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This is the first English book that presents a professional
analysis of the recent dynamic movement of the Chinese economy by
focusing on the Yangtze River Delta region, which is the main
engine of the Chinese economy. The impact of the international
financial crisis on China's economic development requires a change
from the first wave of economic globalization oriented toward
exports to the second wave of economic globalization characterized
by expanding domestic demand. Taking this economic aspect into
consideration, the following are proposed in this book: 1)
expansion of the level of openness in the process of increasing
domestic demand means shifting the industrial focus from
manufacturing to the service industry; 2) promotion of the
globalization of local services should be based on the
globalization of local manufacturing; 3) the Yangtze River Delta
region should aim at its own strategic positioning under new,
changed circumstances and should achieve modernization in advance
with the concept of integrative development; 4) Establishment of a
support system is essential meanwhile for this area to develop an
innovative economy and to promote the transition from manufacturing
to promoting emerging industries, including a modern service
industry. The book has an underlying concept, namely, that the key
to economic transformation is to start the development of modern
services and that only by transforming the development pattern of
the service industry can the transition and upgrade of the economy
be effectively achieved. For this purpose further urbanization and
advancing the transformation from low-tech to high-tech industries
by the effective development of industrial clusters is advocated.
To ensure that these conclusions are based on a solid analysis, the
authors draw heavily upon empirical analyses employing modern
econometric methods and make use of economic theories such as
endogenous growth theory and spatial economic theory.
Multivariate analysis is a mainstay of statistical tools in the
analysis of biomedical data. It concerns with associating data
matrices of n rows by p columns, with rows representing samples (or
patients) and columns attributes of samples, to some response
variables, e.g., patients outcome. Classically, the sample size n
is much larger than p, the number of variables. The properties of
statistical models have been mostly discussed under the assumption
of fixed p and infinite n. The advance of biological sciences and
technologies has revolutionized the process of investigations of
cancer. The biomedical data collection has become more automatic
and more extensive. We are in the era of p as a large fraction of
n, and even much larger than n. Take proteomics as an example.
Although proteomic techniques have been researched and developed
for many decades to identify proteins or peptides uniquely
associated with a given disease state, until recently this has been
mostly a laborious process, carried out one protein at a time. The
advent of high throughput proteome-wide technologies such as liquid
chromatography-tandem mass spectroscopy make it possible to
generate proteomic signatures that facilitate rapid development of
new strategies for proteomics-based detection of disease. This
poses new challenges and calls for scalable solutions to the
analysis of such high dimensional data. In this volume, we will
present the systematic and analytical approaches and strategies
from both biostatistics and bioinformatics to the analysis of
correlated and high-dimensional data.
This is the first book ever published on the problems of true
triaxial testing of rocks addressing all aspects of true triaxial
testing of rocks, including: (i) true triaxial testing techniques
and procedures; (ii) test results: strength, deformability, failure
mode, permeability, acoustic emission, and elastic wave velocity;
(iii) constitutive laws and failure criteria; and (iv) applications
to geoengineering and geosciences. Recent developments in the field
of true triaxial testing of rocks are presented, as well as a
thorough review of the most important achievements in the whole
history of true triaxial testing of rocks. Almost all researchers
from around the world engaged in the true triaxial testing of rocks
over the last three decades have contributed to this work. The
authors originate from different branches of geoengineering and
geosciences, including civil engineering, engineering geology,
geotechnical engineering, mining engineering, petroleum
engineering, seismology, and tectonophysics.
This detailed book explores the technical breakthroughs with
biophysical and cell biological approaches that have advanced the
study of molecular mechanisms underlying the generation and
transduction of the hedgehog (HH) signal, indicating the important
role of sterols in this pathway. Within its pages, the volume
examines techniques involving several key protein components in
this pathway, including HH, the signaling ligand; Dispatched, a HH
secretion regulator; Patched, the receptor of HH; Smoothened, the
signal transducer used to transduce the HH signal across the plasma
membrane; and GLI, the transcription factor to turn on HH target
genes. Written in the highly successful Methods in Molecular
Biology series format, chapters feature introductions to their
respective topics, lists of the necessary materials and reagents,
step-by-step readily reproducible laboratory protocols, as well as
tips on troubleshooting and avoiding known pitfalls. Authoritative
and practical, Hedgehog Signaling: Methods and Protocols provides
researchers in clinical and basic science with a fresh and reliable
reference for analyzing HH signal transduction through cell
biological, biochemical, and biophysical approaches.
