Articles tagged with Computer Modeling
Researchers developed computer models to classify injury reports based on specific words or phrases, identifying key causes of injuries. The models achieved high accuracy rates, comparable to human coders, and have the potential to lead to automated report coding programs.
NASA's Aqua satellite captured two views of Hurricane Bill's cloud cover, revealing strong thunderstorms and a powerful hurricane. The storm is expected to strengthen as it nears Bermuda, posing a threat to the East Coast.
A multidisciplinary team led by Carnegie Mellon University will develop revolutionary computational tools to advance science in fields like cancer treatment and aircraft safety. The researchers aim to improve understanding of pancreatic cancer and atrial fibrillation using Model Checking and Abstract Interpretation techniques.
A team of Indian and American researchers used computers to extract patterns in ancient Indus symbols, creating a statistical model for the unknown language. The study provides insights into the underlying grammatical structure of the Indus script.
Researchers at Clemson University will use AnyBody Modeling System to create detailed computer models of the human musculoskeletal system, exploring issues like hip replacements and seating comfort. The donation also includes tools to predict and assess implant performance and longevity, accelerating product development.
Scientists have developed computer models explaining polymorphism in animal populations, where individuals can display multiple distinct forms. The research suggests that a modest level of predator dietary wariness is sufficient to maintain large numbers of prey forms within a single species.
A team of scientists has discovered that individual cells have programmed lifespan and fate, changing the approach to predicting immune responses. The findings could lead to more accurate computer models for infectious diseases and autoimmune conditions.
The University of Leeds team is developing a digital model to predict the timing of plant flowering, which could help farmers improve crop yields. The model uses computer simulations to account for changes in genetic structure and environmental factors like climate.
A new computer modeling platform, Plan C, developed at NYU can simulate complex emergency responses in urban scenarios. The model shows that implementing disaster plans within 30 minutes can significantly reduce mortality and waiting times.
A series of symposium papers explore AquaCrop and other agronomic models that estimate water use efficiency under varying conditions. The models were shown to adequately simulate WUE under well-watered conditions but tend to overestimate or underestimate WUE under water stress, limiting their usefulness for deficit irrigation scenarios.
A computer-based model has been developed to aid radiologists in diagnosing breast cancer by analyzing mammogram images. The model was trained on 48,744 mammograms and found that it could detect 41 more cancers than routine practice, with potential benefits including reduced unnecessary biopsies.
Researchers have found that underground water is a major sink for carbon dioxide in gas fields, storing it safely for millions of years. This breakthrough could improve the accuracy of computer models used for carbon capture and storage, a crucial approach to reducing atmospheric carbon dioxide levels.
Alison Marsden's Y-Graft computer models can optimize Fontan procedures, predicting patient outcomes and exercise tolerance. The technology enables zero-risk testing of new surgery designs before patients undergo surgery.
MIT researchers have developed a new computer model that analyzes different methods of controlling malaria's spread. The model shows that environmental measures such as leveling land and eliminating pools of water can be an effective strategy in the fight against malaria.
The Nonhydrostatic ICosahedral Atmospheric Model (NICAM) successfully simulated the lifecycles of two real tropical cyclones. The model's realistic representation of clouds and atmospheric conditions allowed it to reproduce the birth, path, and evolution of the observed cyclones.
A computer model called Diag was developed to predict human behavior and learning in a circuit troubleshooting task. The model learned at the same rate as participants, replicating their strategy and solving problems accurately.
A new approach in cellular modeling reveals unexpected aspects of cell signaling pathways and suggests that the dynamic range of signals may be a greater determinant of cell behavior. The research offers a chance to uncover biological phenomena that might take thousands of hours to discover in the laboratory.
Researchers discovered three periods of high vegetation cover in the Sahara Desert over the past 120,000 years, tied to changes in Earth's rotation axis and increased precipitation. Computer model simulations support these findings, suggesting a potential expansion of vegetation in the region under human-driven climate change.
The Institute for Computational Sustainability will pursue research agendas that advance computing and benefit society, focusing on ecology, conservation, and environmental management. It aims to create a new field of computational sustainability, combining constraint optimization, dynamical systems, and machine learning.
Researchers at Wageningen University used special horseshoes to measure accelerations of horses undergoing aquatraining and walking normally, revealing lower impact forces during 'aquatic walking'. However, rising trot may not be as advantageous as previously thought, with similar back extension in both sitting and rising trot.
