Understanding how energy flows through ecosystems reveals underlying ecological patterns that can drive processes such as growth and survival of organisms. To understand how energy is transferred through organisms, the energy content or energy density (ED) of both consumers and prey must be determined. To facilitate the ease of ED measurement across taxa, I developed a model to estimate the ED of organisms using percent ash-free dry weight (AFDW). Using data obtained from 11 studies with broad taxonomic, temporal and spatial coverage, I compared common predictors of ED using linear models. AFDW was determined to be the superior predictor of ED relative to previous metrics and was predictive for a broad range of taxonomic groups including aquatic invertebrates, aquatic vertebrates, aquatic plants and terrestrial invertebrates. This AFDW model enables measurement of ED with minimal cost and time investment, which allows ED to be more readily determined for diverse taxa. Next, I applied the AFDW method to the diet of a pelagic consumer, juvenile Chinook Salmon, to determine the effect of variable prey ED on growth. In 2017, I collected monthly zooplankton and fish samples of known importance in the diet of juvenile Chinook Salmon to look for fine-scale taxonomic, temporal and spatial differences in ED. Decapod zoeae and megalopae differed significantly from each other and showed family level variability in ED. Amphipods also showed significant species-level variability in ED. Temporal differences were observed, but did not reveal a consistent pattern among groups. Spatial variability was not significant. Using bioenergetics models, growth of juvenile Chinook Salmon was predicted to be greater when using fine-scale ED estimates. This difference was not substantial on average, but in some cases represented more than a two-fold difference in growth between coarse- and fine-scale estimates. These results suggest the need for higher resolution diet ED data when determining growth projections for juvenile Chinook Salmon. With the aid of the AFDW model presented in this thesis, the effort required to obtain these data is greatly reduced. / Graduate / 2020-03-25

No description available.

Reduced high-density lipoprotein cholesterol (HDL-C) concentrations are a major risk factor for cardiovascular disease. Intense interest recently has been in identifying the genetic factors that contribute to an aberrant HDL-C phenotype. Finding genetic factors associated with low HDL-C concentrations in New Zealanders was the major aim of this study, with a similar analysis aimed at finding factors associated with high HDL-C concentrations included. The study began with an investigation of a New Zealand family with HDL-C deficiency. The proband had virtually no HDL-C, and was homozygous for an R1068H mutation in the ABCA1 gene. Nineteen relatives were recruited into the study, and an analysis aimed at finding the underlying cause for the disparate HDL-C phenotypes amongst H1068 carriers initiated. A further investigation into HDL-C levels aimed to find other genetic factors that contribute to HDL-C in New Zealanders. Subjects were selected from those taking part in the Otago Vascular Disease study, and placed into three groups based on their HDL-C lipid measurement: low (n=154), mid (n=105), and high (n=102) HDL-C. Mutations in ABCAI and the apolipoprotein AI gene (APOAI) were identified in subjects with low HDL-C. Polymorphisms in ABCA1 and APOAI were also investigated as contributors to HDL-C concentrations. Seventeen SNPs in functionally relevant regions were genotyped in the three HDL-C groups. Five single polymorphisms and one polymorphism haplotype showed a statistically significant association with HDL-C concentrations. The final analysis investigated plasma lipoprotein compositions in individuals with low HDL-C to identify if other lipoprotein abnormalities concurred. Individuals with HDL-C below 0.65 mmol/L were almost invariably associated with triglyceride-rich VLDL and/or triglyceride-rich LDL. This finding may have relevance for an increased atherosclerotic risk for those with low HDL-C.

Typescript (photocopy) / xx, 251 leaves, [6] leaves of plates : ill. (part col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.)--University of Adelaide, Dept. of Soil Science, 1982

"September 2004" / Bibliography: leaves 236-262. / xxxi, 262 leaves : ill., plates (col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.)--University of Adelaide, Dept. of Medicine, 2004

No description available.

