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The starting point (input information) for all the methodologies presented is a single data set of variable complexity, and the results obtained represent the underlying sources of variation (components and factors) enclosed in the raw measurements analyzed.
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The methodologies presented are promising and could be used to infer significant information about the region to be studied.
Overall both methodologies presented are valuable tools that can be used in tandem for understanding the dynamics of infectious disease epidemics.
The methodology presented is robust and can be extended to larger dish diameters.
The detection methodology presented is robust to multiple release cases since it is based on determining simply whether a hazardous element is present in the atmosphere.
The methodology presented is shown to be an effective tool for capturing the interface phenomena and freezing interface growth using a single uniform finite element grid.
The methodology presented is generic and can be transferred to different systems with different chemistries, which may result in significantly different optimization results and loading patterns.
The methodology presented is next used for wind disturbance estimation and for design of an antenna controller with wind disturbance rejection properties.
An uncertainty budget is presented for both measuring technologies and results show that the RE methodology presented is promising when comparing uncertainty values against common industrial tolerances.
Second, the methodology presented is appropriate for single point decision making.
The methodology presented is a powerful hypothesis-generating exploratory tool, applicable to wide range of studies in veterinary research.
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