Computational Methods for Time-Series Analysis in Earth Sciences bridges the gap between theoretical knowledge and practical application, offering a deep dive into the utilization of R programming for managing, analyzing, and forecasting time-series data within the Earth sciences. The book systematically unfolds the layers of data manipulation, graphical representation, and sampling to prepare the reader for complex analyses and predictive modeling, from the basics of signal processing to the nuances of machine learning. It presents cutting-edge techniques, such as neural networks, kernel-based methods, and evolutionary algorithms, specifically tailored to tackle challenges, and provides practical case studies to aid readers.This is a valuable resource for scientists, researchers, and students delving into the intricacies of Earth's environmental patterns and cycles through the lens of computational analysis. It guides readers through various computational approaches for deciphering spatial and temporal data.
Plant Hazard Analysis and Safety Instrumentation Systems, Second Edition serves as a comprehensive guide to the development of safety instrumented systems (SISs), outlining the connections between SIS requirements, process hazard analysis, SIS lifecycle, implementation, safety analysis, and realization in control systems. The book also explores the impact of recent advances, such as SIL, SIS, and Fault Tolerance. In addition, it facilitates the linkage between SIS requirements and process hazard analysis for the completion of SIS lifecycle implementation. The author, drawing from over 35 years of industrial experience, incorporates practical examples throughout the book. Other sections cover safety analysis and realization in control systems, providing up-to-date descriptions of modern concepts like SIL, SIS, and SIF. Additionally, the book delves into discussions on cost impact, basics of statistics, and reliability. The impact of hazardous atmospheres on electrical enclosures is extensively discussed, especially in light of Atex. Finally, new chapters in this updated edition address security concerns crucial for programmable systems in modern plants. Topics include the discussion of hazardous atmospheres and their impact on electrical enclosures, the use of IS circuits, and their links to safety considerations in major developmental areas, including IIoT, Cloud computing, wireless safety, Industry 4.0, and much more.
Redox Signaling in Wound Healing in Elderly Populations: Clinical Approach, Part 2 covers wounds in different types and locations (diabetic, ischemic, post-operational) in subcellular and macro dimensions, examine their relationship with aging aim to target deteriorating redox signaling cascades, and will also focus on promising therapeutic approaches. Understanding the indication for the use of new therapeutics targeting the illuminated pathways in wound healing will help adjust treatment regimens befitting modern medicine. Ineffective redox adaptation and disseminated oxidative injury are the hallmarks of continuing oxidative stress. However, oxidative stress cannot be simply described as the imbalance between ROS formation and antioxidant defense capacity; it also covers impairment in redox sensing and signaling pathways. The term oxidative stress is an expression that is losing its use in modern redox biology. It is now an accepted fact that ROS cannot be described as an apparent enemy or friend. Its optimum level modulates signal transduction and stress responses by acting as a second messenger for redox-sensitive cascades. Redox-dependent second messengers are generated in subcellular locations according to specific rules and regulations. Their appearance depends on cellular needs in response to external and internal stimuli variations. A good understanding of the wound healing cascades, which deteriorate especially in advancing ages, is critical in developing the most appropriate approach. To understand the redox signaling mechanisms and healing cascades in wound healing, to pioneer new pharmacoactive drugs that can be developed based on these mechanisms, to reveal the deteriorating dynamics in the elderly patient group, and to propose new treatment methods suitable for the advanced age group.
Optical Properties of Semiconducting Nanostructures for Photocatalysis: Fundamentals, Materials Design, and Applications investigates the most important factors in improving the photocatalytic process of nanostructures. It focuses on the key parameters that define the effective factors in the photocatalytic process by a nanostructured semiconductor: bandgap energy, structural defects, morphology, size, lifetime of the electron-hole pair created in the semiconductor by photon radiation, quantum efficiency of the nanostructured semiconductor, and surface porosity The photocatalytic materials explored by the book include metal-oxide and metal-chalcogenide based materials, graphene, graphite carbon nitride (g-C3N4) as a metal-free semiconductor, carbon/semiconductor nanocomposites, inorganic/organic nanocomposites, and noble metals to increase the efficiency of photocatalytic properties. The variety of semiconductor materials covered in this book ensures that it will be essential reading for researchers and students in the field of photocatalysis. Thoroughly explores the application of nanostructured semiconductors in the photocatalysis process
Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insight and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. Sensor Networks for Smart Hospitals, together with companion volume Advanced Sensors for Smart Healthcare, shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor their well-being and make informed decisions about their treatment. Written by experts in the field, Sensor Networks for Smart Hospitals is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients.
Mined Individuals in Large Networks presents an overview of one century of research analyzing the growth of networks in our individualist societies, including methods from computer science to address questions within social sciences. The book shows how, with huge data sets, it is possible to gather vast amounts of information on individuals from large scale and social networks. At stake is the ability for the citizens to keep a grip on the social changes evolving around networking. The public concern about massive online surveillance shows the need for tools and methods that would not be only in the hands of some powerful happy few. Now that social network analysis is done by more computer scientists than social scientists, it is essential to remember the social implications of algorithms when they are applied to human beings.
Fiber Lasers provides an overview of research results—from very basic to the most advanced—in the field of fiber laser technology. Both research and industrial activities in this area demonstrate important breakthroughs over the last 10 years. Major applications of fiber laser technology are reviewed, including continuous wave and pulse regimes, as well as their state-of-the-art performance, scientific challenges, and limitations. This book provides a more general overview of fiber laser technology, addressing the science, technical applications, and market numbers.
DEM Simulations of Bonded Granular Materials is intended to introduce the advancement of the distinct element method (DEM) and its particular application to typical bonded geomaterials, including cemented sands, unsaturated sands, lunar regolith, and methane hydrate bearing sands. After introducing contact models for different bonded geomaterials, the merit of DEM to cemented geomaterials is demonstrated through simulations of laboratory tests and engineering applications which can be problematic using conventional continuum-based approaches. This book is of value to those who are interested in the mechanical behavior and numerical simulations of natural particulate systems of complexity. It can be used as a textbook or reference for students at a graduate level who are majoring in civil engineering, materials science, and relevant subjects. This book systematically introduces the basic principle and application of DEM to bonded materials based on the first-hand research experiences gained by the author and his research team.
Bioprocess Engineering Principles, Third Edition provides a solid introduction to bioprocess engineering for students with a limited engineering background. The book explains process analysis from an engineering perspective using worked examples and problems that relate to biological systems. Application of engineering concepts is illustrated in areas of modern biotechnology, such as recombinant protein production, bioremediation, biofuels, drug development, and tissue engineering, as well as microbial fermentation. With new and expanded material, this remains the book of choice for students seeking to move into bioprocess engineering
Modeling and Simulation of Dynamical Systems explores the common methods used in the modeling and simulation of dynamic systems and provides foundational information essential for further research.A key feature of this title is its systematic separation and classification of various modeling methods, enabling readers to select their preferred approach after studying the initial chapter and becoming familiar with fundamental definitions.Another unique feature is the use of numerous examples and solved problems throughout the book to support a basic understanding of a system’s behavior.This title is highly recommended for researchers, professionals, and students in mechanical, biosystems, and mechatronic engineering.