Peter Jazwinski's Books

Act Now!

A Step-by-Step Guide to Becoming a Working Actor

By: Peter Jazwinski

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Act Now!

A Step-by-Step Guide to Becoming a Working Actor

By: Peter Jazwinski

So, you want to be an actor . . . but you have no idea how to get started. In the pages of Act Now!, you’ll find a step-by-step process to show you not only how to get started, but also how to become a working actor. It will take time and commitment, but if you follow these steps you will find success. Author and acting teacher Peter Jazwinski explains every aspect of becoming an actor from start to finish. You’ll learn about: • Improving Your Acting Skills • How Actors Get Cast • Finding Auditions on Your Own • Working with an Agent or Manager—and What the Difference Is • The Importance of Networking • And More! A frank and encouraging game plan for success, Act Now! will empower those who have the drive to stop dreaming and start making a living—as an actor.

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284

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Crown

Published Date

ISBN 10

1400048621

ISBN 13

9781400048625

Act Now!

A Step-by-Step Guide to Becoming a Working Actor

By: Peter Jazwinski

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Act Now!

A Step-by-Step Guide to Becoming a Working Actor

By: Peter Jazwinski

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284

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Crown Archetype

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ISBN 10

030741972X

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9780307419729

Recursive Estimation and Time-Series Analysis

An Introduction

By: Peter C. Young

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Recursive Estimation and Time-Series Analysis

An Introduction

By: Peter C. Young

This book has grown out of a set of lecture notes prepared originally for a NATO Summer School on "The Theory and Practice of Systems ModelLing and Identification" held between the 17th and 28th July, 1972 at the Ecole Nationale Superieure de L'Aeronautique et de L'Espace. Since this time I have given similar lecture courses in the Control Division of the Engineering Department, University of Cambridge; Department of Mechanical Engineering, University of Western Australia; the University of Ghent, Belgium (during the time I held the IBM Visiting Chair in Simulation for the month of January, 1980), the Australian National University, and the Agricultural University, Wageningen, the Netherlands. As a result, I am grateful to all the reci pients of these lecture courses for their help in refining the book to its present form; it is still far from perfect but I hope that it will help the student to become acquainted with the interesting and practically useful concept of recursive estimation. Furthermore, I hope it will stimulate the reader to further study the theoretical aspects of the subject, which are not dealt with in detail in the present text. The book is primarily intended to provide an introductory set of lecture notes on the subject of recursive estimation to undergraduate/Masters students. However, the book can also be considered as a "theoretical background" handbook for use with the CAPTAIN Computer Package.

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315

Publisher

Springer Science & Business Media

Published Date

ISBN 10

364282336X

ISBN 13

9783642823367

Robotics, Vision and Control

Fundamental Algorithms in MATLAB®

By: Peter Corke,Witold Jachimczyk,Remo Pillat

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Robotics, Vision and Control

Fundamental Algorithms in MATLAB®

By: Peter Corke,Witold Jachimczyk,Remo Pillat

This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on MATLAB® and a number of MathWorks® toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision. These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student, the book makes the algorithms accessible, the toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on toolbox functions. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows.

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833

Publisher

Springer Nature

Published Date

ISBN 10

3031072626

ISBN 13

9783031072628

Robotics and Control

Fundamental Algorithms in MATLAB®

By: Peter Corke

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Robotics and Control

Fundamental Algorithms in MATLAB®

By: Peter Corke

This textbook offers a tutorial introduction to robotics and control which is light and easy to absorb. The practice of robotics and control both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and control a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly: How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provides a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and control separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and control. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, and covers both mobile robots (control, path planning, navigation, localization and SLAM) and arm robots (forward and inverse kinematics, Jacobians, dynamics and joint level control). “An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!” Oussama Khatib, Stanford

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364

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Springer Nature

Published Date

ISBN 10

3030791793

ISBN 13

9783030791797

Stochastic Modelling in Physical Oceanography

By: Robert Adler,Peter Müller,B.L. Rozovskii

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Stochastic Modelling in Physical Oceanography

