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Categories: Mathematics: Modeling, Space: Cosmology

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Chemistry: Biochemistry Computer Science: General Computer Science: Quantum Computers Mathematics: General Mathematics: Modeling Physics: General Physics: Quantum Computing Physics: Quantum Physics
Published

From disorder to order: Flocking birds and 'spinning' particles      (via sciencedaily.com)     Original source 

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.

Biology: Botany Biology: Evolutionary Biology: Genetics Biology: Microbiology Mathematics: Modeling Mathematics: Statistics
Published

AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes      (via sciencedaily.com)     Original source 

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.

Biology: Microbiology Computer Science: General Mathematics: Modeling
Published

Artificial intelligence can develop treatments to prevent 'superbugs'      (via sciencedaily.com)     Original source 

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.

Environmental: General Geoscience: Earth Science Physics: General Space: Astronomy Space: Astrophysics Space: Cosmology Space: Exploration Space: General Space: The Solar System
Published

Toward unification of turbulence framework -- weak-to-strong transition discovered in turbulence      (via sciencedaily.com)     Original source 

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.

Biology: Biochemistry Biology: Biotechnology Biology: Cell Biology Biology: Developmental Biology: General Biology: Microbiology Biology: Molecular Chemistry: Biochemistry Mathematics: Modeling
Published

AI tool creates 'synthetic' images of cells for enhanced microscopy analysis      (via sciencedaily.com)     Original source 

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.

Offbeat: General Offbeat: Space Space: Astronomy Space: Astrophysics Space: Cosmology Space: Exploration Space: General Space: Structures and Features
Published

Giant galactic explosion exposes galaxy pollution in action      (via sciencedaily.com)     Original source 

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.

Mathematics: General Mathematics: Modeling
Published

New sensing checks for 3D printed products could overhaul manufacturing sector      (via sciencedaily.com)     Original source 

A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.

Mathematics: Modeling
Published

Predicting cardiac arrhythmia 30 minutes before it happens      (via sciencedaily.com)     Original source 

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.

Geoscience: Severe Weather Mathematics: Modeling
Published

AI weather forecasts captured Ciaran's destructive path      (via sciencedaily.com)     Original source 

The study highlights the rapid progress and transformative potential of AI in weather prediction.

Computer Science: General Computer Science: Virtual Reality (VR) Mathematics: Modeling
Published

Teaching a computer to type like a human      (via sciencedaily.com)     Original source 

A new typing model simulates the typing process instead of just predicting words.

Biology: Biochemistry Biology: General Mathematics: Modeling
Published

When thoughts flow in one direction      (via sciencedaily.com)     Original source 

Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.

Space: Astronomy Space: Astrophysics Space: Cosmology Space: Exploration Space: General Space: Structures and Features Space: The Solar System
Published

No gamma rays seen coming from nearby supernova      (via sciencedaily.com)     Original source 

A nearby supernova in 2023 offered astrophysicists an excellent opportunity to test ideas about how these types of explosions boost particles, called cosmic rays, to near light-speed. But surprisingly, NASA's Fermi Gamma-ray Space Telescope detected none of the high-energy gamma-ray light those particles should produce.

Space: Astronomy Space: Astrophysics Space: Cosmology Space: Exploration Space: General Space: Structures and Features
Published

Physicists solve puzzle about ancient galaxy found by Webb telescope      (via sciencedaily.com)     Original source 

Physicists solve a puzzle linked to JWST-ER1g, a massive ancient galaxy that formed when the universe was just a quarter of its current age.

Space: Astronomy Space: Astrophysics Space: Cosmology Space: Exploration Space: General Space: Structures and Features
Published

Physicists solve puzzle about ancient galaxy found by Webb telescope      (via sciencedaily.com)     Original source 

Physicists solve a puzzle linked to JWST-ER1g, a massive ancient galaxy that formed when the universe was just a quarter of its current age.

Offbeat: General Offbeat: Space Space: Astronomy Space: Astrophysics Space: Cosmology Space: Exploration Space: General Space: Structures and Features
Published

Brightest gamma-ray burst of all time came from the collapse of a massive star      (via sciencedaily.com)     Original source 

In 2022, astronomers discovered the brightest gamma-ray burst (GRB) of all time. Now, astronomers confirm that a 'normal' supernova, the telltale sign of a stellar collapse, accompanied the GRB. The team also looked for signatures of heavy elements like gold and platinum in the supernova. They found no evidence of such elements, deepening the mystery of their origins.

Computer Science: Artificial Intelligence (AI) Computer Science: General Mathematics: Modeling
Published

A faster, better way to prevent an AI chatbot from giving toxic responses      (via sciencedaily.com)     Original source 

A new technique can more effectively perform a safety check on an AI chatbot. Researchers enabled their model to prompt a chatbot to generate toxic responses, which are used to prevent the chatbot from giving hateful or harmful answers when deployed.

Mathematics: General Mathematics: Modeling
Published

Novel robust-optimal controllers based on fuzzy descriptor system      (via sciencedaily.com)     Original source 

The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.

Environmental: General Geoscience: Earth Science Geoscience: Environmental Issues Geoscience: Geography Paleontology: Climate Space: Cosmology Space: General Space: The Solar System
Published

Climate change threatens Antarctic meteorites      (via sciencedaily.com)     Original source 

Antarctica harbors a large concentration of meteorites imbuing the icy continent with an unparalleled wealth of information on our solar system. However, these precious meteorites are rapidly disappearing from the ice sheet surface due to global warming, according to a new study.

Biology: Biochemistry Biology: Biotechnology Biology: Cell Biology Biology: Developmental Biology: General Biology: Genetics Biology: Microbiology Biology: Molecular Mathematics: Modeling
Published

Can language models read the genome? This one decoded mRNA to make better vaccines      (via sciencedaily.com)     Original source 

Researchers developed a foundational language model to decode mRNA sequences and optimize those sequences for vaccine development. The tool shows broader promise as a means for studying molecular biology.

Space: Astronomy Space: Astrophysics Space: Cosmology Space: General Space: Structures and Features Space: The Solar System
Published

Neutron stars are key to understanding elusive dark matter      (via sciencedaily.com)     Original source 

Scientists may be one step closer to unlocking one of the great mysteries of the universe after calculating that neutron stars might hold a key to helping us understand elusive dark matter.