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Earth Observation for Monitoring and Modeling Land Use presents a
practical guide and theoretical overview of the latest techniques
and Earth observation technologies applied to land use and land
cover change through qualitative assessment of Earth observation
technologies. The chapters include detailed case studies, Earth
observation datasets, and detailed applications of the technologies
covered, presented in a way that each chapter is a self-contained
guide on a specific application of Earth observation technologies
to land use problems, ensuring all technical and background
information is provided on each subject without the need for
cross-referencing or searching for other sources. The book
spatializes the understanding of monitoring land cover and use, and
quantifies the challenges faced, allowing analysis of the dynamics
of the territory in terms of occupation processes, land use, and
its transformations. They book focuses on practical applications of
using remote sensing and modeling that support new research in
relation to monitoring of land use and spectral modelling,
elucidating the importance of advanced methodologies in the
coverage and use mappings of the Earth. Mainly in spatial cutouts
that present great environmental dynamism, such as areas that have
undergone major infrastructure work, are suffering from
deforestation, or areas experiencing accelerated population growth.
Earth Observation for Monitoring and Modeling Land Use offers
up-to-date methodologies for postgraduate students, researchers,
academics and professionals in the field of remote sensing,
geography, land change study, geospatial research, environmental
science, and sustainability, providing them with a critical
overview of state-of-the-art Earth observation technologies in this
subject.
Satellite Soil Moisture Retrieval: Techniques and Applications
offers readers a better understanding of the scientific
underpinnings, development, and application of soil moisture
retrieval techniques and their applications for environmental
modeling and management, bringing together a collection of recent
developments and rigorous applications of soil moisture retrieval
techniques from optical and infrared datasets, such as the
universal triangle method, vegetation indices based approaches,
empirical models, and microwave techniques, particularly by
utilizing earth observation datasets such as IRS III, MODIS,
Landsat7, Landsat8, SMOS, AMSR-e, AMSR2 and the upcoming SMAP.
Through its coverage of a wide variety of soil moisture retrieval
applications, including drought, flood, irrigation scheduling,
weather forecasting, climate change, precipitation forecasting, and
several others, this is the first book to promote synergistic and
multidisciplinary activities among scientists and users working in
the hydrometeorological sciences.
Continuing the tradition of International Dyke Conference, this
book is largely based on contributions from the IDC7 but also
includes some chapters by invitation. It focuses on mafic dyke
swarms and related associations: e.g. links with sills,
kimberlites, syenites, carbonatites, and volcanics, discussing the
following themes: (i) regional maps/reviews of dyke swarms and
related units, (ii) the role of giant dyke swarms in the
reconstruction of supercontinents/paleocontinents, (iii) mapping of
dykes using remote sensing techniques, (iv) geochronology of dyke
swarms, (v) petrology, geochemistry and petrogenesis of dykes, (vi)
emplacement mechanism of dykes, (vii) dyke swarms and planetary
bodies, and (viii) links to mineralization and resources.
Earth Observation in Urban Monitoring: Techniques and Challenges
presents the latest techniques of remote sensing in urban
monitoring, along with methods for quantitative and qualitative
assessment using state-of-the-art Earth observation technologies.
The book details the advances of remote sensing technologies in
urban environmental monitoring for a range of practical and
research applications, Earth observation datasets, remote sensing
of environmental considerations, geostatistical techniques and
resilience perspectives. Chapters cover sensor applications, urban
growth modelling, SAR applications, surveying techniques, satellite
time series analysis and a variety of other remote sensing
technologies for urban monitoring. Each chapter includes detailed
case studies at a variety of scales and from a variety of
geographies, offering up-to-date, global, urban monitoring
methodologies for researchers, scientists and academics in remote
sensing, geospatial research, environmental science and
sustainability.
GPS and GNSS Technology in Geosciences offers an interdisciplinary
approach to applying advances in GPS/GNSS technology for geoscience
research and practice. As GPS/GNSS signals can be used to provide
useful information about the Earth's surface characteristics and
land surface composition, GPS equipment and services for commercial
purposes continues to grow, thus resulting in new expectations and
demands. This book provides case studies for a deeper understanding
of the operation and principles of widely applied approaches and
the benefits of the technology in everyday research and activities.
