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2018 — Effects of Temperature and Thyroid Hormone on Oxidative and Lipid Metabolism in Juvenile Lake Whitefish (Coregonus Clupeaformis)Résumé
Nearly every aspect of biological function is influenced by temperature, including metabolism. Factors such as seasonal change and climate change both contribute to environmental temperature variability. While many eurythermal fish species can acclimate to varying environmental conditions by adjusting metabolic processes, the cellular mechanisms and endocrine control of these shifts have not been fully elucidated. I examined the interactions between elevated temperature exposure and hyperthyroidism on various metabolic markers in the cool-water teleost, lake whitefish (Coregonus clupeaformis). Juveniles were exposed to 13 (control), 17 or 21 ºC for 4, 8 or 24 days. Widespread changes in the abundance of mRNA … Lire la suite
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2021 — Small Modular Reactor Site Selection in Saskatchewan: Site Slection Risk Assessment with Focue on Surface Water Availability and Dissolved Strontium MonitoringRésumé
One of the objectives of the research is to provide a province-wide assessment of Saskatchewan to quantitatively identify optimal SMR site locations that are capable of providing adequate surface water for the lifecycle of an SMR power generating facility. Currently, there is limited data on water resources in the province. Therefore, reports on the current and future water related stresses in the province, completed for the Government of Saskatchewan, (along with a water risk assessment interactive map) are used in the province-wide site assessment. Another objective in this work is to develop a model that aids in the assessment of … Lire la suite
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2014 — Analysis and optimization of Ozone Assisted Biological Filtration Systems Used in Surface Water Treatment,Résumé
Small and rural communities across Canada depend on potable water sources that are collected in farm dugouts or small reservoirs. In Saskatchewan, the village of Osage and Hamlet of Benson are two communities that depend on farm dugouts for their drinking water supply. Within the last 10 years both communities implemented ozone-assisted biological filtration for water treatment; however, both plants experienced low treatment efficiency, as indicated by presence of disinfection by products and in particular trihalomethanes at concentration that exceeds Saskatchewan Drinking water standards of maximum acceptable concentration (MAC) of 100 μg/L as a running annual average of seasonal samples. … Lire la suite
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2024 — Screening of polyamine solvents for co2 capture: Solubility measurement and modelingRésumé
This research aims to identify new promising amines suitable for industrial-scale CO2 capture from natural and flue gas streams. Ideal amines should exhibit high CO2 solubility and low regeneration energy requirements. The amines selected for this study feature multiple amino groups, including combinations of secondary and tertiary amino groups within their molecular structures. The solubilities of two amines in CO2 were examined in this work: 1-[Bis[3-(dimethyl-amino) propyl]amino]2-propanol (BDMAPAP) and N, N, N', N', N''-Pentamethyl diethylene-triamine (PMDETA). The pressure decay method was used to measure and determine the solubilities. To fully assess the performance of these amines under varied circumstances, experiments … Lire la suite
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2017 — Analytical Modeling of Multi-Fractured Horizontal Wells in Heterogeneous Unconventional ReservoirsRésumé
Current analytical models for multi-fractured horizontal wells (MFHW) generally neglect reservoir heterogeneity, typical seepage characters of unconventional reservoir, partially penetrating fracture and various fracture damage mechanisms. In this thesis, three linear flow models have been developed to facilitate pressure and rate behavior analysis of shale, tight sand and unconventional reservoir with damaged fractures. These models are validated by comparing with KAPPA Ecrin and are more accurate than previous linear flow models in modeling partially penetrating cases. Field data are analyzed and results prove the reliability of these models. The first model is for heterogeneous shale reservoir with multiple gas transport … Lire la suite
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2022 — Assessing factors contributing to the changes in historical temperature extremes and investigating future changes in extreme eventsRésumé
