|
Showing 1 - 25 of
200 matches in All Departments
The overall objective of Reservoir Eutrophication: Preventive
Management is to present the environmental and anthropogenic
factors associated with the process of eutrophication and algal
blooms in the Rio Verde reservoir and propose lake use and
management technologies in order to minimize the problem.
Eutrophication process in Rio Verde reservoir with the occurrence
of intense algal blooms is a consequence of the interconnection of
different climatological, hydrological, morphological,
physico-chemical and biological factors, which occur not only in
the watershed but also in the reservoir. Reservoir Eutrophication:
Preventive Management compiles the information gathered from the
development of a broad research program in Rio Verde watershed,
from 2008 until 2010. Rio Verde reservoir, which was built in 1976,
is located in the Metropolitan Region of Curitiba, capital of the
state of Parana in South Brazil. This reservoir is mainly used for
supplying water to one of PETROBRAS Refinery. However, the
reservoir is to be used for supplying drinking water to the
population and that is why better understanding this system
dynamics is a great concern. The book is the result of an
interdisciplinary research program, which has involved more than
150 researchers, with the aim of defining a watershed management
preventive system in order to prevent eutrophication processes.
This way, the book combines academic rigor with practical
applicability and is of interest for both researchers and
technologists working in watershed management. Reservoir
Eutrophication: Preventive Management is of interest to researchers
and technologists that wish to examine specific characteristics of
tropical climates. It is of specific interest to developing
countries and for researchers interested in knowing the developed
methodology adapted for temperate conditions.
The last decade has seen a renewed recognition of the
interconnection of the mental and physical wellbeing of people
living with mental diseases. Research has assessed the impact of
exercise and psychological interventions as monotherapy and
complementary treatments to usual care and found considerable
benefits to reduce psychiatric symptoms and improve quality of
life. Questions remain on the effectiveness and on the best
practices to deliver such interventions. Combining Exercise and
Psychotherapy to Treat Mental Health evaluates the effects of
psychotherapy and exercise interventions in individuals with mental
health diseases. The book also addresses psychotherapy and exercise
interventions for mental health followed by combined psychotherapy
and exercise interventions and provides strategies for maintaining
exercise involvement. Covering key topics such as anxiety
disorders, psychology, exercise, and mood disorders, this premier
reference source is ideal for therapists, mental health
specialists, psychologists, industry professionals, researchers,
academicians, scholars, practitioners, instructors, and students.
This book explores a number of important issues in the area of
occupational safety and hygiene. Presenting both research and best
practices for the evaluation of occupational risk, safety and
health in various types of industry, it particularly focuses on
occupational safety in automated environments, innovative
management systems and occupational safety in a global context. The
different chapters examine the perspectives of all those involved,
such as managers, workers and OSH professionals. Based on selected
contributions presented at the 16th International Symposium on
Occupational Safety and Hygiene (SHO 2020), held on 6-7 April,
2020, in Porto, Portugal, the book serves as a timely reference
guide and source of inspiration to OSH researchers, practitioners
and organizations operating in a global context.
This book reviews the state of the art in deep learning approaches
to high-performance robust disease detection, robust and accurate
organ segmentation in medical image computing (radiological and
pathological imaging modalities), and the construction and mining
of large-scale radiology databases. It particularly focuses on the
application of convolutional neural networks, and on recurrent
neural networks like LSTM, using numerous practical examples to
complement the theory. The book's chief features are as follows: It
highlights how deep neural networks can be used to address new
questions and protocols, and to tackle current challenges in
medical image computing; presents a comprehensive review of the
latest research and literature; and describes a range of different
methods that employ deep learning for object or landmark detection
tasks in 2D and 3D medical imaging. In addition, the book examines
a broad selection of techniques for semantic segmentation using
deep learning principles in medical imaging; introduces a novel
approach to text and image deep embedding for a large-scale chest
x-ray image database; and discusses how deep learning relational
graphs can be used to organize a sizable collection of radiology
findings from real clinical practice, allowing semantic
similarity-based retrieval.The intended reader of this edited book
is a professional engineer, scientist or a graduate student who is
able to comprehend general concepts of image processing, computer
vision and medical image analysis. They can apply computer science
and mathematical principles into problem solving practices. It may
be necessary to have a certain level of familiarity with a number
of more advanced subjects: image formation and enhancement, image
understanding, visual recognition in medical applications,
statistical learning, deep neural networks, structured prediction
and image segmentation.
The contribution of tourism to create an inclusive society requires
the adoption of new approaches and strategies that promote the
accessibility of tourism destinations, allowing all people,
regardless of their health condition, to enjoy tourism experiences.
