Search

This monograph provides a comprehensive study of the Riemann problem for systems of conservation laws arising in continuum physics. It presents the state-of-the-art on the dynamics of compressible fluids and mixtures that undergo phase changes, while remaining accessible to applied mathematicians and engineers interested in shock waves, phase boundary propagation, and nozzle flows. A large selection of nonlinear hyperbolic systems is treated here, including the Saint-Venant, van der Waals, and Baer-Nunziato models. A central theme is the role of the kinetic relation for the selection of under-compressible interfaces in complex fluid flows. This book is recommended to graduate students and researchers who seek new mathematical perspectives on shock waves and phase dynamics.

This book discusses current techniques and instrumentation for cluster chemistry. It addresses both the experimental and theoretical aspects of gas-phase metal cluster reactivities, especially those pertaining to pollution removal, energetic reactions and corrosion and anticorrosion. These metal cluster systems have attracted enormous interest as they display a completely new class of physical, chemical, electronic, magnetic and catalytic properties. As these properties change with size and composition, it can thus be understood how their nature evolves from atoms to bulk solids. The book offers readers a basic understanding of the structural chemistry and reactivity of metal clusters in both gas-phase and wet chemistry. Further, the lessons they learn here regarding metal cluster chemistry will prepare researchers for the study of condensed phase dynamics that pertain to wet chemical synthesis, soft-landing deposition and cluster assembly.

This thesis examines the unique properties of gallium arsenide (GaAs)-based quantum-dot semiconductor optical amplifiers for optical communication networks, introducing readers to their fundamentals, basic parameters and manifold applications. The static and dynamic properties of these amplifiers are discussed extensively in comparison to conventional, non quantum-dot based amplifiers, and their unique advantages are elaborated on, such as the fast carrier dynamics and the decoupling of gain and phase dynamics. In addition to diverse amplification scenarios involving single and multiple high symbol rate amplitude and phase-coded data signals, wide-range wavelength conversion as a key functionality for optical signal processing is investigated and discussed in detail. Furthermore, two novel device concepts are developed and demonstrated that have the potential to significantly simplify network architectures, reducing the investment and maintenance costs as well as the energy consumption of future networks.

This book presents the select proceedings of the Biennial Photonics Conference (Photonics 2023) held at IISc, Bengaluru on 5-8 July 2023. It covers topics across multiple areas of photonics, including established areas like optical communication and networks, quantum optics, ​non-linear and ultrafast photonics​, nanophotonics​, biophotonics and bioimaging, ​​photonic integrated circuits​, fibers and sensors, optical materials and fabrication techniques, optical metrology, and instrumentation, optofluidics, ​laser applications, ​optoelectronics. The book also covers emerging areas in photonics, such as THz photonics, structured Light, 2D materials, optomechanics, topological photonics, and AI/ML in photonics. The book will be useful for researchers and professionals interested in the broad field of photonics.

This book compiles exceptional papers presented at the 19th Annual Conference of the China Electrotechnical Society (CES), held in Xi'an, China, from September 20 to 22, 2024. It encompasses a wide range of topics, including electrical technology, power systems, electromagnetic emission technology, and electrical equipment. The book highlights innovative solutions that integrate concepts from various disciplines, making it a valuable resource for researchers, engineers, practitioners, research students, and interested readers.

Adaptive Optics (AO) is a technique allowing the manipulation of the wavefront of the light benefitting multiple fields like Microscopy, Optical Coherence Tomography, Visual Testing, Optical Communications, and Astronomical Optics, just to mention some examples. Handbook of Adaptive Optics contains a complete picture of the technique from the foundations to the most promising applications of AO in a variety of fields.Within this book, the reader will find different sections, including: a complete and rigorous introduction to the foundation of the technique from a general perspective, providing the reader a solid basis in AO with particular emphasis on wavefront sensing methods and aberration correctors. It also discusses state-of-the-art applications and industrial usages with their particular constraints and methods to incorporate AO, like in some imaging techniques of importance for Biomedical Optics, in Astronomy and for Visual Optics. Furthermore, it explores discussions of the future of AO together with some of the most exciting emerging applications, including quantum technologies, scattering correction, space telescopes, and discrete AO, among others.This timely handbook will be an important companion to those starting in the field, but it will also serve as a comprehensive resource for researchers and experts who are already working with AO.

