14 resultados para handling
em Aston University Research Archive
Resumo:
Recent developments in service-oriented and distributed computing have created exciting opportunities for the integration of models in service chains to create the Model Web. This offers the potential for orchestrating web data and processing services, in complex chains; a flexible approach which exploits the increased access to products and tools, and the scalability offered by the Web. However, the uncertainty inherent in data and models must be quantified and communicated in an interoperable way, in order for its effects to be effectively assessed as errors propagate through complex automated model chains. We describe a proposed set of tools for handling, characterizing and communicating uncertainty in this context, and show how they can be used to 'uncertainty- enable' Web Services in a model chain. An example implementation is presented, which combines environmental and publicly-contributed data to produce estimates of sea-level air pressure, with estimates of uncertainty which incorporate the effects of model approximation as well as the uncertainty inherent in the observational and derived data.
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DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT
Resumo:
DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY WITH PRIOR ARRANGEMENT
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Disturbances of cation homeostasis, particularly hypomagnesaemia, are a frequent consequence of treatment with aminoglycoside antibiotics. These disturbances are thought to result from renal wasting of cations and administration of gentamicin to rats has been shown to produce hypercalciuria and hypermagnesiuria. The aims of this study were to attempt to elucidate these responses in anaesthetised rats infused with gentamicin and to use this model to investigate the mechanisms of these effects. Fischer 344 rats were anaesthetised and surgically prepared for clearance experiments. Infusion of gentamicin in isotonic saline increased urinary output of calcium and magnesium while sodium and potassium output were unaffected. These elevations in calcium and magnesium excretion were explained by reduced tubular reabsorption of these cations. Both the hypercalciuric and hypermagnesiuric responses to gentamicin were extremely rapid and were sustained during drug infusion; when gentamicin infusion ceased both responses were rapidly reversible. Infusion of another aminoglycoside, tobramycin, produced very similar effects to gentamicin. The hypercalciuria and hypermagnesiuria caused by gentimicin infusion were unaffected by parathyroidectomy. The peak increases in calcium and magnesium output brought about by infusion of gentamicin with frusemide were not significantly different to the increases produced by frusemide alone. The site at which gentamicin interferes with calcium and magnesium reabsorption cannot be firmly deduced from these results. However, the known close association between calcium and sodium reabsorption in the proximal tubule implies that gentamicin is unlikely to change proximal calcium reabsorption without a similar change in proximal sodium reabsorption. The similarity between the hypercalciuric and hypermagnesiuric effects of frusemide alone and the effects of frusemide infused simultaneously with gentamicin suggests that gentamicin may act at the same site as the diuretic, the thick ascending limb of the loop of Henle.
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This thesis has sought to investigate disinfection agents and procedures which may provide sanitisation against bacterial spores. A hard-surface disinfection test method was designed to ascertain which combinations of biocide and application method were most effective against bacterial spores. A combination of spraying and wiping was the most effective method of disinfection against Bacillus spores, with wiping found to play a key role in spore removal. The most efficacious of the biocides investigated was the 6% hydrogen peroxide. Vaporised Hydrogen Peroxide (VHP) gassing was more effective than traditional disinfection. In addition to efficacy, the toxic potential of the biocides to human airway epithelial cells in vitro was evaluated. Toxicity against human bronchial and nasal epithelial cells was assessed by determining cell viability, inflammatory status, protein oxidation and epithelial cell layer integrity. In addition the cell death mechanism following biocide exposure was investigated. There was a decrease in viable cells following exposure to all biocides when applied at practical concentrations. Almost all of the biocides tested elicited a pro-inflammatory response from the cells as measured by IL-8 production. All biocides increased protein oxidation as measured by thiol and carbonyl levels. Measurement of transepithelial electrical resistance and paracellular permeability indicated biocide-dependent decrease in epithelial cell barrier function. The cellular response was biased towards necrotic rather than apoptotic death. The use of biocides, although efficacious to some effects against Bacillus spores, will require careful monitoring for adverse health effects on personnel.
