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Different modeling conditions (coverage, relaxation after deposition) and convolution with different tip shapes are used to obtain a wide spectrum of virtual AFM nanoparticle images similar to those known from practice.
However, these guidelines are not absolute; rather, they depend on various modeling conditions.
This model development procedure was repeated for different modeling conditions, e.g. the number of nodes, and all virtual datasets.
With different modeling conditions, three loci on chromosomes 7p14.1-p13, 12p11.22-q13.11, and 7q32.3-q34, showed LOD scores that approach or exceed 3.
Capabilities include rapid modification of modeling conditions to allow for immediate scenario analysis and evaluation of 'what-if' scenarios.
However, the diversity of the modeling conditions makes it difficult to achieve proper conclusions which link all contributing parameters to atrium thermal conditions.
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Model conditions were assessed through analysis of marginal and conditional residuals.
Under the less severe model conditions, one species was lost and 60 percent of ESUs disappeared.
The study, published in Geophysical Research Letters, used satellite data and computer software that models conditions like wind patterns to determine how dust that coated Alpine snow in the winter of 1990 got there.
Initial experiments were conducted to optimize model conditions.
The main simulation parameters and other model conditions are listed in the Table 1.
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