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The Evidence-Based Nursing Series is co-published with Sigma Theta Tau International (STTI). The series focuses on implementing evidence-based practice in nursing and mirrors the remit of Worldviews on Evidence-Based Nursing, encompassing clinical practice, administration, research and public policy. Models and Frameworks for Implementing Evidence- Based Practice: Linking Evidence to Action looks at ways of implementing evidence gained through research and factors that influence successful implementation. It acknowledges the gap that exists between obtaining evidence and the practicalities of putting it into practice and provides direction to help to close this gap. This, the first book in the series, helps the reader to make decisions about the appropriateness of using various models and frameworks. A selection of models and frameworks are examined in detail including examples of their use in practice. The book concludes with an analysis and synthesis of the included models and frameworks. The models and frameworks that have been included are based on a number of criteria: that they are internationally recognised, have undergone widespread evaluation and testing, are transferable across different settings, and can be used by different disciplines. Models and frameworks include: Stetler Model Ottowa Model of Research Use IOWA model of evidence-based practice Advancing Research and Clinical Practice through Close Collaboration (ARCC) model Dobbins’ dissemination and use of research evidence for policy and practice framework Joanna Briggs Institute model Knowledge to Action framework Promoting Action on Research Implementation in Health Services (PARIHS) Key Points: Includes an overview of implementation issues and the use of theory and frameworks in implementing evidence into practice Chapters are written by the developers of the model or framework Each chapter provides background on an implementation model or framework, suitable applications, underlying theory and examples of use Each chapter examines strengths and weaknesses of each model alongside barriers and facilitators for its implementation
In the wake of recent failures of risk management there has been a widespread call for improved quantifications of the financial risks facing firms. At the forefront of this clamor has been value at risk. Previous research has identified differences in models, model risk, as an important impediment to developing a value at risk standard. By contrast, this research considers the divergence in a model's implementation in software, or system risk, and how it too, affects the establishment of a model-based standard of risk management. From an IT perspective, the study casts light on the subtleties of the modeler/developer/user/end-user decision making process. From a finance perspective, this paper also casts light on the extent to the underlying model of risk assessment, namely value at risk, provides users with a viable risk measurement standard. It illuminates an often forgotten aspect of the discussion regarding the use of complex models such as those used for risk management, namely the importance of their detailed implementation use, and interpretation in practice.
Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.
In this book you'll learn how to make the right selection of alternative designs or architectures; produce executable structure models that can be transformed into alternative views and verified by computer; formulate a design that meets all functional and performance requirements and is both feasible and optimal for the marketplace; accurately assess information made available to the systems engineering team; perform trade-off analyses that enhance decision making; create, build, and test a plan; and tailor the six-step engineering process to fit specific business environments. This scalable systems engineering approach can be easily adapted to model products, services, businesses, processes, and plans. Guidelines are included on how to improve training capability in your company ... select and develop tools for automation ... build highly efficient infrastructure ... and customize the system engineering process to commercial or aerospace projects. In addition, the authors clearly distinguish management tasks from the technical tasks of systems engineers.
As a segment of the broader science of automation, robotics has achieved tremendous progress in recent decades due to the advances in supporting technologies such as computers, control systems, cameras and electronic vision, as well as micro and nanotechnology. Prototyping a design helps in determining system parameters, ranges, and in structuring an overall better system. Robotics is one of the industrial design fields in which prototyping is crucial for improved functionality. Prototyping of Robotic Systems: Applications of Design and Implementation provides a framework for conceptual, theoretical, and applied research in robotic prototyping and its applications. Covering the prototyping of various robotic systems including the complicated industrial robots, the tiny and delicate nanorobots, medical robots for disease diagnosis and treatment, as well as the simple robots for educational purposes, this book is a useful tool for those in the field of robotics prototyping and as a general reference tool for those in related fields.
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
"The book Practical Implementation in Social Work Practice: A Guide to Engaging in Evidence-Based Practice provides social work practitioners and students with guidance on engaging in the process of evidence-based practice (EBP), with an emphasis on implementation of high quality interventions. The book begins with an overview of the process of EBP, and the relationship between EBP and implementation. In subsequent chapters, readers are provided with practical tips and frameworks to support identification of evidence-supported interventions and preparation for the implementation of selected interventions in practice. Later chapters examine more closely the assessment of intervention alignment with clients and service contexts, how to determine if an intervention must be adapted before implementation, and guides readers through the adaptation of interventions if needed. Fidelity strategies are then reviewed to support the ongoing implementation of interventions at a high level of quality. Examples are used throughout the book to provide the reader with concrete illustrations of the application of more abstract concepts and each chapter includes discussion questions to guide class discussions for instructors. The book ends with a chapter on some of the future trends and continuing challenges in EBP and implementation science in social work"--
Agent-based modeling and simulation (ABMS), a way to simulate a large number of choices by individual actors, is one of the most exciting practical developments in business modeling since the invention of relational databases. It represents a new way to understand data and generate information that has never been available before--a way for businesses to view the future and to understand and anticipate the likely effects of their decisions on their markets and industries. It thus promises to have far-reaching effects on the way that businesses in many areas use computers to support practical decision-making. Managing Business Complexity is the first complete business-oriented agent-based modeling and simulation resource. It has three purposes: first, to teach readers how to think about ABMS, that is, about agents and their interactions; second, to teach readers how to explain the features and advantages of ABMS to other people and third, to teach readers how to actually implement ABMS by building agent-based simulations. It is intended to be a complete ABMS resource, accessible to readers who haven't had any previous experience in building agent-based simulations, or any other kinds of models, for that matter. It is also a collection of ABMS business applications resources, all assembled in one place for the first time. In short, Managing Business Complexity addresses who needs ABMS and why, where and when ABMS can be applied to the everyday business problems that surround us, and how specifically to build these powerful agent-based models.
Autism: The Movement Sensing Perspective is the result of a collaborative effort by parents, therapists, clinicians, and researchers from all disciplines in science including physics, engineering, and applied mathematics. This book poses questions regarding the current conceptualization and approach to the study of autism, providing an alternative unifying data-driven framework grounded in physiological factors. This book reaches beyond subjective descriptions of autistic phenomena and embraces a new era of objective measurements, analyses, and statistical inferences. The authors harness activities from the nervous systems across the brain and body (often in tandem), and introduce a platform for the comprehensive personalized phenotyping of individuals with autism. The impact of this approach is discussed to advance the development of tailored treatments options, enhance the ability to longitudinally track symptomatology, and to fundamentally empower affected individuals and their families. This book encompasses a new era for autism research and treatments, and our continuous effort to collectively empower and embrace the autistic community.
"This book provides innovative behavior models currently used for developing embedded systems, accentuating on graphical and visual notations"--Provided by publisher.