The book focuses on several skew-normal mixed effects models, and systematically explores statistical inference theories, methods, and applications of parameters of interest. This book is of academic value as it helps to establish a series of statistical inference theories and methods for skew-normal mixed effects models. On the applications side, it provides efficient methods and tools for practical data analysis in various fields including economics, finance, biology and medical science.
Artificial insemination is used instead of natural mating for reproduction purposes and its chief priority is that the desirable characteristics of a bull or other male livestock animal can be passed on more quickly and to more progeny than if that animal is mated with females in a natural fashion. This book contains under one cover 16 chapters of concise, up-to-date information on artificial insemination in buffalos, ewes, pigs, swine, sheep, goats, pigs and dogs. Cryopreservation effect on sperm quality and fertility, new method and diagnostic test in semen analysis, management factors affecting fertility after cervical insemination, factors of non-infectious nature affecting the fertility, fatty acids effects on reproductive performance of ruminants, particularities of bovine artificial insemination, sperm preparation techniques and reproductive endocrinology diseases are described. This book will explain the advantages and disadvantages of using AI, the various methodologies used in different species, and how AI can be used to improve reproductive efficiency in farm animals.
Computational fluid dynamics (CFD) studies the flow motion in a discretized space. Its basic scale resolved is the mesh size and time step. The CFD algorithm can be constructed through a direct modeling of flow motion in such a space. This book presents the principle of direct modeling for the CFD algorithm development, and the construction unified gas-kinetic scheme (UGKS). The UGKS accurately captures the gas evolution from rarefied to continuum flows. Numerically it provides a continuous spectrum of governing equation in the whole flow regimes.
This book systematically presents 40 pests, 7 natural pest enemies, and 20 diseases and weeds commonly encountered in sugarcane production, combining clear colour photos with detailed scientific descriptions. It covers a range of related topics, including morphological identification, habits and frequency of occurrence, prevention and control measures, symptom identification, characteristics of infections and epidemics, parasitic (predator) characteristics, ways of utilising natural pest enemies, main species and distribution, fluctuation in the field, and chemical control of weeds. With novel content presented in simple, straightforward language, the book provides a valuable reference guide for scientific researchers, educators and industrial practitioners, as well as students and advisers at agricultural universities.
This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications. In addition to a historical review of the topic, its connection to other widely used statistical methods, such as multivariate analysis of variance (MANOVA), discriminant analysis, principal components, canonical correlation analysis, and errors-in-variables models, is also discussed. This new edition incorporates Big Data methodology and its applications, as well as high-dimensional reduced-rank regression, generalized reduced-rank regression with complex data, and sparse and low-rank regression methods. Each chapter contains developments of basic theoretical results, as well as details on computational procedures, illustrated with numerical examples drawn from disciplines such as biochemistry, genetics, marketing, and finance. This book is designed for advanced students, practitioners, and researchers, who may deal with moderate and high-dimensional multivariate data. Because regression is one of the most popular statistical methods, the multivariate regression analysis tools described should provide a natural way of looking at large (both cross-sectional and chronological) data sets. This book can be assigned in seminar-type courses taken by advanced graduate students in statistics, machine learning, econometrics, business, and engineering.
A gyrotron traveling-wave amplifier (gyro-TWT) with the high-power and broad-band capabilities is considered as a turn-on key for next generation high-resolution radar. The book presents the most advanced theory, methods and physics in a gyro-TWT. The most challenging problem of instability competition has been for the first time addressed in a focused and systematic way and reported via concise states and vivid pictures. The book is likely to meet the interest of researchers and engineers in radar and microwave technology, who would like to study the gyro-TWTs and to promote its application in millimeter-wave radars. Chao-Hai Du and Pu-Kun Liu are both professors at Peking University.
