Articles tagged with Mathematical Modeling
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 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.
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.
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.
A recent study by Crystal Lim found that obesity prevention programs combining nutrition and exercise components over an extended period had the most success in changing students' daily behaviors. Successful programs also included evidence-based strategies like goal setting, problem solving, and self-regulation techniques.
Researchers tested three common techniques to make algorithms fairer and found that one approach didn't reduce social norm bias at all. They proposed a new technique: a formula to directly measure social norm bias in an algorithm so it can be corrected. This bias can persist even after overt discrimination is removed.
Scientists at Stanford University and SLAC National Accelerator Laboratory have made progress toward building a novel quantum simulator. The device can simulate interactions between two quantum objects, paving the way to study complex systems and answer fundamental questions in physics.
A new mathematical model simulates how the body regulates potassium levels, shedding light on the relationship between kidneys and muscles. The study suggests that muscle-kidney cross-talk signal hypothesis is essential in maintaining healthy potassium homeostasis.
A UAB researcher discovered a new definition of Petri nets that reconciles two longstanding mathematical approaches, allowing for the reconciliation of geometric and algebraic semantics. This breakthrough has been used in epidemiological modeling, including COVID-19 research.
A team of researchers from FSU and Cleveland State University have developed a mathematical model that explains how bacteria communicate within larger ecosystems. The model can predict environmental responses from bacterial communities and is flexible for different applications.
Researchers at Aston University have created the world's first computer reconstruction of a virus, including its complete native genome. This breakthrough could lead to the development of targeted treatments to kill bacteria that are dangerous to humans, reducing the threat of antibiotic resistance.
Laboratory experiments show rapid antibiotic switches can prevent resistance, with collateral-sensitive drug pairs suitable for therapy. However, environmental conditions in patients differ from labs, and natural degradation affects treatment.
A study published in Journal of Managed Care & Specialty Pharmacy found that an individual's prior adherence behavior is a key predictor of future adherence. The research suggests interventions can move patients to adherence at any time, leading to better adherence in the future.
A new digital twin of laser-directed energy deposition repair technology has been developed to improve industrial sustainability. The system automatically determines optimum forming conditions, reducing metal powder waste and increasing the effectiveness of the repair process.
The São Paulo School of Advanced Science on Epidemic Preparedness will bring together researchers from various fields to discuss core tracks such as mathematical modeling, genomics, epidemiological surveillance, and public health policies. Participants will engage in simulated situation rooms and hands-on experience with leading faculty.
Researchers at Rensselaer Polytechnic Institute developed a model to predict cryptocurrency scams using Benford's Law and found that scam addresses deviated from the law. They also advocated for robust blockchain interoperability to provide stability in decentralized systems.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
A mathematical model predicts the long-term effectiveness of COVID-19 vaccine booster doses in various patient populations, including those with healthy immune systems and cancer patients. The model suggests that robust antibody-based responses can be achieved through booster doses, but may wane quickly in immunosuppressed individuals.
The CNIC study reveals two distinct mechanisms by which cells detect and respond to forces of varying strength, one mediated by caveolae and the other by newly discovered dolines. This finding has significant implications for understanding pathological processes such as atherosclerosis and neurodegenerative diseases.
A new mathematical model has found a clear trend towards mutualism in ecological interactions, with most relationships eventually leading to a mutually beneficial partnership. The researchers used adaptive dynamics and classical models of population dynamics to study the transitions between different ecological relationships.
Researchers from Brown and MIT developed a new framework that uses machine learning and sequential sampling to predict rare disasters like earthquakes and pandemics with less data. The framework, called DeepOnet, has been shown to outperform traditional modeling efforts in predicting scenarios, probabilities and timelines of rare events.