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Science News Archive December 2020 - Page 39


Page 39 of 39

How automated vehicles can impede driver performance, and what to do about it

A University of Toronto study found that drivers can become over-reliant on automated vehicle displays, leading to decreased monitoring of the road. In contrast, an in-vehicle display system providing information on surrounding traffic showed promise in ensuring driving safety by keeping drivers engaged and attentive.

SourceUniversity of Toronto Faculty of Applied Science & Engineering·JournalAccident Analysis & Prevention·DateDec 1, 2020

Study sheds light on immune mechanism that triggers cytokine storm typical of COVID-19

Researchers found that inflammasomes, a type of immune cell complex, are activated in response to SARS-CoV-2 infection, leading to excessive inflammation and potentially life-threatening complications. The study provides new insights into the disease's progression and suggests potential therapeutic targets.

SourceFundação de Amparo à Pesquisa do Estado de São Paulo·JournalJournal of Experimental Medicine·DateDec 1, 2020

AI predicts which drug combinations kill cancer cells

A machine learning model developed in Finland can identify best cancer drug combinations to selectively kill specific cancer cells with unique genetic or functional profiles. The AI model accurately predicts how different drug combinations inhibit particular cancer cells, paving the way for more effective cancer treatments.

SourceAalto University·JournalNature Communications·DateDec 1, 2020

Hydrogen-powered heavy duty vehicles could contribute significantly to achieving climate goals

A transition to hydrogen-powered mobility in Germany's heavy duty vehicle segment could achieve a deep reduction in emissions, with potential of -57 MtCO2eq annually. Green hydrogen offers competitive advantages over battery electric vehicles, particularly for heavy loads and longer driving ranges.

SourceResearch Institute for Sustainability (RIFS) – Helmholtz Centre Potsdam·JournalInternational Journal of Hydrogen Energy·DateDec 1, 2020

AI reduces computational time required to study fate of molecules exposed to light

Scientists from the University of Groningen developed a machine learning-based algorithm, PySurf, which reduces electronic structure calculations significantly. The software requires several orders of magnitude less computational time than existing direct dynamics software and is available as an open-source free download.

SourceUniversity of Groningen·JournalJournal of Chemical Theory and Computation·DateDec 1, 2020