Study of materials performance model for aircraft interiors

A demonstration version of an aircraft interior materials computer data library was developed and contains information on selected materials applicable to aircraft seats and wall panels, including materials for the following: panel face sheets, bond plies, honeycomb, foam, decorative film systems, seat cushions, adhesives, cushion reinforcements, fire blocking layers, slipcovers, decorative fabrics and thermoplastic parts. The information obtained for each material pertains to the material's performance in a fire scenario, selected material properties and several measures of processability

Denoising time-resolved microscopy image sequences with singular value thresholding.

Time-resolved imaging in microscopy is important for the direct observation of a range of dynamic processes in both the physical and life sciences. However, the image sequences are often corrupted by noise, either as a result of high frame rates or a need to limit the radiation dose received by the sample. Here we exploit both spatial and temporal correlations using low-rank matrix recovery methods to denoise microscopy image sequences. We also make use of an unbiased risk estimator to address the issue of how much thresholding to apply in a robust and automated manner. The performance of the technique is demonstrated using simulated image sequences, as well as experimental scanning transmission electron microscopy data, where surface adatom motion and nanoparticle structural dynamics are recovered at rates of up to 32 frames per second.Junior Research Fellowship from Clare CollegeThis is the final version of the article. It first appeared from Elsevier via http://dx.doi.org/10.1016/j.ultramic.2016.05.00

The Cassandra Project- building a sustainable workload activity model for future community and district nursing workforce capacity planning

Purpose This paper presents work in progress from a two year mixed methods study in the UK to evaluate the impact of a community nursing workload activity tool as a mechanism for modelling optimum caseloads to underpin decisions about safe staffing levels. Current methods of measuring workload and output in the community context are not robust enough to capture the complexity of care differences in rural and urban populations. Many teams have heavy caseloads, poor/inappropriate referrals, and an inability to state when capacity has been reached. . Research Aim To develop and evaluate a robust model to predict and plan for optimum community nursing caseload activity within a whole system. Research Objectives 1. To develop a taxonomy and associated database that provides a consistent language for describing community nursing interventions that can be used to provide reliable and comparable metrics. 2. To determine the utility of the Cassandra tool in capturing community nursing interventions. 3 To use the data collected to build an inter-relational model of community nursing practice that can be used to determine, case-load, activity and develop a predictive model. 4. To evaluate the usability of the model in assisting managers and local decision-makers in workforce planning. 5. To assess the effectiveness of the model in capturing community nursing care left undone or missed 6. To explore how the model interrelates community nursing caseload activity with other care provision in a whole system. Methods Informed by critical realism, which attempts to understand real world issues, the design is guided by optimum caseload modelling, and given the multivariate nature of the environment in which workload activity takes place, a multiple case study evaluation across six NHS Pilot sites in England. Full ethical approval is in place. Results Results from case study sites demonstrated we have created a robust tool that captures an accurate picture of the multidimensional complexity of community nursing intervention, context of care, users of care and care left undone and are beginning to mine the data to identify patterns and relationships to build and test more accurate predictive optimum caseload activity tools to support workforce planning around patient acuity and skill mix, and provide an economic analysis of the cost of care left undone. Application in international contexts will be considered. Conclusions The tool can accurately capture a representative picture of how community and district nurses spend their time by generating both individual and organisational level reports. This reporting is speedy and enables workforce planners to work with robust evidence to make decisions about commissioning education for nurses, identifying skills shortages to target recruitment and retention activities, and to underpin decision making about commissioning services and the workforce required to provide high quality care

Tubulin cofactors and Arl2 are cage-like chaperones that regulate the soluble αβ-tubulin pool for microtubule dynamics.

