Dirty Recycling: Auto Salvage and Its Potential Impacts on Marginalized Populations

The salvage yard represents the final waypoint in the cradle-to-grave cycle of the automobile. Residual amounts of petroleum hydrocarbons, heavy metals, and acids used in automobiles can be extremely harmful to human health and the environment if not managed correctly. The purpose of this study was to assess the extent to which minority populations were exposed to the hazards of the auto salvage industry. Census data for population, income, race/ethnicity, sex, and age were organized using ArcGIS software. Population demographics were analyzed in the areas surrounding 98 auto salvage yards found in Philadelphia and Adams Counties, Pennsylvania. In Philadelphia County, the results showed that low-income minorities, females, and 65+ individuals are over represented groups near auto salvage yards. Conversely, Adams County showed few spatial relationships in demographic distribution. Our findings suggest that in urban counties, such as Philadelphia, depressed property values have resulted in a large percentage of below average income minorities inhabiting areas in close proximity to auto salvage yards. On the other hand, auto salvage yards in rural areas, such as Adams County, do not appear to have the same effect because population density and racial diversity are much lower

Midwifery workplace culture in Australia: A national survey of midwives

© 2019 Problem: The midwifery workforce in Australia is impacted by shortages and attrition. Workplace culture affects midwives’ intentions to stay in the profession and their capacity to provide woman-centred care for mothers and infants. Background: Staff attrition in maternity services often relates to midwives’ workplace experiences and negative perceptions of organisational culture. Broad-based data are essential to fully understand midwifery workplace culture. Aim: This study aimed to examine Australian midwives’ perceptions of workplace culture, using a specifically developed instrument. Methods: A national online survey of Australian midwives, within a wider project on maternity workplace culture. Quantitative data were analysed descriptively. Qualitative data were analysed using content analysis. Findings: Overall, 322 eligible midwives rated workplace culture and 150 provided further qualitative responses. Themes included ‘the ability to be a midwife’, ‘support at work’ and ‘bullying’. Less than a third of midwives thought their workplace had a positive culture. Many respondents felt disengaged and unsupported by managers and described an inability to use all their midwifery knowledge in medically-dominated environments. Many attributed poor workplace culture to limited resources, poor communication, time pressure and a lack of leadership in their workplaces. Inadequate staffing levels and poor management left many midwives feeling disempowered and despondent about their workplace. Others, however, described highly positive workplace cultures and inspiring role models. Conclusion: The survey captured a snapshot of Australian midwifery workplace culture. Findings on leadership, workloads, management support and other aspects of workplace culture can inform future workforce planning and policies. A larger study of the midwifery workplace culture is needed

Foundations of American Political Theory

Let me group the ideas that make up our tradition under four main headings: the nature of man, the pattern of society, the structure and purpose of government, the place of man in society and under government. The results will be, as best I can state them, the essentials of our common tradition

Using Laguerre functions to improve the tuning and performance of predictive functional control

This paper proposes a novel modification to the predictive functional control (PFC) algorithm to facilitate significant improvements in the tuning efficacy. The core concept is the use of an alternative parameterisation of the degrees of freedom in the PFC law. Building on recent insights into the potential of Laguerre functions in traditional MPC (Rossiter et al., 2010; Wang, 2009), the paper develops an appropriate framework for PFC and then demonstrates that these functions can be exploited to allow easier and more effective tuning in PFC as well as facilitating strong constraint handling properties. The proposed design approach and the associated tuning methodology are developed and their efficacy is demonstrated with a number of numerical examples

Input shaping for PFC: how and why?

Predictive functional control (PFC) is a highly successful strategy within industry, but for cases with challenging dynamics the most effective tuning approaches are still an active research area. This paper shows how one can deploy some insights from the more traditional model predictive control literature in order to enable systematic tuning and in particular, to ensure that the key PFC tuning parameter, that is the desired closed-loop time constant, is effective. In addition to enabling easier and more effective tuning, the proposed approach has the advantage of being simple to code and thus retaining the simplicity of implementation and tuning that is a key selling point of PFC. This paper focuses on design for open-loop unstable and also processes with significant under-damping in their open-loop behaviour

Supporting depressed mothers at home: Their views on an innovative relationship-based intervention

This study explored the responses of a group of 111 mothers who experienced distress and/or depression in the early months after childbirth and who received an innovative home visiting service until their child's first birthday. The current study reports a thematic content analysis of the qualitative questionnaire responses returned by the mothers after completing the intervention. The mothers valued the home visiting program for its capacity to increase their parenting confidence and to enhance their bond to their infants. They attributed this to the reassurance provided by the program and the skills and qualities of the home visitors. Their responses complement the benefits identified in quantitative analysis of the program and demonstrate its impact from participants' viewpoint. © eContent Management Pty Ltd

Clover disease : Practical Findings and Recommendation for Control

Practical Findings and Recommendation for Control During the past decade an infertility in ewes together with other breeding troubles and abnormalities of the sex organs of sheep became a serious problem in certain regions in Western Australia where pastures were composed predominantly of early (Dwalganup) subterranean clover

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

This study aimed at examining effective sample treatments and spectral processing for an alternate method of soil nitrate determination using the attenuated total reflectance (ATR) of Fourier transform infrared (FTIR) spectroscopy. Prior to FTIR measurements, soil samples were prepared as paste to enhance adhesion between the ATR crystal and sample. The similar nitrate peak heights of soil pastes and their supernatants indicated that the nitrate in the liquid portion of the soil paste mainly responded to the FTIR signal. Using a 0.01-M CaSO4 solution for the soil paste, which has no interference bands in the characteristic spectra of the analyte, increased the concentration of the nitrates to be measured. Second-order derivatives were used in the prediction model to minimize the interference effects and enhance the performance. The second-order derivative spectra contained a unique nitrate peak in a range of 1,400-1,200 cm(-1) without interference of carbonate. A partial least square regression model using second-order derivative spectra performed well (R (2) = 0.995, root mean square error (RMSE) = 23.5, ratio of prediction to deviation (RPD) = 13.8) on laboratory samples. Prediction results were also good for a test set of agricultural field soils with a CaCO3 concentration of 6% to 8% (R (2) = 0.97, RMSE = 18.6, RPD = 3.5). Application of the prediction model based on soil paste samples to nitrate stock solution resulted in an increased RMSE (62.3); however, validation measures were still satisfactory (R (2) = 0.99, RPD = 3.0