Articles tagged with Computer Modeling
A team of researchers is developing a data-driven computer model to diagnose and treat strabismus, a prevalent condition affecting 18 million people in the US. The model will use clinical information from MRI scans, surgical procedures, and patient outcomes to improve treatment options.
The researchers identified underlying causes of the deadly Palu earthquake and tsunami using coupled computer models. The team found that the earthquake-induced movement of the seafloor beneath Palu Bay itself could have generated the tsunami, meaning landslides contributed less to its formation than previously thought.
Research at Max Planck Institute for Psycholinguistics found that slight variations in vocal tract anatomy impact vowel pronunciation, while cultural transmission amplifies these differences. This study sheds light on individual variation in speech and its role in shaping languages.
Research findings suggest a narrow depth range of six to 10 kilometers for magma chambers to erupt repeatedly, due to water vapor bubbling and crust expansion. This 'sweet spot' is found between pressures of 1.5 and 2.5 kilobars, allowing the chamber to grow without erupting.
Researchers at Princeton University successfully built microtubules from scratch, revealing the branching pattern that enables cell growth and reproduction. Their study, published in eLife, provides insights into the molecular mechanisms underlying these cellular structures.
A new computer model simulates stomatal movements in response to light, enabling scientists to predict crop yields and climate change effects. The model has the potential to create virtual plants for more accurate predictions, improving food productivity sustainably.
A new statistical approach calculates the likelihood of an ice-free Arctic Ocean at different warming levels, finding a 6% chance at 1.5°C and 28% at 2°C. The research suggests a sea ice-free summer Arctic Ocean is most likely to occur at 2-2.5°C warming.
A Purdue University researcher has developed a computer model that analyzes what happens during an active shooter situation, providing valuable information for schools and other organizations. The model focuses on the library at Columbine High School and suggests that running from the situation is often linked to the best outcomes.
Scientists are using the laws of physics and predictive computer modeling to improve bioprinting techniques, which can create living tissues like muscle and bone. The new approaches aim to overcome trial-and-error methods and achieve more controlled printing processes.
Researchers studied inhibitory neurons' impact on brain oscillations using computer models. They found that these neurons can delay or facilitate the onset of synchronization, which is crucial for understanding brain diseases like Alzheimer's and epilepsy.
A new methodology for building computer models has been developed at Oregon State University, enabling better prediction of coastal flooding risk. The research used statistical techniques and 'emulation' to reduce complexity and improve performance, allowing for nearly instantaneous use of the model for future flooding scenarios.
MORPHEUS, a new processor architecture, blocks potential attacks by encrypting and randomizing key bits 20 times per second. This makes vulnerabilities virtually impossible to exploit, providing a future-proof secure system.
Researchers developed FitRec, a deep learning tool that analyzes past performance to predict speed and heart rate. The tool identifies important features affecting workout performance and recommends alternate routes for runners to achieve specific target heart rates.
A new computer-aided model developed in the UK can predict sepsis risk using routinely collected data. The cNEWS score can trigger screening within 30 minutes of admission and support clinical judgment.
A team of researchers developed a computer model called NarcoLogic to assess cocaine interception scenarios and predict how drug smugglers react. The model demonstrated that narcotics trafficking is widespread and difficult to eradicate due to law enforcement intervention.
A new study reveals that recent intensification of the equatorial Pacific wind system known as Walker Circulation is unrelated to human influences and can be explained by natural processes. The observed strengthening of the Walker circulation from about 1990-2013 was a naturally occurring phenomenon, contrary to projections of anthropo...
A new deep-mapping computer model detects visual changes to individual properties, allowing researchers to track gentrification in neighborhoods and cities. The model achieved 95% accuracy in detecting gentrification indicators, revealing detailed maps of spatial evolution of gentrification through time.
A Johns Hopkins study using a new computer modeling method simulates asteroid collisions and finds that larger objects are not as easily broken as previously thought. Instead, asteroids retain significant strength after impact due to the formation of a damaged core.
A new computer program, EnABLe, simulates the most likely locations of Listeria monocytogenes in processing facilities to inform pathogen testing. The model has potential for application to other microbes and environments, including hospital-acquired infections and fruit and vegetable processing plants.
