Articles tagged with Mathematical Modeling
Researchers created a functioning 3D-printed ukulele and compared its sound quality to a standard wooden instrument using acoustics. They found that the 3D-printed ukulele produced lower A-weighted sound pressure and exhibited different timbre and frequency characteristics.
A Yale-led group developed a new mathematical model to predict acute kidney injury (AKI) risk in patients undergoing percutaneous coronary intervention. The model accounts for individual differences and complex associations between contrast levels and AKI risk, providing more accurate estimates.
A mathematical model has been developed to predict how invasive species spread in rivers and how to control their movement using optimal water flow rates. The study, published in Mathematics, uses a partial differential equation model to illustrate how adjusting the water flow rate can prevent invasive populations from expanding upstream.
A team of researchers at New York University's Courant Institute of Mathematical Sciences found that fish swimming in orderly groups or formations spend less energy and move faster than when swimming alone. The best arrangement, diamond-shaped lattices, yielded the greatest speeds and largest energy savings, confirming a long-held belief.
Ari Deibert Palczewski, a staff scientist at Jefferson Lab, has been awarded a DOE Early Career Research Program grant to develop a theoretical model of accelerator preparation. He aims to build on previous discoveries about doping niobium with nitrogen and create a mathematical model of the process.
A new study by researchers at the University of Waterloo highlights the importance of mathematical modelling in tackling disease outbreaks. The study concludes that combining data from multiple medical and public health sources can provide more informative insights for public health planners, enabling effective intervention strategies.
A team of researchers from UMass Amherst created a mathematical model to predict the degradation of vitamins in spaceflight food over time. The model enables NASA to accurately schedule resupplying trips and provide astronauts with essential nutrients, particularly thiamine, which degrades rapidly in certain foods like beef.
Researchers at Champalimaud Centre for the Unknown discover a new psychophysical rule, Time-Intensity Equivalence in Discrimination (TIED), which links decision times to sound intensity. TIED is more stringent than Weber's Law, describing behavior with mathematical precision.
Researchers developed a new quantum-mechanical model to measure momentum of particles using a classical concept: time-of-flight. They achieved precise calculations by estimating probabilistic positions and distances between pointers coupled to moving wave packets.
Researchers at The City College of New York used a mathematical model to study how the brain transitions from consciousness to unconscious behavior. They found that the subliminal state is the most robust part of the conscious network, indicating that it represents the core of the brain's processing system.
Researchers at Hokkaido University discovered that five-armed green brittle stars use a pumping movement pattern to coordinate their movements. A mathematical model suggests that internal fluid flow can achieve this coordination without neuronal activity.
A computational model simulates how pain is transmitted from a nerve to the spinal cord's dorsal horn, reproducing experimental results on pain sensitivity. The model suggests a potential mechanism for neuropathic pain's flipped sensitivity rhythm: a change from inhibition to excitation in synaptic connections between nerve cells.
A mathematical modeling study reveals that photosensitivity and PER2 level affect the efficacy of a clock-modulating drug, enabling precision medicine for circadian disruption. The researchers identified adaptive chronotherapeutics to identify precise dosing regimens that can restore normal circadian phase under different conditions.
The Russian Science Foundation has granted funding to 14 young scientists and six scientific groups at Ural Federal University, focusing on migration, demographic modeling, and nanomaterials. Researchers aim to develop a super-prolonged medication delivery system using hybrid organic-inorganic materials.
Researchers developed a system of physics equations to model how water spills out over an earth dike, causing it to break and overflow. The new model takes into account the deformation of the dike's bed while water erodes it, providing more accurate predictions and improving flood safety.
A new mathematical model predicts people's card-picking choices in the Iowa Gambling Task with greater accuracy than previous models. The model reveals that sequential exploration behaviors decline with age, suggesting a shift in balance between drive to explore and exploit.
A new mathematical model, EDC2, explains the peculiar 'orixate' leaf arrangement pattern of a Japanese plant, suggesting that older leaves have stronger inhibitory signals. The findings support the accuracy of the formula and shed light on the genetic and cellular machinery behind plant development.
A mathematical model of fresh water lenses was developed to understand the interaction between physical factors and water storage, circulation, and resilience. The research has practical applications in managing water resources around the world, particularly in arid deserts.
A University of Idaho study reveals that reproducing results doesn't necessarily mean discovering the truth, highlighting the need for a better understanding of scientific processes. The research found that factors like community diversity and experiment complexity can impact the speed of discovery.
