TSpace :: Home Skip to main content TSpace About About TSpacePolicies & Guidelines Communities & Collections Browse TSpace Statistics Help Log In(current) TSpace Preserve and Share Your Research TSpace is a free and secure research repository established by University of Toronto Libraries to disseminate and preserve the scholarly record of University of Toronto. Search Quick Access Past Exams Public Policy Reports School of Graduate Studies - Theses Toronto School of Theology - Theses University of Toronto Mississauga University of Toronto Scarborough View All Communities and Collections Recent Submissions Loading... Item type: Item , Access status: Open Access , Effect of Grain Size on the Optimal Architecture of Electrodeposited Metal/Polymer Microtrusses (SAGE Publications Ltd, 2014-04-16) Lausic, Ante T; Steeves, Craig A; Hibbard, Glenn D Show more Nanocrystalline microtruss materials are novel cellular hybrids of metal and polymer produced by electrodepositing thin coatings of nanocrystalline metal over rapid prototyped polymer preforms. This study develops an optimization method for the architectural design of electrodeposited metal/polymer composite microtrusses used as cores in sandwich beams. For an optimally designed structure employing conventional polycrystalline nickel, a direct substitution of nanocrystalline nickel will improve structural performance; however, it is likely that the structure will also become significantly sub-optimal. Achieving optimal design with nanocrystalline nickel entails large geometric changes from the conventional polycrystalline case. The same applies if the polymer preform is removed after electrodeposition. The strong connection between optimal architecture and grain size was therefore examined for the limiting cases of polymer-filled and hollow microtrusses. It was found that grain size reduction was more important than polymer preform removal such that grain size effects dominate over the majority of microtruss design space. Show more Loading... Item type: Item , Access status: Open Access , Probing the Representational Structure of Regular Polysemy via Sense Analogy Questions: Insights from Contextual Word Vectors (Wiley, 2024-03) Li, Jiangtian; Armstrong, Blair C. Show more Regular polysemes are sets of ambiguous words that all share the same relationship between their meanings, such as CHICKEN and LOBSTER both referring to an animal or its meat. To probe how a distributional semantic model, here exemplified by bidirectional encoder representations from transformers (BERT), represents regular polysemy, we analyzed whether its embeddings support answering sense analogy questions similar to “is the mapping between CHICKEN (as an animal) and CHICKEN (as a meat) similar to that which maps between LOBSTER (as an animal) to LOBSTER (as a meat)?” We did so using the LRcos model, which combines a logistic regression classifier of different categories (e.g., animal vs. meat) with a measure of cosine similarity. We found that (a) the model was sensitive to the shared structure within a given regular relationship; (b) the shared structure varies across different regular relationships (e.g., animal/meat vs. location/organization), potentially reflective of a “regularity continuum;” (c) some high‐order latent structure is shared across different regular relationships, suggestive of a similar latent structure across different types of relationships; and (d) there is a lack of evidence for the aforementioned effects being explained by meaning overlap. Lastly, we found that both components of the LRcos model made important contributions to accurate responding and that a variation of this method could yield an accuracy boost of 10% in answering sense analogy questions. These findings enrich previous theoretical work on regular polysemy with a computationally explicit theory and methods, and provide evidence for an important organizational principle for the mental lexicon and the broader conceptual knowledge system. Show more Loading... Item type: Item , Access status: Open Access , Cross-modal noise compensation in audiovisual words (Springer Science and Business Media LLC, 2017-02-07) Baart, Martijn; Armstrong, Blair C.; Martin, Clara D.; Frost, Ram; Carreiras, Manuel Show more Perceiving linguistic input is vital for human functioning, but the process is complicated by the fact that the incoming signal is often degraded. However, humans can compensate for unimodal noise by relying on simultaneous sensory input from another modality. Here, we investigated noise-compensation for spoken and printed words in two experiments. In the first behavioral experiment, we observed that accuracy was modulated by reaction time, bias and sensitivity, but noise compensation could nevertheless be explained via accuracy differences when controlling for RT, bias and sensitivity. In the second experiment, we also measured Event Related Potentials (ERPs) and observed robust electrophysiological correlates of noise compensation starting at around 350 ms after stimulus onset, indicating that noise compensation is most prominent at lexical/semantic processing levels. Show more Loading... Item type: Item , Access status: Open Access , Food Security and Sustainability at UTM: Report on Student Food Insecurity, Access, and Campus Food Perceptions (2026-07-09) Johnston, Josée; Simeon, Maddalena Show more This report presents findings from a 2025 online survey of 643 students at the University of Toronto Mississauga (UTM), designed to provide a descriptive portrait of student food experiences on campus.1 The goal is to provide insights about what UTM students feel that the University could improve about the food provisioning on campus. The survey examined where students obtain food, the barriers they encounter, their experiences of food insecurity using items adapted from the Household Food Security Survey Module (HFSSM), and their evaluations of campus food along seven attributes (affordability, taste, nutrition, cultural appropriateness, local sourcing, sustainability, and plant-based options). Show more Loading... Item type: Item , Access status: Open Access , The Association Between Added Sugars Intake and the Healthy Eating Food Index 2019 Among Canadians: Analyses from the 2015 Canadian Community Health Survey&mdash;Nutrition Public Use Microdata File (2026-08-06) Wang, Ye (Flora); Fan, Zhongqi; Marsden, Sandra; DiAngelo, Chiara; Chiavaroli, Laura; Ahmed, Mavra; Chung, Mei Show more Background/Objectives: There is continuing debate regarding the association between added sugars (AS) consumption and overall diet quality, which remains a research gap within the Canadian population. This study aimed to assess the association between intakes of added sugars and the Healthy Eating Food Index (HEFI) 2019 that measures adherence to Canada&rsquo;s Food Guide as an indicator of diet quality. Methods: The first 24 h dietary recalls of Canadians 2 years and older (<i>n</i> = 19,532) from the 2015 Canadian Community Health Survey&mdash;Nutrition were used. Added sugars intakes were calculated based on a systematic 10-step algorithm. Descriptive statistics were obtained for total HEFI and component scores across different AS intake categories. The association between AS categories and HEFI scores was tested using a generalized linear model adjusted for age, sex, education level, type of smoker, and misreporting status. Results: The association between continuous AS intake and HEFI scores was non-linear. In the categorical model, AS intake categories were inversely associated with HEFI scores among Canadians (R² = 0.32, <i>p</i> &lt; 0.001). Large overlaps in HEFI scores were observed among individuals with similar AS intakes for the whole population and each age group. Among high AS consumers (&gt;15% EI), lower HEFI scores were largely due to higher proportions of sweetened beverages (i.e., low beverage scores) and lower intakes of vegetables and fruit and plant-based proteins. Scores for protein food and whole grains were low across all AS intake categories. Conclusions: Large variations in overall HEFI scores were observed amongst those with similar AS intakes, suggesting that added sugars alone may not fully capture overall diet quality or adherence to Canada&rsquo;s Food Guide. Show more Load more ... TSpace is a free and secure research repository established by University of Toronto Libraries to disseminate and preserve the scholarly record of University of Toronto. Learn more Contact [email protected] University of Toronto Libraries, 130 St. George Street, Toronto, ON M5S 1A5 Canada Web Accessibility and Requesting Alternate Formats Online Privacy and Data Collection DSpace software copyright © 2002-2026 LYRASIS Cookie settings Send Feedback Powered by