A variety of biophysical applications (e.g. leaf area index and evapotranspiration) have been derived from using remote sensing methods as for example from NASA s MODIS sensors and other satellite platforms. In Biophysical Applications of Satellite Remote Sensing the authors thoroughly describe the major applications of satellite remote sensing for studying earth's biophysical phenomena. Starting with an introductory and historical overview of the biophysical applications of satellite remote sensing the book provides a comprehensive background and reference base for researchers and newcomers to the field. The focus of the book lies on the broad palette of specific applications (metrics) of biophysical activity derived using satellite remote sensing. Each type of application is described and its use discussed in detail; this includes the theoretical background and methodology, validation efforts by using in-situ observations and major scientific findings associated with each application. With its in-depth discussions of satellite-derived biophysical metrics with an emphasis on theory, methodology, validation, major findings and directions of future research, this book provides an excellent resource for remote sensing specialists, ecologists, geographers, biologists, climatologists and environmental scientists.

The volume that you have before you is the result of a growing realization that fluctuations in nonequilibrium systems playa much more important role than was 1 first believed. It has become clear that in nonequilibrium systems noise plays an active, one might even say a creative, role in processes involving self-organization, pattern formation, and coherence, as well as in biological information processing, energy transduction, and functionality. Now is not the time for a comprehensive summary of these new ideas, and I am certainly not the person to attempt such a thing. Rather, this short introductory essay (and the book as a whole) is an attempt to describe where we are at present and how the viewpoint that has evolved in the last decade or so differs from those of past decades. Fluctuations arise either because of the coupling of a particular system to an ex ternal unknown or "unknowable" system or because the particular description we are using is only a coarse-grained description which on some level is an approxima tion. We describe the unpredictable and random deviations from our deterministic equations of motion as noise or fluctuations. A nonequilibrium system is one in which there is a net flow of energy. There are, as I see it, four basic levels of sophistication, or paradigms, con cerning fluctuations in nature. At the lowest level of sophistication, there is an implicit assumption that noise is negligible: the deterministic paradigm."

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.

This book reports on advanced theories and methods in three related fields of research: applied physics, system science and computers. It is organized in two main parts, the first of which covers applied physics topics, including lasers and accelerators; condensed matter, soft matter and materials science; nanoscience and quantum engineering; atomic, molecular, optical and plasma physics; as well as nuclear and high-energy particle physics. It also addresses astrophysics, gravitation, earth and environmental science, as well as medical and biological physics. The second part focuses on advances in system science and computers, exploring automatic circuit control, power systems, computer communication, fluid mechanics, simulation and modeling, software engineering, data structures and applications of artificial intelligence among other areas. Offering a collection of contributions presented at the 1st International Conference on Applied Physics, System Science and Computers (APSAC 2016), the book bridges the gap between applied physics and electrical engineering. It not only to presents new methods, but also promotes collaborations between different communities working on related topics at the interface between physics and engineering, with a special focus on communication, data modeling and visualization, quantum information, applied mechanics as well as bio and geophysics.

From quantum theory to statistical mechanics, the methodologies of physics are often used to explain some of life's most complex biological problems. Exploring this challenging yet fascinating area of study, Molecular and Cellular Biophysics covers both molecular and cellular structures as well as the biophysical processes that occur in these structures. Designed for advanced undergraduate and beginning graduate students in biophysics courses, this textbook features a quantitative approach that avoids being too abstract in its presentation. Logically organized from small-scale (molecular) to large-scale (cellular) systems, the text first defines life, discussing the scientific controversies between mechanists and vitalists, the characteristics of living things, and the evolution of life. It then delves into molecular structures, including nucleic acids, DNA, RNA, interatomic interactions, and hydrogen bonds. After looking at these smaller systems, the author probes the larger cellular structures. He examines the cytoplasm, the cytoskeleton, chromosomes, mitochondria, motor proteins, and more. The book concludes with discussions on biophysical processes, including oxidative phosphorylation, diffusion, bioenergetics, conformational transitions in proteins, vesicle transport, subcellular structure formation, and cell division.

