Articles tagged with Statistical Distributions
University of Illinois researchers derived the depth profile of electric double layers using statistical analysis and electrostatic calculations. They developed a new method, CP-3D-AFM, to experimentally quantify the charge distribution at electrode-electrolyte interfaces.
Research suggests that long-lasting insecticidal malaria nets lost their effectiveness after just one year in Burundi, contradicting the recommended replacement every 3 years. The study found that malaria incidence rose again after two years, highlighting the need for continued epidemiological monitoring and improved resource allocation.
Researchers at the University of Oldenburg have developed a new statistical model that accurately describes wind turbulence and generates fully three-dimensional wind fields using limited measurement points. This breakthrough enables precise wind turbine load estimation and improves wind farm planning, with applications in various fiel...
A new study proposes a scalable, bottom-up approach to developing energy-saving initiatives at the individual level by analyzing real-time energy usage data. The research team developed an energy calculator that can be scaled up to the building- and community-level, enabling more accurate occupant-level measurements.
Researchers at KAUST develop a novel multivariate skew-elliptical link model to address the challenges of highly imbalanced health data. The new model provides a better fit to COVID-19 datasets and offers flexibility over existing models.
A new study by Concordia researchers finds that greenbelts are effective at slowing urban sprawl, particularly in larger cities. 90% of cities with greenbelts experienced decreases in sprawl, while just over a third without them did.
Researchers used computer models to link red squirrel sightings to environmental parameters, identifying areas with missing ecological corridors. The study aims to improve urban planning by understanding the challenges faced by urban squirrels due to habitat fragmentation and climate change.
A new study proposes a mathematical tool to understand the fractal structure of quark-gluon plasma, which is formed in high-energy collisions. The fractal structure explains some phenomena seen in these collisions, including particle momentum distributions that follow Tsallis statistics.
Only one in four Western Roman emperors died of natural causes, following a power law distribution. The study found that the risk of survival was high when taking the throne, but declined after 13 years, with a sharp increase again at this point.
A Princeton-led study explores how people form impressions from facial appearances, finding that exposure to different faces influences what is perceived as typical and evaluates positively. The results suggest that social meaning is imbued in faces based on their statistical position relative to an individual's learned central tendency.
A team of researchers mapped a universal dynamic that explains protein production and distribution, with implications for understanding phenotypic variability. The findings suggest a fundamental role for cellular feedback mechanisms in regulating protein levels.
Researchers have developed a model that uses self-organised criticality and fluid dynamics to predict the occurrence of solar flares. The model has shown to be consistent with observations in a quantitative sense, enabling scientists to better understand and prepare for these powerful events.
A new robot-vision algorithm based on the Bingham distribution can identify object orientations more accurately than existing algorithms, with a 50% improvement in cases of poor visual information. The algorithm combines probabilities from different sources and has been successfully tested in cluttered scenes.
Researchers Jack Brimberg and Bill Hurley develop a mathematical model to assess the importance of scoring the first goal in soccer and hockey. Their Poisson distribution-based formula takes into account factors like league position and time remaining, providing a probability of winning for each team.
Penn State researchers developed a neural network-based model to predict tire stress on roads, providing engineers with improved capabilities for designing better tires and roads. The software can accurately predict outcomes even without training data, using precisely measured contact-stress distribution patterns.
Cornell University researcher Carla Gomes has received $700,706 in grants to develop faster methods for tackling combinatorial problems. She plans to use a high-performance computing facility with 32 linked desktop computers to test new ideas.
Recent discoveries have revealed that Gamma-Ray Bursts originate from the most remote parts of the universe, releasing enormous amounts of energy in just 10 seconds. The high-redshift burst announcement adds to the body of research indicating these explosions are the most powerful in the Universe.
Researchers at Columbia University have devised a computer model that shows how earthquakes occur in a pyramidal distribution, with one larger quake and multiple smaller ones. The model helps estimate the likelihood of future damage by analyzing the relationship between faults and earthquake distributions.
Recent discoveries demonstrate that Gamma-Ray Bursts (GRBs) originate from the most remote parts of the universe, releasing as much energy in 10 seconds as the Sun emits in its entire lifetime. The uniform distribution on the sky and brightness distribution rule out galactic halo and suggest distances exceeding billions of light years.
Astronomers analyze over 1,700 gamma-ray bursts and find they are isotropic, meaning their distribution on the sky is almost perfectly random. This contradicts previous theories that placed these bursts within or just outside of our own Milky Way Galaxy.
The California Department of Conservation has released six preliminary seismic hazard zone maps, highlighting areas susceptible to landslides and liquefaction in San Francisco and Southern California. The maps will help local governments identify areas requiring geologic or soil investigation before urban development permits are issued.