With a variety of detection chemistries, an increasing number of platforms, multiple choices for analytical methods and the jargon emerging along with these developments, real-time PCR is facing the risk of becoming an intimidating method, especially for beginners. Real-time PCR provides the basics, explains how they are exploited to run a real-time PCR assay, how the assays are run and where these assays are informative in real life. It addresses the most practical aspects of the techniques with the emphasis on 'how to do it in the laboratory'. Keeping with the spirit of the Advanced Methods Series, most chapters provide an experimental protocol as an example of a specific assay.

Real-time PCR (Advanced Methods)

Science & Math

Biological Sciences

Routlegde

What can architects, landscape architects and urban designers do to make urban open spaces, streets and squares, more responsive, lively and safe?  Urban Sustainability through Environmental Design answers this question by providing the analytical tools and practical methodologies that can be employed for sustainable solutions to the design and management of urban environments. The book calls into question the capability of ‘quick-fix’ development solutions to provide the establishment of fixed communities and suggests a more time-conscious and evolutionary approach.  This is the first significant book to draw together a pan-European view on sustainable urban design with a specific focus on social sustainability. It presents an innovative approach that focuses on the tools of urban analysis rather than the interventions themselves. With its practical approach and wide-ranging discussion, this book will appeal to all those involved in producing communities and spaces for sustainable living, from students to academics through to decision makers and professional leaders.

Urban Sustainability Through Environmental Design

Politics & Social Sciences

Social Sciences

Category Specificity in Brain and Mind (Brain, Behaviour and Cognition)

Some of the most fascinating deficits in neuropsychology concern the failure to recognise common objects from one semantic category, such as living things, when there is no such difficulty with objects from another, such as non-living things. Over the past twenty years, numerous cases of these 'category specific' recognition and naming problems have been documented and several competing theories have been developed to account for the patients' disorders. Category Specificity in Brain and Mind draws together the neuropsychological literature on category-specific impairments, with research on how children develop knowledge about different categories, functional brain imaging work and computational models of object recognition and semantic memory. The chapters are written by internationally leading psychologists and neuroscientists and the result is a review of the most up-to-date thinking on how knowledge about different categories is acquired and organized in the mind, and where it is represented in the human brain. The text will be essential reading for advanced undergraduates and researchers in the field of category specificity and a rich source of information for neuropsychologists, experimental and developmental psychologists, cognitive scientists and philosophers.

Health, Fitness & Dieting

Psychology & Counseling

Lynn Robertson has been studying how brain lesions affect spatial abilities for over 20 years, and her work has revealed some surprising facts about space and its role in visual perception.  In this book she combines evidence collected in her laboratory with findings from others to explore the cognitive and neural basis of spatial representations and their contributions to spatial awareness, object formation, attention, and binding.

Space, Objects, Minds and Brains (Essays in Cognitive Psychology)

Robertson, Lynn C. C.

Over the past forty years much work has assessed how attention modulates perception, but relatively little work has evaluated the role of attention in action. This is despite the fact that recent research indicates that the relation between attention and action is a crucial factor in human performance. Attention in Action provides state-of-the-art discussion of the role of attention in action and of action in constraining attention. The research takes an interdisciplinary approach covering experimental studies of attention and action, neuropsychological studies of patients with impaired action and attention, single cell studies of cross-modal links in attention and action, and brain imaging studies on the underlying neural circuitry. Contributions from prominent international researchers both review the field and present new evidence, making this book an invaluable resource for researchers and therapists alike.

Attention in Action (Advances in Behavioural Brain Science)

Collects twenty five classic articles in visual perception, the articles span a century and include examples from disciplines that contribute to our current understanding of vision. Discussion questions and further reading suggestions follow.

Visual Perception (Key Readings In Cognition)

Mental Health

Extraordinary Memories for Exceptional Events (Essays in Cognitive Psychology)

Not all memories are created equal. Our memories for some very exceptional events seem to stand out in our minds, and as such they may form the very core of who we are. Perhaps you have a vivid recollection of a fateful day, an unforgettable face, or a hilarious joke. This book summarizes theories and data that provide insight into these extraordinary memories for exceptional events. The book begins with a classification scheme for exceptional events, followed by a theoretical overview grounded in four metaphors of memory. The classification scheme and theoretical perspectives are used to explore topics including: flashbulb memories, the influence of emotion on memory, the bizarre imagery effect, the humor effect, the serial position effect, and the isolation effect. The conclusion provides a framework for understanding these outstanding memories for exceptional events.

Humor & Entertainment

Schmidt, Stephen R.

Humor

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches.  The book presents numerous techniques, algorithms, and models. It describes neural networks, evolutionary optimization techniques, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a reinforcement learning-based multistage image segmentation algorithm, a machine learning approach, Monte Carlo simulations, and intelligent, deformable models. The contributors discuss how these techniques are used to classify wound images, extract the boundaries of skin lesions, analyze prostate cancer, handle the inherent uncertainties in mammographic images, and encapsulate the natural intersubject anatomical variance in medical images. They also examine prostate segmentation in transrectal ultrasound images, automatic segmentation and diagnosis of bone scintigraphy, 3-D medical image segmentation, and the reconstruction of SPECT and PET tomographic images.

Computational Intelligence in Medical Imaging

Computers & Technology

Computer Science

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues. One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice. This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website.

Digital Image Processing (Chapman & Hall/CRC Textbooks in Computing)

Qidwai, Uvais

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world’s most challenging problems.  In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations. Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.

Data-Intensive Science (Chapman & Hall/CRC Computational Science)

Business & Money

Management & Leadership

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