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Adapting to a Changing World--Challenges and Opportunities in Undergraduate Physics Education

by National Research Council Division on Engineering and Physical Sciences Board on Physics and Astronomy Committee on Undergraduate Physics Education Research and Implementation

Adapting to a Changing World was commissioned by the National Science Foundation to examine the present status of undergraduate physics education, including the state of physics education research, and, most importantly, to develop a series of recommendations for improving physics education that draws from the knowledge we have about learning and effective teaching. Our committee has endeavored to do so, with great interest and more than a little passion. The Committee on Undergraduate Physics Education Research and Implementation was established in 2010 by the Board on Physics and Astronomy of the National Research Council. This report summarizes the committee's response to its statement of task, which requires the committee to produce a report that identifies the goals and challenges facing undergraduate physics education and identifies how best practices for undergraduate physics education can be implemented on a widespread and sustained basis, assess the status of physics education research (PER) and discuss how PER can assist in accomplishing the goal of improving undergraduate physics education best practices and education policy.

Adaptive Agricultural Practices: Building Resilience in a Changing Climate (SpringerBriefs in Environmental Science)

by Pradeep Kumar Dubey Gopal Shankar Singh Purushothaman Chirakkuzhyil Abhilash

This brief explores several adaptive agricultural practices from around the world to fulfill current and future agricultural demands for food security due to the challenges posed by climate change and growing global population. Readers will discover how farmers adapt to environmental changes by adopting various agronomic practices at crop, farm and landscape levels. Particular attention is given to systemic and transformational adaptation strategies employed by farmers such as mulching, organic farming and crop diversification. This is a highly informative and carefully presented book that provides insights on how crops can build up resilience against periods of drought, high salinity, disasters such as floods, and diseases. The policy implications and future prospects of these adaptation strategies are also addressed. Environmental and plant scientists, agronomists and researchers in climate sciences will find this book interesting.

Adaptive Capacity and Environmental Governance (Springer Series on Environmental Management)

by Derek Armitage Ryan Plummer

Rapid environmental change calls for individuals and societies with an ability to transform our interactions with each other and the ecosystems upon which we depend. Adaptive capacity - the ability of a social-ecological system (or the components of that system) to be robust to disturbances and capable of responding to changes - is increasingly recognized as a critical attribute of multi-level environmental governance. This unique volume offers the first interdisciplinary and integrative perspective on an emerging area of applied scholarship, with contributions from internationally recognized researchers and practitioners. It demonstrates how adaptive capacity makes environmental governance possible in complex social-ecological systems. Cutting-edge theoretical developments are explored and empirical case studies offered from a wide range of geographic settings and natural resource contexts, such as water, climate, fisheries and forestry. * Of interest to researchers, policymakers and resource managers seeking to navigate and understand social-ecological change in diverse geographic settings and resource contexts

Adaptive Collaborative Approaches in Natural Resource Governance: Rethinking Participation, Learning and Innovation (Earthscan Studies in Natural Resource Management)

by Andy Hall Hemant R. Ojha Sulaiman V. Rasheed

The purpose of this book is to showcase a range of approaches that consider learning and collaboration as central processes in agriculture and natural resources governance and management. These include four related and overlapping adaptive collaborative approaches – Adaptive Collaborative Management, Participatory Action Research, Social Learning and Innovation Systems. Despite these being generated in different institutional domains with somewhat diverse epistemological and policy orientations, the authors show that there are common themes among these approaches. The book presents a review of various adaptive and collaborative approaches to management developed to cope with the social and biophysical complexity of natural resource systems, including case studies from Bangladesh, Ecuador, Nepal and Zimbabwe. The contexts range from farmer field schools, to floodplain management and community forestry. The authors provide rich accounts of how adaptive collaborative approaches were applied to synergise different types of learning, foster collaboration among stakeholders, and nurture innovative development processes. Through its introduction and conclusion chapters, the book establishes a clear theoretical approach and identifies a set of practical methodologies for combining different systems of knowledge in a way that generates and maximizes innovation and the translation of research into practice.

