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Microsoft warns of high-severity flaw in hybrid Exchange deployments

Microsoft has warned customers to mitigate a high-severity vulnerability in Exchange Server hybrid deployments that could allow attackers to escalate privileges in Exchange Online cloud environments undetected.

Exchange hybrid configurations connect on-premises Exchange servers to Exchange Online (part of Microsoft 365), allowing for seamless integration of email and calendar features between on-premises and cloud mailboxes, including shared calendars, global address lists, and mail flow.

However, in hybrid Exchange deployments, on-prem Exchange Server and Exchange Online also share the same service principal, which is a shared identity used for authentication between the two environments.

New model explains plutonium’s peculiar behavior

Normally, materials expand when heated. Higher temperatures cause atoms to vibrate, bounce around and take up a larger volume. However, for one specific phase of plutonium—called delta-plutonium—the opposite inexplicably occurs: it shrinks above room temperature.

As part of its national security mission, Lawrence Livermore National Laboratory (LLNL) aims to predict the behavior of plutonium in all of its phases. Unraveling the mystery behind delta-plutonium’s abnormal behavior at high temperatures is an important piece of the picture.

In a new study, published in Reports on Progress in Physics, researchers from LLNL demonstrate a model that can reproduce and explain delta-plutonium’s thermal behavior and unusual properties. The model calculates the material’s free energy, a quantity that reflects the amount of available or useful energy in a system.

Machine learning model helps scientists understand deadly cone snail toxins

Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with the human body, making this an area of interest for medical drug research and an area of concern in national security spaces. For the first time, a team at Los Alamos National Laboratory has successfully trained a machine learning model that predicts how alpha conotoxins bind to specific human receptor subtypes, which could help researchers develop lifesaving anti-toxins.

“Because of the diversity and complexity of natural conotoxins, it is estimated that only 2% of them have been sequenced,” said Gnana Gnanakaran, theoretical biologist at Los Alamos. “No antidotes exist for conotoxins, but by using machine learning to predict conotoxin binding, we now have the ability to develop tools to understand and respond to these threats.”

The deadly secretions issued by any one of the more than 800 cone snail species represent a conglomeration of more than 1 million natural conotoxins. The research team concentrated their machine learning work on alpha conotoxins, a particularly prevalent and deadly conotoxin family.

Magnetizing the Future of Quantum Communication: Single-Photon Emission from Defective Tungsten Diselenide

Quantum communication is one of the most exciting frontiers in secure data transmission. Now, a groundbreaking discovery by researchers at Kyoto University offers a major leap forward: a single-photon source created using defective tungsten diselenide (WSe2), enhanced under the influence of a magnetic field. The result? A powerful and controllable emitter that could revolutionize quantum information technologies.

The original article can be accessed at: Phys.org.

Transportation @ PNNL: Eliminating Critical Materials in Batteries

Pacific Northwest National Laboratory draws on its distinguishing strengths in chemistry, Earth sciences, biology and data science to advance scientific knowledge and address challenges in energy resiliency and national security. Founded in 1965, PNNL is operated by Battelle and supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit the DOE Office of Science website. For more information about PNNL, visit PNNL’s News Center. Follow us on X, Facebook, LinkedIn and Instagram.

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