Graduate Theses & Dissertations

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Population cycles are regular fluctuations in population densities, however, in recent years many cycles have begun to disappear. With Canada lynx this dampening has also been seen with decreasing latitude corresponding to an increase in prey diversity. My study investigates the role of alternate prey on the stability of the lynx-hare cycle by first comparing the functional responses of two sympatric but ecologically distinct predators on a primary and alternate prey. I then populated a three species predator-prey model to investigate the role of alternate prey on population stability. My results showed that alternate prey can promote stability, though they are unlikely to “stop the cycle”. Furthermore, stability offered by alternate prey is contingent on its ability to increase intraspecific competition. My study highlights that population cycles are not governed by a single factor and that future research needs to be cognizant of interactions between alternate prey and intraspecific competition. Author Keywords: alternate prey, Canis latrans, functional response, Lepus americanus, Lynx canadensis, Tamiasciurus hudsonicus
Support Vector Machines for Automated Galaxy Classification
Support Vector Machines (SVMs) are a deterministic, supervised machine learning algorithm that have been successfully applied to many areas of research. They are heavily grounded in mathematical theory and are effective at processing high-dimensional data. This thesis models a variety of galaxy classification tasks using SVMs and data from the Galaxy Zoo 2 project. SVM parameters were tuned in parallel using resources from Compute Canada, and a total of four experiments were completed to determine if invariance training and ensembles can be utilized to improve classification performance. It was found that SVMs performed well at many of the galaxy classification tasks examined, and the additional techniques explored did not provide a considerable improvement. Author Keywords: Compute Canada, Kernel, SDSS, SHARCNET, Support Vector Machine, SVM
Who Cares? Examining associations between caregiving sensitivity and parent-peer attachment
Although years of research have established that attachment representations are not consistently transmitted from parent to child (also known as the transmission gap), the reasons for this gap remain relatively unknown. This transmission gap exists between parents and peers as well. The purpose of this thesis was to examine the role of caregiving sensitivity in the relationship between parent attachment and peer attachment and to test if caregiving sensitivity helps explains the relationship between parent attachment and peer attachment. This study found support for the transmission of attachment from parent to peers, but not that caregiving sensitivity explains this transmission. Results indicate that parenting caregiving sensitivity questionnaires are inconsistent in assessing the construct of sensitivity. Parenting caregiving sensitivity questionnaires also do not measure the same concepts as peer caregiving sensitivity questionnaires. These findings suggest that assessing caregiving sensitivity in parents differently may help close the transmission gap. Author Keywords: attachment, caregiving, parenting, peer, sensitivity
Models of partitioning, uptake, and toxicity of neutral organic chemicals in fish
Models of partitioning, uptake, and toxicity of neutral organic chemicals in fish Alena Kathryn Davidson Celsie A novel dynamic fugacity model is developed that simulates the uptake of chemicals in fish by respiration as applies in aquatic toxicity tests. A physiologically based toxicokinetic model was developed which calculates the time-course of chemical distribution in four tissue compartments in fish, including metabolic biotransformation in the liver. Toxic endpoints are defined by fugacity reaching a 50% mortality value. The model is tested against empirical data for the uptake of pentachloroethane in rainbow trout and from naphthalene and trichlorobenzene in fathead minnows. The model was able to predict bioconcentration and toxicity within a factor of 2 of empirical data. The sensitivity to partition coefficients of computed whole-body concentration was also investigated. In addition to this model development three methods for predicting partition coefficients were evaluated: lipid-fraction, COSMOtherm estimation, and using Abraham parameters. The lipid fraction method produced accurate tissue-water partitioning values consistently for all tissues tested and is recommended for estimating these values. Results also suggest that quantum chemical methods hold promise for predicting the aquatic toxicity of chemicals based only on molecular structure. Author Keywords: COSMOtherm, fish model, fugacity, Partition coefficient, tissue-water, toxicokinetics
Acidification of lakes in northern Saskatchewan
