Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 32 for “"multivariate data analysis"”.
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Metabolic profiling of cyanobacterial extracts using multivariate data analysis for their anti-obesity properties
… Aims. The aim of this study was to perform multivariate data analysis (MVDA) on 117 cyanobacterial extracts to identify potential biomarkers with anti-obesity properties. Methods. Obtained data from UPLC-QTOF-MS was preprocessed by MarkerLynx software to optimize the data evaluation. MVDA …
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Chemometrics applied to food industry: improving quality, safety and sustainability using multivariate data analysis
L'abstract è presente nell'allegato / the abstract is in the attachment
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Multivariate data analysis in Multicolour Flow Cytometry for a deep profiling of the immune system
Contains fulltext : 207491.pdf (Publisher’s version ) (Open Access)
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Racist perceptions on a college campus: Intersectionality of gender, race, and Greek affiliation
… States. To answer this question, we used survey data collected in 2013 from undergraduate students enrolled in a large Southern, including in our sample 1,003 Greek affiliated students and 2,176 non-Greek affiliated students. Using multivariate data analysis, our results showed that White and …
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Parking Availability Forecasting Model
… Forecasting Model, which uses a time series analysis and machine-learning algorithms to predict the number of available parking spots at a certain location on a desired date and time. The forecasting model is trained on historical parking data from the cities of Kansas City, US and Melbourne, …
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Modern landfill leachates – quality and treatment
… system shifting away from landfilling. Multivariate data analysis using principal component analysis and canonical correlation analysis was employed to identify processes governing leachate quality and relations between leachate parameters. As heavy metals are expected to be relatively …
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NMR, Metabonomics and Molecular Profiles: Applications to the Quality Assessment of Foodstuffs
… allows performing qualitative and quantitative analysis of samples in solution, in order to determine the structure of molecules in solution and not only. In the past, high-field NMR spectroscopy has mainly concerned with the elucidation of chemical structure in solution, but today is emerging …
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Building bioinformatics solutions for biomarker identification
… The aim of the work was to develop a flexible data storage and analysis platform that would be capable of housing and working with data from a variety of modern biomarker analysis techniques. In order to achieve this aim, several tools were developed: a flexible database schema, taking ideas …
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Digital business strategy : critical business model components for digital business success
… the digital business strategy. Comparative and multivariate data analysis was conducted on 97 employees who operated on a strategic level within organisations, where a digital business strategy was present and/or where the organisation offered digital products and/or services to the market. As …
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Investigating relationships between women's moods and their menstrual cycles - a multimethod study
… convenience sampling. Each participant provided data for two full menstrual cycles by taking part in a pre and post-study in-depth interview; answering a structured daily self-report diary utilising a Likert scale and completing three established research instruments – the Brunel Scale of Moods, …
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Feedback by the soil microbial community on the distribution of two weeds
… by automated ribosomal intergenic spacer analysis (ARISA). I evaluated the relative effects of three forces shaping microbial communities: 1) the source community, which was the initial microbial community present in the local soil of each state; 2) the influence of the training plant …
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Metabolomic profiling to investigate effect of curcumin in lung cancer
… software. The processed, digitized NMR spectral data was analyzed using multivariate data analysis software, SIMCA P+. Principal Component Analysis (PCA) score plots showed clear significant (p < 0.05) separation between the cancer and control groups. The metabolites responsible for the …
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A study of cluster analysis techniques and their applications
… and efficient clustering technique for multivariate data analysis. The technique starts from a multivariate data matrix and ends with graphical representation of the data and pattern recognition discriminant function. The technique also results in distances frequency distribution that …
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Comprehensive evaluation of cow dung digestate composition for potential soil fertilization: Advanced analytical techniques
… and UV-VIS spectroscopy for organic matter analysis. Advanced techniques, including FT-IR, ICP-OES, GC-MS, and UHPLC-QTOF-MS, characterized functional groups, elemental composition, volatile organic compounds, and metabolomic profiles. Multivariate data analysis provided a comprehensive …
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Urinary Volatile Organic Compounds for Detection of Breast Cancer and Monitoring Chemical and Mechanical Cancer Treatments in Mice
… greater understanding of cancer pathogenesis. Analysis of cellular energetics affected by cancer using bio-fluids can non-invasively help in prognosis and selection of treatment regimens. The hypothesis is altered profiles of urinary volatile metabolites is directly related to disrupted …
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Malawi Farm Input Subsidy Programme - impact on income of smallholder farmers
… Integrated Household Survey Phase 3 (IHS3) dataset, a logistic regression in a multivariate data analysis approach was used to investigate the impact of FISP on income levels and food security of rural smallholder farmers in Malawi. The analysis showed that about 82 percent of smallholder …
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Investigation of Emission Characteristics during Low Temperature Combustion using Multivariate Adaptive Regression Splines
… starting point of this study is a collection of data correlating injection system parameters, and fuel characteristics, to response parameters such as engine-out emissions (oxides of nitrogen (NOx), total particulate matter (TPM), carbon monoxide (CO), hydrocarbons (HC)) and brake thermal …
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Metabolomic investigation of food matrices by 1H NMR spectroscopy
… of the potential perspective of the combined NMR/multivariate methods approach in food science, showing the great versatility of NMR spectroscopy and the strong synergetic relation between NMR and chemometrics. NMR revealed its extraordinary potential, when applied to natural samples and products, …
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Sustainability consideration in machining of 2½d milled features
… have been investigated using graphical multivariate data analysis techniques. A direct search method was used to conduct the optimisation procedure. This study showed that energy consumption decreases monotonically as process parameters (depth of cut, width of cut, spindle speed and feed …
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Elemental and Molecular and Profiling of Illicit Tobacco
… Fourier Transform Infrared Spectroscopy aided by multivariate data analysis. Through analysis of spectra collected using X-ray Fluorescence, we were able to determine elemental differences between dried leaf and treated tobacco using fluctuations in elements such as Potassium, Calcium and Iron. …
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