By: Robert Adler,Peter Müller,B.L. Rozovskii

The study of the ocean is almost as old as the history of mankind itself. When the first seafarers set out in their primitive ships they had to understand, as best they could, tides and currents, eddies and vortices, for lack of understanding often led to loss of live. These primitive oceanographers were, of course, primarily statisticians. They collected what empirical data they could, and passed it down, ini tially by word of mouth, to their descendants. Data collection continued throughout the millenia, and although data bases became larger, more re liable, and better codified, it was not really until surprisingly recently that mankind began to try to understand the physics behind these data, and, shortly afterwards, to attempt to model it. The basic modelling tool of physical oceanography is, today, the partial differential equation. Somehow, we all 'know" that if only we could find the right set of equations, with the right initial and boundary conditions, then we could solve the mysteries of ocean dynamics once and for all.

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473

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Springer Science & Business Media

Published Date

ISBN 10

1461224306

ISBN 13

9781461224303

Nonlinear Data Assimilation

By: Peter Jan Van Leeuwen,Yuan Cheng,Sebastian Reich

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Nonlinear Data Assimilation

By: Peter Jan Van Leeuwen,Yuan Cheng,Sebastian Reich

This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.

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130

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Springer

Published Date

ISBN 10

3319183478

ISBN 13

9783319183473

Data Assimilation Fundamentals

A Unified Formulation of the State and Parameter Estimation Problem

By: Geir Evensen,Femke C. Vossepoel,Peter Jan van Leeuwen

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Data Assimilation Fundamentals

A Unified Formulation of the State and Parameter Estimation Problem

By: Geir Evensen,Femke C. Vossepoel,Peter Jan van Leeuwen

This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods. This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method. E.g., the derivation of the Kalman Filter from control theory and the derivation of the ensemble Kalman Filter as a low-rank approximation of the standard Kalman Filter. The bottom-up approach derives the assimilation methods from different mathematical principles, making it difficult to compare them. Thus, it is unclear which assumptions are made to derive an assimilation method and sometimes even which problem it aspires to solve. The book's top-down approach allows categorizing data-assimilation methods based on the approximations used. This approach enables the user to choose the most suitable method for a particular problem or application. Have you ever wondered about the difference between the ensemble 4DVar and the "ensemble randomized likelihood" (EnRML) methods? Do you know the differences between the ensemble smoother and the ensemble-Kalman smoother? Would you like to understand how a particle flow is related to a particle filter? In this book, we will provide clear answers to several such questions. The book provides the basis for an advanced course in data assimilation. It focuses on the unified derivation of the methods and illustrates their properties on multiple examples. It is suitable for graduate students, post-docs, scientists, and practitioners working in data assimilation.

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251

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Springer Nature

Published Date

ISBN 10

3030967093

ISBN 13

9783030967093

Applied Mathematics for the Analysis of Biomedical Data

Models, Methods, and MATLAB

By: Peter J. Costa

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Applied Mathematics for the Analysis of Biomedical Data

Models, Methods, and MATLAB

By: Peter J. Costa

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models and scientific computing methods to provide insight into the behavior of biological systems. The author draws upon his experience in academia, industry, and government–sponsored research as well as his expertise in MATLAB to produce a suite of computer programs with applications in epidemiology, machine learning, and biostatistics. These models are derived from real–world data and concerns. Among the topics included are the spread of infectious disease (HIV/AIDS) through a population, statistical pattern recognition methods to determine the presence of disease in a diagnostic sample, and the fundamentals of hypothesis testing. In addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well-developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s technical merit and value to industry professionals. Through numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for the development of mathematical models, algorithms, and the corresponding computer code. In addition, the book features: Real–world computational procedures that can be readily applied to similar problems without the need for keen mathematical acumen Clear delineation of topics to accelerate access to data analysis Access to a book companion website containing the MATLAB toolbox created for this book, as well as a Solutions Manual with solutions to selected exercises Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® is an excellent textbook for students in mathematics, biostatistics, the life and social sciences, and quantitative, computational, and mathematical biology. This book is also an ideal reference for industrial scientists, biostatisticians, product development scientists, and practitioners who use mathematical models of biological systems in biomedical research, medical device development, and pharmaceutical submissions.

