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Categories: Geoscience: Geomagnetic Storms, Mathematics: Statistics

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A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.

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A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues.

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As low Earth orbit becomes more cluttered, it becomes increasingly necessary to use middle Earth orbits, and radiation-tolerant cell designs will be needed. Making photovoltaics thinner should increase their longevity because the charge carriers have less far to go during their shortened lifetimes. Scientists propose a radiation-tolerant photovoltaic cell design that features an ultrathin layer of light-absorbing material. Compared to thicker cells, nearly 3.5 times less cover glass is needed for the ultra-thin cells to deliver the same amount of power after 20 years of operation.

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America was unprepared for the magnitude of the pandemic, which overwhelmed many counties and filled some hospitals to capacity. A new study suggests there may have been a mathematical method, of sorts, to the madness of those early COVID days.

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People often wonder why one nutritional study tells them that eating too many eggs, for instance, will lead to heart disease and another tells them the opposite. The answer to this and other conflicting food studies may lie in the use of statistics, according to a new report.

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Researchers followed the birth and death of tens of thousands of nematode worms using the 'Lifespan Machine', which collects lifespan data at unprecedented statistical resolution. They found that worms have at least two distinct 'biological ages', and that these have consistent correlations between each other, suggesting the existence of an invisible hierarchical structure that regulates the ageing process. The findings challenge the idea of living organisms having a single, universal biological age. It also means mean that biomarkers used to assess biological age can be changed by interventions such as diet, exercise, or drug treatments without actually turning a 'fast ager' into a 'slow ager'. The study calls into question the use of ageing biomarkers -- what exactly are they measuring?

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The contact.engineering platform enables users to create a digital twin of a surface and thus to help predict, for example, how quickly it wears out, how well it conducts heat, or how well it adheres to other materials.

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Astrophysicists show how and when specific particles form and offers clues to questions that have troubled scientists since the 1940s.

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A commentary advocates the proper application of artificial intelligence in healthcare and warns of the dangers when machine learning algorithms are misused.

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Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to improvements in computer performance and its potential applications in artificial intelligence. However, this statistical approach requires complex calculations of integrals, which are often considered approximations only. In their new study, the research team successfully derived new exact integral formulas. Their findings contribute to improving the accuracy of methods to identify data symmetries, possibly extending their applications to wider areas of interest, such as genetic analysis.

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A groundbreaking Bayesian method and new statistical analyses of genomic data from geckos in the Philippines shows that during the ice ages, the timing of gecko diversification gives strong statistical support for the first time to the Pleistocene aggregate island complex (PAIC) model of diversification, or 'species pump.'

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Fine-tuning the thermal conductivity of amorphous silicon used in technologies such as solar cells and image sensors should become much easier thanks to the computational topology and machine-learning-assisted discovery of the relationship between nano-scale structures and physical properties.

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Using technology similar to night-vision goggles, researchers have developed a device that can generate electricity from thermal radiation.

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A quantum system with only 51 charged atoms can take on more than two quadrillion different states. Calculating the system's behavior is child's play for a quantum simulator. But verifying the result is almost impossible, even with today's supercomputers. A research team has now shown how these systems can be verified using equations formulated in the 18th century.

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The famous double slit experiment shows that particles can travel on two paths at the same time -- but only by looking at a lot of particles and analysing the results statistically. Now a two-path-interference experiment has been designed that only has to measure one specific particle to prove that it travelled on two paths.

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Mathematicians have developed statistical methods that lay the framework for the crucial first step of determining whether there are any linkages between exposures and health outcomes from the 2010 Deepwater Horizon oil spill, which is considered the largest marine oil spill in the history of the U.S.

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Scientists report a method to study smaller magnetospheres, sometimes just millimeters thick, in the laboratory. The new experimental platform combines the magnetic field of the Large Plasma Device with a fast laser-driven plasma and a current-driven dipole magnet. The LAPD magnetic field provides a model of the solar system's interplanetary magnetic field, while the laser-driven plasma models the solar wind and the dipole magnet provides a model for the Earth's inherent magnetic field. Motorized probes allow system scans in three dimensions by combining data from tens of thousands of laser shots.

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Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the sport. Drawing on recent advances in natural language processing and computer vision, their approach would completely change, and could enhance, the way the state of a game and a player's impact on the game is measured.

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Professional organizations in science, technology, engineering and mathematics (STEM) fields could more effectively collect data on underrepresented groups in their fields, according to a new survey. With more robust information, STEM organizations could better target efforts to recruit and retain a more diverse membership.

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Power functional theory is a new approach that makes it possible to describe precisely the dynamics of many-particle systems over time.