Transatlantic collaboration to develop therapeutic for Crimean-Congo Hemorrhagic Fever
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Updates every hour. Last Updated: 25-Apr-2025 02:08 ET (25-Apr-2025 06:08 GMT/UTC)
A study by Dartmouth researchers lays out a scientific framework for holding individual fossil fuel companies liable for the costs of climate change by tracing specific damages back to their emissions. The researchers use the tool to provide the first causal estimate of economic losses due to extreme heat driven by emissions. They report that carbon dioxide and methane output from just 111 companies cost the world economy $28 trillion from 1991 to 2020, with the five top-emitting firms linked to $9 trillion of those losses.
The iconic pea plant experiments of Gregor Mendel laid the foundations for the science of genetics.
Now 160 years on, an international research collaboration has used genomics, bioinformatics and genetics to map the diversity of a globally important pea collection – revealing secrets behind the traits that Mendel made famous and uncovering agriculturally useful genetic diversity on an unprecedented scale.
MIT researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier for chemists to design reactions that could generate a variety of useful compounds, such as pharmaceuticals or fuels.
Scientists have achieved a major milestone in the quest to understand high-temperature superconductivity in hydrogen-rich materials. Using an electron tunneling spectroscopy under high pressure, the international research team led by the Max Planck Institute for Chemistry has measured the superconducting gap of H₃S – the material that set the high-pressure superconductivity record in 2015 and serves as the parent compound for subsequent high-temperature superconducting hydrides. The findings, published this week in Nature, provide the first direct microscopic evidence of superconductivity in hydrogen-rich materials and an important step toward its scientific understanding.
In the realm of smart manufacturing and digital engineering, a new technology named Data-Model Fusion (DMF) is gaining traction. A review paper in Engineering details how DMF integrates model-based and data-driven methods, addresses their limitations, and finds applications across the product lifecycle. It also explores DMF’s future directions, showing its potential to reshape industrial processes.