Polymer translocation occurs in many biological and biotechnological phenomena where electrically charged polymer molecules move through narrow spaces in crowded environments. Unraveling the rich phenomenology of polymer translocation requires a grasp of modern concepts of polymer physics and polyelectrolyte behavior. Polymer Translocation discusses universal features of polymer translocations and summarizes the key concepts of polyelectrolyte structures, electrolyte solutions, ionic flow, mobility of charged macromolecules, polymer capture by pores, and threading of macromolecules through pores. With approximately 150 illustrations and 850 equations, the book: Avoids heavy mathematics Uses examples to illustrate the richness of the phenomenon Introduces the entropic barrier idea behind polymer translocation Outlines conceptual components necessary for a molecular understanding of polymer translocation Provides mathematical formulas for the various quantities pertinent to polymer translocation The challenge in understanding the complex behavior of translocation of polyelectrolyte molecules arises from three long-range forces due to chain connectivity, electrostatic interactions, and hydrodynamic interactions. Polymer Translocation provides an overview of fundamentals, established experimental facts, and important concepts necessary to understand polymer translocation. Readers will gain detailed strategies for applying these concepts and formulas to the design of new experiments.

Macromolecules in the body form noncovalent associations, such as DNA-protein or protein-protein complexes, that control and regulate numerous cellular functions. Understanding how changes in the concentration and conformation of these macromolecules can trigger physiological responses is essential for researchers developing drug therapies to treat diseases affected by these imbalances. Introduction to Macromolecular Binding Equilibria gives students in medicinal chemistry, pharmaceuticals, and bioengineering the necessary background in biophysical chemistry for research applications in drug discovery and development. Building upon a fundamental knowledge of calculus and physical chemistry, this compact, graduate-level text prepares students for advanced work in solution thermodynamics and binding phenomena and applying methods in this book to their own research. This book describes the underlying theory of binding phenomena and explains how to apply the binding polynomial approach for building models and interpreting data. It also covers practical considerations for setting up binding experiments and describes how to obtain true thermodynamic isotherms unbiased by model assumption via model-free analysis of binding data.

Nuclear physics is an exciting, broadly faceted field. It spans a wide range of topics, reaching from nuclear structure physics to high-energy physics, astrophysics and medical physics (heavy ion tumor therapy). New developments are presented in this volume and the
status of research is reviewed. A major focus is put on nuclear structure physics, dealing with superheavy elements and with various forms of exotic nuclei: strange nuclei, very neutron rich nuclei, nuclei of antimatter. Also quantum electrodynamics of strong fields is addressed, which is linked to the occurrence of giant nuclear systems in, e.g., U+U collisions. At high energies nuclear physics joins with elementary particle physics. Various chapters address the theory of
elementary matter at high densities and temperature, in particular the quark gluon plasma which is predicted by quantum chromodynamics (QCD) to occur in high-energy heavy ion collisions. In the field of nuclear
astrophysics, the properties of neutron stars and quark stars are discussed. A topic which transcends nuclear physics is discussed in two chapters: The proposed pseudo-complex extension of Einstein's General Relativity leads to the prediction that there are no black
holes and that big bang cosmology has to be revised. Finally, the interdisciplinary nature of this volume is further accentuated by chapters on protein folding and on magnetoreception in birds and many other animals."

This book mainly focuses on key aspects of biomembranes that have emerged over the past 15 years. It covers static and dynamic descriptions, as well as modeling for membrane organization and shape at the local and global (at the cell level) scale. It also discusses several new developments in non-equilibrium aspects that have not yet been covered elsewhere. Biological membranes are the seat of interactions between cells and the rest of the world, and internally, they are at the core of complex dynamic reorganizations and chemical reactions. Despite the long tradition of membrane research in biophysics, the physics of cell membranes as well as of biomimetic or synthetic membranes is a rapidly developing field. Though successful books have already been published on this topic over the past decades, none include the most recent advances. Additionally, in this domain, the traditional distinction between biological and physical approaches tends to blur. This book gathers the most recent advances in this area, and will benefit biologists and physicists alike.

Get Insight on the Function of Supercomplexes in Biological Systems Redox Proteins in Supercomplexes and Signalosomes is one of the first books to explore the key role played by redox proteins and their interaction network in a wide range of essential cellular processes in all domains of life. The book explains how the mitochondrial respiratory chain is dynamically organized in supercomplexes even under physiological conditions. It also addresses the impact of supercomplex assembly on mitochondrial morphology, physiology, and biogenesis to shed light on the molecular mechanisms of pathological situations, including aging. Discover the Connection between Bioenergetic Supercomplexes and Signalosomes Compiling state-of-the-art research from leading practitioners in the field, this book gives you guidance on dealing with these biological systems in your investigations. The book shows that supercomplexes and signalosomes provide the link between reductive and systems biology, which enables us to understand how the molecular properties of individual macromolecular components trigger cellular function.

