Run macro

Although detector balancing takes only a few seconds on typical instruments, the need to do so should be assessed. The time and numbers of samples lost over time to balance a detector may be considerable. Perhaps only a detector balance between sample plates will do. This can be accomplished by so-called pre-run macros or scripts that can be executed between individual sample lists by many acquisition software packages. 

Spectra are obtained in the m/z range of 65-1500. With direct injection, each analysis takes 1-2 min and gives only one peak in the chromatographic direction. One average spectrum is obtained from each individual analysis, calculated from approximately 10 individual spectra obtained at half peak height, after background subtraction. The process of background subtraction and acquisition of spectra is performed by a post-run macro to ensure identical data collection between different injections. 

The GEMM software on the ST-100 is not a stand-alone package, and it requires a front-end simulation software package that runs on the host to provide data and to send command requests. It was designed and written with CHARMM (Chemistry at HARvard Macro-molecular Mechanics) (14) as the primary front-end, but additional software packages, such as AMBER (15), have subsequently been modified to drive GEMM. 

Perhaps this is valid SAS code, but there is no code documentation to tell the user what any of those macro variables or macro calls actually do. Upon further investigation, we may find that the %MAKECOD macro calls six other SAS macros in a nested fashion. Also, is a %RUN really necessary, or has the programmer developed one too many macros ... 

The examples in this book focus primarily on the tools within SAS/GRAPH, SAS/STAT, and Base SAS, including the SAS macro language and PROC SQL. The examples were developed using SAS 9.1.3, but the vast majority of the examples will run with other versions of SAS as well. Please note that the data that drive the examples in this book are obtained through INPUT statements with DATALINES data. This is done only for illustrative purposes and does not mean that you should expect to obtain your clinical data in this fashion. 

This sequence was then repeated with a different titer composition as many times as necessary to cover the required range of amphiphile/water compositions. An MS-DOS desk-top computer with 640K of random-access memory (RAM) was used to control the calorimeter and to collect thermistor voltages at the fixed time intervals. Spread-sheet macros running on this same computer were used to make various plots, including thermistor voltage y . time and corrected heat ys time. 

As we have mentioned, our definitions entail parameter passing by a kind of run-time macro-substitution. We now define a very useful equivalence preserving transformation on recursion augmented schemes, macroexpansion, which can be considered a kind of ccmpile-time macro-substitution. 

Van Vliet et al. (2005) tracked 1x10 computational nodes to obtain a stochastic solution of their FDF equations. In order to deal with the high computational costs, the code was run in parallel on a Linux cluster of 11 dual AMD Athlon (TM) MP 1800 +processors. In this way, about one turbulent macro time scale (or 8,000 computational steps) per 2 days was computed. 

Photopolymerization using polysilanes can also be carried out to yield block copolymers containing runs of silicon atoms, for instance polysilane-methyl methacrylate. The resulting copolymer can then be used as a macro-photoinitiator for further free-radical polymerizations.144145... 

The scale of the sample micro-calorimetry (mg), macro-calorimetry (g), preparative or bench scale (hg-kg). This classification is essentially useful when the amount of available reactants is limited, or when dangerous reactions have to be studied. In such a case, using only small amounts allows one to run the experiments safely. Of course, larger scales perform more realistic experiments in the sense that they mimic the manufacturing process. 

An effective but simple way of graphically illustrating the variability associated with the analytical data is to plot x—y plots of the duplicate and replicate pairs. Most statistical packages will have an option for plotting simple x—y plots. The G-BASE project uses MS Excel running a macro that will automatically plot duplicate-replicate and duplicate-duplicate results. Figure 5.8 shows three examples from the G-BASE East Midlands atlas area duplicate-replicate data for soils. This method gives an immediate visual appreciation of any errors present in an analytical batch and an indication of within site variability, as shown by the duplicate pairs, or the within sample variability, as indicated by the replicate pairs that demonstrate... 

Reactions such as the above have been used for the large-scale commercial production of WC by Kenna-metal, Inc. in a process called the Macro Process [28]. Thermodynamics for the analogous molybdenum reaction show that the reaction is highly exothermic (Table 3). The solid reactants are metered into a carbon-lined kiln to develop a self-sustained exothermic reaction. The reaction occurs in a pool of molten metal at temperatures above 2800 K. At the end of the run the kiln contents solidify into a lower heavy layer of carbide crystals and an upper slag layer of oxides. 

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