Articles tagged with Mathematical Modeling
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.
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.
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 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.
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.
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 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.
The study, led by Professor Takashi Miura of Kyushu University, has discovered that interdigitated cell boundaries have a mathematically scaling pattern with self-similarity. The team used the Edwards-Wilkinson model to simulate and understand the molecular mechanism responsible for these dynamics.
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.
Researchers found that traditional handmade clay jars, called onggi, ferment kimchi faster and produce more beneficial bacteria due to their unique porous structure. The study highlights the connection between the earthenware's material properties and the fermentation process, providing new insights into ancient technology.
The Norwegian University of Science and Technology has been awarded a €2.5 million grant from the European Research Council to investigate how species can survive in a changing environment. The project aims to develop rules for preventing species extinction and studying adaptation to environmental changes.
A new mathematical model predicts turbulence and heat transport in fusion plasmas with high accuracy, approximately 1,500 times faster than conventional large-scale nonlinear calculations. This breakthrough accelerates fusion research and expands the range of applicability.
A team of researchers has discovered new laws governing fluid flow through experiments on drinking straws, defying previously known resistance laws. The findings have promise for improving fluid handling in medical and engineering applications.
ISB researchers constructed a biological body mass index that offers a more accurate representation of metabolic health. The team found that even with no weight loss, individuals can be getting healthier biologically through positive lifestyle changes.
Researchers developed a new approach to suturing based on the mechanics and spacing of a hitchhiker plant's attachment system, promising to balance forces across sutures and reduce failure rates in surgical procedures. The findings were published in Proceedings of the Royal Society A.
Researchers developed an economic-epidemiological model to assess the impact of no closures. The study found that California's unemployment rate would have been lower, but deaths and hospitalizations from COVID-19 would have increased significantly, exacerbating current inequities.
Researchers have developed a new sea ice model that can analyze the size and thickness of individual ice floes and their motion in greater detail. This allows for more precise predictions about their behavior, especially in areas where climate change has led to an increase in loose sea ice.
Tumour cells exhibit an innate randomness in their ability to respond to chemotherapy, which can lead to resistance. Researchers identified a marker for resistance and propose combining chemotherapy with drugs targeting this 'noise' to improve treatment outcomes.
A new machine learning model developed by NYU researchers can predict food crises up to 12 months in advance by analyzing news articles and their frequency. The model shows a high correlation between news coverage and on-the-ground occurrences of risk factors, indicating its potential as an early-warning system.
Researchers at the University of Bath developed a new theory that unifies conflicting viewpoints on lane formation, predicting curved and straight lanes in crowded spaces. The study reveals a new class of structures in daily life that may go unnoticed.
A new mathematical model has been developed to optimize treatment for prostate cancer, showing promising results in eliminating cancer cells. The model explores different therapeutic strategies, including single drugs and drug combinations, and suggests that alternating therapies could significantly improve cancer treatment.
Researchers at Cornell University developed a new model called swarmalators, which can simulate swarming behaviors and synchronized timing in microrobots. The model mimics diverse emergent phenomena, such as aggregation, dispersion, and vortices, and can be used for precision medicine and drone applications.
A team of researchers from Rensselaer Polytechnic Institute has developed a system to optimize TV ad scheduling, resulting in a 3-5% revenue increase for networks. The model combines mathematical programming and machine learning to assign ads to specific breaks and positions.
A new study by Dartmouth College researchers finds that sanctions on wealth managers would be more effective than asset seizure in crippling Russia's oligarchs. The research uses network science to map the connections between wealthy individuals and their financial experts, revealing a vulnerable network that can be disrupted with targ...
A University of Queensland-led research team is using an unusual caesium atom to search for dark matter particles. The team's work may also improve atomic theory calculations and technology, such as navigation systems.
Researchers have developed a new model of black hole collisions that reveals nonlinear effects in gravitational waves, allowing for more accurate modeling of the behavior. This breakthrough has significant implications for understanding black hole collisions observed by LIGO and testing Einstein's general theory of relativity.
A new mathematical model uses wastewater samples to predict COVID-19 cases five days in advance, detecting SARS-CoV-2 RNA with high sensitivity. The approach could help authorities tailor infection control policies when clinical surveillance is lacking.
The Heidelberg Laureate Forum Foundation offers journalist travel grants to cover the 10th HLF from September 24-29, 2023. Recipients of prestigious awards in mathematics and computer science will gather with young researchers for a week of interdisciplinary dialogue.
Researchers investigated the relationship between slow slip events and tectonic strain in Japan's Bungo Channel, Tokai, and Boso-Oki regions. They found that not all accumulated strain is released during SSEs, but rather builds up in shallower areas before a megathrust earthquake can occur.