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A definitive resource, the Introduction to Emergency Management and
Disaster Science presents the essentials to better understand and
manage disasters. The third edition of this popular text has been
revised and updated to provide a substantively enriched and
evidence-based guide for students and emerging professionals. The
new emphasis on disaster science places it at the forefront of a
rapidly evolving field. This third edition offers important
updates, including: Newly commissioned insights from former
students and professional colleagues involved with emergency
management practice and disaster science; international policies,
programs, and practices; and socially vulnerable populations.
Significantly enriched content and coverage of new disasters and
recent research, particularly the worldwide implications of climate
change and pandemics. Pedagogical features like chapter objectives,
key terms and definitions, discussion points and resources. The
only textbook authored by three winners of the Blanchard Award for
excellence in emergency management instruction. The Introduction to
Emergency Management and Disaster Science is a must-have textbook
for graduate and undergraduate students and is also an excellent
source of information for researchers and professionals.
A definitive resource, the Introduction to Emergency Management and
Disaster Science presents the essentials to better understand and
manage disasters. The third edition of this popular text has been
revised and updated to provide a substantively enriched and
evidence-based guide for students and emerging professionals. The
new emphasis on disaster science places it at the forefront of a
rapidly evolving field. This third edition offers important
updates, including: Newly commissioned insights from former
students and professional colleagues involved with emergency
management practice and disaster science; international policies,
programs, and practices; and socially vulnerable populations.
Significantly enriched content and coverage of new disasters and
recent research, particularly the worldwide implications of climate
change and pandemics. Pedagogical features like chapter objectives,
key terms and definitions, discussion points and resources. The
only textbook authored by three winners of the Blanchard Award for
excellence in emergency management instruction. The Introduction to
Emergency Management and Disaster Science is a must-have textbook
for graduate and undergraduate students and is also an excellent
source of information for researchers and professionals.
This timely collection explores trust research from many angles
while ably demonstrating the potential of cross-discipline
collaboration to deepen our understanding of institutional trust.
Citing, among other things, current breakdowns of trust in
prominent institutions, the book presents a multilevel model
identifying universal aspects of trust as well as domain- and
context-specific variations deserving further study. Contributors
analyze similarities and differences in trust across public domains
from politics and policing to medicine and science, and across
languages and nations. Innovative strategies for measuring and
assessing trust also shed new light on this essentially human
behavior. Highlights of the coverage: Consensus on
conceptualizations and definitions of trust: are we there yet?
Differentiating between trust and legitimacy in public attitudes
towards legal authority. Examining the relationship between
interpersonal and institutional trust in political and health care
contexts. Trust as a multilevel phenomenon across contexts.
Institutional trust across cultures. The "dark side" of
institutional trust. With its stimulating array of concepts and
applications, Interdisciplinary Perspectives on Trust will attract
a varied audience, among them experts in political science,
criminal justice, psychology, law, economics, healthcare,
sociology, public administration, cross-cultural studies, and
business administration.
This timely collection explores trust research from many angles
while ably demonstrating the potential of cross-discipline
collaboration to deepen our understanding of institutional trust.
Citing, among other things, current breakdowns of trust in
prominent institutions, the book presents a multilevel model
identifying universal aspects of trust as well as domain- and
context-specific variations deserving further study. Contributors
analyze similarities and differences in trust across public domains
from politics and policing to medicine and science, and across
languages and nations. Innovative strategies for measuring and
assessing trust also shed new light on this essentially human
behavior. Highlights of the coverage: Consensus on
conceptualizations and definitions of trust: are we there yet?
Differentiating between trust and legitimacy in public attitudes
towards legal authority. Examining the relationship between
interpersonal and institutional trust in political and health care
contexts. Trust as a multilevel phenomenon across contexts.
Institutional trust across cultures. The "dark side" of
institutional trust. With its stimulating array of concepts and
applications, Interdisciplinary Perspectives on Trust will attract
a varied audience, among them experts in political science,
criminal justice, psychology, law, economics, healthcare,
sociology, public administration, cross-cultural studies, and
business administration.
Few would dispute the truth of the statement People are Different',
but there is much controversy over why. This book authoritatively
explains the methods used to understand human variation, and
extends them far beyond the primary nature or nurture' question.
After chapters on basic statistics, biometrical genetics, matrix
algebra and path analysis, there is a state-of-the-art account of
how to fit genetic models using the LISREL package. The authors
explain not only the assumptions of the twin method, but how to
test them. The elementary model is expanded to cover sex
limitation, sibling interaction, multivariate and longitudinal
data, observer ratings, and twin-family studies. Throughout, the
methods are illustrated by applications to diverse areas such as
obesity, major depression, alcohol comsumption, delinquency,
allergies, and common fears.
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence.
Few would dispute the truth of the statement People are Different',
but there is much controversy over why. This book authoritatively
explains the methods used to understand human variation, and
extends them far beyond the primary nature or nurture' question.
After chapters on basic statistics, biometrical genetics, matrix
algebra and path analysis, there is a state-of-the-art account of
how to fit genetic models using the LISREL package. The authors
explain not only the assumptions of the twin method, but how to
test them. The elementary model is expanded to cover sex
limitation, sibling interaction, multivariate and longitudinal
data, observer ratings, and twin-family studies. Throughout, the
methods are illustrated by applications to diverse areas such as
obesity, major depression, alcohol comsumption, delinquency,
allergies, and common fears.
An understanding of the nervous system at virtually any level of
analysis requires an understanding of its basic building block, the
neuron. The third edition of "From Molecules to Networks" provides
the solid foundation of the morphological, biochemical, and
biophysical properties of nerve cells. In keeping with previous
editions, the unique content focus on cellular and molecular
neurobiology and related computational neuroscience is maintained
and enhanced.
All chapters have been thoroughly revised for this third edition
to reflect the significant advances of the past five years. The new
edition expands on the network aspects of cellular neurobiology by
adding new coverage of specific research methods (e.g., patch-clamp
electrophysiology, including applications for ion channel function
and transmitter release; ligand binding; structural methods such as
x-ray crystallography).
Written and edited by leading experts in the field, the third
edition completely and comprehensively updates all chapters of this
unique textbook and insures that all references to primary research
represent the latest results.
* The first treatment of cellular and molecular neuroscience
that includes an introduction to mathematical modeling and
simulation approaches
* 80% updated and new content
* New Chapter on "Biophysics of Voltage-Gated Ion Channels"
* New Chapter on "Synaptic Plasticity"
* Includes a chapter on the Neurobiology of Disease
* Highly referenced, comprehensive and quantitative
* Full color, professional graphics throughout
* All graphics are available in electronic version for teaching
purposes
The Superbwoman, by New York Big Book winner Janet Neal, is a
parable about a stressed out single working mother who sees a media
icon who seems to have it all, and goes on a quest to figure out
how she does it. It contains stories of the women she meets along
her way and the lessons she learns from them. Any woman who finds
herself trying to do it all, do it by herself, and do it perfectly
will relate to this tale told from the perspective of a burned-out
Superwoman who knows there has to be a better way. The answers are
revealed in a simple, easy to follow narrative that will bring
relief, smiles and more joy to the reader.
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