Adaptive Collaborative Management in Forest Landscapes: Villagers, Bureaucrats and Civil Society (The Earthscan Forest Library)

by Carol J. Pierce Colfer, Ravi Prabhu, and Anne M. Larson

This book examines the value of Adaptive Collaborative Management for facilitating learning and collaboration with local communities and beyond, utilising detailed studies of forest landscapes and communities. Many forest management proposals are based on top-down strategies, such as the Million Tree Initiatives, Forest Landscape Restoration (FLR) and REDD+, often neglecting local communities. In the context of the climate crisis, it is imperative that local peoples and communities are an integral part of all decisions relating to resource management. Rather than being seen as beneficiaries or people to be safeguarded, they should be seen as full partners, and Adaptive Collaborative Management is an approach which priorities the rights and roles of communities alongside the need to address the environmental crisis. The volume presents detailed case studies and real life examples from across the globe, promoting and prioritizing the voices of women and scholars and practitioners from the Global South who are often under-represented. Providing concrete examples of ways that a bottom-up approach can function to enhance development sustainably, via its practitioners and far beyond the locale in which they initially worked, this volume demonstrates the lasting utility of approaches like Adaptive Collaborative Management that emphasize local control, inclusiveness and local creativity in management. This book will be of great interest to students, scholars and practitioners working in the fields of conservation, forest management, community development and natural resource management and development studies more broadly.

Adaptive Control: Algorithms, Analysis and Applications (Communications and Control Engineering)

by Mohammed M'Saad Rogelio Lozano Ioan Doré Landau Alireza Karimi

Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time aspects of adaptive control are emphasized to reflect the importance of digital computers in the application of the ideas presented. The second edition is thoroughly revised to throw light on recent developments in theory and applications with new chapters on: multimodel adaptive control with switching, direct and indirect adaptive regulation and adaptive feedforward disturbance compensation. Many algorithms are newly presented in MATLAB® m-file format to facilitate their employment in real systems. Classroom-tested slides for instructors to use in teaching this material are also now provided. All of this supplementary electronic material can be downloaded from fill in URL. The core material is also up-dated and re-edited to keep its perspective in line with modern ideas and more closely to associate algorithms with their applications giving the reader a solid grounding in: synthesis and analysis of parameter adaptation algorithms, recursive plant model identification in open and closed loop, robust digital control for adaptive control; * robust parameter adaptation algorithms, practical considerations and applications, including flexible transmission systems, active vibration control and broadband disturbance rejection and a supplementary introduction on hot dip galvanizing and a phosphate drying furnace. Control researchers and applied mathematicians will find Adaptive Control of significant and enduring interest and its use of example and application will appeal to practitioners working with unknown- and variable-parameter plant. Praise for the first edition: ...well written, interesting and easy to follow, so that it constitutes a valuable addition to the monographies in adaptive control for discrete-time linear systems... suitable (at least in part) for use in graduate courses in adaptive control.

Adaptive Decision Making and Intellectual Styles (SpringerBriefs in Psychology #13)

by Salvatore Ammirato Francesco Sofo Cinzia Colapinto Michelle Sofo

This exciting publication provides the reader with a theoretical and practical approach to adaptive decision making, based on an appreciation of cognitive styles, in a cross-cultural context. The aim of this Brief is to describe the role of thinking-through different options as part of the decision-making process. Since cognitive style influences decision behavior, the book will first examine thinking styles, which involve both cognitive and emotive elements, as habits or preferences that shape and empower one's cognition and emotion. The information contained in this Brief will be a useful resource to both researchers studying decision making as well as to instructors in the higher education sector and to human resource development practitioners, especially those working in international, multi-cultural companies.

Adaptive Disaster Risk Assessment: Combining Multi-Hazards with Socioeconomic Vulnerability and Dynamic Exposure (IHE Delft PhD Thesis Series)

by Neiler Medina Pena

Climate change, combined with the rapid and often unplanned urbanisation trends, is associated with a rising trend in the frequency and severity of disasters triggered by natural hazards. In order to face the impacts of such threats, it is necessary to have an appropriate Disaster Risk Assessment (DRA). Traditional DRA approaches for disaster risk reduction (DRR) have focused mainly on the hazard component of risk, with little attention to the vulnerability and the exposure components. To address this issue, this dissertation’s main objective is to develop and test a disaster risk modelling framework that incorporates socioeconomic vulnerability and the adaptive nature of exposure associated with human behaviour in extreme hydro-meteorological events in the context of SIDS. To achieve the objective, an Adaptive Disaster Risk Assessment (ADRA) framework is proposed. ADRA uses an index-based approach (PeVI) to assess the socioeconomic vulnerability using three components: susceptibility, lack of coping capacities, and lack of adaptation. Furthermore, ADRA explicitly incorporates the exposure component using two approaches; first, a logistic regression model was built using the actual evacuation rates observed during Hurricane Irma, and second, an Agent-based model is used to simulate how households change their exposure levels in relation to different sources of information