Experts from around the world review the current field of the
immunobiology of heat shock proteins, and provide a comprehensive
account of how these molecules are spearheading efforts in the
understanding of various pathways of the immune system. This
one-stop resource contains numerous images to both help illustrate
the research on heat shock proteins, and better clarify the field
for the non-expert. Heat shock proteins (HSPs) were discovered in
1962 and were quickly recognized for their role in protecting cells
from stress. Twenty years later, the immunogenicity of a select few
HSPs was described, and for the past 30 years, these findings have
been applied to numerous branches of immunology, including tumor
immunology and immunosurveillance, immunotherapy, etiology of
autoimmunity, immunotherapy of infectious diseases, and expression
of innate receptors. While HSPs can be used to manipulate immune
responses by exogenous administration, they appear to be involved
in initiation of de novo immune responses to cancer and likely in
the maintenance of immune homeostasis.
Metal toxicity and deficiency are both common abiotic problems
faced by plants. While metal contamination around the world is a
critical issue, the bioavailability of some essential metals like
zinc (Zn) and selenium (Se) can be seriously low in other
locations. The list of metals spread in high concentrations in
soil, water and air includes several toxic as well as essential
elements, such as arsenic (As), cadmium (Cd), chromium (Cr),
aluminum (Al), and selenium (Se). The problems for some metals are
geographically confined, while for others, they are widespread. For
instance, arsenic is an important toxic metalloid whose
contamination in Southeast Asia and other parts of world is well
documented. Its threats to human health via food consumption have
generated immense interest in understanding plants' responses to
arsenic stress. Metals constitute crucial components of key enzymes
and proteins in plants. They are important for the proper growth
and development of plants. In turn, plants serve as sources of
essential elements for humans and animals. Studies of their
physiological effects on plants metabolism have led to the
identification of crucial genes and proteins controlling metal
uptake and transport, as well as the sensing and signaling of metal
stresses. Plant-Metal Interactions sheds light on the latest
development and research in analytical biology with respect to
plant physiology. More importantly, it showcases the positive and
negative impacts of metals on crop plants growth and productivity.
Computational intelligence techniques have enjoyed growing interest
in recent decades among the earth and environmental science
research communities for their powerful ability to solve and
understand various complex problems and develop novel approaches
toward a sustainable earth. This book compiles a collection of
recent developments and rigorous applications of computational
intelligence in these disciplines. Techniques covered include
artificial neural networks, support vector machines, fuzzy logic,
decision-making algorithms, supervised and unsupervised
classification algorithms, probabilistic computing, hybrid methods
and morphic computing. Further topics given treatment in this
volume include remote sensing, meteorology, atmospheric and oceanic
modeling, climate change, environmental engineering and management,
catastrophic natural hazards, air and environmental pollution and
water quality. By linking computational intelligence techniques
with earth and environmental science oriented problems, this book
promotes synergistic activities among scientists and technicians
working in areas such as data mining and machine learning. We
believe that a diverse group of academics, scientists,
environmentalists, meteorologists and computing experts with a
common interest in computational intelligence techniques within the
earth and environmental sciences will find this book to be of great
value.
In vitro and animal studies show that vanadate and other Because
most cellular components contain hydroxyl and/or vanadium compounds
increase glucose transport activity and phosphate groups, vanadate
reacts as shown in eq. 1, and 2 normalize glucose metabolism [1-5].
Furthermore, these with a variety of metabolites. For example, the
reaction of insulin-mimetic compounds can be administered orally.
Vana- vanadate with the 2'-hydroxyl group of the cofactor NAD date
enhances the phosphoprotein formation which is attrib- generates an
NADP analog, NADV (path b) [22]. NADV is uted to either the
activation of protein kinases or inhibition an excellent cofactor
for enzymes such as glucose-6-phos- of protein phosphatases.
Despite the interest in document- phate dehydrogenase,
6-phosphogluconate dehydrogenase, ing the effects of vanadate on
protein kinases, most reports and alcohol dehydrogenase [22]. The
presence ofNADV have used indirect methods and studies with
purified kinases could affect the levels of reducing equivalents in
the cell, im- show weak, if any, interaction of vanadate with
kinases as portant in maintaining a normal glucose metabolism. This
a group of enzymes (reviewed in Refs. [6-8]). Vanadate type of
mechanism is distinct from the vanadate-induced interacts potently
with phosphatases and the inhibition is NADH oxidation by plasma
membranes [23]. Organic attributed to a five-coordinate vanadate
complex which vanadates have been shown to substitute for organic
phos- mimics the transition state of the phosphate ester hydroly-
phates in many of the enzymes related to glucose metabolism sis
reaction (reviewed in Refs. [7,9]).
