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Categories: Mathematics: Modeling, Space: Astrophysics
Published Astronomers observe elusive stellar light surrounding ancient quasars



Astronomers observed the elusive starlight surrounding some of the earliest quasars in the universe. The findings may shed light on how the earliest supermassive black holes became so massive despite having a relatively short amount of cosmic time in which to grow.
Published Hubble views a galaxy with a voracious black hole



Bright, starry spiral arms surround an active galactic center in a new NASA Hubble Space Telescope image of the galaxy NGC 4951. Located in the Virgo constellation, NGC 4951 is located roughly 50 million light-years away from Earth. It's classified as a Seyfert galaxy, which means that it's an extremely energetic type of galaxy with an active galactic nucleus (AGN).
Published Toxic chemicals can be detected with new AI method



Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.
Published New computer algorithm supercharges climate models and could lead to better predictions of future climate change



A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.
Published A 'cosmic glitch' in gravity



Researchers have discovered a potential 'cosmic glitch' in the universe's gravity, explaining its strange behavior on a cosmic scale.
Published Improved AI process could better predict water supplies



A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers predict water availability from areas in the West where snow amounts aren't being physically measured.
Published Webb captures top of iconic horsehead nebula in unprecedented detail



NASA's James Webb Space Telescope has captured the sharpest infrared images to date of a zoomed-in portion of one of the most distinctive objects in our skies, the Horsehead Nebula. These observations show the top of the 'horse's mane' or edge of this iconic nebula in a whole new light, capturing the region's complexity with unprecedented spatial resolution.
Published NASA's Webb maps weather on planet 280 light-years away



Researchers have successfully used NASA's James Webb Space Telescope to map the weather on the hot gas-giant exoplanet WASP-43 b.
Published Astronomers' simulations support dark matter theory



Computer simulations by astronomers support the idea that dark matter -- matter that no one has yet directly detected but which many physicists think must be there to explain several aspects of the observable universe -- exists, according to the researchers.
Published Gemini south reveals origin of unexpected differences in giant binary stars



Astronomers have confirmed that differences in binary stars' composition can originate from chemical variations in the cloud of stellar material from which they formed. The results help explain why stars born from the same molecular cloud can possess different chemical composition and host different planetary systems, as well as pose challenges to current stellar and planet formation models.
Published From disorder to order: Flocking birds and 'spinning' particles



Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes



Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published Researchers advance detection of gravitational waves to study collisions of neutron stars and black holes



Researchers co-led a study that will improve the detection of gravitational waves--ripples in space and time.
Published Artificial intelligence can develop treatments to prevent 'superbugs'



Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.
Published Eruption of mega-magnetic star lights up nearby galaxy



While ESA's satellite INTEGRAL was observing the sky, it spotted a burst of gamma-rays -- high-energy photons -- coming from the nearby galaxy M82. Only a few hours later, ESA's XMM-Newton X-ray space telescope searched for an afterglow from the explosion but found none. An international team realized that the burst must have been an extra-galactic flare from a magnetar, a young neutron star with an exceptionally strong magnetic field.
Published Toward unification of turbulence framework -- weak-to-strong transition discovered in turbulence



Astrophysicists have made a significant step toward solving the last puzzle in magnetohydrodynamic turbulence theory by observing the weak to strong transition in the space plasma turbulence surrounding Earth with newly developed multi-spacecraft analysis methods.
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis



Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
Published Giant galactic explosion exposes galaxy pollution in action



Astronomers have produced the first high-resolution map of a massive explosion in a nearby galaxy, providing important clues on how the space between galaxies is polluted with chemical elements.
Published New sensing checks for 3D printed products could overhaul manufacturing sector



A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Published Predicting cardiac arrhythmia 30 minutes before it happens



Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.