic natural resource modeling. Empirical cases are used to show the practical use and the results brought forth by the different methods.
Applications of Plant Metabolic Engineering
Written by leading international experts in the field of plant metabolic engineering, this book discusses, mainly, applications of plant metabolic engineering. Metabolic engineering, which is part of second generation biotechnology, has made several contributions at basic level as well as at conceptualising products ever since its emergence in the early 1980s. Applications resulting from metabolic engineering are expected to play a very important role in future for plant breeding, e.g. for improved resistance or improved traits concerning health promoting constituents, and production of fine chemicals such as medicines, flavors and fragrances.
