Articles tagged with Mathematical Modeling
Researchers introduce a new mathematical model tailored for SOFCs using direct internal reforming of ethanol, validated against experimental data. The study reveals how operating conditions influence the reactions inside the SOFC, improving hydrogen yield and performance at increased current densities.
A landslide in remote Greenland caused a mega-tsunami that sloshed back and forth across a fjord for nine days, generating vibrations throughout the Earth. The study used mathematical models to recreate the event and demonstrate how the sloshing of water would have continued, matching global seismic recordings.
A novel network computer model, DiWANN, allows for efficient searches of cancer genetic data, identifying co-occurring mutations and similarities among DNA sequence elements across several types of cancer. The model provides a scalable solution to prioritize possible treatment targets.
Researchers at Klick Labs developed an AI technique using vocal biomarkers to predict chronic high blood pressure with up to 84% accuracy. The study used machine learning to analyze hundreds of indiscernible vocal biomarkers, including pitch variability and speech energy distribution patterns.
Researchers have developed a novel approach using deep learning to accelerate the solution of Navier-Stokes equations, a set of classical equations that describe fluid dynamics. The team's method achieved inference latencies of just 7 milliseconds per input, outperforming traditional finite difference methods.
A new study published in Scientific Reports confirms a linear relationship between blood glucose levels and voice fundamental frequency, suggesting potential for voice-based glucose monitoring. Researchers at Klick Labs used vocal biomarkers and AI to detect Type 2 diabetes with high accuracy.
A multi-university research team led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can accurately spot genetic markers of autism in brain images. The system uses generative computer modeling technique called transport-based morphometry, which reveals brain structure patterns that predict v...
The study utilizes near-infrared (NIR) spectroscopy and machine learning to provide quick, accurate, and cost-effective product analysis. The researchers created a global model for corn kernel analysis, which can predict moisture and protein content with high accuracy across different locations.
Roman Gaydukov developed a method to model fluid flow around rotating disks with small surface irregularities, reducing computational time and cost. The approach can accurately predict fluid flow behavior in chemical reactions and has potential applications in industry.
Researchers used neural networks to solve fundamental equations in complex molecular systems, achieving promising results in simulating excited states of molecules. This breakthrough could lead to practical uses in materials science and chemical synthesis.
Engineers at MIT have developed a physics-based model that accurately represents airflow around rotors under extreme conditions. This new theory has the potential to improve rotor blade designs and optimize wind farm layouts for maximum power output and safety.
A team of researchers found that James Joyce's 'Finnegans Wake' exhibits a unique structure in its use of punctuation, with sentence lengths following an orderly curve. This symmetry is rare in nature and suggests a well-organized complex hierarchical structure.
A mathematical model shows that quicker decisions are influenced by initial bias, while slower decisions are less biased. The model predicts that with more information, decision makers are more likely to behave rationally.
A new study using mathematical models found that individuals with strong biases are more likely to make quick decisions, while those with smaller biases take longer to deliberate. The researchers suggest that understanding these patterns can help reveal the mathematics behind human decision-making in complex situations.
A new study by an international team, including MIT and CNRS, observed that similarities exist between the behavior of birds in flight and physical systems. The research suggests that the transition from disorder to coordination is not as different between particles and biological elements as previously thought.
A mathematical model developed by Chris Zobel and colleagues optimizes resource allocation in urban infrastructure while considering social vulnerabilities and projected sea level rise impacts. The approach prioritizes investments that enhance resilience and mitigate socio-economic disparities, enabling informed decision-making that ba...
Several common analogies used to model belief dynamics are examined for their conceptual mileage and baggage. The authors argue that while these analogies can provide useful concepts and methodologies, they have limitations and can lead to inaccurate inferences. To construct accurate models, researchers should consider multiple sources...
Researchers introduce ghost channels and cycles to understand transient behaviors in complex systems like climate processes or neuronal networks. This new approach challenges traditional concepts based on stable or unstable equilibria, potentially helping predict tipping cascades and ecosystem degradation.
A new mathematical method, validated with experimental animal data, provides fast, reliable, and minimally invasive way of determining how to treat critical blood pressure changes. The method accurately tracks cardiac output and systemic resistance, mirroring estimates from more invasive catheters in some cases.
A Virginia Tech researcher has developed a simulation model to examine how public health interventions affect fatalities among teens and young adults. The study found that a single measure is not effective in reducing alcohol-related crashes; instead, a combined strategy with three key tenets is necessary.