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449

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119269504

ISBN 13

9781119269502

Cosmology and Gravitation

Spin, Torsion, Rotation, and Supergravity

By: Peter G. Bergmann,Venzo De Sabbata

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Cosmology and Gravitation

Spin, Torsion, Rotation, and Supergravity

By: Peter G. Bergmann,Venzo De Sabbata

For the Sixth Course of the International School of Cosmology and Gravitation of the "Ettore Maj orana" Centre for Scientific Cul ture we choose as the principal topics torsion and supergravity, because in our opinion it is one of the principal tasks of today's theoretical physics to attempt to link together the theory of ele mentary particles and general relativity. Our aim was to delineate the present status of the principal efforts directed toward this end, and to explore possible directions of work in the near future. Efforts to incorporate spin as a dynamic variable into the foundations of the theory of gravitation were poineered by E. Cartan, whose contributions to this problem go back half a century. Accord ing to A. Trautman this so-called Einstein-Cartan theory is the sim plest and most natural modification of Einstein's 1916 theory. F. Hehl has contributed a very detailed and comprehensive analysis of this topic, original view of non-Riemannian space-time. Characteristic of Einstein-Cartan theories is the enrichment of Riemannian geometry by torsion, the non-symmetric part of the otherwise metric-compatible affine connection. Torsion has a impact on the theory of elementary particles. According to V. de Sabbata, weak interactions can be based on the Einstein-Cartan geometry, in that the Lagrangian describing weak interactions and torsion inter- action possess analogous structures, leading to a unification of weak and gravitational forces.

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508

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461331234

ISBN 13

9781461331230

Numerical Solution of Stochastic Differential Equations

By: Peter E. Kloeden,Eckhard Platen

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Numerical Solution of Stochastic Differential Equations

By: Peter E. Kloeden,Eckhard Platen

The numerical analysis of stochastic differential equations (SDEs) differs significantly from that of ordinary differential equations. This book provides an easily accessible introduction to SDEs, their applications and the numerical methods to solve such equations. From the reviews: "The authors draw upon their own research and experiences in obviously many disciplines... considerable time has obviously been spent writing this in the simplest language possible." --ZAMP

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Page Count

666

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3662126168

ISBN 13

9783662126165

Foundry Technology

By: Peter Beeley

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Foundry Technology

By: Peter Beeley

Foundry Technology brings together basic metal casting phenomena, foundry techniques and product characteristics in a single work of reference. Peter Beeley was a foundry manager before he became a senior lecturer in metallurgy, and subsequently maintained continuous links with the castings industry and associated research activities and publications. His book is designed to serve as a bridge between the study of the basic principles of metal founding and their application in the producing and user industries. A particular aim of Foundry Technology is to assist engineers and engineering students in appreciating the role of castings in design and materials selection. Orthodox and specialized casting processes, and both ferrous and non-ferrous founding are considered on a comparative basis, and the place of castings in design is critically examined and related to other products. The revised edition takes account of the main changes in casting processes and products since the publication of the original edition in 1972. While retaining treatments of basic aspects of molding, solidification, cast structures and feeding, newer developments in modeling and rapid prototyping are reviewed, together with quality, environmental, health and other issues of growing importance. - New edition of well-known book - Fully updated with latest technology

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731

Publisher

Elsevier

Published Date

ISBN 10

0080506895

ISBN 13

9780080506890

The Harvey Lectures Series 94, 1998-1999

By: Mark M. Davis,Elaine Fuchs,Tony Hunter,Lily Yeh Jan,Yuh Nung Jan,Peter G. Schultz,Paul B. Sigler,David J. Weatherall

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The Harvey Lectures Series 94, 1998-1999

By: Mark M. Davis,Elaine Fuchs,Tony Hunter,Lily Yeh Jan,Yuh Nung Jan,Peter G. Schultz,Paul B. Sigler,David J. Weatherall

The Harvey Society was founded in 1905 by thirteen New York scientists and physicians with the purpose of forging a "closer relationship between the purely practical side of medicine and the results of laboratory investigation." The Society distributes scientific knowledge in selected areas of anatomy, physiology, pathology, bacteriology, pharmacology, and physiological and pathological chemistry through public lectures, which are published annually. Series 94, 1998-1999 covers themes in neurogenetic studies, the role of tyrosine phosphorylation in cell growth and disease, the biology of the epidermis and its appendages, and the phenotypic diversity of monogenic disease.