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Research on the drivers of satisfaction with complaint handling (SATCOM) underlines the importance of procedural, relational, and interactional justice (Orsingher, Valentini, & de Angelis, 2010). Since these SATCOM-studies are largely conducted in business-to-consumer (B2C) markets, it is unclear what drives SATCOM in business-to-business (B2B) markets. Therefore, we replicate the justice model in an industrial context and find significant differences for procedural justice and interactional justice but not for distributive justice. While distributive justice is equally important in both contexts, procedural justice is more important in B2B markets whereas interactional justice drives SATCOM only in B2C markets. © 2013 Elsevier B.V.
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One of the main challenges of classifying clinical data is determining how to handle missing features. Most research favours imputing of missing values or neglecting records that include missing data, both of which can degrade accuracy when missing values exceed a certain level. In this research we propose a methodology to handle data sets with a large percentage of missing values and with high variability in which particular data are missing. Feature selection is effected by picking variables sequentially in order of maximum correlation with the dependent variable and minimum correlation with variables already selected. Classification models are generated individually for each test case based on its particular feature set and the matching data values available in the training population. The method was applied to real patients' anonymous mental-health data where the task was to predict the suicide risk judgement clinicians would give for each patient's data, with eleven possible outcome classes: zero to ten, representing no risk to maximum risk. The results compare favourably with alternative methods and have the advantage of ensuring explanations of risk are based only on the data given, not imputed data. This is important for clinical decision support systems using human expertise for modelling and explaining predictions.
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The foot and mouth disease (FMD) epidemic of 2001 was a disaster for sections of the agricultural industry, a number of businesses and for the Ministry of Agriculture, Fisheries and Food (MAFF), which met its demise as a government department during the crisis, being replaced by the Department of the Environment, Food and Rural Affairs (DEFRA). There were some 2,030 confirmed cases and over four million animals slaughtered. It caused the postponement of local elections and of a general election. From a public policy perspective it raised questions about contingency planning, the adjustment of policy to take account of change and how to manage a crisis. This article focuses on the background to the crisis and how it was handled.
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Lyophilisation or freeze drying is the preferred dehydrating method for pharmaceuticals liable to thermal degradation. Most biologics are unstable in aqueous solution and may use freeze drying to prolong their shelf life. Lyophilisation is however expensive and has seen lots of work aimed at reducing cost. This thesis is motivated by the potential cost savings foreseen with the adoption of a cost efficient bulk drying approach for large and small molecules. Initial studies identified ideal formulations that adapted well to bulk drying and further powder handling requirements downstream in production. Low cost techniques were used to disrupt large dried cakes into powder while the effects of carrier agent concentration were investigated for powder flowability using standard pharmacopoeia methods. This revealed superiority of crystalline mannitol over amorphous sucrose matrices and established that the cohesive and very poor flow nature of freeze dried powders were potential barriers to success. Studies from powder characterisation showed increased powder densification was mainly responsible for significant improvements in flow behaviour and an initial bulking agent concentration of 10-15 %w/v was recommended. Further optimisation studies evaluated the effects of freezing rates and thermal treatment on powder flow behaviour. Slow cooling (0.2 °C/min) with a -25°C annealing hold (2hrs) provided adequate mechanical strength and densification at 0.5-1 M mannitol concentrations. Stable bulk powders require powder transfer into either final vials or intermediate storage closures. The targeted dosing of powder formulations using volumetric and gravimetric powder dispensing systems where evaluated using Immunoglobulin G (IgG), Lactate Dehydrogenase (LDH) and Beta Galactosidase models. Final protein content uniformity in dosed vials was assessed using activity and protein recovery assays to draw conclusions from deviations and pharmacopeia acceptance values. A correlation between very poor flowability (p<0.05), solute concentration, dosing time and accuracy was revealed. LDH and IgG lyophilised in 0.5 M and 1 M mannitol passed Pharmacopeia acceptance values criteria with 0.1-4 while formulations with micro collapse showed the best dose accuracy (0.32-0.4% deviation). Bulk mannitol content above 0.5 M provided no additional benefits to dosing accuracy or content uniformity of dosed units. This study identified considerations which included the type of protein, annealing, cake disruption process, physical form of the phases present, humidity control and recommended gravimetric transfer as optimal for dispensing powder. Dosing lyophilised powders from bulk was demonstrated as practical, time efficient, economical and met regulatory requirements in cases. Finally the use of a new non-destructive technique, X-ray microcomputer tomography (MCT), was explored for cake and particle characterisation. Studies demonstrated good correlation with traditional gas porosimetry (R2 = 0.93) and morphology studies using microscopy. Flow characterisation from sample sizes of less than 1 mL was demonstrated using three dimensional X-ray quantitative image analyses. A platinum-mannitol dispersion model used revealed a relationship between freezing rate, ice nucleation sites and variations in homogeneity within the top to bottom segments of a formulation.
