Cell culture based research is important for our understanding of biological processes at the cellular and molecular level. Using this approach, the previous decades have produced a wealth of mechanistic information in all areas of biomedical research. Such in vitro research, however, lacks the complexity of in vivo investigations, where many different cell types interact with each other in a normal, three-dimensional environment, with normal levels of cytokines and growth factors. Furthermore, complex human diseases, such as cancer, diabetes or chronic inflammation, can only be modeled in vivo. Due to its small size, its short reproduction time, and the possibility to introduce specific gene mutations, the mouse has become the favourite mammalian model organism to study in vivo function of genes during development and in disease. This book combines review articles on selected subjects presented at the symposium "Mouse as a Model Organism -- From Animals to Cells", held in Rovaniemi, Finland, 2009. Among other topics, high-throughput phenotyping of mouse mutants, mouse phenotypes dependent on nature and nuture, and a spectrum of in vivo, ex vivo and in vitro methods to study cancer in mice are described. This book will give an excellent introduction to scientists interested in the use of mice as a model to understand complex biological questions in the post-genomic era. It will highlight the possibilities, but also discuss the current problems and shortcomings, to give a realistic view of the current state-of-art in this fascinating field of biomedical research.
Whilst recovering from a canoeing accident in the South of France, and with a promising professional swimming career in tatters, 16 year-old Marion sees an advert that will change her life: Icon models are holding a contest. She enters, gets whipped into shape by militant stylists, cross-dressing walking experts and chain-smoking make-up artists and manages to win a modelling contract. But when she arrives in Paris to begin modelling, her glamorous ideas are quickly dispelled. She becomes indebted to the agency and struggles to get her first break. Based on true events, A Model Life follows Marion's career as she climbs up the modelling food-chain, from dealing with pervy photographers in Paris to trudging through snow to castings in New York, from Armani to Playboy Marion has seen it all. This book is a must for anyone who wants to know what modelling is really like... The real Marion has enjoyed an international modelling career for over 15 years, including haute couture shows, designer campaigns and TV commercial work.
This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students and as a reference for independent researchers. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.In this book the authors present Bayesian methods of analysis for nonlinear, hierarchical mixture models, with a finite, but possibly unknown, number of components. These methods are then applied to various problems including population pharmacokinetics and gene expression analysis. In population pharmacokinetics, the nonlinear mixture model, based on previous clinical data, becomes the prior distribution for individual therapy. For gene expression data, one application included in the book is to determine which genes should be associated with the same component of the mixture (also known as a clustering problem). The book also contains examples of computer programs written in BUGS. This is the first book of its kind to cover many of the topics in this field.
A person who is overweight is a candidate to be uncomfortable most of the time. Yet, for many folks, losing weight is tough rode to hoe even when you are aware of the positive health benefits involved. On the other hand starving yourself can even be more problematic. High cholesterol, high blood pressure as well as prediabetes are facts that nobody looks forward to having. But some simple changes in your lifestyle to lose weight like having a positive plan, watching your diet and exercising on a regular basis can pretty much eliminate the three "troublemakers" listed above; try it!
Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.
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