Articles tagged with Mathematical Modeling
Researchers found that older adults with multiple chronic conditions are less alike, raising questions about one-size-fits-all clinical recommendations. The study suggests basing guidelines on each person's unique multimorbidity rather than chronological age alone.
Researchers have compiled ten fundamental mechanisms governing the development of pandemics, highlighting the importance of understanding biological, mathematical, and social factors. These mechanisms can help improve preparedness and response to future pandemics by identifying key drivers of outbreak dynamics.
Researchers developed a model to optimize countermeasures while considering containment costs, identifying a clear threshold for optimal control. The study found that measures become necessary only when the disease reaches a certain severity, and that vaccination campaigns can help reduce transmission rates.
Researchers at the University of São Paulo have developed an algorithm for optimal pruning using LiDAR technology, which creates a detailed 3D model of tree architecture. By simulating wind forces on these models, they can identify vulnerable branches and recommend precise cuts to improve tree stability.
A team of researchers at North Carolina State University has created a novel approach to optimize vaccine distribution by combining machine learning with column generation. This method accelerates run-time for the optimization model by 79.1% while maintaining high-quality solutions.
The study reveals that the amount of available resources determines whether an organism relies on its memory or makes decisions based on current sensory input. Memory becomes most useful when sensory information is moderately uncertain, providing a significant improvement in performance.
Researchers developed a mathematical model to reconstruct COVID-19 spread in Dutch schools, showing that targeted closures can reduce hospital admissions. The study highlights the value of mathematical models for informing public health decisions during outbreaks.
USC researchers have been selected for the U.S. Department of Energy's Genesis Mission to harness artificial intelligence for scientific discovery and innovation. Two projects led by USC will explore ways to develop faster and more energy-efficient computing hardware and better understand the natural concentration of critical minerals.
Researchers create collapsible scissored surfaces based on networks of interconnected scissor mechanisms that can transform into curved surfaces. The new approach completes a trilogy of metamaterial design principles: origami (folds), kirigami (cuts), and pantograph lattices (linkages).
USC is leading a national research team developing AI to predict turbulence, a challenge in physics and engineering that affects technologies daily. The approach could make scientific simulations faster and more accurate, enabling researchers to tackle complex problems.
A study suggests that decentralized strategies of decision making are at least as good as centrally coordinated ones, especially in situations where a central coordinator's loss leaves the group vulnerable. The model found that leaderless groups can be more resilient by having multiple pathways for communication.
A new study reveals that cooperation does not require close family ties or reputation, but rather opponent-specific responses, leading to the emergence of cooperative behavior. This finding challenges conventional evolutionary theory and has implications for the design of more collaborative artificial intelligence systems.
A groundbreaking study reveals the 1789 smallpox outbreak had a devastating demographic impact on Indigenous Australians, with estimates suggesting up to 220,000 deaths. The model confirms the epidemic originated in Sydney Harbour with the First Fleet, highlighting the catastrophic consequences of colonial invasion.
Researchers developed a unified theoretical framework for ultrasound wave propagation and energy dissipation in porous rock formations. The study identifies three distinct longitudinal-wave types with different physical origins, providing a basis for understanding and predicting ultrasonic wave behavior in multiphase porous media.
Klick Labs is launching a series of clinical studies with Mayo Clinic exploring the use of novel vocal biomarkers in connection with Type 2 diabetes, hypertension, ovulation, and blood glucose. The research collaboration aims to leverage the voice's hidden properties to flag critical health issues and enhance patient care.
Old Dominion University has launched a National Security Institute to accelerate research and technology solutions for pressing national security challenges. The institute will bring together researchers' strengths in AI, autonomy, and coastal systems to deliver innovative solutions.
Researchers used the James Webb Space Telescope to measure how star light absorption changes as WASP-121 b rotates, probing its atmosphere longitude by longitude. The data indicate that hot winds heat the evening terminator region, causing it to absorb more stellar radiation and expand.
Researchers developed a mathematical formula to estimate microplastic mass and size concentrations from limited data, enabling more efficient surveys. The new approach allows for the estimation of small microplastics often overlooked in field surveys, which can help track pollution sources and trends.
Researchers clarify microscopic origin of charge noise in silicon spin qubits, attributing it to electronic transitions between conduction band and trap states. Higher temperatures improve gate fidelity by reducing switching rates and transition times.
A Dartmouth study maps the interplay of personal choice and social networks contributing to the US being one of the world's most heavily armed countries. The researchers describe how individual incentives can lead to overarming, a phenomenon where collective costs outweigh individual benefits of firearm ownership.