Provides both fundamentals and new and emerging applications Advanced Drug Delivery brings readers fully up to date with the state of the science, presenting the basics, formulation strategies, and therapeutic applications of advanced drug delivery. The book demonstrates how core concepts of pharmaceutical sciences, chemistry, and molecular biology can be combined and applied in order to spark novel ideas to design and develop advanced drug delivery systems for the treatment of a broad range of human diseases. Advanced Drug Delivery features contributions from an international team of pharmaceutical scientists. Chapters reflect a thorough review and analysis of the literature as well as the authors' firsthand experience developing drug delivery systems. The book is divided into four parts: Part I, Introduction and Basics of Advanced Drug Delivery, explores physiological barriers, stability, transporters, and biomaterials in drug delivery Part II, Strategies for Advanced Drug Delivery, offers tested and proven strategies for advanced delivery of both small molecules and macromolecules Part III, Translational Research of Advanced Drug Delivery, focuses on regulatory considerations and translational applications of advanced drug delivery systems for the treatment of cardiovascular diseases, cancer, sexually transmitted diseases, ophthalmic diseases, and brain diseases Part IV, Future Applications of Advanced Drug Delivery in Emerging Research Areas, examines stem cell research, cell-based therapeutics, tissue engineering, and molecular imaging Each chapter provides objectives and assessment questions to help readers grasp key concepts and assess their knowledge as they progress through the book. Advanced Drug Delivery is recommended for graduates and upper-level undergraduates in the pharmaceutical sciences who need a solid foundation in the basics. It is also recommended for pharmaceutical professionals who want to take advantage of new and emerging applications in advanced drug delivery systems.
Imperial-Time-Order is an engagingly written critical study on a persistent historical way of thinking in modern China. Defined as normalization of unification and moralization of time, Qian suggests, the imperial-time-order signifies a temporal structure of empire that has continued to shape the way modern China developed itself conceptually. Weaving together intellectual debates with literary and media representations of imperial history since the late Qing period, ranging from novels, stage plays, films, to television series, Qian traces the different temporalities of each period and takes “time” as the analytical node by which issues of empire, nation, family, morality, individual and collective subjectivity are constructed and contested.
Alzheimer's disease (AD), the most common form of neurodegenerative disorder in the elderly, is characterised pathologically by extracellular amyloid plaques and intracellular neurofibrillary tangles, pathophysiologically by synaptic dysfunction, and clinically by a progressive decline in cognition. Currently, AD has no cure and its prevalence is predicted to triple by 2050 with the rapid increase in the ageing population, unless more effective treatments are developed. Since the publication of the second book volume, the rapid progress in the research fields of AD and dementia continues through the intensive efforts of research scientists worldwide. This third book volume contains 15 chapters, bringing together a presentation of research frontiers in current AD/dementia research. The topics include molecular genetics of AD, gene expression abnormalities in AD progression, presenilins, taupathy in AD, single -induced(neuron gene expression abnormalities in AD, intracellular A neurodegeneration, roles of lipoprotein receptors in AD onset and progression, cholesterol and tau hyperphosphorylation, AD diagnostics and therapeutic strategies, in vivo visualisation of amyloid-like structures, cathepsin B, antiamyloidogenesis and neuroprotection, environmental enrichment, Fragile X mental retardation gene and dementia, category learning in Parkinson's disease, cerebrovascular disease and dementia, and dementia and hypertension. These chapters cover current advances in our understanding of the pathogenic mechanisms underlying AD and dementia, in the diagnosis of early AD and dementia, and in the development of therapeutic agents that target memory-relevant AD pathogenesis. The book will be highly valuable to students and scientists worldwide who are interested in the scientific research progress in AD and dementia.
The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques. This book focuses on the description and applications of many quantitative modelling approaches applied to marketing and management. The structure encompasses statistical, computer and mathematical as well as other models. The topics range from fuzzy logic and logical discriminant models to growth models and k-clique models. It also covers current research being conducted in the field.
