42 research outputs found

    Setting research priorities for sexual, reproductive, maternal, newborn, child and adolescent health in humanitarian settings

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    Background: An estimated 70.8 million people are forcibly displaced worldwide, 75% of whom are women and children. Prioritizing a global research agenda to inform guidance, service delivery, access to and quality of services is essential to improve the survival and health of women, children and adolescents in humanitarian settings. / Method: A mixed-methods design was adapted from the Child Health and Nutrition Research Initiative (CHNRI) methodology to solicit priority research questions across the sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) domains in humanitarian settings. The first step (CHNRI) involved data collection and scoring of perceived priority questions, using a web-based survey over two rounds (first, to generate the questions and secondly, to score them). Over 1000 stakeholders from across the globe were approached; 177 took part in the first survey and 69 took part in the second. These research questions were prioritized by generating a research prioritization score (RPP) across four dimensions: answerability, program feasibility, public health relevance and equity. A Delphi process of 29 experts followed, where the 50 scored and prioritized CHRNI research questions were shortlisted. The top five questions from the CHNRI scored list for each SRMNCAH domain were voted on, rendering a final list per domain. / Results: A total of 280 questions were generated. Generated questions covered sexual and reproductive health (SRH) (n = 90, 32.1%), maternal health (n = 75, 26.8%), newborn health (n = 42, 15.0%), child health (n = 43, 15.4%), and non-SRH aspects of adolescent health (n = 31, 11.1%). A shortlist of the top ten prioritized questions for each domain were generated on the basis of the computed RPPs. During the Delphi process, the prioritized questions, based on the CHNRI process, were further refined. Five questions from the shortlist of each of the SRMNCAH domain were formulated, resulting in 25 priority questions across SRMNCAH. For example, one of the prioritized SRH shortlisted and prioritized research question included: “What are effective strategies to implement good quality comprehensive contraceptive services (long-acting, short-acting and EC) for women and girls in humanitarian settings?” / Conclusion: Data needs, effective intervention strategies and approaches, as well as greater efficiency and quality during delivery of care in humanitarian settings were prioritized. The findings from this research provide guidance for researchers, program implementers, as well as donor agencies on SRMNCAH research priorities in humanitarian settings. A global research agenda could save the lives of those who are at greatest risk and vulnerability as well as increase opportunities for translation and innovation for SRMNCAH in humanitarian settings

    Critical exponents and equation of state of the three-dimensional Heisenberg universality class

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    We improve the theoretical estimates of the critical exponents for the three-dimensional Heisenberg universality class. We find gamma=1.3960(9), nu=0.7112(5), eta=0.0375(5), alpha=-0.1336(15), beta=0.3689(3), and delta=4.783(3). We consider an improved lattice phi^4 Hamiltonian with suppressed leading scaling corrections. Our results are obtained by combining Monte Carlo simulations based on finite-size scaling methods and high-temperature expansions. The critical exponents are computed from high-temperature expansions specialized to the phi^4 improved model. By the same technique we determine the coefficients of the small-magnetization expansion of the equation of state. This expansion is extended analytically by means of approximate parametric representations, obtaining the equation of state in the whole critical region. We also determine a number of universal amplitude ratios.Comment: 40 pages, final version. In publication in Phys. Rev.

    Impact of e-ASPECTS software on the performance of physicians compared to a consensus ground truth: a multi-reader, multi-case study

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    BackgroundThe Alberta Stroke Program Early CT Score (ASPECTS) is used to quantify the extent of injury to the brain following acute ischemic stroke (AIS) and to inform treatment decisions. The e-ASPECTS software uses artificial intelligence methods to automatically process non-contrast CT (NCCT) brain scans from patients with AIS affecting the middle cerebral artery (MCA) territory and generate an ASPECTS. This study aimed to evaluate the impact of e-ASPECTS (Brainomix, Oxford, UK) on the performance of US physicians compared to a consensus ground truth.MethodsThe study used a multi-reader, multi-case design. A total of 10 US board-certified physicians (neurologists and neuroradiologists) scored 54 NCCT brain scans of patients with AIS affecting the MCA territory. Each reader scored each scan on two occasions: once with and once without reference to the e-ASPECTS software, in random order. Agreement with a reference standard (expert consensus read with reference to follow-up imaging) was evaluated with and without software support.ResultsA comparison of the area under the curve (AUC) for each reader showed a significant improvement from 0.81 to 0.83 (p = 0.028) with the support of the e-ASPECTS tool. The agreement of reader ASPECTS scoring with the reference standard was improved with e-ASPECTS compared to unassisted reading of scans: Cohen's kappa improved from 0.60 to 0.65, and the case-based weighted Kappa improved from 0.70 to 0.81.ConclusionDecision support with the e-ASPECTS software significantly improves the accuracy of ASPECTS scoring, even by expert US neurologists and neuroradiologists

