Articles tagged with Mathematical Modeling
Researchers developed a new method to predict the effectiveness of mangroves in protecting coastlines against extreme weather events. The HU method uses wave non-linearity and can calculate wave height attenuation with ease, saving billions of dollars worldwide.
Mathematical modeling research from University of Utah Health suggests that treating moderate cases with antibiotics could limit the spread of cholera and reduce the likelihood of antibiotic resistance. In areas where cholera spreads slowly, aggressive antibiotic use may even stop outbreaks entirely.
A University of Ottawa-led study reveals that serotonin neurons are connected and interact with each other, controlling serotonin release in specific regions of the brain. This complex system has implications for understanding decision-making and developing targeted therapeutics for mood disorders.
Researchers developed a new method to determine optimal threshold time for restricted mean survival time analysis, improving statistical power in clinical and epidemiological studies. The method outperformed traditional statistical analysis methods in real-world scenarios, revealing clear differences between treatment groups.
Machine learning (ML) techniques can identify materials with high synthesis feasibility and suggest suitable experimental conditions. Computational models derived from thermodynamics and kinetics enhance predictive performance and interpretability of ML models, optimizing experimental design and increasing synthesis efficiency.
Researchers Ana Ivonne Vazquez-Armendariz and Jan Hasenauer are using their prize money to study the functions of scavenger cells in the lungs, combining mathematics and medicine. Their new models aim to understand how these immune cells behave in the lung, potentially unlocking better defense mechanisms.
Researchers analyzed massive audio recordings to create a dictionary of short melodies in English-language prosody, assigning functions and meanings. They discovered hundreds of basic patterns with linguistic functions, including conveying attitudes such as curiosity or surprise, and identified syntactic rules governing their order.
A mathematical modeling study suggests that sustained HIV remission or eradication could consistently reduce new HIV infections among men who have sex with men (MSM) in the Netherlands. However, transient remission with a risk of rebound may increase new infections if not closely monitored.
Researchers propose universe may rotate with one rotation every 500 billion years, resolving Hubble tension paradox and explaining discrepancies in astronomical measurements. The theory is compatible with current models and doesn't break any known laws of physics.
A Lehigh University team developed a novel machine learning method to predict abnormal grain growth in materials, enabling the creation of stronger, more reliable materials. The model successfully predicted abnormal grain growth in 86% of cases, with predictions made up to 20% of the material's lifetime.
Researchers developed a new modeling method that estimates customer interest beyond completed transactions and traditional forecasting techniques, providing a more precise way to understand demand. The approach helps businesses optimize operations and improve decision-making by reconstructing missing pieces of the demand picture.
Increasing dietary potassium and reducing sodium can effectively regulate blood pressure, according to a new mathematical model developed by the University of Waterloo. The study suggests that a higher ratio of potassium to sodium intake may be more effective for lowering blood pressure than simply reducing sodium intake.
The study reveals that frustrated assemblies can lead to materials with desirable properties like strength and toughness. By understanding the relationship between structure and property, researchers aim to design advanced materials for medical devices and sustainable construction.
Researchers developed a machine learning-powered fluid simulation model that significantly reduces computation time without compromising accuracy. The new surrogate model maintains the same level of accuracy as traditional particle-based simulations while reducing computation time from approximately 45 minutes to just three minutes.
A study reveals widespread overlap between feeding grounds for seabirds, marine mammals, and regions with high wind potential. Researchers propose developing risk maps to predict conflicts and recommend expanding marine protected areas and strengthening spatial planning tools.
A project aims to understand how temperature, light pollution, and bird abundance affect West Nile virus transmission in mosquitoes. The goal is to advise health departments on the best time to kill bugs and limit transmission.
A new framework developed by MIT researchers allows large language models (LLMs) to break down complex planning problems into manageable parts and find optimal solutions using software optimization tools. The framework achieves an 85% success rate on nine complex challenges, outperforming the best baseline.
A new study models the demography of agricultural transitions, finding that population dynamics played a crucial role in the adoption of farming. The researchers used an ecological model to analyze interactions between farmers and hunter-gatherers, highlighting the impact of factors such as group migration and cultural assimilation.
Three UVA Engineering faculty members, Scott T. Acton, Gustavo Kunde Rohde and Shannon Barker, have been named to the 2025 class of the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows. They are recognized for their contributions to biomedical engineering research, innovation, teaching and leadership.
