Non-zero mean Gaussian process prior wind field models

This report outlines the derivation and application of a non-zero mean, polynomial-exponential covariance function based Gaussian process which forms the prior wind field model used in 'autonomous' disambiguation. It is principally used since the non-zero mean permits the computation of realistic local wind vector prior probabilities which are required when applying the scaled-likelihood trick, as the marginals of the full wind field prior. As the full prior is multi-variate normal, these marginals are very simple to compute.

Chronic illness in non-heterosexual contexts: towards a critical LGBTQ health psychology

In this thesis, I contribute to the expansion of lesbian, gay, bisexual, trans and queer (LGBTQ) psychology by examining chronic illness within non-heterosexual contexts. Chronic illness, beyond the confines of HIV/AIDS, has been a neglected topic in LGBTQ psychology and sexual identity is often overlooked within health psychology. When the health of lesbian, gay and bisexual (LGB) people has been considered there has been an over-reliance on quantitative methods and comparative approaches which seek to compare LGB people?s health to their heterosexual counterparts. In contrast, I adopt a critical perspective and qualitative methods to explore LGBTQ health. My research brings together ideas from LGBTQ psychology and critical health psychology to explore non-heterosexuals? experiences of chronic illness and the discursive contexts within which LGB people live with chronic health conditions. I also highlight the heteronormativity which pervades academic health psychology as well as the „lay? health literature. The research presented in this thesis draws on three different sources of qualitative data: a qualitative online questionnaire (n=190), an online discussion within a newsgroup for people with diabetes, and semi-structured interviews with 20 LGB people with diabetes. These data are analysed using critical realist forms of thematic analysis and discourse analysis. In the first analytic chapter (Chapter 3), I report the perspectives of LGB people living with many different chronic illnesses and how they felt their sexuality shapes their experiences of illness. In Chapter 4, I examine heterosexism within an online discussion and consider the ways in which sexuality is constructed as (ir)relevant to a diabetes support forum. In Chapter 5, I analyse LGB people?s talk about the support family and partners provide in relation to their diabetes and how they negotiate wider discourses of gender, sexuality and individualism. In Chapter 6 I explore how diabetes intersects with gay and bisexual men?s sex lives. In the concluding chapter, I discuss the contributions of my research for a critical LGBTQ health psychology and identify some possible areas for future research.

The effects of varying forms and degrees of government intervention upon the effective competitiveness of UK small businesses

This doctoral thesis responds to the need for greater understanding of small businesses and their inherent unique problem-types. Integral to the investigation is the theme that for governments to effectively influence small business, a sound understanding of the factors they are seeking to influence is essential. Moreover, the study, in its recognition of the many shortcomings in management research and, in particular that the research methods and approaches adopted often fail to give adequate understanding of issues under study, attempts to develop an innovative and creative research approach. The aim thus being to produce, not only advances in small business management knowledge from the standpoints of government policy makers and `lq recipient small business, but also insights into future potential research method for the continued development of that knowledge. The origins of the methodology lay in the non-acceptance of traditional philosophical positions in epistemology and ontology, with a philosophical standpoint of internal realism underpinning the research. Internal realism presents the basis for the potential co-existence of qualitative and quantitative research strategy and underlines the crucial contributory role of research method in provision of ultimate factual status of the assertions of research findings. The concept of epistemological bootstrapping is thus used to develop a `lq partial research framework to foothold case study research, thereby avoiding limitations of objectivism and brute inductivism. The major insights and issues highlighted by the `lq bootstrap, guide the researcher around the participant case studies. A novel attempt at contextualist (linked multi-level and processual) analysis was attempted in the major in-depth case study, with two further cases playing a support role and contributing to a balanced emphasis of empirical research within the context of time constraints inherent within part-time research.