A study by the University of Córdoba found that allocating water based on quotas is more effective in managing water consumption in agriculture. This approach reduces economic losses and has a greater social benefit compared to imposing additional taxes on water.
New research from Texas McCombs suggests that small sellers have more options than previously thought. The study modeled the interactions between companies and consumers, considering factors like other channels, number of players, and substitutability. Sellers can choose to retain control over their prices or sell to Amazon, weighing t...
A team of Nordic researchers developed a predictive model to analyze the spread of infections across borders from spring 2020 to end of that year. The study revealed that cross-border closures were unlikely to have significant impact in specific scenarios, and restrictions may be more effective when targeting travelers.
A modeling study suggests that prosocial behaviors can arise and be maintained in large societies through various mechanisms, including influencers who recruit neighbors to cooperate. The strategy produced similar results as strong leadership that prevents detected defectors from defecting again.
Researchers show that individuals can influence others to make decisions in the best interest of society through social norms and positive feedback loops. This approach can be more effective than centralized models in achieving collective action.
A new mathematical model suggests that male mammals' absence of breastfeeding may be an evolutionary strategy to limit the spread of harmful microbes. The theory proposes that maternal-only lactation acts as a sieve, retaining beneficial microbes and preventing their transmission through mammary milk.
A team of engineers has created a new mathematical model to accurately simulate the effects of blood flow on the adhesion and retention of nanoparticle drug carriers. The model, developed by University of Illinois professors Arif Masud and Hyunjoon Kong, was tested in vitro and demonstrated promising results.
A new study introduces an adaptive therapy approach that could optimize PARP inhibitor maintenance therapy, offering a more personalized and potentially less toxic treatment option for patients. The research found that dose modulation based on tumor response was superior to skipping doses.
A new study found that animals use a wide range of strategies to accomplish tasks, many of which are just as effective as the optimal solution but require less brain power. The research provides a theoretical framework for understanding these 'good enough' strategies and their potential applications in animal behavior.
Researchers used a model of the heart and lung system to simulate how microgravity could affect space tourists with underlying health issues, such as heart conditions. The study found that entry into microgravity increases cardiac output in all individuals, but for heart failure patients, this increase is accompanied by a dangerous ris...
Scientists at IISc have found a new series representation for pi that combines specific parameters in a way that rapidly arrives at the exact value of pi. This discovery could lead to practical applications in physics and potentially solve long-standing challenges in representing pi as a combination of mathematical components.
A new study presents an evolutionary-biophysical model that sheds light on the evolution of collaborative non-self recognition self-incompatibility in plants. The model introduces promiscuous molecular interactions, enhancing our understanding of genetic diversity and evolution in hermaphroditic plants.
A team of researchers has made a breakthrough discovery about the mysterious condition known as 'happy hypoxia,' which affects some COVID-19 patients despite critically low blood-oxygen saturation. Elevated hemoglobin levels in certain patients' blood may play a key role in enabling the respiratory system to sustain low oxygen levels w...
A new study on learning has provided insights into the balance between habitual and goal-directed behaviors, with implications for AI development. The research suggests that a balance between these two types of behavior is necessary for efficient and adaptable decision-making in AI systems.
Researchers from MIT develop a new technique called Natural Language Embedded Programs (NLEPs) to enable large language models to solve numerical, analytical, and language-based tasks. NLEPs achieved greater than 90 percent accuracy on symbolic reasoning tasks and showed 30 percent greater accuracy than task-specific prompting methods.
Texas A&M University has received a $1.5 million grant from the Environmental Protection Agency to develop a technology capable of separating hydrofluorocarbons (HFCs) in two ways: designing and testing a separation technology, and incorporating machine learning-based data-driven decision frameworks for reverse logistics.
Sean McWilliams' team will study stellar-mass and massive binary inspirals, improving modeling accuracy for the Laser Interferometer Space Antenna (LISA). The project aims to enhance the instrument's science mission by making necessary dramatic improvements in modeling accuracy.
A new AI model developed by researchers at the University of Jyvåskilö can predict and respond to human emotions, improving user experience. The model simulates cognitive evaluation processes to assess emotional responses to events, enabling computers to preemptively predict and mitigate negative emotions.
A team of researchers from Japan have employed an innovative technique to directly observe the origin of FSDP and the atomic density fluctuations in silica (SiO2) glass. The study reveals alternating arrangements of chain-like columnar atomic configurations and interstitial tube-like voids.
