Найти книгу: "The Physical Microbe"

The new field of physical biology fuses biology and physics. New technologies have allowed researchers to observe the inner workings of the living cell, one cell at a time. With an abundance of new data collected on individual cells, including observations of individual molecules and their interactions, researchers are developing a quantitative, physics-based understanding of life at the molecular level. They are building detailed models of how cells use molecular circuits to gather and process information, signal to each other, manage noise and variability, and adapt to their environment. This book narrows down the scope of physical biology by focusing on the microbial cell. It explores the physical phenomena of noise, feedback, and variability that arise in the cellular information-processing circuits used by bacteria. It looks at the microbe from a physics perspective, to ask how the cell optimizes its function to live within the constraints of physics. It introduces a physical and information based – as opposed to microbiological – perspective on communication and signaling between microbes. The book is aimed at non-expert scientists who wish to understand some of the most important emerging themes of physical biology, and to see how they help us to understand the most basic forms of life.

The book is a collection of papers presented at the conference «Russia and Norway: Physical and Symbolic Borders» held in St Petersburg in April 2005 in connection with the opening of the exhibition «Norway – Russia. Neighbours through the ages». In the book different aspects of the history of the Norwegian-Russian border are covered by historians from Moscow, St Petersburg, Arkhangelsk, Copenhagen, Cambridge, Bergen and Tromso. The papers are diverse and refer to different chronological periods. One group of articles deals with problems connected with the medieval border treaties between Norway and Novgorodian Russia, others with the diplomatic history of the border convention of 1826, as well as its effect on ethnic minorities living in the border area. One author addresses the present-day delimitation controversy between Norway and Russia in the Barents Sea. Other articles deal with symbolic borders, for example, barriers in translating Russian literature into Norwegian, and borders between the two cultures, experienced by the Russian emigrants in Norway after the Russian Revolution. And finally, there are articles without explicit references to the concept of borders, where the authors investigate in more general terms different aspects of Norwegian-Russian relations.

Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.

GARP's Fundamentals of Energy Risk Management introduces investors to the basic components and some of the basic terminology used in the energy industry. It covers the commodity cycle, energy use and sources, and various risk types, various energy products and the markets where energy is traded. It also introduces certain risk management fundamentals and real option thinking. The book is GARP's required text used by risk professionals looking to obtain their Certificate in Energy Risk Management.