This book provides a comprehensive overview of grassland ecosystems based on publications by Chinese scholars. It offers an up-to-date review of the recent advances in grassland research in China, discusses the climatic and physical conditions governing the grasslands, describes their types and distribution, and introduces a new classification scheme for grassland ecosystems. Further, it details the plant, animal, and microbial compositions of each grassland ecosystem type, examining the above and below ground relationships between phytomass, vegetation succession, and past/current management practices with a particular focus on the steppes in China. It also includes references that are only available in the Chinese language. This scientifically rigorous book offers insights into knowledge gaps for the scientific community and identifies pressing issues facing practitioners of grassland ecology and management. It can be used as a textbook for undergraduate and graduate students in ecology, environmental science, natural resource management, agriculture, and other relevant fields, and is also a valuable reference resource for researchers studying drylands in China or around the globe.
Nicotine and Other Tobacco Compounds in Neurodegenerative and Psychiatric Diseases: Epidemiological Data on Smoking and Preclinical and Clinical Data on Nicotine provides a comprehensive summary of the epidemiological data on smoking and several neurological disorders, including Alzheimer's disease, Parkinson's disease, Multiple Sclerosis, Tourette's syndrome, schizophrenia, anxiety, depression and ADHD, as well as preclinical and clinical data on the effects of nicotine. Despite the obvious and undisputed harmful nature of smoking, evidence suggests that some tobacco and tobacco smoke-derived constituents may offer neuroprotective effects, possibly in combinations, rather than individually. This unprecedented book describes the complex relationships between smoking and neurological disease and the bioactive compounds found in tobacco. It provides a comprehensive review of nicotine and other compounds found in tobacco plant, with scientific evidence of neuroprotective and anti-inflammatory effects that may act in conjunction with nicotine to exert neuroprotective effects observed in smokers. By presenting findings beyond harmful cigarette smoke effects, attention can be drawn to individual compounds of tobacco that may serve as inspiration for further therapy development. - Presents the first comprehensive, tabulated summary of literature on the epidemiological data on smoking and neurological disease - Includes preclinical and clinical data on nicotine in neurological diseases and mechanisms of action of nicotine in neuroprotection - Features a comprehensive summary of non-nicotine smoke constituents with potentially neuroprotective and anti-inflammatory properties - Discusses Multiple Sclerosis, Alzheimer's disease, Parkinson's Disease, Schizophrenia, Depression, ADHD, Anxiety and Tourette's Syndrome in the context of smoking and nicotine
Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue for the delivery of high quality cloud workflow applications. To address such an issue, this book presents a systematic investigation to the three critical aspects for the design of a cloud workflow system, viz. system architecture, system functionality and quality of service. Specifically, the system architecture for a cloud workflow system is designed based on the general four-layer cloud architecture, viz. application layer, platform layer, unified resources layer and fabric layer. The system functionality for a cloud workflow system is designed based on the general workflow reference model but with significant extensions to accommodate software services in the cloud. The support of QoS is critical for the quality of cloud workflow applications. This book presents a generic framework to facilitate a unified design and development process for software components that deliver lifecycle support for different QoS requirements. While the general QoS requirements for cloud workflow applications can have many dimensions, this book mainly focuses on three of the most important ones, viz. performance, reliability and security. In this book, the architecture, functionality and QoS management of our SwinDeW-C prototype cloud workflow system are demonstrated in detail as a case study to evaluate our generic design for cloud workflow systems. To conclude, this book offers a general overview of cloud workflow systems and provides comprehensive introductions to the design of the system architecture, system functionality and QoS management.
The Principles of Integrated Technology in Avionics Systems describes how integration can improve flight operations, enhance system processing efficiency and equip resource integration. The title provides systematic coverage of avionics system architecture and ground system integration. Looking beyond hardware resource sharing alone, it guides the reader through the benefits and scope of a modern integrated avionics system. Integrated technology enhances the performance of organizations by improving system capacity and boosting efficiency. Avionics systems are the functional center of aircraft systems. System integration technology plays a vital role in the complex world of avionics and an integrated avionics system will fully-address systems, information and processes. - Introduces integration technology in complex avionics systems - Guides the reader through the scope and benefits of avionic system integration - Gives practical guidance on using integration to optimize an avionics system - Describes the basis of avionics system architecture and ground system integration - Presents modern avionics as a system that is becoming increasingly integrated
As an emerging discrete structural model, the Hencky bar-chain/net model (HBM) has shown its advantages over other numerical methods in some problems. Owing to the discrete properties of HBM, it is also a suitable model for nano-scale structures which are currently a very hot research topic in mechanics.This book introduces the concepts and previous research of the Hencky bar-chain/net model, before demonstrating how beams, columns, arches, rectangular plates and circular plates could be successfully modelled by HBM. HBM comprises rigid bars connected by frictionless hinges with elastic rotational springs (and a system of torsional springs in the cells for plates). In the treatment of the above-mentioned structures, HBM is found to be mathematically equivalent to the first order central finite difference method (FDM). So HBM may be regarded as the physical structural model behind the FDM.This book is a compilation of the authors' research on the development of the Hencky bar-chain/net model, and is organized according to the development and application of HBM for beams, columns, frames, arches and rings, and plates. Exercises are provided at the end of each chapter to aid comprehension and guide learning. It is a useful reference for students, researchers, academics and practitioners in the field of structural analysis.
With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer. - Captures data reliability with variable disk rates and compares virtual to physical disks - Offers methods for reducing cloud-based storage cost and energy consumption - Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches
Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue for the delivery of high quality cloud workflow applications. To address such an issue, this book presents a systematic investigation to the three critical aspects for the design of a cloud workflow system, viz. system architecture, system functionality and quality of service. Specifically, the system architecture for a cloud workflow system is designed based on the general four-layer cloud architecture, viz. application layer, platform layer, unified resources layer and fabric layer. The system functionality for a cloud workflow system is designed based on the general workflow reference model but with significant extensions to accommodate software services in the cloud. The support of QoS is critical for the quality of cloud workflow applications. This book presents a generic framework to facilitate a unified design and development process for software components that deliver lifecycle support for different QoS requirements. While the general QoS requirements for cloud workflow applications can have many dimensions, this book mainly focuses on three of the most important ones, viz. performance, reliability and security. In this book, the architecture, functionality and QoS management of our SwinDeW-C prototype cloud workflow system are demonstrated in detail as a case study to evaluate our generic design for cloud workflow systems. To conclude, this book offers a general overview of cloud workflow systems and provides comprehensive introductions to the design of the system architecture, system functionality and QoS management.
This book provides a comprehensive overview of grassland ecosystems based on publications by Chinese scholars. It offers an up-to-date review of the recent advances in grassland research in China, discusses the climatic and physical conditions governing the grasslands, describes their types and distribution, and introduces a new classification scheme for grassland ecosystems. Further, it details the plant, animal, and microbial compositions of each grassland ecosystem type, examining the above and below ground relationships between phytomass, vegetation succession, and past/current management practices with a particular focus on the steppes in China. It also includes references that are only available in the Chinese language. This scientifically rigorous book offers insights into knowledge gaps for the scientific community and identifies pressing issues facing practitioners of grassland ecology and management. It can be used as a textbook for undergraduate and graduate students in ecology, environmental science, natural resource management, agriculture, and other relevant fields, and is also a valuable reference resource for researchers studying drylands in China or around the globe.
With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer. - Captures data reliability with variable disk rates and compares virtual to physical disks - Offers methods for reducing cloud-based storage cost and energy consumption - Presents a minimum replication benchmark for data reliability requirements to evaluate various replication-based data storage approaches
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