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In order to be able to visualize recommendations for protection zones and danger zones, according to Sturm's concept of space, the above elements are analyzed through a multidimensional analytical approach, which includes the involvement of natural space, institutions, society, economics, and culture (Sturm 2000).
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Until recently such visualizations were only utilized for large genomic datasets but will play an important role for interpreting multidimensional analytical chemistry related studies.
In this way, the present study clearly proves that this separation protocol can discriminate the molar mass heterogeneity of iPP homopolymers present in complex EP copolymer systems without using multidimensional analytical approaches such as high temperature two-dimensional liquid chromatography (HT-2D LC).
The book summarizes important applications in all major fractionation methods with emphasis on multidimensional analytical approaches.
His research is focused on the development of multidimensional analytical techniques for complex polymers, in particular efficient multi-dimensional coupling of separation methods and hyphenation of separation methods through complementary analytical methodology.
The impact of these studies will be maximized by the ongoing development of automated, multidimensional analytical programs and shared public databases accessible to the research community.
State-of-the-art polychromatic flow cytometry and novel multidimensional analytical approaches hold tremendous promise for our understanding of disease pathogenesis, the generation of disease biomarkers, patient stratification and personalized therapeutic approaches.
The possibility of obtaining a multidimensional information by relevant analytical methods is then of the greatest interest.
This information is stored under a unified schema to facilitate decision making and built in a way to satisfy a multidimensional structure [ 30], also called analytical model.
On-Line Analytical Processing (OLAP) is a multidimensional datawarehouse designed to facilitate querying of large numerical data.
On-Line Analytical Processing (OLAP) is a multidimensional datawarehouse environment that is designed to facilitate querying of large numerical data [ 9, 10].
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