Remote Sensing in Precision Agriculture: Transforming Scientific
Advancement into Innovation compiles the latest applications of
remote sensing in agriculture using spaceborne, airborne and
drones’ geospatial data. The book presents case studies, new
algorithms and the latest methods surrounding crop sown area
estimation, determining crop health status, assessment of
vegetation dynamics, crop diseases identification, crop yield
estimation, soil properties, drone image analysis for crop damage
assessment, and other issues in precision agriculture. This book is
ideal for those seeking to explore and implement remote sensing in
an effective and efficient manner with its compendium of
scientifically and technologically sound information.
Capsaicin is a principal pungent ingredient of red chili peppers,
first isolated in the early nineteenth century by Christian
Friedrich Bucholz. Widely consumed as a spice in South Asia and
Latin America, Capsaicin has been used to treat pain and
inflammation associated with a variety of diseases, including
rheumatoid arthritis, diabetic neuropathy, post-masectomy pain,
cluster headaches, and herpes zoster. Although recent studies have
evaluated capsaicin as a novel anti-cancer agent, and mechanisms of
capsaicin in preventing cancer have been described sporadically,
the literature lacks a comprehensive review of capsaicin as a
chemo-preventive agent. Role of Capsaicin in Oxidative Stress and
Cancer offers a thorough exploration of the preventive and
therapeutic effects of capsaicin in cancer models such as melanoma,
pancreatic cancer, colon cancer, gastric cancer, breast cancer,
prostate cancer, skin cancer, lung cancer, multiple myeloma and
glioma. The contributors, all internationally recognized
researchers, identify various molecular and cellular targets of
capsaicin, and show the critical role of mitochondria in
capsaicin-mediated therapeutic effects. Readers will learn how
capsaicin prevents or may treat cancer, how different cells respond
to capsaicin, how environmental carcinogen-induced carcinogenesis
can be prevented by capsaicin and the mechanism of oxidative stress
caused by capsaicin. This book will benefit medical students,
oncologists and cancer researchers everywhere.
This unique and comprehensive volume provides an up-to-date account
of the literature on the subject of determining the structure of
rings over which cyclic modules or proper cyclic modules have a
finiteness condition or a homological property. The finiteness
conditions and homological properties are closely interrelated in
the sense that either hypothesis induces the other in some form.
This is the first book to bring all of this important material on
the subject together. Over the last 25 years or more numerous
mathematicians have investigated rings whose factor rings or factor
modules have a finiteness condition or a homological property. They
made important contributions leading to new directions and
questions, which are listed at the end of each chapter for the
benefit of future researchers. There is a wealth of material on the
topic which is combined in this book, it contains more than 200
references and is not claimed to be exhaustive. This book will
appeal to graduate students, researchers, and professionals in
algebra with a knowledge of basic noncommutative ring theory, as
well as module theory and homological algebra, equivalent to a
one-year graduate course in the theory of rings and modules.
"Remote Sensing Applications in Environmental Research "is the
basis for advanced Earth Observation (EO) datasets used in
environmental monitoring and research. Now that there are a number
of satellites in orbit, EO has become imperative in today s
sciences, weather and natural disaster prediction. This highly
interdisciplinary reference work brings together diverse studies on
remote sensing and GIS, from a theoretical background to its
applications, represented through various case studies and the
findings of new models. The book offers a comprehensive range of
contributions by well-known scientists from around the world and
opens a new window for students in presenting interdisciplinary and
methodological resources on the latest research. It explores
various key aspects and offers state-of-the-art research in a
simplified form, describing remote sensing and GIS studies for
those who are new to the field, as well as for established
researchers."
This volume explores current viewpoints and knowledge gaps in the
field of traumatic brain injury (TBI). The chapters in this book
cover topics ranging from development of in vitro and animal TBI
models, to diagnostic imaging and disease monitoring in patients.
