Helping Youth Venture Into Volunteerism: A Resource for Ontario Secondary School Educators

This study sought to create a curriculum resource for Ontario secondary school educators that addresses the inadequate preparation of students prior to their involvement in community service. Specifically, Helping Youth Venture Into Volunteerism: A Resource for Ontario Secondary School Educators was designed to help grade 10 Civics and Citizenship teachers prepare students for the 40 hours of community service that are a prerequisite for the Ontario Secondary School Diploma. The resource discusses problems with the current unstructured program, outlines researchers’ recommendations to address such problems, and provides comprehensive unit and lesson plans to help educators meet curriculum expectations for grade 10 Civics and Citizenship. In addition, the study examined the rationale and development of the community service program and reviewed related literature corresponding both to Ontario’s community service program as well as service-learning programs in schools. Study results and the accompanying resource will help improve the community service program’s effectiveness by integrating it into school practices and curriculum and making it more relevant, structured, and meaningful to students. By improving the community service program, students will be more engaged in community service and more likely will become lifelong volunteers and active members of their community.

The Influence of Motivational Behaviours and Goal Profiles on Positive Youth Development

Positive Youth Development (PYD) research has started to shift focus onto how different internal factors such as temperament, dispositions, and/or personality characteristics could influence levels of PYD for youth participating is organized sport. The purpose of this study is to examine how different goal profiles, specifically categorized by diverse levels of task and ego orientation, can influence levels of PYD in an organized youth sport setting. One hundred youth sport participants (mean age = 16.8) completed the short form Youth Experiences Survey for Sport (short form YES-S; Sullivan et al., 2013) to measure PYD, as well as the Task and Ego Orientation in Sport Questionnaire (TEOSQ; Duba 1989) to assess each athlete’s goal profile. A TwoStep Cluster Analysis was used to classify each individual’s personal goal profile into 3 statistically different cluster groupings. Results indicated significant interaction between the PYD outcome factor of Initiative vs. Clusters [F(2,95)= 10.86, p < 0.001, p2= 0.19] as well as Goal Setting vs. Clusters [F(2,95)= 3.95, p < 0.05, p2= 0.08]. Post-hoc analyses provided results that suggest that those athletes who are more task oriented have fostered more positive outcomes from sport, therefore having more goal setting skills and initiative.

GA approach for finding Rough Set decision rules based on bireducts

Feature selection plays an important role in knowledge discovery and data mining nowadays. In traditional rough set theory, feature selection using reduct - the minimal discerning set of attributes - is an important area. Nevertheless, the original definition of a reduct is restrictive, so in one of the previous research it was proposed to take into account not only the horizontal reduction of information by feature selection, but also a vertical reduction considering suitable subsets of the original set of objects. Following the work mentioned above, a new approach to generate bireducts using a multi--objective genetic algorithm was proposed. Although the genetic algorithms were used to calculate reduct in some previous works, we did not find any work where genetic algorithms were adopted to calculate bireducts. Compared to the works done before in this area, the proposed method has less randomness in generating bireducts. The genetic algorithm system estimated a quality of each bireduct by values of two objective functions as evolution progresses, so consequently a set of bireducts with optimized values of these objectives was obtained. Different fitness evaluation methods and genetic operators, such as crossover and mutation, were applied and the prediction accuracies were compared. Five datasets were used to test the proposed method and two datasets were used to perform a comparison study. Statistical analysis using the one-way ANOVA test was performed to determine the significant difference between the results. The experiment showed that the proposed method was able to reduce the number of bireducts necessary in order to receive a good prediction accuracy. Also, the influence of different genetic operators and fitness evaluation strategies on the prediction accuracy was analyzed. It was shown that the prediction accuracies of the proposed method are comparable with the best results in machine learning literature, and some of them outperformed it.

Blocking Top-down awareness of Kanizsa Figures: An ERP Investigation into Bottom-up Processing of Illusory Contours

Neural models of the processing of illusory contour (ICs) diverge from one another in terms of their emphasis on bottom-up versus top-down constituents. The current study uses a dichoptic fusion paradigm to block top-down awareness of ICs in order to examine possible bottom-up effects. Group results indicate that the N170 ERP component is particularly sensitive to ICs at central occipital sites when top-down awareness of the stimulus is permitted. Furthermore, single-subject statistics reveal that the IC N170 ERP effect is highly variable across individuals in terms of timing and topographical spread. The results suggest that the ubiquitous N170 effect to ICs found in the literature depends, at least in part, on participants’ awareness of the stimulus. Therefore a strong bottom-up model of IC processing at the time of the N170 is unlikely.

