To improve expression and stability, several methodologies have been adopted, including methods based on media formulation, selective pressure and cell- or vector engineering.
While a myriad of models and schemas depicting interactions among system elements exist (see Table 1), several methodologies have been and continue to be developed to assist in the design and evaluation of STS performance and safety.
To address these issues, several methodologies have been developed and, as expected, new phenomena and new questions have arisen [3].
In recent years, several methodologies have been published and claimed to be suitable for large population screening [ 22, 30, 45- 50], although all have presented some technical and non-technical problems, including the amount of DNA template required, degradation due to the use of bisulfite, inclusion of females, and failure to detect unmethylated expanded alleles.
Several methodologies have been adopted to improve expression and stability, including methods based on selective pressure or cell engineering.
Several methodologies have helped to study early detection and examine early development in ASD.
In order to take full advantage of the potential of BN in uncertainty processing, several methodologies have been combined to promote more objective and quantitative modeling in risk assessment.
Several methodologies have been reported for synthesis of blue, green, yellow, and red Gdots from graphene or carbon fiber [ 141– 141].
Several methodologies have been applied to VOCs inhalation studies [28, 29] and are related to the analysis of physiologically-based pharmacokinetic (PBPK) models.
Several methodologies have been developed to expedite the OER process.
