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Open image in new window Fig. 10 Comparison of models considering various time-steps for a RC subjected to salt spray in Nice, France.
Open image in new window Fig. 8 Comparison of models considering various time-steps for a RC structure subjected to de-icing salt in Strasbourg, France.
Open image in new window Fig. 6 Comparison of models considering various time-steps for a RC structure in a tidal zone (Brest, France).
BiForce users are recommended to firstly evaluate the epistasis results in the original GWAS population by re-testing the statistical significant epistatic signals jointly in models considering various covariates and potential population stratification if necessary and then identify independent and important epistatic SNP pairs for statistical replication and further analyses.
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The model is formulated based on the cohesive zone model considering various shapes of the cohesive law.
Researchers have extended this model considering various assumptions.
Figure 17 Average spectrum handoff delay for the SUs versus the velocity of SUs. Figure 18 Average spectrum handoff delay under different arrival rates of PUs. Figure 19 compares the handoff blocking probability in analytical model considering various arrival rates of the PUs in the network.
The model considers various significant factors: energy production cost, electrical trade with local grid, electrical power generation from the wind/hydrogen energy system, thermal recovery from the fuel cell, and maintenance.
The model considers various geologic settings, includes sorption and degradation processes and is tested by comparison with data from a tracer experiment where fluorescein dye injected in a river is monitored at nearby drinking water wells.
Our model considers various factors such as different shapes (with varying cluster-members) of clusters, signaling overhead, and MAC inefficiency.
The predictive performance of the two models is compared to a common genomic BLUP as a reference method in a whole-genome simulation study considering various gene-action models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com