Articles tagged with Computer Modeling
Researchers found that changing ice sheet height affects global climate differently from freshwater influx alone, with warming sea surfaces and regional changes observed. The study suggests that the role of topography in Heinrich events may be more significant than previously thought.
NASA's TRMM satellite detected an isolated area of heavy rain remaining in Tropical Storm Karina, indicating a weakening uplift in the storm. The storm is forecast to turn westward and slow down soon, with two computer models predicting it will weaken to a tropical depression in about 72 hours.
Researchers found that flocking starlings aim to maintain an optimum density to gather data on surroundings, creating a dynamic pattern of light and dark. This pattern is crucial for individual birds within the flock to gather vital information.
A new study by McGill University professor Shaun Lovejoy uses statistical analysis to determine the probability that global warming since 1880 is due to natural variability. The study concludes that the natural-warming hypothesis can be ruled out with confidence levels greater than 99%, and most likely greater than 99.9%.
A novel approach to managing model structural uncertainty is introduced, which can help prioritize improvements for better decision-making. The method analyzes internal discrepancies within the model and expresses beliefs about error sizes, providing an indication of relative importance.
Researchers created 'habitat corridors' in South Carolina to test how wind moves seeds. They found that corridors increase seed movement and promote plant diversity when aligned with prevailing winds. The study has implications for conservation efforts in Midwestern ecosystems.
Researchers developed a lightweight detection system using the hidden semi-Markov model to identify malware-infected computers. The approach can model normal behavior and highlight deviations caused by malware, making it easier to detect botnets in real-time.
The Penn State-led team aims to improve existing hydrological predictions and study the coupling of water with its environment. The goal is to create a strategic tool to assist in decision-making for extreme weather events.
IRIS has captured detailed images of the interface region between the sun's surface and corona, revealing more violent and turbulent phenomena than previously understood. The mission's observations also provide new insights into solar eruptive events and the dynamics of the low solar atmosphere.
Researchers at TUM developed a computer model of acoustic coding in the inner ear and neuronal information processing by the brain stem, allowing for improved coding strategies and faster testing of new devices. This advancement has the potential to significantly reduce development cycles and provide better hearing outcomes for patients.
A computer model developed by a University of California, Riverside sociologist and Indio police has predicted burglaries by census block group, leading to an 8% decline in thefts. The model uses crime data and truancy records to anticipate hot spots of crime, enabling targeted prevention activities.
Researchers discovered how jellyfish move with lowest cost of transport, using a critical pause between contraction and expansion to create a vortex that propels them forward. This feat allows the creature to travel 30% farther each stroke cycle, reducing metabolic energy demand by swimming muscles.
Researchers at Scripps Research Institute have developed a new method, called Extensive Combinatorial Refinement (ExCoR), that combines existing formulas to create more accurate computer models of molecules. This process can help identify the best algorithms for refining structural details and improve the development of drug candidates.
Researchers at Rensselaer Polytechnic Institute have created a computational model that accurately simulates the complex twists of RNA as it folds into a critical hairpin structure. The new model can simulate the folding of three known versions of a tetraloop, accurate to within one ten-billionth of a meter.
A Johns Hopkins-led research team aims to replace electric shocks with gentle light to heal ailing hearts and treat arrhythmia. The team has successfully tested this technique on a computer model of the heart, using biological data and an intricate computer model.
Researchers from North Carolina State University have developed a new open-source energy economy optimization (EEO) model called Temoa. The model provides transparency into its workings, allowing anyone to check its accuracy and replicate findings. With this advancement, policymakers can make more informed decisions about energy policy...
A new study by Tufts University suggests that vasectomy may be more effective than traditional neutering in managing feral cat populations, as it prevents reproductive hormones from protecting turf from competitors. The research supports the use of a trap-vasectomy-hysterectomy-release method to control feral cat colonies.
Researchers created a simplified computer model of the Fæhråe-Lindqvist layer, a thin plasma layer controlling platelet speed in blood vessels. The model predicts how different red blood cell shapes affect blood flow and can help design artificial platelets and treatments for trauma injuries.
Researchers developed a new model to simulate cloth accurately in animated movies and video games, addressing existing limitations. The model uses a novel approach to simulate light interaction with cloth, treating fabric as a mesh of interwoven microcylinders.
