Biochemical processes in sagebrush ecosystems: Interactions with terrain

The objectives of a biogeochemical study of sagebrush ecosystems in Wyoming and their interactions with terrain are as follows: to describe the vegetational pattern on the landscape and elucidate controlling variables, to measure the soil properties and chemical cycling properties associated with the vegetation units, to associate soil properties with vegetation properties as measured on the ground, to develop remote sensing capabilities for vegetation and surface characteristics of the sagebrush landscape, to develop a system of sensing snow cover and indexing seasonal soil to moisture; and to develop relationships between temporal Thematic Mapper (TM) data and vegetation phenological state

Simplicity of Completion Time Distributions for Common Complex Biochemical Processes

Biochemical processes typically involve huge numbers of individual reversible steps, each with its own dynamical rate constants. For example, kinetic proofreading processes rely upon numerous sequential reactions in order to guarantee the precise construction of specific macromolecules. In this work, we study the transient properties of such systems and fully characterize their first passage (completion) time distributions. In particular, we provide explicit expressions for the mean and the variance of the completion time for a kinetic proofreading process and computational analyses for more complicated biochemical systems. We find that, for a wide range of parameters, as the system size grows, the completion time behavior simplifies: it becomes either deterministic or exponentially distributed, with a very narrow transition between the two regimes. In both regimes, the dynamical complexity of the full system is trivial compared to its apparent structural complexity. Similar simplicity is likely to arise in the dynamics of many complex multi-step biochemical processes. In particular, these findings suggest not only that one may not be able to understand individual elementary reactions from macroscopic observations, but also that such understanding may be unnecessary

Computerised tomography indices of raised intracranial pressure and traumatic brain injury severity in a New Zealand sample

After traumatic brain injury (TBI) complex cellular and biochemical processes occur¹ including changes in blood flow and oxygenation of the brain; cerebral swelling; and raised intracranial pressure (ICP).² This can dramatically worsen the damage³ and contributes to mortality

Study of radiation effects on mammalian cells in vitro

Radiation effect on single cells and cell populations of Chinese hamster lung tissue is studied in vitro. The rate and position as the cell progresses through the generation cycle shows division delay, changes in some biochemical processes in the cell, chromosomal changes, colony size changes, and loss of reproductive capacity

Modeling Biochemical Processes as Designed Systems

Being in the post-genomic era, there is a need for new methodologies from an interdisciplinary perspective, which can complement current genomics research. Bioinformatics and systems biology are rapidly growing research areas that are meeting this need. Operating with the assumption that there is design with a purpose, creationists provide a unique perspective for discovering order in the complexity of genes, regulatory networks, and biochemical reactions. Since the genome acts as an information storage system, it seems reasonable to apply design concepts, originating from computer and network programming, to make sense of genomic information. One such concept is that of design patterns, which has been formalized by programmers and analysts working with object-oriented programming (OOP). Several patterns are introduced and related to biochemical systems in the cell. A more detailed analysis of the observer pattern is made in the context of galactose metabolism in Saccharomyces cerevisiae. Since design patterns embody good OOP practice and do not specify a specific implementation, it is possible to explore a variety of implementations that can achieve regulation of galactose metabolism. This methodology can complement current research approaches by clarifying what is meant by system homology at the biochemical level

Modeling Biochemical Processes as Designed Systems

Being in the post-genomic era, there is a need for new methodologies from an interdisciplinary perspective, which can complement current genomics research. Bioinformatics and systems biology are rapidly growing research areas that are meeting this need. Operating with the assumption that there is design with a purpose, creationists provide a unique perspective for discovering order in the complexity of genes, regulatory networks, and biochemical reactions. Since the genome acts as an information storage system, it seems reasonable to apply design concepts, originating from computer and network programming, to make sense of genomic information. One such concept is that of design patterns, which has been formalized by programmers and analysts working with object-oriented programming (OOP). Several patterns are introduced and related to biochemical systems in the cell. A more detailed analysis of the observer pattern is made in the context of galactose metabolism in Saccharomyces cerevisiae. Since design patterns embody good OOP practice and do not specify a specific implementation, it is possible to explore a variety of implementations that can achieve regulation of galactose metabolism. This methodology can complement current research approaches by clarifying what is meant by system homology at the biochemical level

Modeling Biochemical Processes as Designed Systems

Being in the post-genomic era, there is a need for new methodologies from an interdisciplinary perspective, which can complement current genomics research. Bioinformatics and systems biology are rapidly growing research areas that are meeting this need. Operating with the assumption that there is design with a purpose, creationists provide a unique perspective for discovering order in the complexity of genes, regulatory networks, and biochemical reactions. Since the genome acts as an information storage system, it seems reasonable to apply design concepts, originating from computer and network programming, to make sense of genomic information. One such concept is that of design patterns, which has been formalized by programmers and analysts working with object-oriented programming (OOP). Several patterns are introduced and related to biochemical systems in the cell. A more detailed analysis of the observer pattern is made in the context of galactose metabolism in Saccharomyces cerevisiae. Since design patterns embody good OOP practice and do not specify a specific implementation, it is possible to explore a variety of implementations that can achieve regulation of galactose metabolism. This methodology can complement current research approaches by clarifying what is meant by system homology at the biochemical level