A comprehensive review of breast cancer risk models in women with a family history found that none are highly accurate at identifying which women will develop the disease. The BOADICEA model showed balanced performance, while others had significant limitations, emphasizing the need for continued improvement.
Researchers found that people who are less precise in their decision-making can outperform those who are more rational in certain social situations. This is because 'sloppy' decisions can help individuals avoid the pitfalls of highly sensitive learners, who prioritize short-term gains over long-term benefits. In contrast, in other situ...
Researchers developed a new model showing that supply chain disruptions exacerbate systemic risk in the banking sector. The model reveals that supply chain contagion can amplify losses on the interbank market by 70%, posing a major threat to financial stability.
New research from North Carolina State University predicts data center power demand will increase by up to 57% by 2030, leading to higher electricity costs and CO2 emissions. The study finds that regional price increases will vary depending on where new data centers are built.
Researchers derive exact formulae to show that rotating Kaleidocycles can always be built from six or more hinged tetrahedra. The study provides a firm mathematical basis for understanding the famous moving origami mechanism.
A team of researchers at Bielefeld University has developed a precise mathematical approach to plotting routes through space and time. The new method could help make space missions more efficient and also improve transportation systems on Earth.
A new handbook produced jointly by Chalmers University of Technology and the University of Gothenburg aims to improve decision-making and preparedness for future pandemics. The handbook provides practical guidance on how mathematical models can be used to inform decision-making, particularly in times of crisis.
Terrence Sejnowski receives Scientific Breakthrough Award for his foundational development of Boltzmann machines, providing the architectural bedrock for deep learning and generative AI. His work has had a profound impact on modern artificial intelligence and tools like ChatGPT.
A mathematical model identifies universal patterns in competitive systems, revealing an optimal 'sweet spot' where excellence and opportunity coexist. The study found that high-performing systems strike a delicate balance between demand and opportunity.
A new machine-learning method detects sudden changes in fluid behavior, improving simulation capabilities for everyday applications like weather prediction and nuclear reactor safety. This enables faster design testing, real-time adjustments, and reduced computational burden.
A new study by the University of Manchester has developed a way to measure the impact of urban traffic on city temperatures, revealing that everyday vehicle use can raise temperatures in cities. The researchers found that traffic heat increases simulated air temperatures by around 0.16°C during summer and 0.35°C in winter.
Scientists at the University of Manchester discovered a rare mathematical process underlying the formation of corrugations in soda cans. The sequence of buckles follows homoclinic snaking, a phenomenon where bumps or ripples appear one by one in a precise order.
Researchers at Dartmouth College developed a mathematical framework to map students' conceptual knowledge from short multiple-choice quizzes, revealing peaks of mastery and valleys of struggle. The technique could enable personalized learning, AI tutoring systems, and more efficient feedback.
Researchers propose a strategy that encourages individuals to adopt a neutral stance, allowing groups to become more responsive, decisions to become easier to reach, and shifts in consensus to happen smoothly. By doing so, neutrality creates valuable breathing space for reassessment, making it easier for a group to change its mind when...
A study from Michigan State University reveals that extreme weather can actually strengthen certain ecosystems, leading to increased productivity and resilience. The researchers found that phytoplankton species, which are crucial for removing carbon dioxide from the air, thrive when temperature fluctuations increase.
Researchers discovered a simple strategy for snakes to stand upright without limbs, concentrating bending and muscle activity into a short boundary layer near their base. This approach reduces energy required while maintaining balance, offering design principles for soft robots and medical devices.
Researchers compared anime illustrations with actual bamboo, finding that the proportions of the muzzle differ significantly from natural patterns. The study highlights the importance of accuracy in scientific representation and suggests potential educational applications.
The peer review process is facing a crisis due to an increasing number of manuscript submissions and a decline in willing peer reviewers. Researchers propose potential interventions to address this issue, including selecting high-quality reviewing and using machine learning to support editors. This could help maintain the credibility o...
Researchers used mathematical modeling to find that even people with minimal concern for others would choose to self-isolate when sick, suppressing diseases in the long-term. The study suggests that only a small amount of altruism is needed to achieve indefinite suppression as an alternative to herd immunity.
Four NYU faculty members have been awarded Sloan Research Fellowships for their groundbreaking work in brain injury, organic chemistry, computing, and software. Since 1955, 102 NYU faculty members have been selected as recipients, including this year's 126 fellows.
