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The book provides a concise focussed guide to the main management
areas that are essential to the success of modern construction
projects. The concepts, principles and applications in the seven
main management areas that are essential to the success of
construction projects are presented. It links in with The CIOB's
Education Framework is recommended reading for The CIOB.
The book provides a concise focussed guide to the main management
areas that are essential to the success of modern construction
projects. The concepts, principles and applications in the seven
main management areas that are essential to the success of
construction projects are presented. It links in with The CIOB's
Education Framework is recommended reading for The CIOB.
The second edition of Chronic Pain now covers a vast scientific and
clinical arena, with the scientific background and therapeutic
options much expanded. In common with the other titles comprising
Clinical Pain Management, the volume gathers together the available
evidence-based information in a reader-friendly format without
unnecessary detail, and is divided into three parts. The broad
coverage under Part One encompasses basic science, including
applied psychology, genetics and epidemiology, through societal
aspects of chronic pain and disability, to patient assessment,
diagnostic procedures and outcome measures. Part Two considers the
different therapies available, including pharmacological,
psychological, behavioural, interventional and alternative. In Part
Three specific and non-specific pain syndromes and their management
are described, including pain in neurological disease, in HIV and
AIDS patients, and after surgery or spinal cord injury, regional
pain in the head, face, neck, back, joints, chest, abdomen and
pelvis, and issues related to pain in children, the elderly and in
association with substance misuse.
It is hard to deny that today's world can seem downright hostile
toward Christians. Some may look down at their iPhones when we
mention God, motion for the check when we bring up church, or
casually change the subject when we talk about prayer. In a world
full of people whose indifference is greater than their desire to
know Christ, how can we dream of growing the church?
In "Contagious Disciple Making," David Watson and Paul Watson
map out a simple method that has sparked an explosion of homegrown
churches in the United States and around the world. A companion to
Cityteam's two previous books, "Miraculous Movements" and "The
Father Glorified," "Contagious Disciple Making" details the method
used by Cityteam disciple-makers. This distinctive process focuses
on equipping spiritual leaders in communities where churches are
planted. Unlike many evangelism and church-growth products that
focus on quick results, contagious disciple-making takes time to
cultivate spiritual leadership, resulting in lasting
disciple-making movements. Through "Contagious Disciple Making"
readers will come to understand that a strong and equipped leader
will continue to grow the church long after church planters move on
to the next church.
Features include:
- Glossary of terms
- Engagement tools for use in the field
- Practical techniques to equip others to make disciples
Ice Ghosts weaves together the epic story of the Lost Franklin
Expedition of 1845-whose two ships and crew of 129 were lost to the
Arctic ice-with the tale of the incredible discovery of the
flagship's wreck in 2014. Paul Watson, who was on the icebreaker
that led the discovery expedition, tells a fast-paced historical
adventure story: Sir John Franklin and the crew of the HMS Erebus
and Terror setting off in search of the fabled Northwest Passage,
the hazards they encountered and the reasons they were forced to
abandon ship hundreds of miles from the nearest outpost of
civilization, and the decades of searching that exposed rumours of
cannibalism and a few scattered papers and bones-until a
combination of Inuit lore and the latest science yielded a
discovery for the ages.
After one too many late night discussions, football journalist Paul
Watson and his mate Matthew Conrad decide to find the world's worst
national team, become naturalised citizens of that country and play
for them - achieving their joint boyhood dream of playing
international football and winning a 'cap'. They are thrilled when
Wikipedia leads them to Pohnpei, a tiny, remote island in the
Pacific whose long-defunct football team is described as 'the
weakest in the world'. They contact Pohnpei's Football Association
and discover what it needs most urgently is leadership. So Paul and
Matt travel thousands of miles, leaving behind jobs, families and
girlfriends to train a rag-tag bunch of novice footballers who
barely understand the rules of the game. Up Pohnpei tells the story
of their quest to coach the team and eventually, organise an
international fixture - Pohnpei's first since a 16-1 defeat many
years ago. With no funding, a population whose obesity rate is 90
percent and toad-infested facilities in one of the world's wettest
climates, their journey is beset by obstacles from the outset. Part
travelogue, part quest, Up Pohnpei shows how the passion and
determination of two young men can change the face of football -
and the lives of total strangers - on the other side of the world.
