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    Herpetofauna in Rondeau Provincial Park, Ontario, Canada: comments on sample methodology and forest disturbance

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    Habitat selection in herpetofauna in Rondeau Provincial Park (RPP) around roads and human structures in built areas were described alongside recommendations on cover board material for their survey. The first objective was to ascertain differences among captures between cover board types: 1.5-inch (3.8 cm) thick, but smaller, spruce boards or 0.5-inch (1.3 cm) thick plywood boards. The second objective was to report on insights on cover board arrangement for maximum captures and appropriate seasons for herpetological surveys in the RPP region. A third objective was to determine how distance to nearest road or distance to the nearest artificial structure might influence captures. Cover boards were classified by type and frequency of capture across eight common species in RPP. Significantly higher captures than expected by the area from which all traps were drawing indicated patterns of selection. The period over which peak captures occurred was plotted for each species against temperature trends over the 2014 season. Species preferring moist habitats were attracted to a more insulating board that mimics damp microclimates; those preferring dry habitats were ready to use a less insulating plywood board. Model selection based on Akaike’s Information Criterion (AIC) for small samples was used to find habitat associations for five species with sufficient captures in forest and built areas, distance to the nearest road, and distance to identified buildings in the cottage development. Roads created a significant apparent deterrent to the herpetofauna in RPP. As the climate changes, herpetofauna will be forced to change their activity seasons. The trends illustrated in RPP indicated that small, cryptic species of lizards could survive anthropogenic disturbance and even find overnight refuge in anthropogenic areas

    Evolutive fracture behavior of cemented paste backfill

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    Underground mining is a key global industry that produces many of the mineral resources needed by several sectors of the economy. However, underground mining extracts large volumes of material from below the ground, which not only creates substantial subsurface voids, bult also produces high volumes of solid waste. Consequently, the potentially catastrophic failure of underground openings and environmental issues such as acid mine drainage has attracted increasing attention. To ensure the safety of mining workers and equipment and sustainably reuse the mine waste materials, cemented paste backfill (CPB, an engineered mixture of tailings, hydraulic binder, and water) technology has been widely adopted in underground mines around the world. Since CPB materials are used as the key ground support measure, the mechanical behaviors and properties play crucial roles in the safe design of CPB under complex field loading conditions. As a type of cementitious materials, the failure process is governed by the development of tensile and shear crack in CPB matrix under various loading conditions. Meanwhile, due to the progression of cement hydration, CPB materials also demonstrate curing time-dependent evolution of mechanical behaviors and properties. Moreover, a considerable amount of water is utilized to prepare the CPB paste and thus affects the particle interaction and cement hydration. Therefore, it is of theoretical and practical importance to investigate the effect of mix recipe and hydraulic factors on the evolutive fracture behavior and properties of CPB under mode-I (i.e., tensile stress), mode-II (in-plane shear stress), and mode-III (out-of-plane shear stress) loading conditions at different curing times. However, previous studies focus mainly on the conventional geomechanical behaviors, including compressive, tensile, and shear behaviors, of CPB. [...

    Genetic variation of functional traits related to drought tolerance in yellow birch seedlings

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    Understanding patterns of variation in drought-related traits of hardwood trees is crucial for conserving and managing North American temperate forests under climate change. In this study, I examined provenance variation of yellow birch (Betula alleghaniensis Britton) in traits related to drought resistance. Yellow birch is a widespread and economically important eastern North American hardwood species. A common garden approach was used to compare height, diameter, biomass, leaf morphology, and stable carbon isotopes among ten seed sources originating from across Canada and Northern US states. Analysis of variance (ANOVA) of seedling height and diameter did not reveal significant variation in either trait, while ANOVA of a subsample (n=40) revealed significant variation in height and leaf characters (average horizontal width, horizontal width, maximum perpendicular width, perpendicular width 1, and perpendicular width 2). Simple linear regressions revealed significant correlations between variation in leaf morphological traits and climate at seed origin. Temperature-related climate variables were more strongly correlated with leaf traits than precipitation-related climate variables. [...

