Lifeboat Foundation

Cleveland Clinic researchers have made a significant discovery about how the gut microbiome interacts with cells to cause cardiovascular disease. The study published in Nature Communications found that phenylacetylglutamine (PAG), produced by gut bacteria as a waste product, then absorbed and formed in the liver, interacts with previously undiscovered locations on beta-2 adrenergic receptors on heart cells once it enters the circulation.

PAG was shown to interact with beta-2 adrenergic receptors to influence how forcefully the heart muscle cells contract—a process that investigators believe contributes to heart failure. Researchers showed mutating parts of the beta-2 adrenergic receptor that were previously thought to be unrelated to signaling activity in preclinical models prevented PAG from depressing the function of the receptor.

This is the latest in a series of investigations into PAG, led by Stanley Hazen, MD, Ph.D., chair of Cardiovascular and Metabolic Sciences in Cleveland Clinic’s Lerner Research Institute and co-section head of Preventive Cardiology. Dr. Hazen’s lab previously demonstrated that elevated circulating levels of PAG in subjects are associated with heightened risk for developing heart failure, and lead to worse outcomes for patients with heart failure.

Australia on Wednesday approved plans for a massive solar and battery farm that would export energy to Singapore, a project it calls the “largest solar precinct in the world”

Authorities announced environmental approvals for SunCable’s US$24 billion project in Australia’s remote north that is slated to power 3million homes.

The project, which will include an array of panels, batteries and, eventually, a cable linking Australia with Singapore, is backed by tech billionaire and green activist Mike Cannon-Brookes.

#webbtelescopeupdates #bigbangtheory #bigbang #astronomy #galaxies #earlyuniverse #nasa #crisisincosmology #Hubbleconstant #expandinguniverse.

Something very strange is happening in the early universe and scientists have no clue why their theories are failing to explain these strange mysteries. Scientists are finding thousands of strange objects in deep field images and they have no idea what exactly they are looking at. They discovered many strange objects in the early universe and scientists said that they cannot be galaxies because these objects are completely different compared to early galaxies. In addition, the Webb telescope looked deep into the universe beyond the Dark Ages for the first time, and what it found has astonished astronomers.
Most scientists agree that the universe began about 13.8 billion years ago. However, the strange structures revealed in these images challenge this timeline and could lead to major shifts in cosmology, the study of the universe’s origin and development.

Continue reading “Nobel Winner Warns ‘IT’S ANOTHER UNIVERSE’ James Webb Telescope Saw Strange Things Beyond the…” »

The effective central charge (denoted by c_eff) is a measure of entanglement through a conformal interface, while the transmission coefficient (encoded in the coefficient c_LR$ of the two-point function of the energy-momentum tensor across the interface) is a measure of energy transmission through the interface. It has been pointed out that these two are generally different. In this Letter, we propose the inequalities, $0lec_LRlec_efflemin(c_L,c_R). They have the simple but important implication that the amount of energy transmission can never exceed the amount of information transmission. We verify them using the AdS/CFT correspondence, using the perturbation method, and in examples beyond holography.

The Casimir Force is a well-known effect originating from the quantum fluctuation of electromagnetic fields in a vacuum. Now an international group of researchers have reported a counterpoint to that theory, adding to the understanding of energy fluctuations within fluids.

“the predictions of the standard model of the universe appear to be at odds with some recent observations.”

Right now, it looks like the cosmology is at a tipping point.

Continue reading “Cosmology is at a tipping point — we may be on the verge of discovering new physics” »

China has announced the construction of a nuclear power plant that will be fuelled by liquid fuel based on molten thorium salt. The Shanghai Institute of Applied Physics (SINAP) has been engaged in research in this area since 2011 focusing on liquid fluoride-thorium reactors (LFTRs). The construction of a prototype of a thorium molten salt reactor (TMSR) with a capacity of 2 MW began in September 2018 and was reportedly completed in August 2021. China is seeking to get full intellectual property rights to this technology.

Now China plans to build the world’s first NPP based on molten salt in the Gobi desert. Construction will begin in 2025 with the aim of developing safer and more environmentally friendly nuclear energy. The reactor does not need water for cooling, since it uses liquid salt and carbon dioxide to transfer heat and generate electricity.

In 2022, SINAP received permission from the Ministry of Ecology and Environmental Protection to commission an experimental MTSR. This is the first nuclear molten salt reactor since the United States stopped its molten salt test reactor in 1969. The application for the operation of the experimental reactor was considered in China in June 2023, it was considered to be fully compliant with safety requirements.

The first statistically significant results are in: not only can Large Language Model (LLM) AIs generate new expert-level scientific research ideas, but their ideas are more original and exciting than the best of ours – as judged by human experts.

Recent breakthroughs in large language models (LLMs) have excited researchers about the potential to revolutionize scientific discovery, with models like ChatGPT and Anthropic’s Claude showing an ability to autonomously generate and validate new research ideas.

This, of course, was one of the many things most people assumed AIs could never take over from humans; the ability to generate new knowledge and make new scientific discoveries, as opposed to stitching together existing knowledge from their training data.

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