Natural Polyphenols from Wood: Tannin and Lignin – An Industrial Perspective is a detailed guide to the sourcing and processing of tannin and lignin for valuable advanced applications across areas such as fuels, chemicals, drugs, and food. Drawing on the latest academic research and patent literature, this book provides strong practical understanding of the use of these valuable materials in novel industrial applications. This book introduces natural polyphenols from wood and the fundamental aspects of carbon management within the tree. In-depth presentation of extraction and characterization methods is followed by an extensive coverage of practical and industrial applications of wood polyphenols. This is an essential resource for researchers and advanced students working with lignin or tannin, and across biopolymer science, biomass, wood chemistry, paper, wood adhesives, polymer materials, renewable resources, and biotechnology. It also supports industrial R&D and scientists working with wood polyphenols or bio-based polymers. This book re-evaluates wood polyphenols from an industrial perspective, revealing the latest techniques and drawing on patent literature. It addresses fundamental issues of wood polyphenols, such as carbon cycle, wood fractionation, structure, and properties. It offers a comprehensive review of practical applications, including lignin depolymerization, wood reconstruction, fuels, chemicals, drugs, and food.
Molecular Dynamic Simulation: Fundamentals and Applications explains the basic principles of MD simulation and explores its recent developments and roles in advanced modeling approaches. The implementation of MD simulation and its application to various aspects of materials science and engineering including mechanical, thermal, mass transportation, and physical/chemical reaction problems are illustrated. Innovative modeling techniques that apply MD to explore the mechanics of typical nanomaterials and nanostructures and to characterize crystalline, amorphous, and liquid systems are also presented. The rich research experience of the authors in MD simulation will ensure that the readers are provided with both an in-depth understanding of MD simulation and clear technical guidance. Provides a comprehensive overview of the underlying theories of molecular dynamics (MD) simulation Presents application-based examples pertaining to a broad range of mechanical, thermal, and mass transport problems Explores innovative modeling techniques for simulating typical nanomaterials and nanostructures and for characterizing crystalline, amorphous, and liquid systems
This book presents a systematic and comprehensive overview for IoT security. It first introduces architecture approaches for IoT and IoT security, describing the security techniques for different layers in the IoT security architecture. It also provides an in-depth analysis on the difference between IoT security and traditional system and data security. It is commonly known that information security includes data confidentiality, data integrity, and availability, and that measures include non-repudiation and access control. However, in practical IoT system construction, many more security measures need to be carefully considered. As such, this book presents around 60 different security measures, mainly focusing on the sensor layer of IoT. These security measures can serve as a source of reference for IoT system construction, as well as IoT security standard making.
Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison. A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.
He was unbridled as he slashed his sword through the heavens!He exuded an evil aura, and his eyes flashed like lightning across the nine heavens.He was free and unfettered, with beauties as numerous as the clouds and flowers surrounding him.He was tyrannical, and wherever he passed, not a single blade of grass would remain!Evil Emperor Hengkong, Tremor of Eternity!This was the most powerful, top quality evil cultivator!
Researchers developed two scenarios to envision the future of mobility in China in 2030. Economic growth, the presence of constraints on vehicle ownership and driving, and environmental conditions differentiate the scenarios. By making potential long-term mobility futures more vivid, the team sought to help decisionmakers at different levels of government and in the private sector better anticipate and prepare for change.
In this book, the authors cover the recent progress in the synthesis, characterization and application of various multi-layered carbides, carbonitrides and nitrides. Moreover, the processing and development of MXene-based composites are elaborated, focusing on their applications and performances as transparent conductors in environmental remediation and energy storage systems.
Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.