Are you about to embark on a research project for the first time?
Unsure which data collection methods are right for your study?
Don't know where to start? By presenting the reader with a series
of key research management questions, this book introduces the
novice researcher to a range of research designs and data
collection methods. Building an understanding of these choices and
how they can impact on the dissertation itself will lead to a more
robust and rigorous dissertation study. This book is designed to
direct your research choices with informative text and key
questions, advice from "virtual supervisors" and reflections from
students. Lists of suggested further reading also help to support
you on your journey to developing an organised and successful
dissertation project. Researchers seeking support on their journey
to a successful dissertation will find this book a valuable
resource.
This book provides a complete and comprehensive reference/guide to
Pyomo (Python Optimization Modeling Objects) for both beginning and
advanced modelers, including students at the undergraduate and
graduate levels, academic researchers, and practitioners. The text
illustrates the breadth of the modeling and analysis capabilities
that are supported by the software and support of complex
real-world applications. Pyomo is an open source software package
for formulating and solving large-scale optimization and operations
research problems. The text begins with a tutorial on simple linear
and integer programming models. A detailed reference of Pyomo's
modeling components is illustrated with extensive examples,
including a discussion of how to load data from data sources like
spreadsheets and databases. Chapters describing advanced modeling
capabilities for nonlinear and stochastic optimization are also
included. The Pyomo software provides familiar modeling features
within Python, a powerful dynamic programming language that has a
very clear, readable syntax and intuitive object orientation. Pyomo
includes Python classes for defining sparse sets, parameters, and
variables, which can be used to formulate algebraic expressions
that define objectives and constraints. Moreover, Pyomo can be used
from a command-line interface and within Python's interactive
command environment, which makes it easy to create Pyomo models,
apply a variety of optimizers, and examine solutions. The software
supports a different modeling approach than commercial AML
(Algebraic Modeling Languages) tools, and is designed for
flexibility, extensibility, portability, and maintainability but
also maintains the central ideas in modern AMLs.
This book provides a complete and comprehensive guide to Pyomo
(Python Optimization Modeling Objects) for beginning and advanced
modelers, including students at the undergraduate and graduate
levels, academic researchers, and practitioners. Using many
examples to illustrate the different techniques useful for
formulating models, this text beautifully elucidates the breadth of
modeling capabilities that are supported by Pyomo and its handling
of complex real-world applications. In the third edition, much of
the material has been reorganized, new examples have been added,
and a new chapter has been added describing how modelers can
improve the performance of their models. The authors have also
modified their recommended method for importing Pyomo. A big change
in this edition is the emphasis of concrete models, which provide
fewer restrictions on the specification and use of Pyomo models.
Pyomo is an open source software package for formulating and
solving large-scale optimization problems. The software extends the
modeling approach supported by modern AML (Algebraic Modeling
Language) tools. Pyomo is a flexible, extensible, and portable AML
that is embedded in Python, a full-featured scripting language.
Python is a powerful and dynamic programming language that has a
very clear, readable syntax and intuitive object orientation. Pyomo
includes Python classes for defining sparse sets, parameters, and
variables, which can be used to formulate algebraic expressions
that define objectives and constraints. Moreover, Pyomo can be used
from a command-line interface and within Python's interactive
command environment, which makes it easy to create Pyomo models,
apply a variety of optimizers, and examine solutions.
Are you about to embark on a research project for the first time?
Unsure which data collection methods are right for your study?
Don't know where to start? By presenting the reader with a series
of key research management questions, this book introduces the
novice researcher to a range of research designs and data
collection methods. Building an understanding of these choices and
how they can impact on the dissertation itself will lead to a more
robust and rigorous dissertation study. This book is designed to
direct your research choices with informative text and key
questions, advice from "virtual supervisors" and reflections from
students. Lists of suggested further reading also help to support
you on your journey to developing an organised and successful
dissertation project. Researchers seeking support on their journey
to a successful dissertation will find this book a valuable
resource.