Adaptive Diversification (Monographs in Population Biology #48)

by Michael Doebeli

Understanding the mechanisms driving biological diversity remains a central problem in ecology and evolutionary biology. Traditional explanations assume that differences in selection pressures lead to different adaptations in geographically separated locations. This book takes a different approach and explores adaptive diversification--diversification rooted in ecological interactions and frequency-dependent selection. In any ecosystem, birth and death rates of individuals are affected by interactions with other individuals. What is an advantageous phenotype therefore depends on the phenotype of other individuals, and it may often be best to be ecologically different from the majority phenotype. Such rare-type advantage is a hallmark of frequency-dependent selection and opens the scope for processes of diversification that require ecological contact rather than geographical isolation. Michael Doebeli investigates adaptive diversification using the mathematical framework of adaptive dynamics. Evolutionary branching is a paradigmatic feature of adaptive dynamics that serves as a basic metaphor for adaptive diversification, and Doebeli explores the scope of evolutionary branching in many different ecological scenarios, including models of coevolution, cooperation, and cultural evolution. He also uses alternative modeling approaches. Stochastic, individual-based models are particularly useful for studying adaptive speciation in sexual populations, and partial differential equation models confirm the pervasiveness of adaptive diversification. Showing that frequency-dependent interactions are an important driver of biological diversity, Adaptive Diversification provides a comprehensive theoretical treatment of adaptive diversification.

Adaptive Dynamic Programming for Control: Algorithms and Stability (Communications and Control Engineering)

by Yanhong Luo Huaguang Zhang Ding Wang Derong Liu

There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: * infinite-horizon control for which the difficulty of solving partial differential Hamilton-Jacobi-Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; * finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; * nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: * establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; * demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and * shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.

Adaptive Dynamic Programming: For Chemotherapy Drug Delivery

by Huaguang Zhang Yang Liu Jiayue Sun Shun Xu

This open access book focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge.

Adaptive Feed-Forward Control of Low Frequency Interior Noise (Intelligent Systems, Control and Automation: Science and Engineering #56)

by Thomas Kletschkowski

This book presents a mechatronic approach to Active Noise Control (ANC). It describes the required elements of system theory, engineering acoustics, electroacoustics and adaptive signal processing in a comprehensive, consistent and systematic manner using a unified notation. Furthermore, it includes a design methodology for ANC-systems, explains its application and describes tools to be used for ANC-system design. From the research point of view, the book presents new approaches to sound source localization in weakly damped interiors. One is based on the inverse finite element method, the other is based on a sound intensity probe with an active free field. Furthermore, a prototype of an ANC-system able to reach the physical limits of local (feed-forward) ANC is described. This is one example for applied research in ANC-system design. Other examples are given for (i) local ANC in a semi-enclosed subspace of an aircraft cargo hold and (ii) for the combination of audio entertainment with ANC.

Adaptive Filters (Wiley - Ieee Ser.)

by Ali H. Sayed

Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.

Adaptive Food Webs: Stability and Transitions of Real and Model Ecosystems

by Moore Mccann Peter C. Kevin S. John C. De Ruiter Volkmar Wolters

Presenting new approaches to studying food webs, this book uses practical management and policy examples to demonstrate the theory behind ecosystem management decisions and the broader issue of sustainability. All the information that readers need to use food web analyses as a tool for understanding and quantifying transition processes is provided. Advancing the idea of food webs as complex adaptive systems, readers are challenged to rethink how changes in environmental conditions affect these systems. Beginning with the current state of thinking about community organisation, complexity and stability, the book moves on to focus on the traits of organisms, the adaptive nature of communities and their impacts on ecosystem function. The final section of the book addresses the applications to management and sustainability. By helping to understand the complexities of multispecies networks, this book provides insights into the evolution of organisms and the fate of ecosystems in a changing world.

Adaptive IIR Filtering in Signal Processing and Control (Electrical Engineering and Electronics #90)

by Phillip Regalia

Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite impulse response (IIR) filters. The choice of filter structure to adapt, algorithm design and the approximation properties for each type of algorithm are also addressed. This work recasts the theory of adaptive IIR filters by concentrating on recursive lattice filters, freeing systems from the need for direct-form filters.;A solutions manual is available for instructors only. College or university bookstores may order five or more copies at a special student price which is available upon request.

