Suchergebnisse

An impressive portfolio of case-study research has now demonstrated how and through what means the BRICS (Brazil, Russia, India, China, South Africa) countries have sought higher social status. However, this field of research lacks systematic means of evaluating this status-seeking. This article fills this lacuna by developing a mixed-methods framework enabling scholars to zoom in and compare individual states' relative status performance. Using diplomatic representation as a proxy for status recognition and comparing it to a country's status resources (wealth), the framework indicates how successfully countries have generated recognition from the international society. The findings show that China's economic ascent has been matched by increased recognition, and that South Africa enjoyed an almost immediate 'status bounce' following apartheid, turning it from a pariah to a significant overperformer. Russia should be understood as an 'overperforming status-dissatisfied power' while India's status performance has been around 'par' for a country of its economic resources. Lastly, Brazil underperforms more than any of the other BRICS, especially since its democratic transition. The findings highlight considerable variance in the type and duration of gaps between status resource and recognition and suggests that rather than treating these as 'inconsistencies' awaiting correction, they can and should be accounted for by case study analyses. ; acceptedVersion

Abstract
Current prioritisation procedures under the EU Water Framework Directive (WFD) do not account for risks from chemical mixtures. SOLUTIONS proposes a multiple-lines-of-evidence approach to tackle the problem effectively. The approach merges all available evidence from co-exposure modelling, chemical monitoring, effect-based monitoring, and ecological monitoring. Full implementation of the proposed methodology requires changes in the legal text in adaptation to scientific progress.

Current prioritisation procedures under the EU Water Framework Directive (WFD) do not account for risks from chemical mixtures. SOLUTIONS proposes a multiple-lines-of-evidence approach to tackle the problem effectively. The approach merges all available evidence from co-exposure modelling, chemical monitoring, effect-based monitoring, and ecological monitoring. Full implementation of the proposed methodology requires changes in the legal text in adaptation to scientific progress.

Current prioritisation procedures under the EU Water Framework Directive (WFD) do not account for risks from chemical mixtures. SOLUTIONS proposes a multiple-lines-of-evidence approach to tackle the problem effectively. The approach merges all available evidence from co-exposure modelling, chemical monitoring, effect-based monitoring, and ecological monitoring. Full implementation of the proposed methodology requires changes in the legal text in adaptation to scientific progress.

In conjunction with the second International Environmental Omics Symposium (iEOS) conference, held at the University of Liverpool (United Kingdom) in September 2014, a workshop was held to bring together experts in toxicology and regulatory science from academia, government and industry. The purpose of the workshop was to review the specific roles that high-content omics datasets (eg, transcriptomics, metabolomics, lipidomics, and proteomics) can hold within the adverse outcome pathway (AOP) framework for supporting ecological and human health risk assessments. In light of the growing number of examples of the application of omics data in the context of ecological risk assessment, we considered how omics datasets might continue to support the AOP framework. In particular, the role of omics in identifying potential AOP molecular initiating events and providing supportive evidence of key events at different levels of biological organization and across taxonomic groups was discussed. Areas with potential for short and medium-term breakthroughs were also discussed, such as providing mechanistic evidence to support chemical read-across, providing weight of evidence information for mode of action assignment, understanding biological networks, and developing robust extrapolations of species-sensitivity. Key challenges that need to be addressed were considered, including the need for a cohesive approach towards experimental design, the lack of a mutually agreed framework to quantitatively link genes and pathways to key events, and the need for better interpretation of chemically induced changes at the molecular level. This article was developed to provide an overview of ecological risk assessment process and a perspective on how high content molecular-level datasets can support the future of assessment procedures through the AOP framework.