1,439 research outputs found

    Inverse design and implementation of a wavelength demultiplexing grating coupler

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    Nanophotonics has emerged as a powerful tool for manipulating light on chips. Almost all of today's devices, however, have been designed using slow and ineffective brute-force search methods, leading in many cases to limited device performance. In this article, we provide a complete demonstration of our recently proposed inverse design technique, wherein the user specifies design constraints in the form of target fields rather than a dielectric constant profile, and in particular we use this method to demonstrate a new demultiplexing grating. The novel grating, which has not been developed using conventional techniques, accepts a vertical-incident Gaussian beam from a free-space and separates O-band (1300nm)(1300\mathrm{nm}) and C-band (1550nm)(1550\mathrm{nm}) light into separate waveguides. This inverse design concept is simple and extendable to a broad class of highly compact devices including frequency splitters, mode converters, and spatial mode multiplexers.Comment: 17 pages, 4 figures, 1 table. A supplementary section describing the inverse-design algorithm in detail has been added, in addition to minor corrections and updated reference

    Religion After Rape: Changes in Faith and Hindered Acknowledgement

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    Previous research has demonstrated the dramatic effect trauma can have on religiosity. This study sought to extend this understanding by examining how a specific trauma, rape, influences religious beliefs and behaviors as well as how religiosity influences acknowledgement of rape. Rape acknowledgement is the personal use of the label rape to describe such an experience. The process of acknowledgement and general recovery from rape can include dramatic questioning of one’s religious beliefs and marks an important potential point of intervention, especially given the majority of the US identifies as religious. A sample of 310 mostly Christian, college-aged women completed questionnaires about their personal religiosity, attitudes and beliefs, and trauma history. Results indicated those who experienced rape experienced significantly greater change in their religious beliefs compared to those who had experienced other types of traumas (p = .015). The relationship between rape acknowledgement and extrinsic religiosity was significantly mediated by ambivalent sexism (95% CI [.0016, .0694]) and the endorsement of rape myths about women lying about rape (95% CI [.0021, .0691]), such that high religiosity was associated with greater acceptance of these beliefs, which was associated with a lower likelihood of acknowledgement. In all, rape was shown to significantly alter one’s participation in their religion and their understanding of their own religiosity, and religious beliefs reflective of certain beliefs fueled a mislabeling of personal experiences of rape. These findings suggest religious guidance should be offered within rape recovery programming, and support for those who experience rape should be provided specifically within religious settings

    Achieving Efficient Strong Scaling with PETSc using Hybrid MPI/OpenMP Optimisation

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    The increasing number of processing elements and decreas- ing memory to core ratio in modern high-performance platforms makes efficient strong scaling a key requirement for numerical algorithms. In order to achieve efficient scalability on massively parallel systems scientific software must evolve across the entire stack to exploit the multiple levels of parallelism exposed in modern architectures. In this paper we demonstrate the use of hybrid MPI/OpenMP parallelisation to optimise parallel sparse matrix-vector multiplication in PETSc, a widely used scientific library for the scalable solution of partial differential equations. Using large matrices generated by Fluidity, an open source CFD application code which uses PETSc as its linear solver engine, we evaluate the effect of explicit communication overlap using task-based parallelism and show how to further improve performance by explicitly load balancing threads within MPI processes. We demonstrate a significant speedup over the pure-MPI mode and efficient strong scaling of sparse matrix-vector multiplication on Fujitsu PRIMEHPC FX10 and Cray XE6 systems

    Embedding of psycho-perceptual-motor skills can improve athlete assessment and training programs

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    Practitioners in a variety of sports seek unique ways to train athletes to better prepare them for competition. In this position paper, we argue that inclusion of psycho-perceptual-motor skills, from the fields of sport psychology and sport expertise, is crucial, but underutilized in the assessment and training of athletes. First, a brief introduction is provided as to why psycho-perceptual-motor skill is vital for training athletes. Second, examples are discussed relating to key concepts. These include the following: assessment of expertise discriminators such as visual anticipation under pressure contexts, incorporation of sports analytics and performance analysis to aid reflection upon previous experiences of good anticipation and coping with pressure, use of qualitative and quantitative measures to understand processes underlying performance and learning, as well as design of representative tasks for assessment and training anticipation under pressure contexts. Third, some recommendations are made to practitioners of sports teams to assist them in taking advantage of psycho-perceptual-motor skill to better prepare athletes for competition. Collectively, we hope this paper stimulates collaboration between practitioners of sports teams and scientists to create a greater focus upon integrated sport psychology and sport expertise in the training of athletes