Temperature extremes are among the most studied features in the climate research community using both the observed datasets and the simulated outputs from climate models. Such extremes often lead to irreversible societal, ecological, and economic consequences across the globe. Moreover, projected results from climate models have also indicated that changes in future temperature-related extremes will become more frequent and intense with global warming. Therefore, comprehensive knowledge of long-term changes in the observed temperature extremes cannot only help to detect, attribute, and project climate change but can also enhance the development of effective mitigation and adaptation strategies (at regional or site-specific … Lire la suite
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2014 — Development of Inexact Optimization Methods for Planning Environmental Management Systems Under Multiple UncertaintiesRésumé
Environmental planning is becoming a key component in environmental management due to rapid socio-economic development and steadily increasing population. In real-world applications, uncertainties and complexities are frequently involved in environmental management systems, where decision makers need sound management approaches in order to allocate their limited resources to different competing end users. Thus, more innovative approaches are required to deal with multiple uncertainties. As well more in-depth information in regard to the individual and interactive effects among multiple input parameters on the system performance is needed. In this research, a dual-interval two-stage mixed-integer inexact-chance-constrained linear programming (DITMIC) method was developed for … Lire la suite
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2021 — Experimental and Numerical Evaluation of Enzyme-Assisted Hot Waterflooding Performance in a Heavy Oil ReservoirRésumé
In the past few decades, huge heavy oil reserves have been discovered around the world. Due to its high carbon intensity and high viscosity, heavy oil recovery after a primary production process remains still low. In this case, various enhanced oil recovery (EOR) techniques have been developed and utilized to exploit such huge heavy oil reserves with limited success. At present, the commonly used methods for heavy oil recovery are based on thermal and solvent injections, which have significant limitations such as high energy consumptions, large CO2 emissions, and low production rates. On the other hand, the popularity of enzymes … Lire la suite
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2013 — Performance Evaluation of Wells With Single and Multiple Fractures in Tight FormationsRésumé
Hydraulic fracturing technology together with horizontal wells leads to the exploration and development of unconventional resources economically feasible. Due to complex fracture network and geology nature, evaluating performance of fluids flow in such a hydraulic fracture system is really a challenge. Numerical modeling and simulation usually requires very fine grid to reduce the truncation error and enhance the simulation accuracy. Sometimes even with fine grid, the associated computation accuracy is compromised. On the other hand, numerous studies have been conducted on pressure transient analysis with analytical and/or numerical methods, though some underlying mechanisms have not been well understood since fluid … Lire la suite
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2023 — Implementation of spiking neural network on field-programmable gate array for image classificationRésumé
This thesis concerns the Spiking Neural Network (SNN) implementation on a Field-Programmable Gate Array (FPGA). SNN is a particular Artificial Neural Networks (ANN) form. An SNN has similar features as an ANN, but an SNN has a different information system that will allow SNN to have higher energy efficiency than an ANN. This thesis aims to design an SNN with low accuracy loss and high power efficiency that can be easily implemented on an FPGA. The theory of ANN, the coding schemes of SNN, the training methods of SNN and the implementation methods of SNN on FPGA are investigated in … Lire la suite
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2019 — Engagement Paper for the Documentary "The Nation of Women"Résumé
In traditional Chinese culture, the only legitimate heirs to a family are the male family members. Since I am the only daughter of my father, and he is the only son of my grandparents, our family symbolically ends with me. This reflects thousands of years of patriarchal Confucian gender prejudice and oppression of women. By a fortuitous opportunity, in the summer of 2007, Dr. Wang Lin asked me to help with her research on a Chinese matriarchal society – the Mosuo community. I was impressed by their unique culture, tradition and social structure, and decided one day to make a … Lire la suite
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2012 — Dual-Interval Optimization Modeling for the Planning of Natural Gas Pipeline SystemsRésumé
