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IMAGE: The NTU Asian School of the Environment team behind the study of ancient corals in Indonesia include (L-R): Associate Professor Emma Hill, PhD student Rishav Mallick and Assistant Professor Aron. view more
Credit: NTU Singapore
A slow-motion earthquake lasting 32 years - the slowest ever recorded - eventually led to the catastrophic 1861 Sumatra earthquake, researchers at the Nanyang Technological University, Singapore (NTU Singapore) have found.
The NTU research team says their study highlights potential missing factors or mismodelling in global earthquake risk assessments today. Slow motion earthquakes or slow slip events refer to a type of long, drawn-out stress release phenomenon in which the Earth s tectonic plates slide against one another without causing major ground shaking or destruction. They typically involve movements of between a few cm/year to cm/day.
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IMAGE: The NTU Asian School of the Environment team behind the study of ancient corals in Indonesia include (L-R): Associate Professor Emma Hill, PhD student Rishav Mallick and Assistant Professor Aron. view more
Credit: NTU Singapore
A slow-motion earthquake lasting 32 years - the slowest ever recorded - eventually led to the catastrophic 1861 Sumatra earthquake, researchers at the Nanyang Technological University, Singapore (NTU Singapore) have found.
The NTU research team says their study highlights potential missing factors or mismodelling in global earthquake risk assessments today. Slow motion earthquakes or slow slip events refer to a type of long, drawn-out stress release phenomenon in which the Earth s tectonic plates slide against one another without causing major ground shaking or destruction. They typically involve movements of between a few cm/year to cm/day.
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IMAGE: Quantitative MR images of the liver from six patients presenting with liver cancer produced by Perspectum s LiverMultiScan which will be used in a new study led by National Cancer Centre. view more
Credit: Image credit: Mole DJ et al. Plos One. 2020;15(12):e0238568
Only 20% of primary liver cancer or hepatocellular carcinoma (HCC) are diagnosed at an early stage, which makes early detection an urgent, unmet healthcare need.
Study aims to develop more accurate diagnostics for early HCC, an AI algorithm to predict an individual s risk of developing HCC, and discover novel molecular targets to prevent the development of HCC.
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