Researchers at the University of Texas at Austin developed a new computer modeling approach to investigate the connection between tiny tremors and devastating megathrust earthquakes. The study shows that changes in crustal stress state occur before major earthquakes, providing valuable insights into the forces driving these events.
A team of researchers has created a computer model using cancer patient data to predict the course of disease for prostate cancer. The model, currently being implemented at a clinic in Germany, can identify key mutations that trigger the disease.
Researchers developed a computer model that accurately identifies animal species in camera-trap images from across the US with a 97.6% accuracy rate, surpassing human volunteers.
A new study uses computer models to simulate debris movement and recreate the puzzling patterns of grooves seen on Phobos. The model suggests that boulders blasted free from an ancient asteroid impact created the distinctive feature.
A novel unsupervised language translation model developed by MIT researchers can translate far more languages with greater speed and efficiency. The model uses Gromov-Wasserstein distance to align words in two languages, achieving accurate results without human annotations.
Researchers developed a computer model showing how climate change affected food production in ancient Asia, leading to crop diversification, trade networks, and the development of the Silk Road. The study suggests that adapting to climate change requires investing in diversity and innovation.
A new USC Dornsife study finds that genes can help an organism survive, rather than just being a negative trait associated with aging. This challenges the long-held hypothesis of 'antagonistic pleiotropy', which suggests that genes that enhance reproduction contribute to aging.
A team of biologists and civil engineers developed the first 3D computer model to capture breast duct development, using science and engineering principles to predict cellular forces. The model reveals that cells migrate by pulling forward and pushing backward, forming a teardrop shape.
Researchers developed a new computer model predicting blood flow through capillaries, finding that vessels can switch between even and uneven flow. This study has significant implications for understanding healthy and disease states, and may lead to better prediction of drug transport in microvascular networks.
A new method for projecting warming patterns supports substantial global warming but indicates significant variations in regions. Historically-driven climate approaches complement complex global models, providing more reliable regional climate projections.
The PRECISE4Q project aims to develop computer-based predictive modeling to personalize and optimize treatment strategies for stroke patients. The project will collect large data sets from different sources, integrating them into self-learning computer models to minimize the burden of stroke on individuals and society.
A new project led by Clemson University's Ethan Kung aims to reduce human and animal testing for cardiovascular devices and surgeries. Kung's hybrid model combines numerical models with experimental ones, enabling more accurate predictions and faster development times.
Researchers at Los Alamos National Laboratory used computer modeling and novel molecule design techniques to study the detonation process of explosives. By replacing parts of a common explosive molecule, they were able to change its sensitivity properties.
The EcoGest project aims to understand how children's gestures are connected to communication, with a focus on iconic gestures that pertain to the forms, functions, and movements of objects. Researchers will record children aged 4-5 years old in various communicative situations to analyze their gesturing patterns.
University of Pittsburgh researchers are developing computer models to predict world events such as famine in South Sudan and refugee displacement. The models will analyze complex socioeconomic and geopolitical dynamics, incorporating both numerical and textual data.
A new study from MIT reveals that the brain uses both speed and rhythmic patterns to track objects in motion, leading to more accurate estimates. Researchers found that participants made better predictions when they had access to information about both speed and timing.
Researchers at the University of Illinois have developed a decision-tree model to predict the NCAA tournament field, achieving 90% accuracy for bubble teams between 2012 and 2016. The model provides a data-driven foundation for selecting tournament teams based on publicized criteria.
Researchers developed two models to optimize food bank operations, accounting for uncertainty in capacity and demand. The models aim to distribute food efficiently and equitably while minimizing waste.
Researchers developed mathematical models to analyze the connections between pest patterns of dispersal in crops and diversified intercropping systems. The models showed that spatial configurations can favor or inhibit pest dispersal, and identified the best refuge configuration to delay Bt crop resistance in pests.
Researchers developed a social emotion mining computer model that predicts the right ordering among six Facebook emoticons in terms of votes. The new robust label ranking model outperforms existing solutions and can help social media managers and advertisers analyze their content more accurately.
A team of scientists from UC Davis used the ising model to study pistachio tree synchronization, finding that magnetic connections between trees can explain their synchronized behavior. The study, published in PNAS, provides new insights into ecological systems and their effects in natural and managed environments.
