Trialing new assessment tools to identify women at risk of PND

Objectives: The objectives of this study were to trial the Postpartum Depression Predictors Inventory (PDPI) as a checklist to assist nurses in identifying women at risk of postnatal depression at 28 weeks of pregnancy, with repeated assessment at 6-8 weeks postpartum.

Methods: A prospective cohort design was used to include a population of women >20 years of age who were attending an antenatal clinic at a Victorian regional hospital. All women who attended the clinic for their 28 week visit were invited to participate over an 8-week period. Five data collection measures were included, two in the antenatal period and three at 6-8 weeks postpartum. Based on nurse consultation at both times, clinical judgement, and use of the PDPI, nurses recorded three outcomes: no identifiable risk, non-directive counselling or referral to a psychiatric nurse. The Postpartum Depression Screening Scale (PDSS), Edinburgh Postnatal Depression Scale (EPDS) and Kanzas Marital Satisfaction Scales were used at 6-8 weeks postpartum to assess depression and marital satisfaction.

Results: 107 women were recruited in the antenatal period with 84 being followed up 8 weeks postpartum. Information will be presented on the proportion of women who were found to be depressed at both data collection periods, the intervention outcomes as determined by nurses. The use of the PDPI and PDSS as tools to assist nurses in identifying women at risk of postnatal depression will be discussed.

Conclusion: The PDPI is a useful checklist to identify women at risk of postnatal depression. The PDSS and the EPDS identified a similar number of women, although the PDSS is a much longer and more intensive scale.

Critical infrastructure systems modelling : benchmarking CPN tools

This paper reports on the application of systems modelling benchmarks to determine the viability of systems modelling software and its suitability for modelling critical infrastructure systems. This research applies the earlier research that related to developing benchmarks that when applied to systems modelling software will indicate its likely suitability to modelling critical infrastructure systems. In this context, the systems modelling benchmarks will assess the practicality of CPNTools to the task of modelling critical infrastructure systems.

Regional sustainability : how useful are current tools of sustainability assessment at the regional scale?

Sustainability assessment methods are primarily aimed at global, national or state scales. However, modelling sustainability at finer spatial scales, such as the region, is essential for understanding and achieving sustainability. Regions are emerging as an essential focus for sustainability researchers, natural resource managers and strategic planners working to develop and implement sustainability goals. This paper evaluates the effectiveness of current sustainability assessment methods – ecological footprint, wellbeing assessment, ecosystem health assessment, quality of life and natural resource availability – at the regional scale. Each of these assessment methods are tested using South East Queensland (SEQ) as a case study. It was selected because of its ecological and demographic diversity, its combination of coastal and land management issues, and its urban metropolitan and rural farm and non-farm communities. The applicability of each of these methods to regional assessment was examined using an evaluation criteria matrix, which describes the attributes of an effective method and the characteristics that make these methods useful for regional management and building community capacity to progress sustainability. We found that the methods tested failed to effectively measure progress toward sustainability at the regional scale, demonstrating the need for a new method for assessing regional sustainability.

Extended cutting angle method of global optimization

Methods of Lipschitz optimization allow one to find and confirm the global minimum of multivariate Lipschitz functions using a finite number of function evaluations. This paper extends the Cutting Angle method, in which the optimization problem is solved by building a sequence of piecewise linear underestimates of the objective function. We use a more flexible set of support functions, which yields a better underestimate of a Lipschitz objective function. An efficient algorithm for enumeration of all local minima of the underestimate is presented, along with the results of numerical experiments. One dimensional Pijavski-Shubert method arises as a special case of the proposed approach.

Heavy tools manipulation by low powered direct-drive five-bar parallel robot

This paper presents a simple and available system for manipulation of heavy tools by low powered manipulator for industrial applications. In the heavy manufacturing industries, sometimes, heavy tools are employed for different types of work. But the application of robots with heavy tools is not possible due to the limited torque limits of actuators. Suspended tool systems (STS) have been proposed to manipulate heavy tools by low powered robot-arm for this purpose. A low powered five-bar direct-drive parallel manipulator is designed and constructed to manipulate heavy tools suspended from a spring balancer. The validity, usefulness, and effectiveness of the suspended tool system are shown by experimental results.

The challenges for quality managers in Britain and Australia

Purpose – This paper aims to compare and contrast the career experiences and development needs of British and Australian quality managers.

Design/methodology/approach – The results of a postal survey of the careers of British quality managers are compared with Australian quality managers based on two surveys.

Findings – The study finds that quality managers in both countries brought wide functional experience to their roles. Their current jobs are major sources of intrinsic job satisfaction for both groups of managers but they utilise a very limited range of quality tools. Also British and Australian managers show little awareness in terms of their development needs for a broader background in quality.

Practical implications – The findings suggest a worrying lack of innovatory zeal amongst quality managers who appear to be more concerned with the maintenance of standards rather than taking a more dynamic approach. Thus it is argued that while quality managers bring wide functional experience to their current roles, there are many who do not appear to be at the cutting edge of knowledge in their field. Neither do the British quality managers in particular appear to be sufficiently aware of the need to address such shortfalls through professional development opportunities.

Originality/value – The roles of those charged with carrying the flag of quality in the two countries have only previously received limited research coverage. This paper, based upon empirical research in Britain and Australia, identifies issues which require the attention of senior management to ensure future competitiveness for their organisations.

Proactive tools for combating plagiarism : an investigation

Academic integrity is an essential graduate attribute with ignorance of the problem of plagiarism in students’ work not being an option. This study resulted from increasing concern that the prevalence of plagiarism in assessment submitted by students is on the rise and shows no sign of abating. This study supports the provision of assessment designed to specifically focus student’s attention on improving their ability to both recognise plagiarism and avoid it in their written work. All students in both the investigated courses were invited to participate in a post-assessment, electronically-administered survey consisting of sixteen questions regarding the students’ experience regarding their assessment. This study was designed to achieve two purposes - to gain insight into whether providing tertiary students with extra feedback regarding their referencing improves their confidence with respect to referencing and reduces their propensity to plagiarise as well as to increase our understanding of what factors underlie student plagiarism. The results indicate that a considerable number of the students found the assessment of assistance with respect to improving their referencing confidence. In addition, a significant proportion of the students indicated that their understanding of what constitutes plagiarism and their confidence in avoiding plagiarism improved as a result of the assignment and its associated feedback.

Accuracy and precision assesment of stochastic simulation tools for springback variation

The sheet forming industry is plagued by inherent variations in its many input variables, making quality control and improvements a major hurdle. This is particularly poignant for Advanced High Strength Steels (AHSS), which exhibit a large degree of property variability. Current FE-based simulation packages are successful at predicting the manufacturability of a particular sheet metal components, however, due to their numerical deterministic nature are inherently unable to predict the performance of a real-life production process. Though they are now beginning to incorporate the stochastic nature of production in their codes. This work investigates the accuracy and precision of a current stochastic simulation package, AutoForm Sigma v4.1, by developing an experimental data set where all main sources of variation are captured through precise measurements and standard tensile tests. Using a Dual Phase 600Mpa grade steel a series of semi-cylindrical channels are formed at two Blank Holder Pressure levels where the response metric is the variation in springback determined by the flange angle. The process is replicated in AutoForm Sigma and an assessment of accuracy and precision of the predictions are performed. Results indicate a very good correspondence to the experimental trials, with mean springback response predicted to within 1 ° of the flange angle and the interquartile spread of results to within 0.22°.