Being sixty, you are supposed to be funny, witty, exciting, and full of surprises! This is your time to shine. The reason we dont know what sixty looks like is because we are too busy counting numbers. Stop counting and get yourself in shape. Girls, it is never too late to get it right! I feel better at age sixty than I did at age thirty! Why is this? I can attribute this to envisioning what I wanted to look like. Think beauty, fit, and young at heart and you forget all about the number. Girls, you are on the way, so start applying the IYP (Investigate Your Plate) system and the choices will get better as you go along!
Being sixty, you are supposed to be funny, witty, exciting, and full of surprises! This is your time to shine. The reason we don't know what sixty looks like is because we are too busy counting numbers. Stop counting and get yourself in shape. Girls, it is never too late to get it right! I feel better at age sixty than I did at age thirty! Why is this? I can attribute this to envisioning what I wanted to look like. Think beauty, fit, and young at heart and you forget all about the number. Girls, you are on the way, so start applying the IYP (Investigate Your Plate) system and the choices will get better as you go along!
Broad perspective on collectivity in the life sciences, from microorganisms to human consensus, and the theoretical and empirical opportunities and challenges. Many researchers and scholars in the life sciences have become increasingly critical of the traditional methodological focus on the individual. This volume counters such methodological individualism by exploring recent and influential work in the life sciences that utilizes notions of collectivity, sociality, rich interactions, and emergent phenomena as essential explanatory tools to handle numerous persistent scientific questions in the life sciences. The contributors consider case studies of collectivity that range from microorganisms to human consensus, discussing theoretical and empirical challenges and the innovative methods and solutions scientists have devised. The contributors offer historical, philosophical, and biological perspectives on collectivity, and describe collective phenomena seen in insects, the immune system, communication, and human collectivity, with examples ranging from cooperative transport in the longhorn crazy ant to the evolution of autobiographical memory. They examine ways of explaining collectivity, including case studies and modeling approaches, and explore collectivity's explanatory power. They present a comprehensive look at a specific case of collectivity: the Holobiont notion (the idea of a multi-species collective, a host and diverse microorganisms) and the hologenome theory (which posits that the holobiont and its hologenome are a unit of adaption). The volume concludes with reflections on the work of the late physicist Eshel Ben-Jacob, pioneer in the study of collective phenomena in living systems. Contributors Oren Bader, John Beatty, Dinah R. Davison, Daniel Dor, Ofer Feinerman, Raghavendra Gadagkar, Scott F. Gilbert, Snait B. Gissis, Deborah M. Gordon, James Griesemer, Zachariah I. Grochau-Wright, Erik R. Hanschen, Eva Jablonka, Mohit Kumar Jolly, Anat Kolumbus, Ehud Lamm, Herbert Levine, Arnon Levy, Xue-Fei Li, Elisabeth A. Lloyd, Yael Lubin, Eva Maria Luef, Ehud Meron, Richard E. Michod, Samir Okasha, Simone Pika, Joan Roughgarden, Eugene Rosenberg, Ayelet Shavit, Yael Silver, Alfred I. Tauber, Ilana Zilber-Rosenberg
First Prize in the Paediatrics category at the British Medical Association Book Awards 2009 Rehearse for life in clinical practice with this easy-to-use and unique series, which combines cases drawn from real-life experiences with a refreshing approach to presentations as you would see them in day-to-day situations. Get the most from clinical practice, with Clinical Cases Uncovered Guiding you through paediatrics, Clinical Cases Uncovered presents real-life problems which you can work through and improve on time and again. Each case looks at a different child, from premature infant to teenager, with acute or long-term problems. Presentations reflect common primary care and hospital-based practice and will give you a detailed insight into how children with a wide variety of problems can be assessed and managed. The first section covers essential paediatric basics, then looks at common disorders and useful pointers. There is a section on practical assessment of children, helping you adapt your skills for the age of the child and the presenting problem. The helpful self-assessment section then lets you test all you have learnt and makes for great revision. For further information, visit www.clinicalcasesuncovered.com
Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multivariable models from measured input-output data. The theory of subspace identification algorithms is presented in detail. Several chapters are devoted to deterministic, stochastic and combined deterministic-stochastic subspace identification algorithms. For each case, the geometric properties are stated in a main 'subspace' Theorem. Relations to existing algorithms and literature are explored, as are the interconnections between different subspace algorithms. The subspace identification theory is linked to the theory of frequency weighted model reduction, which leads to new interpretations and insights. The implementation of subspace identification algorithms is discussed in terms of the robust and computationally efficient RQ and singular value decompositions, which are well-established algorithms from numerical linear algebra. The algorithms are implemented in combination with a whole set of classical identification algorithms, processing and validation tools in Xmath's ISID, a commercially available graphical user interface toolbox. The basic subspace algorithms in the book are also implemented in a set of Matlab files accompanying the book. An application of ISID to an industrial glass tube manufacturing process is presented in detail, illustrating the power and user-friendliness of the subspace identification algorithms and of their implementation in ISID. The identified model allows for an optimal control of the process, leading to a significant enhancement of the production quality. The applicability of subspace identification algorithms in industry is further illustrated with the application of the Matlab files to ten practical problems. Since all necessary data and Matlab files are included, the reader can easily step through these applications, and thus get more insight in the algorithms. Subspace Identification for Linear Systems is an important reference for all researchers in system theory, control theory, signal processing, automization, mechatronics, chemical, electrical, mechanical and aeronautical engineering.
