Mathematics may hold unexpected clues to understanding Alzheimer’s disease. Scientists have developed a model showing how common metals like copper and zinc may influence the buildup of proteins associated with the disease, while also exploring possible ways to stop the process. The findings could help researchers identify promising strategies for preventing harmful plaque formation.
Scientists found that immune cells contributing to Alzheimer’s-related brain damage may be activated in lymph nodes outside the brain before traveling into the nervous system. Blocking this pathway in mice dramatically reduced neurodegeneration and preserved cognitive abilities, pointing to a potentially more accessible treatment target.
A Ph.D. student at the University of Sydney has produced the first comprehensive classification system and map of Martian soils, creating a new framework that could help scientists compare landscapes across the Red Planet and identify promising locations for future exploration, habitation and food production.
The research, led by Daniel Irving from the Sydney Institute of Agriculture and the Faculty of Science, proposes a new term for Martian soil classes: “areths,” derived from Ares, the Greek name for Mars.
Published in the journal CATENA, the research uses orbital observations and models to classify almost 800 million locations across Mars into a hierarchy of 2,000 soil classes and presents a global map showing where they occur.
Glimpses of the “gallium anomaly” were first seen in the mid-1990s, but it was first clearly discovered and stated in 2007 by neutrino physicist Carlo Giunti of Italy. The problem is simple to state but potentially very important: about 20% fewer electron neutrinos were seen to be captured by gallium nuclei than expected.
But now the anomaly looks to be explained with a new calculation by a collaboration of physicists at Italian universities and research laboratories—and the calculation agrees with the observed number of electron neutrinos captured. Their work is published in the journal Physical Review Letters.
When an electron neutrino (one of the three types of neutrinos) collides with a neutron in the nucleus of gallium-71 (⁷¹Ga), an electron is produced and the neutron transforms to a proton as a down quark converts to an up quark. The gallium nucleus then becomes a germanium-71 (⁷¹Ge) nucleus. This is a weak force interaction with a W+ particle exchange, a so-called charged-current weak interaction, and was historically important to the solar neutrino problem recognized in the 1960s.
Plants begin responding to spaceflight almost immediately after leaving Earth, according to a new University of Florida study that captured the earliest stages of biological adaptation during a commercial suborbital mission. Published in the journal npj Microgravity, the study reports the results of an experiment conducted by a UF astronaut during Blue Origin’s New Shepard NS-26 flight on Aug. 29, 2024.
For more than two decades, UF space biologists Rob Ferl and Anna-Lisa Paul have worked together to understand how living organisms respond to spaceflight. For this study, they designed an experiment to capture biological changes during different phases of a mission.
Scientists have long studied how plants and other organisms respond after spending days, weeks or months in space. Much less has been known about the biological changes that occur during the first minutes of spaceflight and how those responses change as a mission unfolds.
Proteases are naturally occurring enzymes that break down proteins into peptides and even single amino acids. They are useful in medicine and industrial processes, where they clean tissue, digest waste and help in the manufacture of everyday products. Now scientists have used artificial intelligence to design new versions from scratch.
AI tools have already successfully generated new protein shapes and structures, but using AI to create functional proteases is a significant leap forward. That’s because the resulting enzyme has to both recognize a chosen protein sequence and cut it efficiently.
To see if it could be done, David Baker at the University of Washington and his colleagues combined several advanced artificial intelligence tools to create both cysteine and zinc proteases.
How do young stars reshape the clouds from which they are born? A new high-resolution 3D model developed by an international team led by Dr Brandt Gaches from the University of Duisburg-Essen shows how the uneven structure of stellar nurseries creates shadows that alter their chemistry and influence the infrared emission observed by the James Webb Space Telescope. The model has now been published in Astronomy & Astrophysics.
Stars are born inside vast clouds of cold gas and dust. As massive young stars begin to shine, their intense ultraviolet light heats the gas, breaks apart molecules and triggers a cascade of chemical reactions in the clouds’ outer layers. These boundary zones are known as photodissociation, or photon-dominated, regions. Their light provides astronomers with important clues about how stars form and how gas is recycled to create future generations of stars and planets both within our own galaxy and in investigations of star formation across cosmological history.
“The Orion Bar is an ideal natural laboratory for studying these processes,” says Dr. Brandt Gaches. Located about 1,350 light-years from Earth, it can be observed in exceptional detail. “We see it nearly edge-on, so its different chemical layers are particularly easy to distinguish. That makes it a benchmark for testing models of photon-dominated regions,” adds Gaches, who leads an Emmy Noether Research Group on molecular astrophysics at the University of Duisburg-Essen (UDE).
Researchers have developed and tested a new locking method for gravitational wave detectors that will advance the discovery of distant black holes and neutron stars colliding.
Researchers from ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav) nodes at The University of Western Australia, the Australian National University and the University of Adelaide co-authored the study published in Physical Review D.
Lead author Dr. Jian Liu, from UWA’s School of Physics, Mathematics and Computing, said gravitational wave detectors, such as LIGO, detected ripples in space-time created by colliding black holes by measuring changes in distance 1,000 times smaller than the width of a proton.