The thesis aims at showing some important methods, theories and applications about non-parametric density estimation via regularization in univariate setting. It gives a brief introduction to non-parametric density estimation, and discuss several well-known methods, for example, histogram and kernel methods. Regularized methods with penalization and shape constraints are the focus of the thesis. Maximum entropy density estimation is introduced and the relationship between taut string and maximum entropy density estimation is explored. Furthermore, the dual and primal theories are discussed and some theoretical proofs corresponding to quasi-concave density estimation are presented. Different the numerical methods of non-parametric density estimation with regularization are classified and compared. Finally, a real data experiment will also be discussed in the last part of the thesis. / Statistics

Ultracentrifugation and imaging techniques of human blood serum are precise and information-rich methods for obtaining information about an individual’s lipoprotein particle content. The information derived from lipoprotein separations via an ultracentrifuge plays a key role in the area of preventative medicine in regards to atherosclerosis. Two of the most critical lipoprotein characteristics, diameter and density, are well preserved with the proper isopycnic gradient. Currently, lipoprotein particles are stained, ultracentrifuged, and profiled through image analysis. This particular technique is helpful in determining particle density and can be correlated loosely with particle concentration. The need to completely quantify lipoprotein concentrations is imperative in assessing risk factors accurately. Light scattering techniques, primarily Rayleigh scattering, are applied to density separated serum samples in resulting in improved qualitative data with progress in quantitative measurements through imaging alone. The Rayleigh theory dictates that a particle’s scattered intensity is based upon the incident intensity, the particle’s diameter, and the particle’s concentration when strict criteria are met within the sample and imaging apparatus. Applying this innovative imaging technique of Rayleigh scattering to ultracentrifuge tubes containing separated lipoproteins, particle concentrations at differing diameters can be calculated. This thesis primarily goes through the time consuming task of optimizing the innovative Rayleigh scattering system so that correct quantitative estimations can be performed. Constrained by Rayleigh theory and system limitations, lipoproteins of 15 nm to 35 nm are focused upon. By doing so, previously disguised data in regards to lipoprotein subclasses is exposed. Lipoprotein diameters are estimated from Rayleigh imaged serum profiles and the estimations are confirmed through secondary size analysis achieved by dynamic light scattering instrumentation. In addition to Rayleigh optimization, a strategy for quantifying the ultracentrifuged lipoprotein particles using the recently applied scattering technique is explained in detail providing a foundation for further research. In regards to all feasibility studies presented within this thesis, much success was achieved in furthering quantitation efforts in lipoprotein density profiling.

According to current cosmological theory, the rate of expansion of the universe depends on the average energy densities of matter, radiation, and a possible vacuum energy described by a cosmological constant, &Lambda;, in the Einstein equation.<p>Observations of galaxies and radiation, along with an assumption that we hold no special place in the universe, imply an isotropic and homogeneous energy distribution, for which the universal rate of expansion for most of the history of the universe may be constructed to depend only on present values of the dimensionless matter and vacuum energy density parameters, &Omega;_M and &Omega;_&Lambda;, respectively, and the present rate of expansion of the universe, H₀. Over the past decade, much progress has been made in determining the values of the three density parameters using a variety of independent methods. In particular, observations of type Ia supernovae in the late 1990s provided the first evidence that &Lambda; &ne; 0 and that universal expansion is accelerating.<p>This study has determined values for &Omega;_M and &Omega;_&Lambda; using the brightest quasars in the Sloan Digital Sky Survey Data Release 5, which are located at a range of distances - equivalently, a range of lookback times - that have not been accessible through any other observations. After fitting the apparent magnitudes of the brightest quasars at various redshifts to the distance modulus equation with a luminosity evolution term, values for the density parameters were determined to be &Omega;_M = 0.07 and &Omega;_&Lambda; = 1.13.

Civilization’s vantage point has shifted with advances in technology from an eye-level view of the horizon to a bird’s eye view from a plane, to a planet-wide view from space. This relatively new global view is now the cultural perspective and embraces the holistic view of the biosphere as a large, interconnected, complex habitat that is subject to ever increasing anthropogenic pressures. The newly realized global perspective and realizations of global scale man-made impacts has added the concept of sustainability to the architectural realm. Architectural design issues of sustainability are inherently multi-scale, interconnected, and complex; and can not be resolved with western reductionist science alone. The holistic perspective is a core component of the evolving analysis methodology for pursuing insights on the interactions and connectivity of sustainable design. This thesis will speculate on the future of sustainable urban housing as a nonlinear outcome resulting from the rebalance of culture, technology and economy interacting with choice in our society. Through time, the interactions of these changing major forces is converging on a new equilibrium point that, to some extent, can be moved by choice. The architecture of urban housing has a potential role to play in moving that rebalance point in the future towards sustainability. This thesis will attempt to put on stage a context for urban housing in Canadian society that is transitioning towards sustainability in 2020, the year of perfect vision.