Designing pre-clinical and clinical trials is also discussed. In
Neuromethods series style, chapters include the kind of detail and
key advice from the specialists needed to get successful results in
your laboratory. Practical and thorough, Pre-Clinical and Clinical
Methods in Brain Trauma Research is a valuable resource for both
scientists and clinical researchers interested in learning about
important techniques and their applications in the field of TBI.
Sensitivity Analysis in Earth Observation Modeling highlights the
state-of-the-art in ongoing research investigations and new
applications of sensitivity analysis in earth observation modeling.
In this framework, original works concerned with the development or
exploitation of diverse methods applied to different types of earth
observation data or earth observation-based modeling approaches are
included. An overview of sensitivity analysis methods and
principles is provided first, followed by examples of applications
and case studies of different sensitivity/uncertainty analysis
implementation methods, covering the full spectrum of sensitivity
analysis techniques, including operational products. Finally, the
book outlines challenges and future prospects for implementation in
earth observation modeling. Information provided in this book is of
practical value to readers looking to understand the principles of
sensitivity analysis in earth observation modeling, the level of
scientific maturity in the field, and where the main limitations or
challenges are in terms of improving our ability to implement such
approaches in a wide range of applications. Readers will also be
informed on the implementation of sensitivity/uncertainty analysis
on operational products available at present, on global and
continental scales. All of this information is vital in the
selection process of the most appropriate sensitivity analysis
method to implement.
The main objective of this book is to provide a comprehensive
review on stem cells and their role in tissue regeneration,
homeostasis and therapy. In addition, the role of cancer stem cells
in cancer initiation, progression and drug resistance are
discussed. The cell signaling pathways and microRNA regulating stem
cell self-renewal, tissue homeostasis and drug resistance are also
mentioned. Overall, these reviews will provide a new understanding
of the influence of stem cells in tissue regeneration, disease
regulation, therapy and drug resistance in several human diseases.
Hyperspectral Remote Sensing: Theory and Applications offers the
latest information on the techniques, advances and wide-ranging
applications of hyperspectral remote sensing, such as forestry,
agriculture, water resources, soil and geology, among others. The
book also presents hyperspectral data integration with other
sources, such as LiDAR, Multi-spectral data, and other remote
sensing techniques. Researchers who use this resource will be able
to understand and implement the technology and data in their
respective fields. As such, it is a valuable reference for
researchers and data analysts in remote sensing and Earth
Observation fields and those in ecology, agriculture, hydrology and
geology.
This book brings together the scattered literature associated with
the seemingly unrelated regression equations (SURE) model used by
econometricians and others. It focuses on the theoretical
statistical results associated with the SURE model.
This volume provides comprehensive knowledge on the fundamental
techniques and detailed laboratory protocols used in stem cell
research and their potential application in the field of
neuroscience. The chapters in this book cover detailed descriptions
of techniques for isolation, maintenance, differentiation, and
characterization of neural stem cells, and the development of in
vitro stem cell-based neurological disease model. There are
detailed methods on leading techniques for stem cell genetic
engineering and intra-organ transplantation for research and
therapeutic purposes, in vivo imaging of donor stem cells, and
essential requirements for setting up a new stem cell laboratory.
Neuromethods series offers chapters with key advice and procedure
specifics to empower the readers to successfully achieve their own
scientific and experimental goals. Cutting-edge and pragmatic, Stem
Cell Technologies in Neuroscience is a valuable resource for
academic and translational researchers, industry scientists,
biology teachers, and life science graduate students to grasp the
vital pulse of the rapidly growing field of stem cell research.
This book advances the scientific understanding, development, and
application of geospatial technologies related to water resource
management. It presents recent developments and applications
specifically by utilizing new earth observation datasets such as
TRMM/GPM, AMSR E/2, SMOS, SMAP and GCOM in combination with GIS,
artificial intelligence, and hybrid techniques. By linking
geospatial techniques with new satellite missions for earth and
environmental science, the book promotes the synergistic and
multidisciplinary activities of scientists and users working in the
field of hydrological sciences.