Natural gas (NG) pipeline network, a major mode of transportation, requires optimized operations and management in order to ensure stable and efficient gas supplies. To provide such optimal solutions, pipeline systems modeling is a widely used method. The interactions among upstream, midstream, and downstream sectors could be clearly defined and addressed by developing mathematical models for pipeline systems. However, in the real world, the market demand of NG usually cannot be deterministic values, and floating demand is the more common situation. Furthermore, the range of floating demand also cannot be determined. Therefore, it involves dual-interval uncertainties. Currently, in the field … Lire la suite
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2016 — Qualitative and Quantitative Technical Criteria for Determining the Minimum Miscibility Pressures from Four Experimental MethodsRésumé
In this study, several qualitative and quantitative technical criteria are examined/developed and applied to determine the minimum miscibility pressures (MMPs) of different light crude oilCO2 systems from four experimental methods, i.e., the slim-tube tests, coreflood tests, rising-bubble apparatus (RBA), and vanishing interfacial tension (VIT) technique. First, five slim-tube tests with the live light crude oilCO2 system and five coreflood tests with the dead light crude oilCO2 system are conducted at different injection pressures and the actual reservoir temperature of Tres = 53.0C. It is found that different MMPs can be obtained from the same measured oil recovery factor (ORF) vs. … Lire la suite
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2019 — Thermodynamic Phase Behavior and Miscibility Studies of Confined Fluids in Tight FormationsRésumé
In this study, the nanoscale-extended theoretical models and experimental nanofluidic system are developed to calculate and measure the thermodynamic phase behavior and miscibility of confined pure and mixing fluids in tight formations. First, a new nanoscale-extended equation of state (EOS) is developed to calculate the phase behavior of confined fluids in nanopores, based on which two correlations are modified to predict the shifts of critical properties. The nanoscale-extended EOS model has been proven to accurately calculate the phase behaviour of confined fluids. The thermodynamic phase behavior of confined fluids in nanopores are substantially different from those in bulk phase. The … Lire la suite
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2018 — Cyclic Hot Solvent Injection Method to Enhance Heavy Oil Recovery Based on Experimental StudyRésumé
In the solvent-based heavy oil recovery methods, the cyclic solvent injection (CSI) method has been acknowledged as an effective method with high oil production rate. Oil recovery in pure solvent CSI study is as high as over 70%. However, injection pressure in the pure solvent CSI is limited by the low dew point pressure of hydrocarbon at laboratory ambient temperature condition. In the mixture gas CSI method, although the solvent dew point pressure can be raised at the ambient temperature condition, recovery factor of this method is much lower than that of pure solvent CSI method. Therefore, it is necessary … Lire la suite
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2014 — A Novel Automatic History Matching Method and Upscaling Study of Cyclic Solvent Injection Process for Post-Chops Heavy Oil ReservoirsRésumé
Cyclic solvent injection (CSI) is one of the most promising processes for a post-CHOPS reservoir. This paper summarizes experimental results of nine CSI tests with three physical models with different scales. A typical western Canadian heavy oil sample with a viscosity of 4,830 cp at the reservoir conditions was used in these nine tests. Additionally, numerical simulation models were established to simulate the tests. A modified genetic algorithm (GA) based history matching method (MGA) was validated by history matching three tests. This MGA method was developed by integrating a population database and orthogonal array with the GA to improve the … Lire la suite
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2021 — Development of Multi-Layer Soil Systems for Wastewater Treatment in Rural AreasRésumé
This dissertation provides a comprehensive study on the development and application of multi-layer soil systems (MLSs) for wastewater treatment in rural areas. Considerable research efforts have been made in investigating the feasibility, compatibility, and capability of developed systems by considering the risks and enviroeconomic impacts under uncertain conditions. Likewise, the interactive effects of environmental factors and relationships of microbial function on pollutant removal have been further explored. In addition to this, fabricating emerging materials for enhancing the system performance, as well as toxic effects of such fabricated materials, have also been taken into account. An integrated gravity-driven MLS system has … Lire la suite
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2021 — A Multi-omics Study of Human Mitochondrial Proteins During NeurogenesisRésumé