Adaptive Monitoring And Assessment For The Comprehensive Everglades Restoration Plan

by Committee on Restoration of the Greater Everglades Ecosystem

The report evaluates the plan to monitor and assess the condition of Florida's Everglades as restoration efforts proceed. The report finds that the plan is well grounded in scientific theory and principals of adaptive management. However, steps should be taken to ensure that information from those monitoring the ecology of the Everglades is readily available to those implementing the overall restoration effort. Also, the plan needs to place greater consideration on how population growth and land-use changes will affect the restoration effort and vice versa.

Adaptive Motion Compensation in Radiotherapy (Imaging in Medical Diagnosis and Therapy)

by Martin J. Murphy

External-beam radiotherapy has long been challenged by the simple fact that patients can (and do) move during the delivery of radiation. Recent advances in imaging and beam delivery technologies have made the solution-adapting delivery to natural movement-a practical reality. Adaptive Motion Compensation in Radiotherapy provides the first detailed

Adaptive Oncogenesis: A New Understanding of How Cancer Evolves inside Us

by James DeGregori DeGregori

Popular understanding holds that genetic changes create cancer. James DeGregori uses evolutionary principles to propose a new way of thinking about cancer’s occurrence. Cancer is as much a disease of evolution as it is of mutation, one in which mutated cells outcompete healthy cells in the ecosystem of the body’s tissues. His theory ties cancer’s progression, or lack thereof, to evolved strategies to maximize reproductive success. Through natural selection, humans evolved genetic programs to maintain bodily health for as long as necessary to increase the odds of passing on our genes—but not much longer. These mechanisms engender a tissue environment that favors normal stem cells over precancerous ones. Healthy tissues thwart cancer cells’ ability to outcompete their precancerous rivals. But as our tissues age or accumulate damage from exposures such as smoking, normal stem cells find themselves less optimized to their ecosystem. Cancer-causing mutations can now help cells adapt to these altered tissue environments, and thus outcompete normal cells. Just as changes in a species’ habitat favor the evolution of new species, changes in tissue environments favor the growth of cancerous cells. DeGregori’s perspective goes far in explaining who gets cancer, when it appears, and why. While we cannot avoid mutations, it may be possible to sustain our tissues’ natural and effective system of defense, even in the face of aging or harmful exposures. For those interested in learning how cancers arise within the human body, the insights in Adaptive Oncogenesis offer a compelling perspective.

Adaptive Optics Theory and Its Application in Optical Wireless Communication (Optical Wireless Communication Theory and Technology)

by Xizheng Ke Pengfei Wu

This book introduces in detail the theory of adaptive optics and its correction technology for light wave distortion in wireless optical communication. It discusses the adaptive control algorithm of wavefront distortion, proportional+integral control algorithm and iterative control algorithm, and double fuzzy adaptive PID control algorithm. It also covers the SPGD algorithm of adaptive optics correction, deformable mirrors eigenmode method of wavefront aberration correction, vortex beam wavefront detecting wavefront aberration correction, liquid crystal spatial light modulator wavefront correction, different wavelengths of Gaussian beam transmission wavefront differences in the atmospheric turbulence and correction and with wavefront tilt correction adaptive optics wavefront aberration correction. Various distortion correction methods are verified by experiments and the experimental results are analyzed. This book is suitable for engineering and technical personnel engaged in wireless optical communication, college teachers, graduate students and senior undergraduate students.

Adaptive Optics for Biological Imaging

by Joel A. Kubby

Adaptive Optics for Biological Imaging brings together groundbreaking research on the use of adaptive optics for biological imaging. The book builds on prior work in astronomy and vision science. Featuring contributions by leaders in this emerging field, it takes an interdisciplinary approach that makes the subject accessible to nonspecialists who

Adaptive Platform Trials: The Clinical Trial of the Future?

by Ariel D. Stern Sarah Mehta

In July 2017, Dr. Brian M. Alexander, president and CEO of the AGILE Research Foundation, was preparing to launch a new type of clinical trial—an adaptive platform trial—to study potential therapies for glioblastoma (GBM), an aggressive form of brain cancer. <p><p> Alexander believed that the standard way in which new cancer drugs were tested—the traditional randomized controlled trial (RCT)—was limited in many ways. While statistically rigorous and still considered the “gold standard” in clinical research, traditional RCTs were time-consuming, costly, and limited to testing just one new drug at a time. Adaptive platform trials, by contrast, facilitated simultaneously studying multiple therapies for a given disease and promised a number of efficiency improvements. They also used statistical techniques to allow more patients access to promising therapies. As such, they had the potential to fundamentally change the clinical research process, making clinical trials for new cancer drugs more efficient, more accessible to patients, and more ambitious in scope. <p> For the past three years, Alexander had been working closely with a group of like-minded oncologists, statisticians, and clinical trial strategists to design an adaptive platform trial for GBM in the hopes of identifying effective therapies more quickly. By mid-2017, Alexander and his colleagues had completed a master protocol for the trial. But now the research team faced several design and operational challenges as they prepared for the trial’s launch. Most pressing, how should Alexander and his colleagues finance the trial?

