VictorJuiz/thesis huggingface dataset:
Internationalization and The Undergraduate Students: How Domestic Students Experience Interaction with International Students
Keywords: Internationalization
Undergraduate Students

Working in a university setting, I have learned a great deal from the diverse experiences and knowledge that students bring. I have often wondered whether students learn as much from each other. In this study, I explore the interactions between domestic and international university students as an “internationalization at-home” (IaH) strategy that has the potential to impact most students on a given campus, as opposed to “mobility” focused strategies (where students travel abroad to study) that benefit only a minority of the student population. Guided by student involvement theories and using a qualitative, grounded theory approach to explore the experiences of domestic students at a Canadian university, I conducted six focus group discussions followed by 12 individual, in-depth interviews with two members from each focus group at the three University of Toronto campuses. The research findings revealed that the university embodies substantial structural cultural diversity, making the campus environment a fertile ground for cross-cultural interactions among students. As a result of studying in a richly diverse environment, the respondents were aware of the cultural complexities of campus life and demonstrated a global mindset, which is a prerequisite for internationalization. The study established that domestic students’ redefined the identity of international students to include domestic students with diverse international experience. Interactions between domestic iii and international students have positive, negative and neutral impacts with positive impacts outweighing the others. Respondents reported that they had gained more intercultural skills and knowledge than family and friends since joining the university because there are more opportunities for interaction at various learning sites inside than outside the university. However they pointed to the need for more university facilitated opportunities. The findings point to the need for the university to amplify its capacity to measure diversity and support cross-cultural interactions through policy driven, planned and sustained programmatic interventions. Findings justify the need to use domestic students with diverse international experiences as a resource to internationalize the campus as well as to establish multicultural policies and practices inline with increasing diversity on campus. Recommendations focus on the majority of the students who remain at-home.
How Organizational Experiments Influence Organizational Learning
Keywords: organizational experiments
organizational learning
pilot project
clinical practice guideline
experiential learning
implementation
innovation diffusion
knowledge transfer
knowledge translation
research utilization

Organizational learning through experience has been found to be associated with enhanced firm performance. Organizational experiments are a method of experiential learning that enable organizations to learn from experience and gain context-specific knowledge of how and why to implement new knowledge. Pilot projects, a type of organizational experiment, involve making intentional, systematic efforts to gather and analyze feedback in order to accurately assess the action-outcome relationships of adopting new knowledge prior to embarking on full-scale implementation. Despite the popularity of pilot projects used to test products, programs, and services as well as reports on the outcomes of such experiments, there is a dearth of research focusing on how organizational learning occurs during organizational experiments, and on the processes and structural mechanisms of organizational experiments that contribute to organizational learning. A qualitative, multiple-case study of eight pilot projects was carried out within nursing units across five acute health care organizations during Fall 2008. Interviews were conducted with 32 individuals, including pilot project leaders, nursing program managers and direct care nurses. An inductive approach to data analysis was applied and themes identified. Results were compared to 14 propositions that were developed based on the knowledge transfer, innovation diffusion, and organizational learning literature, and which were bracketed before data analysis to allow findings to emerge from the data. The findings advance existing organizational learning, innovation diffusion, and knowledge transfer models by illuminating the complexity of organizational learning processes. Several processes and structural mechanisms of organizational experiments were found to facilitate single-loop organizational learning, leading to incremental changes to meet existing goals and objectives. Although double-loop organizational learning, which may result in fundamental changes in an organization’s assumptions, norms, policies, goals and objectives was not observed, the study revealed a number of processes and structural mechanisms that have the potential to encourage this type of learning. Studies of organizational experiments are rare. Future directions for research and theory development are suggested to build on the findings of this study. Practical implications are offered to organizations in any industry interested in realizing the potential that organizational experiments have for double-loop learning and enhanced organizational performance.
Coating Performance on Preservative Treated Wood
Keywords: Wood
Coating

