Articles tagged with Computer Modeling
Research models show that repeated coughing can degrade face mask efficiency by allowing more droplets through. Even when worn, masks can still let out droplets up to 1 meter away during mild coughing.
New computer model simulations suggest that Neanderthals' rapid decline was due to competition with Homo sapiens for resources. The model, which considers climate change and interbreeding, shows that Homo sapiens had a significant advantage in exploiting existing food resources.
A Tsukuba University study shows that comprehensive implementation of COVID-19 infection prevention measures boosts effectiveness, while partial implementation compromises it. The study found that implementing measures either individually or in partial combinations yields limited results.
A new computer model developed by scientists can accurately predict brain age using different types of brain scan data, including MRI scans and magnetoencephalography tests. This model has the potential to be used clinically to combine various tests and predict patient outcomes such as cognitive decline or depression.
Researchers from Max Planck Institute for Dynamics and Self-Organization analyzed COVID-19 case numbers in Germany, examining the effectiveness of interventions. They found that measures slowed down the spread of the virus but did not completely halt it, and their model calculations show how different scenarios play out.
A study found that ants use cooperative transport to overcome navigational challenges, demonstrating the potential advantages of group living and collective cognition in making certain environments habitable. The team discovered that non-carrying ants played a crucial role in guiding the group and extending their sensing range.
Researchers are creating computer modeling systems to predict the spread of SARS-CoV-2 virus across four northern Arizona counties. The model can track hospital visits and stress on facilities, providing critical informatics support for strategic management of the current crisis.
Researchers have found that polymers filled with carbon nanotubes could potentially improve how unmanned vehicles dissipate energy. These materials are also less susceptible to corrosion, lightweight, and have higher electrical conductivity than traditional elastomers.
Researchers develop AI-based computer models to calculate an individual patient's risk of requiring a ventilator or intensive care. The models will analyze vast amounts of data from multiple sources, including electronic health records and test results.
The Network for Computational Modeling in Social and Ecological Sciences (CoMSES Net) is a global clearinghouse for computer models that can simulate the spread of the coronavirus. Thousands of scientists are developing these models, but their assumptions and algorithms need to be scrutinized and improved upon.
New research suggests that 86% of COVID-19 infections in China were undocumented prior to travel shutdowns, with these cases being highly contagious. The study highlights the importance of increased awareness and personal protective measures in reducing the spread of the virus.
A new computer model explains how gas bubbles form large methane hydrate deposits, advancing understanding of climate change and energy security. The model suggests that gas flowing through subsurface layers can accumulate into concentrated hydrate reservoirs suitable for future energy sources.
A new mathematical computer model predicts that soybean crops lose up to 13% of their productivity due to minute-by-minute light fluctuations. The study aims to improve photosynthesis and equip farmers with higher-yielding crops to ensure global food security.
A UBC study reveals people's worries about smart speakers extend to their housemates accessing devices, ordering online, or overhearing conversations. Researchers found that users' mental models of how smart speakers work influence their attitudes towards shared devices.
Researchers develop technique to evaluate reliability of patient risk models, which often fail to accurately predict outcomes. The method generates an unreliability score, indicating when a model's predictions are less trustworthy, helping doctors avoid ineffective or unnecessarily risky treatments.
Researchers used computer modeling to refine graphite's melting curve, finding it actually undergoes sublimation. Graphene was found to 'melt' into a gaseous state, enabling better understanding of phase transitions in low-dimensional materials.
A team of researchers created a computer model that predicts the migration patterns of sea turtle hatchlings after they leave Florida's shores. The model takes into account ocean circulation data and sea turtle nesting and stranding information to inform conservation efforts and guide policies.
A new EU project, HUBCAP, aims to enable small and medium-sized enterprises (SMEs) to adopt computer-based models for cyber-physical systems. The project provides a cloud-based platform for testing and implementing modern computer models, as well as funding opportunities for SMEs to work on specific projects.
Emerging methods aim to simulate the net-forming molecule behind clots, highlighting advances in understanding vWF behavior and potential therapies targeting platelet aggregation and ADAMTS13 enhancement. Researchers collaborate across biology and computer science to build an improved model for predicting thrombus formation.
Scientists discover that tiny holes in materials like concrete increase strength by spreading force and protecting weak zones. The phenomenon only applies where strong and weak zones are unevenly distributed, and it has the potential to predict material failure.
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 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.
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.
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 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 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 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.