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Many cells in our body have a single primary cilium, a micrometer-long, hair-like organelle protruding from the cell surface that transmits cellular signals. Cilia are important for regulating cellular processes, but because of their small size and number, it has been difficult for scientists to explore cilia in brain cells with traditional techniques, leaving their organization and function unclear.

In a new series of work, researchers at HHMI’s Janelia Research Campus, the Allen Institute, the University of Texas Southwestern Medical Center, and Harvard Medical School used super high-resolution 3D electron microscopy images of mouse brain tissue generated for creating connectomes to get the best look yet at primary cilia.

WASHINGTON — Blue Shepard launched six women, including a pop star and TV show host, on a suborbital flight of the company’s New Shepard vehicle April 14.

New Shepard lifted off at 9:30 a.m. Eastern from the company’s Launch Site One in West Texas after a problem-free countdown. The vehicle’s capsule, RSS Kármán Line, reached a peak altitude of 106 kilometers before landing 10 minutes and 21 seconds after liftoff.

The NS-31 mission, the company’s 11th crewed suborbital flight, flew a routine profile but with a unique complement of spaceflight participants. It was the company’s first mission to carry only women, and the first all-woman spaceflight of any kind since Valentina Tereshkova became the first woman in space on a solo flight in 1963.

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The CMS collaboration at CERN has observed an unexpected feature in data produced by the Large Hadron Collider (LHC), which could point to the existence of the smallest composite particle yet observed. The result, reported at the Rencontres de Moriond conference in the Italian Alps this week, suggests that top quarks – the heaviest and shortest lived of all the elementary particles – can momentarily pair up with their antimatter counterparts to produce an object called toponium. Other explanations cannot be ruled out, however, as the existence of toponium was thought too difficult to verify at the LHC, and the result will need to be further scrutinised by CMS’s sister experiment, ATLAS.

High-energy collisions between protons at the LHC routinely produce top quark–antiquark pairs (tt-bar). Measuring the probability, or cross section, of tt-bar production is both an important test of the Standard Model of particle physics and a powerful way to search for the existence of new particles that are not described by the 50-year-old theory. Many of the open questions in particle physics, such as the nature of dark matter, motivate the search for new particles that may be too heavy to have been produced in experiments so far.

CMS researchers were analysing a large sample of tt-bar production data collected in 2016–2018 to search for new types of Higgs bosons when they spotted something unusual. Additional Higgs-like particles are predicted in many extensions of the Standard Model. If they exist, such particles are expected to interact most strongly with the singularly massive top quark, which weighs in at 184 times the mass of the proton. And if they are massive enough to decay into a top quark–antiquark pair, this should dominate the way they decay inside detectors, with the two massive quarks splintering into “jets” of particles.

Understanding and treating brain disorders such as tremor, imbalance, and speech impairments requires deep knowledge of the cerebellum, a part of the brain that’s crucial for making accurate movements.

Scientists have long been able to eavesdrop on and record the electrical signals transmitted by neurons () in the cerebellum, allowing them to observe the signals entering and exiting this region. But the computations that the brain performs between the input and output have been largely a mystery.

However, that is now changing. A team of researchers, including those from Baylor College of Medicine, have created an artificial intelligence tool that can identify the type of neuron producing electrical signals recorded from the cerebellum during behavior, allowing a new understanding of how the cerebellum works.