This book gives physical chemists a broader view of potential biological applications of their techniques for the study of nucleic acids in the gas phase. It provides organic chemists, biophysicists, and pharmacologists with an introduction to new techniques they can use to find the answers to yet unsolved questions. Laboratory sciences have bloomed with a variety of techniques to decipher the properties of the molecules of life. This volume introduces techniques used to investigate the properties of nucleic acids in the absence of solvent. It highlights the specificities pertaining to the studies of nucleic acids, although some of the techniques can similarly be applied to the study of other biomolecules, like proteins. The first part of the book introduces the techniques, from the transfer of nucleic acids to the gas-phase, to their detailed physico-chemical investigation. Each chapter is devoted to a specific molecular property, and illustrates how various approaches (experimental and theoretical) can be combined for the interpretation.
The second part of the book is devoted to applying the gas-phase approaches to solve specific questions related to the biophysics, biochemistry or pharmacology of nucleic acids.

Over the past decade, numerous books have attempted to explain ions in aqueous solutions in relation to biophysical phenomena. Ions in Water and Biophysical Implications, from Chaos to Cosmos offers a physicochemical point of view of the spread of this matter and suggests innovative solutions that will challenge the biophysics research establishment. Starting with a throughout discussion of the properties of liquid water, in particular as a structured liquid with an extensive hydrogen bonded structure, the book examines water as a solvent for gases, non-electrolytes, and electrolytes and reviews the properties, sizes and thermodynamics of isolated and aqueous ions, as well as their interactions, including those of polyelectrolytes. The effects of ions on water structure, including those on solvent dynamics and certain thermodynamic quantities, are presented. This volume investigates water surfaces with its vapour, with another liquid, and with a solid, as well as the effects of solutes, including simple ions and the water-miscible non-electrolytes. Surfaces are relevant to biomolecular and colloidal systems and the book discusses briefly surfactants, micelles and vesicles. Finally, the book concludes with a review of the various biophysical implications involving chaotropic and kosmotropic ions in homogeneous solutions and the Hofmeister series for ions concerning biomolecular and colloidal systems and some aspects of protein hydration and K+/Na+ selectivity in ion channels. Ions in Water and Biophysical Implications, from Chaos to Cosmos will appeal to physical chemists, biophysicists, biochemists, as well as to all students and researchers involved in the study of aqueous solutions.

Three-volumes book "Handbook of II-VI Semiconductor-Based Sensors and Radiation Detectors" is the first to cover both chemical sensors and biosensors and all types of photodetectors and radiation detectors based on II-VI semiconductors. It contains a comprehensive and detailed analysis of all aspects of the application of II-VI semiconductors in these devices. The second volume "Photodetectors" of a three-volume set, focus on the consideration of all types of optical detectors, including IR detectors, visible and UV photodetectors. This consideration includes both the fundamentals of the operation of detectors and the peculiarities of their manufacture and use. In particular, describes numerous strategies for their fabrication and characterization. An analysis of new trends in development of II-VI semiconductors-based photodetectors such as graphene/HgCdTe-, nanowire- and quantum dot-based photodetectors, as well as solution-processed, multicolor, flexible and self-powered photodetectors, are also given.

This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics reflect Angstrom-scale maps of electron density. The author explores protein sequences (primary structures), both individually and in sets (systems) with the help of probability and information tools. This perspective will enhance the reader's knowledge of how an important class of molecules is designed and put to task in natural systems, and how we can approach class members in hands-on ways.

This book is a comprehensive summary of 50 years of research from theoretical predictions to experimental confirmation of the manifestation of spin exchange in EPR spectroscopy. The author unfolds the details of comprehensive state of the art of theoretical calculations, which have been proven to become the core of the paradigm shift in spin exchange and set the direction for the future of spin exchange research. The book refers to important experimental data that confirms the theory. It describes the modern protocol for determining the bi-molecular spin exchange rate from the EPR spectra, which will be especially interesting for experimentalists. Given its scope, the book will benefit all researchers engaged in theory and experiments in the area of spin exchange and its manifestations in EPR spectroscopy, where many remarkable applications of the spin probe have been developed.

Since most therapeutic efforts have been predominantly focused on pharmaceuticals that target proteins, there is an unmet need to develop drugs that intercept cellular pathways that critically involve nucleic acids. Progress in the discovery of nucleic acid binding drugs naturally relies on the availability of analytical methods that assess the efficacy and nature of interactions between nucleic acids and their putative ligands. This progress can benefit tremendously from new methods that probe nucleic acid/ligand interactions both rapidly and quantitatively. A variety of novel methods for these studies have emerged in recent years, and Methods for Studying DNA/Drug Interactions highlights new and non-conventional methods for exploring nucleic acid/ligand interactions. Designed to present drug-developing companies with a survey of possible future techniques, the book compares their drawbacks and advantages with respect to commonly used tools. Perhaps more importantly, this book was written to inspire young scientists to continue to advance these methods into fruition, especially in light of current capabilities for assay miniaturization and enhanced sensitivity using microfluidics and nanomaterials.

