Daily Physical Activity as an Intervention Strategy for Anxious Elementary Students

The focus of this project was twofold: a comprehensive examination of provincially mandated, school-based physical activity programming beyond physical education, as well as an exploration of the potential relationship between school-based physical activity and student anxiety. The data were collected using a descriptive research methodology consisting of a qualitative document analysis of provincial government publications pertaining to school-based physical activity programming and the literature on the relationship between physical activity and student anxiety. The findings revealed inconsistencies between the Canadian provinces and territories in providing mandated school-based physical activity beyond physical education. It was also revealed that regular school-based physical activity has the potential to make a positive impact on students’ lives in many ways. Students are living more sedentary lives, and evidence shows that regular physical activity could prevent and treat student anxiety.

Model studies toward the total synthesis of thebaine by an intramolecular cycloaddition strategy

The present studies describe recent progress toward the synthesis of the thebaine. Model substrates were synthesized using pyridazine derivatives as a starting material, which allowed to assess the key Diels-Alder reaction as a route to construct the thebaine core.

One of Us or One of Them: A Generic Qualitative Study on the Efficacy of the Funds of Knowledge Strategy to Reduce Teacher Ethnocentrism

The purpose of this study was to examine whether English a Second Language (ESL) instructors’ ethnocentrism could be reduced using multicultural education (MCE) principles. There were three focus group discussions and a Likert scale questionnaire. The findings demonstrated that while ESL instructors were conscious of systemic barriers, media stereotypes, and bullying, more diversity training is required in order to improve teachers’ attitudes, responses, and instructional strategies regarding integration issues due to the increasing diversity of learners present in classrooms today. The findings of the study also demonstrated that MCE principles could be used to effectively raise the awareness of ESL instructors when dealing with integration and assimilation issues. When immigration, human rights, and multicultural policies were examined critically, ESL instructors were able to improve their cross-cultural skills in the classroom to be more inclusive towards diverse ethnic groups by giving learners greater opportunities to express themselves. As a result, learners’ knowledge, experience, and skills were validated in the classroom leading to a more meaningful learning experience.

Mobile Books: Effect of Engagement on Students’ Motivation and Cognitive Strategy Use

This mixed methods research explores the role of reading engagement in 30 grade 1 students’ motivation to read mobile electronic storybooks (eBooks) and cognitive strategies used during eBook reading. Data collection comprised motivation and parent questionnaires, behavioural observation checklists, cognitive strategies rubric, and teacher interviews. Students’ emotional engagement with and enjoyment of mobile eBooks corresponded to 4 motivational aspects of intrinsic motivation: curiosity, control, choice, and challenge. Post-intervention results indicated that most student participants enjoyed answering eBook comprehension questions and preferred eBooks to print books; by the end of the study, all had access to a mobile device at home. A majority of participants were actively engaged during mobile eBook reading sessions and persisted in answering embedded eBook comprehension questions, which together reflected students’ behavioural engagement and time-on-task during mobile reading. Students’ off-task behaviours related to iPads’ accessibility features and inherent reader-friendliness. All participants successfully answered evaluative questions requiring them to activate prior knowledge, and experienced higher levels of difficulty with making personal connections. The study highlights the importance of making school-based literacy practices relevant to students’ outside worlds, and discusses implications for teacher educators, administrators, curriculum developers, and eBook and other digital developers concerning the need for greater collaboration in order to more closely align technology resources with national curriculum expectations.

Chemoenzymatic Total Synthesis of Morphine alkaloids: Synthesis of Dihydrocodeine and Hydrocodone via a Double Claisen Strategy and ent-Hydromorphone via an Oxidative Dearomatization/intramolecular [4+2] Cycloaddition

This thesis describes the chemoenzymatic synthesis of three morphine alkaloids. The total synthesis of dihydrocodeine and hydrocodone was accomplished starting from bromobenzene in 16 and 17 steps, respectively. The key steps included a microbial oxidation of bromobenzene by E. coli JM109 (pDTG601A), a Kazmaier-Claisen rearrangement of glycinate ester to generate C-9 and C-14 stereo centers, a Johnson-Claisen rearrangement to set the C-13 quaternary center, and a C-10/C-11 ring closure via a Friedel-Crafts reaction. In addition, the total synthesis of ent-hydromorphone starting from β-bromoethylbenzene in 12 steps is also described. The key reactions included the enzymatic dihydroxylation of β-bromoethylbenzene to the corresponding cis-cyclohexadienediol, a Mitsunobu reaction, and an oxidative dearomatization followed by an intramolecular [4+2] cycloaddition.

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.

The perceptions of commune health workers about an education strategy received for counselling fathers about infant and breastfeeding involvement

Objective To evaluate the perceptions of healthcare workers in Vietnam about the efficacy of a continuing education strategy about father involvement and breastfeeding counselling. Design One group, post-test only, quasi-experimental design Method A questionnaire based on Social Cognitive Theory (SCT; Bandura, 2004) was disseminated to participants (N=28). This questionnaire measured self-efficacy, outcome expectations, socio-structural factors, goal setting and behaviour. Multiple regressions were analyzed predicting participants’ practice of client focused father involvement consulting. Results Bivariate correlations demonstrated the anticipated patterns of association between SCT-based constructs. Multiple regression analysis indicated that outcome expectations and barriers were significant predictors of client focused father involvement consulting. Conclusions Participants reported that the education increased their self-efficacy, outcome expectations and client focused father involvement consulting behaviour. Future education should be accessible, increase counselling confidence and address beliefs about the outcomes and challenges of father involvement consulting.

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.