Search for dissertations about: "multivariate analysis statistical experimental design"
Showing result 1 - 5 of 18 swedish dissertations containing the words multivariate analysis statistical experimental design.
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1. Multivariate methods in tablet formulation
Abstract : This thesis describes the application of multivariate methods in a novel approach to the formulation of tablets for direct compression. It begins with a brief historical review, followed by a basic introduction to key aspects of tablet formulation and multivariate data analysis. READ MORE
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2. Deciphering sequence data : A multivariate approach
Abstract : In this thesis, attention has been focused on the quantitative description of nucleic acids, proteins and peptides. The strategy was to use multivariate chemometrical methods for improving the understanding of the complex structural codes of these kinds of biological molecules. READ MORE
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3. Towards Anti-Virulence Antimicrobials, Discovery and Development of Sortase A Inhibitors and Investigations of Bacterial Phenotypes
Abstract : Antibiotic resistance is an emerging and serious threat to public health. Immediate actions are required to preserve current antibiotics while intensifying research efforts towards the development of new effective therapeutics. READ MORE
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4. Mapping the consequenses of physical exercise and nutrition on human health : A predictive metabolomics approach
Abstract : Human health is a complex and wide-ranging subject far beyond nutrition and physical exercise. Still, these factors have a huge impact on global health by their ability to prevent diseases and thus promote health. READ MORE
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5. Continuous monitoring of mineral processes with special focus on tumbling mills : a multivariate approach
Abstract : Increasing emphasis on productivity and quality control has provided an impetus to research on better methodologies for diagnosis, modelling, monitoring, control and optimisation of mineral process systems. One of the biggest challenges facing the research community is the processing of raw sensor data into meaningful information. READ MORE