Many existing research methods have been proposed including scene-based methods which consider user preferences and the causal relationships of the role of communities.
Moreover, to our knowledge, there are few methods which consider not only the exact solutions but also the numerical solutions for given NLPDEs.
Rigorous trend detection analysis has been exercised using variety of non-parametric methods which consider the effect of serial correlation during analysis.
The experimental results indicate that the proposed method considers the effect of comprehensive resource tightness on a project buffer, thus overcoming the deficiencies of traditional methods which consider only physical resource tightness and ignore information resource tightness.
Furthermore, because it considers both the magnitude drop and the phase shift of the commutating voltage, the assessment results are more accurate than those obtained with the commonly used methods, which consider only the influence of voltage magnitude drop.
Unlike most of the existing methods which consider only domain pairs (one domain from one protein) and assume that domain-domain interactions are independent of each other, the proposed methods are capable of exploring all possible interactions between domains and make predictions based on all the domains.
Our assessment represents a departure from conventional technology assessment methods, which consider features inherent to the technology itself.
The application of fractional factorial designs and statistical methods, which consider the need for replicating experiments and resources, may reduce experimental efforts [ 40, 73, 74].
SNP-PRAGE has the fastest computing time among the methods which consider LD between SNPs, Specifically, our simulation results show that GSEA and GLOSSI methods take 18.5 and 22.1 times, respectively, of computational efforts than SNP-PRAGE.
Staining was evaluated according to a previously reported quality control system [ 37], which is more stringent in defining total and partial expression loss than other evaluation methods, which consider ≤25% positive cells as total loss.
