In this study a new method is introduced to produce bimodal grain structures in low carbon steels. This method is based on cold rolling of dual phase structures and appropriate annealing treatments. The difference in the recrystallization behaviour of ferrite and martensite yields a heterogeneous microstructure with a distribution of coarse and fine grains. These types of microstructures are of interest for optimizing the balance of strength and uniform elongation in ultra-fine grained low carbon steels.

This thesis examines weight-based stigma in schools, and examines body size as an issue of difference, subject to discrimination, from within a critical democratic framework. I raise a paradox when it comes to dealing with the issue of obesity; we don’t want to say that weight is within individual control, however, we don’t want to say obesity is outside individual control and nothing can be done to affect it. Neoliberal conceptions of obesity in Western countries are highly individualistic, and blame obese individuals for failing to adhere to social norms. This leads to deficit thinking about obese individuals, wherein a group of students are seen as inherently deficient. Turning to Freire’s conception of ethics, which calls for respect for all students, it becomes clear that conceiving of a group of students as inherently deficient is unethical. This then renders the neoliberal conception of obesity unethical. I then offer pedagogically and ethically sound alternatives to current practices.

Traditional appearance based face recognition (FR) systems use gray scale images, however recently attention has been drawn to the use of color images. Color inputs have a larger dimensionality, which increases the computational cost, and makes the small sample size (SSS) problem in supervised FR systems more challenging. It is therefore important to determine the scenarios in which usage of color information helps the FR system. In this thesis, it was found that inclusion of chromatic information in FR systems is shown to be particularly advantageous in poor illumination conditions. In supervised systems, a color input of optimal dimensionality would improve the FR performance under SSS conditions. A fusion of decisions from individual spectral planes also helps in the SSS scenario. Finally, chromatic information is integrated into a supervised ensemble learner to address pose and illumination variations. This framework significantly boosts FR performance under a range of learning scenarios.

This thesis examines weight-based stigma in schools, and examines body size as an issue of difference, subject to discrimination, from within a critical democratic framework. I raise a paradox when it comes to dealing with the issue of obesity; we don’t want to say that weight is within individual control, however, we don’t want to say obesity is outside individual control and nothing can be done to affect it. Neoliberal conceptions of obesity in Western countries are highly individualistic, and blame obese individuals for failing to adhere to social norms. This leads to deficit thinking about obese individuals, wherein a group of students are seen as inherently deficient. Turning to Freire’s conception of ethics, which calls for respect for all students, it becomes clear that conceiving of a group of students as inherently deficient is unethical. This then renders the neoliberal conception of obesity unethical. I then offer pedagogically and ethically sound alternatives to current practices.

Objective: The purpose of this study is to determine the relationship between cone beam CT (CBCT) voxel size and tooth root fracture detection. Materials and Methods: Vertical and horizontal root fractures were induced in a total of 30 teeth, and 15 teeth were left intact. Teeth were imaged with projection digital radiography and the Kodak 9000 3D CBCT system with a native voxel size of 76 μm. The CBCT voxels were then downsampled to 100 μm, 200 μm and 300 μm. Five blinded observers evaluated both sets of images with a 1 week washout interval between each set of observations. Results: CBCT outperformed the projection images for fracture detection for all voxel sizes except 300 μm (p<0.05). No significant differences were found between the different voxel sizes (p>0.05). Conclusion: Although voxel size does not impact the interpretation of root fractures, in vitro, CBCT outperformed projection imaging for voxel sizes less than 300 μm.

This thesis focuses on the classic problem of investment per offspring. It is an attempt to (i) reconcile theoretical research with empirical methods that can be used to test theory, (ii) test a fundamental prediction that arises from classic theory, and (iii) test one of the more recent theoretical developments. We use Atlantic salmon (Salmo salar) as a model organism. Drawing from the classic Smith–Fretwell model, we provide defensible definitions of offspring fitness that can be used in empirical studies, and we show using simulation that the Weibull-1 statistical model provides the best estimates of optimal investment patterns. Next, we apply these methods to mark-recapture data collected for juvenile Atlantic salmon. This experiment supports the prediction that parental reproductive success is maximized by increasing investment per offspring when environmental conditions become unfavourable. Having verified this prediction, we test a general extension of classic theory which broadly suggests that large-bodied females decrease the quality of the offspring environment, such that larger females in a population ought to invest relatively heavily in investment per offspring. This might occur, for example, when larger females have a greater fecundity and if optimal investment per offspring increases with sibling competition among non-dispersive offspring. The results of this experiment generally do not support the idea that large females decrease the quality of the offspring environment in Atlantic salmon. Finally, we also provide evidence against a verbal hypothesis that attempts to explain inter-population variation in egg size of salmonids as an adaptation to population-specific spawning substrates. We conclude that the classic model of egg-size optimization can be a useful tool for understanding patterns of reproductive allocation in nature, but that investment per offspring is an extremely complex trait that cannot be fully understood by invoking a simple optimality model. Variation in investment per offspring, especially that which occurs within populations, is most parsimoniously attributed to the physiological factors (e.g., variation in testosterone levels), morphological constraints (e.g., the size of the pelvic aperture) and genetic factors (e.g., genetic correlations arising from pleiotropic genes) that affect this phenotype and that constrain adaptive evolution of this trait.