Non-linear hierarchical visualisation

This thesis applies a hierarchical latent trait model system to a large quantity of data. The motivation for it was lack of viable approaches to analyse High Throughput Screening datasets which maybe include thousands of data points with high dimensions. High Throughput Screening (HTS) is an important tool in the pharmaceutical industry for discovering leads which can be optimised and further developed into candidate drugs. Since the development of new robotic technologies, the ability to test the activities of compounds has considerably increased in recent years. Traditional methods, looking at tables and graphical plots for analysing relationships between measured activities and the structure of compounds, have not been feasible when facing a large HTS dataset. Instead, data visualisation provides a method for analysing such large datasets, especially with high dimensions. So far, a few visualisation techniques for drug design have been developed, but most of them just cope with several properties of compounds at one time. We believe that a latent variable model (LTM) with a non-linear mapping from the latent space to the data space is a preferred choice for visualising a complex high-dimensional data set. As a type of latent variable model, the latent trait model can deal with either continuous data or discrete data, which makes it particularly useful in this domain. In addition, with the aid of differential geometry, we can imagine the distribution of data from magnification factor and curvature plots. Rather than obtaining the useful information just from a single plot, a hierarchical LTM arranges a set of LTMs and their corresponding plots in a tree structure. We model the whole data set with a LTM at the top level, which is broken down into clusters at deeper levels of t.he hierarchy. In this manner, the refined visualisation plots can be displayed in deeper levels and sub-clusters may be found. Hierarchy of LTMs is trained using expectation-maximisation (EM) algorithm to maximise its likelihood with respect to the data sample. Training proceeds interactively in a recursive fashion (top-down). The user subjectively identifies interesting regions on the visualisation plot that they would like to model in a greater detail. At each stage of hierarchical LTM construction, the EM algorithm alternates between the E- and M-step. Another problem that can occur when visualising a large data set is that there may be significant overlaps of data clusters. It is very difficult for the user to judge where centres of regions of interest should be put. We address this problem by employing the minimum message length technique, which can help the user to decide the optimal structure of the model. In this thesis we also demonstrate the applicability of the hierarchy of latent trait models in the field of document data mining.

Sparse signal representation by adaptive non-uniform B-spline dictionaries on a compact interval

Non-uniform B-spline dictionaries on a compact interval are discussed in the context of sparse signal representation. For each given partition, dictionaries of B-spline functions for the corresponding spline space are built up by dividing the partition into subpartitions and joining together the bases for the concomitant subspaces. The resulting slightly redundant dictionaries are composed of B-spline functions of broader support than those corresponding to the B-spline basis for the identical space. Such dictionaries are meant to assist in the construction of adaptive sparse signal representation through a combination of stepwise optimal greedy techniques.

Non-invasive respiratory monitoring using long-period fiber grating sensors

In non-invasive ventilation, continuous monitoring of respiratory volumes is essential. Here, we present a method for the measurement of respiratory volumes by a single fiber-grating sensor of bending and provide the proof-of-principle by applying a calibration-test measurement procedure on a set of 18 healthy volunteers. Results establish a linear correlation between a change in lung volume and the corresponding change in a local thorax curvature. They also show good sensor accuracy in measurements of tidal and minute respiratory volumes for different types of breathing. The proposed technique does not rely on the air flow through an oronasal mask or the observation of chest movement by a clinician, which distinguishes it from the current clinical practice. © 2014 Optical Society of America.

Analysis of single and multiple, non-permanent, tunable, birefringent spectral holes in a fibre-Bragg grating stop-band produced via uniaxial pressure

We present an experimental and numerical study of transversely loaded uniform fibre-Bragg gratings. A novel loading configuration is described, producing pressure-induced spectral holes in an initially strong uniform grating. The birefringence properties of these gratings are analysed. It is shown that the frequency splitting of the two spectral holes, corresponding to two orthogonal polarisation states, can be adjusted precisely using this loading configuration. We finally demonstrate a new and simple scheme to induce multiple spectral holes in the stop-band. © 2003 Elsevier Science B.V. All rights reserved.

Solid oral forms availability in children:a cost saving investigation

AIM: To assess the suitability and potential cost savings, from both the hospital and community perspective, of prescribed oral liquid medicine substitution with acceptable solid forms for children over 2 years. METHOD: Oral liquid medicines dispensed from a paediatric hospital (UK) in 1 week were assessed by screening for existence of the solid form alternative and evaluating the acceptability of the available solid form, firstly related to the prescribed dose and secondly to acceptable size depending on the child's age. Costs were calculated based on providing treatment for 28 days or prescribed duration for short term treatments. RESULTS: Over 90% (440/476) of liquid formulations were available as a marketed solid form. Considering dosage acceptability (maximum of 10% deviation from prescribed dosage or 0% for narrow therapeutic range drugs, maximum tablet divisions into quarters) 80% of liquids could be substituted with a solid form. The main limitation for liquid substitution would be solid form size. However, two-thirds of prescribed liquids could have been substituted with a suitable solid form for dosage and size, with estimated savings being of 5K and 8K in 1 week, respectively based on hospital and community costs, corresponding to a projected annual saving of 238K and 410K (single institution). CONCLUSION: Whilst not all children over 2 years will be able to swallow tablets, drug cost savings if oral liquid formulations were substituted with suitable solid dosage forms would be considerable. Given the numerous advantages of solid forms compared with liquids, this study may provide a theoretical basis for investing in supporting children to swallow tablets/capsules.

