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    3789 research outputs found

    Using Canadian migration monitoring network data to assess population changes in Canada Warbler (Cardellina canadensis)

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    The Canada Warbler (Cardellina canadensis) has been listed since 2010 as Threatened according to the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) due to significant and long-term declines in the global population. The cause of the decline over the past years cannot be narrowed down to one threat, but loss and degradation of habitat on the breeding and wintering grounds are one of the major threats. Tracking this species is extremely important and a role for bird banding at observatories occurs during migration, for example at the Long Point Bird Observatory in Ontario. Data from this bird observatory was chosen to analyze spring and fall population trends for the Canada warbler using the database in NatureCounts, along with using the two COSEWIC documents, to explore whether threats to this species have changed or have stayed the same since 2010. The COSEWIC reports list the same threats, including habitat loss, vulnerability to highways, forestry practices and pollutants. However, climate change is discussed more in the most recent report. Combined with the fact that since listing, the Canada Warbler population is continuing to decline, I conclude that threats are increasing because of increasing effects of climate change

    Improving cataract surgery procedure using machine learning and thick data analysis

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    Cataract surgery is one of the most frequent and safe Surgical operations are done globally, with approximately 16 million surgeries conducted each year. The entire operation is carried out under microscopical supervision. Even though ophthalmic surgeries are similar in some ways to endoscopic surgeries, the way they are set up is very different. Endoscopic surgery operations were shown on a big screen so that a trainee surgeon could see them. Cataract surgery, on the other hand, was done under a microscope so that only the operating surgeon and one more trainee could see them through additional oculars. Since surgery video is recorded for future reference, the trainee surgeon watches the full video again for learning purposes. My proposed framework could be helpful for trainee surgeons to better understand the cataract surgery workflow. The framework is made up of three assistive parts: figuring out how serious cataract surgery is; if surgery is needed, what phases are needed to be done to perform surgery; and what are the problems that could happen during the surgery. In this framework, three training models has been used with different datasets to answer all these questions. The training models include models that help to learn technical skills as well as thick data heuristics to provide non-technical training skills. For video analysis, big data and deep learning are used in many studies of cataract surgery. Deep learning requires lots of data to train a model, while thick data requires a small amount of data to find a result. We have used thick data and expert heuristics to develop our proposed framework.Thick data analysis reduced the use of lots of data and also allowed us to understand the qualitative nature of data in order to shape a proposed cataract surgery workflow framework

    The phase behaviour of isopropanol/water/NaCl mixtures at atmospheric pressure

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    Alcohol-based biofuels will play a key role in substituting the fossil fuels used in transportation and power generation. Compared to fossil fuels, alcohol-based biofuels have a lower carbon footprint and can be produced from the fermentation of biomass. Moreover, some branched alcohols have similar properties to those of gasoline which makes them suitable chemicals to produce gasoline-like biofuels. To produce high-purity fuel-grade alcohols, the produced alcohol must be separated from the aqueous fermentation broth usually through distillation. However, distillation is an energy-intensive operation with a high carbon footprint; and the presence of azeotropes of alcohol/water makes distillation very expensive and technically challenging. The addition of some salts to the fermentation broth triggers a liquid-liquid phase splitting. One of the liquid phases is rich in alcohol and the other is rich in water. Therefore, understanding the phase behaviour of alcohol/water/salt mixtures is very important in the design of liquid-liquid operations for alcohol production. [...

    Evaluating the effects of biomass harvesting on soil nutrient availability, foliar nutrition, and seedling growth in third-growth black spruce plantations in northwestern Ontario

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    Residual forest biomass is a viable feedstock that can be used in the bioenergy stream. There remains, however, a concern that excessive removal of forest biomass may have negative impacts on forest biodiversity, stand regeneration, tree growth, soil nutrient availability, and foliar nutrition. This study examines the effects of different amounts of biomass removed from clear-cut harvested, 2nd growth black spruce (Picea mariana) plantations. The specific questions addressed in this study were: 1. How does the level of biomass retention influence seedling growth? 2. Are there measurable differences in soil N availability across a gradient of biomass removals? 3. Are any of the differences in soil N availability reflected in seedling foliar N concentrations or content? The study was conducted on two black spruce plantations that were planted in 1962, and clearcut harvested in 2007. The sites represented contrasting soil types (i.e., clay versus loam). Six biomass retention treatments were applied in 15 x 15m treatments across 3 blocks at each site that represented a gradient of C (0 โ€“ 22 Mg ha-1 ) and N (0 โ€“ 325 kg ha-1 ) retention levels. PGPs (100 m2 ) were established in each treatment plot, with tree measurements, foliar, and soil sampling done every 5 years up to year 15. The results showed that biomass removal had little effect on the stand and soil condition in both sites out to 15 years since establishment. The most significant results were the differential responses across soil types, with the clay site having better growth, soil N availability, and foliar N concentrations. These results suggest that proper management and timing of the additional removal of biomass as bioenergy feedstock are unlikely to have significant negative effects on stand development and early growth

    18F Radiolabeling of epidermal growth factor receptor-tyrosine kinase inhibitor anti-cancer drugs for therapeutic outcome studies

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    Epidermal growth factor receptor is a transmembrane protein with tyrosine kinase activity that plays a vital role in the proliferation, differentiation, and survival of normal cells. When mutations in this protein occur, they can cause cancer in which there is currently no cure. Epidermal growth factor receptor-tyroine kinase inhibitor anticancer drugs are available to treat the cancer and allow progression free survival. Not all patients will benefit from this targeted therapy and therefore knowing the mutation status before administering EGFR-TKIs is important. PET imaging can be used to determine level of expression and mutation status instead of repeated invasive biopsies. The problem with these drugs is that resistance is typically seen within 18 months from the start of treatment, therefore this project aims to develop a tracer to be used with positron emission tomography imaging for therapeutic outcome studies to monitor resistance of these drugs in patients. [...

