4,431 research outputs found

    Seeing the invisible: from imagined to virtual urban landscapes

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    Urban ecosystems consist of infrastructure features working together to provide services for inhabitants. Infrastructure functions akin to an ecosystem, having dynamic relationships and interdependencies. However, with age, urban infrastructure can deteriorate and stop functioning. Additional pressures on infrastructure include urbanizing populations and a changing climate that exposes vulnerabilities. To manage the urban infrastructure ecosystem in a modernizing world, urban planners need to integrate a coordinated management plan for these co-located and dependent infrastructure features. To implement such a management practice, an improved method for communicating how these infrastructure features interact is needed. This study aims to define urban infrastructure as a system, identify the systematic barriers preventing implementation of a more coordinated management model, and develop a virtual reality tool to provide visualization of the spatial system dynamics of urban infrastructure. Data was collected from a stakeholder workshop that highlighted a lack of appreciation for the system dynamics of urban infrastructure. An urban ecology VR model was created to highlight the interconnectedness of infrastructure features. VR proved to be useful for communicating spatial information to urban stakeholders about the complexities of infrastructure ecology and the interactions between infrastructure features.https://doi.org/10.1016/j.cities.2019.102559Published versio

    High & Low Resolution Techniques to Solve Protein Structures

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    Protein structure and dynamics form the platform on which almost all biomedical research is currently based, including hot topics like computer-aided drug design and established problems like creating a cure for cancer. Since most proteins are too small to visualize with even an electron microscope, biochemists must use either NMR spectroscopy or x-ray diffraction to determine what the structures look like. In my lab, we combine both techniques to describe fundamentally how normal and mutated proteins behave in muscle cells. We are specifically interested in the structural protein obscurin. This giant muscle protein helps to organize muscle cells, sense muscle injury, and provide support for force generation; it is necessarily both flexible and strong. Here I will talk about ongoing efforts to solve the high-resolution protein structures of discrete regions of obscurin, and how each of these domains encodes specificity to specific binding partners. I will also discuss the shape of the entire obscurin molecule in solution, and how dynamics of this system likely contributes to normal muscle physiology

    Entropy as a Method for Identifying Treatment Resistant Autism Spectrum Disorder

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    Background: Individuals diagnosed with Autism Spectrum Disorder (ASD) experience lifelong challenges which can impact peer relationships, adaptive functioning, and independent living. Verbal intelligence has proven to be the strongest indicator of outcomes and responsiveness to behavioral intervention, but this property only stabilizes in children between 6 and 8 years of age. Behavioral treatment is the primary intervention for individuals diagnosed with ASD, but it is most effective when delivered as an early intervention strategy for toddlers and very young children. A biomarker which could distinguish treatment resistant subgroups of ASD from would allow for the development and implementation of alternative treatments in an attempt to improve long term outcomes. Methods: Our study used data from 49 participants made available through the National Database for Autism Research (NDAR). The sample group contained children between 4 and 11 years of age diagnosed with ASD and typically developing peers. Our study used EEG and behavioral measures to explore whether sample entropy analysis of EEG, as developed by Bosl et al. (2011), could distinguish between individuals with ASD and low verbal IQ from their average verbal and typically developing peers. Results: The analysis we performed found that higher levels of sample entropy were correlated with lower ASD symptoms and better adaptive functioning. ANOVA analysis also suggested that sample entropy could distinguish ASD and typically developing children. Sample entropy was not correlated with verbal IQ and could not distinguish the ASD low verbal IQ group from both ASD with average verbal IQ and typically developing groups. Conclusion: Researchers interested in identifying biomarkers for treatment resistant ASD should look beyond sample entropy for reliable measures. Sample entropy does appear to play a role in autistic symptomatology, and greater research into its role as a possible indicator of underlying neurological abnormalities should be explored. Researchers may also find value in including sample entropy in longitudinal studies to see how this measure changes with behavioral improvements as a result of behavioral treatment

    Air Vent Sizing in Low-Level Outlet Works for Small- to Medium-Sized Dams

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    The majority of dams contain low-level outlet works, which typically consist of closed conduits that run through the dam, and are used to release water from the reservoir when the water level is below the level of the surface spillways. It is also used to flush the reservoir of sediments and to control the elevation of the reservoir. Low-level outlet works typically consist of a gate that controls the flow within a closed conduit that runs through the dam and an air vent that supplies air behind the gate. In the absence of properly designed air vents, negative pressures may develop downstream of the gate. These negative pressures could potentially lead to cavitation and vibration damage. Properly sized air vents help maintain the downstream air pressure at or near atmospheric pressure and/or provide air to absorb the energy generated by cavitation, reducing the potential for damage. The majority of research done on air vent sizing is for dams having large dam geometry, which consist of a pressurized conduit leading to a vertical slide gate that is followed by a discharge tunnel. The typical air vent design for these large dams uses the water flow rate and the Froude number measured at the vena contracta downstream of the gate. The low-level outlet works for small-to-medium-sized embankment dam geometries typically have an inclined slide gate, installed at the inlet on the upstream face of the dam slope, followed by an elbow that connects to a conduit that passes through the dam and discharges downstream. This type of outlet geometry does not produce the typical vena contracta. Consequently, the use of the Froude number, at the vena contracta , as a characteristic parameter for characterizing airflow demand is not practical. Recently a laboratory study was performed calculating the head-discharge characteristics of low-level outlets for small-to-medium sized dam geometries. In addition to validating some of the previous laboratory-scale air venting research, the objective of this study was field verification of air-demand/air vent sizing predicted by the laboratory-based method. The influence of conduit slope, air port location, and hydraulic jumps on air demand was also evaluated in the laboratory. The findings of this study can be found within this thesis

    Greater London in the 21st century : assessing coastal flooding mitigation preparedness and regional population risk in the face of projected sea-level rise.

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    Recent projections of +6-9m sea-level rise (SLR) over the next several decades present many social challenges for coastal regions during the 21st century. These projections were applied to Greater London, UK as areal interpolated historical census data was overlaid on a 50m DEM alongside a polyline projection of the Thames Barrier. Population was projected to milestones of 2041, 2071, and 2101 using a capped, aggregated growth rate for each polygon while SLR was simulated for 1m, 5m, and 9m scenarios. The Thames Barrier maintained integrity for 1m and 5m scenarios but was breached at 9m. Population continued to increase in vulnerable areas as the floodplain expanded potential and presents a call to action for global authorities to both reduce social influences upon climate change and develop mitigative strategies to combat potential adverse effects during the 21st century

    Solar Absorption by Each Element in a Glazing/Shading Layer Array

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    ©2006, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www.ashrae.org). Published in ASHRAE Transactions, Volume 112, Part 2. For personal use only. Additional reproduction, distribution, or transmission in either print or digital form is not permitted without ASHRAE’s prior written permission.Window solar gain can strongly influence building energy consumption and peak cooling load. Shading devices such as venetian blinds, roller blinds, and drapes are routinely used to control solar gain. There is a strong need for models that allow shading layers to be included in glazing system analysis. This paper presents methods by which existing solar optical models for systems of specular glazing layers can be extended to include the effect of layers that create scattered, specifically diffuse, radiation in reflection and/or transmission. Spatially averaged optical properties (i.e., “effective” optical properties) can be used to characterize shading layers, including their beam-diffuse split. Solution techniques can be formulated on the basis of matrix reduction. However, an alternative technique has been developed with the goal of computational simplicity and speed. These attributes are important in the context of hour-by-hour building energy analysis. Sample calculations are presented.Natural Sciences and Engineering Research Council (Canada
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