Articles tagged with Computer Modeling
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.
Researchers simulate sensor web technique to track pollution transport and improve forecast accuracy. The technology coordinates observations from satellites, airborne instruments, and ground-based stations to provide alerts days in advance for vulnerable populations.
Research reveals that household dust is a significant source of flame retardants, posing health risks. The study suggests that frequent house cleaning and improved ventilation can help minimize exposure.
A new computer model reveals that ancient Palaeozoic seas were almost tideless, preventing oxygen circulation and creating an environment inhospitable to life. This finding has significant implications for understanding the evolution of early marine life and ancient climates.
Researchers at Stanford have developed a computer model that incorporates imaging data and can predict patient outcomes with increased accuracy. The model, which factors in the flexibility of veins and arteries, has shown promising results in large-animal studies, predicting flow after an aortic graft within 10%.
A study by Kevin Svitana found that an underground aquifer containing toxic chemicals is being kept trapped beneath old riverbeds, preventing them from reaching the Ohio River. The unique interaction between the aquifer and river appears to be due to the presence of permeable sands and gravels in the subsurface geology.
Researchers used computer models to locate areas where soil moisture influences rainfall, identifying common features known as 'hot spots'. These hot spots are found in transition zones between wet and dry regions, with implications for seasonal forecasting of rainfall and improving weather forecasts.
Scientists used computer models to analyze the internal structures of Jupiter and Saturn, finding that heavy elements like iron are concentrated in Saturn's core. The research uses data from shock compression experiments and helps improve models of the planets' formation.
The Emory research team will model disease outbreaks in hypothetical American communities to find the best methods of controlling epidemics. They will also investigate the interaction of microorganisms with the immune system and its relation to disease spread.
The MIDAS (Mathematical Information Domain for Assessment of Substantial Threats) project will create mathematical models to study infectious disease epidemics and community responses. The project, funded by the NIH, will provide user-friendly computer modeling tools for predicting and responding to bioterror threats.
Researchers from Rutgers University will follow the flow of a red dye on a research vessel for about five days to study the Hudson River Plume. The study aims to gain knowledge about where the plume goes and what it contains, with potential applications in predicting algae blooms and sewage disposal decisions.
A team of researchers from Cornell University and Gene Network Sciences Inc. has developed a 3D computer model of the canine heart to simulate ventricular fibrillation. The model aims to help understand the causes of this life-threatening condition, currently treated with electrical shocks that can damage the heart.
Research found that changes in land cover, particularly vegetation, have impacted regional temperatures and precipitation in the US. Land cover changes produced a significant cooling effect of more than one degree Fahrenheit in parts of the Great Plains and Midwest.
NIST develops standardized emergency response software and proposes industry-government collaboration to enhance interoperability. The proposed Electronic Emergency Response Framework will provide decision-makers with easily accessible modeling and simulation tools.
The system uses computer models to predict impacts of cities on regional and global land and atmospheric processes. By incorporating local energy and water cycles, predictions can be applied to climate and weather forecasting, agricultural management, and hazard mitigation.
A new computer model developed at Ohio State University provides a detailed understanding of how municipal wells in Woburn, Massachusetts, came to be contaminated with toxic chemicals. The results suggest that the contaminants likely originated from industrial properties and flowed into the nearby Aberjona River, raising concerns about...
A team of researchers used a computer model to simulate the impact of airbag deployment on pilots wearing night-vision goggles. The study found that minimal distance between the eyes and goggles increased stress on orbital bones, while a protective lens reduced impact force but increased surrounding bone pressure.
A NASA study tracked a dust storm that traveled from China to the French Alps in just two weeks, crossing multiple continents along the way. The research used computer models and meteorological data to recreate the dust's journey and understand its composition and origin.
A Texas forestry sciences researcher has developed a two-dimensional warping model based on the mechanics of layered composites, enabling factory managers to make changes in manufacturing processes. The model uses commercial spreadsheet software to calculate and plot overall linear expansion and out-of-plane warping of wood-based panels.
A computer model has been developed to calculate how concrete responds to salt and moisture exposure, allowing for the simulation of various factors that affect its durability. The model can be used for both designing new concrete structures and analyzing existing ones, enabling more accurate predictions of their lifespan.
Warren Washington predicts that the global climate will continue to warm into the 22nd century, albeit at a slower rate than if emissions are not controlled. Climate extremes such as heat waves, floods, and droughts are expected to become more severe and frequent.
Researchers predict a significant warming trend in global temperatures, with the greatest impact felt in winter hemispheres, due to retreating snow and ice in high latitudes. The range of predicted temperature changes is 1.5-6 degrees centigrade, with most models predicting a 2-4 degree rise.
Hydrologist Robert Lenhard has refined current constitutive theory to predict residual NAPL distribution in subsurface, resolving a critical contamination modeling problem. His new model predicts pulse-like contamination generation during heavy rainstorms and flooding, influencing environmental remediation choices.
The Molecular Sciences Institute (MSI) has been awarded a $15.5 million grant from the National Human Genome Research Institute to develop computer models of cellular signaling, aiming to predict intra-cellular signaling and enable more precise targeted treatments for diseases.
A NASA study suggests that mixed croplands can lead to a cooler and wetter climate in certain regions. The researchers used satellite measurements of vegetation to simulate regional climate and found that this type of land use can alter atmospheric circulation, leading to increased convection and precipitation.
Researchers at the AAAS Annual Meeting discuss advancements in nanoelectronics, including mesoscale structures and single-molecule devices that could lead to more powerful electronic and computing devices. The development of these devices is dependent on a better understanding of dynamic behavior and circuitry.
A virtual lung model developed at PNNL may help predict pollutant impact on respiratory systems, providing new insights into asthma and other pulmonary diseases. The model simulates how pollutants enter, travel through, and collect in the lungs, enabling scientists to design targeted treatments.
A new computer recycling model developed by Purdue University's Julie Ann Stuart can help recyclers determine the economic viability of processing bulk materials. The model takes into account factors such as metal prices and helps prevent financial losses for recyclers.
The Johns Hopkins University Applied Physics Laboratory has developed a low-cost method to fabricate scale models for aerodynamic wind tunnel tests. The alternative approach uses non-metallic materials like engineering polymers and thermoset resins, enabling program managers to obtain high-quality data at a fraction of the cost of trad...
A Princeton scientist created a computer model of a mouse brain that can recognize spoken words, challenging conventional views on sensory perception. The model uses sensitive timing of electrical signals to perform calculations, potentially leading to faster and more sophisticated brain functions.
A Carnegie Mellon University computer model performed as well as a human in managing seven tasks simultaneously and coping with frequent interruptions. The training advantages of the model are enormous, allowing operators to gain valuable experience at much less cost.
A new model developed at the University of Illinois predicts residual stresses in polymer-matrix components, enabling accurate prediction of final dimensions and dimensional accuracy. The model combines simulation with optimization methods to reduce product defects and improve manufacturing process.
A new computer model has shown early success in predicting toxic blue-green algae blooms up to four weeks before they occur. The model uses artificial neural networks to learn key factors contributing to algal outbreaks, enabling accurate forecasts and better understanding of the factors involved.