Current Mathematical Models News and Events

Current Mathematical Models News and Events, Mathematical Models News Articles.
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A dynamic forest floor
Walk along the beach after a winter storm and you'll see a shore littered with wracks of giant kelp, some 30 to 40 feet long -- evidence of the storm's impact on coastal kelp forests. (2021-02-22)

Making sense of the mass data generated from firing neurons
Scientists reveal technological breakthrough which may help answer key questions about how animals process information and adapt to environmental changes. Researchers at the University of Sussex and University of Kyoto have developed a new framework capable of analysing the masses of data created when studying the thousands of neutrons within an animal's brain. (2021-02-19)

New physics rules tested on quantum computer
Simulation of non-Hermitian quantum mechanics using a quantum computer goes beyond centuries old conventions (2021-02-15)

New discovery may enable accurate prediction of cancer spread before cancer develops
Researchers from Erler Group at the Biotech Research & Innovation Centre (BRIC) in Copenhagen have discovered that the rigidity of a thin membrane structure encompassing cells and lining all vessels regulates how easily cancer cells can breach tissues to spread through the body, and is thus a key determinant of cancer patient survival. The results are published in Nature Materials today. (2021-02-15)

Scientists developed a novel method of automatic soil mapping
A team of soil scientists developed a new approach to the automatic generation and updating of soil maps. Having applied machine learning technologies to a set of rules traditionally used by experts in manual mapping, the team obtained a highly accurate model that provides easy-to-interpret results. (2021-02-15)

Moffitt uses mathematical modeling to identify factors that determine adaptive therapy success
In a new article featured on this month's cover of Cancer Research, Moffitt Cancer Center researchers, in collaboration with Oxford University, report results from their study using mathematical modeling to show that cell turnover impacts drug resistance and is an important factor that governs the success of adaptive therapy. (2021-02-15)

Insilico announces MolGrow -- a new generative model for hierarchical molecular generation
Insilico Presented Its New Molecular Generation Model at the 35th AAAI Conference on Artificial Intelligence (2021-02-11)

A new perceptually-consistent method for MSI visualization
Skoltech scientists have proposed a Mass Spectrometry Imaging (MSI) method leveraging the unique features of human vision (2021-02-11)

Placing cosmological constraints on quantum gravity phenomenology
Through new research published in EPJ C, researchers have used well-established cosmological observations to place tighter constraints on the quadratic model of the Generalized Uncertainty Principle, while discrediting the linear model. (2021-02-10)

Texas A&M researchers discover energy drinks' harmful effects on heart
A team of researchers, led by a Texas A&M University professor, has found that some energy drinks have adverse effects on the muscle cells of the heart. (2021-02-10)

Computational medicine -- moving from uncertainty to precision
An innovative partnership at The University of Texas at Austin takes aim at medicine down to the individual level by applying state-of-the-art computation to medical care. (2021-02-10)

Correspondence between representations in visual cortices and neural networks
A research group led by Nobuhiko Wagatsuma, Lecturer at Toho University, Akinori Hidaka, Associate Professor at Tokyo Denki University, and Hiroshi Tamura, Associate Professor at Osaka University, found that the neural network structure of attention prediction, based on deep learning used in the development of artificial intelligence, has similar characteristics to the cerebral mechanism of primates. (2021-02-08)

The quantum advantage: a novel demonstration
Scientists have just proved that a quantum machine can perform a given verification task in seconds when the same exercise would take a time equivalent to the age of the universe for a conventional computer. For this demonstration, they combined a complex interactive algorithm that solves a certain type of mathematical problem with limited information and a simple experimental photonics system that can be made in all advanced photonics laboratories. (2021-02-08)

Potential for misuse of climate data a threat to business and financial markets
Climate information is at risk of being misconstrued and used inappropriately in financial reports and has the potential to expose businesses to significant risk, according to a new paper by Australian researchers. (2021-02-08)