    The effects different commercial thinning treatments have on black spruce diameter, height, basal area and volume

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    Commercial thinning is a potential opportunity for forest managers to realize mid rotation wood volume while stimulating increased growth of residual trees for the final harvest. The practice of commercial thinning is, however, not a common practice in Ontario due to lack of experience and scientific evidence. This thesis evaluates the effects of four different thinning treatments on two different black spruce (Picea Mariana) boreal forest sites10 years following commercial thinning. The four treatments were analyzed from a commercial thinning operational study conducted in northwestern Ontario in 2007. Analysis included; diameter at breast height (DBH), basal area, height and volume. Two factor ANOVA tests indicated significant effects of treatment or treatment by site interactions showed direct and strong evidence that the thinning treatments had effects. Significant site effects from the ANOVA tests also tells us that there is a difference in the variables we measured between sites. Commercial thinning does show promise and these legacy sites are a unique research opportunity deserved of ongoing study to further understand the treatment effect thru to final rotation age

    Medical text simplification: bridging the gap between medical research and public understanding

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    Text Simplification is a subdomain of Natural Language Processing that focuses on applying computational techniques to modify the content and structure of the text to make it interpretable while retaining the main idea. The advancements in text simplification research have provided valuable benefits to a wide range of readers, including those with learning disabilities and non-native speakers. Moreover, even regular readers who are not experts in fields such as medicine or finance have found text simplification techniques to be useful in accessing scientific literature and research. This thesis aims to create a text simplification approach that can effectively simplify complex biomedical literature. Chapter 2 provides an insightful overview of the datasets, methods, and evaluation techniques used in text simplification. Chapter 3 conducts an extensive bibliometric analysis of literature in the field of text simplification to understand research trends, find important research and application topics of text simplification research, and understand shortcomings in the field. Based on the findings in Chapter 3, we found that the advancements in text simplification research can have a positive impact on the medical domain. The research in the field of medicine is constantly developing and contains important information about drugs and treatments for various life threatening diseases. Although this information is accessible to the public, it is very complex in nature, thus making it difficult to understand

    Comparison of Picea mariana, Abies balsamea, Betula papyrifera, Populus tremuloides for the production of wood pellets

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    Scientists and international organisations agree that wood pellets are a type of biofuel that is better for the environment than fossil fuels. Wood pellets are produced from the residues in sawmills, ground logs and is a renewable energy. Therefore, in this research we focus on the comparison of four tree species, Picea mariana (Mill.) BSP., Abies balsamea (L.) Mill., Betula papyrifera Marsh., Populus tremuloides Michx. with their carbon content, thermal properties, and density to identify which species can produce the best wood pellets according to the results that we obtain from the studies. In this study we use ASTM standards to test the various properties of the wood and to compare and analyze. It was found that Abies balsamea, displayed the best properties to produce wood pellets due its significant properties compared to the other three species

    An overview and update of low-impact developments (LIDS) in Thunder Bay

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    Climate change is accelerating at a rapid pace across the globe and with this, flooding in urban environments is also increasing. This means that there is and will be an increasing need for alternative methods of stormwater management. Low impact developments (LIDs) are a green way that cities can manage their stormwater. Thunder Bay has been incorporating LIDs into the stormwater management process to improve its ability to handle urban runoff and prevent flooding. This paper will provide an overview of the LIDs within the city and describe how they function and their benefits. This information can be used to further understand the benefits of LIDs and how they can be implemented in various cities

    Dynamic stability of piles under earthquake with fractional damping foundation

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    Pile foundation is an essential structural component in civil engineering. The failure of a pile foundation under an earthquake may result in significant economic consequences, such asinterruption of transportation, property damage and failure, or even loss of lives. So, dynamic stability of piles is one of the emerging research topics for civil engineers. Due to the excessive use of fractional models in research during recent years, which shows more compatibility of results with experimental models, and a lack of fractional models usage in the field of pile stability, this thesis investigates dynamic stability of piles under periodic earthquake loading, considering the Winkler mechanical model with fractional damping for the surrounding soil media. During this research, an approximate theoretical and a numerical method are developed to study dynamic stability behavior and vibration responses of piles with fractional damping foundations under earthquake. Solving the equation of motion of a pile loaded by axial periodic load leads to fractional Mathieu differential equations. The approximate method is based on the Bolotin method and results in two matrices of coefficients. Putting determinants of matrices equal to zero results in different orders of approximation for finding instability regionsโ€™ boundary. On the other hand, the numerical method is introduced by using block-pulse functions to calculate the vibration response of pile under the periodic load. Based on the numerical method, instability regions are generated, and results are used to validate different orders of approximation for each instability region. [...

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