    Direct seeding trees on farmland in the Western Australian wheatbelt

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    Field and nursery experiments were conducted to determine suitable species, weed control methods, sowing times and seeding techniques. Sowing time was the most significant variable evident in the field experiments. Trees sown in the winter months of June and July out-performed later sowing times. Early sowing of trees in areas of low seasonal rainfall appears to offer considerable advantages for successful establishment over late sowing

    Multicenter Validation of the Vasoactive-Ventilation-Renal Score as a Predictor of Prolonged Mechanical Ventilation After Neonatal Cardiac Surgery

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    Objectives: We sought to validate the Vasoactive-Ventilation-Renal score, a novel disease severity index, as a predictor of outcome in a multicenter cohort of neonates who underwent cardiac surgery. Design: Retrospective chart review. Setting: Seven tertiary-care referral centers. Patients: Neonates defined as age less than or equal to 30 days at the time of cardiac surgery. Interventions: Ventilation index, Vasoactive-Inotrope Score, serum lactate, and Vasoactive-Ventilation-Renal score were recorded for three postoperative time points: ICU admission, 6 hours, and 12 hours. Peak values, defined as the highest of the three measurements, were also noted. Vasoactive-Ventilation-Renal was calculated as follows: ventilation index + Vasoactive-Inotrope Score + Δ creatinine (change in creatinine from baseline × 10). Primary outcome was prolonged duration of mechanical ventilation, defined as greater than 96 hours. Receiver operative characteristic curves were generated, and abilities of variables to correctly classify prolonged duration of mechanical ventilation were compared using area under the curve values. Multivariable logistic regression modeling was also performed. Measurements and Main Results: We reviewed 275 neonates. Median age at surgery was 7 days (25th–75th percentile, 5–12 d), 86 (31%) had single ventricle anatomy, and 183 (67%) were classified as Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery Congenital Heart Surgery Mortality Category 4 or 5. Prolonged duration of mechanical ventilation occurred in 89 patients (32%). At each postoperative time point, the area under the curve for prolonged duration of mechanical ventilation was significantly greater for the Vasoactive-Ventilation-Renal score as compared to the ventilation index, Vasoactive-Inotrope Score, and serum lactate, with an area under the curve for peak Vasoactive-Ventilation-Renal score of 0.82 (95% CI, 0.77–0.88). On multivariable analysis, peak Vasoactive-Ventilation-Renal score was independently associated with prolonged duration of mechanical ventilation, odds ratio (per 1 unit increase): 1.08 (95% CI, 1.04–1.12). Conclusions: In this multicenter cohort of neonates who underwent cardiac surgery, the Vasoactive-Ventilation-Renal score was a reliable predictor of postoperative outcome and outperformed more traditional measures of disease complexity and severity

    Decolonising indigenous social impact research using community-based methods

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    © 2019 Association of Researchers in Construction Management, ARCOM 2019 - Proceedings of the 35th Annual Conference. All rights reserved. Indigenous procurement policies encourage the construction sector to provide new training, employment and business opportunities for Indigenous people suffering from economic and social disadvantage. However, the success of these policies is often distorted by the failure of policy evaluations to account for Indigenous perceptions of social value. Since these often differ markedly from non-Indigenous values, this can distort the allocation of funds to Indigenous communities and exacerbate the marginalisation of the communities these policies are meant to help. Drawing on theories of community-based research, this methodological paper seeks to reconceptualise approaches to measuring Indigenous social value in an Indigenous social procurement policy context. Working in partnership with a peak body for Aboriginal business in Australia, we have co-designed a novel approach to Indigenous social impact research that recognises the legitimacy of Indigenous perspectives when investigating the social value Indigenous procurement policies create. We argue that culturally appropriate focus groups (yarning discussion groups) are appropriate in Indigenous social impact research because they prioritise Indigenous people's experiences of Indigenous procurement policies, rather than focusing on simplistic policy targets. As a method that promotes community involvement in social impact research to define how social value is perceived, yarning discussion groups have significant implications for future research seeking to represent Indigeonus perspectives of social value. It is concluded the approach developed here can be operationalised in the field to better understand the nature of Indigenous social value and the impact created by Indigenous procurement policies in Australia and other countries with disadvantaged Indigenous populations
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