Sampling Strategies for Toxic Air Contaminants

Annual concentrations of toxic air contaminants are of primary concern from the perspective of chronic human exposure assessment and risk analysis. Despite recent advances in air quality monitoring technology, resource and technical constraints often impose limitations on the availability of a sufficient number of ambient concentration measurements for performing environmental risk analysis. Therefore, sample size limitations, representativeness of data, and uncertainties in the estimated annual mean concentration must be examined before performing quantitative risk analysis. In this paper, we discuss several factors that need to be considered in designing field-sampling programs for toxic air contaminants and in verifying compliance with environmental regulations. Specifically, we examine the behavior of SO2, TSP, and CO data as surrogates for toxic air contaminants and as examples of point source, area source, and line source-dominated pollutants, respectively, from the standpoint of sampling design. We demonstrate the use of bootstrap resampling method and normal theory in estimating the annual mean concentration and its 95% confidence bounds from limited sampling data, and illustrate the application of operating characteristic (OC) curves to determine optimum sample size and other sampling strategies. We also outline a statistical procedure, based on a one-sided t-test, that utilizes the sampled concentration data for evaluating whether a sampling site is compliance with relevant ambient guideline concentrations for toxic air contaminants.     

Implementing a college mental health program – an overview of the first twelve months

Objective: To evaluate the demographics and clinical utilization patterns among college students during the initial 12 months of a novel, multi-disciplinary, collaborative, college mental health program (CMHP). Participants: Undergraduate and graduate students receiving treatment at the CMHP from Jan-Dec 2015. Methods: De-identified data was obtained via electronic health records for all students receiving care through the CMHP. Results: 1.2 FTE clinical providers treated 278 undergraduate and graduate students during the year (65.1% < age 26, 53.6% female, 49.6% caucasian). There were 1822 CMHP outpatient visits, 318 other medical visits and 103 total emergency room (ER)/inpatient visits. Ten students were identified as high utilizers of ER/inpatient services, while charges to the CMHP totaled $470,157 and total charges to the Health System were $2,378,315. Conclusions: Students with complex psychiatric/medical co-morbidities received cost effective, convenient and integrative treatment. Over time, we hope to intervene earlier and decrease ER/inpatient visits.     

Towards a performative understanding of deservingness: Merit,gender and the BBC pay dispute

Drawing largely on a high‐profile case of unequal pay at the BBC (British Broadcasting Corporation) as an illustrative example, this conceptual article considers differences and interrelationships between merit and deservingness, where the latter captures how, through appropriate performances, merit is given recognition and value. We propose a performative understanding of deservingness that highlights its gendered and embodied dimensions. Informed by Judith Butler's account of gender performativity, we show that, while merit is conventionally conceptualized as a relatively fixed set of attributes (qualifications, skill) 'attached' to the individual, deservingness captures how, in gendered terms, value and recognition are both claimed and conferred. As we argue, a gendered, deserving subject does not pre‐exist but is performatively constituted through embodied practices and performances of what is seen as worthy in a particular time and place.     

Uncertainty Analysis Based on Probability Bounds (P-Box) Approach in Probabilistic Safety Assessment

A wide range of uncertainties will be introduced inevitably during the process of performing a safety assessment of engineering systems. The impact of all these uncertainties must be addressed if the analysis is to serve as a tool in the decision-making process. Uncertainties present in the components (input parameters of model or basic events) of model output are propagated to quantify its impact in the final results. There are several methods available in the literature, namely, method of moments, discrete probability analysis, Monte Carlo simulation, fuzzy arithmetic, and Dempster-Shafer theory. All the methods are different in terms of characterizing at the component level and also in propagating to the system level. All these methods have different desirable and undesirable features, making them more or less useful in different situations. In the probabilistic framework, which is most widely used, probability distribution is used to characterize uncertainty. However, in situations in which one cannot specify (1) parameter values for input distributions, (2) precise probability distributions (shape), and (3) dependencies between input parameters, these methods have limitations and are found to be not effective. In order to address some of these limitations, the article presents uncertainty analysis in the context of level-1 probabilistic safety assessment (PSA) based on a probability bounds (PB) approach. PB analysis combines probability theory and interval arithmetic to produce probability boxes (p-boxes), structures that allow the comprehensive propagation through calculation in a rigorous way. A practical case study is also carried out with the developed code based on the PB approach and compared with the two-phase Monte Carlo simulation results.     

Work, employment, and mental illness: expanding the domain of Canadian social work

Despite established evidence that work and employment are an important component of recovery for people who experience mental illness, social work education in Canada seldom offers graduate training or courses on the significance of work in peoples' lives or on the practices involved in helping to gain and retain employment for these individuals. In this article the authors argue that the high levels of unemployment among people who experience mental illness, and the rising incidence of mental health and addictions issues in workplaces, offer the opportunity, as well as the mandate, for social work educators to provide professional education in the area of employment support and assistance.     