Optimizing Computational Frameworks to Study the Influence of the Protein Environment on the Individual Site Energies of Chromophores in Photosystem II of Photosynthesis

Photosynthesis is a process in which electromagnetic radiation is converted into chemical energy. Photosystems capture photons with chromophores and transfer their energy to reaction centers using chromophores as a medium. In the reaction center, the excitation energy is used to perform chemical reactions. Knowledge of chromophore site energies is crucial to the understanding of excitation energy transfer pathways in photosystems and the ability to compute the site energies in a fast and accurate manner is mandatory for investigating how protein dynamics ef-fect the site energies and ultimately energy pathways with time. In this work we developed two software frameworks designed to optimize the calculations of chro-mophore site energies within a protein environment. The first is for performing quantum mechanical energy optimizations on molecules and the second is for com-puting site energies of chromophores in a fast and accurate manner using the polar-izability embedding method. The two frameworks allow for the fast and accurate calculation of chromophore site energies within proteins, ultimately allowing for the effect of protein dynamics on energy pathways to be studied. We use these frame-works to compute the site energies of the eight chromophores in the reaction center of photosystem II (PSII) using a 1.9 Å resolution x-ray structure of photosystem II. We compare our results to conflicting experimental data obtained from both isolat-ed intact PSII core preparations and the minimal reaction center preparation of PSII, and find our work more supportive of the former.

Mirroring Enzymes: The Role of H-Bonding In HQuin-BAM Catalyzed Asymmetric Aza-Henry Reactions: A DFT Study into the Reactivity, Mechanism, and Origins of Selectivity

The exact mechanistic understanding of various organocatalytic systems in asymmetric reactions such as Henry and aza-Henry transformations is important for developing and designing new synthetic organocatalysts. The focus of this dissertation will be on the use of density functional theory (DFT) for studying the asymmetric aza-Henry reaction. The first part of the thesis is a detailed mechanistic investigation of a poorly understood chiral bis(amidine) (BAM) Brønsted acid catalyzed aza-Henry reaction between nitromethane and N-Boc phenylaldimine. The catalyst, in addition to acting as a Brønsted base, serves to simultaneously activate both the electrophile and the nucleophile through dual H-bonding during C-C bond formation and is thus essential for both reaction rate and selectivity. Analysis of the H-bonding interactions revealed that there was a strong preference for the formation of a homonuclear positive charge-assisted H-bond, which in turn governed the relative orientation of substrate binding. Attracted by this well-defined mechanistic investigation, the other important aspect of my PhD research addressed a detailed theoretical analysis accounting for the observed selectivity in diastereoselective versions of this reaction. A detailed inspection of the stereodetermining C-C bond forming transition states for monoalkylated nitronate addition to a range of electronically different aldimines, revealed that the origins of stereoselectivity were controlled by a delicate balance of different factors such as steric, orbital interactions, and the extent of distortion in the catalyst and substrates. The structural analysis of different substituted transition states established an interesting dependency on matching the shape and size of the catalyst (host molecule) and substrates (guest molecules) upon binding, both being key factors governing selectivity, in essence, offering an analogy to positive cooperative binding effect of catalytic enzymes and substrates in Nature. In addition, both intra-molecular (intra-host) and inter-molecular (host-guest, guest-guest) stabilizing interactions play a key role to the high π-facial selectivity. The application of dispersion-corrected functionals (i.e., ωB97X-D and B3LYP-D3) was essential for accurately modeling these stabilizing interactions, indicating the importance of dispersion effects in enantioselectivity. As a brief prelude to more extensive future studies, the influence of a triflate counterion on both reactivity and selectivity in this reaction was also addressed.

Alleviating Negative Spillover of a Brand-Harm Crisis: Sensegiving vs. Sensehiding in a Competitor’s Denial Response Strategy

A brand-harm crisis not only affects the scandalized brand, but may also influence competing brands. Thus, marketers of competing brands need to develop response strategies for reducing negative spillover effects. This research takes a competitor’s perspective and introduces two types of response strategies used to convey a sense of denial: sensegiving and sensehiding. It also investigates how the effects of response strategies are contingent upon brand relatedness and individual thinking styles. The results from three experimental studies show that using a sensegiving strategy reduces negative spillover effects more than using a sensehiding strategy. Additionally, the studies suggest that the observed difference in the effects of response strategy tends to be greater when the level of brand relatedness is high than when it is low. However, individual thinking styles (holistic vs. analytic) seem to have little impact on consumers’ responses to the two denial strategies. This research contributes to the brand-harm crisis literature and provides novel insights into a competitor’s response to potential negative spillover effects.