The analysis of microarray data is a challenging task because of the large dimensionality and small sample size involved. Although a few methods are available to address the problem of small sample size, they are not sufficiently successful in dealing with microarray data from extremely small (~<20) sample sizes. We propose a method to incorporate information from diverse sources to analyze the microarray data so as to improve the predictability of significant genes. A transformed data set, including statistical parameters, literature mining and gene ontology data, is evaluated. We performed classification experiments to identify potential allergy-related genes. Feature selection is used to identify the effect of features on classifier behaviour. An exploratory and domain knowledge analysis was performed on noisy real-life allergy data, and a subset of genes was selected as positive and negative class. A new set of transformed variables, depending on the mean and standard deviation statistics of the data distribution and other data sources, was identified. Significant allergy- and immune-related genes from the microarray data were selected. Experiments showed that classification predictability of significant genes can be improved. Important features from the transformed variable set were also identified.

The goal of this study was to investigate the effects of intertidal mudflat biofilms on sediment erosion in the Minas Basin of the Bay of Fundy, Canada. From April through November 2012, sediment cores were collected biweekly and eroded using a Gust micro- cosm. Half of the cores were eroded without undergoing prior treatment, while the other half were treated with bleach prior to erosion to destroy biofilms. Size-specific sediment retention by biofilms was evaluated by comparing the disaggregated inorganic grain size (DIGS) distributions of sediment resuspended from untreated and treated cores, while seasonal variation in natural sediment erodibility was assessed by focusing on the mass eroded from untreated cores only. Results show that biofilms preferentially retained clays and very fine silts (< 10 μm), and that overall sediment erodibility decreased from spring to fall. Results also indicate that abundance of the infaunal amphipod Corophium volutator and rainfall increased sediment erodibility.

Generalized estimating equations (GEEs) are commonly used in the modelling of correlated data. However, in the presence of informative cluster sizes, estimates obtained using GEEs may be biased. In order to correct for this bias a weighted GEE may be used. Previous research has extended the use of weighted GEEs to a longitudinal setting but requires that cluster sizes remain constant over time. In this thesis, two new weighting schemes are investigated to allow for valid parameter estimation in a longitudinal setting where cluster sizes are informative and may change over time. Specifically, this thesis considers weighting by the inverse of the time-dependent cluster size, and by the total number of observations for a given cluster. Through Monte Carlo simulation, the performance of traditional GEEs, GEEs under previously proposed weighting schemes, and these two new models are compared. Results of these studies show that weighting by the total number of observations results in unbiased parameter estimates with excellent coverage.

A novel interpretation of leaf mass variation in plants has been recently proposed based on its relationship with variation in leafing intensity – number of leaves produced per unit remaining above-ground dry mass. It is now widely established that between species variation in these two traits is strongly, negatively (and isometrically) correlated for woody and herbaceous species. Possible fitness advantages of higher leafing intensity (requiring smaller leaf size) can be interpreted in terms of the greater concentration of axillary meristems (larger ‘bud bank’), which may provide greater potential deployment flexibility for growth or reproduction. However, no research to date has addressed how these two traits are related at different scales, specifically at the between-individual (within-species) level, or between sexes in dioecious species. For the majority of 24 herbaceous angiosperms studied here, between-individual (within species) co-variation in leaf size and leafing intensity displayed as an isometric trade-off. For the few species with allometric trade-offs, plants with smaller body size produced disproportionately more leaves, indicating a possible mechanism for promoting reproductive economy when plant size is suppressed (e.g. by competition). For two out of three woody dioecious species, and two out of three herbaceous dioecious species, males tended to produce more, smaller leaves than females, possibly promoting pollen dispersal through a more broadly-spaced floral display (developing from more numerous axillary meristems). In contrast, the larger (but fewer) leaves in females may serve to maximize local photosynthetic resources available for axillary fruit and seed maturation. Males and females did not differ in branching rates associated with differences in leafing intensities, but in one herbaceous species, higher leafing intensity in males was associated with higher flower production than in females. In the larger 24-species data set, there was no evidence that species with higher leafing intensity (providing more axillary meristems) was associated with either a greater magnitude or a greater flexibility in branching or flowering intensity. Additional studies are required to explore the possibility that large ‘bud banks’ of axillary meristems (conferred by high leafing intensity) may promote effective mechanisms for tolerating environmental variability, responding to damage (e.g. from herbivory), and/or maximizing reproductive economy. / Thesis (Master, Biology) -- Queen's University, 2009-10-27 21:20:03.509