The Steiner formula (2.2) gives rise to an important derivation operator Λ : V al → V al defined by (K ) = d d t | t = 0 φ (K + t B n ).
In the remaining part of this section we recall the notion of smooth valuations as well as the definition of an important derivation operator on the space V al needed in the next section.
For example, in statistics, a broad awareness of many different methods of estimation and sampling is more important than derivations of methods and proofs of maximum likelihood estimation.
On a technical level, this set is also important for derivation of changes that occur in comparing fNSCs to every BTSC (see below and Figure 3).
Development of reliable and accurate methodologies for determination of xenobiotic hepatic biotransformation rate and capacity parameters is important to the derivation of precise physiologically-based toxicokinetic (PB-TK) models.
The following assumptions are important for the derivation of the model: 1.
Eq. (57) is very important for the derivation of ( {f}_{gamma_2}(x) ).
Therefore, the selection of appropriate donor cell types will likely be important for the derivation of clinical-grade human iPSCs.
Clearly, these differential protective mechanisms are important for the derivation of better preventions and treatments for stroke.
From a practical perspective, replication is perhaps as important as the derivation of inferential statistics (if not more so, unless one is particularly concerned with effect size or its equivalent), and it is with this in mind that the results of Study 2 are turned to next.