This book provides a complete and comprehensive guide to Pyomo
(Python Optimization Modeling Objects) for beginning and advanced
modelers, including students at the undergraduate and graduate
levels, academic researchers, and practitioners. Using many
examples to illustrate the different techniques useful for
formulating models, this text beautifully elucidates the breadth of
modeling capabilities that are supported by Pyomo and its handling
of complex real-world applications. In the third edition, much of
the material has been reorganized, new examples have been added,
and a new chapter has been added describing how modelers can
improve the performance of their models. The authors have also
modified their recommended method for importing Pyomo. A big change
in this edition is the emphasis of concrete models, which provide
fewer restrictions on the specification and use of Pyomo models.
Pyomo is an open source software package for formulating and
solving large-scale optimization problems. The software extends the
modeling approach supported by modern AML (Algebraic Modeling
Language) tools. Pyomo is a flexible, extensible, and portable AML
that is embedded in Python, a full-featured scripting language.
Python is a powerful and dynamic programming language that has a
very clear, readable syntax and intuitive object orientation. Pyomo
includes Python classes for defining sparse sets, parameters, and
variables, which can be used to formulate algebraic expressions
that define objectives and constraints. Moreover, Pyomo can be used
from a command-line interface and within Python's interactive
command environment, which makes it easy to create Pyomo models,
apply a variety of optimizers, and examine solutions.
Ice Ghosts weaves together the epic story of the Lost Franklin
Expedition of 1845—whose two ships and crew of 129 were lost to
the Arctic ice—with the tale of the incredible discovery of the
flagship’s wreck in 2014. Paul Watson, who was on the icebreaker
that led the discovery expedition, tells a fast-paced historical
adventure story: Sir John Franklin and the crew of the HMS Erebus
and Terror setting off in search of the fabled Northwest Passage,
the hazards they encountered and the reasons they were forced to
abandon ship hundreds of miles from the nearest outpost of
civilization, and the decades of searching that exposed rumours of
cannibalism and a few scattered papers and bones—until a
combination of Inuit lore and the latest science yielded a
discovery for the ages.
How can we engage critically with music video and its role in
popular culture? What do contemporary music videos have to tell us
about patterns of cultural identity today? Based around an eclectic
series of vivid case studies, this fresh and timely examination is
an entertaining and enlightening analysis of the forms, pleasures,
and politics that music videos offer. In rethinking some classic
approaches from film studies and popular music studies and
connecting them with new debates about the current 'state' of
feminism and feminist theory, Railton and Watson show why and how
we should be studying music videos in the twenty-first century.
Through its thorough overview of the music video as a visual
medium, this is an ideal textbook for Media Studies students and
all those with an interest in popular music and cultural studies.
Key Features * Provides a framework for how to describe and analyse
a music video. * Uses case studies from internationally well-know
artists, such as Kylie, Shakira and Beyonce to explore issues of
representation of gender, sexuality and ethnicity. * Draws on
classic and contemporary videos from a range of musical styles,
from Lady Gaga and Christina Aguilera to Gorillaz and Metallica.
This volume collects the accepted papers presented at the Learning
and Intelligent OptimizatioN conference (LION 2007 II) held
December 8-12, 2007, in Trento, Italy. The motivation for the
meeting is related to the current explosion in the number and
variety of heuristic algorithms for hard optimization problems,
which raises - merous interesting and challenging issues.
Practitioners are confronted with the b- den of selecting the most
appropriate method, in many cases through an expensive algorithm
configuration and parameter-tuning process, and subject to a steep
learning curve. Scientists seek theoretical insights and demand a
sound experimental meth- ology for evaluating algorithms and
assessing strengths and weaknesses. A necessary prerequisite for
this effort is a clear separation between the algorithm and the
expe- menter, who, in too many cases, is "in the loop" as a crucial
intelligent learning c- ponent. Both issues are related to
designing and engineering ways of "learning" about the performance
of different techniques, and ways of using memory about algorithm
behavior in the past to improve performance in the future.
Intelligent learning schemes for mining the knowledge obtained from
different runs or during a single run can - prove the algorithm
development and design process and simplify the applications of
high-performance optimization methods. Combinations of algorithms
can further improve the robustness and performance of the
individual components provided that sufficient knowledge of the
relationship between problem instance characteristics and algorithm
performance is obtained.
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