Predicting Room of Origin Fire Hazards, The Society of Fire Protection Engineers
Автор: Fitz-enz Jac Название: The New HR Analytics: Predicting the Economic Value of Your Company`s Human Capital Investments ISBN: 0814416438 ISBN-13(EAN): 9780814416433 Издательство: McGraw-Hill Рейтинг: Цена: 17610.00 T Наличие на складе: Есть Описание: In his landmark book The ROI of Human Capital, Jac Fitz-enz presented a system of powerful metrics for quantifying the contributions of individual employees to a company's bottom line. The New HR Analytics is another such quantum leap, reveal ing how to predict the value of future human capital investments. Using Fitz-enz's proprietary analytic model, readers learn how to measure and evaluate past and current returns.
By combining those results with focused business intelligence and applying the exclusive analytical tools in the book. Brimming with real world examples and input from thirty top HR practitioners and thought leaders, this groundbreaking book ushers in a new era in human resources and human capital management.
Автор: Edward Paige Название: Epidemics: Detecting, Predicting and Preventing ISBN: 1536189766 ISBN-13(EAN): 9781536189766 Издательство: Nova Science Рейтинг: Цена: 77080.00 T Наличие на складе: Невозможна поставка. Описание: This compilation first describes several methods for glycoengineering the COVID-19 virus to present multiple a-gal epitopes for the amplification of a-gal vaccine efficacy against SARS-CoV-2 infections. Following this, the authors discuss myopia, the most common ocular disorder worldwide. It is the leading cause of visual impairment in children, and its prevalence is increasing rapidly. In closing, the authors analyze the importance of the detection and prevention of wheat stripe rust epidemics in Argentina within the context of an integrated management of the disease.
Автор: Benfenati Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1493936077 ISBN-13(EAN): 9781493936076 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,chapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research.
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 Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Inna Nekrasova, Oxana Karnaukhova, Bryan Christiansen Название: Fractal Approaches for Modeling Financial Assets and Predicting Crises ISBN: 1522537678 ISBN-13(EAN): 9781522537670 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 208830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In an ever-changing economy, market specialists strive to find new ways to evaluate the risks and potential reward of economic ventures. They start by assessing the importance of human reaction during the economic planning process and put together systems to measure financial markets and their longevity. Fractal Approaches for Modeling Financial Assets and Predicting Crises is a critical scholarly resource that examines the fractal structure and long-term memory of the financial markets in order to predict prices of financial assets and financial crises. Featuring coverage on a broad range of topics, such as computational process models, chaos theory, and game theory, this book is geared towards academicians, researchers, and students seeking current research on pricing and predicting financial crises.
By presenting a new political framework, the book looks at the sci-fi film genre’s important critical role in a post-political world, deepening and elucidating our understanding of the post-political present and hence reopening the political imagination to possible future trajectories beyond the horizon of the present.
Opening a debate about the political dimension of science fiction films, this book uses Carl Schmitt’s thought to provide a new theoretical approach to American cinematic sci-fi since the late 1970s. Drawing on Schmitt’s notion of the state of exception and its basis in the unpredictability of tomorrow, it looks at the political ramifications when the moment of the future finally arrives.
With analysis of films such as Alien, Blade Runner and Minority Report, Eli Park Sorensen explores how power reconfigures itself to ensure the survival of the state, what ‘society’ means, who ‘we, the people’ are, and whether it will still be possible to retain a sphere of liberal, individual rights after the transformative event of the future.
Автор: Navarro Garc?a Название: Predicting Flow-Induced Acoustics at Near-Stall Conditions in an Automotive Turbocharger Compressor ISBN: 3319722476 ISBN-13(EAN): 9783319722474 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This thesis offers new insights into the fluid flow behavior of automotive centrifugal compressors operating under near-stall conditions.
Автор: Nikolay Viktorovich Baranovskiy Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks ISBN: 1799818675 ISBN-13(EAN): 9781799818670 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 229150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.
Автор: Nikolay Viktorovich Baranovskiy Название: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks ISBN: 1799818683 ISBN-13(EAN): 9781799818687 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 175560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.
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