Mitochondria are double membrane organelles in eukaryotic cells, and play vital roles in neurogenesis. Disruptions of mitochondrial functions may lead to neurodegenerative disorders. Yet, the underlying mechanisms remain largely unknown. To elucidate the dynamic changes of transcriptomes during neurogenesis, the single cell RNA sequencing experiments were conducted on both cultured human embryonic carcinoma stem cells and and retinoic acid-induced differentiated neuron-like cells. The systematic analysis framework I have established revealed significant expression alternations between cell states, persistence of heterogeneity in differentiated neuron-like cells, and dynamic modeling during the differentiation, and also identified mitochondrial proteins as novel neuronal markers. To elucidate … Lire la suite
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2018 — Prediction Equations for Maximum Scour Depth At Culvert Outlets and Culvert Flow Simulation by OpenfoamRésumé
Scour is one of the most common reasons for infrastructure failure. Local scour around bridge piers and bridge abutments had been extensively addressed in the past. However, the research on local scour around culverts is still very limited. To fill in this gap, different existing prediction equations are compared in estimating maximum scour depth around different shapes of culverts. It is found that for rectangular culvert culverts, Valentin’s equation (1967) and Kerenyi’s equations (2007) can give the best prediction in the range of the present study. While for circular culverts, Liriano’s equation (1999) and Azamathulla’s equation (2012) can provide better … Lire la suite
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2014 — Managing Constraints and Preferences: Constrained Tradeoffs-Enhanced Conditional Preference Networks (CTCP-NETS)Résumé
In this thesis, a new framework for constraint and preference representation and reasoning is proposed, including the related definitions, algorithms and implementations. A Conditional Preference Network (CP-Net) is a widely used graph model to present the preferences among various outcomes. It allows users to describe their preferences of values over different variables. However, a CP-Net does not express the relations between variables, thus making the orders of outcomes incomplete. Because of this limitation, an extension of the CP-Net called Tradeoffs-enhanced Conditional Preference Network (TCP-Net) has been proposed to express the relative importance between variables. Nonetheless, TCP-Nets have the following drawbacks. … Lire la suite
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2021 — Geology of Sub-Salt Carbonate Rocks in the Rozhkovsky Structure, Northern Precaspian Basin, Kazakhstan: Implications for the Formation of Carbonate Reservoir in a Relatively Closed Diagenetic SystemRésumé
Sub-salt carbonate successions in the Precaspian Basin host several world-famous oil/gas fields along the basin margin. The Early Carboniferous Sub-salt carbonate rocks are associated with the Rozhkovsky structure near the northern margin of the Precaspian Basin. These carbonate successions are dominantly shallow-marine carbonate sediments that are covered with widespread Permian salt deposits. This study contributes to the reservoir preservation in a relatively closed diagenetic system, which developed in a ramp setting during early Carboniferous time. Through detailed petrographic studies of 370 m of cores and 316 rock samples (as thin sections), nine lithofacies were identified within the study area. These … Lire la suite
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2014 — Petrography and Diagenesis of Cambrian Dolomite in Tabei Uplift, Northern Tarim Basin, ChinaRésumé
The Tabei Uplift, located in the northern Tarim Basin, northwest China, contains the most productive hydrocarbon reservoirs. The late Cambrian strata in the Tabei Uplift present a succession of restricted platform and platform margin carbonates, which are mostly dolomitized. Based on an integrated multidisciplinary approach which incorporated one hundred and fourteen meters of core descriptions from seven wells, one hundred and fifty-two thin-section petrography studies, cathodoliuminescense microscopy examination, trace element analysis, stable and radiogenic isotopic analysis and fluid inclusion analysis, the dolomites are interpreted as: Type 1 dolomite is microcrystal to very fine-crystalline replacement dolomite associated with mudstone, wackestone and … Lire la suite
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2013 — Decoherence of Quantum Markov SystemsRésumé
The main purpose of this thesis is to discuss quantum decoherence in the frame- work of operator algebras. We will define several types of decoherence of quantum Markov systems based on the original notion introduced by Ph. Blanchard and R. Olkiewicz; then we will give a number of suffiecient conditions for a quantum Markov system to display decoherence, and explain the relation between them. Lire la suite