    Effect of sulfate content on the evolutive fracture behavior and properties of fiber-reinforced cemented paste backfill

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    Backfilling technology is utilized globally to improve ore recovery, reduce mine-generated waste, and provide stability to underground voids. Cemented paste backfill (CPB), a mixture of mine tailings, cement binder, and mixing water is the desired method of backfilling. After filling the underground space (called a stope), CPB is required to provide ground resistance to the surrounding rock walls, be used as a roof for continued mining operations, or a floor for underground mine workers and equipment. A challenge to the use of CPB is the vast quantities of sulfide minerals such as pyrite and pyrrhotite containing irons present in the waste mine tailings. The sulfate anions generated from the oxidation of sulfide minerals not only interfere with the progression of cement hydration but also produce expansive hydration products, including gypsum and ettringite. As a result, the sulfate anions are able to change the microstructure and macroscale geomechanical behavior and material properties of the CPB materials. Therefore, it is of theoretical and practical importance to fully consider sulfate-induced evolution of mechanical behavior and properties of CPB materials. Moreover, the ability to extract ore up to the CPB pillar provides benefits to the profitability of the mine. However, mine stopes may reach enormous depthsin excess of 100m into the earth. Therefore, the CPB is not only subject to the internal chemical effects of the sulfide minerals but also to the complex loading conditions present within the mine stope. As a type of brittle material, the failure processes in the CPB matrix are governed by crack propagation under field loading conditions. Such an event will not only reduce mine profitability but can also potentially be life-threatening to the underground workers. As a method to mitigate such risk, fiber reinforcement (FR-CPB) is a promising approach. Hence, it is crucial to systematically investigate the effect of sulfate solution on the tensile and fracture behavior and properties of fiber-reinforced CPB materials. [...

    Geomechanical behaviour of fibre-reinforced cemented paste backfill under cyclic loading conditions

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    Cemented paste backfill (CPB) is considering a promising mine backfilling technology with several technical, environmental, and economic benefits for the underground mining operation. After placed into underground voids (termed stopes), the hardened CPB mass is required to provide reliable ground support to control ground pressure and limit surface subsidence. However, due to the complex field loading conditions, CPB mass may experience dynamic loadings induced by mining activities (such as drilling, blasting, and mechanical excavation) and seismic events. However, as a soft cementitious material, aged CPB is highly brittle in nature and also featured with poor strain-hardening capabilities, the low tensile strength, and weak post- peak resistance. As a result, the in-situ CPB mass may undergo catastrophic failure under complex field dynamic loading condition. This highlights the complexity of loading conditions in-situ and the need to improve the mechanical stability and performance of CPB. Consequently, fiber reinforcement has recently attracted increasing attention in the improvement of the geomechanical behavior and performance of CPB. The benefits of small fiber inclusions on the mechanical performance of cementitious composites under quasi-static loading conditions and fiber reinforced cementitious composites (FRCCs) under cyclic loading conditions have been fairly established by previous researchers. However, there are no studies that have systematically studied the application of fiber reinforcement in CPB technology under cyclic loading conditions. The purpose of this thesis research is to study the geomechanical behavior of fiber- reinforced cemented paste backfill (FR-CPB) under cyclic loading conditions. This body of work studies the effects of fiber inclusion on the evolutive cyclic compressive and tensile behaviors and mechanical properties of FR-CPB. Curing time, fiber length and fiber content were used to study the evolution of FR-CPB’s mechanical properties, including hysteretic energy dissipation, secant modulus, degraded stress, and damping index. Cyclic stress-strain data reveals that the geomechanical behavior of FR-CPB is highly influenced by curing time. Aging of FR-CPB results in a strengthened fiber-bridging effect leading to improvement in composite strength and, thus, load carrying capacity through full realization of the cement hydration process. [...

    Enhancing machine vision using human cognition from EEG analysis

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    Visual classification is the perceptible/computational effort of arranging objects and visual contexts into distinct labels. Humans and machines have mastered this advanced problem in their own varied contexts. However, certain aspects inherent to the variability of the visual stimuli present need to be overcome. This thesis analyses the different dimensions of visual classification using a combination of human cognition and machine vision. Thus, it presents novel approaches to joint multimodal learning for machine-learnt visual features and features learnt using brain-visual embeddings via EEG. First, the thesis proposes a pipeline structure of grayscale image-based encoding of brainevoked EEG signals as a spatio-temporal feature for improved data convergence. This encoding results in a new benchmark performance of 70% accuracy in multiclass EEG-based classification (40 classes, a challenging benchmark EEG-ImageNet dataset) due to the inclusion of a stretched spatial space that accommodates all the responses of visual stimuli in a single visual sample. As a second contribution, it develops a new approach for cross-modal deep learning based on the concept of model concatenation. This unique model uses a mixed input of deep features from the image and brain-evoked EEG data encoded with a grayscale image encoding scheme. [...