Optical Fiber Sensing Technologies/ b Explore foundational and advanced topics in optical fiber sensing technologies In Optical Fiber Sensing Technologies: Principles, Techniques, and Applications, a team of distinguished researchers delivers a comprehensive overview of all critical aspects of optical fiber sensing devices, systems, and technologies. The book moves from the basic principles of the technology to innovation methods and a broad range of applications, including Bragg grating sensing technology, intra-cavity laser gas sensing technology, optical coherence tomography, distributed vibration sensing, and acoustic sensing. The accomplished authors bridge the gap between innovative new research in the field and practical engineering solutions, offering readers an unmatched source of practical, application-ready knowledge. Ideal for anyone seeking to further the boundaries of the science of optical fiber sensing or the technological applications for which these techniques are used, Optical Fiber Sensing Technologies: Principles, Techniques, and Applications also includes: Thorough introductions to optical fiber and optical devices, as well as optical fiber Bragg grating sensing technology Practical discussions of Extrinsic-Fabry-Perot-Interferometer-based optical fiber sensing technology, acoustic sensing technology, and high-temperature sensing technology Comprehensive explorations of assemble free micro-interferometer-based optical fiber sensing technology In-depth examinations of optical fiber intra-cavity laser gas sensing technology Perfect for applied and semiconductor physicists, Optical Fiber Sensing Technologies: Principles, Techniques, and Applications is also an invaluable resource for professionals working in the semiconductor, optical, and sensor industries, as well as materials scientists and engineers for measurement and control.
This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"--
This book introduces readers to the development of novel optical biosensors for environmental analysis. Environmental pollution has now become a serious problem, which threatens the health of human beings. Traditional analytical methods have a number of drawbacks, such as the need for professional operators and complicated instruments. After millions of years of evolution, biomolecules can perform various functions with good accuracy and efficiency due to their unique structures, offering a viable alternative to traditional methods. This work focuses on using new biological sensing strategies, e.g. those based on special biomaterials, bio-reactions or living cells, to establish novel biosensors. As these biosensors offer satisfactory optical response performance, they can be used to transform the recognition behavior of specific targets into optical signals and effectively detect target objects.
This paper surveys key research challenges and recent results of manufacturability aware routing in nanometer VLSI designs. The manufacturing challenges have their root causes from various integrated circuit (IC) manufacturing processes and steps, e.g., deep sub-wavelength lithography, random defects, via voids, chemical-mechanical polishing, and antenna-effects. They may result in both functional and parametric yield losses. The manufacturability aware routing can be performed at different routing stages including global routing, track routing, and detail routing, guided by both manufacturing process models and manufacturing-friendly rules. The manufacturability/yield optimization can be performed through both correct-by-construction (i.e., optimization during routing) as well as construct-by-correction (i.e., post-routing optimization). This paper will provide a holistic view of key design for manufacturability issues in nanometer VLSI routing.
Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operati
In wireless ad hoc networks, most of the authentication protocols assume a single source of trust. However, in the presence of multiple trust sources (called source group in this chapter), it becomes difficult to design resource- (or energy-) efficient authentication protocols, especially for multicast/broadcast services, utilizing multiple trust sources at the same time. Some traditional authentication approaches may be extended and used for this purpose. However, the communication overhead, for example, may increase significantly in proportion to the number of trust sources. In this chapter, we propose a new scheme named as Multi-Source Authentication with Split-Join One-Way Key Chain (SOKC). In this new technique, the communication overhead is small and constant, and the memory requirement at the verifier node is also minimal. The source group node needs to store n keys, where n represents the key chain length, which may be a reasonable requirement considering that the trust sources usually have more resources compared to other regular node(s) in the network (e.g., base stations in wireless sensor networks).
This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are reviewed demonstrating the feasibility of multimodal cognitive load measurement in practical applications. This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computer scientist and psychologist to more general end-users, ready for widespread implementation. Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.
This book provides a comprehensive and detailed description of the various mechanisms of the CCS–EOR process. Whereas previous texts have primarily focused on carbon capture and storage (CCS) and enhanced oil recovery (EOR) separately, this book provides a general overview of both technologies when used together. Coupled CCS–EOR technology has become increasingly important, as it overcomes the respective shortcomings of the two technologies. The book presents an integrated numerical model including the hysteresis effect, solubility trapping, miscibility, and formation damage by asphaltene deposition. The experimental and model-based evaluation of fluid properties is also discussed. The book concludes by discussing the latest research into CO2 storage coupled with EOR, most notably performance control by including additives in CO2 injection, and CO2 injection into shale reservoirs. Ideally suited for graduate students and researchers in the fields of carbon capture, utilisation, and storage, the book shares essential insights into maximising the efficiency of CCS and EOR alike.