Mathematics developed new classes of stellar dynamics systems solutions
The Vlasov-Poisson equations describe many important physical phenomena such as the distribution of gravitating particles in the interstellar space, high-temperature plasma kinetics, and the Landau damping effect. A joint team of scientists from the Mathematical Institute of RUDN University and the Mathematical Institute of the University of Munich suggested a new method to obtain stationary solutions for a system of Vlasov-Poisson equations in a three-dimensional case. (2021-02-05)

The Ramanujan Machine
The study, which was published in the journal Nature, was carried out by undergraduates from different faculties under the tutelage of Assistant Professor Ido Kaminer of the Andrew and Erna Viterbi Faculty of Electrical Engineering at the Technion. (2021-02-05)

Researchers find a way to increase spatial resolution in brain activity visualization
Researchers from the HSE Institute for Cognitive Neuroscience have proposed a new method to process magnetoencephalography (MEG) data, which helps find cortical activation areas with higher precision. The method can be used in both basic research and clinical practice to diagnose a wide range of neurological disorders and to prepare patients for brain surgery. The paper describing the algorithm was published in the journal NeuroImage. (2021-02-05)

New research studies 'domino effects' and synchrony in brain activity
Scientists have made a significant breakthrough in the quest to understand the intricate processes that occur in the brain during seizures that are the key symptom of epilepsy. (2021-02-05)

RUDN University mathematicians reduced neural network size six times without post-training
A team of mathematicians from RUDN University found a way to reduce the size of a trained neural network six times without spending additional resources on re-training it. The approach is based on finding a correlation between the weights of neural connections in the initial system and its simplified version. (2021-02-05)

Sea level will rise faster than previously thought
There are two main elements to observe when assessing sea level rise. One is the loss of the ice on land and the other is that the sea will expand as it gets warmer. Researchers at the Niels Bohr Institute, University of Copenhagen have constructed a new method of quantifying just how fast the sea will react to warming. Former predictions of sea level have been too conservative, so the sea will likely rise more and faster than previously believed. (2021-02-02)

Snake micro scales reveal secrets of sidewinding and slithering
The mesmerizing flow of a sidewinder moving obliquely across desert sands has captivated biologists for centuries and has been variously studied over the years, but questions remained about how the snakes produce their unique motion. (2021-02-02)

Solving complex physics problems at lightning speed
A calculation so complex that it takes twenty years to complete on a powerful desktop computer can now be done in one hour on a regular laptop. Physicist Andreas Ekström at Chalmers University of Technology, together with international research colleagues, has designed a new method to calculate the properties of atomic nuclei incredibly quickly. (2021-02-01)

Synthetic biology reinvents development
The research team have used synthetic biology to develop a new type of genetic design that can reproduce some of the key processes that enable creating structures in natural systems, from termite nests to the development of embryos. (2021-02-01)

Mathematical method developed to predict cancer and drug-specific immunotherapy efficacy
Houston Methodist researchers have developed a mathematical model to predict how specific cancers will respond to immunotherapy treatments, thus enhancing chances for successful treatments from a wide variety of cancer-immunotherapy drug combinations. The results were recently published in Nature Biomedical Engineering in collaboration with researchers at MD Anderson Cancer Center. (2021-02-01)

The Lancet: Study estimates that, without vaccination against 10 diseases, mortality in children under five would be 45% higher in low-income and middle-income countries
Vaccinations against 10 major pathogens have a substantial impact on public health in low-income and middle-income countries (LMICs), according to new modelling research published in The Lancet. The study estimated that from 2000 to 2019 vaccinations have prevented 37 million deaths, and that this figure will increase to 69 million deaths for the period 2000-2030. Most of this impact is estimated to be among children younger than five years, most notably from measles vaccinations. (2021-01-28)

A NEAT reduction of complex neuronal models accelerates brain research
Unlike their simple counterparts in artificial intelligence (AI) applications, neurons in the brain use dendrites - their intricate tree-like branches - to find relevant chunks of information. Now, neuroscientists from the University of Bern have discovered a new computational method to make complex dendrite models much simpler. These faithful reductions may lead AI applications to process information much like the brain does. (2021-01-27)

