Computational models were developed to capture the experimental details and further study the mechanism of blast wave-sandwich panel interactions.
Our computational models, calibrated by experimental measurements, could be used as a virtual tool for assessing the mechanism of blast-panel interactions, and predicting the structural response of composite panels subjected to blast loading.
The developed model accounts for panel interactions with both the external sound field and the enclosed sound field, and this feature makes it appealing for model-based active noise control schemes.
Results also provided insight concerning dynamical processes that require further study, including fluid net panel interaction, transfer function amplitude dependence and the nonlinear relationship between steady current and wave fluid velocity on drag and its effect on system geometry and therefore response.
In the absence of Fyn, the inactivation of the C-terminal Vav1 SH3 domain markedly reduced the M2/Vav1 interaction (Fig. 4C, upper panel, interaction observed only after longer exposure times, data not shown), confirming our previous observations [22].
These filters can be further combined with the selection of PPIs reported in either high- or low throughput studies using the LPR criterion ('Lowest PubMed Re-use' panel), and interactions detected by specific methods e.g. tandem affinity purification, affinity chromatography, etc. ('Detection Type' panel).
The large panel of interactions (touching, shaking, voice dictation, positioning …) and the diversification of interaction devices can be seen as a factor of flexibility albeit introducing incidental complexity.
Right panel, positive interactions between OsWRKY80 and target DNA fragments were verified in SD-Leu-Trp-His agar medium with 30 mM 3-amino-1, 2, 4-triazole (3-AT) for suppression of background growth.
In web core panels, the interaction between the webs and core material can have a substantial impact on web shear buckling strength and is a key element of lightweight structural design.
We have also assessed the characteristics of CIMP-high tumors determined by a validated marker panel, and interactions of various clinical and tumoral factors by multivariate logistic regression analysis.
