1,962 research outputs found

    An evaluation of an educational intervention (physical assessment module), for the non medical work force to provide unscheduled services across the primary and secondary sector in one SHA

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    The purpose of this research was to establish how an educational intervention (the physical assessment module) enabled practitioners, drawn from the non medical workforce, to meet the modernising agenda of new ways of working, notably, to provide unscheduled care and to contribute to the transformation of chronic care provision in the acute care sector and Community.To gauge the impact of the physical assessment module on the evolution of competencies to fulfil the demands of new roles in practice a responsive evaluation model was used. Data were gathered from face to face interviews, analysis of relevant documents, and direct observation of working practises. Importantly the approach sought to report findings back into the communities from which these data have arisen to verify the findings but also to enrich and update issues in a rapidly changing context. Therefore, feedback via stakeholder conferences was a critical element in the process.Data were analysed using the constant comparative method. Data analysis ran concurrently with data collection and as emergent issues arose they were abstracted and the topics explored in subsequent interviews.Key findings are presented in three tiers: from theory to practice (learning physical assessment skills and techniques and applying these in practice; from policy to practice (tracking the way in which policy was transmitted from the central government through to organisations and how this impacted on the context in which the practitioners were required to use their skills; and finally from policy to users of the service (examining the evaluation of patients and their relatives about the services provided by nurses undertaking advanced physical assessment skills

    Gluino Contribution to the 3-loop QCD beta function in the Minimal Supersymmetric Standard Model

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    We deduce the gluino contribution to the three-loop QCD \beta function within the minimal supersymmetric Standard Model (MSSM) from its standard QCD expression. The result is a first step in the computation of the full MSSM three-loop \beta function. In addition, in the case of a light gluino it provides the strong three-loop SUSY correction to the extrapolation of the strong coupling constant from the low energy regime to the Z region and up to the squark threshold.Comment: 11 pages, RevTex, 4 Postscript figur

    Silicon-based molecular electronics

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    Molecular electronics on silicon has distinct advantages over its metallic counterpart. We describe a theoretical formalism for transport through semiconductor-molecule heterostructures, combining a semi-empirical treatment of the bulk silicon bandstructure with a first-principles description of the molecular chemistry and its bonding with silicon. Using this method, we demonstrate that the presence of a semiconducting band-edge can lead to a novel molecular resonant tunneling diode (RTD) that shows negative differential resistance (NDR) when the molecular levels are driven by an STM potential into the semiconducting band-gap. The peaks appear for positive bias on a p-doped and negative for an n-doped substrate. Charging in these devices is compromised by the RTD action, allowing possible identification of several molecular highest occupied (HOMO) and lowest unoccupied (LUMO) levels. Recent experiments by Hersam et al. [1] support our theoretical predictions.Comment: Author list is reverse alphabetical. All authors contributed equally. Email: rakshit/liangg/ ghosha/[email protected]

    Inhibition of IGF-I Receptor Signaling in Combination with Rapamycin or Temsirolimus Increases MYC-N Phosphorylation

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    BACKGROUND: It has been previously shown that blockade of the type 1 insulin-like growth factor receptor (IGF1R) signaling combined with mTOR inhibition decreased neuroblastoma proliferation in vitro. MYC-N inactivation occurs through phosphorylation by downstream elements of the IGF1R signaling pathway. It was hypothesized that inhibition of IGF1R signaling would increase the inactivation of MYC-N. MATERIALS AND METHODS: BE-2(c) and IMR-32 neuroblastoma cell lines were treated with varying concentrations of alphaIR3, rapamycin and temsirolimus either alone or in combination and the expression of MYC-N and phosphorylated MYC-N proteins were evaluated by Western blotting. The number of apoptotic cells was evaluated through cleaved caspase-3 expression. RESULTS: IGF1R signaling blockade in combination with mTOR inhibition decreased MYC-N protein expression, increased MYC-N phosphorylation and significantly increased cleaved caspase-3 expression in treated cells. CONCLUSION: The combination of rapamycin or temsirolimus with alphaIR3 decreases MYC-N expression, increases MYC-N phosphorylation and induces apoptosis in vitro which may have clinical relevance to children with neuroblastoma

    Comparing inclination-dependent analyses of kilonova transients

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    The detection of the optical transient AT2017gfo proved that binary neutron star mergers are progenitors of kilonovae (KNe).Using a combination of numerical-relativity and radiative-transfer simulations, the community has developed sophisticated models for these transients for a wide portion of the expected parameter space. Using these simulations and surrogate models made from them, it has been possible to perform Bayesian inference of the observed signals to infer properties of the ejected matter. It has been pointed out that combining inclination constraints derived from the KN with gravitational-wavemeasurements increases the accuracy with which binary parameters can be estimated, in particular breaking the distance-inclination degeneracy from gravitational wave inference. To avoid bias from the unknown ejecta geometry, constraints on the inclination angle for AT2017gfo should be insensitive to the employed models. In this work, we compare different assumptions about the ejecta and radiative reprocesses used by the community and we investigate their impact on the parameter inference. While most inferred parameters agree, we find disagreement between posteriors for the inclination angle for different geometries that have been used in the current literature. According to our study, the inclusion of reprocessing of the photons between different ejecta types improves the modeling fits to AT2017gfo and, in some cases, affects the inferred constraints. Our study motivates the inclusion of large ~1-mag uncertainties in the KN models employed for Bayesian analysis to capture yet unknown systematics, especially when inferring inclination angles, although smaller uncertainties seem appropriate to capture model systematics for other intrinsic parameters. We can use this method to impose soft constraints on the ejecta geometry of the KN AT2017gfo
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