Function result data type

Table 1. CACNA1A (Ca 2.1, a 1A) Functional results for mutations associated with FHM = familial hemiplegic migraine, EA2 = episodic ataxia type 2, SCA6 = spinocerebellar ataxia type 6, PCA = progressive cerebellar ataxia (although addition mutations have been associated with these disorders, only those with reported functional data are listed)...

In order to empirically remove the effects of age, as determined by the nickel concentration, from the vanadium distribution, a regression of the data was performed to determine a best fit functional form relating vanadium with nickel. With the forced use of a zero intercept, for this case (and several others, not shown) best results were obtained for functions of the type ... 

In addition, the likelihood that depression represents a complex of disease states with varying involvement of the immune system supports the idea that there is a subgroup of depressed patients who have associated alterations in immune function. Indeed, data suggest that different types of depression display distinct, and even opposite, changes in neuroimmune functions (Antonijevic, 2006). As a result of multiple issues, there are contradictory, or at least inconsistent, findings in the literature. This is characteristic of most types of studies of depression, again probably because depression represents multiple disease states. 

This is definitely an incomplete list of potentially interesting search queries but shows that even a generic documentation system like an ELN requires at least interfacing capabilities to provide this search functionality to a scientist. Any of these searches may be combined with either chemical or nonchemical searches. Spectra, chromatograms, structures, and reactions appear in the hit list for a combined search, the result shown in the hit list might be a combination of text with one of these data types. 

One type of SQL function is simply a collection of SQL statements. The input data type must be defined along with the data type of the result of... 

A comparison of results from different relativistic density functional calculations gives some information on whether quasirelativistic treatments are good enough to describe the system under consideration. To assess the accuracy of the density functional results on the other hand requires comparison with experimental of high-level ab initio data. Only results from coupled cluster or Cl-type ab initio calculations are reported here. Although these methods are among the most accurate quantum chemical approaches, there is some variance in the quality of the results reported in the literature. This becomes evident by the substantial scatter sometimes shown by the ab initio results. Within this chapter, the quality of the ab initio results cannot be discussed extensively. We will just point out two possible sources of error ... 

Comments on failure modes 1 and 3 hardware ok. The correct behavior of the acquisition function is to access the input board and to return correct data with a validity bit set to true . These failure modes state that the acquisition function acquires data from a non-faulty input board but because of software faults, provides erroneous output to the application software, resulting in situations 1 and 3. In situation 1 the validity bit is erroneously set to false the application software assures the safe behavior of the imit In situation 3, the validity bit is correct but the data is erroneous. This situation is critical because the application software may behave in an unsafe way and is a SCCF because it may impact any units using this type of board, while in normal operation. 

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