Researchers from The University of Osaka developed a novel device to harness wave power, achieving high energy absorption efficiency across broadband frequencies. By tuning gyroscopic parameters, the device can maximize performance, providing a roadmap for developing adaptable and efficient wave energy converters.
Researchers at the University of Arkansas developed an AI diagnostic tool to detect masked hypertension, a condition where people have high blood pressure but normal readings during exams. The tool uses machine learning and health indicators to predict masked hypertension with accuracy, potentially saving lives and improving patient care.
Researchers developed a new framework called SOLVE to overcome data challenges in precision cancer treatment. By jointly modeling known and unknown factors, SOLVE provides a robust tool for biomarker discovery and investigating tumor responses.
Researchers created a computational model that combines physiological signals, sensory input, and word information to construct human emotions. The model achieved an agreement rate of about 75% when compared to participants' self-reported emotional evaluations.
A UCalgary researcher has created an AI-based early detection system for river-borne pathogens, including whirling disease in trout and salmon. The model uses environmental variables like air temperature to predict pathogen distribution with impressive accuracy, even with limited data.
Researchers develop ddHodge, a geometry-preserving method that accurately reconstructs cell state dynamics. The technique reveals repeating processes like the cell cycle and identifies critical biological moments in embryonic development, tissue regeneration, and cancer progression.
A team of researchers from the Woods Hole Oceanographic Institution developed a theory for how microplastic particles accumulate in ocean eddies. They found that particles tend to accumulate in tubelike structures within circular currents, forming 'attractors' that resemble twisted, closed loops.
Researchers at Huazhong University of Science and Technology have implemented the first complete public-key encryption system at the physical optical layer. The innovation lies in integrating partially coherent light and reciprocity principles on a single photonic chip to conceal information within random optical fields.
A study found that viral interactions inside cells influence antiviral resistance outcomes, while a less potent drug may ironically improve its future utility by promoting social interactions in viruses. The researchers suggest a trade-off between hitting the virus hard and allowing resistance to rise.
A new study found the Rio Grande basin is severely depleted, with only half of used water being replenished by natural processes. The primary cause of overconsumption is irrigated agriculture, particularly cattle-feed crops like alfalfa and grass hay.
A new study shows that even small amounts of antibiotics in the environment can significantly accelerate the spread of antibiotic resistance genes among bacteria. The research found that low concentrations of antibiotics can stabilize existing resistance and promote the development of new resistance traits.
A new unified mathematical description model for coastal tipping points has been introduced, addressing escalating risks in coastal zones. The model classifies tipping points into six types, including bifurcation-driven, noise-driven, and shock-driven, highlighting the need for integrated strategies to mitigate regime shifts.
Researchers at OIST develop world-class 'hurricane-in-a-lab' setup to study turbulent Taylor-Couette flows. By re-examining Kolmogorov's framework, they find that the power law predicts universal behavior across all small-scale flows, resolving a long-standing inconsistency.
The Lehigh University team created a computational model to predict the hemodynamic response of patients with AFib, helping tailor neurostimulation dosages. The model validated against clinical data and predicted accurate effects on blood pressure, heart rate, and stroke volume.
EPFL researchers have discovered a room-temperature version of the Leidenfrost effect, where oil droplets can bounce for up to five minutes on a vibrating solid surface. The phenomenon is driven by the droplet's own deformations, allowing it to perpetually bounce indefinitely.
A new mathematical framework, STIV, can predict larger-scale effects like proteins unfolding and crystals forming without costly simulations or experiments. The framework solves a 40-year-old problem in phase-field modeling, allowing for the design of smarter medicines and materials.
A new project aims to develop a computationally efficient model that accurately predicts how additive manufacturing process parameters influence the solidification microstructure of binary alloy solidification. This will enable optimization of additively manufactured parts with confidence in critical industries.
Professor Dan M. Frangopol, Lehigh University's inaugural Fazlur R. Khan Endowed Chair, was recognized for his work on life-cycle civil engineering at the 21st International Probabilistic Workshop in Germany. He is widely credited with establishing this field and has authored over 500 peer-reviewed journal articles.
Researchers from the Institute of Industrial Science, The University of Tokyo, have developed a mathematical theory that can be used to design optimization strategies for dynamical networks, such as those comprising living organisms. They found that tools from information theory provided a way to simplify nonlinear optimization problem...
Researchers at the University of Missouri found that using blockchain to track ingredients through the supply chain reduces consumer uncertainty about food safety and increases willingness to pay premium prices. The technology also provides clear information about the source of ingredients, boosting trust in sustainable foods.