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This book brings together unique experiences of India, China and
Israel in overcoming economic, social, and natural resource
challenges. Through its eleven chapters, the book captures the role
of groundbreaking innovations in achieving unprecedented
agricultural growth and stabilizing these nations. It provides a
future outlook of the new challenges that will confront these
countries in 2030 and beyond, related to tackling food and
nutrition security, sustainable agricultural growth and adhering to
improved food safety standards. This book provides useful insights
for exploring technological innovations and policies that can
address these future challenges and develop profitable and
sustainable agriculture. This volume also highlights valuable
lessons that India, China and Israel provide for the rest of the
developing world where population is growing fast; natural
resources are limited; and it is a challenge to produce enough
food, feed and fibre for their populations. Tracing the historical
past, this book is an impressive resource for academicians,
policymakers, practitioners, agribusiness players, entrepreneurs in
understanding the role of innovations in addressing future
challenges.
As the world's only English-language historical dictionary of the
Chinese Cultural Revolution (1966-1976), this book offers a
comprehensive coverage of major historical figures, events,
political terms, and other matters relevant to this unique period
of modern Chinese history that had profound influence on social and
cultural movements of the world in the 1960s and 1970s. This second
edition of Historical Dictionary of the Chinese Cultural Revolution
covers its history through a chronology, an introductory essay,
glossary, and an extensive bibliography. The dictionary section has
over 400 cross-referenced entries on important personalities,
politics, economy, foreign relations, religion, and culture. This
book is an excellent access point for students, researchers, and
anyone wanting to know more about this important period in Chinese
history.
The Cultural Revolution in the People's Republic of China started
in 1966 and lasted about a decade. This revolutionary upsurge of
Chinese students and workers, led by Mao Zedong, wreaked havoc in
the world's most populous country, often turning things upside down
and undermining the party, government, and army while
simultaneously weakening the economy, society, and culture. Tens of
millions of people were killed, injured, or imprisoned during this
period and relatively few benefited, aside from Mao Zedong and the
Gang of Four, the group that would eventually receive the blame for
the events of the Cultural Revolution. Given the turbulence and
confusion, it is hard to know just what happened. The A to Z of the
Chinese Cultural Revolution tackles this task. First, in an
extensive chronology, which traces the events from year to year and
month to month, then in an introduction puts these events in
context and helps to explain them. But most importantly, the bulk
of the information is provided in a dictionary section with
numerous cross-referenced entries on important persons, places,
institutions, and movements. A bibliography points to further
sources of information and a glossary will help those researching
in Chinese.
This book brings together unique experiences of India, China and
Israel in overcoming economic, social, and natural resource
challenges. Through its eleven chapters, the book captures the role
of groundbreaking innovations in achieving unprecedented
agricultural growth and stabilizing these nations. It provides a
future outlook of the new challenges that will confront these
countries in 2030 and beyond, related to tackling food and
nutrition security, sustainable agricultural growth and adhering to
improved food safety standards. This book provides useful insights
for exploring technological innovations and policies that can
address these future challenges and develop profitable and
sustainable agriculture. This volume also highlights valuable
lessons that India, China and Israel provide for the rest of the
developing world where population is growing fast; natural
resources are limited; and it is a challenge to produce enough
food, feed and fibre for their populations. Tracing the historical
past, this book is an impressive resource for academicians,
policymakers, practitioners, agribusiness players, entrepreneurs in
understanding the role of innovations in addressing future
challenges.
Knowledge Driven Development: Private Extension and Global Lessons
uses actual cases written specifically to study the role and
capacity of private companies in knowledge sharing and
intensification through agricultural extension. Descriptions of
specific models and approaches are teased out of complex situations
exhibiting a range of agricultural, regulatory, socio-economic
variables. Illustrative cases focus on a particular agricultural
value chain and elaborate the special feature of the associated
private extension system. Chapters presenting individual cases of
private extension also highlight specific areas of variations and
significant deviance. Each chapter begins with a section describing
the background and agricultural context of the case, followed by a
description of the specific crop value chain. Based on
understanding of this context, extension models and methods by
private companies receive deeper analysis and definition in the
next section. This leads to a discussion of the private extension
with respect to its relevance, efficiency, effectiveness, equity,
sustainability and impact. Following that, comparison with public
extension, the uniqueness of the knowledge intensification model,
and lessons for its replication and scaling up are elaborated. The
final chapter summarizes the major results from the ten cases
presented, looking at the trends, commonalities and differences of
various extension approaches and the general lessons for success or
failure. It concludes with a set of messages around value creation,
integrated services, market links, inclusive innovation, and
capacity development.
The Internet has developed into a new distribution channel and
online transactions are rapidly increasing. This has created a need
to understand how the consumer perceives online purchases. The
purpose of this study is to investigate factors affecting student
consumer's buying decision when purchasing clothing online, and
find out which factors impact on the online buying decision most.
The research hypotheses are tested by using data collected from 200
students of Glyndwr University in UK. The identified factors
economic orientation, convenience orientation, trust orientation
and social influence have been examined. Among all of them, the
first three were positively correlated with online attitude,
whereas the result shown that social influence weakly associated
with online attitude. The findings of this research can be drawn as
implications for online clothing retailers so as to improve their
understanding of the segment consumer group and increase their
online marketing strategy effectiveness.
Computational simulations frequently generate solutions defined
over very large tetrahedral volume meshes containing millions of
elements. Furthermore, solutions over these meshes may often be
expressed using non-linear basis functions. Certain solution
techniques may even produce non-conforming meshes. Such data is
difficult to visualize interactively, as it is far too large to fit
in memory and many common data reduction techniques cannot be
applied to non-conforming meshes. Common linear interpolation
method cannot faithfully and accurately evaluate the non-linear
solutions. In this book, three different methods are proposed to
provide accurate, interactive and efficient visualization. The
surface method introduces pixel-exact evaluation of higher-order
solution data on the GPU, which demonstrates the importance of
per-pixel rendering versus linear interpolation for producing high
quality visualizations. The interactive volume method adaptively
samples points from non-linear solution, decimates points at run
time to fit GPU memory limits, and renders them
order-independently. The feature method improves efficiency by
sampling over feature partitions via TetGrid.
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