This book presents insights from the IUTAM Symposium on Nonlinear Dynamics for Design of Mechanical Systems Across Different Length/Time Scales. It covers a diverse array of topics, including applications of parametric amplification and self-excitation, as well as the design and analysis of devices and systems that harness geometric and material nonlinearities. The book features chapters on nonlinear energy transfer, eigenfrequency detection through subharmonic and superharmonic resonances, and the innovative use of nonlinear mode localization. The authors explore dynamic stabilization under high-frequency excitation, the utilization of multimode interactions and nonlinear normal modes, and the application of nonlinear resonance and bifurcation in creating ultrasensitive sensors and high-performance actuators. This book provides a comprehensive record of the symposium's discussions, representing a collective effort to expand our understanding of nonlinear phenomena and its potential to reshape the landscape of mechanical system design.

Dire reports of surging deforestation in the Brazilian Amazon appear often in international headlines, with commentators decrying the destruction of tree-covered habitats as an act of environmental vandalism. Although forest losses are alarming, broader trends are bending in the direction of forest recovery. In this book, Brent Sohngen and Douglas Southgate address the long-term recovery of forests in Latin America. The authors synthesize trends in demography, agricultural development, and technological change, and argue that slower population growth and increasing crop and tree yields—in conjunction with protecting local ownership of natural resources—have encouraged forest transition. This book explores how market forces, ownership arrangements, and the enforcement of property rights have influenced this shift from net deforestation to net afforestation. Forest transitions have happened before, such as the recovery of tree-covered habitats in Europe and the United States. Signs of a similar transformation in land use are now present in Latin America. Ending deforestation requires a strengthening of forest dwellers'property rights while ensuring that biodiversity conservation is no longer treated as a value-less externality. The resulting forest landscape, actively managed for ecosystem services, will be more resilient, as is needed to overcome climate change.

This comprehensive textbook deals with multidimensional aspects of macroeconomics through lucid presentation of concepts and critical comparison of different schools of thought.The book explains how the incomes of a country, prices of goods and services, level of employment, interest rates and so on are determined and how an economy progresses. It attempts to re-establish the existing theories behind the determination of macro variables and the growth process of an economy. In the process, it captures the significance of the debate between the classical orthodox theories and Keynesian modernism and its implications.Besides, adhering to traditional aspects, the volume also focuses on recent developments such as green macroeconomics. Undergraduate and postgraduate students of economics and business economics will find this book immensely helpful.

The conventional generation of a substantial quantity of hydrogen from resources based on fossil fuels continues to play an essential role in the hydrogen economy. Hydrogen Production from Nonrenewable Resources offers a comprehensive overview and features three sections covering properties and characteristics of hydrogen, technologies for converting nonrenewable sources to hydrogen, and challenges in synthesis and production. Details of thermophysical characteristics and properties of hydrogen Covers conventional and novel industrial technologies for efficient production Explores environmental opportunities and challenges and health and safety regulations Provides techno‑economic and lifecycle assessments with future outlooks Part of the multivolume Handbook of Hydrogen Production and Applications, this standalone book guides researchers and academics in chemical, environmental, energy, and related areas of engineering interested in the development and implementation of hydrogen production technologies.

Magill's Motor Learning and Control: Concepts and Applications introduces the study of motor learning and control to students pursuing careers in exercise science, physical education, and other movement-oriented fields. Each chapter presents motor learning and control as a set of principles and guidelines based on research evidence. Recent scholarship is interpreted and used to explore core concepts and basic theory. Application Problems guide students to consider real-world applications of the theory and research they have studied. The authors'clear writing style and practical applications will help students build a solid foundation and prepare them for further exploration on their own.