Selection of the optimal recovery method is significantly influenced by economic issues in today’s oil and gas markets. Consequently, the development of cost-effective technologies, which bring maximum oil recovery, is the main interest in today’s petroleum research communities. Theory and Practice in Microbial Enhanced Oil Recovery provides the fundamentals, latest research and creditable field applications. Microbial Enhanced Oil Recovery (MEOR) is potentially a low-priced and eco-friendly technique in which different microorganisms and their metabolic products are implemented to recover the remaining oil in the reservoir. Despite drastic advantages of MEOR technology, it is still not fully supported in the industry due to lack of knowledge on microbial activities and their complexity of the process. While some selected strategies have demonstrated the feasibility to be used on a mass scale through both lab and field trials, more research remains to implement MEOR into more oil industry practices. This reference delivers comprehensive descriptions on the fundamentals including basic theories on geomicrobiology, experiments and modeling, as well as current tested field applications. Theory and Practice in Microbial Enhanced Oil Recovery gives engineers and researchers the tool needed to stay up to date on this evolving and more sustainable technology. Covers fundamental screening criteria and theories selective plugging and mobility control mechanisms Describes the basic effects on environmental parameters and the mechanics of simulation, including microbial growth kinetics Applies up to date practical applications proven in both the lab and the field
This Element presents a unified computational fluid dynamics framework from rarefied to continuum regimes. The framework is based on the direct modelling of flow physics in a discretized space. The mesh size and time step are used as modelling scales in the construction of discretized governing equations. With the variation-of-cell Knudsen number, continuous modelling equations in different regimes have been obtained, and the Boltzmann and Navier-Stokes equations become two limiting equations in the kinetic and hydrodynamic scales. The unified algorithms include the discrete velocity method (DVM)–based unified gas-kinetic scheme (UGKS), the particlebased unified gas-kinetic particle method (UGKP), and the wave and particle–based unified gas-kinetic wave-particle method (UGKWP). The UGKWP is a multi-scale method with the particle for non-equilibrium transport and wave for equilibrium evolution. The particle dynamics in the rarefied regime and the hydrodynamic flow solver in the continuum regime have been unified according to the cell's Knudsen number.
Transport in Shale Reservoirs fills the need for a necessary, integrative approach on shale reservoirs. It delivers both the fundamental theories of transport in shale reservoirs and the most recent advancements in the recovery of shale oil and gas in one convenient reference. Shale reservoirs have distinctive features dissimilar to those of conventional reservoirs, thus an accurate evaluation on the behavior of shale gas reservoirs requires an integrated understanding on their characteristics and the transport of reservoir and fluids. Updates on the various transport mechanisms in shale, such as molecular diffusion and phase behavior in nano-pores Applies theory to practice through simulation in both shale oil and gas Presents an up-to-date reference on remaining challenges, such as organic material in the shale simulation and multicomponent transport in CO2 injection processes
This novel relates stories of new Chinese immigrants living in New York, United States. After China adopted the policy of reform and opened up to the outside world in the early 1980s, large numbers of Chinese went abroad and settled in the United States, a paradise they had dreamed of to go to. Chinatown was chosen by most of these new immigrants as their settlement, where they live and work. Chinatown is a place in the high and low were mixed together. The underworld stops at no evil nothing. They carry on extortions and organize the criminal activity of illegal immigration and brutal and bloody fights and killings between factions. The novel tells several new immigrant families, each of them has different experience in China’s mainland; after coming to U.S.A., in order to realize that “American Dream”, many of them worked hard day and night, full of entrepreneurial spirit and some started their own business from scratch. They want to train their children to become a useful person, enduring all kinds of hardships, place hopes on them. But in fact, some children did not take their study seriously, and some even went so far as to sink into degradation or even crimes. Thus, “the American dream” of some new immigrants shattered into pieces. A family of Wang Ming’s is an example among them. Father’s soul is hurt. Son’s body is injured, so they have to get back to the hometown to cure their suffering. This novel has stories that are vividly depicted, intricately plotted, and sometimes breathtaking.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.