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The proposed methodology which utilizes a concurrent procedure by combining the shape and material composition optimization of these structures employs an extended form of the standard IGA method by allowing for gradation of material properties through patches.
Its development has been motivated by the desire to improve the accuracy of the latter method by allowing the resolution to vary in time and space by orders of magnitude and by providing the means to avoid particle penetration.
However, the LD method often out performed the temporal method by allowing earlier detection of less severe population declines (N e approximately 200).
The latter version of OperonDB (Pertea et al. 2009) improves the sensibility of the method by allowing rearrangement events inside the candidate cluster regions.
The one-sample LD method generally outperformed the two-sample temporal method by allowing earlier detection of less severe population declines (N2 > 100) when using sample sizes of loci and individuals typical of studies today.
Our experiments also confirm that the efficiency of our method, by allowing us to analyze datasets with larger sampling sizes, contributes to the robustness and stability of the discovered causal relationships.
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Now, a team of engineers from Princeton, the University of California-Los Angeles and IBM has developed a new nanolithography technique that promises greater flexibility than other methods by allowing engineers to create, analyze and erase nanoscale structures from a variety of materials.
Fuzzy clustering provides more flexibility than non-fuzzy methods by allowing each data record to belong to more than one cluster to some degree.
We further examine the enrichment of the optimization methods by allowing human interaction with the program within the framework of IEC.
The main contribution of the paper is to improve upon current methods by allowing object segmentation in changing environments and moving backgrounds.
Here we present a quantitative PCR (qPCR) assay for the analysis of higher taxa composition in natural communities that advances previously available methods by allowing quantification of several taxa during the same qPCR run.
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