Scientists at the University of Chicago and Argonne National Laboratory have improved computer models for understanding electron affinity in water. The new estimates may help create better ways to split water for hydrogen fuel and other chemical processes.
A century of observations reveals how sea-level rise is increasing tidal range in the Chesapeake and Delaware bays, impacting ocean navigation, fishing, and energy sources. The study found that sea-level rise can amplify tidal effects in some areas, while decreasing them in others.
Research found discrepancies between satellite and global model estimates of land water storage in 186 river basins worldwide. GRACE satellites measured changes in water storage, which differed from simulations made by seven commonly used models. The study highlights the need for improved regional assessments to ensure accurate water a...
Researchers combine small-scale experiments with computer models to explore human behavior in large groups, shedding new light on group problem-solving approaches. The approach validates the model by informing future experiments and examining policy interventions that alter social behavior.
A team at MIT has developed a rapid screening method for new solar cell materials, bypassing time-consuming lab tests and improving accuracy. The approach uses simple lab tests combined with computer modeling to predict material performance, accelerating the search for more efficient materials.
Researchers developed a powerful new computer model that replicates the biological activity within the heart preceding sudden cardiac death. The model has yielded important clues for developing treatments, identifying key molecular factors associated with arrhythmias.
Researchers have decoded the molecular process of HIV's cell spreading mechanism, a crucial step in understanding how the virus replicates itself. The findings offer new avenues for developing drugs to combat the virus.
Researchers used time-resolved small-angle x-ray scattering to observe ultra-fast carbon clustering and graphite production in PBX 9502, leading to improved computer models of explosive performance. The study found a higher percentage of graphite than previously expected.
A new computer model, Recursive Cortical Network (RCN), has been developed that can solve CAPTCHA and identify handwritten digits with comparable accuracy to state-of-the-art deep learning approaches but using significantly less training data.
The project aims to develop a literary model theory to review narratives in technical and scientific models. It will improve energy research models and promote 'hermeneutic change' in technology assessment.
A team of researchers is working on a computer software that can deliver better therapies for patients with life-threatening heart failure. The computer model will take MRI or genetic data of a patient and build a multiscale simulation of their heart, leading to more personalized treatment plans.
Hurricane Lee is weakening due to wind shear, with forecasters predicting gusty winds in Ireland and the UK over Sept. 30-Oct. 1. NASA satellite imagery shows the storm's disorganization, with wind shear pushing clouds to the south and southeast of the eye.
Worcester Polytechnic Institute Professor Songbai Ji is developing highly specific computer models of the head and brain to better diagnose concussions in real time. The models use neuroimaging data to assess injury risk and simulate real-time impact, providing athletic trainers with valuable tools to assess athlete safety.
Researchers used a network approach to analyze the polygonal patterns in clouds, finding that they can be re-created using a simple mathematical model. This new method promises to help scientists improve the accuracy of cloud descriptions in computer models, which is crucial for climate projections.
Researchers found that ultra-low velocity zones are different in composition from the surrounding mantle and migrate towards the margins of large blobs. These findings suggest that pockets of rock with distinct compositions collect at the boundary between Earth's core and mantle, likely driven by heat.
Researchers have used computer modeling to demonstrate the varying manipulability of decision-making procedures and identify those least susceptible to manipulation. Two majority relation-based procedures, Uncovered set II and Fishburn's rule, are found to be less manipulable than others.
A new study from the University of Waterloo found that strong individuals should prioritize their own safety before attempting to help weaker people in emergency situations. The research used computer modeling to simulate a flooded subway station, finding that overall survival rates were higher when strong members reached safety first.
Researchers have developed a new computer model that generates synthetic data for simulating real-world applications using giant graphs. The model, TrillionG, is faster and uses less resources than existing methods, making it ideal for testing giant graph algorithms and systems.
A seven-year study using a supercomputer has revealed the secrets of brain electrical signals and protein switches activated by binding molecules. The findings aim to develop safer and more effective anaesthetics, as well as treatments for various neural conditions such as epilepsy, anxiety, and chronic pain.
Physicists at Princeton Plasma Physics Laboratory have developed a new computer model of plasma stability in tokamaks, which could help scientists predict and avoid disruptions. The new model simplifies the physics involved and predicts conditions that can contain high-pressure plasmas.