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Handbook of Bakery and Confectionery

Performance of DFIG and PMSG Wind Turbines

Sports Concussions A Complete Guide to Recovery and Management

Friction and Lubrication in Mechanical Design

Real-Time Expert Systems Computer Architecture

Noises in Optical Communications and Photonic Systems

The Science of Composting

Oral and Oropharyngeal Cancer

Freshwater Crayfish A Global Overview

Fingerprinting Analysis and Quality Control Methods of Herbal Medicines

Engineering Dynamics and Vibrations

Biology and Ecology of Anguillid Eels

Microbial Control of Vector-Borne Diseases

Micro Electro Discharge Machining Principles and Applications

Geotechnics of Venice and Its Lagoon

Health and Safety Management An Alternative Approach to Reducing Accidents Injury and Illness at Work

Water Agriculture and the Environment in Spain: can we square the circle?

Logistics 4.0 Digital Transformation of Supply Chain Management

Logistics 4.0 Digital Transformation of Supply Chain Management

Industrial revolutions have impacted both manufacturing and service. From the steam engine to digital automated production the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems artificial intelligence (AI) robotics cyber security data analytics block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4. 0. Industrial Revolution 4. 0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4. 0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities machines physical items and enterprise resources to each other by using sensors devices and the internet along the supply chains are the main attributes of Logistics 4. 0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4. 0 paradigm. Besides that the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book experts from all over the world in the field present a conceptual framework for Logistics 4. 0 and provide examples for usage of Industry 4. 0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians as it covers the theoretical framework on the one hand and includes examples of practice and real world. | Logistics 4. 0 Digital Transformation of Supply Chain Management

GBP 66.99
1

Microbial Diversity in Honeybees

Earthquake Resistant Design of Buildings

Adaptive Backstepping Control of Uncertain Systems with Actuator Failures Subsystem Interactions and Nonsmooth Nonlinearities

Silicon in Plants Advances and Future Prospects

Silicon in Plants Advances and Future Prospects

In the present era rapid industrialization and urbanization has resulted in unwanted physiological chemical and biological changes in the environment that have harmful effects on crop quality and productivity. This situation is further worsened by the growing demand for food due to an ever increasing population. This forces plant scientists and agronomists to look forward for alternative strategies to enhance crop production and produce safer healthier foods. Biotic and abiotic stresses are major constraints to crop productivity and have become an important challenge to agricultural scientists and agronomists due to the fact that both stress factors considerably reduce agriculture production worldwide per year. Silicon has various effects on plant growth and development as well as crop yields. It increases photosynthetic activity creates better disease resistance reduces heavy metal toxicity improves nutrient imbalance and enhances drought tolerance. Silicon in Plants: Advances and Future Prospects presents the beneficial effects of silicon in improving productivity in plants and enhancing the capacity of plants to resist stresses from environmental factors. It compiles recent advances made worldwide in different leading laboratories concerning the role of silicon in plant biology in order to make these outcomes easily accessible to academicians researchers industrialists and students. Nineteen chapters summarize information regarding the role of silicon in plants their growth and development physiological and molecular responses and responses against the various abiotic stresses. | Silicon in Plants Advances and Future Prospects

GBP 44.99
1

Aspects of Anomalous Transport in Plasmas

Aspects of Anomalous Transport in Plasmas

Anomalous transport is a ubiquitous phenomenon in astrophysical geophysical and laboratory plasmas; and is a key topic in controlled nuclear fusion research. Despite its fundamental importance and ongoing research interest a full understanding of anomalous transport in plasmas is still incomplete due to the complexity of the nonlinear phenomena involved. Aspects in Anomalous Transport in Plasmas is the first book to systematically consider anomalous plasma transport theory and provides a unification of the many theoretical models by emphasizing interrelations between seemingly different methodologies. It is not intended as a catalogue of the vast number of plasma instabilities leading to anomalous transport; instead it chooses a number of these and emphasizes the aspects specifically due to turbulence. After a brief introduction the microscopic theory of turbulence is discussed including quasilinear theory and various aspects of renormalization methods which leads to an understanding of resonance broadening mode coupling trajectory correlation and clumps. The second half of the book is devoted to stochiastic tramsport using methods based on the Langevin equations and on Random Walk theory. This treatment aims at going beyond the traditional limits of weak turbulence by introducing the recently developed method of decorrelation trajectories and its application to electrostatic turbulence magnetic turbulence and zonal flow generation. The final chapter includes very recent work on the nonlocal transport phenomenon. | Aspects of Anomalous Transport in Plasmas

GBP 59.99
1

Regularized Image Reconstruction in Parallel MRI with MATLAB

Regularized Image Reconstruction in Parallel MRI with MATLAB

Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful.

GBP 140.00
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