Smoking and drinking behaviours : the role of Reinforcement Sensitivity Theory

This thesis examines the predictions of Jeffrey Gray's Reinforcement Sensitivity Theory in the development of smoking and hazardous drinking behaviours in young women. Impulsivity was found to significantly predict alcohol use and young women who smoked and drank at hazardous levels were significantly more impulsive than hazardous drinkers.

Reinforcement sensitivity theory : a paradigm for understanding the motivational processes underlying alcohol use

Provides an examination of the processes which motivate individuals to drink alcohol. It was found that heavier drinkers are highly sensitive to reward yet more likely to experience negative affect, both generally, and in response to alcohol-related cues. Based on these findings a model focusing on the links between personality, mood and craving for alcohol was developed.

Sensitivity to motivational cues in attention-deficit / hyperactivity disorder

This thesis examined a prediction of Reinforcement Sensitivity Theory regarding the association between personality traits and motivated behaviour and, whether reward-and-punishment sensitivity is associated with Attention-deficit / Hyperactivity disorder (ADHD). Results supported the predicted association between personality and motivated behaviour, but not the predicted association between reward-and-punishment sensitivity and ADHD.

Kernel performance in meeting hard real-time system characteristics (the ARTOS real-time kernel)

Describes the design and implementation of an operating system kernel specifically designed to support real-time applications. It emphasises portability and aims to support state-of-the-art concepts in real-time programming. Discusses architectural aspects of the ARTOS kernel, and introduces new concepts on the areas of interrupt processing, scheduling, mutual exclusion and inter-task communication. Also explains the programming environment of ARTOS kernal and its task model, defines the real-time task states and system data structures and discusses exception handling mechanisms which are used to detect missed deadlines and take corrective action.

Disordered eating and drinking behaviours : the role of sensitivity to reward and punishment

Examines whether the personality traits of sensitivity to reward and punishment as defined by Jeffrey Gray contributed to the prediction of disordered eating and hazardous alcohol use. Studies were conducted in both subclinical and clinical populations. Heightened sensitivity to reward contributed to the prediction of hazardous alcohol use and heightened sensitivity to punishment contributed to the prediction of disordered eating in women. Women with comorbid bulimia and alcohol dependence were more behaviourally sensitive to reward than normal controls.

Sweet talking to ethnic customers : a field experiment on the links between entrepreneurial business planning, cultural sensitivity and sales growth

The purpose of this study was to test whether calculated inclusion of cultural sensitivity in a selected entrepreneurial business planning (EBP) process could increase sales growth in a test market and to explore the implications of a positive answer for the theory and practice of entrepreneurial business planning. Execution of a pretest-posttest control group experimental design measured and compared the implemented effectiveness of a planned entrepreneurial initiative based on cultural sensitivity. Though small in scale and limited in focus, the initiative qualified as an example of entrepreneurial business planning (EBP) and could be used to apply, test and extend aspects of the developing theory in this field of entrepreneurship research. Since the initiative was planned to overcome a culturally-defined impediment to business growth, it also offered opportunity to explore the specific importance of cultural variables in the context of EBP.

A planned sales-promotion was offered to a control group (receiving information in English) and a treatment group (who received the information in the language of ethnic origin). The sixty subjects had been chosen at random from a population of route-trade retailers of defined ethnic origins (Greek, Lebanese and Chinese) and randomly assigned to control and treatment groups. Monthly sales averages of the promoted product were measured before and after treatment. A Chi Square test was used to evaluate the relative proportion of the control and treatment groups who accepted the promotional offer. A two sample t-test procedure and complementary non-parametric Mann-Whitney test were performed to compare the mean sales-performance change of the two groups. Analysis showed that there was a significant increase in mean sales when the planned entrepreneurial initiative was communicated in the relevant language of origin.

The experimental results have specific practical relevance to revitalising the deteriorating route-trade segment of the Australian confectionery market through increasing the sales growth of wholesalers who are prepared to act entrepreneurially and include cultural sensitivity as an element in planning and implementation. By introducing cultural sensitivity as a necessary extension of a plan’s communications role, the results also have general theoretical implications for the developing paradigm of entrepreneurial business planning.

Effects of design parameters on sensitivity of microcantilever biosensors

Microcantilever biosensors produce cantilever bending due to differential surface stress between upper and lower surfaces of the cantilever. The bending is associated with concentration of ligands and adsorbed ligand-receptor intermolecular forces. Sample volume sizes in clinical diagnostic applications are usually very minute requiring a highly sensitive microcantilever for disease detection. This paper investigates a number of parameters that influence the sensitivity of microcantilever biosensors. The parameters include length, thickness, shape, and material of the cantilever beam. Biosensors of varying parameters are modeled and simulated. The results show that increasing the length of the cantilever beam enhances its sensitivity. However, increasing the thickness of the cantilever beam reduces its sensitivity. In static analysis, the shape of the cantilever beam does not notably impact upon its sensitivity. Also, using materials with lower Young’s modulus improves the sensitivity.