Target/error overlap in jargonaphasia:the case for a one-source model, lexical and non-lexical summation, and the special status of correct responses

We present three jargonaphasic patients who made phonological errors in naming, repetition and reading. We analyse target/response overlap using statistical models to answer three questions: 1) Is there a single phonological source for errors or two sources, one for target-related errors and a separate source for abstruse errors? 2) Can correct responses be predicted by the same distribution used to predict errors or do they show a completion boost (CB)? 3) Is non-lexical and lexical information summed during reading and repetition? The answers were clear. 1) Abstruse errors did not require a separate distribution created by failure to access word forms. Abstruse and target-related errors were the endpoints of a single overlap distribution. 2) Correct responses required a special factor, e.g., a CB or lexical/phonological feedback, to preserve their integrity. 3) Reading and repetition required separate lexical and non-lexical contributions that were combined at output.

The influence of alexithymia and mood on eating psychopathology in a non-clinical female sample

It has been demonstrated that clinical and subclinical disor- dered eating are associated with elevated levels of depression and the personality trait alexithymia (ALX). ALX means literally lack of words for emotion and is associated with a difficulty identifying and describing feelings, and with an externally oriented cognitive style. The aim of the current study was to examine the inter-relationships between mood and ALX in accounting for variations in non-clinical eating psychopathology. 124 females were assessed on the 20- item Toronto Alexithymia Scale (TAS-20), the Hospital Anxiety and Depression Scale (HADS) and the Eating Disorders Inventory (EDI). Results revealed that EDI scores were positively associated with scores on the TAS-20 and with scores on the depression and anxi- ety subscales of the HADS. A series of stepwise multiple regressions revealed that depression and ALX accounted for 53% of the variance in total EDI scores and 40% of the variance in scores on the drive- for-thinness subscale of the EDI. Scores on the bulimia and body dissatisfaction subscales were predicted by the mood scores only. In conclusion, ALX and mood may contribute, alone and in combi- nation, to the development of some forms of disordered eating.

The influence of alexithymia and mood on eating psychopathology in a non-clinical female sample

It has been demonstrated that clinical and subclinical disor- dered eating are associated with elevated levels of depression and the personality trait alexithymia (ALX). ALX means literally lack of words for emotion and is associated with a difficulty identifying and describing feelings, and with an externally oriented cognitive style. The aim of the current study was to examine the inter-relationships between mood and ALX in accounting for variations in non-clinical eating psychopathology. 124 females were assessed on the 20- item Toronto Alexithymia Scale (TAS-20), the Hospital Anxiety and Depression Scale (HADS) and the Eating Disorders Inventory (EDI). Results revealed that EDI scores were positively associated with scores on the TAS-20 and with scores on the depression and anxi- ety subscales of the HADS. A series of stepwise multiple regressions revealed that depression and ALX accounted for 53% of the variance in total EDI scores and 40% of the variance in scores on the drive- for-thinness subscale of the EDI. Scores on the bulimia and body dissatisfaction subscales were predicted by the mood scores only. In conclusion, ALX and mood may contribute, alone and in combi- nation, to the development of some forms of disordered eating.

Efficiency improvement of non-uniformly-aged PV arrays

The utilization of solar energy by photovoltaic (PV) systems have received much research and development (R&D) attention across the globe. In the past decades, a large number of PV array have been installed. Since the installed PV arrays often operate in harsh environments, non-uniform aging can occur and impact adversely on the performance of PV systems, especially in the middle and late periods of their service life. Due to the high cost of replacing aged PV modules by new modules, it is appealing to improve energy efficiency of aged PV systems. For this purpose, this paper presents a PV module reconfiguration strategy to achieve the maximum power generation from non-uniformly aged PV arrays without significant investment. The proposed reconfiguration strategy is based on the cell-unit structure of PV modules, the operating voltage limit of gird-connected converter, and the resulted bucket-effect of the maximum short circuit current. The objectives are to analyze all the potential reorganization options of the PV modules, find the maximum power point and express it in a proposition. This proposition is further developed into a novel implementable algorithm to calculate the maximum power generation and the corresponding reconfiguration of the PV modules. The immediate benefits from this reconfiguration are the increased total power output and maximum power point voltage information for global maximum power point tracking (MPPT). A PV array simulation model is used to illustrate the proposed method under three different cases. Furthermore, an experimental rig is built to verify the effectiveness of the proposed method. The proposed method will open an effective approach for condition-based maintenance of emerging aging PV arrays.