Polyglutamine monomer structure and its implications for molecular self-assembly

Polyglutamine is a naturally occurring peptide found within several proteins in neuronal cells of the brain, and its aggregation has been implicated in several neurodegenerative diseases, including Huntington's disease. The resulting aggregates have been demonstrated to possess ~-sheet structure, and aggregation has been shown to start with a single misfolded peptide. The current project sought to computationally examine the structural tendencies of three mutant poly glutamine peptides that were studied experimentally, and found to aggregate with varying efficiencies. Low-energy structures were generated for each peptide by simulated annealing, and were analyzed quantitatively by various geometry- and energy-based methods. According to the results, the experimentally-observed inhibition of aggregation appears to be due to localized conformational restraint placed on the peptide backbone by inserted prolines, which in tum confines the peptide to native coil structure, discouraging transition towards the ~sheet structure required for aggregation. Such knowledge could prove quite useful to the design of future treatments for Huntington's and other related diseases.

Left ventricular structure in children with developmental coordination disorder

Developmental coordination disorder (p-DCD) is a neuro-developmental disorder featuring impairment in developing motor coordination. This study examined left ventricular mass (LVM) in children with p-DCD (n=63) and controls (n=63). LVM was measured using echocardiography. Body composition was determined using BOD POD and peak oxygen uptake (peak V02) was measured by a progressive exercise test. Height, weight and blood pressure were also measured. LVM was not significantly elevated in p-DCD compared to controls. Peak V02 was lower and SBP, BMI, HR, and BF(%) were significantly higher in p-DCD. They also demonstrated elevated stroke volume (SV), cardiac output (CO), end-diastolic volume, and ventricular diameter in diastole. In regression analyses, p-DCD was a significant predictor of SV and CO after accounting for height, FFM, V02FFM, and sex. These differences in children with p-DCD indicate obesity related changes in the left ventricle and may represent early stages of developing hypertrophy of the left ventricle.

The structure of arabidopsis NPR1 : its function as a salicylic acid receptor and a metal-binding protein

The Arabidopsis NPRI protein regulates systemic acquired resistance dependent on salicylic acid. Analyses by plant two-hybrid analysis in vivo and pull-down assays in vitro showed that the BTB/POZ domain of NPRI at the N-terminus serves as an autoinhibitory domain to negate the function of the transactivation domain at the C-terminus through direct binding of these two domains. I t was also shown that the binding of the BTB/POZ domain to the C-terminus of NPRI was abolished by SA treatment, suggesting that SA could interfere directly with this binding. By gel filtration, it was demonstrated that SA affects the conformation of full-length NPRl , confirming the role of NPRI as an SA receptor. Gel filtration analysis also indicated that NPRI could be converted from an oligomer to a dimer with SA treatment. Furthermore, one N-terminal deletion ~513 has been shown to act as a metal-binding protein and its two Cys-521 and Cys-529 are important for binding to Ni 2 + by pull-down assays.

Automatic Structure Generation using Genetic Programming and Fractal Geometry

Three dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the advantages o ffered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value - a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and e ffectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results o er insight into future applications and study in the fi eld of computational aesthetics and automated structure design.

The effect of governance mechanism and structure on fees and performance of Mutual Funds in Canada

Taking advantage of the unique Canadian setting, this study empirically analyzes the impact of presence of the board of directors, as an internal governance mechanism, on fees and performance of mutual funds. Further, the impact of the board structure on fees and performance of corporate class funds is analyzed. We find that corporate class funds, which have a separate board of directors for the fund, charge higher fees; however, they also provide superior performance than trust funds. Furthermore, we find that for corporate class funds, smaller board, with higher percentage of independent directors, and with the fund CEO acting as the chairman of the board is likely to charge lower fees. Also, more independent boards are strongly associated with superior fee-adjusted performance.

Modeling Metal Protein Complexes from Experimental Extended X-ray Absorption Fine Structure using Computational Intelligence

Experimental Extended X-ray Absorption Fine Structure (EXAFS) spectra carry information about the chemical structure of metal protein complexes. However, pre- dicting the structure of such complexes from EXAFS spectra is not a simple task. Currently methods such as Monte Carlo optimization or simulated annealing are used in structure refinement of EXAFS. These methods have proven somewhat successful in structure refinement but have not been successful in finding the global minima. Multiple population based algorithms, including a genetic algorithm, a restarting ge- netic algorithm, differential evolution, and particle swarm optimization, are studied for their effectiveness in structure refinement of EXAFS. The oxygen-evolving com- plex in S1 is used as a benchmark for comparing the algorithms. These algorithms were successful in finding new atomic structures that produced improved calculated EXAFS spectra over atomic structures previously found.