Researchers introduce a new mathematical framework that analyzes self-organization in embryonic development. The framework, which uses information theory, predicts optimal parameters for the process and provides insight into how cells interact with each other. This discovery has implications for understanding complex biological processes.
A new study from Chalmers University of Technology shows that AI-controlled charging stations can offer personalized prices to electric vehicle users, minimizing both price and waiting time. However, the researchers highlight the importance of addressing ethical issues related to data exploitation by motorists.
Researchers Dr. Samson Zhou and Dr. David P. Woodruff aim to create secure algorithms for big data models using mathematical connections and cryptography ideas. They focus on streaming models, which process data in real-time, and address challenges such as randomness and different types of attacks.
Researchers identified a global climate indicator, Indian Ocean basin-wide index, that can improve predictions of dengue outbreaks several months in advance. This could facilitate efforts to tackle the rising infection threatening half the world's population.
Researchers develop LoCoHD algorithm to compare protein structures based on chemical information of atoms, enabling analysis of molecular machines and identifying critical amino acids. The method shows promise in predicting protein functions, including studying the internal motion of proteins like podocin.
Simulations suggest small shifts in international ideas can lead to significant changes in country politics. The study found that cross-border influence was a major factor shaping simulated US election outcomes and predicted increased voter turnout through the end of the century.
A team of scientists has discovered an ocean of liquid water beneath Pluto's surface, with a shell of nitrogen and water ice estimated to be 40-80 km thick. The density of the ocean is around 8% denser than seawater on Earth, allowing for minimal fractures in the ice above.
A new study suggests that the sun's magnetic field could arise from instabilities in the outermost layers of the sun, rather than deep within. This finding may enable scientists to better forecast solar activity and space weather.
Engineers developed a material that mimics human bone for orthopedic femur restoration, providing optimized support and protection from external forces. This innovative approach uses machine learning, optimization, and 3D printing to create a fully controllable computational framework.
Kyushu University researchers generalize fluid dynamics of volatile liquids using mathematical modeling and experimentation. Their findings can lead to more efficient product development in various liquid-based industries, including high-end electronics manufacturing and lab-on-a-chip disease diagnosis.
Researchers at Northwestern University used statistical physics to corroborate Austrian psychologist Fritz Heider's 1940s social balance theory, which states that enemies of an enemy are friends. The study successfully integrated both constraints of the theory, confirming it for the first time in real-life social networks.
A new computer algorithm developed by University of Oxford scientist Samar Khatiwala can drastically reduce the spin-up time of Earth System Models, enabling researchers to investigate subtle changes in model parameters and define uncertainty more accurately. This breakthrough could lead to better predictions of future climate change a...
A mathematical model developed by Alexandre Solon and Eric Bertin describes the movement of particles in situations similar to cars on a road or bacteria attracted to a nutrient source. The model identifies conditions that favor traffic jams, including high vehicle density and driver inertia.
Researchers have developed a theoretical equation to predict the average buckling strength of shells with geometric imperfections. The model, which considers shapes and distribution of imperfections, offers promise for creating lightweight and sustainable structures while ensuring structural reliability.
Researchers have trained interpretable deep learning models on genomic information to identify correlations between genetic variants and crop traits. The AI technology accurately predicts gene activity and pinpoints specific sequence variations that explain observed differences in gene activity.
Scientists have found a new way to create ordered states in quantum systems by increasing particle motility, leading to potential breakthroughs in quantum computing and magnetic memory. This discovery extends the concept of active matter to the quantum realm and has far-reaching implications for technology development.
A team of researchers from the University of Pennsylvania explored how Bayesian and abductive reasoning can be used to model social dynamics. They found that in some scenarios, simple guesswork can lead to more cooperation than complicated calculus, while in others it may result in less cooperation due to stricter judgment criteria.
A new study outlines the effects of temperature, humidity, and moisture content on molded fiber products' mechanical properties. The research provides mathematical models to describe these changes, helping improve MFP design and application.
A rapidly spreading virus is attacking cacao trees in Ghana, resulting in harvest losses of between 15-50%. Researchers have developed a new strategy to combat the spread of the disease using mathematical data to determine safe planting distances for vaccinated trees.
Researchers found that human-made noise reduces whales' ability to hear acoustic communication, generates an avoidance response, and lowers detection of environmental cues. This can lead to increased journey time or failure to arrive at destinations.
Researchers at University of Waterloo found that nasal-administered naloxone is more cost-effective than current intramuscular version, potentially reducing opioid-related deaths. The study suggests that publicly funding intranasal naloxone distribution across Canada could save additional lives.