Researchers used 3D modeling to understand nutrient exchange in the human placenta, a process critical for fetal growth. The study found that terminal villi geometry determines solute exchange capacity between mother and fetus.
Researchers developed a mathematical model to standardize the results of a ballistocardiogram, allowing for tracking of health changes and potential early detection of cardiovascular diseases. The model can capture information on elasticity of arteries, contractility of heart ventricles, and viscoelasticity of blood vessels.
A mathematical model shows that sacrificing a few offspring can lead to increased total offspring survival, especially in overcrowded environments. This suggests that filial cannibalism and offspring abandonment might be considered forms of parental care.
Researchers at Virginia Tech use drones and AI to complement human searchers, analyzing historical data from over 50,000 lost person scenarios. The system aims to provide large-scale data for better decision-making, addressing niche problems in the search process.
Researchers create model to predict faecal bacteria spread in summer, highlighting hydrological connectivity's crucial role. The model captures actual distribution of bacteria but needs adaptation for winter months due to temperature and soil conditions.
A new study by Iowa State University researchers suggests that requiring landlords to disclose recent bedbug infestations can lead to a reduction in infestations and lower costs for both landlords and tenants. This policy can create long-term savings for landlords and make life better for people affected by these pests.
A mathematical model estimates chlamydia's R0 value, indicating the disease's potential spread. The multi-group SIR model with age structure yields an R0 estimate between 1.0148 and 1.0535 for Japan's outbreak.
A new mathematical model describes how ion adsorption affects biological membranes' electrical properties at different pH levels. The model reveals that calcium ions have a greater ability to adsorb than barium ions, with hydroxide-containing ions being more readily absorbed.
Researchers have successfully constructed a three-dimensional human epidermis based on predictions made by their mathematical model of epidermal homeostasis. The epidermal equivalent exhibits excellent barrier functionality and thickness, providing a promising new tool for basic research and drug development.
Researchers from Osaka University develop a mathematical model based on frog choruses to design efficient wireless sensor networks. The study finds that frogs' acoustic teachings can be adapted for technological benefit by alternating data transmission and regulating energy consumption.
Researchers at the University of Illinois gained control over soft-molecule synthesis, enabling them to probe how shape, size, and composition influence function in soft materials. This breakthrough could lead to advances in virology, drug delivery development, and new material creation.
Researchers at Newcastle University have developed a way to model disease progression and predict the tipping point of a disease. The models provide early warning indicators that an epidemic is imminent and action needs to be taken.
A new mathematical model developed by NYU Tandon researchers takes into account the influence of bursty social interactions on disease spread. The model's discovery could improve predictive models and provide a more nuanced understanding of how diseases spread in globally connected populations.
A new mathematical model, inspired by age-dependent population models, analyzes urban burglary patterns and identifies key factors influencing repeat victimization. The model takes into account a burglar's age and a house's susceptibility to robbery based on its age, providing a flexible framework for prevention strategies.
Research reveals genes that benefit one sex but harm the other can lead to poorer health in women after menopause. Genes that improve late-life male fitness accumulate even if they harm female fitness.
Researchers developed a mathematical model showing that two types of cellular asymmetry govern the shaping of cells into sheets and tubes. Altering one polarity can simulate diverse shapes, with initial cell arrangement and external boundaries influencing outcomes.
A mathematical model revealed that spotted hyenas take over a decade to recover from the CDV epidemic due to their slow reproduction rate. The study emphasizes the importance of age and social status in disease spread, with high-ranking females playing a crucial role in population recovery.
A study based on 27 years of data from Mana Pools National Park suggests that temperature increases have caused significant declines in local tsetse fly populations. This could lead to reduced transmission of trypanosome pathogens causing sleeping sickness, but may also make other areas more suitable for the flies.
UCSB researchers propose a new method for estimating the number of people in a room based on WiFi signal strength measurements. The technique, which uses received signal power to estimate occupant numbers, has shown high accuracy in experiments with up to 20 people and various wall properties.
Researchers created a model of hybrid system with two unreliable servers, finding that heterogeneity improves data transmission speed and reliability. The new reliability measurement is introduced as the distribution function of failures within a given operation period.
Researchers found that ant colonies with as few as six individuals experienced significant benefits from group living, including better-surviving babies and faster growth. The study suggests that increases in group size alone can create benefits for small colonies, challenging the idea that strong groups require strong leaders.
