48 research outputs found

    Wâhkôhtowin: the governance of good community-academic research relationships to improve the health and well-being of children in Alexander First Nation

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    Community-based participatory research (CBPR) is a promising decolonizing approach to health and social sciences research with First Nation Peoples. In CBPR, the use of a community advisory committee can act as an anchoring site for trusting reciprocal relationships, collaborative decision-making, and co-learning and co-creation. Through a qualitative case study, this article illustrates the collective experiences of a well-established, multidisciplinary, and intersectoral committee that reviews, monitors, and guides multiple research projects in a First Nation community in Canada. Participants of the Alexander Research Committee (ARC) share examples of the value of fostering a high level of commitment to building both positive working relationships and learning spaces that ultimately result in research and policy impacts for their community

    Subterranean, herbivore-induced plant volatile increases biological control activity of multiple beneficial nematode species in distinct habitats

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    While the role of herbivore-induced volatiles in plant-herbivore-natural enemy interactions is well documented aboveground, new evidence suggests that belowground volatile emissions can protect plants by attracting entomopathogenic nematodes (EPNs). However, due to methodological limitations, no study has previously detected belowground herbivore-induced volatiles in the field or quantified their impact on attraction of diverse EPN species. Here we show how a belowground herbivore-induced volatile can enhance mortality of agriculturally significant root pests. First, in real time, we identified pregeijerene (1,5-dimethylcyclodeca-1,5,7-triene) from citrus roots 9-12 hours after initiation of larval Diaprepes abbreviatus feeding. This compound was also detected in the root zone of mature citrus trees in the field. Application of collected volatiles from weevil-damaged citrus roots attracted native EPNs and increased mortality of beetle larvae (D. abbreviatus) compared to controls in a citrus orchard. In addition, field applications of isolated pregeijerene caused similar results. Quantitative real-time PCR revealed that pregeijerene increased pest mortality by attracting four species of naturally occurring EPNs in the field. Finally, we tested the generality of this root-zone signal by application of pregeijerene in blueberry fields; mortality of larvae (Galleria mellonella and Anomala orientalis) again increased by attracting naturally occurring populations of an EPN. Thus, this specific belowground signal attracts natural enemies of widespread root pests in distinct agricultural systems and may have broad potential in biological control of root pests.info:eu-repo/semantics/publishedVersio

    High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation

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    Dry Sliding Wear Behavior of Copper Matrix Composites Enhanced with TiO2 and MoS2 Hybrids

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    The paper deals with the properties of copper-based composites. Copper is contributing to the field of automobiles and aerospace industries. The tribological properties of copper are not found to be satisfactory, which may be attributed to the support of producing copper matrix composites with extensive investigations into their properties. Coper-based hybrid composites were fabricated by reinforcing titanium dioxide (TiO2) and molybdenum disulphide (MoS2) to enhance the wear and mechanical properties of copper composites. Three specimens were prepared by powder metallurgy process with the designations of Cu + 5wt.%TiO2, Cu + 5wt.%TiO2 + 2wt.% MoS2, and Cu + 5wt.% TiO2 + 4wt.% MoS2. The metallurgical analysis was done on the specimens using X-ray diffraction (XRD) analysis which confirms the presence and distribution of Cu, TiO2, and MoS2 particles in the specimens. The wear rate was studied on the specimens concerning the sliding velocity, load, and MoS2 content. The statistical analysis and Taguchi analysis highlight the influencing parameters on the wear rate of the material. Linear regression equations were developed to predict the wear rate using DoE. Through this analysis, the sliding velocity of 3 m/s, a load of 30 N, and a 4% addition of MoS2 were identified as the optimum parameters for the minimal wear rate. The wear mechanism was analyzed using scanning electron microscopy techniques to reveal the adhesion, delamination, and oxidation
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