A new research project uses computer modeling to look at the best way of using ventilators while minimizing the risk of injury. Real-life data collected from patients will be used to create the models, which could lead to computer management of ventilators for optimal treatment and reduced harm.
A new study by University of Utah meteorologists finds that current climate models are accurate and can be valuable tools for reversing global warming trends. The study shows that coupled models can simulate present-day climate with accuracy approaching conventional observations.
A computer model developed by researchers at the Catholic University of Leuven can predict the oxygen concentration inside pears, leading to a better understanding of internal browning. The model suggests that extremely low oxygen concentrations in the core of the pear can lead to cell death and browning.
A team of Cornell researchers has developed a computer model that explains how granulite, a fine-grained metamorphic rock, forms in the Earth's crust. The model reveals that granulite can form at various depths but at similar temperatures as melted rock migrates up through the crust.
Researchers used topographic data from NASA's HiRISE camera to determine how a flow of pure liquid water would look on the images versus an avalanche of dry granular debris. The study found that the dry granular case was the winner, suggesting that liquid water has not been found on the Martian surface within the last decade.
Edmund M. Clarke has been recognized for his pioneering work on Model Checking, a technique that analyzes the logic underlying a design to detect errors in hardware and software. This approach has significantly improved the reliability of complex computer chips, systems, and networks.
Researchers find current computer vision tests misleading due to design flaws that enable computers to succeed where humans would fail. The team argues for revamping standards and images to better understand the difficulty of object recognition.
The new software TranStat analyzes infectious disease data to determine the probability of transmission between individuals. This information helps health officials develop effective strategies to contain outbreaks and conduct further studies in real-time.
Researchers will create detailed computer models of a new proposed type of nuclear reactor, the sodium-cooled fast reactor (SFR), which can burn highly radioactive materials and operate without using new fuel. The project aims to improve understanding of the physics of the system to design safer reactors.
A new report highlights the ongoing debate over climate change models, with scientists emphasizing the importance of understanding physical laws while acknowledging uncertainties. The Institute of Physics' report notes that while there is general consensus on climate causes, there is not unanimity among experts.
Graduate students at Johns Hopkins University gather data on ragweed pollen behavior using high-tech and low-tech tools. Their findings could lead to better ways to track pollen travel and control its spread, benefiting 15 million people with ragweed allergies in the US and Canada.
Researchers at Loughborough University are developing advanced computer models to simulate sports equipment behavior, enabling more accurate designs and better performance. The models will aid in reducing prototype manufacturing costs and increasing participation in sports, leading to improved health benefits.
Researchers propose that early humans used efficient bipedal walking rather than chimp-like 'Groucho' walking. Without an Achilles tendon, their ability to run would be severely compromised, with top speeds halved and energy costs more than doubled.
Researchers used World of Warcraft to simulate a virtual epidemic, revealing the importance of individual behavior in spreading diseases. The outbreak, caused by a programming error, highlighted the limitations of computer models in predicting human behavior.
The new UC San Diego model can create life-like milk images based on fat and protein content, and work backwards to determine the composition of a material. This technology has potential applications in food safety, atmospheric science, and diagnostic medicine.
A team of biomedical engineers developed a computer model that uses Bayesian math to explain how the brain anticipates new motor skills. The model is based on similar learning patterns in humans and can predict the best ways to teach new movements, potentially helping stroke patients and designing physical therapy regimens.
Researchers have created a unique computer model that can bend electromagnetic radiation around an object, making it appear invisible from close range. This breakthrough uses light waves rather than beams, and could potentially be used in military technology such as fighter jets and submarines.
A new study finds that Arctic sea ice is retreating more quickly than computer models project, with the actual rate being 30 years ahead of schedule. The research indicates that greenhouse gases may be playing a significantly greater role in ice loss than previously thought.
A study by Dr. Brian Stemper and colleagues found that setting head restraints close to the back of the head can minimize injuries from whiplash. The researchers developed a computer model that shows increasing distances between the head restraint and the back of the head can lead to ligament stretch, making whiplash injury more likely.
Scientists use NASA satellite data and computer modeling to track Yellowstone bison migration patterns and predict when they will leave public land for private property, reducing conflicts with ranchers. The project provides daily maps of snowpack depth and density to inform park officials' decisions.
