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This book offers a dynamic introduction to the new developments on
national security review of foreign direct investment (FDI) from
the perspectives of both domestic law and international investment
law. COVID-19 and the Russian invasion of Ukraine have intensified
FDI screening to an unprecedented scale, yet its purposes, scope,
and potential impact remain ambiguous and controversial. The work
first attests the legitimacy of FDI screening by using national
security constitutional theory. Part I explicates the national
security, public order and public health exceptions clauses in
international investment law, and the novel EU Regulation on FDI
screening. Part II provides an in-depth analysis of FDI screening
in China, France, Germany, Italy, the Netherlands, Poland, and the
UK, which have either witnessed momentous changes in domestic law
recently, or have adopted new laws to cope with the growing
security concerns. The book illustrates how States and the EU are
using legal instruments to tackle exigent and emerging challenges
and the complexity of national security emanated from foreign
investment, in the context of evolving disruptive digital
technologies and the structural change of the global economy. The
volume will be of great value to a wide range of audiences
including academics in investment and trade law, legal
practitioners, in-house counsels, policymakers, business
professionals and law and business students at the graduate level.
This book covers dynamic simulation of deformable objects, which is
one of the most challenging tasks in computer graphics and
visualization. It focuses on the simulation of deformable models
with anisotropic materials, one of the less common approaches in
the existing research. Both physically-based and
geometrically-based approaches are examined. The authors start with
transversely isotropic materials for the simulation of deformable
objects with fibrous structures. Next, they introduce a fiber-field
incorporated corotational finite element model (CLFEM) that works
directly with a constitutive model of transversely isotropic
material. A smooth fiber-field is used to establish the local
frames for each element. To introduce deformation simulation for
orthotropic materials, an orthotropic deformation controlling
frame-field is conceptualized and a frame construction tool is
developed for users to define the desired material properties. The
orthotropic frame-field is coupled with the CLFEM model to complete
an orthotropic deformable model. Finally, the authors present an
integrated real-time system for animation of skeletal characters
with anisotropic tissues. To solve the problems of volume
distortion and high computational costs, a strain-based PBD
framework for skeletal animation is explained; natural secondary
motion of soft tissues is another benefit. The book is written for
those researchers who would like to develop their own algorithms.
The key mathematical and computational concepts are presented
together with illustrations and working examples. It can also be
used as a reference book for graduate students and senior
undergraduates in the areas of computer graphics, computer
animation, and virtual reality. Academics, researchers, and
professionals will find this to be an exceptional resource.
This volume assembles a broad spectrum of methods used in long
non-coding RNAs (lncRNA) research, ranging from computational
annotation of lncRNA genes to molecular and cellular analyses of
the function of individual lncRNA. Long Non-Coding RNAs: Methods
and Protocols also discusses methods used to study circular RNAs
and RNA splicing, as well as influential findings on lncRNA in
human diseases. Written in the highly successful Methods in
Molecular Biology series format, chapters include introductions to
their respective topics, lists of the necessary materials and
reagents, step-by-step, readily reproducible laboratory protocols,
and tips on troubleshooting and avoiding known pitfalls. Thorough
and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a
must-have for molecular biologists, cell and developmental
biologists, specialists who conduct disease-oriented research, and
bioinformatics experts who seek a better understanding on lncRNA
expression and function by computational analysis of the massive
sequencing data that are rapidly accumulating in recent years.
This book introduces new techniques for cellular image feature
extraction, pattern recognition and classification. The authors use
the antinuclear antibodies (ANAs) in patient serum as the subjects
and the Indirect Immunofluorescence (IIF) technique as the imaging
protocol to illustrate the applications of the described methods.
Throughout the book, the authors provide evaluations for the
proposed methods on two publicly available human epithelial (HEp-2)
cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell
classification contest and ICIP2013 training dataset from the
ICIP'13 Competition on cells classification by fluorescent image
analysis. First, the reading of imaging results is significantly
influenced by one's qualification and reading systems, causing high
intra- and inter-laboratory variance. The authors present a
low-order LP21 fiber mode for optical single cell manipulation and
imaging staining patterns of HEp-2 cells. A focused four-lobed mode
distribution is stable and effective in optical tweezer
applications, including selective cell pick-up, pairing, grouping
or separation, as well as rotation of cell dimers and clusters.
Both translational dragging force and rotational torque in the
experiments are in good accordance with the theoretical model. With
a simple all-fiber configuration, and low peak irradiation to
targeted cells, instrumentation of this optical chuck technology
will provide a powerful tool in the ANA-IIF laboratories. Chapters
focus on the optical, mechanical and computing systems for the
clinical trials. Computer programs for GUI and control of the
optical tweezers are also discussed. to more discriminative local
distance vector by searching for local neighbors of the local
feature in the class-specific manifolds. Encoding and pooling the
local distance vectors leads to salient image representation.
