Catálogo de publicaciones

Introduction to Plasmas and Plasma Dynamics provides an accessible introduction to the understanding of high temperature, ionized gases necessary to conduct research and develop applications related to plasmas. While standard presentations of introductory material emphasize physics  and the theoretical basis of the topics, this text acquaints the reader with the context of the basic information and presents the fundamental knowledge required for advanced work or study.

The book relates theory to relevant devices and mechanisms, presenting a clear outline of analysis and mathematical detail; it highlights the significance of the concepts with reviews of recent applications and trends in plasma engineering, including topics of plasma formation and magnetic fusion, plasma thrusters and space propulsion.

• Presents the essential principles of plasma dynamics needed for effective research and development work in plasma applications
• Emphasizes physical understanding and supporting theoretical foundation with reference to  their utilization in devices,  mechanisms and phenomena
• Covers a range of applications, including energy conversion, space propulsion, magnetic fusion, and space physics.

Introduction to Protein Mass Spectrometry provides a comprehensive overview of this increasingly important, yet complex, analytical technique. Unlike many other methods which automatically yield an absolutely unique protein name as output, protein mass spectrometry generally requires a deduction of protein identity from determination of peptide fragmentation products.

This book enables readers to both understand, and appreciate, how determinations about protein identity from mass spectrometric data are made. Coverage begins with the technical basics, including preparations, instruments, and spectrometric analysis of peptides and proteins, before exploring applied use in biological applications, bioinformatics, database, and software resources.

Citing the most recent and relevant work in the field of biological mass spectrometry, the book is written for researchers and scientists new to the field, but is also an ideal resource for those hoping to hone their analytical abilities.

• Offers introductory information for scientists and researchers new to the field, as well as advanced insight into the critical assessment of computer-analyzed mass spectrometric results and their current limitations
• Provides examples of commonly-used MS instruments from Bruker, Applied Biosystems, JEOL, Thermo Scientific/Thermo Fisher Scientific, IU, and Waters
• Includes biological applications and exploration of analytical tools and databases for bioinformatics

The study of Quantitative EEGs and Neurofeedback offer a window into brain physiology and function via computer and statistical analyses, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior. Resources for understanding what QEEG and Neurofeedback is, how they are used, and to what disorders and patients they can be applied are scarce, and this volume serves as an ideal tool for clinical researchers and practicing clinicians, providing a broad overview of the most interesting topics relating to the techniques. The revised coverage of advancements, new applications (e.g. Aspberger's, music therapy, LORETA, etc.), and combinations of prior approaches make the second edition a necessary companion to the first. The top scholars in the field have been enlisted and contributions will offer both the breadth needed for an introductory scholar and the depth desired by a clinical professional.

*Detailed new protocols for treatment of anxiety, depression, ADHD, and PTSD
*Newest protocol in Z-score training enables clinicians to extend their practices
*LORETA diagnostic tool lets the clinician watch for changes deep in the brain through working with surface EEG patterns

Bridge the gap between research and practice with Introduction to Research: Understanding and Applying Multiple Strategies, 5th Edition. This easy-to-read edition covers all the major research design strategies: qualitative, quantitative, naturalistic, experimental-type, and mixed method. And with the text’s up-to-date research information and references, you will have a solid foundation from which to critique and understand research designs and their applications to healthcare and human service settings.

If you’re interested in using social media as an investigative tool, Introduction to Social Media Investigation will show you how! Social networks and social media, like Facebook, Twitter, and Foursquare, are some of the most popular services on the Web, with hundreds of millions of users. The public information that people share on these sites can be valuable for anyone interested in investigating people of interest through open, public sources.

Social media as an investigative device is in its infancy and not well understood. This book presents an overview of social media and discusses special skills and techniques to use when conducting investigations. The book features hands-on tutorials and case studies and offers additional data-gathering techniques.

• Presents an overview of social media sites, information types, privacy policies, and other general issues relevant to investigating individuals online
• Discusses the special skills and techniques needed when conducting investigations using social media
• Includes hands-on tutorials and case studies using Facebook, LinkedIn, Twitter, and other social media sites using proven investigative techniques
• Shows how to gather additional data using advanced techniques such as crowdsourcing, data mining, and network analysis

This textbook is specifically tailored for undergraduate engineering courses offered in the junior year, providing a thorough understanding of solid state electronics without relying on the prerequisites of quantum mechanics. In contrast to most solid state electronics texts currently available, with their generalized treatments of the same topics, this is the first text to focus exclusively and in meaningful detail on introductory material. The original text has already been in use for 10 years. In this new edition, additional problems have been added at the end of most chapters. These problems are meant not only to review the material covered in the chapter, but also to introduce some aspects not covered in the text.

An amended Solutions Manual is in preparation.

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials.

Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks.

• Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus.
• Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning.
• Includes MATLAB/Octave programs so that readers can test the algorithms numerically and acquire both mathematical and practical skills in a wide range of data analysis tasks
• Discusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials.

Introduction to the Modelling of Marine Ecosystems, Second Edition provides foundational information on the construction of chemical and biological models – from simple cases to more complex biogeochemical models and life cycle resolving model components. This step-by-step approach to increasing the complexity of the models allows readers to explore the theoretical framework and become familiar with the models even when they have limited experience in mathematical modeling. Introduction to the Modelling of Marine Ecosystems shows how biological model components can be integrated into three dimensional circulation models and how such models can be used for numerical experiments.

• Covers the marine food web from nutrients, phytoplankton to higher trophic levels
• Presents information on the response of marine systems to external pressures as seen in physical biological models
• Provides an extended discussion of unifying theoretical concepts and of physical biological interaction
• Covers higher trophic levels, in particular multi-species fish models and their interaction with the biogeochemical models
• Offers MATLAB scripts on a companion website for many of the described example models to facilitate reproduction of the findings in the book and guide reader to writing own code

Revised and updated, Royce's Introduction to the Practice of Fishery Science is a classic text. With a new chapter on aquaculture, this book provides the background for a first course in fishery science. Intentionally focused on the practical and professional requirements of careers in the management and maintenance of fisheries, this text will be useful to students as well as to established professionals.