This is the first English book that presents a professional
analysis of the recent dynamic movement of the Chinese economy by
focusing on the Yangtze River Delta region, which is the main
engine of the Chinese economy. The impact of the international
financial crisis on China’s economic development requires a
change from the first wave of economic globalization oriented
toward exports to the second wave of economic globalization
characterized by expanding domestic demand. Taking this economic
aspect into consideration, the following are proposed in this book:
1) expansion of the level of openness in the process of increasing
domestic demand means shifting the industrial focus from
manufacturing to the service industry; 2) promotion of the
globalization of local services should be based on the
globalization of local manufacturing; 3) the Yangtze River Delta
region should aim at its own strategic positioning under new,
changed circumstances and should achieve modernization in advance
with the concept of integrative development; 4) Establishment of a
support system is essential meanwhile for this area to develop an
innovative economy and to promote the transition from manufacturing
to promoting emerging industries, including a modern service
industry. The book has an underlying concept, namely, that the key
to economic transformation is to start the development of modern
services and that only by transforming the development pattern of
the service industry can the transition and upgrade of the economy
be effectively achieved. For this purpose further urbanization and
advancing the transformation from low-tech to high-tech industries
by the effective development of industrial clusters is advocated.
To ensure that these conclusions are based on a solid analysis, the
authors draw heavily upon empirical analyses employing modern
econometric methods and make use of economic theories such as
endogenous growth theory and spatial economic theory. Â
 Â
Multivariate analysis is a mainstay of statistical tools in the
analysis of biomedical data. It concerns with associating data
matrices of n rows by p columns, with rows representing samples (or
patients) and columns attributes of samples, to some response
variables, e.g., patients outcome. Classically, the sample size n
is much larger than p, the number of variables. The properties of
statistical models have been mostly discussed under the assumption
of fixed p and infinite n. The advance of biological sciences and
technologies has revolutionized the process of investigations of
cancer. The biomedical data collection has become more automatic
and more extensive. We are in the era of p as a large fraction of
n, and even much larger than n. Take proteomics as an example.
Although proteomic techniques have been researched and developed
for many decades to identify proteins or peptides uniquely
associated with a given disease state, until recently this has been
mostly a laborious process, carried out one protein at a time. The
advent of high throughput proteome-wide technologies such as liquid
chromatography-tandem mass spectroscopy make it possible to
generate proteomic signatures that facilitate rapid development of
new strategies for proteomics-based detection of disease. This
poses new challenges and calls for scalable solutions to the
analysis of such high dimensional data. In this volume, we will
present the systematic and analytical approaches and strategies
from both biostatistics and bioinformatics to the analysis of
correlated and high-dimensional data.
This detailed book explores the technical breakthroughs with
biophysical and cell biological approaches that have advanced the
study of molecular mechanisms underlying the generation and
transduction of the hedgehog (HH) signal, indicating the important
role of sterols in this pathway. Within its pages, the volume
examines techniques involving several key protein components in
this pathway, including HH, the signaling ligand; Dispatched, a HH
secretion regulator; Patched, the receptor of HH; Smoothened, the
signal transducer used to transduce the HH signal across the plasma
membrane; and GLI, the transcription factor to turn on HH target
genes. Written in the highly successful Methods in Molecular
Biology series format, chapters feature introductions to their
respective topics, lists of the necessary materials and reagents,
step-by-step readily reproducible laboratory protocols, as well as
tips on troubleshooting and avoiding known pitfalls. Authoritative
and practical, Hedgehog Signaling: Methods and Protocols provides
researchers in clinical and basic science with a fresh and reliable
reference for analyzing HH signal transduction through cell
biological, biochemical, and biophysical approaches.
This is the first book ever published on the problems of true
triaxial testing of rocks addressing all aspects of true triaxial
testing of rocks, including: (i) true triaxial testing techniques
and procedures; (ii) test results: strength, deformability, failure
mode, permeability, acoustic emission, and elastic wave velocity;
(iii) constitutive laws and failure criteria; and (iv) applications
to geoengineering and geosciences.
Recent developments in the field of true triaxial testing of
rocks are presented, as well as a thorough review of the most
important achievements in the whole history of true triaxial
testing of rocks.
Almost all researchers from around the world engaged in the true
triaxial testing of rocks over the last three decades have
contributed to this work. The authors originate from different
branches of geoengineering and geosciences, including civil
engineering, engineering geology, geotechnical engineering, mining
engineering, petroleum engineering, seismology, and
tectonophysics.
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