Articles tagged with Mathematical Modeling
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.
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 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.
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...
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.
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 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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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...
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.
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 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.
Rice University engineers have demonstrated a way to control the optical properties of T centers, paving the way toward leveraging these point defects for building quantum nodes. By embedding a T center in a photonic integrated circuit, they increased the collection efficiency for single photon emission by two orders of magnitude.
A new study on comets suggests that Kuiper Belt Objects like Arrokoth may contain ancient ices from billions of years ago. Researchers found a domino effect where the object's interior gets colder, preserving volatile gases for billions of years.
New mathematical modelling reveals that the Atlantic meridional overturning circulation has a high degree of complexity, with switches between states potentially leading to major climate changes. The study warns against relying on early warning indicators, as minor transitions might escalate into more significant tipping points.
Researchers at Klick Labs developed an algorithm to detect deepfakes with 80% accuracy by analyzing speech pause patterns, offering a solution to the growing problem of AI-generated content. The study's findings suggest that vocal biomarkers can distinguish between real and fake voices, providing a novel approach to flagging deepfakes.
Researchers at Lehigh University found that low- to mid-level flooding events are the most vulnerable to cyber attacks, which can overwhelm the system and cause a flood downstream. The study developed a mathematical framework to identify vulnerabilities in stormwater systems, allowing municipalities to assess their risks.
Scientists from UC3M and Johns Hopkins University have developed a computational model that simulates the invasion process of cancer cells based on the characteristics of surrounding tissue and cell junctions. The model allows for predicting tumor evolution in patients by analyzing mechanical properties of the microenvironment.
A study discovers that traditional Chinese ice-ray lattice designs can provide unique stiffness and strength under asymmetric loads, offering an alternative to conventional gridshells. The research also explores the potential of integrating complex geometry into facade design and micro-scale material design.
A KAIST-Seoul National University Hospital research team has developed a computational workflow that predicts metabolites and metabolic pathways associated with somatic mutations in cancers. The workflow uses genome-scale metabolic models and mutation data to identify altered metabolic pathways that contribute to cancer progression.
Researchers found large individual differences in roundworm neural activity despite conserved neural circuits. Computer simulations including noise accurately model whole-brain activity, shedding light on neuronal connectivity and essential role of noise in brain function.
A team of researchers developed a time-optimal control method for autonomous ships, optimizing maneuvering performance in dynamic sea conditions. The new control system accounts for various forces affecting ship movement and can improve efficiency and safety, reducing shipping costs and carbon emissions.
A new study led by Worcester Polytechnic Institute aims to determine whether AI can help doctors predict which patients will benefit from mindfulness-based stress reduction in managing chronic lower back pain. The research uses machine learning and physiological data from fitness sensors to detect patterns that may not be apparent to d...
A Kyoto University research group developed RENGE, a computational model to estimate gene regulatory networks in multicellular organisms. The method measures time-series gene expression and uses the proprietary model to infer regulatory dynamics.
Researchers develop framework to assess relative value of rules and data in AI models, improving efficiency and accuracy in scientific problems. The framework optimizes model training by tweaking the influence of different rules, filtering out redundant ones, and identifying synergistic relationships between rules.
Researchers aim to address LVAD shortcomings, reducing blood damage and clotting risk through innovative designs and coatings. A novel flexible stented blood inlet and slippery hydrophilic coatings will be used to prevent flow stasis and clot formation.
Researchers found that stereotypes can significantly reduce cooperation by making individuals less likely to engage in positive behaviors if they believe their actions won't be recognized. This can lead to a decrease in overall cooperation. However, the use of individual-based reputations could potentially improve cooperative outcomes.
Researchers developed a mathematical model to optimize World-class 400m and 1500m running performances by considering variability of motor control, oxygen consumption, and energy expenditure. The study found that improving aerobic metabolism and maintaining optimal velocity are crucial for achieving top performance.
The new AI model uses a visual map to explain each diagnosis, helping doctors follow its line of reasoning and check for accuracy. The tool aims to catch diseases in their earliest stages, making it easier on doctors and patients alike.
A new study using a high-resolution global climate model found that cloud clustering causes more extreme rain in the tropics, leading to increased severity of precipitation events. The researchers also discovered that more extreme rain occurs at the cost of expansion of dry areas, further shifting towards extreme weather patterns.
Researchers have developed a method to decode mouse neural activity, enabling accurate determination of location and direction within an open environment. This breakthrough could inform the design of intelligent machines that navigate autonomously without GPS or satellite guidance.
Researchers at MSU and Carnegie Science have developed a model connecting microscopic plankton relationships to predictably affect food webs on an ecosystem level. This new model could deepen understanding of nature's laws and create opportunities in ecosystem management.