I would just add a set implementation which calls define property and configures the value as whatever the new value is + writable + configurable etc… I don’t think we need to change the get impl. Basically if you ever set the value the current configuration should evaporate and you’re ...
Change environment variable for process? Is it possible to set environment variables for UNIX processes? This question arises from the fact that Esri's ARCSDE 9.1 has a “bug” with it that doesn’t allow you to enter different languages into the Oracle database. There’s an environment v...
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One example of the latter approach involves establishing whether the effect of a polygenic risk score is moderated by an environment variable.16–18 Such polygenic scores are usually based on a weighed linear combination of single-nucleotide polymorphisms (SNPs) which satisfy some significance level ...
The Nimrod gene family is one of the more variable in copy number among the sequenced Drosophila species [47], a trend that is continued in the more divergent comparison to M. domestica (17 Nim-containing proteins in M. domestica and 11 in D. melanogaster; only 8.7% of gene families ...
important covariate was defined (Fig.3). For that purpose, values lower than “μ − σ” (with μ being the arithmetic mean of the driving variable) were cut off, as were values higher than “μ + σ”. The standard-deviation-based core range (SDCR) was then set by ...
Such variables can be expressed by the perceived behavioural control that is determined by the total set of accessible control beliefs [15]. Habits, even though not a psycho-social variable, can be very strong in activating a travel behaviour. From a cognitive perspective, when a behaviour ...
Li et al. [12] performed new testing coverage modeling that considers not only the error generation but also the fault removal efficiency based on NHPP. Song et al. [13–15] considered operating environments. They applied random variable to the software reliability model, which represent the ...
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and LST is put into the RF regression model as a dependent variable for the fitting operation, where approximately two-thirds of the data are used to construct the RF regression model and the remaining third is used for accuracy validation. Among them, the selection of parameters is determined...