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The LITAF/SIMPLE I92V sequence variant results in an earlier age of onset of CMT1A/HNPP diseases
The dynamics of economic growth, oil prices, stock market depth, and other macroeconomic variables: Evidence from the G-20 countries
Wage Structure in Long-Term Employment Contracts with Imperfect Capital Markets and Asymmetric Information
An assessment of the determinants of, or barriers to, successful municipal food waste management systems: A comparative analysis of municipalities in Ontario, Canada.
Food waste (FW) disposal has negative implications for the social, economic, and environmental sustainability of communities. While some municipalities in Canada have made improvements to their FW management, others have not been successful. Considering the complexity of the issues integrated into municipal FW management (MFWM), a mixed methodological approach was used to understand the determinants of, or barriers to, successful MFWM systems. Methods included analysis of primary data from a household survey with a fixed response and open-ended questions, along with analysis of the secondary literature. A comparative analysis of the results was undertaken to determine similarities and differences between successful and less successful cases (Guelph and London, Ontario, respectively) and the broader empirical literature. The results suggest the success of MFWM is determined by the commitment of political decision-makers to implement FW policies backed by adequate regulations, high levels of perceived behavioural control over barriers to participating in MFWM programs, and the ability to finance user-friendly MFWM infrastructure. Recommendations are made to guide policies and programming on food waste management.
Author Keywords: Components of Waste management System , Composting, Determinants of Success, Food Waste Reduction, Households Food Waste Behaviour, Municipal Food Waste Management System
Composition and Transformation of Dissolved Organic Matter in Hudson Bay, Canada
The Hudson Bay region is a sensitive environment, where anthropogenic (e.g., dams, diversions, and/or reservoirs) impacts have increased in recent decades, potentially influencing the functioning of the ecosystem. Dissolved organic matter (DOM) entering Hudson Bay comes from both terrestrial (allochthonous) and aquatic (autochthonous) sources. The chemical composition of DOM is important, as it controls carbon biogeochemistry, nutrient cycling, and heat exchange. In rivers, estuaries, and oceans, photochemical processes and microbial degradation play a significant role in the chemical composition of DOM. Yet, our knowledge is scarce into how photochemical and microbial processes effect DOM composition specifically in Arctic aquatic systems making it difficult to predict how the carbon cycle will respond to a changing environment. This Ph.D. thesis addresses: (1) the composition of photochemically altered autochthonous and allochthonous DOM; (2) the photochemical transformations of DOM in surface waters of Hudson Bay; and (3) the microbial transformations of DOM in Hudson Bay surface waters. Using multiple analytical techniques, this work demonstrated that photochemical and microbial effects were different for light absorbing DOM compounds and ionisable DOM analyzed by Fourier transform-ion cyclotron-resonance-mass spectrometry (FT-ICR-MS). Based on FT-ICR-MS analysis, microbial processes had a greater impact on the molecular composition of allochthonous DOM originating from riverine sources and estuary whereas photochemical processes were the dominant mechanism for degradation of autochthonous DOM in Hudson Bay. Photochemical processes significantly decreased colored dissolved organic matter (CDOM) and fluorescence dissolved organic matter (FDOM) loss whereas microbial degradation was minimal in Hudson Bay river, estuary, and coastal waters. The results of this thesis highlight the importance of photochemical and microbial alteration of DOM in Arctic regions, two processes that are expected to be enhanced under climate change conditions.
Author Keywords: Carbon cycle, Field flow fractionation, Microbial transformation, Optical properties, Photochemical degradation
Temporal Variability of Coloured Dissolved Organic Matter in the Canada Basin, Arctic Ocean (2007-2017)
This thesis investigated coloured and fluorescent dissolved organic matter in the Canada Basin, Arctic Ocean from 2007 to 2017. The first interannual time-series of its kind in the Canada Basin incorporated the use of EEM-PARAFAC to validate a seven-component model. Statistical temporal tests revealed (1) an increasing protein-like intensity in the upper polar mixed layer (UPML); (2) increasing intensities of humic-like components in the halocline due to increasing freshwater content; and (3) no change in DOM composition in deeper Atlantic waters (AW) congruent with the long residence time of the water mass (> 30 years). The significant decline in sea ice concentration was related to a decrease in humic-like FDOM due to enhanced photodegradation and an increase in protein-like FDOM, likely the results of increased biological activities in surface layers. This research provides evidence that the changes in physical and biological environment in the Arctic regions have already profound impacts on the composition and distribution of FDOM.
Author Keywords: absorbance, Arctic Ocean, dissolved organic matter, fluorescence, parallel factor analysis, time-series
Influence of geodemographic factors on electricity consumption and forecasting models
The residential sector is a major consumer of electricity, and its demand will rise by 65 percent by the end of 2050. The electricity consumption of a household is determined by various factors, e.g. house size, socio-economic status of the family, size of the family, etc. Previous studies have only identified a limited number of socio-economic and dwelling factors. In this thesis, we study the significance of 826 geodemographic factors on electricity consumption for 4917 homes in the City of London. Geodemographic factors cover a wide array of categories e.g. social, economic, dwelling, family structure, health, education, finance, occupation, and transport. Using Spearman correlation, we have identified 354 factors that are strongly correlated with electricity consumption. We also examine the impact of using geodemographic factors in designing forecasting models. In particular, we develop an encoder-decoder LSTM model which shows improved accuracy with geodemographic factors. We believe that our study will help energy companies design better energy management strategies.
Author Keywords: Electricity forecasting, Encoder-decoder model, Geodemographic factors, Socio-economic factors
The Applications of Immersive Virtual Reality Technologies for Archaeology
This MA thesis discusses the applications of immersive virtual reality technologies as a tool for studying archaeological excavation processes. The excavation of a structure at the Nassau Mills, a twentieth century milling complex in Peterborough, Ontario, is used as the case study. Structure from Motion (SfM) photogrammetry is used to digitize each excavation day as 3D models. These excavation days are visualized in the Nassau Mills Pavilion, which enables users to revisit the site on each excavation day, and view and measure structural contexts. This thesis explores a number of theories including: affordance theory, phenomenology, theories of perception, and spatial accuracy. It also discusses multi-user presence, spatial thinking, and wayfaring as notions for improving the way users collaborate, share, and study digitized archaeological data in virtual environments. This thesis offers new approaches to using supplementary digital recording techniques for archaeological excavation while providing a new VR collaborative platform for digitizing and disseminating archaeological data.
Author Keywords: Archaeological Database, Digital Archaeology, Multi-User Collaboration, SfM Photogrammetry, Spatial Thinking, Virtual Reality
Academic Efficiency: The University-Firm Innovation Market, Intellectual Property Rights and Teaching
Universities produce a significant and increasing share of basic research that is later commercialized by firms. We argue that the university's prominence as a producer of basic research is the result of a differential efficiency in research production that cannot be replicated by firms or individual agents - teaching. By using research accomplishments to signal knowledge and attract tuition-paying students, universities are uniquely positioned to undertake certain types of research projects. However, in a market for innovation without patent rights, a significant and increasing number of basic research projects, that are social welfare improving, cannot be initiated by firms or universities. The extension of patent rights to university-generated research elegantly redresses this issue and leaves us to ponder important questions about the future of our innovation-driven economies.
Author Keywords: Innovation, Intellectual Property Rights, Research, Science Technology and Innovation Policy