Parameter sensitivity analysis of surface plasmon resonance biosensor through numerical simulation

Surface based analytical tools have gained more importance for rapid, sensitive and label-free monitoring of molecular recognition events. Surface plasmon resonance (SPR) has played a prominent role in real time monitoring of surface binding events. SPR is increasing its significance especially for the study of ultrathin dielectric layer. This paper investigates the role of thin films of gold, silver and aluminium for protein detection in SPR biosensors. It is shown that the sensitivity, which is indicated by the shift of plasmon dip, is not linearly related to the thickness of protein but quadratic over a specific range. The approach involves a plot of a reflectivity curve as a function of the angle of incidence.

Oral sensitivity to fatty acids, food consumption and BMI in human subjects

Fatty acids are the chemical moieties that are thought to stimulate oral nutrient sensors, which detect the fat content of foods. In animals, oral hypersensitivity to fatty acids is associated with decreased fat intake and body weight. The aims of the present study were to investigate oral fatty acid sensitivity, food selection and BMI in human subjects. The study included two parts; study 1 established in thirty-one subjects (29 (sem 1·4) years, 22·8 (sem 0·5) kg/m²) taste thresholds using 3-AFC (3-Alternate Forced Choice Methodology) for oleic, linoleic and lauric acids, and quantified oral lipase activity. During study 2, fifty-four subjects (20 (sem 0·3) years, 21·5 (sem 0·4) kg/m2) were screened for oral fatty acid sensitivity using oleic acid (1·4 mm), and they were defined as hypo- or hypersensitive via triplicate triangle tests. Habitual energy and macronutrient intakes were quantified from 2 d diet records, and BMI was calculated from height and weight. Subjects also completed a fat ranking task using custard containing varying amounts (0, 2, 6 and 10 %) of fat. Study 1 reported median lipase activity as 2 μmol fatty acids/min per l, and detection thresholds for oleic, linoleic and lauric acids were 2·2 (sem 0·1), 1·5 (sem 0·1) and 2·6 (sem 0·3) mm. Study 2 identified twelve hypersensitive subjects, and hypersensitivity was associated with lower energy and fat intakes, lower BMI (P < 0·05) and an increased ability to rank custards based on fat content (P < 0·05). Sensitivity to oleic acid was correlated to performance in the fat ranking task (r 0·4, P < 0·05). These data suggest that oral fatty acid hypersensitivity is associated with lower energy and fat intakes and BMI, and it may serve as a factor that influences fat consumption in human subjects.

Fat taste sensitivity

Hyposensitivity to fatty acid taste is associated with greater intake of fat, higher BMI and attenuated gastrointestinal (GI) function. These observations are consistent amongst healthy and overweight/obese subjects, who display attenuated taste and GI function, and consume excess fat.

Association of high-sensitivity C-reactive protein with de novo major depression

Background: Although there is cross-sectional evidence that changes in the immune system contribute to the pathophysiology of depression, longitudinal data capable of elucidating cause and effect relationships are lacking.

Aims: We aimed to determine whether subclinical systemic inflammation, as measured by serum high-sensitivity C-reactive protein (hsCRP) concentration, is associated with an increased risk of de novo major depressive disorder.

Method: Major depressive disorder was diagnosed using a clinical interview (SCID-I/NP). This is a retrospective cohort study; from a population-based sample of 1494 randomly selected women recruited at baseline during the period 1994-7, 822 were followed for a decade and provided measures of both exposure and outcome. Of these women, 644 (aged 20-84 years) had no prior history of depression at baseline and were eligible for analysis.

Results: During 5827 person-years of follow-up, 48 cases of de novo major depressive disorder were identified. The hazard ratio (HR) for depression increased by 44% for each standard deviation increase in log-transformed hsCRP (ln-hsCRP) (HR = 1.44, 95% CI 1.04-1.99), after adjusting for weight, smoking and use of non-steroidal anti-inflammatory drugs. Further adjustment for other lifestyle factors, medications and comorbidity failed to explain the observed increased risk for depression.

Conclusions: Serum hsCRP is an independent risk marker for de novo major depressive disorder in women. This supports an aetiological role for inflammatory activity in the pathophysiology of depression.

Sequential fixed-width confidence bands for kernel regression estimation

We consider a random design model based on independent and identically distributed (iid) pairs of observations (Xi, Yi), where the regression function m(x) is given by m(x) = E(Yi|Xi = x) with one independent variable. In a nonparametric setting the aim is to produce a reasonable approximation to the unknown function m(x) when we have no precise information about the form of the true density, f(x) of X. We describe an estimation procedure of non-parametric regression model at a given point by some appropriately constructed fixed-width (2d) confidence interval with the confidence coefficient of at least 1−. Here, d(> 0) and 2 (0, 1) are two preassigned values. Fixed-width confidence intervals are developed using both Nadaraya-Watson and local linear kernel estimators of nonparametric regression with data-driven bandwidths.

The sample size was optimized using the purely and two-stage sequential procedure together with asymptotic properties of the Nadaraya-Watson and local linear estimators. A large scale simulation study was performed to compare their coverage accuracy. The numerical results indicate that the confidence bands based on the local linear estimator have the best performance than those constructed by using Nadaraya-Watson estimator. However both estimators are shown to have asymptotically correct coverage properties.