A new mathematical model reveals that humans played an active role in the transition from hunting and gathering to farming, driven by factors like population growth rates and competition. The study challenges traditional views that focused on environmental factors, providing fresh insight into the rise of farming.
Researchers at Kumamoto University have developed a new mathematical modeling technique for linear periodically time-varying systems, enhancing the accuracy of control system models. This breakthrough has profound implications for industries relying on complex control systems, such as autonomous vehicles and aerospace applications, imp...
A team of researchers from Osaka University has demonstrated that human tissue can be used to solve complex equations and process information, outperforming traditional computing methods. This breakthrough uses the concept of reservoir computing, where data is input into a complex 'reservoir' that encodes rich patterns.
Researchers developed a new method to include uncertainty in predictive algorithms, ensuring accurate and reliable solutions. The approach uses Markov models to explicitly include uncertainty in specific parameters, allowing for faster predictions and more complete analysis.
Researchers discovered that pedestrians form neat lanes in crossing roads only until people start veering off at extreme angles, after which the flow becomes disordered. The team's theory predicts that critical angle of 13 degrees marks the point where crowds collapse from order to disorder.
Researchers studied Aurora Subglacial Basin's subglacial hydrology, finding dynamic rivers that change over time. This new insight may alter predictions of rising sea levels and the role of subglacial water in ice dynamics.
Researchers have experimentally confirmed complex synchronisation patterns in oscillatory systems, including leaf-like structures and gaps representing unsynchronised states. This breakthrough builds on previous studies using breathing-soliton lasers to explore nonlinear dynamics.
A new model predicts how bacteria navigate obstacles to spread, informing strategies for curbing infections or designing better drug delivery. The model focuses on three surface states: uninterrupted movement, sliding along surfaces, and getting stuck in corners.
Researchers from Virginia Tech have published a visionary paper on fusing wireless technologies and AI to create human-like common sense. The team aims to develop a network that can think, plan, and imagine like humans, enabling seamless merging of physical, virtual, and digital dimensions.
The Open Brain Institute launches a groundbreaking platform to simulate and study digital brains, empowering researchers to explore brain complexity and diseases. With its virtual neuroscience laboratories, the OBI enables global collaboration and access to cutting-edge virtual labs.
Researchers discovered how bacterial swarms transition from organized movement to chaotic flow as confinement radius increases. The study reveals intermediate states between order and turbulence through large-scale experiments, computer modeling, and mathematical analysis. These findings provide insights into the universal properties o...
Eliza Michalopoulou is leading a research project to improve ocean floor mapping using sound waves, aiming to understand the seabed's properties and characteristics. The goal is to enhance anti-submarine warfare strategies and contribute to global efforts like Seabed 2030 and Ocean Decade.
Yue Yu, Lehigh University mathematics professor, wins award for pioneering work in data-driven nonlocal models and integrating mathematical analysis into computational model design. The recognition honors her outstanding contributions to the field of computational mechanics at a young age.
A new study found that football teams move as though they are a single person, displaying Lévy walk patterns while hunting for the ball. This collective behavior suggests that individual players complement each other's actions in response to the game.
A new brain-mapping technique identified memory-related brain cells vulnerable to protein buildup, a key factor in Alzheimer's disease. The study found that certain cell types in the hippocampus and cortex were more affected by tau buildup.
A groundbreaking new framework unifies gravity from quantum relative entropy, bridging the gap between quantum mechanics and Einstein's general relativity. The theory predicts a small, positive cosmological constant aligning with experimental observations.
A research team identified simple rules governing decision-making during epidemics, which balance infection costs and social distancing. The guidelines predict population behavior based on disease reproduction number and infection cost, offering a new tool for governments to design intervention strategies.
A deep learning model, CGMformer, leverages large-scale continuous glucose monitoring (CGM) data to extract individual glucose dynamics. The model captures a continuous picture of glucose fluctuations, identifying patterns that may indicate early metabolic dysfunction.
A new mathematical model developed at the University of Waterloo can determine a baby's overall drug exposure when their mother is taking medication, specifically Levetiracetam. The probability of negative effects on a breastfeeding infant is very low for typically prescribed doses.
Researchers at North Carolina State University have developed a new technique to improve the efficiency of food-delivery operations. The technique accounts for key factors such as food supply, location, and vehicle capacity to determine optimized routes that make food delivery faster and more fuel-efficient.
Research advances higher-order networks to capture multi-agent interactions, enabling accurate modeling of biological, social, and physical systems. The Dirac-Bianconi operator provides a powerful generalization of the graph Laplacian, encoding local and global interactions across different topological dimensions.