The emission of acid precursors by large point sources in Western Canada (such as the Athabasca Oil Sands Region) has prompted studies into the possible impact to downwind aquatic and terrestrial ecosystems. Sensitivity of catchments to acidic deposition was estimated for the total lake population of northern Saskatchewan (n=89,947) using regression kriging. Under the Steady State Water Chemistry model, a range of 12-15% of the total catchment population was predicted to be in exceedance of critical loads under 2006 deposition levels and 6% of catchments were estimated to be very sensitive (pH below 6 and acid neutralizing capacity, alkalinity, calcium below 50 eqL-1). Temporal changes in soil and water chemistry estimated for 18 Alberta and Saskatchewan catchments using the Very Simple Dynamic and PROFILE models showed that changes in soil base saturation and lake acid neutralizing capacity between 1850 and 2100 were slight, declining 0.8% and 0.9% by 2012, respectively. Author Keywords: acidification, critical loads, exceedance, PROFILE, regression kriging, VSD
Framework for Testing Time Series Interpolators
The spectrum of a given time series is a characteristic function describing its frequency properties. Spectrum estimation methods require time series data to be contiguous in order for robust estimators to retain their performance. This poses a fundamental challenge, especially when considering real-world scientific data that is often plagued by missing values, and/or irregularly recorded measurements. One area of research devoted to this problem seeks to repair the original time series through interpolation. There are several algorithms that have proven successful for the interpolation of considerably large gaps of missing data, but most are only valid for use on stationary time series: processes whose statistical properties are time-invariant, which is not a common property of real-world data. The Hybrid Wiener interpolator is a method that was designed for repairing nonstationary data, rendering it suitable for spectrum estimation. This thesis work presents a computational framework designed for conducting systematic testing on the statistical performance of this method in light of changes to gap structure and departures from the stationarity assumption. A comprehensive audit of the Hybrid Wiener Interpolator against other state-of-the art algorithms will also be explored. Author Keywords: applied statistics, hybrid wiener interpolator, imputation, interpolation, R statistical software, time series
Near-Hand Effects and Recruitment of Visual-Tactile Bimodal Cells
Near-hand benefits are seen when individuals are able to process targets more quickly, accurately, and with greater precision when a hand is placed near, rather than far from a target. One possibility is that near-hand stimuli recruit visual-tactile bimodal cells. Research reports that placing a hand near a target delayed immediate saccade onset and speeded delayed saccade onset. Study 1 examined saccade onset to targets appearing near a real hand, a realistic fake hand, or a non-hand visual cue. Immediate saccades were facilitated and delayed saccades were slowed with a real hand in the display, in comparison to a fake hand and no-hand. To establish the link between near-hand effects and bimodal cells, Study 2 used repetitive transcranial magnetic stimulation (rTMS) to depress cortical activity in PMd. RTMS did not induce a reversal of interference induced by near-hand, congruent targets. However, a reversal of the hand effect was found in the stimulation group; a real hand in the display may delay immediate saccades and improve delayed saccades post-stimulation. This finding may double dissociate the effect of the real hand from the fake hand and may be inconsistent with the hypothesis that the hand is attracting attention. Author Keywords: multisensory integration, near-hand effects, PMd, premotor cortex, rTMS, visual-tactile bimodal neurons
Biology and Management of Stratiotes Aloides in the Trent River, Ontario
Invasive aquatic plants can create negative ecological, economic and social impacts when they displace local vegetation, interfere with shipping and navigation and inhibit water-based recreational activities. In 2008, the first North American occurrence of the invasive plant Stratiotes aloides (Water soldier) was identified in the Trent River, Ontario. This research measured offset photosynthesis and turion germination to determine the light compensation point (5.2-5.4m) and maximum depth of colonization (4-6m) for S. aloides propagules using in situ incubations and controlled growth experiments. The effects of spring and fall chemical (Diquat) and physical (hand raking) treatments on S. aloides biomass, local macrophyte recovery and community dynamics in the Trent River were also measured. The target of a 75% minimum reduction in S. aloides biomass was not attained using any of the treatment methods and no perceivable recovery of the local plant community was observed. Significant S. aloides regrowth was recorded for both treatment methods regardless of application timing. Author Keywords: herbicide, invasive species, macrophyte, photosynthesis, propagule
Real-space renormalization group approach to the Anderson model
