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Categories: Computer Science: Virtual Reality (VR), Mathematics: Statistics
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.
Published Enhanced statistical models will aid conservation of killer whales and other species
(via sciencedaily.com) Retrieving an accurate picture of what a tagged animal does as it journeys through its environment requires statistical analysis, especially when it comes to animal movement, and the methods statisticians use are always evolving to make full use of the large and complex data sets that are available. A recent study by researchers at the Institute for the Oceans and Fisheries (IOF) and the UBC department of statistics has taken us a step closer to understanding the behaviours of northern resident killer whales by improving statistical tools useful for identifying animal behaviours that can't be observed directly.
Published How statistics can aid in the fight against misinformation
(via sciencedaily.com) Mathematicians created a statistical model that can be used to detect misinformation in social posts.
Published Grouping of immune cell receptors could help decode patients' personal history of infection
(via sciencedaily.com) Novel software for grouping immunological T-cell receptors may enable the identification of shared patterns that could be used to determine if a person has previously been infected or vaccinated against a given pathogen.
Published New strategy for detecting non-conformist particles called anyons
(via sciencedaily.com) By observing how strange particles called anyons dissipate heat, researchers have shown that they can probe the properties of these particles in systems that could be relevant for topological quantum computing.
Published Calculating the path of cancer
(via sciencedaily.com) Scientists are using a new mathematical tool to predict how combinations of genetic mutations cause different types of tumors.
Published Contact-tracing apps could improve vaccination strategies
(via sciencedaily.com) Mathematical modeling of disease spread suggests that herd immunity could be achieved with fewer vaccine doses by using Bluetooth-based contact-tracing apps to identify people who have more exposure to others -- and targeting them for vaccination.
Published A statistical fix for archaeology's dating problem
(via sciencedaily.com) Archaeologists have long had a dating problem. The radiocarbon analysis typically used to reconstruct past human demographic changes relies on a method easily skewed by radiocarbon calibration curves and measurement uncertainty. And there's never been a statistical fix that works -- until now.
Published Statistics say large pandemics are more likely than we thought
(via sciencedaily.com) The COVID-19 pandemic may be the deadliest viral outbreak the world has seen in more than a century. But statistically, such extreme events aren't as rare as we may think, asserts a new analysis of novel disease outbreaks over the past 400 years. A newly assembled record of past outbreaks was used to estimate the probability of a pandemic with similar impact to COVID-19 is about 2 percent in any year. And that probability is growing.
Published New framework applies machine learning to atomistic modeling
(via sciencedaily.com) A new method could lead to more accurate predictions of how new materials behave at the atomic scale.
Published Novel method predicts if COVID-19 clinical trials will fail or succeed
(via sciencedaily.com) Researchers have modeled COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning.
Published Cancer: Information theory to fight resistance to treatments
(via sciencedaily.com) A major challenge in cancer therapy is the adaptive response of cancer cells to targeted therapies. Although this adaptive response is theoretically reversible, such a reversal is hampered by numerous molecular mechanisms that allow the cancer cells to adapt to the treatment. A team has used information theory, in order to objectify in vivo the molecular regulations at play in the mechanisms of the adaptive response and their modulation by a therapeutic combination.
Published Researchers explore ways to detect 'deep fakes' in geography
(via sciencedaily.com) It may only be a matter of time until the growing problem of 'deep fakes' converges with geographical information science (GIS). A research team are doing what they can to get ahead of the problem.
Published Scientific software - Quality not always good
(via sciencedaily.com) Computational tools are indispensable in almost all scientific disciplines. Especially in cases where large amounts of research data are generated and need to be quickly processed, reliable, carefully developed software is crucial for analyzing and correctly interpreting such data. Nevertheless, scientific software can have quality quality deficiencies. To evaluate software quality in an automated way, computer scientists have designed the SoftWipe tool.
Published Accurate evaluation of CRISPR genome editing
(via sciencedaily.com) Researchers have developed a new software tool to detect, evaluate and quantify off-target editing activity, including adverse translocation events that can cause cancer. The software is based on input taken from a standard measurement assay, involving multiplexed PCR amplification and Next-Generation Sequencing (NGS).
Published Smartphone breath alcohol testing devices vary widely in accuracy
(via sciencedaily.com) The latest generation of personal alcohol breath testing devices pair with smartphones. While some of these devices were found to be relatively accurate, others may mislead users into thinking that they are fit to drive, according to a new study.
Published Quantum drum duet measured
(via sciencedaily.com) Like conductors of a spooky symphony, researchers have 'entangled' two small mechanical drums and precisely measured their linked quantum properties. Entangled pairs like this might someday perform computations and transmit data in large-scale quantum networks.
Published Simple robots, smart algorithms
(via sciencedaily.com) Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research shows that, as magnetic interactions increase, dispersed 'dumb robots' can abruptly gather in large, compact clusters to accomplish complex tasks. Researchers report that these 'BOBbots' (behaving, organizing, buzzing bots) are also capable of collectively clearing debris that is too heavy for one alone to move, thanks to a robust algorithm.