Molecular recognition, also known as biorecognition, is the heart of all biological interactions. Originating from protein stretching experiments, dynamic force spectroscopy (DFS) allows for the extraction of detailed information on the unbinding process of biomolecular complexes. It is becoming progressively more important in biochemical studies and is finding wider applications in areas such as biophysics and polymer science. In six chapters, Dynamic Force Spectroscopy and Biomolecular Recognition covers the most recent ideas and advances in the field of DFS applied to biorecognition: Chapter 1: Reviews the basic and novel aspects of biorecognition and discusses the emerging capabilities of single-molecule techniques to disclose kinetic properties and molecular mechanisms usually hidden in bulk measurements Chapter 2: Describes the basic principle of atomic force microsocopy (AFM) and DFS, with particular attention to instrumental and theoretical aspects more strictly related to the study of biomolecules Chapter 3: Overviews the theoretical background in which experimental data taken in nonequilibrum measurements of biomolecular unbinding forces are extrapolated to equilibrium conditions Chapter 4: Reviews the most common and efficient strategies adopted in DFS experiments to immobilize the interacting biomolecules to the AFM tip and to the substrate Chapter 5: Presents and discusses the most representative aspects related to the analysis of DFS data and the challenges of integrating well-defined criteria to calibrate data in automatic routinary procedures Chapter 6: Overviews the most relevant DFS applications to study biorecognition processes, including the biotin/avidin pair, and selected results on various biological complexes, including antigen/antibody, proteins/DNA, and complexes involved in adhesion processes Chapter 7: Summarizes the main results obtained by DFS applied to study biorecognition processes with forthcoming theoretical and experimental advances Although DFS is a widespread, worldwide technique, no books focused on this subject have been available until now. Dynamic Force Spectroscopy and Biomolecular Recognition provides the state of the art of experimental data analysis and theoretical procedures, making it a useful tool for researchers applying DFS to study biorecognition processes.

Lasers are progressively more used as versatile tools for fabrication purposes. The wide range of available powers, wavelengths, operation modes, repetition rates etc. facilitate the processing of a large spectrum of materials at exceptional precision and quality. Hence, manifold methods were established in the past and novel methods are continuously under development. Biomimetics, the translation from nature-inspired principles to technical applications, is strongly multidisciplinary. This field offers intrinsically a wide scope of applications for laser based methods regarding structuring and modification of materials. This book is dedicated to laser fabrication methods in biomimetics. It introduces both, a laser technology as well as an application focused approach. The book covers the most important laser lithographic methods and various biomimetics application scenarios ranging from coatings and biotechnology to construction, medical applications and photonics.

This lecture volume aims to give students and researchers in this rapidly expanding field of biophotonics an interdisciplinary perspective. Among the primary topics are ultrahigh resolution microscopy, particle tracking, photon correlation spectroscopy, and nonlinear optical methods as used in biological and biomedical research, with a focus on current applications in biophysics and biomedicine.

The physical-chemical properties of the omega-3 fatty acid DHA (docosahexaenoic acid) enable it to facilitate rapid biochemical processes in the membrane. This effect has numerous benefits, including those involved in the growth of bacteria, rapid energy generation, human vision, brain impulse, and photosynthesis, to name a few. Yet DHA also carries risks that can lead to cellular death and disease. Omega-3 Fatty Acids and the DHA Principle explores the roles of omega-3 fatty acids in cellular membranes ranging from human neurons and swimming sperm to deep sea bacteria, and develops a principle by which to assess their benefits and risks. The DHA Principle states that the blending of lipids to form cellular membranes is evolutionarily-honed to maximize benefit while minimizing risk, and that a complex blending code involving conformational dynamics, energy stress, energy yield, and chemical stability underlies all cellular membranes. This book lays the groundwork to understanding this code. It examines the evolution of DHA and the membrane and explores the general properties of omega-3s and other membrane lipids. It then focuses on cellular biology before shifting to a practical discussion on applications. The authors discuss the DHA Principle as applied to petroleum degradation, winemaking, global warming, molecular farming, aging, neurodegenerative diseases, and the prevention of colon cancer. Reflecting the increased public interest that has emerged over the years, this volume uses an integrative approach to explain the complex roles of omega-3s in the membrane. Incorporating principles from chemistry, cellular biology, evolution, and ecology, this work gives researchers in a variety of fields the building blocks to stimulate further study.