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Introduction to Focused Ion Beams : Instrumentation, Theory, Techniques and Practice
Introduction to Focused Ion Beams is geared towards techniques and applications. The first portion of this book introduces the basics of FIB instrumentation, milling, and deposition capabilities. The chapter dedicated to ion-solid interactions is presented so that the FIB user can understand which parameters will influence FIB milling behavior. The remainder of the book focuses on how to prepare and analyze samples using FIB and related tools, and presents specific applications and techniques of the uses of FIB milling, deposition, and dual platform techniques. This is the only text that discusses and presents the theory directly related to applications and the only one that discusses the vast applications and techniques used in FIBs and Dual platform instruments.
Introduction to Bayesian Statistics
This is the second and translated edition of the German book “Einf ̈uhrung in die Bayes-Statistik, Springer-Verlag, Berlin Heidelberg New York, 2000”. It has been completely revised and numerous new developments are pointed out together with the relevant literature. The Chapter 5.2.4 is extended by the stochastic trace estimation for variance components. The new Chapter 5.2.6 presents the estimation of the regularization parameter of type Tykhonov regularization for inverse problems as the ratio of two variance components.The reconstruction and the smoothing of digital three-dimensional images is demonstrated in the new Chapter 5.3. The Chapter 6.2.1 on importance sampling for the Monte Carlo integration is rewritten to solve a more general integral. This chapter contains also the derivation of the SIR (sampling-importance-resampling) algorithm as an alternative to the rejection method for generating random samples. Markov Chain Monte Carlo methods are now frequently applied in Bayesian statistics.
Intelligent Interactive Systems in Knowledge-Based Environments
The main aim of this research book is to report a sample of the most recent advances in the field of intelligent interactive systems in knowledge-based environment.
Intelligent glasses store
Technology has been found to facilitate humankind's life. Hence, there is a new technique almost every day. One of the most common is E-commerce. This is the first project in Syria. about online glasses Shop, which displays sets of glasses on a website. The website allows the shopkeeper (the admin) to add their collections of glasses. Set prices and show reservations. Users can view glasses on the website and try whatever he wants by real-time or by recording video, then they add the preferred ones to the cart to reserve the sample they like the most for a specific time. This project aims to allow busy traders to make their own business online, in addition, it saves time and effort for them and users as they can make shopping and compare goods whatever the situation is especially in quarantine.
Intelligent Educational Machines : Methodologies and Experiences
Artificial Intelligence and Education is an ever-growing research area. It uses artificial intelligence tools and techniques to provide the foundations for intelligent tutoring and learning systems. The main concern is taking advantage of computer-based technology to examine, discuss and foster the processes of cognition, learning, teaching and related subjects. This book supports and develops innovative teaching methods and learning systems. The goal of this volume has been to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of artificial intelligence in education and foundations of engineering educational intelligent systems as well as applications and interesting experiences in the field. The book should be useful both for beginners and experienced researchers interested in applying computational intelligence to the educational process.
Insurance intermediation : An economic analysis of the information services market
Insurance intermediaries can help consumers to economize on information and transaction costs in insurance markets. However, competing intermediaries provide heterogeneous information services, which are difficult to assess by incompletely informed consumers. Conduct and performance in the market for insurance information services are analyzed by applying search theoretical and industrial organization approaches. Based on a sample of 927 insurance intermediaries, the factors that affect the quality of the information services provided by them are studied empirically. The results obtained support the main hypotheses derived from industrial organization theories as to the poor working of quality competition under incomplete and asymmetric information on the side of consumers.
Influence of Children on Family Purchase Decision
Nowadays, when it comes to the purchase decision there is several factors that affect it. It may be the promotion of the product or service, the way it’s presented, the price and too many other factors. But also, we can take the purchase decision from another point view where there may be people that influence it. These people may be friends, family, partners, children, or other. We conducted this research to investigate whether there is a children’s influence on the family purchase decision in Syria. It was based on deductive methodology that guided us to collect the primary data through distributing a questionnaire which was based on Likert five scale. As well as the sample that was set from infinite population.
Inference for change point and post change means after a CUSUM test
This monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals for change-point and post-change parameters after a change is detected by using a CUSUM procedure. Researchers in change-point problems and sequential analysis, time series and dynamic systems, and statistical quality control will find that the methods and techniques are mostly new and can be extended to more general dynamic models where the structural and distributional parameters are monitored. Practitioners, who are interested in applications to quality control, dynamic systems, financial markets, clinical trials and other areas, will benefit from case studies based on data sets from river flow, accident interval, stock prices, and global warming. Readers with an elementary probability and statistics background and some knowledge of CUSUM procedures will be able to understand most results as the material is relatively self-contained.The exponential family distribution is used as the basic model that includes changes in mean, variance, and hazard rate as special cases. There are fundamental differences between the sequential sampling plan and fixed sample size. Although the results are given under the CUSUM procedure, the methods and techniques discussed provide new approaches to deal with inference problems after sequential change-point detection, and they also contribute to the theoretical aspects of sequential analysis. Many results are of independent interests and can be used to study random walk related stochastic models.