    Assessment using TerrSet geovisualisation of the temporal and spatial effectiveness of the prescribed burn program in re-establishing the oak savannah habitat at the Pinery Provincial Park

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    Oak savannah is a plant community of widely spaced deciduous trees with a canopy cover of between 25 to 35%, allowing grasses and other ground cover vegetation to thrive, providing habitats for numerous plant and animal species, including many endangered species. Historically, oak savannah covered large areas across North America but only 1% of these habitats still remain. Today, almost half of the oak savannah habitat in North America is found at the Pinery Provincial Park in Southern Ontario, but this has been threatened due to fire suppression, overgrazing and pine planting. Programs have been developed to re-establish the oak savannah at the Pinery, using a combination of deer population control, pine removal and prescribed burns. This thesis uses field observations together with TerrSet geovisualisation tools, satellite photographic records, and field mapping data to assess the temporal and spatial effectiveness of the programs to re-establish the oak savannah at the Pinery, and it makes future projections out to 2032. The results indicate that the oak savannah at the Pinery has been recovering since 2007, but forward projection indicates this may decline by 2032 unless a more intensive and frequent program of prescribed burns is adopted

    Holistic resource management in UAV-assisted wireless networks

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    Unmanned aerial vehicles (UAVs) are considered as a promising solution to assist terrestrial networks in future wireless networks (i.e., beyond fifth-generation (B5G) and sixth-generation (6G)). The convergence of various technologies requires future wireless networks to provide multiple functionalities, including communication, computing, control, and caching (4C), necessary for applications such as connected robotics and autonomous systems. The majority of existing works consider the developments in 4C individually, which limits the cooperation among 4C for potential gains. UAVs have been recently introduced to supplement mobile edge computing (MEC) in terrestrial networks to reduce network latency by providing mobile resources at the network edge in future wireless networks. However, compared to ground base stations (BSs), the limited resources at the network edge call for holistic management of the resources, which requires joint optimization. We provide a comprehensive review of holistic resource management in UAV-assisted wireless networks. Integrated resource management considers the challenges associated with aerial networks (such as three-dimensional (3D) placement of UAVs, trajectory planning, channel modelling, and backhaul connectivity) and terrestrial networks (such as limited bandwidth, power, and interference). We present architectures (source-UAV-destination and UAV-destination architecture) and 4C in UAV-assisted wireless networks. We then provide a detailed discussion on resource management by categorizing the optimization problems into individual or combinations of two (communication and computation) or three (communication, computation and control). Moreover, solution approaches and performance metrics are discussed and analyzed for different objectives and problem types. We formulate a mathematical framework for holistic resource management to minimize the linear combination of network latency and cost for user association while guaranteeing the offloading, computing, and caching constraints. Binary decision variables are used to allocate offloading and computing resources. Since the decision variables are binary and constraints are linear, the formulated problem is a binary linear programming problem. We propose a heuristic algorithm based on the interior point method by exploiting the optimization structure of the problem to get a sub-optimal solution with less complexity. Simulation results show the effectiveness of the proposed work when compared to the optimal results obtained using branch and bound. Finally, we discuss insight into the potential future research areas to address the challenges of holistic resource management in UAV-assisted wireless networks

    Evaluation of Anti-E6 Single Domain Antibodies for the Treatment of Human Papillomavirus-related Cancer

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    The HPV16 genome encodes two oncoproteins, E6 and E7, which are essential for viral carcinogenesis. While E7 promotes cell proliferation, E6 abolishes the resulting p53-dependent apoptotic response. We hypothesized that antibodies targeting the E6 protein will allow for p53 restoration and induce apoptosis of the infected cells. Our lab has previously generated a pool of 20 Camelidae-derived single-domain antibodies (VHHs) against the E6 protein (Togtema et al. 2019). VHHs have several properties making them well-suited for therapeutic purposes including low immunogenicity, high stability, and capacity to bind epitopes not accessible to any other type of antibody. In the current project, we used dot blots to evaluate the VHHs binding potential to various recombinant E6 proteins, identifying several successful VHH candidates. Co- immunoprecipitation using Affigel resin was used to confirm the VHH’s endogenous E6 binding capacity in CaSki cells. Therein, two clones, C26 and A37, were identified as efficient E6 binders, in triplicate. Interestingly, in denaturing Western Blot analyses, C26 was found to react with the maltose-binding protein (MBP)-containing proteins but not with E6 6C/6S lacking an MBP tag, supporting the hypothesis that C26 binds MBP or E6 through different parts of the antibody. To deliver the VHHs to target cells, cationic lipid-based protein transfection proved inadequate, however mRNA transfection resulted in improved transfection efficiency. Functional assays, including proliferation assays to assess cell proliferation, and immunodetection of p53 and PARP- 1 cleavage following mRNA transfection, were used to evaluate the VHH’s therapeutic potential. Our results indicate that further optimization of our molecules will be needed to yield VHHs with therapeutic potential, however, our methodology may serve as a template for other researchers, creating a pipeline of analysis for the evaluation of antibodies against the E6 protein

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