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This book is a must-have to any Design Sprint Master out there in the field running Design Sprints. It is full of best-practices and straight to the point information about the Google Ventures' Design Sprint methodology.
Presenting mathematical prerequisites in summary tables, this book explains fundamental techniques of mathematical modeling processes essential to the food industry. The author focuses on providing an in-depth understanding of modeling techniques, rather than the finer mathematical points. Topics covered include modeling of transport phenomena, kin
"This chapter offers some historical and conceptual orientation to readers of the Oxford Handbook of Entertainment Theory. Departing from a brief review of ancient roots and 20th century pioneer works, we elaborate on the state and challenges of contemporary entertainment theory and research. This includes the need to develop a more explicit understanding of interrelationships among similar terms and concepts (e.g., presence and transportation), the need to reflect more explicitly on epistemological foundations of entertaiment theories (e.g., neo-behaviorism), and the need to reach back to past, even historical reasoning in communication that may be just as informative as the consideration of recent theoretical innovations from neigboring fields such as social psychology. Finally, we offer some reflections on programmatic perspectives for future entertainment theory, which should try to harmonize views from the social sciences and critical thinking, span cultural differences in entertainment processes, and keep track of the rapid technological progress of entertainment media"--
Learn to create and use simulation models—the most reliable and cost-effective tools for predicting real-world results! The Handbook of Processes and Modeling in the Soil-Plant System is the first book to present a holistic view of the processes within the soil-plant-atmosphere continuum. Unlike other publications, which tend to be more specialized, this book covers nearly all of the processes in the soil-plant system, including the fundamental processes of soil formation, degradation, and the dynamics of water and matter. It also illustrates how simulation modeling can be used to understand and forecast multiple interactions among various processes and predict their environmental impact. This unique volume assembles information that until now was scattered among journals, bulletins, reports, and symposia proceedings to present models that simulate almost all of the processes occurring in the soil-plant system and explores the results that these models are capable of producing. With chapters authored by experts with years of research and teaching experience, the Handbook of Processes and Modeling in the Soil-Plant System examines: physical, chemical, and biological soil processes the soil formation and weathering process and its modeling the impact of radioactive fallout on the soil-plant system soil degradation processes and ways to control them water and matter dynamics in the soil-plant system growth and development of crops at various levels of production the potentials and limitations of using simulation models Students, educators, and professionals alike will find the Handbook of Processes and Modeling in the Soil-Plant System an invaluable reference on the soil-plant-atmosphere system and an ideal tool to help develop an effective decision support system.
The availability of well-defined genetic strains and the ability to create transgenic and knockout mice makes mouse models extremely valuable biomedical tools. Their suitability as an experimental system for cardiovascular research depends on the individual investigator’s ability to manipulate the mice surgically. Many mouse models require microsurgical techniques, which hitherto could not be performed without practical training. This comprehensive handbook enables scientists to develop these models in their own laboratories. A Handbook of Mouse Models of Cardiovascular Disease is the first book to address pathology in mouse models of heart disease, providing the reader with essential information on technical assays in artificially created models. It includes background information on individual cardiovascular diseases, describes detailed methods and materials used for establishing each mouse model, discusses the problems that may appear in the experiments, and provides examples of applications of the model. A Handbook of Mouse Models of Cardiovascular Disease: Describes mouse models of all important cardiovascular diseases, including atherosclerosis, atrial fibrillation and thrombosis Features videos of key experimental procedures on the accompanying CD, allowing researchers to learn the techniques by directly watching the whole operational procedure Describes how to establish each experimental model with detailed protocols and tips on dealing with common operational problems Highlights potential applications of each model in areas such as pathogenesis, gene transfer, therapy and pathophysiology This handbook is an invaluable resource for researchers in cardiovascular disease, pathology, physiology, interested in the mechanism of vascular disorders and therapeutic approaches. It is also relevant to clinicians seeking to understand the pathology of cardiovascular disease and the rationale for interventions, and of interest to the pharmaceutical industry and all those involved in drug discovery/development for cardiovascular disease.
The definitive bible for the field of biomedical engineering, this collection of volumes is a major reference for all practicing biomedical engineers and students. Now in its fourth edition, this work presents a substantial revision, with all sections updated to offer the latest research findings. New sections address drugs and devices, personalized medicine, and stem cell engineering. Also included is a historical overview as well as a special section on medical ethics. This set provides complete coverage of biomedical engineering fundamentals, medical devices and systems, computer applications in medicine, and molecular engineering.
Designed for engineers, this work considers flow-induced vibrations. It covers topics such as body oscillators; fluid loading and response of body oscillators; fluid oscillators; vibrations due to extraneously-induced excitation; and vibrations due to instability-induced excitation.
Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for their own data analysis needs. Data, R, and SAS scripts can be found online at http://www.spesi.org.
This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches. This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications. Features: Covers top-down approaches applying statistical, machine learning, and big data analytics and bottom-up approaches using first principles and multi-scale techniques, including numerical simulations based on Monte Carlo and automata techniques Provides an overview of the available software tools and resources for outcome model development and evaluation, and includes hands-on detailed examples throughout Presents a diverse selection of the common applications of outcome modeling in a wide variety of areas: treatment planning in radiotherapy, chemotherapy and immunotherapy, utility-based and biomarker applications, particle therapy modeling, oncological surgery, and the design of adaptive and SMART clinical trials