الصفحة 47
الصفحة 47
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Advances in Urban Ecology : Integrating Humans and Ecological Processes in Urban Ecosystems

The future of Earth’s ecosystems is increasingly influenced by the pace and patterns of urbanization. One of the greatest challenges for natural and social scientists is to understand how urbanizing regions evolve through the complex interactions between humans and ecological processes. Questions and methods of inquiry specific to our traditional disciplinary domains yield partial views that reflect different epistemologies and understandings of the world. In order to achieve the level of synthesis required to see the urban ecosystem as a whole we must change the way we pose questions and search for answers. Cities are the result of human and ecological processes occurring simultaneously in time and in space and the legacy of the simultaneous processes of the past. Urban ecology is the study of the co-evolution of human-ecological systems. Scholars of both urban systems and ecology must challenge the assumptions and world views within their disciplines and work towards a hybrid theory that builds on multiple world views.

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Advances in UAV detection, classification and tracking

Explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need for effective methods to detect, identify, and track these devices in various scenarios. This reprint provides a thorough overview of the state-of-the-art approaches for UAV detection, classification, and tracking, covering both theoretical and practical aspects.The reprint begins by introducing the basics of UAVs and their various applications, followed by a detailed overview of the challenges associated with UAV detection, classification, and tracking. The authors then present the latest techniques and algorithms used in the field, including machine-learning-based approaches, computer vision techniques, and sensor fusion techniques. The reprint also covers the challenges of real-world applications, such as dealing with occlusions, sensor noise, and environmental factors.

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Advances in Targeted Cancer Therapy

This volume is the first book to cover the general topic of targeted cancer therapy. It presents a range of targets such as tumor angiogenesis, cell cycle control and cell signalling, COX-2, apoptosis/cell survival, invasion and metastasis and approaches like kinase inhibitors, antisense, and antibody-based therapeutics. The emphasis is on preclinical development, including target validation, development of biomarkers, strategies for combination approaches, and development of resistance. The particular challenges involved in translating these data to clinical application are discussed.

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Advances in Structural Engineering - Optimization : Emerging Trends in Structural Optimization

An up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches.

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Advances in spatial and temporal databases ; 7th International symposium, SSTD 2001, Redondo Beach, CA, USA, July 12-15, 2001 Proceedings

The Seventh International Symposium on Spatial and Temporal Databases (SSTD 2001), held in Redondo Beach, CA, USA, July 12{15, 2001, brought together leading researchers and developers in the area of spatial, temporal, and spatio-temporal databases to discuss the state of the art in spatial and temporal data management and applications, and to understand the challenges and - search directions in the advancing area of data management for moving objects. The symposium served as a forum for disseminating research in spatial and temporal data management, and for maximizing the interchange of knowledge among researchers from the established spatial and temporal database com- nities. The exchange of research ideas and results not only contributes to the academic arena, but also bene ts the user and commercial communities.

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Advances in Robot Control : From Everyday Physics to Human-Like Movements

This volume provides a unique collection of papers written in honor of the 70th birthday of Suguru Arimoto who has long been recognized as a pioneer in the field of robot control. A variety of his research is reflected in this book, which includes contributions from leading experts in the field, who have also been closely associated with Suguru Arimoto at various stages in his distinguished career. The book is build around two themes: the physics-based robot control for coping with the so-called everyday physics problems on one hand, and the challenge of reproducing beautiful, human-like movements on the other hand. These themes defined much of Arimoto’s research in the field of robot control and are the cornerstones of his perception of human robotics.

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Advances in pervasive computing and networking

"Pervasive Computing and Networking aim at providing ubiquitous, ever-present, adaptable, smart, enveloping and immersive environments in which computing components and humans can interact regardless of the location. The combination of an abundance of computational power of the processors and the communication bandwidth provided by the wireless and mobile networking everywhere and all the time makes such environments within the reach of current technology. Yet, to realize the full potential of such environments, many technical and economical challenges needs to be overcome. These challenges and the perspective on the seminal directions of the research in this area were the subject of the Workshop for Pervasive Computing and Networking at Rensselaer Polytechnic Institute, Troy, NY, USA.

