Articles tagged with Mathematical Modeling
Researchers describe traveling waves of acetylcholine in the striatum, revealing a new kind of neurochemical wave. The study proposes a mathematical mechanism by which simultaneous waves of acetylcholine and dopamine arise, maintaining balance in the brain's striatum.
Researchers from Austria and France join forces to unravel the secrets of gene regulation during mammalian development using stem cell-derived 3D culture models. The project aims to understand how key molecular events influence gene transcription and regulation over hours and days.
Researchers found that apoptotic cells induce apoptosis in neighboring hair follicle cells during the regression cycle. The study proposes a mathematical model of the hair follicle regression cycle, which suggests that the dermal papilla plays an essential role in initiating apoptosis.
A new study by Klick Labs reveals that AI technology can screen for Type 2 diabetes using six to 10 seconds of a person's voice, with high accuracy rates. The research used acoustic features to analyze recordings from over 18,000 participants and identified significant vocal variations between individuals with and without the condition.
Researchers created a 3D printed tumor model using bioprinting and synthetic chips to better understand complex cancers. The model simulates the surrounding environment, addressing limitations of traditional 2D models.
Researchers from Imperial College London and the University of Nottingham used machine learning to identify 'atomic shapes' that form basic pieces of geometry in higher dimensions. The findings reveal unexpected patterns in these shapes and demonstrate the potential for machine learning to accelerate mathematical discoveries.
Researchers studied how insects evolved two distinct flight strategies using robots and biophysicists. They found that asynchronous flight evolved together in a common ancestor, but some groups reverted back to synchronous flight.
A mathematical model suggests females infer attractiveness by watching peers' choices, learning to prefer rare traits that distinguish successful males. This learning process helps maintain variation in male traits and female preferences over time.
Researchers found that antigen testing significantly reduces the probability of cluster occurrence by identifying and isolating infected persons. However, it may not be effective against highly infectious mutant strains like Omicron, highlighting the need for booster vaccination campaigns and other infection control measures.
New plant cell walls exhibit significantly different mechanical properties compared to surrounding parental walls, enabling cells to alter their local shape and influence the growth of plant organs. Researchers have discovered that new cell walls in some plants are 1.5 times stiffer than the parental cell walls.
Researchers say current models fail to project oxygen dynamics in coastal ecosystems with high photosynthetic activity, such as seagrass meadows and coral reefs. Fluctuations in oxygen levels have been observed in systems like the Venice Lagoon and Red Sea coral reefs, where marine species adapt to changing conditions.
A new analysis of COVID-19 cases in Africa found that the rate of infection was likely much higher than reported in the initial stages. The researchers estimated that approximately 66% of all infections were asymptomatic, while about 5% were severe and 27% were mild.
Researchers at the University of Bristol studied the damping and natural frequency characteristics of a 150m tall building in London. The findings suggest that amplitude and time are the dominant factors affecting damping ratios, which can improve occupant comfort and reduce failure risk.
Researchers from the University of Oldenburg developed a new stochastic method to mitigate sudden swings in wind turbine power output. The study found that control systems are mainly responsible for short-term fluctuations and can be optimized to ensure more consistent energy output.
Researchers from University of Cambridge and Cornell University have developed a method to build machine learning models that can understand complex equations using far less training data. This breakthrough enables the construction of more time- and cost-efficient models for physics, engineering, and climate modeling applications.
The iHEART Simulator combines electromechanics, haemodynamics, and cardiac perfusion into a single platform for unprecedented biophysical accuracy. Researchers can study coronary artery disease, cardiac arrhythmias, and guide cardiac surgeons in delicate procedures.
Researchers have successfully solved a problem in graph theory that has attracted attention from within the field. The team's research involves packing coloring, which deals with labelling parts of a graph to comply with certain rules and avoid specific conflicts.
A University of Houston study found that most of Houston's ozone exceedance is due to transported pollutants from the central and northern US, while local photochemistry contributes to elevated ozone production. The research highlights the importance of reducing emissions at the Houston Ship Channel to mitigate future ozone pollution.
Researchers at the University of Melbourne have developed a new simulation model that can predict flooding during an ongoing disaster more quickly and accurately. The Low-Fidelity, Spatial Analysis and Gaussian Process Learning (LSG) model can produce predictions as accurate as advanced models but at speeds 1000 times faster.
Researchers at the University of Sydney and Max Planck Institute have developed new methods to describe synchronicity in complex systems. Their findings suggest that convergent walks on a network structure can lead to poor quality synchronisation.
