Lifeboat Foundation

Study suggests heart rate may be a useful tool to determine where to stimulate the brains of individuals with depressive disorders when brain scans aren’t available.

New research suggests a common brain network exists between heart rate deceleration and depression. By evaluating data from 14 people with no depression symptoms, the team of researchers at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, found stimulating some parts of the brain linked to depression with transcranial magnetic stimulation (TMS), also affected heart rate, suggesting clinicians may be able to target those areas without the use of brain scans that aren’t widely available. The findings were published recently in the journal Nature Mental Health.

Heart-Brain Coupling and TMS.

Groundbreaking maps reveal the complex gene regulation in brains with and without mental disorders, enhancing the understanding of mental illnesses and potential treatments.

A consortium of researchers has produced the largest and most advanced multidimensional maps of gene regulation networks in the brains of people with and without mental disorders. These maps detail the many regulatory elements that coordinate the brain’s biological pathways and cellular functions. The research, supported by the National Institutes of Health (NIH), used postmortem brain tissue from over 2,500 donors to map gene regulation networks across different stages of brain development and multiple brain-related disorders.

“These groundbreaking findings advance our understanding of where, how, and when genetic risk contributes to mental disorders such as schizophrenia, post-traumatic stress disorder, and depression,” said Joshua A. Gordon, M.D., Ph.D., director of NIH’s National Institute of Mental Health (NIMH). “Moreover, the critical resources, shared freely, will help researchers pinpoint genetic variants that are likely to play a causal role in mental illnesses and identify potential molecular targets for new therapeutics.”

The Institute for Molecular Science has launched a Commercialization Preparatory Platform, in collaboration with 10 industry partners, to accelerate the development of “cold (neutral) atom” quantum computers.

Institute for Molecular Science (IMS), National Institutes of Natural Sciences, has established a “Commercialization Preparatory Platform (PF)” to accelerate the development of novel quantum computers, based on the achievement of a research group led by Prof. Kenji Ohmori. The launch of the PF was made possible by collaboration with 10 industry partners, including companies and financial institutions.

The 10 partners that joined the PF include (listed alphabetically): blueqat Inc., Development Bank of Japan Inc., Fujitsu Limited, Groovenauts, Inc., Hamamatsu Photonics K.K., Hitachi, Ltd., and NEC Corporation.

👉 Researchers at the Shanghai Artificial Intelligence Laboratory are combining the Monte Carlo Tree Search (MCTS) algorithm with large language models to improve its ability to solve complex mathematical problems.

Integrating the Monte Carlo Tree Search (MCTS) algorithm into large language models could significantly enhance their ability to solve complex mathematical problems. Initial experiments show promising results.

While large language models like GPT-4 have made remarkable progress in language processing, they still struggle with tasks requiring strategic and logical thinking. Particularly in mathematics, the models tend to produce plausible-sounding but factually incorrect answers.

Continue reading “AI that defeated humans at Go could now help language models master mathematics” »

Researchers in the Netherlands are developing ‘virtually painless’ injections without needles in what they hope is a breakthrough that will ease fear and encourage vaccinations.

#News #Reuters #BubbleGun #NeedleFree #Vaccine.

Continue reading “Dutch develop no-pain needle-free injections” »

Inspired by the materials found in oyster and abalone shells, engineers at Princeton have developed a groundbreaking cement material.

You’ve likely heard that a picture is worth a thousand words, but can a large language model (LLM) get the picture if it’s never seen images before?

A research team has successfully developed a catalyst coating technology that significantly improves the performance of solid oxide fuel cells (SOFCs) in just four minutes.

Sinonus uses technology developed at Chalmers University of Technology in Gothenburg, where researchers have been studying the concept of a structural battery using carbon fibre for years.

Massless batteries have been something of a holy grail for energy storage since 2007, because the weight of the battery effectively disappears once it is part of the load-bearing structure. The Chalmers team, led by professor Leif Asp, is one of the few to find a material that works.

Carbon fibre is known for its strength versus weight.