Embark on a transformative journey into the world of Pester and elevate your PowerShell scripting to new heights of robustness, reliability, and efficiency. This comprehensive beginner's guide provides a hands-on approach to PowerShell testing using Pester, empowering you to enhance your code quality with confidence.The book starts with an introduction to Pester, the powerful testing and mocking framework for PowerShell. You'll gain a solid foundation by exploring Pester's fundamental building blocks. The book guides you through the phases of Pester, helping you write your initial Pester code. You will dive into topics such as tags, assertions with Should and parameter filters, and you will explore advanced techniques such as Test Drive and Test Registry.You will discover the art of mocking in Pester and master its advanced testing methodologies. You will gain insights into working without installed modules and seamlessly integrating Pester with Azure DevOps Pipeline for a streamlined testing process.After reading this book, you will have the knowledge and skills to initiate your own exploration into PowerShell testing with Pester. You will transform your scripts into reliable powerhouses, ensuring the resilience and quality of your PowerShell code.What Will You LearnBuilding blocks and phases of PesterWriting effective Pester testsAssertions, mocking, and advanced testing techniquesIntegration with Azure DevOpsTags, code coverageWho This Book Is ForPowerShell scripters and Pester Framework beginners

Novel Treatments of Strong Correlations, Volume 90 in the Advances in Quantum Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Topics covered include Coupled Cluster, Stochastic CC, NOFT, Breaking the Symmetry Dilemma : Capturing Strong-Correlations by Restoration of Broken Symmetry Solutions, Flexible wavefunctions, Electronic Coupling to Optical Cavity Modes, Multireference Perturbation Theories Based on the Dyall Hamiltonian, The GW Approximation: A Quantum Chemistry Perspective, Geminals, and more. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in Advances in Quantum Chemistry series - Updated release includes the latest information on this timely topic

The book presents selected papers from the International Conference on Data Science and Communication (ICTDsC 2023) organized by the Department of Electronics and Communication Engineering and Department of Engineering Science and Humanities (DESH) Siliguri Institute of Technology, India during 23 – 24 March 2023 in Siliguri, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advanced computing, cloud computing, quantum computing, electronics system, Internet of Things, robotics and automations, blockchain and software technology, and digital technologies for future.

Two-Dimensional Materials for Nonlinear Optics Comprehensive resource covering concepts, perspectives, and skills required to understand the preparation, nonlinear optics, and applications of two-dimensional (2D) materials Bringing together many interdisciplinary experts in the field of 2D materials with their applications in nonlinear optics, Two-Dimensional Materials for Nonlinear Optics covers preparation methods for various novel 2D materials, such as transition metal dichalcogenides (TMDs) and single elemental 2D materials, excited-state dynamics of 2D materials behind their outstanding performance in photonic devices, instrumentation for exploring the photoinduced excited-state dynamics of the 2D materials spanning a wide time scale from ultrafast to slow, and future trends of 2D materials on a series of issues like fabrications, dynamic investigations, and photonic/optoelectronic applications. Powerful nonlinear optical characterization techniques, such as Z-scan measurement, femtosecond transient absorption spectroscopy, and microscopy, are also introduced. Edited by two highly qualified academics with extensive experience in the field, Two-Dimensional Materials for Nonlinear Optics covers sample topics such as: Foundational knowledge on nonlinear optical properties, and fundamentals and preparation methods of 2D materials with nonlinear optical properties Modulation and enhancement of optical nonlinearity in 2D materials, and nonlinear optical characterization techniques for 2D materials and their applications in a specific field Novel nonlinear optical imaging systems, ultrafast time-resolved spectroscopy for investigating carrier dynamics in emerging 2D materials, and transient terahertz spectroscopy 2D materials for optical limiting, saturable absorber, second and third harmonic generation, nanolasers, and space use With collective insight from researchers in many different interdisciplinary fields, Two-Dimensional Materials for Nonlinear Optics is an essential resource for materials scientists, solid state chemists and physicists, photochemists, and professionals in the semiconductor industry who are interested in understanding the state of the art in the field.

