Researchers propose a novel architecture, Med-BDA, to analyze healthcare big data, enabling real-time predictions and better patient treatments. The new approach uses Apache Spark technology to tackle complex data analysis challenges.
Researchers propose a new type of dark energy that could explain conflicting measurements of the universe's expansion rate. The theory suggests that dark energy underwent a phase transition triggered by the universe's expansion, resulting in a more consistent explanation for observed phenomena.
The webinar highlights the importance of open data in developing resilience in agriculture and food systems, particularly in the face of climate change, pandemics, and pests. Key experts share insights on harnessing data to create more sustainable and equitable food systems.
Researchers use innovative technique called 'quantum squeezing' to dramatically speed up the search for dark matter in the lab. The team hopes to find axion particles, which are likely billions of times smaller than electrons and could explain the existence of dark matter.
The most distant quasar known has been discovered, powered by the earliest known supermassive black hole weighing over 1.6 billion times the mass of the Sun. This fully formed distant quasar is also the earliest yet discovered, providing insight into massive galaxy formation in the early Universe.
Researchers confirm the distance of the most-distant galaxy GN-z11 to 13.4 billion light-years, improving understanding of star and galaxy formation in the early universe. The discovery also reveals an ultraviolet flash associated with a gamma-ray burst, providing insights into cosmic reionization.
Researchers have overcome a major limitation of stratospheric balloon payloads by creating an ultralight dewar that can cool large telescopes to near absolute zero. The breakthrough enables scientists to explore the cold universe and see faint signals from distant galaxies.
A University of Massachusetts Amherst study recommends guidelines for the ethical handling of opioid use disorder information stored in the Public Health Data Warehouse. The research highlights concerns about public trust and potential misuses of big data, and proposes safeguards to prioritize health equity.
Researchers developed a deep-learning model that uses big data and artificial intelligence to predict future COVID-19 case growth. The model accounts for features such as mobility, population activities, and social demographics, achieving 64% accuracy in predicting cases.
The universe's homogeneity is explained by Einstein's gravity theory, which shows that cosmological gravitational waves decay over time. This finding suggests that Einstein's theory can fully explain the universe's state without the need for inflation.
A new analysis of galaxy evolution finds that neutron star collisions do not create the quantity of chemical elements previously assumed. Instead, an entirely different sort of stellar phenomenon - unusual supernovae with strong magnetic fields - is responsible for making most of the heavy elements, including gold.
A team of researchers found that unequal neutron-star mergers can create an electromagnetic signal, which could be detected using gravitational-wave detectors like LIGO. The simulations revealed that the larger star tears apart its partner, creating a slower merger and allowing an 'electromagnetic bang' to escape.
A new study by a University of Oregon physicist estimates the age of the universe at 12.6 billion years using a refined distance-calculation technique. The approach recalibrates a distance-measuring tool known as the baryonic Tully-Fisher relation independently of Hubble's constant.
Researchers from FAU College of Engineering and Computer Science developed a model to predict COVID-19 spread using innovative big data analytics techniques. The project leverages prior experience in modeling Ebola spread to create computational models that can quickly identify contacts of infected individuals.
A Northwestern University-led team discovered the most distant short gamma ray burst (SGRB) with its afterglow measured, located 10 billion light-years away and 3.8 billion years after the Big Bang. The study reveals that neutron stars in a 'teenage' universe may have merged relatively quickly.
Astronomers have discovered the second most distant quasar, Pōniuāʻena, containing a monster black hole twice the mass of other quasars at the same epoch. The discovery presents significant challenges to current theories on supermassive black hole formation and growth in the early universe.
An ultra-sensitive sensor has been developed to detect the nuclear decay of heavy neutrinos, which could explain the cosmic asymmetry between matter and antimatter. The researchers used a new fluorescent molecule to capture the barium ion produced in the process, providing a clear signal.
Using data from NASA's MESSENGER spacecraft, scientists at Durham University measured the rates at which neutron particles leaked out from Venus and Mercury. The findings suggest a neutron lifetime of 13 minutes, with implications for our understanding of the Standard Model of particle physics.
A team of European researchers used Hubble Space Telescope to study the early Universe, finding no evidence of Population III stars. The discovery suggests that galaxies must have formed much earlier than previously thought, supporting the idea that low-mass galaxies are responsible for reionisation.