    Failure stresses of plain weave glass/epoxy under different in-plane biaxial loading ratios

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    National audienceComposite materials are widely used in engineering applications. The mechanical characterization of these materials is of major importance and the in-plane biaxial tensile test can be an interesting alternative to conventional uniaxial tensile tests along multiple directions. The major problem related to this test is the design of the cruciform specimen. In this study, the objective lies in the failure characterization of composite materials under a wide range of stress state. The proposed specimen is composed of two aluminum tabs glued on each side of a constant thickness composite sample. Experimental biaxial tensile tests are led for several displacement loading ratios from uniaxial to equi-biaxial stretching. Major and minor strains in the central zone (calculated by DIC technic) and measured tensile forces along the two specimen axes constitute the experimental database. According to the loading ratios, the minor and major stresses (or strains) at the onset of failure will define a failure envelop for the material.Les matĂ©riaux composites sont largement utilisĂ©s dans les applications d'ingĂ©nierie. Dans le cadre de la caractĂ©risation mĂ©canique de ces matĂ©riaux, l'essai biaxial sur Ă©prouvette plane peut s'avĂ©rer intĂ©ressant par rapport Ă  l'essai conventionnel de traction uniaxiale rĂ©alisĂ© selon diffĂ©rentes directions. Cependant, la dĂ©finition de la gĂ©omĂ©trie de l'Ă©prouvette cruciforme constitue une difficultĂ© majeure pour cet essai. Dans ce contexte, l'objectif de cette Ă©tude est de caractĂ©riser le comportement Ă  la rupture d'un matĂ©riau composite dans une large gamme d'Ă©tats de contraintes. L'Ă©prouvette proposĂ©e est composĂ©e des deux talons d'aluminium collĂ©s de chaque cĂŽtĂ© du matĂ©riau composite d'Ă©paisseur constante. Les essais de traction biaxiale sont rĂ©alisĂ©s pour diffĂ©rents chemins de dĂ©formation allant de la traction uniaxiale jusqu'Ă  la traction Ă©qui-biaxiale. Les dĂ©formations majeures et mineures dans la zone centrale (calculĂ©es par la mĂ©thode de corrĂ©lation d'images) et les efforts mesurĂ©s selon les deux axes de l'Ă©prouvette constituent la base expĂ©rimentale. En se basant sur l'ensemble des chemins de dĂ©formation testĂ©s, une enveloppe de rupture du matĂ©riau Ă©tudiĂ© peut ĂȘtre obtenue Ă  partir des contraintes (ou dĂ©formations) majeures et mineures dĂ©terminĂ©es au moment de la rupture de l'Ă©prouvette

    Corporate social responsibility and shareholder's value

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    Corporate social responsibility (CSR) has become one of the core components of corporate strategy and a crucial instrument to minimize conflicts with stakeholders. While corporations are busy adopting and enhancing CSR practices, the academic literature on understanding the impact of CSR is scarce, especially in the capital market. This paper traces the market reaction to corporate entry and exit from the Domini 400 Social Index, recognized as a CSR benchmark, between 1990 and 2004. The results reveal a significant negative effect on abnormal returns after exit announcements from the Domini index. The effect persists even after controlling for concurring financial distress shocks and stock market seasonality

    Does gender affect innovation? Evidence from female chief technology officers

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    202206 bcfcNot applicableOthersProject of Strategic Importance at the Hong Kong Polytechnic University (No. ZE2J)Published36 month

    On the implementation of a primal-dual algorithm for second order time-dependent Mean Field Games with local couplings

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    International audienceWe study a numerical approximation of a time-dependent Mean Field Game (MFG) system with local couplings. The discretization we consider stems from a variational approach described in [14] for the stationary problem and leads to the finite difference scheme introduced by Achdou and Capuzzo-Dolcetta in [3]. In order to solve the finite dimensional variational problems, in [14] the authors implement the primal-dual algorithm introduced by Chambolle and Pock in [20], whose core consists in iteratively solving linear systems and applying a proximity operator. We apply that method to time-dependent MFG and, for large viscosity parameters, we improve the linear system solution by replacing the direct approach used in [14] by suitable preconditioned iterative algorithms
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