Cell Membrane Nanodomains: From Biochemistry to Nanoscopy describes recent advances in our understanding of membrane organization, with a particular focus on the cutting-edge imaging techniques that are making these new discoveries possible. With contributions from pioneers in the field, the book explores areas where the application of these novel techniques reveals new concepts in biology. It assembles a collection of works where the integration of membrane biology and microscopy emphasizes the interdisciplinary nature of this exciting field. Beginning with a broad description of membrane organization, including seminal work on lipid partitioning in model systems and the roles of proteins in membrane organization, the book examines how lipids and membrane compartmentalization can regulate protein function and signal transduction. It then focuses on recent advances in imaging techniques and tools that foster further advances in our understanding of signaling nanoplatforms. The coverage includes several diffraction-limited imaging techniques that allow for measurements of protein distribution/clustering and membrane curvature in living cells, new fluorescent proteins, novel Laurdan analyses, and the toolbox of labeling possibilities with organic dyes. Since superresolution optical techniques have been crucial to advancing our understanding of cellular structure and protein behavior, the book concludes with a discussion of technologies that are enabling the visualization of lipids, proteins, and other molecular components at unprecedented spatiotemporal resolution. It also explains the ins and outs of the rapidly developing high- or superresolution microscopy field, including new methods and data analysis tools that exclusively pertain to these techniques. This integration of membrane biology and advanced imaging techniques emphasizes the interdisciplinary nature of this exciting field. The array of contributions from leading world experts makes this book a valuable tool for the visualization of signaling nanoplatforms by means of cutting-edge optical microscopy tools.
Author: Markus Aschwanden
Publisher: Springer Science & Business Media
Release Date: 2011-01-11
Markus Aschwanden introduces the concept of self-organized criticality (SOC) and shows that due to its universality and ubiquity it is a law of nature for which he derives the theoretical framework and specific physical models in this book. He begins by providing an overview of the many diverse phenomena in nature which may be attributed to SOC behaviour. The author then introduces the classic lattice-based SOC models that may be explored using numerical computer simulations. These simulations require an in-depth knowledge of a wide range of mathematical techniques which the author introduces and describes in subsequent chapters. These include the statistics of random processes, time series analysis, time scale distributions, and waiting time distributions. Such mathematical techniques are needed to model and understand the power-law-like occurrence frequency distributions of SOC phenomena. Finally, the author discusses fractal geometry and scaling laws before looking at a range of physical SOC models which may be applicable in various aspects of astrophysics. Problems, solutions and a glossary will enhance the pedagogical usefulness of the book. SOC has been receiving growing attention in the astrophysical and solar physics community. This book will be welcomed by students and researchers studying complex critical phenomena.
This book investigates collisions occurring in the motion of solids, in the motion of fluids but also in the motion of pedestrians in crowds. The duration of these presented collisions is short compared to the whole duration of the motion: they are assumed instantaneous. The innovative concept demonstrated in this book is that a system made of two solids, is deformable because their relative position changes. The definition of the velocities of deformation of the system introduced in the classical developments of mechanics, the principle of the virtual work and the laws of thermodynamics, allows a large range of applications such as crowd motions, debris flow motions, and shape memory alloys motions. The set of the applications is even larger: social sciences and mechanics are unified to predict the motion of crowds with application to transport management and to evacuation of theaters management.
This conference presents a new computing technology with powerful applications. Many of the applications in fields like robotics and manufacturing incorporate advances in neural networks and fuzzy logic.