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Advances in multiple Sclerosis and Experimental Demyelinating Diseases

Challenging Charcot’s hypothesis that inflammatory response is the primary contributor to demyelination, Dr. Rodriguez and colleagues take a fresh, bold look at the causes and possible treatments of MS.Assuming oligodendrocyte injury as a prerequisite to MS, the authors explore viruses, toxins and genetic defects as possible culprits. They present novel methods to interrupt and reverse demyelination. This book examines the correlation between axonal loss and clinical deficits, including the implied role of the CD8+ T cell and perforin. It assesses proteases, specifically, kallikrein 6, which are strongly associated with active demyelination. By directing natural autoantibodies against oligodendrocytes that demonstrate remyelination in animal models, the authors envision clinical trials for remyelination enhancement.

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Advances in mathematical economics ; Vol. 9

A lot of economic problems can formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who were seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking for effective mathematical tools for their researchers.

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Advances in mathematical economics ; Vol. 8

The series is designed to bring together those mathematicians who were seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking for effective mathematical tools for their researchers.

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Advances in mathematical economics ; Vol. 11

A lot of economic problems can formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who were seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking for effective mathematical tools for their researchers.

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Advances in mathematical economics ; Vol. 10

The series is designed to bring together those mathematicians who were seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking for effective mathematical tools for their researchers.

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Advances in Material Forming ; Esaform 10 years on

This book groups the main advances in material forming, considering different p- cesses (conventional and non-conventional) focusing in polymers, composites and metals, that are analyzed from the state of the art, describing the most significant recent advances and identifying the present challenges from the experimental, modeling and numerical points of view. Chapters include a large list of references and have been wr- ten by recognized specialists. Special emphasis is devoted to the contributions of the European Scientific Association on Material Forming (ESAFORM) during the last 10 years (1998-2007) and in particular the ones coming from its annual international conference. The first chapter includes an excellent introduction to the Esaform association.

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Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry ; International Conference, MDA 2006/2007, Leipzig, Germany, July 18, 2007, Selected Papers

The automatic analysis of images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers, and other sensors have found their way into wide fields of medicine, biotechnology, economy, and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The goals of this: Provide a forum for identifying important contributions and opportunities for research on mass data analysis on microscopic images Promote the systematic study of how to apply automatic image analysis and interpretation procedures to that field Show case applications of mass data analysis in biology, medicine, and chemistry Topics of interest include (but are not limited to): Techniques and developments of signal and image producing procedures Object matching and object tracking in microscopic and video microscopic images 1D, 2D, and 3D shape analysis and description

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Advances in management research : Emerging challenges and trends

Provides a wide range of paradigmatic and theoretical substantive research articles in management research.

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Advances in intelligent data analysis VI ; 6th International symposium on intelligent data analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings

One of the superb characteristics of Intelligent Data Analysis (IDA) is that it is an interdisciplinary ?eld in which researchers and practitioners from a number of areas are involved in a typical project. This also creates a challenge in which the success of a team depends on the participation of users and domain experts who need to interact with researchers and developers of any IDA system. All this is usually re?ected in successful projects and of course on the papers that were evaluated by this year’s program committee from which the ?nal program has been developed. In our call for papers, we solicited papers on (i) applications and tools, (ii) theory and general principles, and (iii) algorithms and techniques. We received a total of 184 papers, In the end 46 papers were accepted, which are all included in the proceedings and presented at the conference. This year’s papers re?ect the results of applied and theoretical researchfrom a number of disciplines all of which are related to the ?eld of Intelligent Data Analysis. To have the best combination of theoretical and applied research and also provide the best focus.

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Advances in Integrated Soil Fertility Research in sub-Saharan Africa : Challenges and Opportunities

Food insecurity is a central concern and a fundamental challenge for human welfare and economic growth in Africa. Low agricultural production, results in low incomes, poor nutrition, vulnerability to risks and lack of empowerment. Land degradation and soil fertility depletion are considered the major threats to food security and natural resource conservation in sub-Saharan Africa (SSA). Investments in technology, policy and institutional reforms are needed to increase agricultural productivity to ensure food security and sustained national economies. Past research has generated numerous soil fertility management technologies which if adopted could propel the African continent out of the poverty trap. However, these technologies have had little, if any, impact due to low adoption by the smallholder farmers.

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Advances in information system development : New methods and practice for the networked society ; Vol. 2

These volume on Information Systems Development examine the exchange of ideas between academia and industry and aims to explore new solutions. The field of Information Systems Development (ISD) progresses rapidly, continually creating new challenges for the professionals involved. New concepts, approaches and techniques of systems development emerge constantly in this field.

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Advances in image enhancement

In the era of the internet of things, images have played important roles in human–computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques.

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