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The predicted quadratic model showed significant behaviour at a 95%% confidence level (P < 0.05).
Development of a polynomial model showed significant results for optimizing biosorption conditions for the RO 13 dye.
When benign prostate hyperplasia was chosen as controls, both TT versus CC and recessive model showed significant difference.
We applied two-stage ETAS models to seismic activity data for the subregions where the stationary ETAS model showed significant misfits.
Linear regression model showed significant association of water activity, pH and moisture content of animal feeds with DON contamination of the animal feeds (Table 5).
Linear regression model showed significant association of abiotic factors; pH, water activity and moisture content of animal feed with AFB1 and DON contamination of the animal feeds.
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The resistivity model shows significant contrasts (~ 1 10,000 Ω-m) from west to east, indicating a rather heterogeneous subsurface structure.
The results of the model show significant COPh and COPL improvement with respect to existing traditional CHP systems.
Experimental results using this model show significant promise in reflecting the performance of guide-wires and catheters measuring the stress exerted upon relevant anatomical structures.
The model shows significant associations between travel time to the facility and education, age, site and type of facility (p<0.05).
Similar to the U251 model, this model shows significant gene expression profile differences between differing in vivo growth conditions (e.g. subcutaneous and intracranial) (Camphausen et al., 2005).
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