This chapter covers many numerical examples, like fatigue reliability based on simple S N approach and fatigue reliability of large aluminum catamaran.
For decades, the business of addressing homelessness was based on simple, old-fashioned approaches to charity that tugged on our heart strings, softened our compassion or pierced our jadedness through guilt-ridden photos of hungry children.
For those reasons, HRM scores are likely to provide a more comprehensive measure of diversity than traditional, sequenced-based approaches based on simple algorithms (e.g., the frequency of nucleotide differences in a sequence set).
In order to reduce the high false positive rates associated with inferring regulatory interactions based on simple motif mapping, two approaches were used.
This implies that optimal levels of fragmentations (e.g., in the context of reserve design) may be either under- or over-estimated when based on simple demographic or genetic approaches.
These findings underline the shortcomings of approaches based on simple motifs for prediction of peptide binding affinities, and provide a rationale for the use of more sophisticated and insightful alternative approaches such as the QSAR-based method employed in this study.
This method improved gene silencing efficiency over the conventional approaches based on simple mixing of siRNA-aptamer chimeras with cationic nanoparticles.
We chose the differentiation pathway towards erythroid cells for further investigation because (i) the pathway is well characterized at the experimental level; (ii) it has been the subject of modelling approaches based on simple two-gene interactions (Chickarmane et al., 2009; Roeder and Glauche, 2006); and (iii) it connects two stable states in our modelling based on our 11 gene network.
The effect of the diffusion control was described by an approach based on simple equations proposed by Chern and Poehlein.
Siuly et al. [25] introduced a computerised approach based on simple random sampling (SRS) techniques and least square support vector machine (LS-SVM) to classify epileptic EEG signals.
