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Blog – Page 14

A groundbreaking international study, led by scientists from Ben-Gurion University of the Negev, has mapped the diverse populations of fat cells across different human fat tissues. Using advanced technology, researchers identified distinct subpopulations of fat cells with more complex functions than previously understood. They also discovered variations in how fat tissues communicate at the cellular level.

Published in Nature Genetics, these findings lay the foundation for future research aimed at advancing personalized medicine for obesity.

The research team, led by Prof. Esti Yeger-Lotem and Prof. Assaf Rudich from the Department of Clinical Biochemistry and Pharmacology at the Faculty of Health Sciences at Ben-Gurion University of the Negev, in collaboration with Prof. Naomi Habib from the Hebrew University of Jerusalem, Profs. Matthias Bluher, Antje Korner and Martin Gericke from the University of Leipzig, Germany, and Prof. Rinki Murphy from the University of Auckland, New Zealand, studied the diversity of fat cells in subcutaneous and intra-abdominal (visceral) fat tissues in humans.

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Researchers are investigating fluid-robot interactions at these scales, motivated by fish that use vortices to save energy. Onboard sensing, computation, and actuation are essential for effective navigation. Despite their potential, data-driven algorithms frequently lack practical validation.

Using inertial measurements to infer background flows is a new approach that was motivated by fish’s vestibular systems’ ability to sense acceleration. This method provides an affordable substitute for intricate flow sensors in self-driving cars.

In this regard, the Caltech team developed an underwater robot that uses these flows to reduce energy consumption by “surfing” vortices to reach its destination.

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The advancement can enable turbulent analysis of entire nuclear fusion reactors.

“By utilizing deep learning on GPUs, we have reduced computation time by a factor of 1,000 compared to traditional CPU-based codes,” said the joint research team.

“This advancement represents a cornerstone for digital twin technologies, enabling turbulent analysis of entire nuclear fusion reactors or replicating real Tokamaks in a virtual computing environment.”

Researchers underlined that the proposed FPL-net can solve the FPL equation in a single step, achieving results 1,000 times faster than previous methods with an error margin of just one-hundred-thousandth, demonstrating exceptional accuracy.

Continue reading “Fusion plasma prediction gets 1,000x boost with deep learning model” | >

Summary: A new study challenges the long-held belief that the striatum is responsible for selecting actions. Researchers found that instead of making decisions, the striatum and motor cortex work together to specify movement details, such as how to reach for an object.

Using a novel “reach-to-pull” system, they recorded neural activity in mice and found that both regions were active during movement execution, not decision-making. These findings could reshape our understanding of motor control and help improve treatments for movement disorders like Parkinson’s and Huntington’s disease.

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Quantum tech could provide high-precision alternatives to GPS for targeting or sonar for hunting submarines. But the same hyper-sensitivity that makes them such good sensors also makes them fatally vulnerable to interference – so far. A new DARPA program aims to change that.

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A huge cybercriminal campaign has been spotted utilizing outdated and vulnerable Windows drivers to deploy malware against victims. The campaign originated in China, and the majority of the victims are also located in China.

An in-depth article published by cybersecurity researchers Check Point said the attackers identified a vulnerability in the Truesight.sys driver, version 2.0.2. This is an older version, known to allow arbitrary process termination.

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