Andrew Christlieb, a Michigan State University assistant professor of mathematics, has been awarded $300,000 over three years to study questions of plasma physics and develop new methods for solving complex problems. His research aims to improve the speed and accuracy of computer models used in simulations of complex systems.
Climate scientists have detected human-induced climate change at a regional scale in Canada, southern Europe and China. The study uses four climate models to simulate climates over time periods, reproducing observed temperature changes that can't be explained by natural variability alone.
Researchers have devised a new way to visualize and quantify the activity of key enzyme PKA, linked to heart failure. This innovative technique combined computer modeling with fluorescence-imaging in living cells, uncovering new details in molecular control.
Researchers from the UK Met Office and the University of Leeds have developed computer models to predict rotor winds, which can be devastating for aircraft. The T-REX project uses these models to check accuracy and improve predictions, ultimately enhancing safety at mountainous airports.
A unified theory outlines the processes involved in perception of advertising, including gauging attractiveness and evaluating relevance. Attractive spokespeople may be less persuasive than unattractive ones when consumers believe their thinking is unduly influenced.
Researchers have developed a computer model to help conserve the Mount Graham Red Squirrel, which is isolated in a small area of Arizona desert. The model will identify areas where conservation efforts can be focused to address threats such as grey squirrels and habitat damage.
Researchers used computer simulations to recreate Tropical Storm Gert's conditions, improving model accuracy and understanding of hurricane formation. The study revealed the importance of topography in Mexico's role in helping storms form.
A Delft mathematician has developed a new method for calculating the effectiveness of protective clothing against NBC-weapons using computer modeling. The research aims to determine at which point in time the clothing loses its protective function, allowing for more efficient design and improvement.
Researchers combined NASA's QuikSCAT satellite data with aircraft sensor data from tropical storms, improving the accuracy of hurricane forecasts. The new generation WRF computer model was able to reproduce the structure of rainfalls that caused flooding during landfall, providing valuable insights into tropical cyclones.
Researchers predict Cycle 24 sunspots will span 2.5% of Sun's surface, peaking in 2012, with improved forecasting tool helioseismology used to analyze recent solar cycles and forecast future activity.
Scientists will analyze air and aerosol pollutants using aircraft, ground stations, and satellite observations. The goal is to understand the impact of urban pollution on regional and global climate, ecosystems, and visibility.
Researchers from NASA and Columbia University reproduced an abrupt climate shift 8,200 years ago by simulating a massive freshwater flood into the North Atlantic Ocean. The study used GISS Model E-R to model the impact of the flood, which caused temperatures to drop several degrees in some areas.
Researchers analyzed data from multiple satellites, including NASA's Terra and Aqua satellites, to understand the rapid weakening of Hurricane Lili in 2002. The study found that dry air moving into the storm's low levels created an 'open eyewall' that led to a significant decrease in strength.
MIRIAM is a voluntary code of conduct that standardizes computer models of life, providing reference correspondence and annotation schemes to improve searchability and usability. By adopting MIRIAM, model repositories can ensure quality control and facilitate collaboration among researchers.
Researchers at Johns Hopkins University have discovered a new mathematical formula, called the advected delta-vee equation, that can help predict turbulent flow behavior. This equation provides a shortcut to describe a complex characteristic of turbulence called intermittency, which is difficult to include in computer models.
Researchers at CU-Boulder developed a microscopic rotor that turns in a desired direction using an oscillating electrical field. The device has potential applications in nanotechnology machines and could be used to power chemical sensors, cell-phone switches, miniature pumps or even laser-blocking goggles.
Researchers have developed a new approach to predicting flooding in the West, combining computer simulations with satellite imagery and field data. The method provides more accurate hazard information and could have significant economic impacts on rapidly growing Southwest cities.
Researchers develop a computational model that accurately predicts cell behavior, revealing intricate protein interactions and improving cancer treatment design. The model has practical applications in developing targeted therapies that don't weaken patients' immune systems.
Researchers are developing new techniques to detect deception using cameras and sensors, aiming to improve security at border crossings and buildings. The Rutgers team will employ image-based models and machine learning algorithms to analyze facial expressions and body movements, increasing accuracy over current polygraph technology.
Recent warming of the tropical troposphere has been confirmed by new observational estimates and state-of-the-art climate models. The warming trend is attributed to an 'amplification' effect caused by moist air rising and condensing into clouds, with temperature changes in the deep tropics larger than at the surface.