SMART program

At the heart of Som-A is an elementary but smart programming language for the specification of additive instruments and scores both are saved to a single file denominated... 

SMART programs. All non-hydrogen atoms were refined on anisotropicaUy by full-matrix least squares method. Hydrogen atoms were observed and refined with a fixed isotropic displacement parameter. Full-matrix least-squares refinement gave final values of R = 0.039 and Rw = 0.109. The max and min difference between peaks and holes was 330 and -280 e nm, respectively. 

Intelligent structures are smart structures that have the added capability of learning and adapting rather than simply responding in a programmed manner, and this is usually accomplished by inclusion of Artificial Neural Network (ANN) into the stmcture (Figure 10.2). 

X-ray single crystal analysis Data collection. Siemens SMART IK CCD. Diffractometer. Data collection by SMART (Siemens, 1995) cell refinement SMART data reduction SAINT (Siemens, 1995) program(s) used to solve structure SHELXS97 (Sheldrick, 1997) program(s) used to refine structure SHELXL97 (Sheldrick, 1997) molecular graphics XP in SHELXTL (Sheldrick,... 

CPC Foundation interview with Tom Chiller, epidemiologist and medical director of CPC s Get Smart an Itie F arm program... 

SMART (Solvent Measurement, Assessment, and Revamping Tool) is a software program that allows assessment of solvents used for batch processing based on both empirical data and property estimation methods (Modi et al., 1996). This system includes a new conjugation based method for the estimation of reaction rates in solution, which is based on the concept that the absolute reaction rate coefficient can be obtained from a function dependent on the change in molecular charge distribution between reactants and activated complex (Sherman et al., 1998). Table 9.2 provides a list of solvent substitution resources available on the World Wide Web. 

The operational qualification for standard instruments, microcontrollers, and smart instrumentation consists of a black box test. This type of test is based on the user s firm application requirement and challenges a program s external influences. It views the software as a black box concerned with program inputs and its corresponding outputs. The black box testing must consider not only the expected (normal) inputs, but also unexpected inputs. Black box testing is discussed in Chapter 9. 

When purchasing system software, standard instruments, microcontrollers, smart instruments, and standard software packages, it is the practice of organizations to initially rely on the history of the supplier and the industry operating experience as assurance of the supplier capability of program performance suitability. 

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