Researchers developed a systematic approach to spot stevia blends with outstanding taste performance, revealing glycoside mixes that deliver superior taste and significant sugar reduction. The study used extensive sensory studies and mathematical modeling techniques to identify synergistic blends that outperform pure glycosides.
The project aims to develop a new software system for spectral analysis of complex astrophysical objects. The team plans to use this software to model various objects such as single stars and double star systems with relativistic sources of hard radiation.
Scientists from Lobachevsky University have created a new algorithm to solve a series of global optimization problems, ensuring uniform convergence and efficient parallel processing. The research aimed to develop an approach that would accurately estimate solutions for all problems in the series simultaneously.
Researchers developed a robust model for general causality that identifies multiple causal connections without time-sequence data. The Multivariate Additive Noise Model (MANM) works on simulated real-world datasets, offering opportunities to analyze complex phenomena in areas like economics and disease outbreaks.
The University of Surrey has created a mathematical model that more accurately details how hepatitis C (HCV) infection develops and behaves. This new model could lead to improved treatment for the infection affecting 215,000 people in the UK.
The NSF-Simons Center for Mathematical and Statistical Analysis of Biology at Harvard University will focus on three fundamental questions: molecular networks, sophisticated structures, and organisms' adaptability. The center aims to integrate mathematical, statistical, and engineering approaches with biology.
A new mathematical model explains how small organisms like mantis shrimp and trap-jaw ants generate their powerful strikes with spring-loaded parts. This knowledge could help design more efficient robots, but it's unclear how these mechanisms work together for optimal performance.
A new model simulates the metabolic effects of exercise on an individual level, accounting for factors such as age, weight, and exercise type. This allows for better understanding of how exercise prevents diseases and improves health outcomes.
A new study reveals that the regeneration of phosphatidylinositol 4,5 bisphosphate (PIP2) in the fly eye is not as straightforward as previously thought. The researchers found that PIP2 cycle may be an 'open cycle' where breakdown products are siphoned away to other biochemical pathways.
A new study reveals that washing your hands is the most effective way to stop norovirus from spreading. The research model shows that person-to-person contact is the primary mode of transmission, making hand hygiene the key to prevention.
Researchers developed a mathematical model to explain how smartphones create 'portable funhouse mirrors' that alter facial features. Nasal distortion in selfies is found to be approximately 30% wider and 7% wider than standard portrait distances.
Researchers have discovered that Bayesian model selection tends to produce very high posterior probabilities for estimated evolutionary trees even if they are clearly wrong. This phenomenon is attributed to the non-nested nature of some models, which can lead to polarized behavior.
Undergraduate researchers from Yale-NUS College found that two mathematical models describing magnetoresistance are equivalent, providing a unified framework for understanding the phenomenon. The discovery has implications for future research and practical applications in electronic devices.
Scientists have identified a key role for protein MIRO1 in attaching peroxisomes to molecular motors, enabling movement and membrane dynamics in human cells. This discovery has provided new insights into the molecular mechanisms determining peroxisome number and shape.
Researchers design a mathematical model that predicts how mobility affects disease spread, finding that daily mobility reduces epidemics in large cities. The model suggests that recurring mobility helps even out population density, reducing the occurrence of epidemics.
The High-Performance Distributed Systems Lab at Kazan Federal University is developing mathematical models to unite various processes in oil reservoirs. These models aim to reduce costs and improve the efficiency of steam-assisted gravity drainage (SAGD) processes.
A mathematical model reveals that adding a pendulum between the container and carrying hand reduces sloshing by diminishing resonant frequency. The study shows that this design significantly reduces liquid movement, minimizing spills and burns.
A recent study by Hokkaido University found that the global risk of Madagascar's pneumonic plague epidemic is limited, with an estimated risk of less than 0.1 person per country between August and October. The basic reproduction number was calculated at 1.73, and case fatality risk was 5.5 percent.
Researchers from CNRS and INSA Strasbourg propose a new mechanism to explain lower-than-predicted vibrations near tracks as train speed increases. They show that a large part of energy is trapped in the heterogeneous ballast layer, leading to accelerated degradation.
Qiang Du, a leading applied mathematician at Columbia University, has been elected an AAAS Fellow for his distinguished work in applied and computational mathematics. His research focuses on theoretical analysis, numerical simulations, and mathematical modeling of various applications.