Norms and their relationship to behavior in worksite settings : an application of the Jackson Return Potential Model

To measure health norms and assess their influence on behavior among 2541 employees in 16 manufacturing worksites using an adapted Jackson's Return Potential Model (RPM). METHODS: Worksite-level norm intensity, crystallization, and normative power were calculated for several behaviors; linear regression analyses tested whether normative power was related to each health behavior. RESULTS: Norms about safe work practices and smoking were most intense; norms about safe work practices were most crystallized. Safe work practices and smoking held the highest normative power; healthy eating held the least normative power. Comparing norm characteristics across health behaviors leads to important leverage points for intervening to influence norms and improve worker health.

Supporting working parents: findings from the AHRC’s national inquiry into the prevalence of pregnancy and return to work discrimination in the workplace

In July 2014 the Australian Human Rights Commission (AHRC) released the findings of its national review into pregnancy and return to work discrimination in the workplace1 which it conducted following a request from the Commonwealth Attorney-General’s Department.2 The review comes 15 years after the commission’s first inquiry into pregnancy discrimination in the workplace.3Federal law has prohibited pregnancy discrimination in the workplace since the Sex Discrimination Act 1984 (Cth) (SDA) came into force.4 It is now unlawful in every state and territory.5 Discrimination on the basis of breastfeeding and family or carer’s responsibilities is also prohibited.6 Since 2009 the Fair Work Act 2009 (Cth) (FW Act) has prohibited workplace discrimination based on pregnancy and family or carer’s responsibilities7 and the Act gives employees additional entitlements relating to their parental and caring responsibilities. Male and female employees who are the primary caregiver for a child are entitled to 12 months unpaid parental leave upon the birth or adoption of the child and can request an additional 12 months leave.8 Upon returning to work, they can request flexible working conditions9 and they are protected from adverse action, such as dismissal, for exercising these rights.10 Yet despite these legal protections, the findings of the national review show that employees continue to experience discrimination during pregnancy, when taking parental leave and upon re-entering the workforce. This note presents the main findings from the surveys and consultations that were held with employers and employees as part of the review and the review’s recommendations for addressing the prevalence of what it terms ‘pregnancy/return to work discrimination’.

Out of the frying pan, into the fire : Cantrills Filmnotes as Prestige Machine

This examination of the gaps and ambiguities linked to Cantrills Filmnotes (CF), an Australian publication on experimental film, offers a case study on the production and ownership of Pierre Bourdieu’s 'cultural capital' in film art at the margins, witnessed first-hand. CF emerged at the intersection between the street and the academy, spanning that period from the 70s till its abandonment in 2000 during which, it is argued here, it migrated from the former to the latter. This examination surveils, in retrospect, for whose benefit was the magazine's accumulation of power, status and prestige exercised, in whose service was it exacted? CF’s manifesto-like editorial rhetoric was often directed at perceived shortcomings of those institutions servicing film art in Australia. What is revealed when such a critical eye focuses on the production of Cantrills Filmnotes (CF) itself? CF's cultural production has a further dimension of both taking on and taking place inside a colonial mind-set, a cultural cringe often the subject of editorial commentary, elucidating a practice residing at the geographic margins of a marginal arts practice. The founders and editors of CF, the married couple Corinne and Arthur Cantrill both suffered and benefited from CF’s impact on this international field of art production.

Association between attributions of responsibility for motor vehicle crashes, depressive symptoms, and return to work.

Perceptions surrounding the underlying causes of accidents and injuries may be a key mechanism influencing postaccident health and functional outcomes among people injured in road crashes. In particular, attributions of responsibility may influence rates of postcrash depressive symptomatology and return-to-work.

Prediction interval-based neural network modelling of polystyrene polymerization reactor - a new perspective of data-based modelling

In this paper, prediction interval (PI)-based modelling techniques are introduced and applied to capture the nonlinear dynamics of a polystyrene batch reactor system. Traditional NN models are developed using experimental datasets with and without disturbances. Simulation results indicate that traditional NNs cannot properly handle disturbances in reactor data and demonstrate a poor forecasting performance, with an average MAPE of 22% in the presence of disturbances. The lower upper bound estimation (LUBE) method is applied for the construction of PIs to quantify uncertainties associated with forecasts. The simulated annealing optimization technique is employed to adjust NN parameters for minimization of an innovative PI-based cost function. The simulation results reveal that the LUBE method generates quality PIs without requiring prohibitive computations. As both calibration and sharpness of PIs are practically and theoretically satisfactory, the constructed PIs can be used as part of the decision-making and control process of polymerization reactors. © 2014 The Institution of Chemical Engineers.

Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system

This paper introduces a new multi-output interval type-2 fuzzy logic system (MOIT2FLS) that is automatically constructed from unsupervised data clustering method and trained using heuristic genetic algorithm for a protein secondary structure classification. Three structure classes are distinguished including helix, strand (sheet) and coil which correspond to three outputs of the MOIT2FLS. Quantitative properties of amino acids are used to characterize the twenty amino acids rather than the widely used computationally expensive binary encoding scheme. Amino acid sequences are parsed into learnable patterns using a local moving window strategy. Three clustering tasks are performed using the adaptive vector quantization method to derive an equal number of initial rules for each type of secondary structure. Genetic algorithm is applied to optimally adjust parameters of the MOIT2FLS with the purpose of maximizing the Q3 measure. Comprehensive experimental results demonstrate the strong superiority of the proposed approach over the traditional methods including Chou-Fasman method, Garnier-Osguthorpe-Robson method, and artificial neural network models.

Use of motivational interviewing to improve return-to-work and work-related outcomes: a review

Work-based return-to-work (RTW) interventions can help to reduce the duration and cost of work disability, and in turn, prevent the negative effects of long-term sickness absence. However, there are a number of complex cognitive, affective and behavioural factors that can impact an individual's confidence, motivation and willingness to RTW that need to be addressed to facilitate effective outcomes. This literature review investigates evidence for the use of motivational interviewing (MI) for improving return-to-work (RTW) and employment outcomes. Whilst evidence for the efficacy of MI in clinical settings to motivate health behaviour change is strong, more research is needed to determine whether MI can be usefully applied to improve RTW and other work-related outcomes. © 2014 The Author(s).

Prediction interval-based modelling of polymerization reactor: a new modelling strategy for chemical reactors

Precise and reliable modelling of polymerization reactor is challenging due to its complex reaction mechanism and non-linear nature. Researchers often make several assumptions when deriving theories and developing models for polymerization reactor. Therefore, traditional available models suffer from high prediction error. In contrast, data-driven modelling techniques provide a powerful framework to describe the dynamic behaviour of polymerization reactor. However, the traditional NN prediction performance is significantly dropped in the presence of polymerization process disturbances. Besides, uncertainty effects caused by disturbances present in reactor operation can be properly quantified through construction of prediction intervals (PIs) for model outputs. In this study, we propose and apply a PI-based neural network (PI-NN) model for the free radical polymerization system. This strategy avoids assumptions made in traditional modelling techniques for polymerization reactor system. Lower upper bound estimation (LUBE) method is used to develop PI-NN model for uncertainty quantification. To further improve the quality of model, a new method is proposed for aggregation of upper and lower bounds of PIs obtained from individual PI-NN models. Simulation results reveal that combined PI-NN performance is superior to those individual PI-NN models in terms of PI quality. Besides, constructed PIs are able to properly quantify effects of uncertainties in reactor operation, where these can be later used as part of the control process. © 2014 Taiwan Institute of Chemical Engineers.