Development of a Preliminary Framework for Informing the Risk Analysis and Risk Management of Nanoparticles

Decisions are often made even when there is uncertainty about the possible outcomes. However, methods for making decisions with uncertainty in the problem framework are scarce. Presently, safety assessment for a product containing engineered nano-scale particles is a very poorly structured problem. Many fields of study may inform the safety assessment of such particles (e.g., ultrafines, aerosols, debris from medical devices), but engineered nano-scale particles may present such unique properties that extrapolating from other types of studies may introduce, and not resolve, uncertainty. Some screening-level health effects studies conducted specifically on engineered nano-scale materials have been published and many more are underway. However, it is clear that the extent of research needed to fully and confidently understand the potential for health or environmental risk from engineered nano-scale particles may take years or even decades to complete. In spite of the great uncertainty, there is existing research and experience among researchers that can help to provide a taxonomy of particle properties, perhaps indicating a relative likelihood of risk, in order to prioritize nanoparticle risk research. To help structure this problem, a framework was developed from expert interviews of nanotechnology researchers. The analysis organizes the information as a system based on the risk assessment framework, in order to support the decision about safety. In the long term, this framework is designed to incorporate research results as they are generated, and therefore serve as a tool for estimating the potential for human health and environmental risk.     

'I can see parents being reluctant': perceptions of parental involvement using child and family teams in schools

The purpose of this study is to examine the attitudes beliefs, and perceptions of school and community personnel regarding parental involvement via the implementation of child and family team meetings. Interviews were conducted with 10 school and community personnel in a high school in a small county in the south-eastern region of the USA. Several themes emerged from the data, including the definition of parental involvement, parental work and life circumstances, and parental esteem and position within schools. Findings suggest that school and community personnel hold conflicting beliefs regarding parents' desire and ability to be involved in their children's schooling. Recommendations for social work practitioners' implementation of child and family team meetings in the school context are provided.     

Relationships Among Caregiving,Income, Gender,and Health: A Cross-Sectional Examination of a Representative Sample of Older Americans

Although there is substantial evidence to support the effect of burden on caregivers, few studies have compared caregivers to their noncaregiving counterparts on the basis of health and well-being outcomes. This study examines the relationship between caregiving and health and whether other factors may have stronger influence on well-being measures. Using a nationally representative sample of older adults in the United States (N = 3,005), this study examines relationships between caregiving status, gender, and income, and 9 outcomes (self-rated physical and mental health, time since seeing a doctor, time since most recent pap smear or prostate-specific antigen [PSA] test, depression, loneliness, stress, anxiety), using logistic and linear regression models. Results support that paradoxically, caregiving was associated with increased likelihood of PSA test in male caregivers, although data also indicated higher levels of anxiety and stress, as might be expected. Income was associated with 8 of 9 outcomes, and gender predicted depression, anxiety, stress, and self-rated mental health. The study highlighted the importance of psychosocial stressors, such as income and gender, on the health outcomes of older adults who may be caregiving. Considering complexity of unique experience is necessary to accurately assess vulnerability to poor mental health or health-related outcomes.     

Automations influence on nuclear power plants: a look at three accidents and how automation played a role

Nuclear power is one of the ways that we can design an efficient sustainable future. Automation is the primary system used to assist operators in the task of monitoring and controlling nuclear power plants (NPP). Automation performs tasks such as assessing the status of the plant's operations as well as making real time life critical situational specific decisions. While the advantages and disadvantages of automation are well studied in variety of domains, accidents remind us that there is still vulnerability to unknown variables. This paper will look at the effects of automation within three NPP accidents and incidents and will consider why automation failed in preventing these accidents from occurring. It will also review the accidents at the Three Mile Island, Chernobyl, and Fukushima Daiichi NPP's in order to determine where better use of automation could have resulted in a more desirable outcome.     

Modeling the Dose Response Relationship of Waterborne Acanthamoeba

This study developed dose response models for determining the probability of eye or central nervous system infections from previously conducted studies using different strains of Acanthamoeba spp. The data were a result of animal experiments using mice and rats exposed corneally and intranasally to the pathogens. The corneal inoculations of Acanthamoeba isolate Ac 118 included varied amounts of Corynebacterium xerosis and were best fit by the exponential model. Virulence increased with higher levels of C. xerosis. The Acanthamoeba culbertsoni intranasal study with death as an endpoint of response was best fit by the beta‐Poisson model. The HN‐3 strain of A. castellanii was studied with an intranasal exposure and three different endpoints of response. For all three studies, the exponential model was the best fit. A model based on pooling data sets of the intranasal exposure and death endpoint resulted in an LD₅₀ of 19,357 amebae. The dose response models developed in this study are an important step towards characterizing the risk associated with free‐living amoeba like Acanthamoeba in drinking water distribution systems. Understanding the human health risk posed by free‐living amoeba will allow for quantitative microbial risk assessments that support building design decisions to minimize opportunities for pathogen growth and survival.     

Internationalising colleges of education through the dialectic of the global and the local? A perspective and possible pathways from the American South

Most schooling disproportionately emphasises national affairs at the expense of more global and local phenomena. Students’ resulting nation bias can be resituated both internationally and more locally by integrating internationalisation policies with place-based education approaches, which help to illuminate these different levels and, particularly, the extensive and complex interconnections between them. This task is particularly critical for colleges of education, where higher education internationalisation policies have the greatest potential to expand the perspectives of public school students. This article uses three cases drawn from the authors’ teaching and local service initiatives to illustrate the educational potential for future teachers and school administrators of working to broaden students’ perspectives through a ‘dialectic of the global and the local’.