A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty.Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communitiesEncourages good coding practices, clear and understandable modeling, and accessible presentation of resultsHelps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scaleBuilds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulationsBridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their ownStand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB

A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty.Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communitiesEncourages good coding practices, clear and understandable modeling, and accessible presentation of resultsHelps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scaleBuilds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulationsBridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their ownStand-alone computational lab guides for Quantitative Biosciences also available in Python and MATLAB

A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty.Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communitiesEncourages good coding practices, clear and understandable modeling, and accessible presentation of resultsHelps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scaleBuilds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulationsBridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their ownStand-alone computational lab guides for Quantitative Biosciences also available in Python and R

Explore the latest developments in biological psychology today with the most widely used text for this area of study: Dr. James Kalat's BIOLOGICAL PSYCHOLOGY, 14E. This edition uses a clear writing style, precise examples and the latest research to make biological psychology understandable and to emphasize its importance to psychology as well as biology and pre-med study. Thought-provoking content, insights from contemporary researchers, amusing anecdotes and even try-it-yourself activities help convey the excitement behind biological explanations of behavior. This edition introduces breakthrough findings with more than 500 new research references as recent as 2022. You explore new insights into brain functions, autism, antidepressants and mental enhancement and weight-loss drugs as well as the latest on auditory changes, pain mechanisms and the olfactory effects of COVID-19. Cengage Infuse digital resources are also available with interactive learning tools.

Environmental Science:A Global Concern is a comprehensive presentation of environmental sciencefor non-science majors which emphasizes critical thinking, environmentalresponsibility, and global awareness. This book is intended for use in a one ortwo-semester course in environmental science, human ecology, or environmentalstudies at the college or advanced placement high school level.

Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modelling, Experimentation, and Validation presents a comprehensive view of the latest technical approaches and experimental capabilities in nuclear energy engineering. Based on Idaho National Laboratory's popular summer school series, this book compiles a collection of entries on the cutting-edge research and knowledge presented by proponents and developers of current and future nuclear systems, focusing on the connection between modelling and experimental approaches. Included in this book are key topics such as probabilistic concepts for risk analysis, the survey of legacy reliability and risk analysis tools, and newly developed tools supporting dynamic probabilistic risk-assessment. This book is an insightful and inspiring compilation of work from top nuclear experts from INL. Industry professionals, researchers and academics working in nuclear engineering, safety, operations and training will gain a board picture of the current state-of-practice and be able to apply that to their own risk-assessment studies. - Based on Idaho National Laboratory's summer school series, this book is a collection of entries from proponents and developers of current and future nuclear systems - Provides an up-to-date view of current technical approaches and experimental capabilities in nuclear energy engineering, covering modeling and validation, and focusing on risk-informed methods and applications - Equips the reader with an understanding of various case studies and experimental validations to enable them to carry out a risk-assessment study

This proceedings volume gathers selected, peer-reviewed papers presented at the Dynamical Systems Theory and Applications International Conference - DSTA 2021, held virtually on December 6-9, 2021, organized by the Department of Automation, Biomechanics, and Mechatronics at Lodz University of Technology, Poland. This volume focuses on numerical and analytical approaches, while Volume I concentrates on studies on applications.Being a truly international conference, this 16th iteration of DSTA received submissions from authors representing 52 countries. The program covered both theoretical and experimental approaches to widely understood dynamical systems, including topics devoted to bifurcations and chaos, control in dynamical systems, asymptotic methods in nonlinear dynamics, stability of dynamical systems, lumped mass and continuous systems vibrations, original numerical methods of vibration analysis, non-smooth systems, dynamics in life sciences and bioengineering, as well as engineering systems and differential equations.DSTA conferences aim to provide a common platform for exchanging new ideas and results of recent research in scientific and technological advances in modern dynamical systems. Works contained in this volume can appeal to researchers in the field, whether in mathematics or applied sciences, and practitioners in myriad industries.