A new study found that the diets of reef fish dictate how fast different species evolve, with big vegetarian fish driving biodiversity. The study's authors built an evolutionary tree of life for nearly all fishes associated with reefs, examining variation in rates of species formation and asking what drives it.
Astronomers used ALMA to discover a massive rotating disk galaxy, DLA0817g, which challenges traditional models of galaxy formation. The galaxy formed primarily through the steady accretion of cold gas, indicating alternative growth processes dominated over violent mergers.
A new commentary paper highlights the urgent need to address environmental degradation using big data and technological advances. The study shows that despite increased computing speeds and data storage, the planet is still facing serious declines in forest cover and tidal flats.
Researchers have found that neutrinos and antineutrinos behave differently, providing a possible explanation for the universe's dominant matter content. The T2K experiment detected subtle discrepancies in their oscillation rates, shedding light on physics' deepest mysteries.
A new study reveals how Big Dynorphin binds to the ASIC receptor, causing pain signals. The discovery could lead to a new type of painkiller medicine, potentially reducing the risk of opioid-related adverse effects.
A recent study suggests that supermassive black holes could have formed in just 50-100 million years after the Big Bang, thanks to the rapid migration of stellar black holes. This theory reconciles the short time required for their growth with the age of the Universe.
A UNIGE researcher has solved a scientific controversy about the speed of the universe's expansion by proposing that it may not be homogeneous on a large scale. This approach eliminates a divergence between two independent calculation methods, which previously yielded conflicting values for the Hubble constant.
Researchers at PSI measured a property of the neutron more precisely than ever before, finding it has a significantly smaller electric dipole moment. This challenges the long-held assumption that this dipole moment could help explain the excess of matter in the universe.
Researchers using big data analytics have identified over three quarters of Spanish-founded colonial settlements in the former Inca Empire, providing new insights into social life and population history. The use of high-resolution satellite imagery also raises concerns about individual privacy and national security.
Researchers simulate condensate behavior during inflationary period, revealing gravitational disintegration mechanism. The simulation provides new insights into the formation of dark matter and potential predictions for cosmological observables.
A team of researchers proposes that gravitational waves could be evidence of a phase transition in the early universe, allowing for neutrino particles to reshuffle matter and anti-matter. This imbalance is thought to have prevented a complete annihilation of matter and anti-matter.
A team of researchers discovered a massive galaxy dying 1.5 billion years after the Big Bang, with its core already fully formed at that time. This finding challenges previous measurements and adds to our understanding of the universe's formation.
The University of Arizona Center for Innovation in Brain Science has received a $1.6 million grant to apply big data analytics and computational modeling to better understand Alzheimer's disease. The project aims to identify patient-specific therapeutic targets and evaluate the effectiveness and safety of drug combinations.
A UNIGE physicist proposes altering the mathematical language of classical physics to allow for indeterminism and randomness, resolving contradictions with quantum physics. This shift would enable a more intuitive approach to understanding the world, closer to our everyday experience.
Astronomers have identified overlapping bubbles of hydrogen gas ionized by the stars in early galaxies, providing direct evidence for the reionization of the universe. The earliest detected stars formed around 680 million years after the Big Bang and began to light up the cosmic dark ages.
The Breakthroughs in Gerontology (BIG) Awards support research into human aging and healthspan. Ursula Jakob will study early epigenetic events that extend lifespan, while Norbert Perrimon will investigate organ communication networks influencing aging.
A distant galaxy with over a trillion stars showed that the 'cores' of massive galaxies formed 1.5 billion years after the Big Bang, about 1 billion years earlier than previously thought. Researchers used telescopes to observe the quenching galaxy and found suppressed star formation.
Researchers discovered gigantic clouds of gaseous carbon spanning over 30,000 light-years around young galaxies using ALMA. The findings indicate that carbon atoms produced inside stars in the early Universe have spread beyond galaxies, challenging current understanding of cosmic evolution.
Researchers simulated the critical reheating period at the end of cosmic inflation, which may have bridged the gap between inflation and the Big Bang. The simulations suggest that quantum effects could have redistributed energy quickly, producing conditions necessary for the start of the Big Bang.
Researchers expect to greatly enhance measuring accuracy by developing a transportable trap for transporting antiprotons from CERN to Mainz. The project aims to measure fundamental properties of antiprotons with high precision, searching for differences between protons and antiprotons.
