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Categories: Ecology: Trees, Mathematics: Statistics
Published Idea of ice age 'species pump' in the Philippines boosted by new way of drawing evolutionary trees
(via sciencedaily.com) 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.'
Published Topology and machine learning reveal hidden relationship in amorphous silicon
(via sciencedaily.com) 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.
Published When quantum particles fly like bees
(via sciencedaily.com) 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.
Published One particle on two paths: Quantum physics is right
(via sciencedaily.com) 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.
Published Exposure assessment for Deepwater Horizon oil spill: Health outcomes
(via sciencedaily.com) 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.
Published Machine learning model could better measure baseball players' performance
(via sciencedaily.com) 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.
Published Study shows gaps in how STEM organizations collect demographic information
(via sciencedaily.com) 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.
Published Lottery luck in the light of physics: Researchers present theory on the dynamics of many-particle systems
(via sciencedaily.com) Power functional theory is a new approach that makes it possible to describe precisely the dynamics of many-particle systems over time.
Published Speaking from the heart: Could your voice reveal your heart health?
(via sciencedaily.com) An artificial intelligence (AI)-based computer algorithm accurately predicted a person's likelihood of suffering heart problems related to clogged arteries based on voice recordings alone.
Published Toward a quantum computer that calculates molecular energy
(via sciencedaily.com) Researchers have developed an algorithm that uses the most quantum bits to date to calculate ground state energy, the lowest-energy state in a quantum mechanical system. The discovery could make it easier to design new materials.
Published A first step towards quantum algorithms: Minimizing the guesswork of a quantum ensemble
(via sciencedaily.com) A quantum ensemble -- a set of quantum states with their corresponding probabilities -- is essential to the encoding of classical information for transmission over quantum channels. But receivers must be able to 'guess' the transmitted quantum state, incurring a cost called 'guesswork.' Recently, researchers have derived analytical solutions of the guesswork problem for when the ensemble is subject to a finite set of conditions. The results constitute a first step towards future algorithms for quantum software.
Published New insight into machine-learning error estimation
(via sciencedaily.com) Scientists are evaluating machine-learning models using transfer learning principles.
Published New data analysis tool uncovers important COVID-19 clues
(via sciencedaily.com) A new data analysis tool has revealed the specific immune cell types associated with increased risk of death from COVID-19.
Published Using artificial intelligence to find anomalies hiding in massive datasets
(via sciencedaily.com) Researchers have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train.
Published Navigation tools could be pointing drivers to the shortest route — but not the safest
(via sciencedaily.com) Time for a road trip. You punch the destination into your GPS and choose the suggested route. But is this shortest route the safest? Not necessarily, according to new findings.
Published Researchers use supercomputers for largest-ever turbulence simulations of its kind
(via sciencedaily.com) Despite being among the most researched topics on supercomputers, a fundamental understanding of the effects of turbulent motion on fluid flows still eludes scientists. A new approach aims to change that.
Published New computer vision system designed to analyse cells in microscopy videos
(via sciencedaily.com) Researchers have developed a system based on computer vision techniques that allows automatic analysis of biomedical videos captured by microscopy in order to characterize and describe the behavior of the cells that appear in the images.
Published Where mathematics and a social perspective meet data
(via sciencedaily.com) Community structure, including relationships between and within groups, is foundational to our understanding of the world around us.
Published Capturing hidden data for asymptomatic COVID-19 cases provides a better pandemic picture
(via sciencedaily.com) Asymptomatic COVID-19 cases are the bane of computer modelers' existences -- they throw off the modeling data to an unknown degree. A new approach explores using historic epidemic data from eight different countries to estimate the transmission rate and fraction of under-reported cases.
Published New computational tool predicts cell fates and genetic perturbations
(via sciencedaily.com) Researchers have built a machine learning framework that can define the mathematical equations describing a cell's trajectory from one state to another, such as its development from a stem cell into one of several different types of mature cell. The framework, called dynamo, can also be used to figure out the underlying mechanisms -- the specific cocktail of gene activity -- driving changes in the cell.