Wood service life is significantly prolonged by the use of preservatives. Unfortunately, preservative treated wood is still susceptible to weathering degradation (UV and moisture) and subsequent leaching of preserving components. These negative impacts of weathering can be reduced by the application of a coating; however, the effectiveness of the coating depends on its characteristics, especially its compatibility with preservative treated wood. In this project, the performance characteristics of semitransparent deck stains were evaluated for untreated wood samples and for samples treated with chromated copper arsenate (CCA), alkaline copper quat (ACQ) and copper azole (CA) over three years of natural and three months of accelerated weathering conditions. The parameters measured were water permeability, colour change, general appearance, checking of wood, and the coating‟s ability to reduce preservative leaching. Coatings were characterized in terms of glass transition temperature (Tg), solid content, viscosity, density, contact angle, surface tension, and film thickness. Also penetration depth of a polyurethane (PU) coating was examined using Time-of-Flight Secondary Ion Mass Spectroscopy (ToF-SIMS). iii All the stains evaluated effectively reduced cumulative leaching of preservative components by about 60% on average. An analysis of the preservative gradients and residual soluble components in the ACQ-samples after weathering indicated that preferential leaching of monoethanolamine (Mea) is most likely responsible for the reduced amounts of available copper in coated treated wood samples. Also, a two-week screening test was able to provide accurate predictions of the long-term leaching performance of different coatings. There was a significant interaction effect between coatings and preservatives: solvent-based coatings showed better water repellency for CCA and untreated wood, but there was no significant difference in water repellent effectiveness between water-based and solvent-based coatings for ACQ or CA-treated wood. Overall, preservative treatments greatly enhanced coating performance. Image analysis of the samples subjected to 3 years weathering showed that coatings reduced surface checking by 30-40%. Partial least squares regression (PLS-R) modeling was used to correlate measured coating properties with their weathering performance characteristics. The modeling results showed that coatings with low Tg and high viscosity effectively reduce the leaching of preservative components and improved water repellency and visual ratings
Facilitating Lexical Acquisition in Beginner Learners of Italian through Popular Song
Keywords: teaching Italian, vocabulary learning, lexical acquisition, second-language pedagogy, second-language lexicon, elaborate processing, song, incidental vocabulary learning

This study examines the effects of Song and Involvement Load on the acquisition and retention of lexical items by beginner learners of Italian. Lexical acquisition is investigated via an incidental learning experiment that is based on the premise that growth in L2 vocabulary results from rehearsal and repeated exposure to lexical items in a variety of contexts. More specifically, the study hypothesizes that Song contributes to subvocal rehearsal, a mechanism that facilitates the retention of phonological information. In addition, the study hypothesizes that Involvement Load, as posited by Laufer and Hulstijn (2001), contributes to retention through “elaborate processing”(Craik & Tulving, 1975) of lexical items. In order to evaluate participants‟ lexical acquisition, an experiment with pretest/posttest design was carried out. Participants were divided into one of five groups consisting of a Control Group and four treatment groups. Treatment groups were exposed to a Song either in a sung condition or read as a poem (i.e. without music) while the Control Group completed only the pretest and posttests. Treatment groups also completed lexical tasks designed with either low or high levels of Involvement Load. The pretest and posttests (administered at four and eight weeks respectively after the pretest) were based on Paribakht and Wesche‟s (1996) Vocabulary iii Knowledge Scale. It was hypothesized that in the case of both short-term acquisition (four weeks after the pretest) and retention (eight weeks thereafter) (i) participants exposed to Song would obtain higher scores than participants only exposed to the lyrics; (ii) participants completing High Involvement tasks would score higher than participants completing Low Involvement tasks; and (iii) the effects of Song would be greater than the effects of Involvement Load on test scores. Results indicated that at both posttests, participants exposed to Song obtained higher scores than participants only exposed to lyrics (p=0.004). Additionally, participants carrying out High Involvement tasks scored higher than participants carrying out Low Involvement tasks (p=0.017). However, a comparison of the strength of the effects of Song and Involvement Load on acquisition and retention of target items yielded inconclusive results (p=.383). The validation of many of the hypotheses suggests that song and involvement load are effective in the acquisition and retention of L2 lexical items and should be implemented in the L2 curriculum.
A Study of Quantum-classical Dynamics in the Mapping Basis
Keywords: Quantum-classical
mapping