This book is a compilation of carefully chosen chapters that cover the subjects of nanoscale matter, sensing, and labelling applications. It is aimed primarily at scientists and researchers who are already involved in theme-based research or who are just starting their careers. Despite the diverse nature of the topics covered, which include a range of materials in various forms and uses, the emphasis is primarily on sensing and labelling phenomena. The book begins with materials quantification in nanoscale systems by using an innovative technique like “molecular secondary ion mass spectrometry without calibration standards”. Subsequently, the book features an array of materials such as inorganic semiconductor nanoscale particles, carbon dots, rare-earth oxides, polymer nanocomposites, and a few biomaterials, all of which illustrate their functionality and potential for deployment in a wide variety of sensing applications. Although the book delves into the technical aspects of fabrication workouts to some extent, the focus is predominantly on the physical principles, mechanisms, and relevance involved in sensing and labelling applications. The book covers a wide range of topics that leverage the unique properties of nanoscale materials. By carefully selecting appropriate active materials, the authors explore the detection of LPG, hazardous and explosive gases, as well as humidity sensing and hydrogen evolution. It also delves into photo-sensing and persistent photoconductivity by using nanoscale semiconductors, which are used for heavy metal sensing and UV sensing, respectively. The use of metal nanoparticles in various forms is reviewed to address issues related to water contamination, biofilm protection, and food-borne pathogens. The book also discusses surface plasmon resonance, starting with its basic principles and expanding to its relevance in a broader perspective, with a greater focus on applied biosensing. Nanoscale ferrites and magnetic systems are explored with an emphasis on magnetic sensing and actuation. Lastly, the book explores the use of rare-earth-based nanosystems, highlighting persistent luminescence and up/down-converted transitions, which have unprecedented applications in bioimaging and biolabeling. Every effort has been made to strike a balance between the observed phenomena in the emerging areas of sensing applications and suitable theoretical treatments there in.

This open access book offers a timely and comprehensive review of the field of neurotronics. Gathering cutting-edge contributions from neuroscientists, biologists, psychologists, as well as physicists, microelectronics engineers and information scientists, it gives extensive information on fundamental information pathways in selected nervous systems. It also highlights their relevance as building blocks for novel computing architectures, such as bio-inspired electronic devices, neuromorphic architectures, memristive devices, adaptive sensors and emergent, pulsed-coupled oscillatory networks. All in all, this book offers a unique bridge between fundamental research in neuroscience, neural information processing, nonlinear dynamics, and self-organization, and advanced practical applications concerning the fabrication of hardware-oriented computing.

This open access proceedings volume brings selected, peer-reviewed contributions presented at the Third Stochastic Transport in Upper Ocean Dynamics (STUOD) 2022 Workshop, held virtually and in person at the Imperial College London, UK, September 26–29, 2022. The STUOD project is supported by an ERC Synergy Grant, and led by Imperial College London, the National Institute for Research in Computer Science and Automatic Control (INRIA) and the French Research Institute for Exploitation of the Sea (IFREMER). The project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. It will provide decision makers a means of quantifying the effects of local patterns of sea level rise, heat uptake, carbon storage and change of oxygen content and pH in the ocean. Its multimodal monitoring will enhance the scientific understanding of marine debris transport, tracking of oil spills and accumulation of plastic in the sea.All topics of these proceedings are essential to the scientific foundations of oceanography which has a vital role in climate science. Studies convened in this volume focus on a range of fundamental areas, including:Observations at a high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves and velocity;Large scale numerical simulations;Data-based stochastic equations for upper ocean dynamics that quantify simulation error;Stochastic data assimilation to reduce uncertainty.These fundamental subjects in modern science and technology are urgently required in order to meet the challenges of climate change faced today by human society. This proceedings volume represents a lasting legacy of crucial scientific expertise to help meet this ongoing challenge, for the benefit of academics and professionals in pure and applied mathematics, computational science, data analysis, data assimilation and oceanography.

This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.