Immune mediators in cancer : Methods and protocols
Provides a comprehensive collection of classic and cutting-edge methodologies as well as bioinformatics and genome-editing approaches that are used to quantify immune mediators and analyze their function and biological activity in cancer cells and tissues. Beginning with a section on the detection of immune mediators in samples, the volume continues with sections covering cytokine bioassays, the expression and regulation of immune mediators in cancer cells, and methods to navigate the enormous datasets created by modern DNA and RNA sequencing and proteomic technology. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Image Analysis, Sediments and Paleoenvironments
This seventh volume of the DPER series examines imaging techniques for sedimentologists, paleolimnologists, paleoceanographers and microscopists working on issues related to paleoenvironmental reconstruction. It will help the researcher or graduate student to understand every step involved in the imaging process, from image acquisition to measurements.nbsp; Procedures are described to ensure that the right protocols and methodology are selected to solve a particular issue, and to evaluate the validity of scientific results. Case studies illustrate the wide range of information that can be obtained from many kinds of sediments (marine, lacustrine and aeolian) and different types of samples (cores, embedded blocks, microscopic slides) using different regions of the electromagnetic spectrum (visible, UV, IR, X-ray). The volume provides comprehensive protocols, guidelines, and recommendations for the use of low cost image analysis techniques, to facilitate intercomparisons of measurements.
Illustrated C# 2008
The unique, visual format of Illustrated C# 2008 has been specially created by author and teacher of development methods, Daniel Solis. The concise text, use of tables to clarify language features, frequent figures and diagrams, as well as focused code samples all combine to create a unique approach that will help you understand and get to work with C# fast. It was while teaching numerous seminars on various programming languages that the author realized the immense power that diagrams have in explaining programming language concepts. Most people learn quicker and retain information better when the material is presented in a clean, simple, visual format. To achieve this result in his book, Solis uses concise text and bulleted lists, tables to clarify and summarize language features, as well as his renowned and ubiquitous figures and diagrams.
Illustrated C# 2005
Illustrated C# 2005 presents the C# programming language in a unique visual manner. The book uses three techniques to achieve this: concise text, tables that clarify and summarize language features, and frequent figures and diagrams. Each feature is also illustrated with concise, focused code samples.
Identification of Continuous-time Models from Sampled Data
Identification of Continuous-time Models from Sampled Data brings together contributions from well-known experts who present an up-to-date view of this active area of research and describe recent methods and software tools developed in this field.
High-Level Modeling and Synthesis of Analog Integrated Systems
In High-Level Modeling and Synthesis of Analog Integrated Systems, two novel generic behavioral models are described. The first one adopts a time-domain approach and is suited for classes like Delta-Sigma modulators and sampled-data systems. For the second model, a new frequency-domain framework has been developed (the Phase- Frequency Transfer model) which allows the representation of classes of RF systems like front-ends of wireless receivers. To complete the high-level design strategy, the synthesis strategy has been concretized with a new top-down heterogeneous optimization algorithm.
High accuracy detection of mobile malware using machine learning
As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-of-the-art comparative evaluation of deep learning approaches for mobile botnet detection; a novel visualization-based approach that utilizes images for Android botnet detection; a study on the detection of drive-by exploits in images using deep learning; etc. Furthermore, this reprint presents state-of-the-art reviews about machine learning-based detection techniques that will increase researchers' knowledge in the field and enable them to identify future research and development directions.
Hexagonal image processing : A practical approach
Hexagonal Image Processing provides an introduction to the processing of hexagonally sampled images, includes a survey of the work done in the field, and presents a novel framework for hexagonal image processing (HIP) based on hierarchical aggregates. Digital image processing is currently dominated by the use of square sampling lattices, however, hexagonal sampling lattices can also be used to define digital images. The strengths offered by hexagonal lattices over square lattices are considerable: • higher packing density, • uniform connectivity of points (pixels) in the lattice, • better angular resolution by virtue of having more nearest neighbours, and • superlative representation of curves. The utility of the HIP framework is demonstrated by implementing several basic image processing techniques (for the spatial and frequency domain) and some applications. The HIP framework serves as a tool for comparing processing of images defined on a square vs hexagonal grid, to determine their relative merits and demerits. The theory and algorithms covered are supplemented by attention to practical details such as accommodating hardware that support only images sampled on a square lattice. Including a Foreword written by Professor Narendra Ahuja, an eminent researcher in the field of Image Processing and Computer Vision, the book’s fresh approach to the subject offers insight and workable know-how to both researchers and postgraduates.
Heterogeneity in statistical genetics : How to assess, address, and account for mixtures in association studies
Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon.In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association.
Healthy Longevity in China : Demographic, Socioeconomic, and Psychological Dimensions
China is aging at an extraordinary speed and has the largest quantity of elderly persons in the world. Scholars utilize this unprecedented living experience of human being and the unique Chinese Longitudinal Healthy Longevity Survey (CLHLS) datasets with the aim to answer in this volume the following questions critical to the aging population world wide. Is the period of disability compressing or expanding with increasing life expectancy and what factors are associated with these trends in the recent decades? Is it possible to realize morbidity compression with a prolongation of the life span in the future?The first section of the book presents the CLHLS project’s study design, sample distribution, contents of data collected, and assessments of age reporting and data quality. The remaining chapters are grouped into sections dealing with the demographic, social, economic, familial and psychological dimensions of healthy longevity.
Handbook of Multilevel Analysis
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data. This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field.
GUI design for android apps
GUI Design for Android Apps is the perfect—and concise—introduction for mobile app developers and designers. Through easy-to-follow tutorials, code samples, and case studies, the book shows the must-know principles for user-interface design for Android apps running on the Intel platform, including smartphones, tablets and embedded devices.
