Analyzing Stimulus-Stimulus Pairing Effects on Preferences for Speech Sounds

Several studies have demonstrated effects of stimulus-stimulus pairing (SSP) on children's vocalizations, but numerous treatment failures have also been reported. The present study attempted to isolate procedural variables related to failures of SSP to condition speech sounds as reinforcers. Three boys diagnosed with autism-spectrum disorders participated. Phase 1 was designed to assess SSP effects on production of auditory stimuli via button pressing. When SSP failed to produce a preference for the target stimulus, we instituted a series of procedural manipulations intended to address potential reasons for failure. One participant preferred the target stimulus when given the opportunity to select preferred items for pairing prior to each session, but a subsequent reversal attempt produced ambiguous results. Two participants showed no consistent preference in Phase 1 and underwent a within-session reinforcer evaluation in Phase 2, in which alternative controlling variables were demonstrated by delivering preferred stimuli contingent on button pressing.     

An eco-social approach to tackling social exclusion in European cities: A new comparative research project in progress

In this article we would like to introduce a three-year Research Project called 'New Local Policies against Social Exclusion in European Cities', financed by the Targeted Socio-Economic Research Program (TSER) of the European Union. We will briefly highlight the entire research project that aims to make a contribution to European debate about social exclusion within social work (see also Washington and Paylor 1998), as well as social work's theoretical knowledge and field projects. The specific emphasis is on analysing the significance of the eco-social environment and citizen participation in disadvantaged residential areas, but related work aims to develop new kinds of action models and research methods. The project started in January 1998 in Finland, Germany, and Great Britain, and it will be completed by the end of 2000. Our research is a unique kind of cross-national comparative case-context research, based on classic ideas of action research and comparative research. Overall, the project aims through a European exchange to develop innovative models of local policies, particularly within community-based social work.     

Influence of Distributional Shape of Substance Parameters on Exposure Model Output

Uncertainty of environmental concentrations is calculated with the regional multimedia exposure model of EUSES 1.0 by considering probability input distributions for aqueous solubility, vapor pressure, and octanol-water partition coefficient, K(ow). Only reliable experimentally determined data are selected from available literature for eight reference chemicals representing a wide substance property spectrum. Monte Carlo simulations are performed with uniform, triangular, and log-normal input distributions to assess the influence of the choice of input distribution type on the predicted concentration distributions. The impact of input distribution shapes on output variance exceeds the effect on the output mean by one order of magnitude. Both are affected by influence and uncertainty (i.e., variance) of the input variable as well. Distributional shape has no influence when the sensitivity function of the respective parameter is perfectly linear. For nonlinear relationships, overlap of probability mass of input distribution with influential ranges of the parameter space is important. Differences in computed output distribution are greatest when input distributions differ in the most influential parameter range.     

Climate Change and Human Health: Estimating Avoidable Deaths and Disease

Human population health has always been central in the justification for sustainable development but nearly invisible in the United Nations Framework Convention on Climate Change negotiations. Current scientific evidence indicates that climate change will contribute to the global burden of disease through increases in diarrhoeal disease, vector-borne disease, and malnutrition, and the health impacts of extreme weather and climate events. A few studies have estimated future potential health impacts of climate change but often generate little policy-relevant information. Robust estimates of future health impacts rely on robust projections of future disease patterns. The application of a standardized and established methodology has been developed to quantify the impact of climate change in relation to different greenhouse gas emission scenarios. All health risk assessments are necessarily biased toward conservative best-estimates of health effects that are easily measured. Global, regional, and national risk assessments can take no account of irreversibility, or plausible low-probability events with potentially very high burdens on human health. There is no "safe limit" of climate change with respect to health impacts as health systems in some regions do not adequately cope with the current climate variability. Current scientific methods cannot identify global threshold health effects in order for policymakers to regulate a "tolerable" amount of climate change. We argue for the need for more research to reduce the potential impacts of climate change on human health, including the development of improved methods for quantitative risk assessment. The large uncertainty about the future effects of climate change on human population health should be a reason to reduce greenhouse gas emissions, and not a reason for inaction.     

Determinants of species richness within and across taxonomic groups in urban green spaces

Urban green spaces provide habitat for numerous plant and animal species. However, currently we have little knowledge on which determinants drive the species richness within and across taxonomic groups. In this paper we investigate the determinants of total, native, and endangered species richness for vascular plants, birds, and mammals within and across taxonomic groups. We examined a stratified random sample of 32 urban green spaces in Hannover, Germany. Species inventories for plants and birds were generated on the basis of line transect surveys. Mammals were surveyed by means of point counts using camera traps. Using a principal component analysis and multiple regression models, we tested 10 explanatory variables for species-area effects, distance effects, and the effects of habitat structure of green spaces on species richness. When analyzing single explanatory variables, we determined that the species richness of all groups was significantly positively correlated to patch area, number of habitat types, and a short distance to the nearest green space. Testing combined effects of variables showed that patch area in combination with habitat heterogeneity was most important for plants (total, native, and endangered), birds (total and native), and overall species richness. This emphasizes the importance of the species-area effect and the effects of habitat structure on species richness in urban green spaces. We conclude that, in the context of urban planning, it is important to conserve large green spaces that include a high diversity of habitats to maintain high species richness.     

Transfer of control system interface solutions from other domains to the thermal power industry

In a thermal power plant the operators' roles are to control and monitor the process to achieve efficient and safe production. To achieve this, the human-machine interfaces have a central part. The interfaces need to be updated and upgraded together with the technical functionality to maintain optimal operation. One way of achieving relevant updates is to study other domains and see how they have solved similar issues in their design solutions. The purpose of this paper is to present how interface design solution ideas can be transferred from domains with operator control to thermal power plants. In the study 15 domains were compared using a model for categorisation of human-machine systems. The result from the domain comparison showed that nuclear power, refinery and ship engine control were most similar to thermal power control. From the findings a basic interface structure and three specific display solutions were proposed for thermal power control: process parameter overview, plant overview, and feed water view. The systematic comparison of the properties of a human-machine system allowed interface designers to find suitable objects, structures and navigation logics in a range of domains that could be transferred to the thermal power domain.     

Ecosocial innovations enabling social work to promote new forms of sustainable economy

Social work research and practice that address environmental sustainability have already become prominent. However, a change in unsustainable economic structures is also urgently needed. This study explored emerging opportunities in theory and practice for a sustainable economy that are relevant to the aims of social work. As practical examples, our study concerns ‘ecosocial innovations’, i.e., social innovations that combine ecological and social goals. We analysed how these grassroots innovations in the field of social work reflect crucial shared conceptions of alternative economies. The qualitative data set comprised of 50 ecosocial innovations and six case studies in five European countries. The findings show a rich diversity of ecosocial innovations and describe how they reframe economic purposes, value economic diversity and democratise the economy. We suggest that social work might consider these practices as opportunities for collaboration, especially regarding work with people on the margins of the labour market.