Time is of the essence in the effective management of trauma
patients, requiring quick evaluation, immediate lifesaving
procedures, and a definitive treatment of a wide variety of
injuries. Trauma Surgery Essentials: A Must-Know Guide to Emergency
Management has been written and designed to provide need-to-know
information in a visually appealing, easy-to-read format. Expert
trauma surgeon Dr. Anil K. Srivastava has identified the essential
trauma surgery facts and procedures you must know, based on
authoritative textbooks, practice guidelines, and current
peer-reviewed journals, and compiled all of this information into a
handy guide, ideal for quick reference at the point of care. Covers
the emergent evaluation and management of trauma patients, as well
as the emergency management of specific injuries. Uses an
easy-to-digest, bullet-point format to convey information in a way
that's easy to follow and understand. Contains dozens of full-color
illustrations that focus on surgical anatomy and surgical
procedures, as well as numerous algorithms that aid in surgical
decision making. A valuable resource for medical students, trainee
surgical residents, trauma surgery fellows, general surgeons,
trauma surgeons, ER physicians, and midlevel providers, as well as
other non-surgical physicians who are interested in the management
of trauma patients. An eBook version is included with purchase. The
eBook allows you to access all of the text, figures and references,
with the ability to search, customize your content, make notes and
highlights, and have content read aloud.
This book brings together the scattered literature associated with
the seemingly unrelated regression equations (SURE) model used by
econometricians and others. It focuses on the theoretical
statistical results associated with the SURE model.
RESILIENCY OF POWER DISTRIBUTION SYSTEMS A revolutionary book
covering the relevant concepts for resiliency-focused advancements
of the distribution power grid Most resiliency and security
guidelines for the power industry are focused on power transmission
systems. As renewable energy and energy storage increasingly
replace fossil-fuel-based power generation over the coming years,
geospatially neighboring distributed energy resources will supply a
majority of consumers and provide clean power through long
transmission lines. These electric power distribution systems—the
final stage in the delivery of electric power—carry electricity
from the transmission system to individual consumers. New
distributed devices will be essential to the grid to manage this
variable power generation and enhance reliability and resilience
while keeping electricity affordable as the world seeks solutions
to climate change and threats from extreme events. In Resiliency of
Power Distribution Systems, readers are provided with the tools to
understand and enhance resiliency of distribution systems—and
thereby, the entire power grid. In a shift from the present design
and operation of the power system, the book is focused on improving
the grid’s ability to predict, adapt, and respond to all hazards
and threats. This, then, acts as a guide to ensure that any
incident can be mitigated and responded to promptly and adequately.
It also highlights the most advanced and applicable methodologies
and architecture frameworks that evaluate degradation, advance
proactive action, and transform system behavior to maintain normal
operation, under extreme operating conditions. Resiliency of Power
Distribution Systems readers will also find: Chapter organization
that facilitates quick review of distribution fundamental and
easy-but-thorough understanding of the importance of resiliency
Real-world case studies where resilient power systems could have
prevented massive financial and energy losses Frameworks to help
mitigate cyber-physical attacks, strategize response on multiple
timescales, and optimize operational efficiencies and priorities
for the power grid Resiliency of Power Distribution Systems is a
valuable reference for power system professionals including
electrical engineers, utility operators, distribution system
planners and engineers, and manufacturers, as well as members of
the research community, energy market experts and policy makers,
and graduate students on electrical engineering courses.
Chemoprevention of cancer has been the focus of intensive research
for more than two decades. Epidemiological evidence has shown a
small, but significant association between fruit and vegetable
intake and a reduction in cancer risk. Diet may account for about
thirty five percent of cancer. Large claims have been made for the
effectiveness of particular diets in determining one's risk of
developing cancer, ranging from protection against cancer
initiation, progression and metastasis. A wide array of dietary
components has been demonstrated to be as effective in fighting off
cancer. Towards an increased understanding of the nutrition,
excercise and diet in preventing cancer or inhibiting its
progression has led to the discovery and development of novel and
effective drugs that regulate intracellular signaling network in
the body. This information will be very useful to explore novel and
highly effective chemopreventive strategies for reducing the health
burden of cancer. Hippocrates, who proclaimed 25 centuries ago,
'Let food be thy medicine and medicine be thy food'. They estimated
that one third of all cancer cases could be prevented by a
healthier diet; statements which are widely accepted in the
scientific literature. This book covers the current state-of-the
art knowledge on the impact of nutrition and diet with
nutrigenetics, nutritional epigenomics, nutritional
transcriptomics, proteomics, and metabolomics approach in cancer
prevention and therapy.
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