Solving quantum dynamics is an exponentially difficult problem. Thus, an exact numerical solution is inaccessible for any condensed matter system. A promising approach is to divide the system into a quantum subsystem containing degrees of freedom which are of greater interest or those which have more profound quantum character (e.g., have smaller mass) and a classical bath containing the rest of the system. Imposing such a partition and treating the bath classically results in quantum-classical dynamics. The quantum-classical Liouville equation is a general equation in the Hilbert space of quantum degrees of freedom while it resides in the phase space of the classical degrees of freedom. Any numerical solution to this equation requires representation of the quantum subsystem in some basis. Solutions to this equation have been already proposed in the subsystem, adiabatic and force bases, each with its own cons and pros. In this work, the quantum-classical equations of motion are cast in the subsystem basis and subsequently mapped to a number of fictitious harmonic oscillators. The result is quantum-classical dynamics in the mapping basis which treats both quantum and classical degrees of freedom on the same footing, i.e., in phase space. Neglecting a portion of the back reaction of the quantum-subsystem to classical bath results in an expression for the time evolution of an operator (density matrix) equal to its Poisson bracket with the Hamiltonian. This equation can be solved in terms of characteristics to provide a computationally tractable method for calculating quantum-classical dynamical properties. The expressions for expectation values and correlation functions in this formalism are derived. Calculations on spin-boson system, barrier crossing models---the so called Tully models---and the Fenna-Mathews-Olson pigments show very good agreement between the results of this method and numerical solutions to the Schrödinger equation.
Unequal Citizenship: Being Muslim and Canadian in the Post 9/11 Era
Keywords: Muslims
9/11

My dissertation is the first empirically based study to closely examine the impacts of 9/11 on Canadian Muslim youth. It develops a critical analysis of how the general public supported by state practices, undermine the citizenship of Canadian Muslims, thereby impacting their identity formation. Conducting qualitative analysis, through the use of 50 in-depth interviews with Canadian Muslim men and women, aged 18 to 30, I have arrived at several important findings. These include findings related to citizenship, the racialization of gender identities and identity formation. First, despite having legal citizenship, Canadian Muslims often do not have access to substantive citizenship (the ability to exercise rights of legal citizenship), revealing the precarious nature of citizenship for minority groups in Canada. My research shows that the citizenship rights of Canadian Muslims may be undermined because they do not have access to allegiance and nationality, important facets of citizenship. Second, young Canadian Muslims are racialized and othered through increasingly stereotypical conceptions about their gender identities. Muslim men are perceived as barbaric and dangerous and Muslim women are imagined as passive and oppressed by their communities. As a result of these dominant conceptions, in their struggle against racism, young Canadian Muslims have to invest a great deal of time establishing themselves as thinking, rational, educated and peaceful persons. Third, to cope with their marginalization, many young Canadian Muslims have asserted their Muslim identities. In order to understand this social process, I extend the work done on ‘reactive ethnicity’ and theorize Muslim identity formation in a post 9/11 context, something not yet been done in academic literature. To do so, I coin the term ‘reactive identity formation,’ and illustrate that the formation of reactive identities is not limited to strengthening ethnic identity and that religious minority groups can experience a similar phenomenon. Furthermore, I find that while claiming their Muslim identity, most of my interviewees also retain their Canadian identity in order to resist the notion that they are not Canadian. By doing so, they attempt to redefine what it means to be Canadian.
Characterization and Prediction of Fracture within Solder Joints and Circuit Boards
Keywords: Lead-free solder
Mixed-mode fracture
Microstructure
Mode ratio
Critical energy release rate
J-integral
Elastic-plastic finite element analysis
Crack tip opening displacement
Cohesive zone modeling
Pad cratering
Epoxy cracking
Printed circuit board
Chip scale package
Bending

