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Researchers at University of California San Diego School of Medicine have published results that shed new light on an old question: what causes aging at the molecular level? Their findings, published in Nature Aging, describe a never-before-seen link between the two most accepted explanations: random genetic mutations and predictable epigenetic modifications. The latter, also known as the epigenetic clock theory, has been widely used by scientists as a consistent, quantitative measure of biological aging.

However, the new research suggests that the process may not be so simple.

“Major research institutions and companies are betting on turning back the epigenetic clock as a strategy to reverse the effects of aging, but our research suggests that this may only be treating a symptom of aging, not the underlying cause,” said co-corresponding author Trey Ideker, Ph.D., a professor at UC San Diego School of Medicine and UC San Diego Jacobs School of Engineering.

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A global team has made a significant advance in understanding how bacterial plasmids contribute to antibiotic resistance.

Their findings reveal a complex mechanism involving the proteins KorB and KorA, which could lead to innovative treatments to weaken drug-resistant bacteria.

Breakthrough in Bacterial Resistance Research.

The space debris problem won’t solve itself. We’ve been kicking the can down the road for years as we continue launching more rockets and payloads into space.

In the last couple of years, organizations – especially the European Space Agency (ESA) – have begun to address the problem more seriously.

Now they’re asking this question: What will it take to reach zero space debris?

TVA has selected the BWRX-300 SMR for potential deployment at the Clinch River Site near Oak Ridge, Tennessee. If the funding is approved, TVA plans to accelerate construction of the first SMR, with commercial operations planned for 2033.

“Nuclear power has a key role to play in reaching a cleaner and more secure energy future,” said Scott Strazik, CEO, GE Vernova.

“Funding from this grant would play a critical role in the path forward, and we look forward to working with TVA and this strong team of utility and supply chain partners to accelerate the roll-out of small modular reactors in the United States.”

Understanding how people perceive and interpret uncertainty from large language models (LLMs) is crucial, as users often overestimate LLM accuracy, especially with default explanations. Steyvers et al. show that aligning LLM explanations with their internal confidence improves user perception.