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184

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471401250

ISBN 13

9780471401254

Prognostics and Remaining Useful Life (RUL) Estimation

Predicting with Confidence

By: Diego Galar,Kai Goebel,Peter Sandborn,Uday Kumar

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Prognostics and Remaining Useful Life (RUL) Estimation

Predicting with Confidence

By: Diego Galar,Kai Goebel,Peter Sandborn,Uday Kumar

Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies. FEATURES Presents a compendium of RUL estimation methods and technologies used in predictive maintenance Describes different approaches and prognosis methods for different assets Includes a comprehensive compilation of methods from model-based and data-driven to hybrid Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected Contains a toolset of methods and a way of deployment aimed at a versatile audience This book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.

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491

Publisher

CRC Press

Published Date

ISBN 10

1000518264

ISBN 13

9781000518269

Prevention and Management of Cardiovascular and Metabolic Disease

Diet, Physical Activity and Healthy Aging

By: Peter Kokkinos,Christina N. Katsagoni,Labros S. Sidossis

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Prevention and Management of Cardiovascular and Metabolic Disease

Diet, Physical Activity and Healthy Aging

By: Peter Kokkinos,Christina N. Katsagoni,Labros S. Sidossis

Prevention and Management of Cardiovascular and Metabolic Disease Provides accurate and well-documented information on the impact of diet and physical activity in the prevention and management of cardiovascular and metabolic diseases and healthy aging. This authoritative textbook examines the independent and combined impact of diet and physical activity in the prevention and management of cardiovascular and metabolic diseases, with special emphasis on the elderly populations. In this book the authors: Provide the latest data on the association between a suboptimal diet and physical inactivity and chronic disease. Examine the role of epigenetics on longevity. Discuss the fundamentals of healthy aging. Highlight the role of well-known dietary patterns such as the Mediterranean diet and the Nordic diet in favorable health outcomes, including cardiovascular, metabolic health, and healthy aging. Discuss the health outcomes of physical activity and healthy aging. Present the most recent evidence-based data on the independent and synergistic impact of diet and exercise on disease prevention and management including, heart disease, diabetes mellitus, hypertension, dyslipidemia, kidney failure, cancer and other conditions. Prevention and Management of Cardiovascular and Metabolic Disease: Diet, Physical Activity and Healthy Aging is an excellent textbook for upper-level undergraduate and graduate students in medical and health-related disciplines and for health professionals, including dietitians and nutritionists, exercise physiologists, athletic trainers, nurses, physicians, geriatricians, and other health professionals with a special focus in older adults. This book is also a highly useful reference for health professionals interested in introducing diet and physical activity as an intervention for healthy aging as well as the prevention and management of cardiovascular and other metabolic diseases that are prevalent in aging populations.

