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Ambient ozone pollution and daily mortality in three megacities in China

Thesis (Master's)--University of Washington, 2016-06

Development of Cookstove Emissions and Performance Testing Suite with Time-resolved Particulate Matter Analysis and Excess Air Estimation

Thesis (Master's)--University of Washington, 2016-06

Simulation of air traffic controllers' behaviour using the operator choice model

The Operator Choice Model (OCM) was developed to model the behaviour of operators attending to complex tasks involving interdependent concurrent activities, such as in Air Traffic Control (ATC). The purpose of the OCM is to provide a flexible framework for modelling and simulation that can be used for quantitative analyses in human reliability assessment, comparison between human computer interaction (HCI) designs, and analysis of operator workload. The OCM virtual operator is essentially a cycle of four processes: Scan Classify Decide Action Perform Action. Once a cycle is complete, the operator will return to the Scan process. It is also possible to truncate a cycle and return to Scan after each of the processes. These processes are described using Continuous Time Probabilistic Automata (CTPA). The details of the probability and timing models are specific to the domain of application, and need to be specified using domain experts. We are building an application of the OCM for use in ATC. In order to develop a realistic model we are calibrating the probability and timing models that comprise each process using experimental data from a series of experiments conducted with student subjects. These experiments have identified the factors that influence perception and decision making in simplified conflict detection and resolution tasks. This paper presents an application of the OCM approach to a simple ATC conflict detection experiment. The aim is to calibrate the OCM so that its behaviour resembles that of the experimental subjects when it is challenged with the same task. Its behaviour should also interpolate when challenged with scenarios similar to those used to calibrate it. The approach illustrated here uses logistic regression to model the classifications made by the subjects. This model is fitted to the calibration data, and provides an extrapolation to classifications in scenarios outside of the calibration data. A simple strategy is used to calibrate the timing component of the model, and the results for reaction times are compared between the OCM and the student subjects. While this approach to timing does not capture the full complexity of the reaction time distribution seen in the data from the student subjects, the mean and the tail of the distributions are similar.

Asma, abitudini e stile di vita "Analisi retrospettiva di un campione di pazienti asmatici seguito in ambulatorio di terzo livello"

Growing evidence suggest the importance of different environments in promoting the pathogenesis and/or exacerbation of asthma. Indoor air pollution is a major contributor to human exposure, since people spend up to 90% of their day indoors. Apart from active smoking, indoor pollution is considered one of the major preventable risk factors of chronic respiratory diseases. The professional activity can also be dangerous because it exposes the subject to environments that can promote the onset of asthma or worsening of the latter in those already affected. Even bad habits such as incorrect diet, lead to more difficulty in controlling their disease. However asthma is a multifactorial disease in nature so it is not easy to distinguish the role of occupational exposure, pollution and normal habits such as smoking, nutrition, sports, etc. This retrospective study was conducted on a sample of asthma patients residing in the metropolitan area of Parma. 116 patients were selected among those who are followed up at least two years at the Asthma outpatient Clinic of Parma University Hospital. The sample in question is therefore closely controlled and monitored; it comes to patients who are well educated on the control of their disease, are able to take appropriate measures to minimize the symptomatology. With this tight approach is proposed to minimize the effect of confounding and then traced with greater certainty the possible cause of the failure to control the disease. For this purpose, each patient was subjected to regular checkups; we took as a reference the period of time between April and October 2015. During each visit, in addition to general data for each patient, we were collected personal information about their habits and way of life through a validated questionnaire delivered and completed by the patient during the visit in the presence of the permanent staff. The questionnaire covers mainly the qualification of the patient, its possible occupational exposure, his home, with information about nearby traffic, time spent outside, physical activity (place and time), exposure to chemicals, exposure to various fumes (fireplace or stove) and cigarette smoke, comorbidities and any drugs taken during the visits considered. Regarding the respiratory conditions of patients during every examination we were considered: Asthma Control Test (a test performed by patients to assess the state of the disease during the month preceding the test), the measurement of exhaled nitric oxide (FeNO) as an index of airways inflammation, measuring the resistance level of small airways (R5-R20) and some spirometric values observed in experiment; in particular the forced vital capacity (FVC), forced expiratory volume in the first second (FEV 1), FEV1/FVC ratio, forced expiratory flow rate over the middle 50% of the FVC (FEF25–75) and FEF25-75/FVC were recorded. The sample has been studied considering both the changes of the respiratory parameters for every patient in their examinations, and the respiratory parameters of all the examinations took as a whole in relation with the variables considered. From the results obtained, the patients are clinically stable; their adopted lifestyle and the exposure to possible sources of outdoor pollution, seems not affect the overall control of their disease. Some findings of our study are of interest. First, the subjects who carry a steroid therapy show a clinical worst, as revealed by the decrease of most spirometric indices, particularly FEF25, FEF75, FEF25-75 and R5-R20; also, the presence of comorbidities and the subsequent intake of other drugs, in addition to normal therapy for asthma, seem to be conditions associated with poorer performance in the functional respiratory parameters in particular FEV1/FVC, FEF75 and FEF25-75. Spirometric indexes that are down are mainly those related to obstruction imposed on small airways; this suggests a neglect to the latter on the contrary should be further explored and treated accordingly. It is also observed that both patients are overweight than those living on the lower floors and/or who have the most windows exposed to traffic, showed a decrease of pulmonary function, especially those relate to an obstruction at the small airways level. In conclusion, our results provided the evidence that a most appropriate therapy, specific to reach the small airways, associated with a healthy lifestyle, can help improve the management of asthma.

Low-emission vehicle adoption in a UK local authority fleet:economic barriers and air quality benefits

Local air quality was one of the main stimulants for low carbon vehicle development during the 1990s. Issues of national fuel security and global air quality (climate change) have added pressure for their development, stimulating schemes to facilitate their deployment in the UK. In this case study, Coventry City Council aimed to adopt an in-house fleet of electric and hybrid-electric vehicles to replace business mileage paid for in employee's private vehicles. This study made comparisons between the proposed vehicle technologies, in terms of costs and air quality, over projected scenarios of typical use. The study found that under 2009 conditions, the electric and hybrid fleet could not compete on cost with the current business model because of untested assumptions, but certain emissions were significantly reduced >50%. Climate change gas emissions were most drastically reduced where electric vehicles were adopted because the electricity supply was generated by renewable energy sources. The study identified the key cost barriers and benefits to adoption of low-emission vehicles in current conditions in the Coventry fleet. Low-emission vehicles achieved significant air pollution-associated health cost and atmospheric emission reductions per vehicle, and widespread adoption in cities could deliver significant change. © The Author 2011. Published by Oxford University Press. All rights reserved.