Adaptive RF Front-Ends for Hand-held Applications (Analog Circuits and Signal Processing)

by Reza Mahmoudi Arthur H.M. van Roermund Andre Van Bezooijen

The RF front-end - antenna combination is a vital part of a mobile phone because its performance is very relevant to the link quality between hand-set and cellular network base-stations. The RF front-end performance suffers from changes in operating environment, like hand-effects, that are often unpredictable. Adaptive RF Front-Ends for Hand-Held Applications presents an analysis on the impact of fluctuating environmental parameters. In order to overcome undesired behavior two different adaptive control methods are treated that make RF frond-ends more resilient: adaptive impedance control, and adaptive power control. Several adaptive impedance control techniques are discussed, using a priori knowledge on matching network properties, in order to simplify robust 2-dimensional control. A generic protection concept is presented, based on adaptive power control, which improves the ruggedness of a power amplifier or preserves its linearity under extremes. It comprises over-voltage, over-temperature, and under-voltage protection.

Adaptive Radiation Therapy (Imaging in Medical Diagnosis and Therapy)

by X. Allen Li

Modern medical imaging and radiation therapy technologies are so complex and computer driven that it is difficult for physicians and technologists to know exactly what is happening at the point-of-care. Medical physicists responsible for filling this gap in knowledge must stay abreast of the latest advances at the intersection of medical imaging an

Adaptive Reuse for Urban Food Provision: Repurposing Inner-city Car Parking Structures for Controlled Environment Agriculture (Cities and Nature)

by Monika Szopińska-Mularz

This book analyses the adaptive reuse potential of inner-city modern movement car parking structures for controlled environment agriculture systems and the contribution of such a transformation to urban development. Modern movement garages built over the last 60 years are becoming redundant due to changing mobility trends and growing environmental awareness. Adaptive reuse is one of the scenarios that can reconcile these megastructures with contemporary urban needs. The novel function proposed in this study for multi-storey garages is controlled environment agriculture, which is a food production technique that is now developing in cities as an innovative business and a secondary food source. First, the study focuses on the theory of repurposing existing buildings for food production, which is then summarised in the form of a guide for the analysis of the adaptive reuse potential of inner-city car parking structures for controlled environment agriculture. Second, the guide is applied to two case studies, which allows exploring their potential to accommodate urban farming from planning, architectural, and environmental perspectives. The book aims to inspire and support decision-makers, architects, scholars and students when elaborating novel solutions for repurposing buildings for alternative functions. The publication encourages treating existing building stock as a resource that can become a stimulus for the new design process, which improves urban food provision.

Adaptive Reuse of Cultural Heritage: Circular Business, Financial and Governance Models

by Luigi Fusco Girard Antonia Gravagnuolo

This open access book addresses the gap in existing knowledge on cultural heritage from a circular economy and sustainable development perspective for cities. It introduces innovative economic, environmental and governance models and evaluation tools tested and validated for adaptive reuse within the “CLIC - Circular models Leveraging Investments in Cultural Heritage Adaptive Reuse” project funded by the European Horizon 2020 Research & Innovation Action Program. The CLIC project is a trans-disciplinary research project bringing together expertise from disciplines such as heritage studies, regeneration and urban development, business management, economics, ecology and social sciences. The research covered in this book, responds to the European Societal Challenge 5 'Climate action, environment, resource efficiency and raw materials', aimed at achieving resource efficient and climate change resilient economy and society through systemic innovation. The CLIC project also unlocks public and private investments in solutions for a more resource efficient, greener and more competitive economy as a key part of smart, inclusive and sustainable growth strategy for Europe and worldwide. This book is fundamental key reading for scholars, professionals and policy makers, demonstrating how the adaptive reuse of cultural heritage, in a systemic perspective, has the potential to stimulate growth, sustainable development, social regeneration, welfare, jobs, income, and livability of urban / territorial settings: to implement the circular economy model. It also provides innovative models and a circular toolkit for financing, reusing and managing cultural heritage based on research outcomes and implementation of experimental models in four pilot European territories covered as case studies.

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