The structural effects of divalent cations and insulin on phospholipid model membranes /

It is well accepted that structural studies with model membranes are of considerable value in understanding the structure of biological membranes. Many studies with models of pure phospholipids have been done; but the effects of divalent cations and protein on these models would make these studies more applicable to intact membrane. The present study, performed with above view, is a structural analysis of divalent io~cardio1ipin complexes using the technique of x-ray diffraction. Cardiolipin, precipitated from dilute solution by divalent ionscalcium, magnesium and barium, contains little water and the structure formed is similar to the structure of pure cardiolipin with low water content. The calcium-cardiolipin complex forms a pure hexagonal type II phase that exists from 40 to 400 C. The molar ratio of calcium and cardiolipin in the complex is 1 : 1. Cardiolipin, precipitated with magnesium and barium forms two co-existing phases, lamellar and hexagonal, the relative quantity of the two phases being dependent on temperature. The hexagonal phase type II consisting of water filled channels formed by adding calcium to cardiolipin may have a remarkable permeability property in intact membrane. Pure cardiolipin and insulin at pH 3.0 and 4.0 precipitate but form no organised structure. Lecithin/cardiolipin and insulin precipitated at pH 3.0 give a pure lamellar phase. As the lecithin/cardiolipin molar ratio changes from 93/7 to SO/50, (a) the repeat distance of the lamellar changes from 72.8 X to 68.2 A; (b) the amount of protein bound increases in such a way that cardiolipin/insulin molar ratio in the complex reaches a maximum constant value at lecithin/cardiolipin molar ratio 70/30. A structural model based on these data shows that the molecular arrangement of lipid and protein is a lipid bilayer coated with protein molecules. The lipid-protein interaction is chiefly electrostatic and little, if any, hydrophobic bonding occurs in this particular system. So, the proposed model is essentially the same as Davson-Daniellifs model of biological membrane.

Socially Constructed Environmental Issues and Sport: A Content Analysis of Ski Resort Environmental Communications

Due to the impact of sport on the natural environment (UN, 2010), it is important to examine the interplay between environmental issues and sport (Hums, 2010, Mallen & Chard, 2011; Nauright & Pope, 2009; Ziegler, 2007). This research content analyzed 82 ski resort environmental communications (SRECs). These communications were rated for their prominence, breadth, and depth using the delineation of environmental issues provided by the Sustainable Slopes Program (SSP) Charter. This data was compared to the resorts’ degree of environmentally responsible action as rated by the Ski Area Citizens’ Coalition (SACC). An adaptation of Hudson and Miller's (2005) model was then used to classify the ski resorts as inactive, reactive, exploitive, or proactive in their environmental activities. Recommendations have been made for standardization and transparency in environmental disclosures and an environmental management system to aid ski resorts in moving from ad hoc processes to a systematic and comprehensive framework for improving environmental performance.

The information content of Canadian implied volatility indexes

For predicting future volatility, empirical studies find mixed results regarding two issues: (1) whether model free implied volatility has more information content than Black-Scholes model-based implied volatility; (2) whether implied volatility outperforms historical volatilities. In this thesis, we address these two issues using the Canadian financial data. First, we examine the information content and forecasting power between VIXC - a model free implied volatility, and MVX - a model-based implied volatility. The GARCH in-sample test indicates that VIXC subsumes all information that is reflected in MVX. The out-of-sample examination indicates that VIXC is superior to MVX for predicting the next 1-, 5-, 10-, and 22-trading days' realized volatility. Second, we investigate the predictive power between VIXC and alternative volatility forecasts derived from historical index prices. We find that for time horizons lesser than 10-trading days, VIXC provides more accurate forecasts. However, for longer time horizons, the historical volatilities, particularly the random walk, provide better forecasts. We conclude that VIXC cannot incorporate all information contained in historical index prices for predicting future volatility.

Foster Children in Education: Resource Handbook for Elementary Educators

This project is aligned with examining the role of the education system and the foster care context on the learning experiences of young children in the classroom. This project is a study of the literature and research conducted on the life experiences, adverse effects of these experiences (such as attachment disorder), socioemotional development, and resiliency of foster care children. Furthermore, the project explores the literature on how the experiences of these foster children traverse contexts and impact the education setting. This study also outlines specific strategies and practices for teachers and school staff in order to promote students’ resiliency, competency, behaviour management, and overall educational success and positive academic experience. These strategies resulted from a critical review of the literature and translated into the development of an informative handbook intended for teachers. The handbook developed in this study focuses on the understanding of the lives of foster care children, their histories, adverse experiences, socioemotional development, strategies to manage behaviour, unique needs, and encouraging their resiliency and success in school. To ensure the soundness of the handbook, 2 education liaisons at a Family and Child Services agency within Ontario and a former child and service social worker from Manitoba reviewed the first draft and provided comments on the validity of the content and the potential usability of the handbook for educators. Suggestions and comments provided by these experts were used to enhance the final product of the handbook.

Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks

Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by random chance. In the study of complex networks, many graph models have been proposed to model the behaviours observed. However, constructing graph models manually is tedious and problematic. Many of the models proposed in the literature have been cited as having inaccuracies with respect to the complex networks they represent. However, recently, an approach that automates the inference of graph models was proposed by Bailey [10] The proposed methodology employs genetic programming (GP) to produce graph models that approximate various properties of an exemplary graph of a targeted complex network. However, there is a great deal already known about complex networks, in general, and often specific knowledge is held about the network being modelled. The knowledge, albeit incomplete, is important in constructing a graph model. However it is difficult to incorporate such knowledge using existing GP techniques. Thus, this thesis proposes a novel GP system which can incorporate incomplete expert knowledge that assists in the evolution of a graph model. Inspired by existing graph models, an abstract graph model was developed to serve as an embryo for inferring graph models of some complex networks. The GP system and abstract model were used to reproduce well-known graph models. The results indicated that the system was able to evolve models that produced networks that had structural similarities to the networks generated by the respective target models.