Functional assessment of in vitro neuronal networks-of relevance for disease modelling and drug testing-can be performed using multi-electrode array (MEA) technology. However, the handling and... Show moreFunctional assessment of in vitro neuronal networks-of relevance for disease modelling and drug testing-can be performed using multi-electrode array (MEA) technology. However, the handling and processing of the large amount of data typically generated in MEA experiments remains a huge hurdle for researchers. Various software packages have been developed to tackle this issue, but to date, most are either not accessible through the links provided by the authors or only tackle parts of the analysis. Here, we present ''MEA-ToolBox'', a free open-source general MEA analytical toolbox that uses a variety of literature-based algorithms to process the data, detect spikes from raw recordings, and extract information at both the single-channel and array-wide network level. MEA-ToolBox extracts information about spike trains, burst-related analysis and connectivity metrics without the need of manual intervention. MEA-ToolBox is tailored for comparing different sets of measurements and will analyze data from multiple recorded files placed in the same folder sequentially, thus considerably streamlining the analysis pipeline. MEA-ToolBox is available with a graphic user interface (GUI) thus eliminating the need for any coding expertise while offering functionality to inspect, explore and post-process the data. As proof-of-concept, MEA-ToolBox was tested on earlier-published MEA recordings from neuronal networks derived from human induced pluripotent stem cells (hiPSCs) obtained from healthy subjects and patients with neurodevelopmental disorders. Neuronal networks derived from patient's hiPSCs showed a clear phenotype compared to those from healthy subjects, demonstrating that the toolbox could extract useful parameters and assess differences between normal and diseased profiles. Show less
AbstractThe world is shifting to electric vehicles to mitigate climate change. Here, we quantify the future demand for key battery materials, considering potential electric vehicle fleet and... Show moreAbstractThe world is shifting to electric vehicles to mitigate climate change. Here, we quantify the future demand for key battery materials, considering potential electric vehicle fleet and battery chemistry developments as well as second-use and recycling of electric vehicle batteries. We find that in a lithium nickel cobalt manganese oxide dominated battery scenario, demand is estimated to increase by factors of 18–20 for lithium, 17–19 for cobalt, 28–31 for nickel, and 15–20 for most other materials from 2020 to 2050, requiring a drastic expansion of lithium, cobalt, and nickel supply chains and likely additional resource discovery. However, uncertainties are large. Key factors are the development of the electric vehicles fleet and battery capacity requirements per vehicle. If other battery chemistries were used at large scale, e.g. lithium iron phosphate or novel lithium-sulphur or lithium-air batteries, the demand for cobalt and nickel would be substantially smaller. Closed-loop recycling plays a minor, but increasingly important role for reducing primary material demand until 2050, however, advances in recycling are necessary to economically recover battery-grade materials from end-of-life batteries. Second-use of electric vehicles batteries further delays recycling potentials. Show less
Wray, N.R.; Ripke, S.; Mattheisen, M.; Trzaskowski, M.; Byrne, E.M.; Abdellaoui, A.; ... ; Major Depressive Disorder Working 2018
Sustainability challenges raised by built environment development are two-folds: on the inflow side these include resource depletion and emission problems due to material production (pre-use); on... Show moreSustainability challenges raised by built environment development are two-folds: on the inflow side these include resource depletion and emission problems due to material production (pre-use); on the outflow side they include problems of construction and demolition waste (after-use). Understanding how the future construction inflow and demolition outflow will develop is essential for early recognition of these problems. A traditional approach is through extrapolation, which is risky because changes of trends may occur. A Dynamic Material Flow Analysis approach, based on the Law of Mass Preservation, provides a better framework for long-term projection. The challenge is to understand the dynamics of the built environment stocks. It is especially true for the emerging countries, where the combined influences of rapid economic development and urbanization have to be considered but are yet rarely investigated. This thesis develops the currently available approaches by including general socio-economic and specific urbanization-driven factors in China. Case studies on Chinese housing stock dynamics indicate: demolition activities in Chinese cities will continue to grow throughout the rest of the 21st century; a shrinking demand for residential steel may be expected over the next few decades, which may lead to a decrease in global steel consumption of up to 10%. Show less
