89 research outputs found

    Entrenando a la próxima generación de gerentes del riesgo de desastres a través de la investigación y enseñanza en sostenibilidad

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    Disaster risk management is an integral part of sustainability, and curricula that are focused on sustainability can be broadened to include disaster risk management. The David O’Brien Centre for Sustainable Enterprise at Concordia University researches and teaches disaster risk management through involvement in a collaborative project with the United Nations’ Future Earth network to develop a Sustainable Financial and Economic System Knowledge-to-Action Network (SFES-KAN). The definition of ‘sustainable’ in this context includes disaster risk management. The SFES-KAN aims to align the current financial system with the UN’s sustainable development goals by identifying research gaps and facilitating interdisciplinary research between academics, practitioners, and policymakers to fill those gaps. Our research on such topics as risk management and sustainable investing for the SFES-KAN project has translated into research on disaster risk management and has led to curriculum development on these topics. The goal of our paper is to provide other institutions with examples and strategic information on how to translate such interdisciplinary and solution-oriented sustainability research into research and curricula on disaster risk management.La gestión del riesgo de desastres es una parte integral de la sostenibilidad, y los currículos que se enfocan en la sostenibilidad pueden ser ampliados para incluir la gestión del riesgo de desastres. El David O’Brien Centre for Sustainable Enterprise de Concordia University investiga y enseña la gestión del riesgo de desastres a través de la participación en proyectos colaborativos de la red Future Earth de la Organización de las Naciones Unidas (ONU) para el desarrollo de una Red de “Conocimiento para la Acción” para un Sistema Económico Financiero y Sostenible (SFES-KAN). SFES-KAN busca alinear el sistema financiero actual con los Objetivos de Desarrollo Sostenible de la ONU por medio de la identificación de vacíos en la investigación y la facilitación de una investigación interdisciplinaria entre los académicos, profesionales y legisladores con el fin de llenar dichos vacíos. Nuestra investigación acerca de estos temas de gestión del riesgo e inversiones sostenibles, al igual que para el proyecto SFES-KAN, se ha convertido en investigación sobre gestión del riesgo de desastres y ha conducido al desarrollo curricular de estos temas. El objetivo de este artículo es el de brindar a otras instituciones ejemplos e información estratégica acerca de cómo traducir la investigación de sostenibilidad, interdisciplinaria y orientada a las soluciones, a investigación y currículos sobre gestión del riesgo de desastres

    Genetic characterization of clinical and agri-food isolates of multi drug resistant Salmonella enterica serovar Heidelberg from Canada

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    <p>Abstract</p> <p>Background</p> <p><it>Salmonella enterica </it>serovar Heidelberg ranks amongst the most prevalent causes of human salmonellosis in Canada and an increase in resistance to extended spectrum cephalosporins (ESC) has been observed by the Canadian Integrated Program for Antimicrobial Resistance Surveillance. This study examined the genetic relationship between <it>S</it>. Heidelberg isolates from livestock, abattoir, retail meat, and clinical human specimens to determine whether there was a link between the emergence of MDR <it>S</it>. Heidelberg in chicken agri-food sources and the simultaneous increase of MDR <it>S</it>. Heidelberg in human clinical samples.</p> <p>Results</p> <p>Chromosomal genetic homogeneity was observed by pulsed-field gel electrophoresis (PFGE), DNA sequence-based typing (SBT) and DNA microarray-based comparative genomic hybridization (CGH). Sixty one percent of isolates were indistinguishable by PFGE conducted using <it>Xba</it>I and <it>Bln</it>I restriction enzymes. An additional 15% of isolates had PFGE patterns that were closely related to the main cluster. SBT did not identify DNA polymorphisms and CGH revealed only genetic differences between the reference <it>S</it>. Typhimurium strain and <it>S</it>. Heidelberg isolates. Genetic variation observed by CGH between <it>S</it>. Heidelberg isolates could be attributed to experimental variation. Alternatively, plasmid content was responsible for differences in antimicrobial susceptibility, and restriction fragment length polymorphism (RFLP) analyses followed by replicon typing identified two divergent plasmid types responsible for ESC resistance.</p> <p>Conclusion</p> <p>Due to the overall limited genetic diversity among the isolates, it was not possible to identify variable traits that would be suitable for source tracking between human and agri-food isolates of <it>S</it>. Heidelberg in Canada.</p

    The SPLIT Research Agenda 2013

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    This review focuses on active clinical research in pediatric liver transplantation with special emphasis on areas that could benefit from studies utilizing the SPLIT infrastructure and data repository. Ideas were solicited by members of the SPLIT Research Committee and sections were drafted by members of the committee with expertise in those given areas. This review is intended to highlight priorities for clinical research that could successfully be conducted through the SPLIT collaborative and would have significant impact in pediatric liver transplantation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98814/1/petr12090.pd