Microtubule dynamics and polarity stem from the polymerization of αβ-tubulin heterodimers. Five conserved tubulin cofactors/chaperones and the Arl2 GTPase regulate α- and β-tubulin assembly into heterodimers and maintain the soluble tubulin pool in the cytoplasm, but their physical mechanisms are unknown. Here, we reconstitute a core tubulin chaperone consisting of tubulin cofactors TBCD, TBCE, and Arl2, and reveal a cage-like structure for regulating αβ-tubulin. Biochemical assays and electron microscopy structures of multiple intermediates show the sequential binding of αβ-tubulin dimer followed by tubulin cofactor TBCC onto this chaperone, forming a ternary complex in which Arl2 GTP hydrolysis is activated to alter αβ-tubulin conformation. A GTP-state locked Arl2 mutant inhibits ternary complex dissociation in vitro and causes severe defects in microtubule dynamics in vivo. Our studies suggest a revised paradigm for tubulin cofactors and Arl2 functions as a catalytic chaperone that regulates soluble αβ-tubulin assembly and maintenance to support microtubule dynamics

Developing a caseload model to reflect the complexity of district and community nursing

A study by the England Centre for Practice Development proposes to develop and evaluate an optimum caseload model for district and community nursing, building on two rounds of funded pilot research in the south east of England using the Cassandra MatrixTM. It addresses national calls for a strategic capacity-and-demand model to measure and reflect the multidimensional complexity of the community nursing workload, maximising the potential of the workforce to meet the needs of clients with increasingly complex comorbidities and interdependencies. It also addresses the ambitions of the NHS Five Year Forward View to enable planned growth of the workforce for the future

An analysis of the relationships between speech and reading abilities of four hundred and twenty-five first grade children.

Thesis (Ed.M.)--Boston Universit

Implementation of advanced practice nursing for minor orthopedic injuries in the emergency care context – a non-inferiority study

Aims To evaluate the implementation of advanced practice nursing for patients with minor orthopedic injuries, including comparison of outcomes in relation to advanced practice nurse versus standard (physician-led) care models. Design A non-inferiority study was performed in an emergency department in Norway, where advanced practice nursing is in an initial stage of implementation. The non-inferiority design was chosen to test whether the new advanced practice nursing model does not compromise quality of care compared to the standard care model already in use. Methods Patients with minor orthopedic injuries were assessed and treated by either advanced practice nursing or standard (physician-led) care models. Participating patients were assigned to the professional available at presentation. In the nursing model, registered nurses worked at an advanced level/applied advanced practice nursing following in-house-training. Senior orthopedic specialists evaluated the diagnostic and treatment accuracy in both models. Data were collected in a tool developed for this study, from May to October, 2019. Results In total, 335 cases were included, of which 167 (49.9 %) were assessed and treated in the nursing model. Overall, correct diagnosis was found in 97.3 % (n = 326) of the cases, and correct treatment was found in 91.3 % (n = 306) of the cases. In comparison of missed diagnosis between advanced practice nurse and the standard (physician-led) care model showed inconclusive results (risk ratio: 0.29, 95% CI: 0.06-1.36). In comparison of treatment outcomes, the results showed that the advanced practice nursing model was non-inferior (risk ratio: 0.45, 95% CI: 0.21-0.97). Conclusion Advanced practice nursing care models can be used to diagnose and treat minor orthopedic injuries without compromising quality of care. Further implementation of the advanced practice nurse care model is encouraged

Simulations and cosmological inference: A statistical model for power spectra means and covariances

We describe an approximate statistical model for the sample variance distribution of the non-linear matter power spectrum that can be calibrated from limited numbers of simulations. Our model retains the common assumption of a multivariate Normal distribution for the power spectrum band powers, but takes full account of the (parameter dependent) power spectrum covariance. The model is calibrated using an extension of the framework in Habib et al. (2007) to train Gaussian processes for the power spectrum mean and covariance given a set of simulation runs over a hypercube in parameter space. We demonstrate the performance of this machinery by estimating the parameters of a power-law model for the power spectrum. Within this framework, our calibrated sample variance distribution is robust to errors in the estimated covariance and shows rapid convergence of the posterior parameter constraints with the number of training simulations.Comment: 14 pages, 3 figures, matches final version published in PR