Mammogram-based breast cancer risk model could lead to better screening guidelines
A new machine learning algorithm based on mammograms can estimate the risk of breast cancer in women more accurately than current risk models, according to a study from Adam Yala and colleagues. (2021-01-27)

To find the right network model, compare all possible histories
Scientists rarely have the historical data they need to see exactly how nodes in a network became connected. But a new paper in Physical Review Letters offers hope for reconstructing the missing information, using a new method to evaluate the rules that generate network models. (2021-01-25)

Navigating uncertainty: Why we need decision theory during a pandemic
Modern decision theory can assist policymakers in critical times such as the COVID-19 crisis, argue Bocconi University's Massimo Marinacci and Valentina Bosetti in a paper coauthored by Nobel laureate Lars Peter Hansen (2021-01-22)

Scientists improved eye tracking technology in VR systems
The tracking of eye movement is one of the key elements of virtual and amplified reality technologies (VR/AR). A team from MSU together with a professor from RUDN University developed a mathematical model that helps accurately predict the next gaze fixation point and reduces the inaccuracy caused by blinking. The model would make VR/AR systems more realistic and sensitive to user actions. (2021-01-22)

Combining best of both worlds for cancer modeling
Treatment options for many types of cancers remain limited, due partly to the in vitro tools used to model cancers and that results from animal studies do not always translate well to human disease. These shortcomings point to a clear need for a better, patient-specific model. Researchers suggest bioengineered microscale organotypic models can address this need. They discuss the advantages and capabilities of this technique, as well as its challenges, in the journal APL Bioengineering. (2021-01-21)

Personalizing cancer care with improved tumor models
While decades of research have resulted in substantial improvements in surviving cancer, a key challenge remains in identifying new drugs that improve outcomes for patients. In APL Bioengineering, researchers suggest a major hurdle is the paucity of models for cancer research that accurately represent patient tumors. They provide a perspective on strategies using models from individual patients and where the field needs to go in terms of research in animal systems and in culture systems. (2021-01-21)

Getting shapes into numbers
A mathematical framework enables accurate characterization of shapes (2021-01-20)

COVID-19 model reveals key role for innate immunity in controlling viral load
Since SARS-CoV-2 was identified in December 2019, researchers have worked feverishly to study the novel coronavirus. Although much knowledge has been gained, scientists still have a lot to learn about how SARS-CoV-2 interacts with the human body, and how the immune system fights it. Now, researchers reporting in ACS Pharmacology & Translational Science have developed a mathematical model of SARS-CoV-2 infection that reveals a key role for the innate immune system in controlling viral load. (2021-01-20)

Improving long-term climate calculations
Climate researchers have found a simple but efficient way to improve estimations of ultimate global warming from complex climate models. The finding is relevant for the evaluation and comparison of climate models and thus for accurate projections of future climate change - especially beyond the year 2100. (2021-01-19)

Constructing termite turrets without a blueprint
Following a series of studies on termite mound physiology and morphogenesis over the past decade, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences have now developed a mathematical model to help explain how termites construct their intricate mounds. (2021-01-19)

Mount Sinai researchers build models using machine learning technique to enhance predictions of COVID-19 outcomes
Mount Sinai researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress. (2021-01-18)

New management approach can help avoid species vulnerability or extinction
Research focuses on transient nature of species' and ecosystem stability; illustrates how prepare for possible flips. (2021-01-18)

How cells move and don't get stuck
Theoretical physicists from Berlin teamed up with experimental physicists from Munich to determine the precise mechanics involved in cell motility. The findings were published in the journal Proceedings of the National Academy of Sciences (PNAS). (2021-01-18)

Tracking the evolution Maxwell knots
A new study published in EPJ C by Alexei Morozov and Nikita Tselousov, from the Institute of Theoretical and Experimental Physics and the Institute of Transmission Problems, Moscow, respectively, details peculiar solutions to the Maxwell equations--so-called Maxwell knots. The research could have applications in the fields of mathematical physics and string theory. (2021-01-18)

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