Many of the most interesting electronic behaviours currently being studied are associated with strong correlations. In addition, many of these materials are disordered either intrinsically or due to doping. Solving interacting systems exactly is extremely computationally expensive, and approximate techniques developed for strongly correlated systems are not easily adapted to include disorder. As a non-interacting disordered model, it makes sense to consider the Anderson model as a first step in developing an approximate method of solution to the interacting and disordered Anderson-Hubbard model. Our renormalization group (RG) approach is modeled on that proposed by Johri and Bhatt [23]. We found an error in their work which we have corrected in our procedure. After testing the execution of the RG, we benchmarked the density of states and inverse participation ratio results against exact diagonalization. Our approach is significantly faster than exact diagonalization and is most accurate in the limit of strong disorder. Author Keywords: disorder, localization, real-space renormalization, strong correlations
Using Fluorescent Carbon Dots for Biosensing Applications of Amino Acids
Amino acids make up proteins, which are the building blocks of life. A balance of amino acids is needed to maintain a healthy state. Tyrosine (Tyr) is synthesized from the metabolism of phenylalanine, which is an essential amino acid, meaning it can only be obtained from the diet. It is related to many metabolic and neurodegenerative diseases. Tyr can undergo post-translational modifications such as phosphorylation and nitration, which are implicated in cancer and nitrative stress, respectively. Although there are many methods to detect Tyr and its analogues, phosphotyrosine (pTyr) and nitrotyrosine (nTyr), these methods are time-consuming, involve expensive instruments and involve tedious process. This research proposes a new type of nanomaterials, carbon dots (CDs), to detect these amnio acids. Data indicate that CDs can be used to detect nTyr with a limit of detection of 34 μM in the linear range of 20 - 105 μM. The amenability of CD-nTyr assay was also tested in various biological matrices and biological molecules and was shown to be sensitive to nTyr. Nitration of Tyr was carried out in the presence of sodium nitrite and hydrogen peroxide catalyzed by either Cu(II) or Fe(III) to mimic biological reactions and CDs were tested as both inhibitors and indicators of Tyr nitration. Although CDs did not inhibit the nitration reaction of Tyr, they did not serve as indicators of Tyr nitration due to the quenching of CDs by the nitrating agents. This shows the importance of using CDs to detect nTyr and further use it for biological applications to detect diseased states. Author Keywords: amino acids, carbon dots, nanomaterials, sensor, spectroscopy, tyrosine
Determinants of Deviance
Background: Researchers have provided evidence that attachment may be independently linked to early adversity and criminal behaviour. In this study, I examined the combined associations among these variables in a student and community sample. Method: The first study consisted of undergraduate students (n = 590) who completed surveys to assess early adversity (Felitti, et al., 1988), attachment (Scharfe, 2016), and criminal behaviours. Participants were grouped based on their reports of adverse experiences and engagement in criminal behaviour. The second study was a replication of the first using a community sample (n = 294). Results: My hypotheses were partially supported, and my findings were consistent across Study 1 and Study 2. As I expected, there was a significant main effect for adversity when examining the mean scores of the attachment representations for attachment to mothers (Study 1 F (16, 1763.402) = 3.61, p < .001; Study 2 (F (16, 849.942) = 2.377, p = .002) and attachment to fathers (Study 1 F (16, 1763.402) = 4. 349, p < .001; Study 2 (F (16, 840.776) = 3.067 p < .001)). From examining the means, I concluded that participants who reported greater adversity reported higher insecure-avoidant and lower secure attachment to mothers and fathers. There were no significant main effects for criminal behaviour or significant interaction effects. Impact: To date, no study has explored all three variables explicitly. My findings are able to highlight the critical importance of secure attachment relationships and add further comprehension to exploring factors associated to criminal behaviour. Author Keywords: Attachment, Criminal Behaviour, Early Adversity
cis-Cytokinins from the tRNA-degradation pathway impact the phenotype and metabolome of Arabidopsis thaliana
Cis-isomers of the cytokinin plant hormone family are thought to have low activity or impact on plant growth and development. Mutants with independent silencing of the pathway leading to cis-CK (cis-cytokinin) were investigated at the phenotype and metabolite levels. Phenotypic deviations were noted in trichome development, fresh weight, rosette diameter, number of non-rosette leaves, shoot height, delayed flowering, flower number, and carotenoids. Exploratory metabolomic analysis detected a number of metabolite features that have been associated with CK, auxin, and ABA (abscisic acid) activity. Evidence from both phenotype and metabolomic analysis support the hypothesis that cis-CK production is biologically important for plant growth and development. Author Keywords: arabidopsis, cytokinin, IPT, metabolmics

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