Informing the structure of subjective well-being through examining changes in life satisfaction, positive affect, and negative affect

Subjective well-being (SWB) refers to how individuals evaluate and experience their lives in positive ways, and encompasses global judgments of life satisfaction (LS), as well as the frequency of positive and negative affect (PA and NA, respectively) in one’s life. To inform the current ambiguity concerning the structure of SWB, the aim of this Masters thesis was to evaluate the structure of SWB based on whether the three components of SWB change together or independently naturally, over time and following experimental manipulation. In Study 1, associations among changes in LS, PA, and NA were evaluated using a longitudinal approach tracking natural changes in the components over periods of three months and three years. Results indicated that change in one component was related to change in the other two components. In Study 2, an experimental design was used to manipulate each SWB component individually, and evaluate changes in all three components following each manipulation. Manipulation materials designed to target LS only were effective (i.e., led to heightened focus on LS, and not PA or NA) and created an increase in both LS and PA. Manipulation materials designed to target PA and NA only were not effective (i.e., led to heightened focus on the target component, as well as on LS). Furthermore, in both studies the strength of an individual’s SWB (assessed in terms of structural consistency and structural ambivalence in Study 1 and Study 2, along with subjective ambivalence in Study 2) did not consistently moderate the degree to which changes in the components were associated with one another. Together, these findings indicate that the structure of SWB may be complex and dynamic, rather than static. Alternatively, the components of SWB may not be easily manipulated in isolation of one another. Implications for existing structural models of SWB are discussed.

The effect of 17-B estradiol therapy on bone mineral density and structure of alveolar bone in the ovariectomized rat model of postmenopausal osteoporosis

The ovariectomized (OVX) rat, a preclinical model for studying postmenopausal bone loss, may also be used to study differences in alveolar bone (AB). The objectives of this study were to quantify the differences in AB following estrogen replacement therapy (ERT), and to investigate the relationship between AB structure and density, and trabecular bone at the femoral neck (FN) and third lumbar vertebral body (LB3). Estrogen treated rats had a higher bone volume fraction (BV/TV) at the AB region (9.8% P < 0.0001), FN (12% P < 0.0001), and LB3 (11.5% P < 0.0001) compared to the OVX group. BV/TV of the AB was positively correlated with the BV/TV at the FN (r = 0.69 P < 0.0001) and the LB3 (r = 0.75 P < 0.0001). The trabecular number (Tb.N), trabecular separation (Tb.Sp), and structure model index (SMI) were also positively correlated (P < 0.05) between the AB and FN (r = 0.42, 0.49, and 0.73, respectfully) and between the AB and LB3 (r = 0.44, 0.63, and 0.69, respectfully). Given the capacity of AB to respond to ERT, future preclinical drug/nutritional intervention studies aimed at improving skeletal health should include the AB as a region of interest (ROI).

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and deterministic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel metaheuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS metaheuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and determinis- tic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel meta–heuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS meta–heuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

De la consultation des peuples autochtones : structure institutionnelle d'un dialogue appelé à renouveler la notion des droits ancestraux : essai fondé sur la jurisprudence de la Cour suprême du Canada (1984-2004) et la théorie du droit

Le présent mémoire est consacré à l'étude de l'obligation faite à l'État canadien de consulter les autochtones lorsqu'il envisage de prendre des mesures portant atteinte à leurs droits et intérêts. On s'y interroge sur le sens que peut avoir cette obligation, si elle n'inclut pas celle de s'entendre avec les autochtones. Notre étude retrace d'abord l'évolution de l'obligation de consulter dans la jurisprudence de la Cour suprême du Canada, pour se pencher ensuite sur l'élaboration d'un modèle théorique du processus consultatif. En observant la manière dont la jurisprudence relative aux droits ancestraux a donné naissance à l'obligation de consulter, on constate que c'est en s'approchant au plus près de l'idée d'autonomie gouvernementale autochtone - soit en définissant le titre ancestral, droit autochtone à la terre elle-même - que la Cour a senti le besoin de développer la consultation en tant que véritable outil de dialogue entre l'État et les Premières nations. Or, pour assurer la participation réelle des parties au processus de consultation, la Cour a ensuite dû balancer leur rapport de forces, ce qu'elle a fait en admettant le manque de légitimité du pouvoir étatique sur les autochtones. C'est ainsi qu'après avoir donné naissance au processus de consultation, la jurisprudence relative aux droits ancestraux pourrait à son tour être modifiée substantiellement par son entremise. En effet, l'égalité qu'il commande remet en question l'approche culturaliste de la Cour aux droits ancestraux, et pourrait l'amener à refonder ces droits dans le principe plus égalitaire de continuité des ordres juridiques autochtones. Contrairement à l'approche culturaliste actuelle, ce principe fait place à la reconnaissance juridique de l'autonomie gouvernementale autochtone. La logique interne égalitaire du processus de consultation ayant ainsi été exposée, elle fait ensuite l'objet d'une plus ample analyse. On se demande d'abord comment concevoir cette logique sur le plan théorique. Ceci exige d'ancrer la consultation, en tant qu'institution juridique, dans une certaine vision du droit. Nous adoptons ici celle de Lon Fuller, riche de sens pour nos fins. Puis, nous explicitons les principes structurants du processus consultatif. Il appert de cette réflexion que l'effectivité de la consultation dépend de la qualité du dialogue qu'elle engendre entre les parties. Si elle respecte sa morale inhérente, la consultation peut générer une relation morale unique entre les autochtones et l'État canadien. Cette relation de reconnaissance mutuelle est une relation de don.