    Efficacy of vinblastine in central nervous system Langerhans cell histiocytosis: a nationwide retrospective study

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    <p>Abstract</p> <p>Background</p> <p>Vinblastine (VBL) is the standard treatment for systemic Langerhans cell histiocytosis (LCH), but little is known about its efficacy in central nervous system (CNS) mass lesions.</p> <p>Methods</p> <p>A retrospective chart review was conducted. Twenty patients from the French LCH Study Group register met the inclusion criteria. In brief, they had CNS mass lesions, had been treated with VBL, and were evaluable for radiologic response.</p> <p>Results</p> <p>The median age at diagnosis of LCH was 11.5 years (range: 1-50). Intravenous VBL 6 mg/m<sup>2 </sup>was given in a 6-week induction treatment, followed by a maintenance treatment. The median total duration was 12 months (range: 3-30). Eleven patients received steroids concomitantly. Fifteen patients achieved an objective response; five had a complete response (CR: 25%), ten had a partial response (PR: 50%), four had stable disease (SD: 20%) and one patient progressed (PD: 5%). Of interest, four out of the six patients who received VBL without concomitant steroids achieved an objective response. With a median follow-up of 6.8 years, the 5-year event-free and overall survival was 61% and 84%, respectively. VBL was well-tolerated and there were no patient withdrawals due to adverse events.</p> <p>Conclusion</p> <p>VBL, with or without steroids, could potentially be a useful therapeutic option in LCH with CNS mass lesions, especially for those with inoperable lesions or multiple lesions. Prospective clinical trials are warranted for the evaluation of VBL in this indication.</p

    The NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background

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    We search for an isotropic stochastic gravitational-wave background (GWB) in the newly released 11 year data set from the North American Nanohertz Observatory for Gravitational Waves (NANOGrav). While we find no evidence for a GWB, we place constraints on a population of inspiraling supermassive black hole (SMBH) binaries, a network of decaying cosmic strings, and a primordial GWB. For the first time, we find that the GWB constraints are sensitive to the solar system ephemeris (SSE) model used and that SSE errors can mimic a GWB signal. We developed an approach that bridges systematic SSE differences, producing the first pulsar-timing array (PTA) constraints that are robust against SSE errors. We thus place a 95% upper limit on the GW-strain amplitude of A GWB < 1.45 × 10−15 at a frequency of f = 1 yr−1 for a fiducial f −2/3 power-law spectrum and with interpulsar correlations modeled. This is a factor of ~2 improvement over the NANOGrav nine-year limit calculated using the same procedure. Previous PTA upper limits on the GWB (as well as their astrophysical and cosmological interpretations) will need revision in light of SSE systematic errors. We use our constraints to characterize the combined influence on the GWB of the stellar mass density in galactic cores, the eccentricity of SMBH binaries, and SMBH–galactic-bulge scaling relationships. We constrain the cosmic-string tension using recent simulations, yielding an SSE-marginalized 95% upper limit of Gμ < 5.3 × 10−11—a factor of ~2 better than the published NANOGrav nine-year constraints. Our SSE-marginalized 95% upper limit on the energy density of a primordial GWB (for a radiation-dominated post-inflation universe) is ΩGWB(f) h 2 < 3.4 × 10−10

    AI is a viable alternative to high throughput screening: a 318-target study

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    : High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

    Search for photonic signatures of gauge-mediated supersymmetry in 13 TeV pp collisions with the ATLAS detector

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    A search is presented for photonic signatures, motivated by generalized models of gauge-mediated supersymmetry breaking. This search makes use of proton-proton collision data at √s = 13 TeV corresponding to an integrated luminosity of 36.1 fb −1 recorded by the ATLAS detector at the LHC, and it explores models dominated by both strong and electroweak production of supersymmetric partner states. Experimental signatures incorporating an isolated photon and significant missing transverse momentum are explored. These signatures include events with an additional photon or additional jet activity not associated with any specific underlying quark flavor. No significant excess of events is observed above the Standard Model prediction, and 95% confidence-level upper limits of between 0.083 fb and 0.32 fb are set on the visible cross section of contributions from physics beyond the Standard Model. These results are interpreted in terms of lower limits on the masses of gluinos, squarks, and gauginos in the context of generalized models of gauge-mediated supersymmetry, which reach as high as 2.3 TeV for strongly produced and 1.3 TeV for weakly produced supersymmetric partner pairs

    Charged-particle multiplicities in proton-proton collisions at root s=0.9 to 8 TeV

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    A detailed study of pseudorapidity densities and multiplicity distributions of primary charged particles produced in proton-proton collisions, atv root s = 0.9, 2.36, 2.76, 7 and 8 TeV, in the pseudorapidity range vertical bar n vertical bar<2, was carried out using the ALICE detector. Measurements were obtained for three event classes: inelastic, non-single diffractive and events with at least one charged particle in the pseudorapidity interval vertical bar n vertical barPeer reviewe
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