Researchers at the University of Bristol have developed 'synthetic worms' that can move independently using active matter, a new class of materials. The 3D structures were created by applying an electric field to micron-sized particles suspended in a liquid mixture, and exhibit fascinating life-like behavior.
Researchers tracked thousands of neurons as a mouse learned to navigate two virtual corridors, revealing distinct representations of each corridor. The study sheds light on cognitive map formation and may provide insight into memory disorders like Alzheimer's.
A new method allows for accurate measurement of blood-brain barrier permeability, revealing that many CNS drugs penetrate the barrier rapidly. The study found that plasma proteins play a crucial role in maintaining brain delivery of lipophilic agents.
A new mathematical model sheds light on how the brain processes different cues during decision making, potentially improving treatment for neurological disorders like Alzheimer's. The latent circuit model proposes a 'low-dimensional' mechanism that explains decision-making in large neural networks.
Researchers at UC3M developed a new soft joint model that enables versatility of movement, adaptability, and safety in robots. The asymmetrical triangular structure allows for greater bending angles with less force, providing operational protection and increased safety in human-robot interactions.
A mathematical modeling study suggests that removing fallopian tubes during other abdominal surgeries can lower ovarian cancer incidence by five percent. The approach could also reduce total healthcare costs in Germany, with estimated annual savings of over €10 million.
A new study projects global sea-level rise between 0.5 and 1.9 meters by 2100 under a high-emissions scenario, with the very likely range being 90% probability for the event to occur. The fusion approach combines strengths of existing models with expert opinions, offering a clearer picture of future sea-level rise.
A new study led by University of Oxford suggests that plants are more likely to be eavesdroppers than altruists when tapping into underground networks. The study found that it is unlikely that plants would evolve to warn other plants of impending attacks, instead finding that plants may signal dishonestly to harm their neighbors.
Researchers at UMass Amherst developed a model that quantifies the impacts of social factors on HIV spread, finding that addressing barriers to treatment and care can reduce national HIV incidence by 29%. The study suggests that investing in prevention and social programs could be more cost-effective than treatment alone.
A new mathematical model offers a more realistic representation of how conformist and anti-conformist biases shape cultural traits through a population. The study finds that populations rarely converge to a single trait, and even small variations in individual behavior result in persistent diversity.
DNNs have an inbuilt 'Occam's razor,' favouring simpler solutions that fit training data. This bias helps them generalize well on simple patterns but may struggle with complex data, aligning with real-world data characteristics.
A pioneering new mathematical model developed by Oxford researchers could help assess the risks posed by AI and protect people's privacy. The method provides a robust scientific framework for evaluating identification techniques, including browser fingerprinting.
A series of small earthquakes in Surrey in 2018 and 2019 may have been triggered by oil extraction from a nearby well, according to a new study. The research used mathematical modeling to predict the frequency of earthquakes based on oil extraction timing and volume, finding a rough match with observed seismic activity.
The study reveals that directional connections propagate signals in a downstream flow, leading to more complex activity patterns. Mathematical models also suggest that modularity and connectivity interact to foster dynamical complexity.
A team of physicists and astronomers found that the Universe is expanding in a more varied way than previously thought, making dark energy unnecessary. The new evidence supports the timescape model of cosmic expansion, which attributes differences in stretching light to calibration issues rather than dark energy.
Researchers create SciAgents framework to autonomously generate and evaluate promising research hypotheses in biologically inspired materials. The framework uses graph reasoning methods to organize relationships between scientific concepts, mimicking biological systems.
Roman Krzysztofowicz, a professor of systems engineering at the University of Virginia, has written a new book that combines his decades-long research on probabilistic forecasts and optimal decisions. His work builds on his early studies in hydrology and computer programming, which laid the foundation for his later studies in decision ...
Researchers created an advanced computational model to optimize maternal vaccine design and protect high-risk populations. The model helps reveal which antibodies can pass through effectively and when, enabling the development of safer, more effective vaccines.
Mathematicians at University of Leicester applied statistical mechanics to detect human-made and natural causes of climate change, enabling early warnings of potential disasters. The theory provides a more advanced understanding of climate mechanisms driving change.
Dana-Farber Cancer Institute researchers present promising results from two studies on systemic mastocytosis: a novel drug, bezuclastinib, shows early efficacy in treating advanced SM, while a new predictive tool distinguishes between life-threatening and less aggressive forms of the disease with high accuracy