622 research outputs found

    Community Unionism: Organising for Fair Employment in Canada

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    More Canadian workers are in and out of work or in insecure jobs, prompting the (re)emergence of community unionism. We understand community unionism as a form of mobilization that occupies the centre range along a continuum of community organizing and trade union organizing. After contrasting the currently dominant model industrial unionism to the process-oriented community development mode of organizing, we illustrate the power of drawing on elements of both trade union and community organizing with a case study of Toronto Organizing for Fair Employment (TOFFE). Community unionism, like efforts of union renewal, can help build a stronger labour movement

    Race/ethnicity and gender differences in drug use and abuse among college students

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    This study examines race/ethnicity and gender differences in drug use and abuse for substances other than alcohol among undergraduate college students. A probability-based sample of 4,580 undergraduate students at a Midwestern research university completed a cross-sectional Web-based questionnaire that included demographic information and several substance use measures. Male students were generally more likely to report drug use and abuse than female students. Hispanic and White students were more likely to report drug use and abuse than Asian and African American students prior to coming to college and during college. The findings of the present study reveal several important racial/ethnic differences in drug use and abuse that need to be considered when developing collegiate drug prevention and intervention efforts.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377408/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377408/Accepted manuscrip

    Precarious Employment in the Canadian Labour Market: A Statistical Portrait

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    'Precarious employment' is a better concept for understanding labour market insecurity than the dominant concept in Canada, 'non-standard work.' We examine dimensions of precariousness between and within mutually exclusive forms of employment. The growth of 'non-standard work' is fuelled by increases in forms of employment that lack regulatory protection, such as own- account self-employment. Wage work falls along a continuum of precariousness measured as regulatory protection, control and income. Finally, employment in precarious forms is shaped by social location. White men are concentrated in the least precarious forms of employment, while white women, women of colour and youth are concentrated in the more precarious forms

    Self-folding and aggregation of amyloid nanofibrils

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    Amyloids are highly organized protein filaments, rich in β-sheet secondary structures that self-assemble to form dense plaques in brain tissues affected by severe neurodegenerative disorders (e.g. Alzheimer's Disease). Identified as natural functional materials in bacteria, in addition to their remarkable mechanical properties, amyloids have also been proposed as a platform for novel biomaterials in nanotechnology applications including nanowires, liquid crystals, scaffolds and thin films. Despite recent progress in understanding amyloid structure and behavior, the latent self-assembly mechanism and the underlying adhesion forces that drive the aggregation process remain poorly understood. On the basis of previous full atomistic simulations, here we report a simple coarse–grain model to analyze the competition between adhesive forces and elastic deformation of amyloid fibrils. We use simple model system to investigate self-assembly mechanisms of fibrils, focused on the formation of self-folded nanorackets and nanorings, and thereby address a critical issue in linking the biochemical (Angstrom) to micrometre scales relevant for larger-scale states of functional amyloid materials. We investigate the effect of varying the interfibril adhesion energy on the structure and stability of self-folded nanorackets and nanorings and demonstrate that these aggregated amyloid fibrils are stable in such states even when the fibril–fibril interaction is relatively weak, given that the constituting amyloid fibril length exceeds a critical fibril length-scale of several hundred nanometres. We further present a simple approach to directly determine the interfibril adhesion strength from geometric measures. In addition to providing insight into the physics of aggregation of amyloid fibrils our model enables the analysis of large-scale amyloid plaques and presents a new method for the estimation and engineering of the adhesive forces responsible of the self-assembly process of amyloid nanostructures, filling a gap that previously existed between full atomistic simulations of primarily ultra-short fibrils and much larger micrometre-scale amyloid aggregates. Via direct simulation of large-scale amyloid aggregates consisting of hundreds of fibrils we demonstrate that the fibril length has a profound impact on their structure and mechanical properties, where the critical fibril length-scale derived from our analysis of self-folded nanorackets and nanorings defines the structure of amyloid aggregates. A multi-scale modeling approach as used here, bridging the scales from Angstroms to micrometres, opens a wide range of possible nanotechnology applications by presenting a holistic framework that balances mechanical properties of individual fibrils, hierarchical self-assembly, and the adhesive forces determining their stability to facilitate the design of de novo amyloid materials.United States. Office of Naval Research (Grant NN00014-08-1-0844)National Science Foundation (U.S.). Materials Research Science and Engineering Centers (Program) (Grant DMR-0819762)United States. Army Research Office. Multidisciplinary University Research Initiative (Grant W911NF-09-1-0541

    Evidence for self-sustained MoSi2 formation during room-temperature high-energy ball milling of elemental powders

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83393/1/Ma_JMR.pd

    A single degree of freedom ‘lollipop’ model for carbon nanotube bundle formation

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    Current carbon nanotube (CNT) synthesis methods include the production of ordered, free-standing vertically aligned arrays, the properties of which are partially governed by interactions between adjacent tubes. Using material parameters determined by atomistic methods, here we represent individual CNTs by a simple single degree of freedom ‘lollipop’ model to investigate the formation, mechanics, and self-organization of CNT bundles driven by weak van der Waals interactions. The computationally efficient simple single degree of freedom model enables us to study arrays consisting of hundreds of thousands of nanotubes. The effects of nanotube parameters such as aspect ratio, bending stiffness, and surface energy, on formation and bundle size, as well as the intentional manipulation of bundle pattern formation, are investigated. We report studies with both single wall carbon nanotubes (SWCNTs) and double wall carbon nanotubes (DWCNTs) with varying aspect ratios (that is, varying height). We calculate the local density distributions of the nanotube bundles and show that there exists a maximum attainable bundle density regardless of an increase in surface energy for nanotubes with given spacing and stiffness. In addition to applications to CNTs, our model can also be applied to other types of nanotube arrays (e.g. protein nanotubes, polymer nanofilaments).National Science Foundation (U.S.). Materials Research Science and Engineering Centers (Program) (Award DMR-0819762

    Potential methodological influences on the determination of particle retention efficiency by suspension feeders: Mytilus edulis and ciona intestinalis

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    The retention efficiency (RE) of suspension-feeding bivalve molluscs depends on particle size and is generally assumed to decline below a maximum retention of particles larger than 3 to 7 µm. Previous suggestions that the RE spectrum of mussels Mytilus edulis can exhibit variability, possibly as a result of physiological regulation, have been attributed to artifacts associated with the indirect method. The possibility that variable physical properties of seston particles and/or miscalculations can result in inaccurate RE measurements was examined using 3 methodologies (static, flow-through and a new approach based on the static method) and 3 particle sources (natural seston, algal cell monocultures and clay). Measurements obtained with the static method varied depending on the selected sampling interval. However, this artifact can be removed using frequent sampling and a regression analysis approach. Accurate RE measurements can be obtained with the flow-through method when feeding behaviour is flow independent. For all particle suspensions and methods, mussels from the study site in Lysefjord, Norway, had a maximum RE for particles >8–11 µm (1 to 5 September 2015). The RE for smaller particles declined gradually, with 50–60% retention of 4 µm particles and 30–40% retention of 2 µm particles. Differences in the RE size spectra of mussels and tunicates Ciona intestinalis, collected and measured at the same site, further indicated that RE was not influenced by potentially confounding methodological factors. Assumptions regarding the RE spectrum of bivalves have contributed to many conclusions on their ecosystem interactions. The reliability of clearance rate measurements obtained using the indirect method can only be assured if the effective retention of tracer particles is confirmed and not assumed.publishedVersio
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