Towards a dynamic assessment of raw materials criticality: linking agent-based demand--with material flow supply modelling approaches.

Emerging technologies such as information and communication-, photovoltaic- or battery technologies are expected to increase significantly the demand for scarce metals in the near future. The recently developed methods to evaluate the criticality of mineral raw materials typically provide a 'snapshot' of the criticality of a certain material at one point in time by using static indicators both for supply risk and for the impacts of supply restrictions. While allowing for insights into the mechanisms behind the criticality of raw materials, these methods cannot account for dynamic changes in products and/or activities over time. In this paper we propose a conceptual framework intended to overcome these limitations by including the dynamic interactions between different possible demand and supply configurations. The framework integrates an agent-based behaviour model, where demand emerges from individual agent decisions and interaction, into a dynamic material flow model, representing the materials' stocks and flows. Within the framework, the environmental implications of substitution decisions are evaluated by applying life-cycle assessment methodology. The approach makes a first step towards a dynamic criticality assessment and will enhance the understanding of industrial substitution decisions and environmental implications related to critical metals. We discuss the potential and limitation of such an approach in contrast to state-of-the-art methods and how it might lead to criticality assessments tailored to the specific circumstances of single industrial sectors or individual companies

mglur6b:EGFP Transgenic zebrafish suggest novel functions of metabotropic glutamate signaling in retina and other brain regions

Metabotropic glutamate receptors (mGluRs) are mainly known for regulating excitability of neurons. However, mGluR6 at the photoreceptor-ON bipolar cell synapse mediates sign inversion through glutamatergic inhibition. Although this is currently the only confirmed function of mGluR6, other functions have been suggested. Here we present Tg(mglur6b:EGFP)zh1, a new transgenic zebrafish line recapitulating endogenous expression of one of the two mglur6 paralogs in zebrafish. Investigating transgene as well as endogenous mglur6b expression within the zebrafish retina indicates that EGFP and mglur6b mRNA are not only expressed in bipolar cells, but also in a subset of ganglion and amacrine cells. The amacrine cells labeled in Tg(mglur6b:EGFP)zh1 constitute a novel cholinergic, non-GABAergic, non-starburst amacrine cell type described for the first time in teleost fishes. Apart from the retina, we found transgene expression in subsets of periventricular neurons of the hypothalamus, Purkinje cells of the cerebellum, various cell types of the optic tectum, and mitral/ruffed cells of the olfactory bulb. These findings suggest novel functions of mGluR6 besides sign inversion at ON bipolar cell dendrites, opening up the possibility that inhibitory glutamatergic signaling may be more prevalent than currently thought. J. Comp. Neurol. 524:2363-2378, 2016. © 2016 Wiley Periodicals, Inc

Experience with a System Dynamics model in a prospective study on the future impact of ICT on environmental sustainability

To assess the potential impact of ICT on environmental sustainability in the European Union within a time horizon until 2020, we developed a System Dynamics model. In our contribution we make a critical, retrospective evaluation of the model with regard to the requirements and expectations of the project commissioners and of experts involved in the modeling and simulation process. The issues addressed are problem adequacy, validity, transparency, communicability and receptivity of the model. We conclude that modeling approaches that better support a modular model design than System Dynamics does would lead to better results regarding these requirements, and that a modeling language based on a more domain-specific ontology than System Dynamics would be needed to create models that are communicable and have an adequate epistemic connectivity to the scientific and political discourse