Robustness enhancing

Chen G, Y.P., Jiang Y et al. Valproate robustly enhances AP-1 mediated gene expression. Mol Brain Res 1999 64 52-58. 

P. Li, Z. Luo, P. Liu, N. Gao, Y. Zhang, H. Pan, L. Liu, C. Wang, L. Cai, Y. Ma, Bioreduc-ible alginate-poly (ethylenimine) nanogels as an antigen-delivery system robustly enhance vaccine-elicited humoral and cellular immune responses. Journal of Controlled Release 168 (2013) 271-279. 

A long-term initiative should be to reanalyze the failure rates of risk-important components that have no previous failures using state-of-the-art mechanistic techniques. Ideally, the techniques applied will be capable of addressing design robustness, enhanced inspection, and condition-monitoring of components. Although the risk profile may be different when more realistic data are used, the overall estimated core damage frequency and risk will most likely be smaller. Therefore, this issue does not require resolution before restart. 

Absorption of proteins and peptides, which has been reviewed (60), is generally low and somewhat erratic. The judicious use of absorption enhancers may be necessary and can be accomphshed in a very controUed manner in this area. The mouth is routinely exposed to a wide variety of agents of different pH and osmolarity and appears to be more robust than many other epitheha. Exposure to a wide range of pH values produced damage only at the extremes of... 

The outer walls of a building should be commensurate with the security risk. The use of robust construction and materials (e.g. those resistant to manual attack and damage) is essential to the initial provision of security. Criminals will exploit weaknesses in walls. Where lightweight claddings are employed, a reinforcing lining such as welded steel mesh can enhance security. Where the security risk is high it may be necessary to reinforce even brick or cinder block walls in a similar... 

For models described by a set of ordinary differential equations there are a few modifications we may consider implementing that enhance the performance (robustness) of the Gauss-Newton method. The issues that one needs to address more carefully are (i) numerical instability during the integration of the state and sensitivity equations, (ii) ways to enlarge the region of convergence. 

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