ETH Zurich
ETH Zurich researchers study one of the world’s darkest rivers
Research
ETH Zurich
They set out to study the Congo Basin’s carbon cycle and in the process have become aware of one of the world’s darkest blackwater rivers: the Ruki. In the first study on this major jungle river, an international research team led by ETH Zurich explains how this blackness comes about and what it says about the river system’s carbon balance.
Closer partnership between ETH Zurich and the United Nations
Politics
ETH Zurich
ETH Zurich and the United Nations have confirmed their desire to work together more closely by signing a memorandum of understanding. The partnership is intended to support the development of technology-based social innovations for addressing global challenges.
Heavy trucks likely not zero-emission in the near future
Research
ETH Zurich
Without political measures for zero-emission technologies, a significant proportion of heavy goods vehicles will still run on diesel in 2035. This result is shown in a new ETH Zurich study on the decarbonisation of truck traffic.
“We’re living in yesterday’s future scenarios”
Politics
ETH Zurich
ETH Professor Sonia Seneviratne has been elected as Vice-Chair of the Working Group I of the Bureau of the Intergovernmental Panel on Climate Change (IPCC). In order to take on this new responsibility, she is stepping down as Associate Vice President for Sustainability at ETH Zurich. In this interview she talks about her old and new positions.
Increased deep sleep benefits your heart
Research
ETH Zurich
Stimulating the brain with gentle sounds during deep sleep significantly enhances cardiac function, according to a new study. This discovery could have implications not only for cardiovascular diseases but also for competitive sports, among other areas.
Predictions of the effect of drugs on individual cells are now possible
Research
ETH Zurich
Experts from ETH Zurich, the University of Zurich, and the University Hospital Zurich have used machine learning to jointly create an innovative method. This new approach can predict how individual cells react to specific treatments, offering hope for more accurate diagnoses and therapeutics.
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