Articles tagged with Mathematical Modeling
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.
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 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.
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 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.
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.
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.
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 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.
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 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.
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.
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
A new study reveals that the arm-like structures of mammalian brain cells, known as axons, are actually pear-shaped and not cylindrical tubes. The research team used high-pressure freezing electron microscopy to visualize the axons' structure, showing that they have a bubbly, pearl-like shape.
The Polymathic AI team has released two massive datasets for training artificial intelligence models to find and exploit transferable knowledge between seemingly disparate fields. The datasets include data from dozens of sources, covering astrophysics, biology, acoustics, chemistry, fluid dynamics, and more.
Researchers have developed a mathematical model that provides strong evidence for the cosmic censorship conjecture in three dimensions, suggesting singularities inside black holes will always be hidden. The model has implications for quantum gravity and advances efforts to understand thermodynamic properties of black holes.
CNIO researchers have identified significant inaccuracies in widely used epigenetic clocks, which are now being refined by the team. The new epigenetic clock model provides more accurate measurements, reducing errors by up to 25 years for some tests.
A mathematical model reveals a critical threshold for anthropogenic CO2 emission, beyond which crop yield starts to decrease significantly. Developing temperature-tolerant crops is crucial in maintaining agricultural productivity and ensuring food security.
Researchers introduce a new tool called 'persistence images' that uncovers hidden biases in medical imaging data, advancing fairness in healthcare AI. The technology helps detect bias, filter out noise, and improve overall accuracy, leading to more reliable diagnoses and better patient outcomes.
Researchers have created an acoustic model of the Parasaurolophus' crest, a unique feature of the duck-billed dinosaur. The model replicates the sounds produced by the crest, providing insights into the animal's communication and social behavior.
Scientists have created a thermoacoustic engine that converts thermal energy into acoustic energy, which can be transformed into mechanical or electrical energy. The device has the potential to generate power ranging from tens to thousands of watts and could be used for camping, backpacking, and emergency situations.
Researchers developed a novel model predicting mood episodes using only sleep-wake pattern data from wearable devices. The study found daily changes in circadian rhythm are key predictors of mood episodes, offering new possibilities for tracking individual changes to prevent future episodes.
Researchers at Uppsala University developed a mathematical model to understand how seabird species coexist on isolated islands. The model shows that different species use distinct fishing zones, maximizing energy intake based on traits like wing length and diving depth.
A new study led by UNLV anthropologist Brian Villmoare models thousands of generations to understand why animals, including humans, prioritize short-term benefits over long-term returns. The research suggests that organisms choose a more distant reward only if it's substantially higher and has a high degree of reliability.
The study emphasizes the need for a coherent approach to understanding A.I. threats, recognizing the intricate interplay between technology and society. Experts propose involving laypeople and experts in risk assessment processes, as well as promoting social resilience to ensure better decision-making.
Researchers at Lehigh University are using advanced algorithms and cross-domain data to help cities predict human movement patterns, enabling better planning and preparedness for events and emergencies. The model will account for variations in data streams from different sources, such as cell towers, GPS, and financial transactions.
Healthy mice swing their tails actively to counterbalance tilts, producing significant angular momentum. This study provides a new experimental setup for assessing mouse balance and improves understanding of neurological mechanisms behind balance issues.
Rice bioengineers create a mathematical model that challenges long-held assumptions about IL-12's behavior in the body, suggesting repeated doses cause immune cells to hoard IL-12 before it reaches the bloodstream. The findings have significant implications for IL-12 therapy design and may lead to more effective dosing regimens.
A new study by University of Michigan researchers introduces a framework to compare and analyze competitive interactions across various fields, from sports to social hierarchies. The 'depth of competition' model reveals that human games and sports are surprisingly shallow, while animal competitions exhibit much deeper stratification.
Researchers at UNC-Chapel Hill have developed an innovative computer model of blood flow in the human heart that captures normal heart function and predicts responses to different levels of blood flow. The model has potential applications in medical device design, personalized therapy, and cardiac digital twins.
A team of MIT engineers has developed a new computational method for analyzing complex biological systems, including the immune system's response to tuberculosis vaccination. The approach uses probabilistic graphical networks to identify key interactions and mechanisms, shedding light on how vaccines induce immunity.
A mathematical model developed by researchers at Tokyo Metropolitan University predicts how the environment affects the life choices of salmon, revealing a complex impact on population evolution. The model correctly forecasts changes in migration patterns in response to environmental conditions, shedding light on eco-evolutionary respo...
A Cornell University research team found that strategically placing a mix of medium-speed and fast-charging stations in urban areas increases driver usage and improves investor profitability by 50-100%. The team used Bayesian optimization to analyze data from Atlanta, taking into account factors like traffic and road characteristics.
Researchers used a virtual cow game to study human movement and navigation, developing a model that can simulate human behavior and predict choices. The study found that humans make decisions based on angular distance and previous choices, and the developed model could accurately mimic these patterns.
Researchers developed a method to assess which patients with metastatic triple-negative breast cancer can benefit from immunotherapy. The tool uses predictive biomarkers and machine learning-based approaches to identify patients who are likely to respond to treatment.
Researchers used a classical computer and mathematical models to outperform a quantum computer on a task involving a two-dimensional quantum system of flipping magnets. The system displayed a behavior known as confinement, which had previously been seen only in one-dimensional systems.
A new study suggests that Betelgeuse's pulsing is due to an orbiting companion star known as the 'Betelbuddy'. The star acts like a snowplow, pushing light-blocking dust out of the way and making Betelgeuse appear brighter. Researchers used computer simulations to confirm this hypothesis, ruling out other possible causes.
Researchers at Newcastle University developed a novel approach using electromagnetic waves to solve partial differential equations, specifically the Helmholtz wave equation. The innovative structure, known as a metatronic network, effectively behaves like a grid of T-circuits and allows for control over PDE parameters.