Articles tagged with Quantitative Modeling
Researchers at the University of Pennsylvania found that rewarding 'reformers' who improve the collective prediction regardless of their own personal accuracy leads to more accurate and diverse outcomes. This approach is more effective than rewarding 'niche experts' or 'experts', which can lead to a loss of diversity and accuracy.
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 study published in PLOS Neglected Tropical Diseases has shown that combining country-level information with individual-level variables can improve the identification of soil-transmitted helminth infections among migrant populations. Researchers found that country-level indicators are stronger predictors than individual-level variable...
A new design method, SPADE, evaluates UAV video surveillance system quality without real-world manipulations. It assesses the impact of image resolution on object detection performance., The SPADE method can be applied to various UAV systems and will aid in designing complex large-scale systems involving multiple UAVs.
Researchers at The University of Osaka develop AI-powered method to analyze urban vegetation color, structure, and seasonal changes using street view imagery. This allows city planners to enhance the 'feel-good' factor of urban green spaces throughout the year.
Researchers at Colorado State University have created a programmable plant circuit that can turn genes on and off, allowing farmers to time harvests and adapt to drought. The breakthrough could lead to automated genetic circuit design through machine learning, revolutionizing agriculture.
New research at UC Santa Barbara illuminates a path to superior electro-optic performance in AlScN alloys by adjusting atomic structure and composition. The study found that precisely oriented layer structures and strain tuning can yield significant enhancements in electro-optic properties, potentially surpassing those of lithium niobate.
A new study found that receiving a Michelin star can lead to negative effects, including increased bargaining problems with suppliers and employees. Restaurants may struggle to maintain key relationships and resources, ultimately leading to closures. Despite this, some firms perform fine post-Michelin star
A new mathematical theory offers insights into how heat travels through sea ice, which affects global climate predictions. The study provides a way to relate sea ice's thermal properties to its temperature and salt content, allowing for more accurate climate models.
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.
Researchers from Osaka University developed an AI algorithm called FINDE that discovers and preserves the underlying conservation laws of real-world dynamical systems, not just superficial dynamics. FINDE allows for more accurate computer simulations and can reveal additional information about a system's structure.
Researchers from Japan create a new model for estimating transepidermal water loss, providing a more realistic picture of skin water loss. The new method uses confocal laser microscopy and Raman spectroscopy to measure stratum corneum thickness and water content.
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 new model reveals that warmer Arctic Ocean evaporation transports moisture south, leading to increased snowfall in northern Eurasia. The study sheds light on the mechanism of this phenomenon and its impact on severe weather events.
The Critical Path Institute (C-Path) has established a public-private partnership with the FDA and NIH to advance treatments for rare neurodegenerative diseases. The partnership will leverage C-Path's expertise in data management, quantitative analytics, and regulatory science to accelerate medical product development.
Researchers developed a mathematical model to predict the efficiency of nanoparticle delivery into cells, particularly in stem cells. They found that nanoparticles become trapped in bubble-like vesicles, preventing them from reaching their targets.
A team of geologists successfully forecasted a Sierra Negra volcano eruption in June 2018 using a supercomputer-powered model. The model predicted an imminent eruption five months before it occurred, highlighting the power of high-performance computing in volcanic forecasting.
A collaborative paper by Wang Yicheng and colleagues finds that households reduce risky shares of assets when income risk doubles, with potential social welfare gains of 4% if policies stabilize income risk. The study also examines the effect of progressive income tax systems on financial portfolio choices.
A decision-support framework was developed by management science researchers to help clinicians make informed decisions about opioid prescribing. The framework incorporates multiple factors, including recovery time, pain intensity, and patient history, to provide a quantitative model of the prescribing process.
The collaboration aims to accelerate addressing unmet needs in the neonatal population by applying quantitative modeling, biomarkers, and regulatory science. Patients and families will benefit from improved understanding of bronchopulmonary dysplasia and better patient enrollment for trials.
Researchers developed a school simulation model that shows how the virus spreads in different settings and calculates the effectiveness of measures against its spread. The model reveals that elementary and lower secondary schools can keep reproduction rates below 1 with classroom ventilation, wearing masks, and class size reduction.
Researchers at Northwestern University developed a quantitative model to understand how politicized environments affect US political opinion formation and evolution. The model incorporates three psychological effects: attraction/repulsion, tribalism, and perceptual filtering, to simulate how populations change their opinions.
Researchers used a special experimentally-bred population, the Virginia chicken lines, to understand the genetic architecture behind chicken weight. They identified 20 different genetic loci that explained more than 60% of the additive genetic variance for selected trait.
Researchers at The University of Manchester have made a major step forward in nuclear waste recycling technologies by describing the electronic structure of uranium nitride compounds. A family of 15 complexes was synthesized, and advanced techniques were used to gain insight into their electronic states. This research has the potential...
A new study applies quantitative modeling to genomics, estimating the time and money required to use genomics to cut drug-related adverse outcomes in half. The model suggests a cost of less than $10 billion spread out over approximately 20 years.