Stroke Induces Prolonged Changes in Lipid Metabolism, the Liver and Body Composition in Mice

Acknowledgements We would like to thank the Biological Services Facility at the University of Manchester for expert animal husbandry and Karen Davies who helped with the MRI. The Histology Facility equipment that was used in this study was purchased by the University of Manchester Strategic Fund. Special thanks goes to Peter Walker for their help with the histology. Funding information This work was supported by the Kohn Foundation, an Edward Bonham Carter Doctoral Scholarship, an EPSRC/MRC Centre for Doctoral Training in Regenerative Medicine studentship grant (EP/L014904/1), and the Medical Research Council (MR/K501311/1).Peer reviewedPublisher PD

Collecting and utilising crowdsourced data for numerical weather prediction: propositions from the meeting held in Copenhagen, 4–December 5, 2018

In December 2018, the Danish Meteorological Institute organised an international meeting on the subject of crowdsourced data in numerical weather prediction (NWP) and weather forecasting. The meeting, spanning 2 days, gathered experts on crowdsourced data from both meteorological institutes and universities from Europe and the United States. Scientific presentations highlighted a vast array of possibilities and progress being made globally. Subjects include data from vehicles, smartphones, and private weather stations. Two groups were created to discuss open questions regarding the collection and use of crowdsourced data from different observing platforms. Common challenges were identified and potential solutions were discussed. While most of the work presented was preliminary, the results shared suggested that crowdsourced observations have the potential to enhance NWP. A common platform for sharing expertise, data, and results would help crowdsourced data realise this potential

Investigating route gradient and thermal demand on hydrogen fuel electric bus energy consumption

In 2022 in the UK, the transport sector was the largest single contributing sector to greenhouse gas emissions, responsible 34% of all territorial carbon dioxide emissions [1]. In the UK there is growing uptake in zero emission powertrain technologies, with the most promising variants based on battery electric or hydrogen fuel cell electric configurations. Given the limited number of fuel cell electric buses currently in operation in Europe, vehicle models and simulations are one of the few methods available to estimate energy consumption and provide the necessary increased confidence in operating range. This paper investigates the impact of route characteristics, thermal demand and coefficient of performance of different heat source configurations on the operational energy consumption of fuel cell electric buses. Using a MATLAB/Simulink model, the total energy demand of a vehicle operating in different route/elevation profiles is considered. The findings from this study show that implementing a waste heat recovery system, which recovers excess heat produced by the fuel cell system, in a traditional heat pump based HVAC system can reduce the amount of excess fuel consumption required for providing HVAC services by up to 70% over the course of a duty cycle, so long as high levels of waste heat can be recovered. It also shows that through the use of waste heat recovery systems it is possible to replace the heat pump based HVAC system with a much simpler positive temperature coefficient heater system and still achieve or improve upon the performance of a traditional heat pump based HVAC system

Investigating route gradient and thermal demand on hydrogen fuel cell electric bus energy consumption

In 2022 in the UK, the transport sector was the largest single contributing sector to greenhouse gas emissions, responsible 34% of all territorial carbon dioxide emissions [1]. In the UK there is growing uptake in zero emission powertrain technologies, with the most promising variants based on battery electric or hydrogen fuel cell electric configurations. Given the limited number of fuel cell electric buses currently in operation in Europe, vehicle models and simulations are one of the few methods available to estimate energy consumption and provide the necessary increased confidence in operating range. This paper investigates the impact of route characteristics, thermal demand and coefficient of performance of different heat source configurations on the operational energy consumption of fuel cell electric buses. Using a MATLAB/Simulink model, the total energy demand of a vehicle operating in different route/elevation profiles is considered. The findings from this study show that implementing a waste heat recovery system, which recovers excess heat produced by the fuel cell system, in a traditional heat pump based HVAC system can reduce the amount of excess fuel consumption required for providing HVAC services by up to 70% over the course of a duty cycle, so long as high levels of waste heat can be recovered. It also shows that through the use of waste heat recovery systems it is possible to replace the heat pump based HVAC system with a much simpler positive temperature coefficient heater system and still achieve or improve upon the performance of a traditional heat pump based HVAC system.<br/