A stunning new image of a cosmic jet has helped astronomers unlock the mystery behind the unusually bright emission of high-energy gamma rays and neutrinos from a peculiar celestial object. The source is a blazar—a type of active galaxy powered by a supermassive black hole devouring matter at the heart of a galaxy. They have captured what looks like the mythical “Eye of Sauron” in the distant universe and may have just solved a decade-long cosmic puzzle.
Using the MeerKAT radio telescope, an international team of astronomers have discovered a new fast radio burst, which received designation FRB 20240304B. The measured redshift of FRB 20240304B indicates that it is the most distant fast radio burst known to date. The finding was reported in a research paper published August 3 on the arXiv pre-print server.
Fast radio bursts (FRBs) are intense flashes of radio emission that last only a few milliseconds and showcase the characteristic dispersion sweep of radio pulsars. To date, the physical nature of this mysterious phenomenon remains unknown; however, astronomers consider a variety of explanations ranging from synchrotron maser emission from young magnetars in supernova remnants to cosmic string cusps.
The vast majority of FRBs have been detected at relatively low redshifts of below 0.5. Therefore, their distribution at higher redshift is still poorly studied. That is why astronomers are especially interested in finding new high-redshift FRBs, as they can offer important clues about galaxy formation when the universe was a few billion years old.
University of Maryland School of Medicine (UMSOM) researchers, along with their colleagues, engineered a new molecule that appears promising as an effective antidote for carbon monoxide poisoning with fewer side effects than other molecules currently being tested, according to a new study published in the journal PNAS.
Carbon monoxide poisoning accounts for 50,000 emergency room visits in the U.S. each year and causes about 1,500 deaths. These deaths may occur when carbon monoxide released from combustion builds up in an enclosed space, which can result from ventilation failures in indoor natural gas burning equipment, or running gasoline generators or automobiles indoors or in a closed garage. Carbon monoxide poisoning is also associated with most fires from smoke inhalation.
Currently, the only treatments for carbon monoxide poisoning are oxygen-based therapies, which help the body eliminate the toxic gas. However, even with treatment, nearly half of survivors suffer long-term heart and brain damage. This has created an urgent need for faster, more effective therapies.
The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect precancerous growths (adenomas) in the colon without AI assistance, according to a paper published in The Lancet Gastroenterology & Hepatology.
Colonoscopy enables detection and removal of adenomas, leading to prevention of bowel cancer. Numerous trials have shown the use of AI to assist colonoscopies increases the detection of adenomas, generating much enthusiasm for the technology. However, there is a lack of research into how continuous use of AI affects endoscopist skills, with suggestions it could be either positive, by training clinicians, or negative, leading to a reduction in skills.
Author Dr. Marcin Romańczyk, Academy of Silesia (Poland), says, To our knowledge, this is the first study to suggest a negative impact of regular AI use on health care professionals’ ability to complete a patient-relevant task in medicine of any kind.
In recent years, there has been growing concern over the H5N1 influenza virus. It was first identified in birds three decades ago and has now gradually found its way to humans. H5N1 is a strain of the influenza virus harboring type 5 hemagglutinin (H5) and type 1 neuraminidase (N1) surface proteins, which help in viral entry and spread, respectively.
In the quest for energy independence, researchers have studied solar thermoelectric generators (STEGs) as a promising source of solar electricity generation. Unlike the photovoltaics currently used in most solar panels, STEGs can harness all kinds of thermal energy in addition to sunlight. The simple devices have hot and cold sides with semiconductor materials in between, and the difference in temperature between the sides generates electricity through a physical phenomenon known as the Seebeck effect.
But current STEGs have major efficiency limitations preventing them from being more widely adopted as a practical form of energy production. Right now, most solar thermoelectric generators convert less than 1% of sunlight into electricity, compared to roughly 20% for residential solar panel systems.
That gap in efficiency has been dramatically reduced through new techniques developed by researchers at the University of Rochester’s Institute of Optics.
Researchers with the schools of science and engineering at Rensselaer Polytechnic Institute (RPI) are exploring new ways to manipulate matter with light to unlock a new generation of computer chips, photovoltaic cells and other advanced materials.
Physics professor Moussa N’Gom, Ph.D., and materials science professor Edwin Fohtung, Ph.D., have brought together their respective areas of expertise—optics and materials science —to illuminate previously unknown properties of the materials that will build the next generation of consumer, industrial and scientific devices.
“We can use almost the entire spectrum of light, from visible to X-ray, to manipulate and study materials,” Fohtung said. “We can interrogate any system, from hard condensed matter to soft biological tissue.”
Animals like bats, whales and insects have long used acoustic signals for communication and navigation. Now, an international team of scientists has taken a page from nature’s playbook to model micro-sized robots that use sound waves to coordinate into large swarms that exhibit intelligent-like behavior.
The robot groups could one day carry out complex tasks like exploring disaster zones, cleaning up pollution, or performing medical treatments from inside the body, according to team lead Igor Aronson, Huck Chair Professor of Biomedical Engineering, Chemistry, and Mathematics at Penn State.
“Picture swarms of bees or midges,” Aronson said. “They move, that creates sound, and the sound keeps them cohesive, many individuals acting as one.”