To understand why this is a big deal, for a long time its been understood that (to vastly oversimplify things) the brain is primarily composed to two kinds of cells: glial cells, which are basically the brain’s infrastructure; and neurons, which communicate with each other with chemicals called neurotransmitters at special sites called synapses.
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Add another layer of complexity to our understanding of the brain. Researchers at University of Lausanne have discovered that a heretofore unknown class of cell is also involved in the complicated internal communications of the brain. The research was published Wednesday in Nature.
SpaceX has stacked Ship 25 atop Booster 9, and Elon Musk has tweeted ‘Ready for Launch’, NSF’s team examines Starship’s Hardware in this LIVE roundtable discussion.
In our new update show “Countdown to Launch” we will update you regularly on all things Starship flight 2. The goal is to answer all the questions you have about the upcoming launch campaign.
College Pulse and the Foundation for Individual Rights and Expression, have released the first ever College Free Speech Rankings, a comprehensive look into the student experience of free speech on their campuses.
In findings with potentially important implications for cervical cancer screening, scientists at the Montefiore Einstein Cancer Center (MECC) have developed a test for detecting a type of cervical cancer that Pap tests often miss. The findings published online today in the JNCI: Journal of the National Cancer Institute.
“Our novel test appears sensitive for detecting cervical adenocarcinoma [ADC]—which now accounts for up to 25% of cervical cancer cases—as well as its precursor lesions, adenocarcinoma in situ [AIS], that often develop into ADCs,” said Howard Strickler, M.D., M.P.H., co-senior and corresponding author of the JNCI paper and a member of MECC.
“Because ADCs are often missed by current screening methods, they have higher mortality rates than the more common cervical squamous cell cancer,” Dr. Strickler added. “Our goal is to catch the disease early, before it develops into cancer.” Dr. Strickler is also professor and head of the division of epidemiology and the Harold and Muriel Block Chair in Epidemiology and Population Health at Albert Einstein College of Medicine.
Japan’s space agency has launched a rocket on September 6 at 7:42 PM EDT carrying a telescope that’s more advanced than NASA’s Chandra and other X-ray observatories already in orbit. The X-Ray Imaging and Spectroscopy Mission — or XRISM but pronounced as “crism” — is a mission led by JAXA (Japan Aerospace Exploration Agency) in collaboration with NASA and with contributions by the European Space Agency. Lia Corrales, a University of Michigan astronomer and mission participant, told The New York Times that XRISM represents “the next step in X-ray observations.”
The telescope is considered more powerful than its predecessors because of its tools. One of them, called Resolve, is a microcalorimeter spectrometer with the capability to measure tiny increases in temperature when X-rays hit its 6-by-6-pixel detector. It must operate in an environment that’s a fraction of a degree above absolute zero, enabled by a multistage mechanical cooling process inside its refrigerator-sized container with liquid helium. But so long as it’s working, the tool can measure each individual X-ray energy and can provide information on its source’s composition, motion and physical state.
The Times says the mission team expects Resolve’s spectroscopic data to be 30 times sharper than what Chandra’s instruments can provide. It can detect X-rays with energies that range from 400 to 12,000 electron volts, which NASA says can give us the data needed to know more about the hottest regions, the largest structures and the objects with the strongest gravity pull in the universe. XRISM’s science operations won’t begin until January, though, since scientists still have to switch on its instruments and tune them in the next few months.
A profile of the billionaire claims he hopes to use data harvested from Twitter users and Tesla’s Full Self-Driving Cameras to train a powerful new AI model.