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Feature selection is important in medical field for many reasons. However, selecting important variables is a difficult task with the presence of censoring that is a unique feature in survival data analysis. This paper proposed an approach to deal with the censoring problem in endovascular aortic repair survival data through Bayesian networks. It was merged and embedded with a hybrid feature selection process that combines cox's univariate analysis with machine learning approaches such as ensemble artificial neural networks to select the most relevant predictive variables. The proposed algorithm was compared with common survival variable selection approaches such as; least absolute shrinkage and selection operator LASSO, and Akaike information criterion AIC methods. The results showed that it was capable of dealing with high censoring in the datasets. Moreover, ensemble classifiers increased the area under the roc curves of the two datasets collected from two centers located in United Kingdom separately. Furthermore, ensembles constructed with center 1 enhanced the concordance index of center 2 prediction compared to the model built with a single network. Although the size of the final reduced model using the neural networks and its ensembles is greater than other methods, the model outperformed the others in both concordance index and sensitivity for center 2 prediction. This indicates the reduced model is more powerful for cross center prediction.
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As the world's synchrotrons and X-FELs endeavour to meet the need to analyse ever-smaller protein crystals, there grows a requirement for a new technique to present nano-dimensional samples to the beam for X-ray diffraction experiments.The work presented here details developmental work to reconfigure the nano tweezer technology developed by Optofluidics (PA, USA) for the trapping of nano dimensional protein crystals for X-ray crystallography experiments. The system in its standard configuration is used to trap nano particles for optical microscopy. It uses silicon nitride laser waveguides that bridge a micro fluidic channel. These waveguides contain 180 nm apertures of enabling the system to use biologically compatible 1.6 micron wavelength laser light to trap nano dimensional biological samples. Using conventional laser tweezers, the wavelength required to trap such nano dimensional samples would destroy them. The system in its optical configuration has trapped protein molecules as small as 10 nanometres.
Resumo:
As the world's synchrotrons and X-FELs endeavour to meet the need to analyse ever-smaller protein crystals, there grows a requirement for a new technique to present nano-dimensional samples to the beam for X-ray diffraction experiments.The work presented here details developmental work to reconfigure the nano tweezer technology developed by Optofluidics (PA, USA) for the trapping of nano dimensional protein crystals for X-ray crystallography experiments. The system in its standard configuration is used to trap nano particles for optical microscopy. It uses silicon nitride laser waveguides that bridge a micro fluidic channel. These waveguides contain 180 nm apertures of enabling the system to use biologically compatible 1.6 micron wavelength laser light to trap nano dimensional biological samples. Using conventional laser tweezers, the wavelength required to trap such nano dimensional samples would destroy them. The system in its optical configuration has trapped protein molecules as small as 10 nanometres.