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Search results for “Big Bang”

1,000+ results for "Big Bang"

Contributing to the utilization of big data! Developing new data learning methods for artificial intelligence

A team of researchers has proposed a novel method for multi-label classification that enables continual learning from big data. The approach combines clustering and Bayesian methods to achieve high classification performance and adaptability in the face of new data.

SourceOsaka Metropolitan University·JournalIEEE Transactions on Pattern Analysis and Machine Intelligence·TypeComputational simulation/modeling·DateFeb 1, 2023

Big dynorphin protects neurons from the accumulation of β-amyloid, one of the main triggers of Alzheimer's disease

A study reveals that big dynorphin, an endogenous opioid peptide, protects neurons against β-amyloid accumulation. The research suggests that big dynorphin can hinder the interaction between β-amyloid and form aggregates, promoting a neuroprotective effect.

SourceUniversitat Autonoma de Barcelona·JournalComputational and Structural Biotechnology Journal·TypeExperimental study·DateDec 21, 2022

Study finds that big rains bring big algae blooms … eventually

A new study from the University of Wisconsin-Madison found that while phosphorus is a key ingredient for algae blooms, other factors like calm winds, warm surface waters, and low zooplankton populations can delay or prevent blooms. Drastically reducing phosphorus use on land may be the only option to head off future blooms.

SourceUniversity of Wisconsin-Madison·JournalProceedings of the National Academy of Sciences·TypeObservational study·DateNov 28, 2022

Can cosmic inflation be ruled out?

Astrophysicists have identified a potential test to rule out cosmic inflation, a theory explaining the universe's origins. The cosmic graviton background (CGB) could provide evidence against inflation if detected, and its impact on the early Universe's expansion rate could be measured by next-generation probes.

SourceUniversity of Cambridge·JournalThe Astrophysical Journal Letters·DateNov 3, 2022

Revealed: oldest star clusters in the universe

A team of astronomers used the James Webb Telescope to identify five ancient globular clusters, potentially containing the first and oldest stars in the universe. The clusters were formed close to the Big Bang, offering insights into star formation and galaxy evolution.

SourceUniversity of Toronto·JournalThe Astrophysical Journal Letters·TypeObservational study·DateNov 2, 2022

New in Ethics & Human Research, July-August 2022

The article discusses new guidelines for big data research, including the potential for group harm. It also explores biobank research from an African American community's perspective and the implementation of electronic consent procedures during the COVID-19 pandemic.

SourceThe Hastings Center·JournalEthics & Human Research·TypeExperimental study·DateJul 28, 2022

Astronomers develop novel way to ‘see’ the first stars through the fog of the early Universe

A team of astronomers has developed a novel way to observe the first stars and galaxies, detecting light through the fog of the early Universe. The Square Kilometre Array will likely make images of the earliest light, but current telescopes struggle to detect the cosmological signal through hydrogen clouds.

SourceUniversity of Cambridge·JournalNature Astronomy·TypeObservational study·DateJul 21, 2022

How might Big Tech affect financial inclusion and stability?

A recent analysis found that Big Tech companies can provide innovative financial services to people excluded from traditional banking, improving financial inclusion. However, the authors caution that without proper education, these services may introduce risks to financial stability.

SourceWiley·JournalContemporary Economic Policy·DateJul 7, 2022

Shedding new light on dark matter

Physicists have developed a method to predict the composition of dark matter by analyzing cosmological signatures. The research uses big bang nucleosynthesis and cosmic microwave background radiation to identify specific categories of dark matter with masses between those of the electron and proton.

SourceNew York University·JournalPhysical Review Letters·TypeComputational simulation/modeling·DateJul 6, 2022

Cosmological gravitational waves: A new approach to reach back to the Big Bang

A new study by the POLARBEAR collaboration provides a new correction algorithm that allows for almost double the amount of reliable data on Cosmological Gravitational Waves (CGWs), produced during Inflation in the early Universe. This enhances our understanding of the signal and brings us closer to observing CGWs.

SourceScuola Internazionale Superiore di Studi Avanzati·JournalThe Astrophysical Journal·TypeObservational study·DateJun 6, 2022

Scientists make a new type of optical device using alumina

Researchers from Kavli Institute and University of Minnesota create new optical element using alumina, improving telescope performance in studying cosmic microwave background (CMB) radiation. The innovation reduces reflections by fifty-fold, allowing for more efficient instruments to study the Big Bang and universe's evolution.

Studying the big bang with artificial intelligence

Scientists at Vienna University of Technology have developed a new type of neural network that can accurately simulate the quark-gluon plasma, a state of matter present in the early universe. The networks use gauge invariant convolutional neural networks to recognize patterns and predict properties of the plasma.

SourceVienna University of Technology·JournalPhysical Review Letters·TypeComputational simulation/modeling·DateJan 25, 2022

Too much heavy metal stops stars producing

The ARC Centre of Excellence for All Sky Astrophysics in 3D has discovered that the youngest generation of stars will eventually stop contributing metals back to the universe. This change affects the composition of the galaxy over time, with around half of the carbon and all elements heavier than iron synthesized by stars like our Sun.

SourceARC Centre of Excellence for All Sky Astrophysics in 3D (ASTRO 3D)·JournalMonthly Notices of the Royal Astronomical Society·TypeComputational simulation/modeling·DateJan 11, 2022

The paradox of big data spoils vaccination surveys

Researchers from Harvard University and others have found that large-scale COVID-19 vaccination surveys were off by up to 17 percentage points due to systematic biases in the data. The 'Big Data Paradox' highlights how big data sets can minimize one type of error while magnifying another, leading to misleading results.

SourceHarvard University·JournalNature·DateDec 8, 2021

How disorderly young galaxies grow up and mature

A supercomputer simulation reveals that interstellar frontal collisions lead to the maturation of young galaxies. The study shows how these chaotic galaxies eventually form stable spiral galaxies with similar populations of stars as the Milky Way.

SourceLund University·JournalMonthly Notices of the Royal Astronomical Society·DateAug 27, 2021

Closing the gap on the missing lithium

Researchers have reduced the discrepancy between theoretical and observed amounts of lithium by around 10% thanks to a new experiment. The study used particle beams, detectors, and an observational method called the Trojan horse to scrutinize one of the Big Bang nucleosynthesis reactions.