To accomplish this objective, it is of utmost relevance to promote
the active involvement of all stakeholders of the tourism system
(demand, supply, government entities, and educational institutions)
in the creation of accessible and adapted tourism products.
However, the scarce literature in this area suggests that the
people working in the tourism industry are not usually aware of
several needs and travel constraints of persons with disabilities
and that the information delivered by traditional information
sources to this market is frequently inadequate, inaccurate, or
incomplete. Therefore, the information and communication
technologies (ICTs) may have a crucial role to overcome the several
travel constraints that these people face to plan and carry out a
tourism trip as well as to enable supply agents to develop
accessible tourism products. Despite this, although in recent years
research regarding accessible tourism has increased, the number of
studies on the contributions of ICTs for the development of
accessible research is scarce. ICT Tools and Applications for
Accessible Tourism provides theoretical and practical contributions
for accessible tourism in the growing tourism market for social
responsibility issues and as an excellent business opportunity.
Chapters within this critical reference source cover the academic
discussion of global accessible tourism, increased knowledge of
disabilities, ICTs that can be used, and emerging technologies.
This book is intended for all practitioners in the tourism industry
along with IT specialists, government officials, policymakers,
marketers, researchers, academicians, and students who are
interested in the latest tools, technologies, and research on
accessible tourism.
Since the dawn of human speech and interaction, there have been
conflicts among individuals, regions, and whole nations.
Disagreements, miscommunications, no matter the name they take;
conflicts will continue to be present in every field of work or
study. New technologies such as social media have extended people's
ability to communicate, and therefore dispute, making additional
research and practical solutions for resolving conflict all the
more necessary.Interdisciplinary Perspectives on Contemporary
Conflict Resolution presents theoretical perspectives on the causes
of diverse conflicts, approaches novel disputes and the technology
associated therein, and provides readers with multifaceted
solutions to the myriad of potential arguments and disagreements
that arise as part of the human condition. This interdisciplinary
publication is a critical resource for researchers, legal
practitioners, policy makers, government officials, and students
and educators in the fields of political science, communication
studies, and business.
This PIBR volume examines a number of idiosyncratic elements in the
internationalization strategies of BRIC MNEs and, in particular, in
their relationship with home country policies: 1. The theoretical
challenge: do we need different or more specific theories of EMNEs
to assess the phenomenon of BRIC multinationals? 2. The empirical
challenge: what marks the changing position of BRIC countries in
the world economy? 3. The managerial challenge: with the coming of
age of a new breed of multinationals, what distinguishes BRIC
multinationals from other (emerging market) multinationals? 4. The
policy making challenge: what impact have MNEs from BRIC countries
had on their domestic economy?
This book studies how technological solutions can be used to
alleviate the current state of legal systems, with their clogged up
courtrooms and inefficient conflict resolution methods. It reviews
the shortcomings and disadvantages of traditional and alternative
conflict resolution methods and turns to Artificial Intelligence
for problem-solving techniques and solutions. The book is divided
into four parts. The first part presents a general and systematic
analysis of the current state of the legal systems, identifying the
main problems and their causes.It then moves on to present UM
Court: a framework for testing and prototyping conflict resolution
services. This framework was developed with the objective of using
Artificial Intelligence techniques to build a service environment
for conflict resolution. The third part of the book takes a step
into the future by analyzing the use of Intelligent Environments in
the support of conflict management and resolution. It describes the
approach taken and the experiments performed in the Intelligent
Systems Lab of the University of Minho. The final part of the book
contains the conclusions and shows the potential advantages of the
use of Intelligent Environments as a way to implement better
conflict resolution procedures (virtual or real), in which all the
participants have access to more and better information and are
able to take better informed decisions."
Is history more than (in Boswell's words) a chronological series of
remarkable events'? Does it have a pattern? Is it fraught with
meaning'? Can we discern its trends? What determines its course? In
short, can a substantial and coherent philosophy of history be
devised that offers answers to these questions? These issues, which
have intrigued -and bedeviled - historians for centuries, are
explored in this thoughtful book.
This book gathers cutting-edge research and best practices relating
to occupational risk and safety management, healthcare, and
ergonomics. It covers strategies for different industries, such as
construction, chemical and healthcare. It emphasizes challenges
posed by automation, discusses solutions offered by technologies,
and reports on case studies carried out in different countries.
Chapters are based on selected contributions to the 20th
International Symposium on Occupational Safety and Hygiene (SHO
2023), held on July 20-21, 2023, in Portugal, as a hybrid event. By
reporting on different perspectives, such as the ones from
managers, employees, and OSH professionals, and covering timely
issues, such as implications of telework, issues related to gender
inequality and applications of machine learning techniques in
occupational health, this book offers extensive information and a
source of inspiration to OSH researchers, practitioners and
organizations operating in both local and global contexts.