A Study of the Promotion to Partner Process in a Professional Services Firm: How Women are Disadvantaged

Increasing numbers of women are attracted to careers in the professional services. However, when their progress is considered to partner positions, it is found that they are not advancing to the levels anticipated. When the literature in relation to the partnership promotion process is explored, we find explanatory models are rare, and rarer yet is work that considers the impact of sex bias on the process. The article adds to the limited work available by presenting findings from a behavioural process perspective through an empirical study with male and female management consultants in a professional services firm which indicates that the promotion to partner process is indeed sex biased. Two areas of disadvantage for women are identified: the presence of a self-managed career advancement process necessitating a proactive approach to demonstrating individual contribution; and the need to ‘fit’ a prevailing model of success within the firm which is a masculine model and is more problematic for women. The article calls for a differentiated treatment of the glass ceiling phenomenon, capable of capturing disadvantage accruing from societally based factors and sector-based factors. The implications of the findings for future research and professional service firms are discussed.     

Human Motivation and Professional Practice: of Knights, Knaves and Social Workers

Efforts to improve the efficiency and responsiveness of public services by harnessing the self‐interest of professionals in state agencies have been widely debated in the recent literature on welfare state reform. In the context of social services, one way in which British policy‐makers have sought to effect such changes has been through the “new community care” of the 1990 NHS and Community Care Act. Key to this is the concept of care management, in which the identification of needs and the provision of services are separated, purportedly with a view to improving advocacy, choice and quality for service users. This paper uses data from a wide‐ranging qualitative study of access to social care for older people to examine the success of the policy in these terms, with specific reference to its attempts to harness the rational self‐interest of professionals. While care management removes one potential conflict of interests by separating commissioning and provision, the responsibility of social care professionals to comply with organizational priorities conflicts with their role of advocacy for their clients, a tension rendered all the more problematic by the perceived inadequacy of funding. Moreover, the bureaucracy of the care management process itself further negates the approach's supposedly client‐centred ethos.     

Social Policy Practice

This paper identifies and discusses issues for a school of social work in the context of collective bargaining. Attention is given to the implications of collective bargaining on a professional social work program. The paper is based on a theoretical framework and an experience of approximately three years in the advent and development of collective bargaining in a large midwestern public university. Major substantive areas discussed have to do with intragroup and intergroup relations among students, community professionals, faculty and administration; the definition of “work” and “work load”; and the reward system for promotion, tenure, and recognition of merit. Major implications relate to the concerns of professionalism, the balancing of. democratic participation and responsible management, and the codification in contract of social work's historical role in participatory decision making.     

Current and Future Particulate‐Matter‐Related Mortality Risks in the United States from Aviation Emissions During Landing and Takeoff

Demand for air travel is projected to increase in the upcoming years, with a corresponding influence on emissions, air quality, and public health. The trajectory of health impacts would be influenced by not just emissions growth, but also changes in nonaviation ambient concentrations that influence secondary fine particulate matter (PM_2.5) formation, population growth and aging, and potential shifts in PM_2.5 concentration‐response functions (CRFs). However, studies to date have not systematically evaluated the individual and joint contributions of these factors to health risk trajectories. In this study, we simulated emissions during landing and takeoff from aircraft at 99 airports across the United States for 2005 and for a 2025 flight activity projection scenario. We applied the Community Multiscale Air Quality (CMAQ) model with the Speciated Modeled Attainment Test (SMAT) to determine the contributions of these emissions to ambient concentrations, including scenarios with 2025 aircraft emissions and 2005 nonaviation air quality. We combined CMAQ outputs with PM_2.5 mortality CRFs and population projections, and evaluated the influence of changing emissions, nonaviation concentrations, and population factors. Given these scenarios, aviation‐related health impacts would increase by a factor of 6.1 from 2005 to 2025, with a factor of 2.1 attributable to emissions, a factor of 1.3 attributable to population factors, and a factor of 2.3 attributable to changing nonaviation concentrations which enhance secondary PM_2.5 formation. Our study emphasizes that the public health burden of aviation emissions would be significantly influenced by the joint effects of flight activity increases, nonaviation concentration changes, and population growth and aging.     

An Integrated Approach for Modeling Sustainability Risks in Freight Transportation Systems

Integrating sustainability into freight transportation systems (FTSs) is a complex and challenging task due to the sheer number of inherent sustainability risks. Sustainability risks disrupt the economic, social and environmental objectives of freight operations and act as impediments in the development of sustainable freight transportation systems. The area of sustainability risk management is still unexplored and immature in the operational research domain. This study addresses these research gaps and contributes in a threefold manner. First, a total of 36 potential sustainability risks related to FTSs are identified and uniquely classified into seven categories using a rigourous approach. Second, the research proposes two prominent perspectives, namely, ontological and epistemological perspectives to understand risks and develops a novel framework for managing sustainability risks in FTSs. Third, a novel approach by integrating fuzzy evidential reasoning algorithm (FERA) with expected utility theory is developed to quantitatively model and profile sustainability risk for different risk preferences, namely, risk-averse, risk-neutral, and risk-taking scenarios. The proposed FERA is a flexible and robust approach, which transforms the experts’ inputs into belief structures and aggregates them using the evidence combination rule proposed in Dempster–Shafer theory to overcome the problem of imprecise results caused by average scoring in existing models. A sensitivity analysis is conducted to demonstrate the robustness of the proposed model. Unlike conventional perception, our study suggests that most of the high priority sustainability risks are behaviorally and socially induced rather than financially driven. The results provide significant managerial implications including a focus on skills development, and on social and behavioral dimensions while managing risks in FTSs.