Researchers developed a new method for reliable fiber tracking with accurate orientation, outperforming existing methods in tracking white matter bundles. The approach showed superior results in detailed images of fiber bundles.
Researchers at Disney Research built computer models by monitoring artists as they sketch human faces, capturing each artist's drawing style, strokes, and feature selection. The system successfully generated multiple distinct styles similar to hand-drawn sketches.
A new model has been developed to improve the clarity of vehicle-to-vehicle transmissions needed for 'intelligent transportation'. The model accounts for motion-induced signal distortion, reducing errors in data transmission. This innovation has the potential to provide real-time warnings and improve road safety
Researchers at Carnegie Mellon University have identified which emotion a person is experiencing based on brain activity using machine learning techniques. The study, led by Karim Kassam, achieved high accuracy levels in identifying emotions from fMRI data and has potential applications in assessing emotional responses to various stimuli.
A low-pressure area has formed near the Philippines and is expected to develop into Tropical Depression 4 in the coming days. The system, named System 91W, is currently located about 355 miles east-southeast of Manila and is moving northwards.
A study published in Nature found that 70% of stars with high sodium content fail to reach the final red giant phase. This discovery challenges previous assumptions about the life cycle of low-mass stars, including our Sun.
Markus Covert, a Stanford bioengineer, has been awarded a $1.5 million grant to develop complex computer models of living organisms. He aims to build models of human cells and tackle fundamental questions in biology.
A UI researcher has developed a computer program that can accurately predict the effect of role posture on bone and muscle stress in the head and neck during whole-body vibration. The model may reduce the need for human subjects in design and testing, benefiting industries such as automotive and heavy machinery manufacturing.
A new study published in PLOS Computational Biology uses a computer model to accurately mimic how the brain processes musical timbre, allowing for better instrument recognition. The researchers found that wind and percussive instruments tend to be most different from each other, with strings and winds being closer together.
Researchers are using computational models and digital tools to build a clearer picture of disease mechanisms, aid in diagnosis, and test therapies. These advancements have the potential to predict patient risk and develop more effective treatments.
A new technique has been developed by North Carolina State University researchers to improve the accuracy of determining a battery's remaining charge in real-time. This will enable electric vehicle drivers to better estimate when their car may run out of juice.
The proposed algorithm generates feature sensitive non-uniformly distributed discrete sample points for underlying point sets. It uses a Gaussian sphere-based sampling scheme to simplify the point set surfaces, and then applies an adaptive re-sampling framework to generate the desired samples.
The study found that the ice sheet has retreated and stabilized in the past, challenging current models and computer calculations. The researchers used aerial photos from the 80s and satellite data to analyze the thinning of the ice sheet over 30 years.
Researchers at Caltech have created a dynamic computer model that reproduces the physics of a fault segment, showing both seismic and aseismic behavior. The model predicts changes in earthquake frequency and location, shedding light on the seismic cycle and potential forecasting of earthquakes.
Researchers at Kansas State University are developing a self-adapting computer network that can detect and defend itself against cyber attacks. The 'moving-target defense' system randomly changes its configuration to make it difficult for hackers to identify vulnerabilities.
Patel's research uses novel computer modeling methods to study the biophysics of model cell membranes, revealing non-intuitive behavior of polar molecules. The NSF Career Award will also support a new computational-chemistry course for Newark High School students.
A computer model assesses ecological impacts and compares effectiveness of strategies to reduce biological diversity risks. The study shows that preserving fallow land and field margins can buffer unintended side-effects and prevent external costs.
Researchers at Carnegie Mellon and Stanford are expanding the EteRNA project with a $1 million grant from the W.M. Keck Foundation, allowing them to test thousands of RNA designs each month. The online game has identified talented players who can generate important scientific insights.
Researchers used brain imaging and computer modeling to show how the brain's white matter tracts are altered in autism, affecting brain function and behavior. The findings give scientists clear targets for developing intervention and treatment therapies.
Using guillotine-based experiments and computer modeling, researchers at the University of Bristol studied the efficiency of bladed tooth shapes. They found that different shaped teeth are optimized for different types of food, with V-shaped edges being similar to those found in sharks and carnivorous mammals.
Researchers used computer models to reconstruct T. rex's jaw muscle and found its bite force could reach up to 57,000 Newtons, making it the most powerful bite among terrestrial animals.