Double cantilever beam (DCB) specimens with distinct intermetallic microstructures and different geometries were fractured under different mode ratios of loading, ψ, to obtain critical strain energy release rate, Jc. The strain energy release rate at crack initiation, Jci, increased with phase angle, ψ, but remained unaffected by the joint geometry. However, the steady-state energy release rate, Jcs, increased with the solder layer thickness. Also, both the Jci and Jcs decreased with the thickness of the intermetallic compound layer. Next, mode I and mixed-mode fracture tests were performed on discrete (l=2 mm and l=5 mm) solder joints arranged in a linear array between two copper bars to evaluate the J = Jci (ψ) failure criteria using finite element analysis. Failure loads of both the discrete joints and the joints in commercial electronic assemblies were predicted reasonably well using the Jci from the continuous DCBs. In addition, the mode-I fracture of the discrete joints was simulated with a cohesive zone model which predicted reasonably well not only the fracture loads but also the overall load-displacement behavior of the specimen. Additionally, the Jci calculated from FEA were verified estimated from measured crack opening displacements in both the continuous and discrete joints. Finally, the pad-crater fracture mode of solder joints was characterized in terms of the Jci measured at various mode ratios, ψ. Specimens were prepared from lead-free chip scale package-PCB assemblies and fractured at low and high loading rates in various bending configurations to generate a range of mode ratios. The specimens tested at low loading rates all failed by pad cratering, while the ones tested at higher loading rates fractured in the brittle intermetallic layer of the solder. The Jci of pad cratering increased with the phase angle, ψ, but was independent of surface finish and reflow profile. The generality of the J =Jci(ψ) failure criterion to predict pad cratering fracture was then demonstrated by predicting the fracture loads of single lap-shear specimens made from the same assemblies.
The Role of the Principal in the Micropolitical Context of Secondary Schools in Establishing and Maintaining School Community Partnerships
Keywords: Education policy High schools principal micropolitics scool community partnerships leadership

Principals as agents in secondary schools shape the meaning of what goes on in the school. To some extent, what happens in the school is a reflection of their beliefs, values and the dominant societal norms. School-community partnerships are a result of competing values, beliefs and visions of what can contribute to the success of the school from the perspective of the principal, the policy of the district school board and the teachers’ interests. School-community partnerships are therefore generally a compromise between the values of the principal and the teachers in the school through nurturing relationships and interpersonal leadership style. This study focused on the role of principals in establishing and maintaining school-community partnerships in an urban district school board in southern Ontario. The study employed qualitative research methods, drawing on two case studies in secondary schools. Data for the study was collected over a period of eight months through in-depth interviews of two principals and sixteen teachers. I used a micropolitical conceptual framework to analyze the principal’s role in school-community partnerships. The conceptual framework contributes to revealing the role of agency in organizations. The study revealed that principals initiate, support, coordinate, approve, allocate resources and evaluate school community partnerships. Through these roles, principals influence how partnerships unfold in the school. Principals’ roles in school-community partnerships are a reflection of the leadership style they enact in schools. The role is indicative of her/his values, beliefs and preference. This insight is important as a variable to how policies are implemented at different levels on the chain of implementation. It confirms other research that have strongly suggested that policies can be implemented best if the principals’ and teachers’values and beliefs are consistent. The implementation of policies are negotiated on daily basis between the principal and the teachers and principals have upper hand in determining their outcome. The result from this study illustrates how the roles of individuals in an organization mirror their values and beliefs and in turn affect how policies are implemented. The presence of school-community partnerships in secondary schools, although mandated by the district school board policy are the result of the role played by principals rather than merely policy provision. The role of the principal that was not clear was evaluating partnerships. There is need for further study to examine the criteria of evaluating partnerships in schools in order to ascertain the total contribution of the same to the success of schools.
Computational Prediction of Gene Function From High-throughput Data Sources
Keywords: Computational Biology
Machine Learning
Predicting Gene Function
Biological Networks
Combining High-Throughput Data Sources

A large number and variety of genome-wide genomics and proteomics datasets are now available for model organisms. Each dataset on its own presents a distinct but noisy view of cellular state. However, collectively, these datasets embody a more comprehensive view of cell function. This motivates the prediction of function for uncharacterized genes by combining multiple datasets, in order to exploit the associations between such genes and genes of known function--all in a query-specific fashion. Commonly, heterogeneous datasets are represented as networks in order to facilitate their combination. Here, I show that it is possible to accurately predict gene function in seconds by combining multiple large-scale networks. This facilitates function prediction on-demand, allowing users to take advantage of the persistent improvement and proliferation of genomics and proteomics datasets and continuously make up-to-date predictions for large genomes such as humans. Our algorithm, GeneMANIA, uses constrained linear regression to combine multiple association networks and uses label propagation to make predictions from the combined network. I introduce extensions that result in improved predictions when the number of labeled examples for training is limited, or when an ontological structure describing a hierarchy of gene function categorization scheme is available. Further, motivated by our empirical observations on predicting node labels for general networks, I propose a new label propagation algorithm that exploits common properties of real-world networks to increase both the speed and accuracy of our predictions.