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Page Count

421

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119833442

ISBN 13

9781119833444

True Digital Control

Statistical Modelling and Non-Minimal State Space Design

By: C. James Taylor,Peter C. Young,Arun Chotai

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True Digital Control

Statistical Modelling and Non-Minimal State Space Design

By: C. James Taylor,Peter C. Young,Arun Chotai

True Digital Control: Statistical Modelling andNon–Minimal State Space Designdevelops a true digitalcontrol design philosophy that encompasses data–basedmodel identification, through to control algorithm design,robustness evaluation and implementation. With a heritage from bothclassical and modern control system synthesis, this book issupported by detailed practical examples based on theauthors’ research into environmental, mechatronic and roboticsystems. Treatment of both statistical modelling and control designunder one cover is unusual and highlights the important connectionsbetween these disciplines. Starting from the ubiquitous proportional–integralcontroller, and with essential concepts such as pole assignmentintroduced using straightforward algebra and block diagrams, thisbook addresses the needs of those students, researchers andengineers, who would like to advance their knowledge of controltheory and practice into the state space domain; and academics whoare interested to learn more about non–minimal state variablefeedback control systems. Such non–minimal state feedback isutilised as a unifying framework for generalised digital controlsystem design. This approach provides a gentle learning curve, fromwhich potentially difficult topics, such as optimal, stochastic andmultivariable control, can be introduced and assimilated in aninteresting and straightforward manner. Key features: Covers both system identification and control systemdesign in a unified manner Includes practical design case studies and simulationexamples Considers recent research into time–variable andstate–dependent parameter modelling and control, essentialelements of adaptive and nonlinear control system design, and thedelta–operator (the discrete–time equivalent of thedifferential operator) systems Accompanied by a website hosting MATLAB examples True Digital Control: Statistical Modelling andNon–Minimal State Space Design is a comprehensive andpractical guide for students and professionals who wish to furthertheir knowledge in the areas of modern control and systemidentification.

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Page Count

360

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118535510

ISBN 13

9781118535516

A Practical Guide to Supramolecular Chemistry

By: Peter J. Cragg

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A Practical Guide to Supramolecular Chemistry

By: Peter J. Cragg

A Practical Guide to Supramolecular Chemistry is an introductory manual of practical experiments for chemists with little or no prior experience of supramolecular chemistry. Syntheses are clearly presented to facilitate the preparation of acyclic and macrocyclic compounds frequently encountered in supramolecular chemistry using straightforward experimental procedures. Many of the compounds can be used to illustrate classic supramolecular phenomena, for which clear directions are given, or may be developed further as part of the reader's own research. The book also describes techniques commonly used in the analysis of supramolecular behaviour, including computational methods, with many detailed examples. An invaluable reference for students and researchers in the field embarking on supramolecular chemistry projects and looking for a 'tried and tested' route into the chemistry of key compounds. An introductory guide to practical syntheses focusing on supramolecular chemistry. Fully referenced introductions explain the historical and contemporary importance of each compound Supplementary website including 3D molecular structures, FAQ's about syntheses and suggestions for further experiments

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230

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John Wiley & Sons

Published Date

ISBN 10

0470866543

ISBN 13

9780470866542

Robotic Vision

Fundamental Algorithms in MATLAB®

By: Peter Corke

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Robotic Vision

Fundamental Algorithms in MATLAB®

By: Peter Corke

This textbook offers a tutorial introduction to robotics and Computer Vision which is light and easy to absorb. The practice of robotic vision involves the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly: How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals light and color, camera modelling, image processing, feature extraction and multi-view geometry, and bring it all together in a visual servo system. “An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished Oussama Khatib, Stanford

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Page Count

412

Publisher

Springer Nature

Published Date

ISBN 10

3030791750

ISBN 13

9783030791759

Aging Research in Yeast

By: Michael Breitenbach,S. Michal Jazwinski,Peter Laun

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Aging Research in Yeast

By: Michael Breitenbach,S. Michal Jazwinski,Peter Laun

This volume includes contributions by the leading experts in the field of yeast aging. Budding yeast (Saccharomyces cerevisiae) and other fungal organisms provide models for aging research that are relevant to organismic aging and to the aging processes occurring in the human body. Replicative aging, in which only the mother cell ages while the daughter cell resets the clock to zero is a model for the aging of stem cell populations in humans, while chronological aging (measured by survival in stationary phase) is a model for the aging processes in postmitotic cells (for instance, neurons of the brain). Most mechanisms of aging are studied in yeast. Among them, this book discusses: mitochondrial theories of aging, emphasizing oxidative stress and retrograde responses; the role of autophagy and mitophagy; the relationship of apoptosis to aging processes; the role of asymmetric segregation of damage in replicative aging; the role of replication stress; and the role of the cytoskeleton in aging. Modern methods of yeast genetics and genomics are described that can be used to search for aging-specific functions in a genome-wide unbiased fashion. The similarities in the pathology of senescence (studied in yeast) and of cancer cells, including genome instability, are examined.

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Page Count

373

Publisher

Springer Science & Business Media

Published Date

ISBN 10

9400725612

ISBN 13

9789400725614

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