This volume offers a reappraisal of the topic of scientific and
technological traveling and takes the viewpoint of the European
peripheries, including case studies of Portugal, Spain, Greece,
Turkey, Russia, Hungary and the Scandinavian countries. It
contributes to the clarification of mechanisms of appropriation of
scientific ideas, instruments, practices and of technological
expertise. It is of interest to scholars and students of history
and philosophy of science and technology, cultural and social
history, science, technology and society studies.
Provides strong and accessible theoretical bases to swarm
intelligence algorithms, from particle optimization to bioinspired
and meta-heuristic algorithms Presents emerging meta-heuristic
algorithms and applications Provides overviews on Python and R
based computing libraries for swarm intelligence and meta-heuristic
algorithms Presenting real-world applications, especially on
Industry, Medicine and Biology.
Biotechnology involves an interdisciplinary science that provides
an interface between biological, molecular and cellular aspects of
living organisms with broad technologies applicable in the fields
of health, environment and materials. This book “Biotechnology
applied to inflammatory diseases: Cellular mechanisms and
nanomedicine” is focused on elaborating especially on two trendy
areas from Biotechnology. In this volume, different inflammatory
pathologies in terms of cellular and molecular mechanisms are
characterized to better understand the science behind current
precision medicine. The second part of the book focuses on the main
biotechnological advancements for the understanding of the
molecular mechanisms involved in the progression of various types
of inflammatory diseases, highlighting up-to-date contributions of
nanomedicine. The reader will be able to explore the utilization of
technologies for various inflammatory diseases and will be able to
enable an engaging and valuable knowledge for further research and
clinically applied scenarios.
This book gathers cutting-edge research and best practices relating
to occupational risk and safety management, healthcare and
ergonomics. It covers strategies for different industries, such as
construction, chemical and healthcare. It emphasises challenges
posed by automation, discusses solutions offered by technologies,
and reports on case studies carried out in different countries.
Chapters are based on selected contributions to the 18th
International Symposium on Occupational Safety and Hygiene (SHO
2022), held on September 8-9, 2022, in Porto, Portugal. By
reporting on different perspectives, such as the ones from
managers, workers and OSH professionals, and covering timely
issues, such as implications of telework ,issues related to gender
inequality and applications of machine learning techniques in
occupational health, this book offers extensive information and a
source of inspiration to OSH researchers, practitioners and
organizations operating in both local and global contexts.
Primary Language Impact on Second Language and Literacy Learning:
Linguistically Responsive Strategies for Classroom Teachers
provides educators with foundational knowledge on how students'
native languages influence their learning of English language and
literacy. Linguistically diverse students increasingly populate
current classrooms, and it is important for educators to have
general linguistic and cross-linguistic knowledge to provide
students with equitable access to the language and content of
school. By discussing English language learners' (ELLs) primary
language norms, positive and negative transfer, and culturally
sustaining resources, this book helps educators understand how to
support ELLs' use of their primary language as an asset when
engaging in English language and literacy learning experiences.
Provides strong and accessible theoretical bases to swarm
intelligence algorithms, from particle optimization to bioinspired
and meta-heuristic algorithms Presents emerging meta-heuristic
algorithms and applications Provides overviews on Python and R
based computing libraries for swarm intelligence and meta-heuristic
algorithms Presenting real-world applications, especially on
Industry, Medicine and Biology.
This collection features four peer-reviewed reviews on restoring
degraded forests. The first chapter reviews the restoration of
tropical forests, focusing specifically on forest landscape
restoration (FLR). It addresses the importance of implementing FLR
and provides two detailed case studies to demonstrate this. The
chapter concludes with a discussion on the challenges and
opportunities in taking FLR forwards. The second chapter considers
the importance of exploiting the genetics of tropical tree species
for the restoration of tropical forests. The chapter identifies and
reviews the available methods to measure genetic diversity and
suitability for future plantation establishment, including field
trials and molecular markers. The third chapter provides an
overview of ecosystem services delivered by tropical agroforestry
systems (AFS). The chapter reviews practical approaches for
trade-off analysis between ecosystem services and plant
biodiversity for better design (or redesign), as well as the
sustainable management of AFS. The final chapter discusses how
measuring, monitoring and managing the environmental impact of
plantation operations are key components in sustainable palm oil
production. The chapter examines the operational impacts of oil
palm cultivation on biodiversity, as well as how oil palm
production can be balanced to ensure forest conservation.
|
|