Combined with the traditional coding methods, this method achieves
higher classification accuracy. Then, a rotation invariant textural
feature of Pairwise Local Ternary Patterns with Spatial Rotation
Invariant (PLTP-SRI) is examined. It is invariant to image
rotations, meanwhile it is robust to noise and weak illumination.
By adding spatial pyramid structure, this method captures spatial
layout information. While the proposed PLTP-SRI feature extracts
local feature, the BoW framework builds a global image
representation. It is reasonable to combine them together to
achieve impressive classification performance, as the combined
feature takes the advantages of the two kinds of features in
different aspects. Finally, the authors design a Co-occurrence
Differential Texton (CoDT) feature to represent the local image
patches of HEp-2 cells. The CoDT feature reduces the information
loss by ignoring the quantization while it utilizes the spatial
relations among the differential micro-texton feature. Thus it can
increase the discriminative power. A generative model adaptively
characterizes the CoDT feature space of the training data.
Furthermore, exploiting a discriminant representation allows for
HEp-2 cell images based on the adaptive partitioned feature space.
Therefore, the resulting representation is adapted to the
classification task. By cooperating with linear Support Vector
Machine (SVM) classifier, this framework can exploit the advantages
of both generative and discriminative approaches for cellular image
classification. The book is written for those researchers who would
like to develop their own programs, and the working MatLab codes
are included for all the important algorithms presented. It can
also be used as a reference book for graduate students and senior
undergraduates in the area of biomedical imaging, image feature
extraction, pattern recognition and classification. Academics,
researchers, and professional will find this to be an exceptional
resource.
This book covers dynamic simulation of deformable objects, which is
one of the most challenging tasks in computer graphics and
visualization. It focuses on the simulation of deformable models
with anisotropic materials, one of the less common approaches in
the existing research. Both physically-based and
geometrically-based approaches are examined. The authors start with
transversely isotropic materials for the simulation of deformable
objects with fibrous structures. Next, they introduce a fiber-field
incorporated corotational finite element model (CLFEM) that works
directly with a constitutive model of transversely isotropic
material. A smooth fiber-field is used to establish the local
frames for each element. To introduce deformation simulation for
orthotropic materials, an orthotropic deformation controlling
frame-field is conceptualized and a frame construction tool is
developed for users to define the desired material properties. The
orthotropic frame-field is coupled with the CLFEM model to complete
an orthotropic deformable model. Finally, the authors present an
integrated real-time system for animation of skeletal characters
with anisotropic tissues. To solve the problems of volume
distortion and high computational costs, a strain-based PBD
framework for skeletal animation is explained; natural secondary
motion of soft tissues is another benefit. The book is written for
those researchers who would like to develop their own algorithms.
The key mathematical and computational concepts are presented
together with illustrations and working examples. It can also be
used as a reference book for graduate students and senior
undergraduates in the areas of computer graphics, computer
animation, and virtual reality. Academics, researchers, and
professionals will find this to be an exceptional resource.
This volume assembles a broad spectrum of methods used in long
non-coding RNAs (lncRNA) research, ranging from computational
annotation of lncRNA genes to molecular and cellular analyses of
the function of individual lncRNA. Long Non-Coding RNAs: Methods
and Protocols also discusses methods used to study circular RNAs
and RNA splicing, as well as influential findings on lncRNA in
human diseases. Written in the highly successful Methods in
Molecular Biology series format, chapters include introductions to
their respective topics, lists of the necessary materials and
reagents, step-by-step, readily reproducible laboratory protocols,
and tips on troubleshooting and avoiding known pitfalls. Thorough
and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a
must-have for molecular biologists, cell and developmental
biologists, specialists who conduct disease-oriented research, and
bioinformatics experts who seek a better understanding on lncRNA
expression and function by computational analysis of the massive
sequencing data that are rapidly accumulating in recent years.
Edited by some of the most experienced authors in the field,
Biomedical Imaging provides comprehensive coverage on medical and
biological imaging. Original research and critical reviews on
software and hardware technologies for medical and biological
imaging tasks are presented in the book, along with data processing
in all imaging modalities for molecular, cellular, anatomical and
functional imaging. Research topics include image acquisition,
registration, reconstruction, multimodality methods, noise
filtering and image enhancement, segmentation, classification and
feature detection, model and atlas based imaging, as well as system
development and acceleration technologies. Biomedical Imaging is
comprised of 40 contributed chapters, which are organized in such a
way that researchers, engineers, clinical practitioners and
graduate students can easily follow up with relevant topics, and
will benefit from reading the views of the domain experts in their
fields.
Besides the traditional breeding & screening techniques,
biotechnological and molecular mappings are useful to identify the
resistance genes at selection stage. So, it is possible to screen
the susceptible clones prior to release and spread at agriculture
sector. This book deals with the background uses, methods, case
studies regarding molecular and biotechnological tools used in
identification and characterizations of genes against specific
traits or disease. It will be useful addition for the scientist,
students working on the aspect of genes and molecular mappings for
crops especially wheat. This book has complete description of
methods, interpretation of results and discussions with references.