Researchers have designed a hand-held model to demonstrate the concept of entropy for students, allowing them to confront the topic with new intuition. The model uses everyday materials to effectively demonstrate the quantitative nature of entropy, enabling students to reason correctly about its definition.
A new study suggests that synchronizing internal clocks can help alleviate jet lag and age-related problems. Researchers found that eating a larger meal in the morning can help overcome jet lag, while constant nighttime eating can lead to misalignment between internal clocks.
Tubificine worms can form entangled blobs that behave as a single organism to adapt to extreme environments and migrate more efficiently. Researchers successfully simulated collective movements of worm blobs in confined terrain, facilitating design of future swarm robotic systems.
A team of researchers at the University of Waterloo and Dalhousie University have developed a method for forecasting short-term disease progression using limited data. The Sparsity and Delay Embedding-based Forecasting model, or SPADE4, uses machine learning to predict epidemic progressions with high accuracy.
Augusta University researcher Arni S.R. Srinivasa Rao calls for updating the UN's traditional approach to measuring population replacement levels. He proposes a new formula that allows for more timely and accurate measurement, which is essential for understanding emerging global demographics.
MIT researchers developed a new algorithm that can execute complex maneuvers like loops and rolls for tailsitter aircraft, enabling agile trajectories with fast-changing accelerations. The algorithm uses differential flatness to ensure feasibility and planning in real-time.
Researchers found a lognormal distribution of neuron densities in mammalian brains, influencing network connectivity and potentially promoting efficient information transmission. The discovery is relevant for modeling the brain accurately and designing brain-inspired technology.
Researchers develop a new model predicting up to twice the original amount of subglacial water may be draining into the ocean, accelerating glacial melt and sea level rise. The theory uses satellite measurements and is a simple equation that can predict exfiltration in a fraction of a second on a laptop.
A study by Cornell University researchers found that current methods for measuring malaria parasite multiplication rates vastly overestimate the actual rates, which has significant implications for vaccine efficacy and understanding of drug resistance.
Researchers developed a new mathematical model to study circadian rhythm resilience and develop ways to improve it in individuals with weak internal clocks. Sustained disruptions can lead to disorders like diabetes and memory loss.
Researchers propose a hypothesis that astrocytes, non-neuronal cells in the brain, can perform core computation as transformers, providing insights into human brain function and machine learning success. This discovery could spark future neuroscience research and help explain transformer performance across complex tasks.
Researchers aim to create machine learning tools that can analyze and quantify shape information from images, enabling more accurate diagnoses and improving patient care. A new family of deep neural networks, called DSNNs, will be developed to tackle AI's blind spot in image analysis.
Researchers used a mathematical theory called the free energy principle to predict how real neural networks learn and organize themselves. The study successfully mimicked this process in rat embryo neurons grown in a culture dish, demonstrating the principle's guiding force behind biological neural network learning.
Researchers used Fibonacci's method to calculate the Moon's shape, finding that its poles are half a kilometre closer to its centre of mass than its equator. This information is crucial for applying GPS technology to the Moon.
GOBI overcomes model-free and model-based inference method limitations by introducing an easily testable condition for a general monotonic ODE model to reproduce time-series data. It successfully infers positive and negative regulations in various networks, distinguishing between direct and indirect causation.
A University of Ottawa study reveals that a diverse brain's ecosystem is key to maintaining normal function while responding to changes. This concept is inspired by Charles Darwin's idea that biodiversity is crucial for survival, suggesting cell-to-cell diversity helps prevent failures in brain circuits.
A mathematical model of UK cat populations suggests that neutering of owned cats affects not only their own population but also those of feral, stray, and shelter subpopulations. The model shows that lower rates of neutering of female owned cats lead to population booms within the other subpopulations, especially for stray cats.
Researchers developed a new method using Copula models to restore the true statistical model from data processed by Differential Privacy technology, even with many missing values. This enables highly accurate data analysis for pandemic mitigation and various societal applications.
A new study published in Wildlife Society Bulletin reveals that lead exposure from hunting ammunition is sickening and killing bald eagles, making them more susceptible to other dangers. The research, funded by Morris Animal Foundation, used innovative modeling tools to demonstrate the impact of lead poisoning on eagle populations.
A team of researchers from Kyoto University and international institutions has developed a mathematical solution to the temporal asymmetry of nonequilibrium disordered Ising networks. This breakthrough offers insights into the behavior of biological systems, machine learning, and AI tools.
