Notes on research into some aspects of stall-warning devices

The problems of detecting and indicating an approaching stall have been investigated in flight on an “Anson” aircraft. A lower-surface flap near the leading-edge of the wing detects the approaching stall at a speed which depends critically on the length of the flap and on its location, but the margin of warning speed over stalling-speed is reasonably independent of landing-flap position and throttle setting. Continues

Discovering predictive variables when evolving cognitive models

A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters which affect performance on specific tasks; these are the predictive variables. Mutation is biased so that changes to parameter values tend to preserve values within the population's current range. Experimental results show that optimal models are evolved, and also that uncovering predictive variables is beneficial in improving the rate of convergence

A New Extension of Wray-Agarwal Wall Distance Free Turbulence Model to Rough Wall Flows

This paper provides a roughness correction to the latest version of Wall-Distance-Free Wray-Agarwal (WA) one equation turbulence model (WA2018). The results from WA 2018 rough wall model are compared to Spalart-Allmaras model and the previous version of WA roughness model (WA2017). The results from WA2018-Rough model for flow over a flat plate show substantial improvement from the previous version WA2017-Rough and a good agreement with a semi-empirical formula based on experimental results. For flow past a S809 airfoil with surface roughness, WA2018-Rough model performs quite well compared to SA-Rough model

The Poetry of Giacomo da Lentino, Sicilian Poet of the Thirteenth Century

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Development of a prescribing indicator for objective quantification of antibiotic usage in secondary care

Objectives: To compare the recognized defined daily dose per 100 bed-days (DDD/100 bed-days) measure with the defined daily dose per finished consultant episode (DDD/FCE) in a group of hospitals with a variety of medicines management strategies. To compare antibiotic usage using the above indicators in hospitals with and without electronic prescribing systems. Methods: Twelve hospitals were used in the study. Nine hospitals were selected and split into three cohorts (three high-scoring, three medium-scoring and three low-scoring) by their 2001 medicines management self-assessment scores (MMAS). An additional cohort of three electronic prescribing hospitals was included for comparison. MMAS were compared to antibiotic management scores (AMS) developed from a questionnaire relating specifically to control of antibiotics. FCEs and occupied bed-days were obtained from published statistics and statistical analyses of the DDD/100 bed-days and DDD/FCE were carried out using SPSS. Results: The DDD/100 bed-days varied from 81.33 to 189.37 whilst the DDD/FCE varied from 2.88 to 7.43. The two indicators showed a high degree of correlation with r = 0.74. MMAS were from 9 to 22 (possible range 0-23) and the AMS from 2 to 13 (possible range 0-22). The two scores showed a high degree of correlation with r = 0.74. No correlation was established between either indicator and either score. Conclusions: The WHO indicator for medicines utilization, DDD/100 bed-days, exhibited the same level of conformity as that exhibited from the use of the DDD/FCE indicating that the DDD/FCE is a useful additional indicator for identifying hospitals which require further study. The MMAS can be assumed to be an accurate guide to antibiotic medicines management controls. No relationship has been found between a high degree of medicines management control and the quantity of antibiotic prescribed. © The British Society for Antimicrobial Chemotherapy; 2004 all rights reserved

Rigid Quantum Monte Carlo Simulations of Condensed Molecular Matter: Water Clusters in the n=2 ―˃ 8 Range

The numerical advantage of quantum Monte Carlo simulations of rigid bodies relative to the flexible simulations is investigated for some simple systems. The results show that if high frequency modes in molecular condensed matter are predominantly in the ground state, the convergence of path integral simulations becomes nonuniform. Rigid body quantum parallel tempering simulations are necessary to accurately capture thermodynamic phenomena in the temperature range where the dynamics are influenced by intermolecular degrees of freedom; the stereographic projection path integral adapted for quantum simulations of asymmetric tops is a significantly more efficient strategy compared with Cartesian coordinate simulations for molecular condensed matter under these conditions. The reweighted random series approach for stereographic path integral Monte Carlo is refined and implemented for the quantum simulation of water clusters treated as an assembly of rigid asymmetric tops

Co-enrolment of participants into multiple cancer trials: benefits and challenges

Opportunities to enter patients into more than one clinical trial are not routinely considered in cancer research and experiences with co-enrolment are rarely reported. Potential benefits of allowing appropriate co-enrolment have been identified in other settings but there is a lack of evidence base or guidance to inform these decisions in oncology. Here, we discuss the benefits and challenges associated with co-enrolment based on experiences in the Add-Aspirin trial – a large, multicentre trial recruiting across a number of tumour types, where opportunities to co-enrol patients have been proactively explored and managed. The potential benefits of co-enrolment include: improving recruitment feasibility; increased opportunities for patients to participate in trials; and collection of robust data on combinations of interventions, which will ensure the ongoing relevance of individual trials and provide more cohesive evidence to guide the management of future patients. There are a number of perceived barriers to co-enrolment in terms of scientific, safety and ethical issues, which warrant consideration on a trial-by-trial basis. In many cases, any potential effect on the results of the trials will be negligible – limited by a number of factors, including the overlap in trial cohorts. Participant representatives stress the importance of autonomy to decide about trial enrolment, providing a compelling argument for offering co-enrolment where there are multiple trials that are relevant to a patient and no concerns regarding safety or the integrity of the trials. A number of measures are proposed for managing and monitoring co-enrolment. Ensuring acceptability to (potential) participants is paramount. Opportunities to enter patients into more than one cancer trial should be considered more routinely. Where planned and managed appropriately, co-enrolment can offer a number of benefits in terms of both scientific value and efficiency of study conduct, and will increase the opportunities for patients to participate in, and benefit from, clinical research