This book has been written in simple English, easily understandable
figures and tables. By studying of this book, students &
scientists can perform experiments independently. Although much
literature is available regarding these topics but not so
descriptive, comprehensive, simple explanatory & brief as this
book has. His book is equally important for scientist,
undergraduate, graduate & doctorate students within low price.
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Advances in Grid and Pervasive Computing - 5th International Conference, CPC 2010, Hualien, Taiwan, May 10-13, 2010, Proceedings (Paperback, 2010 ed.)
Paolo Bellavista, Ruay-Shiung Chang, Han-Chieh Chao, Shin-Feng Lin, Peter M. A. Sloot
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R3,116
Discovery Miles 31 160
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Ships in 10 - 15 working days
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Grid and Pervasive Computing (GPC) is an annual international
conference on the emerging areas of grid computing and pervasive
computing, aimed at p- viding an exciting platform and paradigm for
all-the-time, everywhere services. GPC 2010 provided a high-pro?le,
leading-edgeforum for researchersand dev- opers from industry and
academia to present their latest research in the ?eld of grid and
pervasive computing. Three workshops were held in conjunction with
the GPC 2010 conference: * The First International Workshop on
Intelligent Management of Networked Environment (IMNE 2010) *
International Workshop on Multimedia Applications for Cloud (MAC
2010) * The 6thInternationalWorkshopon Mobile Commerce andServices
(WMCS 2010) The proceedingsof these workshoparealso included in
this volume. We received 184 papers originating from 22 countries.
The Program Committee ?nally - lected 67 papers for presentation at
the conference and inclusion in this LNCS volume. At GPC 2010, we
were very pleased to have four distinguished invited speakers, who
delivered state-of-the-art information on the conference topics: *
A grid based virtual laboratory for HIV drugranking by Peter Sloot
(U- versity of Amsterdam, The Netherlands) * Solving the
scalability dilemma with clouds, crowds, and algorithms by Michael
J. Franklin (University of California, Berkeley, USA) * The trend
of cloud computing - from industry's perspective by Enwei Xie
(Microsoft Greater China Region, China) * Towards ubiquitous
a?ective learning by Bin Hu (The Birmingham City University, UK)
Theconferencewouldnothavebeenpossiblewithoutthesupportofmanypeople
andorganizationsthathelped invariouswaysto makeita success.
Abiotic stresses are the main cause of low yield of crops in the
world. Among abiotic stresses, salinity is a world-wide problem.
This problem is particularly serious in arid & semiarid regions
of the world where most of the developing countries happen to fall.
Salinity causes not only differences between the mean yield and the
potential yield, but also causes yield reduction from year to year.
It affects the plant growth directly through its interaction with
metabolic rates and pathways within the plant. Pearl millet grains
are rich in fat, protein content (ranges from 12-20%) and mineral
elements, particularly calcium and iron. Among cereals, pearl
millet ranks sixth in importance but it is severely affected by
salinity. In this book comparison between two Pearl millet lines
under NaCl stress regarding morphology and physiology have been
discussed. It will be a useful addition for stress physiologists
working in this field. It will help readers to study morphology,
physiology and screening of crops under salt stress. By consulting
this book, scientists will be able to perform independent
experiment for salt stress studies.
Soybean (Glycine max L. (Merr)) is one of the most important crops
worldwide. Soybean seeds are vital for both protein meal and
vegetable oil. Soybean was domesticated in China, and since last
4-5 decades it has become one of the most widely grown crops around
the globe. The crop is grown on an anticipated 6% of the world's
arable land, and since the 1970s, the area in soybean production
has the highest percentage increase compared to any other major
crop. It is a major crop in the United States, Brazil, China and
Argentina and important in many other countries. The cultivated
soybean has one wild annual relative, G. soja, and 23 wild
perennial relatives. Soybean has spread to many Asian countries two
to three thousand years ago, but was not known in the West until
the 18th century. Among the various constraints responsible for
decrease in soybean yields are the biotic and abiotic stresses
which have recently increased as a result of changing climatic
scenarios at global level. A lot of work has been done for cultivar
development and germplasm enhancement through conventional plant
breeding. This has resulted in development of numerous high
yielding and climate resilient soybean varieties. Despite of this
development, plant breeding is long-term by nature, resource
dependent and climate dependent. Due to the advancement in genomics
and phenomics, significant insights have been gained in the
identification of genes for yield improvement, tolerance to biotic
and abiotic stress and increased quality parameters in soybean.
Molecular breeding has become routine and with the advent of next
generation sequencing technologies resulting in SNP based molecular
markers, soybean improvement has taken a new dimension and resulted
in mapping of genes for various traits that include disease
resistance, insect resistance, high oil content and improved yield.
This book includes chapters from renowned potential soybean
scientists to discuss the latest updates on soybean molecular and
genetic perspectives to elucidate the complex mechanisms to develop
biotic and abiotic stress resilience in soybean. Recent studies on
the improvement of oil quality and yield in soybean have also been
incorporated.
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