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Showing 1 to 15 of 15 for “"PCA Analysis"”.
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The seaweed flora of the Palm Beach area, KwaZulu Natal, South Africa and its biogeographical affinities
… other sites along the South African coastline. A PCA analysis was used to interpret the data and the Palm Beach area aligned with the south coast sites. The Palm Beach flora is primarily confined to the warmer South coast. The flora composition of the area is distinct from that of a typical …
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Modelling portfolios of credit securities
… models with reliable assumptions. Meanwhile, a PCA analysis on CDO market spreads is performed on market data in CHAPTER 3. In CHAPTER 4, we develop an old school dynamic model for credit derivative valuation, it match the market needs, fit quoted spreads while providing time evolution using …
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Assessing the genetic diversity and structure of spotted hyena (Crocuta Crocuta) populations across Africa
… sequences were analysed using Heterozygosity, PCA analysis, Admixture proportions, Phylogenetic analysis and D-statistics. The results showed that the mean heterozygosity of spotted hyena was 0.00094 (RAD-seq) and 0.0011 (WGS) ranging from 0.0006 to 0.0013. Admixture proportions and …
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An immunoproteomic approach to identifying cancer-associated autoantibody biomarkers
… hierarchical clustering and principle component analysis (PCA) analysis. Combinatorial ROC analysis indicates that CEACAM1 and GRWD1 as the top autoantigen combination for CRC diagnosis, together producing sensitivity-, and specificity-, and AUC-values of 1.00, 0.77 and 0.94, respectively. …
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Assessing Patient Attitudes to ward Genetic Testing For Hereditary Hematologic Malignancy
… (HHM). Although the diagnostic yield of germline analysis for leukemia is similar to solid tumors, referral for genetic evaluation in adults with leukemia is underperformed. Identifying HHM is important for prognostication, treatment, and donor selection for hematopoietic stem cell transplant. No …
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Generation Z employees' construal of workplace leadership: an application of the repertory grid technique
… Z employees (N = 16). In addition to thematic analysis, Principal Component Analysis (PCA) is utilised to explore nuanced patterns in the data, going beyond qualitative insights. The PCA results illuminate a compelling trend: participants not only align their perceptions of an ideal leader with …
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Intersexuality and Endocrine Disruption in the Amphipod Echinogammarus marinus – From Genes to Physiology
… internal and external intersex males), and PCA analysis clearly differentiates the three groups into three separate patches. The de novo transcriptome sequencing was carried out on E. marinus gonadal tissue, by<br/>9<br/>employing Roche 454 pyrosequencing producing one of the largest cDNA …
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Coastal vulnerability assessment of Co. Dublin and Co. Wicklow to impacts of sea-level rise
… to impacts of sea-level rise through the analysis of various indicators to provide an index-based assessment. Future vulnerability to potential impacts was also investigated. A primary challenge in understanding coastal exposure to water-level change was quantifying the important …
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Australian athletes' perceptions of sport psychology services
… of sport psychology exposure) Multivariate Analysis of Variance (MANOVA) was conducted with the three SPAQ factors, confidence in sport psychology (11 items), stigma tolerance (6 items), and preference for similarity (8 items) as the dependent variables. Contrary to expectations male …
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Genome-wide diversity assessment for genetic resource management of Eucalyptus dunnii, E. grandis, E. nitens and E. urophylla
… 56.29% of the variation among all genotypes in a PCA analysis. Across our samleed loci we observed medium to high levels of genetic diversity in the four species (He ranges between 0.094 and 0.258) with heterogenous patterns of diversity throughout the genomes. In a subsequent six-way-pairwise …
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Operationalisation of FT-NIRS based real-time monitoring for optimisation of anaerobic digestion
… approach (input-output). Principal Component Analysis (PCA) models and Partial Least Squares regressions (PLS-R), using matched FT-NIRS and matched physicochemical parameters, were evaluated using root mean square error of cross-validation (RMSECV) and R2. Confidence Intervals (CI), using …
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Implementing process analytical technology (PAT) tools for the analysis and control of manufacturing processes during hot-melt extrusion
… A partial least squares calibration model and PCA plots were used to identify the optimum processing parameters. It was proved that drug loading has a significant effect on the final product while the PMOL dissolution rates were identified as a quality attribute for the development of sustained …
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The longitudinal effects of HIV and ART on the developing brain: a structural MRI study using manual segmentation
… were Z-score transformed and principle component analysis (PCA) performed. Results: Manual segmentation was reproducible across the different 3 T scanners within this pediatric sample allowing for volumetric data to be combined into one model without a scanner confounder. Across volumes, …
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Remote Sensing Characterization of Ecosystem Structure and Functional Types to Inform on Biodiversity Conservation in the Lowland Chocó Rainforest
… for all mapped forest types. Post-classification analysis demonstrated that inclusion of texture as an input feature significantly improved detection of forest regeneration stages with comparable results from full-polarimetry and dual-polarimetry imagery. This highlighted the utility of SAR for in …
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Investigation of the Pre to Post Peak Strength State and Behaviour of Confined Rock Masses Using Mine Induced Microseismicity
… temporal examination of the principal components analysis (PCA), to characterize the extent, trend and state of the yielding zone, which formed a macrofracture shear structure. Observations of conventional displacement instrumentation, indicates regional dilation or shear of the rock mass occurs …