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

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

Connecting wind-driven upwelling and offshore stratification to nearshore internal bores and oxygen variability

This study utilizes field observations in southern Monterey Bay, CA, to examine how regional-scale upwelling and changing offshore (shelf) conditions influence nearshore internal bores. We show that the low-frequency wind forcing (e.g., upwelling/relaxation time scales) modifies the offshore stratification and thermocline depth. This in turn alters the strength and structure of observed internal bores in the near-shore. An internal bore strength index is defined using the high-pass filtered potential energy density anomaly in the nearshore. During weak upwelling favorable conditions and wind relaxations, the offshore thermocline deepens. In this case, both the amplitude of the offshore internal tide and the strength of the nearshore internal bores increase. In contrast, during strong upwelling conditions, the offshore thermocline shoals toward the surface, resulting in a decrease in the offshore internal tide amplitude. As a result, cold water accumulates in the nearshore (nearshore pooling), and the internal bore strength index decreases. Empirical orthogonal functions are utilized to support the claim that the bore events contribute to the majority of the variance in cross-shelf exchange and transport in the nearshore. Observed individual bores can drive shock-like drops in dissolved oxygen (DO) with rapid onset times, while extended upwelling periods with reduced bore activity produce longer duration, low DO events

Realizing Opportunities in Forest Growth Modelling

The world is continually changing: the emergence of new technology and new demands for pertinent information pose new challenges and possibilities for forest management. Are forest growth models keeping up with client needs? To remain relevant, modelers need to anticipate client needs, gauge the data needed to satisfy these demands, develop the tools to collect and analyze these data efficiently, and resolve how best to deliver the resulting models and other findings. Researchers and managers should jointly identify and articulate anticipated needs for the future, and initiate action to satisfy them. New technology that offers potential for innovation in forest growth modelling include modelling software, automated data collection, and animation of model outputs. New sensors in the sky and on forest machines can routinely provide data previously considered unattainable (e.g., tree coordinates, crown dimensions), as census rather than sample data. What does this revolution in data availability imply for forest growth models, especially for our choice of driving variables

New Tetrahedral Global Minimum for the 98-atom Lennard-Jones Cluster

A new atomic cluster structure corresponding to the global minimum of the 98-atom Lennard-Jones cluster has been found using a variant of the basin-hopping global optimization algorithm. The new structure has an unusual tetrahedral symmetry with an energy of -543.665361, which is 0.022404 lower than the previous putative global minimum. The new LJ_98 structure is of particular interest because its tetrahedral symmetry establishes it as one of only three types of exceptions to the general pattern of icosahedral structural motifs for optimal LJ microclusters. Similar to the other exceptions the global minimum is difficult to find because it is at the bottom of a narrow funnel which only becomes thermodynamically most stable at low temperature.Comment: 3 pages, 2 figures, revte