The BC2 Basel Computational Biology Conference aims to bridge the gap between Big Data and clinical applications, featuring renowned experts from precision oncology to infectious diseases. Key takeaways include the importance of single-cell data in cancer research and biological big data analysis methods.
A global study finds that birds with smaller brains thrive in variable environments by using alternative ecological strategies, such as large bodies and high reproductive rates. In contrast, big-brained birds are less adaptable and invest more time in raising fewer offspring.
A new Johns Hopkins University study proposes that dark matter may have originated before the Big Bang, citing a connection between particle physics and astronomy. The research suggests that dark matter's existence could be revealed through its gravitational effects on galaxy distributions.
A newly discovered ancient star contains a record-low amount of iron, hinting at the nature of the first stars in the Universe. The ultra-metal-poor red giant star has iron levels 1.5 million times lower than that of the Sun.
A new study found that surveys commonly used to measure Big Five personality traits are less valid in developing countries due to biases and language barriers. The research suggests that stronger bias towards agreeable responses and cultural differences may be key influences on survey results.
Scientists have re-measured a crucial physical constant with unprecedented accuracy, setting a new benchmark for physics research. The result could help explain nuclear fusion in the sun, understand element formation after the Big Bang, and improve particle collisions at CERN.
KAUST researchers develop a universal framework for querying big data, allowing researchers to focus on advancing the query engine rather than coding for specific platforms. The approach uses sparse-matrix algebra and achieves performance comparable to existing specialized approaches.
The Northeast Big Data Innovation Hub has been awarded a $4 million grant from the NSF to build cross-sector partnerships, spur economic development, and accelerate big data innovation. The hub will focus on mission-driven projects that coordinate and stimulate translational data science.
Recent Chinese AI research has made significant breakthroughs in big data analysis, with a focus on developing algorithms to detect abnormal data regions and repair historical correlations. Researchers have also proposed using Doppler measurements to improve target tracking performance in noisy environments.
A team of researchers identified 5 super luminous supernovae and about 400 Type Ia supernovae using the Subaru Telescope's Hyper Suprime-Cam. The discovery includes 58 Type Ia supernovae 8 billion light years away, revealing new insights into the expansion of the Universe.
New research identifies three persistent gravitational wave observables that provide insight into the intrinsic properties of gravitational waves. These observables could someday help extract information from the Cosmic Microwave Background, offering a new window on the universe.
New observations using NASA's Spitzer Space Telescope reveal that some of the earliest galaxies in the Universe were significantly brighter than anticipated. The excess light suggests that these galaxies released high amounts of ionising radiation, which may have played a key role in the Epoch of Reionisation.
A team of researchers used the Seshat database to analyze 300,000 records on social complexity and religion across 500 past societies. They found that beliefs in big gods followed, not preceded, increases in social complexity, suggesting that collective identities are more important for cooperation.
Researchers have detected a radio signal from abundant interstellar dust in MACS0416_Y1, a galaxy 13.2 billion light-years away. This discovery forces scientists to rethink the history of star formation and suggests that the galaxy experienced staggered starburst periods.
A team of international scientists used big data analysis to study how neurons communicate with each other in the brain, identifying patterns related to memory and discovering major proteins responsible for changes observed in neurons.
A new analysis of 65 million projects found that smaller teams are more likely to introduce new ideas to science and technology, while larger teams often develop and consolidate existing knowledge. This challenges recent trends in research policy and funding toward big teams.
Researchers reveal how stars contribute to the creation of elements, from hydrogen to heavier elements like lawrencium. The study highlights the dynamic nature of the periodic table, which has grown as new elements have been discovered or created in laboratories.
Researchers have documented 'walls bound by strings' in superfluid helium-3 for the first time, potentially helping explain how the universe cooled down after the Big Bang. The findings may also provide a model for topological quantum computing.
Researchers from Lehigh University's STAR Collaboration, led by Rosi Reed, use the Beam Energy Scan to test the limits of quark-gluon plasma and map its phase diagram. The goal is to understand the nuclear strong force and Quantum Chromodynamics.
Researchers urge scientists to utilize massive open-access data resources to address global biodiversity issues and forecast plant life's impact on a human-dominated planet. Big data can help make timely diagnoses and prescribe treatment plans for the planet.
Researchers are using big data and machine learning techniques to optimize sports performance, game-day decision making, and even predict the end of daily fantasy sports. The special issue explores various applications of big data in sports analytics, from pacing strategies in long-distance running to business-side insights.