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One way to illustrate this is through the example of a water pipe with a diameter of 2 feet that gives you a throughput of 20 gallons of water per second if no one else is tapping out water before it reaches you. That s good throughput and you will get 100 gallons in 5 seconds. But, if there are several others before you who are tapping out water, the decreased water pressure may get you only 2 gallons/second, and your latency is 50 seconds. Now that s a long wait for a user. It is intuitive to say that systems with high throughput will have low latency. This is usually true, except when the load on the system is so high that, despite the fact that the system is working at high throughput, users have to wait for their submitted jobs to complete. Users, therefore, are subjected to high latency.

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The left side of the dialog box determines the angle from the X axis in the XY plane. These angles work as follows: 270 0 90 180 Front view Right view Back view Left view

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For the purposes of this discussion, pharmacologic research is very broadly de ned and considered to include three areas The rst area is drug discovery or development The second area is often described as pharmacogenetics This is the study of differences in ef cacy or toxicity of drugs and treatment protocols in different individuals and is increasingly focusing on understanding the genetic basis and biological mechanisms for hypo- and hyperresponse to pharmacologic agents The third area, disease prevention, is not often included in discussions of pharmacogenetics and pharmacogenomics, but disease prevention is the ultimate treatment As with individual variation in response to pharmacologic agents or drugs, there is also variation among individuals in the risk of disease following an exposure Genetic susceptibility to disease is mechanistically closely coupled to pharmacogenetics and often involves the same sets of genes.

15.7 Summary

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usually serve the purpose of gathering data for the extraction of a correct and accurate nonlinear device model. A general remark can be made here: nonlinear measurements, as opposed to linear ones, cannot exploit the superposition principle. This implies that any representation in the form of an equivalent linear matrix is meaningless: no Th venin (or Norton) equivalent e representation as the impedance (or admittance) matrix is allowed. As a consequence, data measured in a 50 environment cannot be extrapolated to different loading conditions. Another consequence is that nonlinear measurements are dependent on the amplitude of voltages and currents. The amount of measurements and measurement data is consequently much higher than that in the linear case. The amount and complexity of the measuring hardware is also correspondingly greater than that in the linear case, making the total cost of both equipment and human resources quite high.

The major difference between the two areas is the characteristics of the exposure Drug exposures are well characterized and quanti ed, whereas exposures to pollutants are usually neither well characterized nor quanti ed Studies of disease susceptibility have been included under such rubrics as environmental genomics and toxicogenomics rather than being considered a component of pharmacogenomics Pharmacogenomics can also be described as the application of highthroughput technology to generate data on a global scale at the interface of genetics, disease, toxicology, and pharmacology An even more encompassing view would describe pharmacogenomics as an effort to (1) emulate the strategies of the HGP and (2) utilize the fruits of the HGP to reduce the incidence of disease and improve the practice of medicine, while reducing health care costs As with the HGP, pharmacogenomics is generally a new approach to research and speci cally data generation rather than new science.

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One client had software that would go through the code and determine the percentage of comments. If the code had less than 30 percent comments, it would go back to the coder. IT administrators are more reluctant to write comments than professional software developers. Documentation is of two types: in-code comments and a how-to document for the user. Both are important. Do not document unnecessary details that are obvious from the code statements, but explain the variables, input, and output parameters, and what each subroutine does and accepts as input. Also include a help option with your scripts. Document the overall purpose of each logic.

The questions and hypotheses of interest to pharmacology and toxicology have been with us for some time This chapter focuses on describing the products of the HGP that are available for application and utilization in pharmacologic and toxicological research It emphasizes the new tools that have been or are being added to our toolkit; other chapters emphasize the potential applications of the tools The examples of utilization of information.

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