Researchers from UT Austin are part of a $3 million NSF Delta research collaboration to build comprehensive computer models for predicting river delta evolution. The project aims to understand how deltas respond to human activities and learn to direct delta evolution.
A new computer model developed at the University of Illinois can simplify the transition from field to biorefinery by optimizing operations to reduce costs and greenhouse gas emissions. The model takes into account regional attributes such as weather, crop yield, farm size and transport distances, and can run millions of simulations.
Computer models can identify health and safety issues at mass gatherings and simulate the spread of infections to test public health interventions. These models could be used to minimize health hazards and prevent outbreaks, saving lives and resources.
Researchers found that uninformed individuals can bring about a majority decision, even if the minority is more determined than the majority. The number of undecided individuals must not be excessive, or decisions become unpredictable and follow a random pattern.
Researchers created a computer model that calculates the probability of benzocaine molecules entering a cell's membrane based on its composition. The model predicts that membranes made mostly of negatively charged phospholipid DPPS present less barrier to benzocaine, leading to safer and more effective use.
Sunspot 1283 has erupted with multiple flares, including an X1.8 flare on September 7 and a moderate M6.7 flare on September 8. NASA predicts that the latest coronal mass ejection may cause some aurora on the morning of September 11.
A comprehensive analysis of 600 studies found that simulation-based training consistently outperforms traditional instruction. The study's findings suggest that simulation can be an effective tool for teaching physicians and other healthcare professionals, offering benefits such as repeated practice without patient harm.
Researchers at Northwestern University have developed a new model for predicting disease spread by considering the base location of individuals. This approach creates significant differences in disease predictions compared to traditional models.
A new computational model of the human foot reveals the importance of toe strength in determining body balance. The model's findings support previous studies on real people and could lead to improved robotic body parts and prosthetics.
A new model developed by Sheldon Jacobson predicts the most likely Final Four combinations based on seedings, rather than team performance. The model suggests that choosing a combination of two top-seeded teams, a No. 2 seed, and a No. 3 seed is the best bet for winning the office pool.
Neuroscientists at Johns Hopkins University discovered that cells in area V4 of the primate brain select out only the most vital information for understanding the visual world. The brain compresses visual information by responding mostly to flat edges and shallow curvatures, rather than rare high-curvature regions.
Researchers at UNC are developing computer models to help physicians predict which treatments will work best for children with upper airway problems. The project aims to create tools to evaluate the pediatric airway and predict medical or surgical interventions for specific children with conditions such as Pierre Robin sequence.
A new study by National Center for Atmospheric Research scientist Jeffrey Kiehl examines the relationship between global temperatures and high levels of carbon dioxide in the atmosphere tens of millions of years ago. The study finds that atmospheric concentrations of greenhouse gas may reach levels that existed about 30 million to 100 ...
A new analysis suggests that future global temperatures may exceed projections by a factor of two, with potentially catastrophic consequences. The study, led by NCAR scientist Jeffrey Kiehl, warns that continued high levels of carbon dioxide in the atmosphere could lead to a repeat of Earth's hot past.
A study has characterized a crucial chemical reaction that affects ground-level ozone formation in urban areas. The research, funded by NSF and NASA, reveals that current computer models may underestimate ozone levels in urban areas by up to 10%.
A new study by NCAR scientists finds that deciduous plants absorb about a third more oVOCs than previously thought, taking in 36% more compounds globally. This process cleanses the atmosphere, with plants adapting their metabolism to absorb chemicals as a response to stress.
A simplified clinical tool has led to the reclassification of millions of Americans into different risk groups, potentially affecting their treatment. The study found that 15% of adults were reclassified, with 10% moving to higher-risk groups and 5% to lower-risk groups, leading to potential over-treatment or under-treatment.
A new University of Central Florida study will examine how rising sea levels threaten barrier islands, beaches, and critical habitats in the Florida Panhandle and along the Alabama and Mississippi coasts. The research aims to provide policymakers with data to plan for a changing coastline.
A Stanford University study has found that carnivorous grasshopper mice are the primary carriers of the deadly plague disease in prairie dog towns. The research suggests that when grasshopper mouse density becomes high, it leads to an epizootic, resulting in the deaths of virtually all prairie dogs in a town.
Researchers use computer models to reveal how genetic mutations and nervous system activity disrupt heart rhythm, increasing risk of sudden cardiac death. The study's findings may lead to preventative treatment options for those at high risk.