Researchers from Florida State University have developed a model that explains how chemical gardens grow upward, form different shapes, and undergo changes in material properties. The study provides insights into the universality of formation patterns and validates observations of self-healing capabilities.
A game theory study from Dartmouth College reveals that being uncooperative can lead to a more equal outcome, even for the weaker party. By refusing to fully cooperate, players can resist extortion and ultimately achieve a better payoff.
Soil microbes are releasing more CO2 into the atmosphere due to global warming, with a potential increase of 40% by 2100 in polar regions. The emissions vary across climate zones, with cold polar regions being more sensitive to changes in soil moisture.
Researchers from UNIGE have developed a new method to test the validity of Einstein and Euler's theories on the accelerating Universe expansion and dark matter. The study uses time distortion as a never-before-used measure, allowing for differentiation between the two equations.
A new research project at University of Leicester will develop a digital 'twin' of the UK using artificial intelligence and big data to inform environmentally-friendly land use. The project aims to reduce emissions from cattle and sheep farming, which contribute around 10% of the UK's emissions.
Researchers developed a CRISPR/Cas9-based gene drive system targeting the Drosophila suzukii doublesex gene, resulting in female sterility and high transmission rates. Mathematical modeling predicts efficient population suppression with low release ratios.
A study by Dartmouth's Geisel School of Medicine found that Medicare fraud in home healthcare billing spread rapidly across U.S. regions between 2002 and 2009, driven by characteristics such as shared patients, high expenditures, and rapid growth in the number of home health agencies. The researchers developed a novel network analysis ...
Astrophysicists explain the Brightest of All Time (BOAT) cosmic explosion, revealing a narrow jet embedded within a wider gas outflow. The GRB's uniqueness was due to mixing between stellar material and the jet, masking characteristic signatures.
Scientists at Rice University found a natural 150-day cycle in the north-south oscillation of atmospheric pressure patterns, influencing hemispheric-scale precipitation and ocean surface wind stress. This discovery challenges conventional wisdom about atmospheric organization and has implications for climate modeling.
Researchers at Duke University have identified a climate feedback loop that could accelerate climate change. Monitoring mixotrophs, tiny organisms with dual metabolism modes, may allow us to anticipate the tipping point before it gets there. However, nutrient pollution poses a challenge to detecting early warning signals.
A new method of analysis flags impaired glucose homeostasis (IGH) in 20% of 'healthy' participants using continuous glucose monitors. This finding has significant implications for early detection and prevention of Type 2 diabetes, with the potential to impact millions worldwide.
Researchers at SMU measured Dallas's resilience using anonymous cell phone data before, during, and after the February 2021 North American winter storm. The study found that Dallas recovered almost immediately after the winter storm ended, indicating a great degree of resilience among its residents.
A Texas A&M team is studying the impact of cryptocurrency mining on the state's power grid, revealing a potential for demand flexibility during times of peak energy usage. The research suggests that when the grid is stressed due to heatwaves or other factors, cryptocurrency miners can shut down, providing a buffer against strain.
Researchers developed a mathematical model that accounts for variables such as helicopter resources and operational range to optimize air movement tasks. The model can perform planning functions in under an hour, saving commanders three to five hours compared to traditional methods.
Researchers found that a visual neighborhood model better predicts human crowd behavior than topological or metric models. The study used real and virtual crowds to test the response of participants to changed walking directions of neighbors.
A study published in Physics of Fluids reveals that uneven extraction in coffee brewing can result in weaker espresso and affect its taste. The researchers found that a positive feedback loop between flow and extraction leads to more bitter flavors, making it essential to understand the origin of uneven extraction.
A new study developed a mathematical innovation model grounded in psychology to predict adoption trends for new products. The model divides people into four categories: innovator, early adopter, majority, and laggard, and suggests that each group looks for specific properties of adoption trends to inform their purchasing decisions.
Researchers demonstrate probabilistic computing's capabilities by simulating networks of stochastic nanodevices to solve specific NP problems. The simulations agree with theoretical solutions, indicating the potential for scaling up this approach.
Researchers combine theory and observation to understand damselfly responses to warming temperatures, discovering a more realistic predator-prey simulation model. This work provides groundwork for understanding how other species will adapt to a warmer world, particularly species like mosquitoes.
A team of scientists created a mathematical model that accurately describes microstructures by integrating data from highly magnified images taken during experiments. The findings provide insight into how microstructures change at high temperatures and have implications for the development of new materials.