Researchers at the Pennington Biomedical Research Center conducted a first-of-its-kind study to provide insights into the mechanisms of action of tirzepatide – a drug known as Zepbound™ – on weight loss with respect to energy expenditure, fat oxidation and calorie intake. The study, “Tirzepatide did not impact metabolic adaptation in people with obesity, but increased fat oxidation,” published in Cell Metabolism, showed that tirzepatide decreased participants’ calorie intake at lunch/dinner by reducing appetite while increasing fat oxidation, thus helping participants to lose weight. However, the drug did not decrease the slowing down of their metabolic rate usually observed with weight loss.

 

MIT roboticists developed a way to cut through data noise and help robots focus on the features in a scene that are most relevant for assisting humans. The system could be used in smart manufacturing and warehouse settings where robots would work alongside and assist humans.

Mount Sinai-led research can transform how hospitals triage, risk-stratify, and counsel patients to save lives

The FAU Center for Connected Autonomy and Artificial Intelligence (CA-AI) has received a $799,759 grant from the U.S. Department of Defense to develop a state-of-the-art platform for testing and evaluating connected AI autonomous systems. The funding positions FAU as a national leader in this field and one of the first institutions to host a high-end NVIDIA GPU infrastructure for AI-driven autonomy research.

A research article published by the Beijing Institute of Technology presented a piezoelectric energy harvester (PEH) weighing only 46 milligrams. By matching the thoracic vibration frequency and optimizing the center of gravity distribution of bees, the device achieved high energy output (5.66 V and 1.27 mW/cm³), with experimental verification showing minimal interference with normal flight behaviors.

Researchers from the University of Shanghai for Science and Technology and the University of Illinois Urbana-Champaign have developed and validated a coupled xenon-transport and reactor dynamics model for molten salt reactors. This model enables simulations of dynamic and frequency response of liquid-fueled MSRs, which is validated against a broad spectrum of experiment data from the MSRE. The new simulation framework reveals the unique power-to-flowrate and power-to-void frequency responses of the MSRE. In addition, plant responses during the unique initiating events of off-gas system blockage and loss of circulating voids are simulated.