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Predicting Pandemics in a Globally Connected World, Volume 1, Bellomo


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Цена: 13974.00р.
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Автор: Bellomo
Название:  Predicting Pandemics in a Globally Connected World, Volume 1
ISBN: 9783030965617
Издательство: Springer
Классификация:



ISBN-10: 3030965619
Обложка/Формат: Hardback
Страницы: 306
Вес: 0.64 кг.
Дата издания: 07.10.2022
Серия: Modeling and Simulation in Science, Engineering and Technology
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 87 illustrations, color; 24 illustrations, black and white; viii, 306 p. 111 illus., 87 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Подзаголовок: Toward a multiscale, multidisciplinary framework through modeling and simulation
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.
Дополнительное описание: Modeling, Simulations and Social Impact of Evolutionary Virus Pandemics (Bellomo).- Understanding COVID-19 epidemics: a multi-scale modeling approach (Knopoff).- Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and mul



Predicting Transcription Factor Complexes

Автор: Thorsten Will
Название: Predicting Transcription Factor Complexes
ISBN: 3658082682 ISBN-13(EAN): 9783658082680
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation.

Predicting Motion

Автор: Lambourne, Robert
Название: Predicting Motion
ISBN: 0750307161 ISBN-13(EAN): 9780750307161
Издательство: Taylor&Francis
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Цена: 9798.00 р.
Наличие на складе: Нет в наличии.

Predicting Flow-Induced Acoustics at Near-Stall Conditions in an Automotive Turbocharger Compressor

Автор: Roberto Navarro Garc?a
Название: Predicting Flow-Induced Acoustics at Near-Stall Conditions in an Automotive Turbocharger Compressor
ISBN: 3319891618 ISBN-13(EAN): 9783319891613
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This thesis offers new insights into the fluid flow behavior of automotive centrifugal compressors operating under near-stall conditions. Firstly it discusses the validation of three-dimensional computational fluid dynamics (CFD) unsteady simulations against acoustic experimental measurements using an original procedure based on plane wave pressure decomposition. It then examines the configuration of the CFD cases, highlighting the key parameters needed for a successful calculation. Moreover, it describes both the compressor mean and unsteady flow field from best-efficiency to near-surge operating points. Lastly, it provides readers with explanations of the various phenomena that arise when the mass flow rate is reduced and the compressor is driven to poor and noisy performance. Written for students, researchers and professionals who want to improve their understanding of the complex fluid flow behavior in centrifugal compressors, the thesis offers valuable practical insights into reducing the acoustic emissions of turbochargers.

Predicting Real World Behaviors from Virtual World Data

Автор: Muhammad Aurangzeb Ahmad; Cuihua Shen; Jaideep Sri
Название: Predicting Real World Behaviors from Virtual World Data
ISBN: 3319348493 ISBN-13(EAN): 9783319348490
Издательство: Springer
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Цена: 9781.00 р.
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Описание: There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. Each chapter will focus on a different aspect of virtual worlds to real world prediction e.g., demographics, personality, location, etc.

Predicting our climate future

Автор: Stainforth, David (professorial Research Fellow, Principal Research Fellow, London School Of Economics And Political Science)
Название: Predicting our climate future
ISBN: 0198812930 ISBN-13(EAN): 9780198812937
Издательство: Oxford Academ
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Цена: 3168.00 р.
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Predicting Human Decision-Making

Автор: Rosenfeld, Ariel Kraus, Sarit
Название: Predicting Human Decision-Making
ISBN: 3031000234 ISBN-13(EAN): 9783031000232
Издательство: Springer
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Цена: 6986.00 р.
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The Helmholtz Equation Least Squares Method

Автор: Sean F. Wu
Название: The Helmholtz Equation Least Squares Method
ISBN: 1493916394 ISBN-13(EAN): 9781493916399
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book represents the HELS (Helmholtz equation least squares) theory and its applications for visualizing acoustic radiation from an arbitrarily shaped vibrating structure in free or confined space. The first serves as a review of the fundamentals in acoustics and the rest cover five specific topics on the HELS theory.


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