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Categories: Engineering: Biometric, Mathematics: Statistics

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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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The forensic-voice-comparison system, based on state-of-the-art automatic-speaker-recognition technology, outperformed all the listeners.

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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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A new report outlines a model law for facial recognition technology to protect against harmful use of this technology, but also foster innovation for public benefit.

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Forensic dramas on TV make it seem easy to determine when fingerprints were left at the scene of a crime. In reality, the oils in fingerprints degrade over time, and it's difficult to figure out their age. Now, researchers have discovered molecular markers for changes to these oils over a seven-day time period -- information that could be used to estimate fingerprints' ages more accurately.

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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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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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Researchers develop the 'photoswitching fingerprint analysis'. A unique technology that for the first time allows the analysis of molecular processes and the regulation of individual proteins in living cells with sub-10 nm spatial resolution. The application ranges from biological to medical research.

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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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Researchers have developed an artificial 'nose' that can identify individuals from their breath. Built with a 16-channel sensor array that can detect different compounds found in a person's breath, the olfactory sensor system has the potential to become another option in the biometric security toolkit. Combined with machine learning, the 'artificial nose' was able to authenticate up to 20 individuals with an average accuracy of more than 97%.

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In a project aimed at developing intelligent tools to fight child exploitation, computer scientists have developed a system to analyze the noise produced by individual cameras. This information can be used to link a video or an image to a particular camera.

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Up to now, protecting hardware against manipulation has been a laborious business: expensive, and only possible on a small scale. And yet, two simple antennas might do the trick.

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A team of engineers has demonstrated for the first time that the Bluetooth signals emitted constantly by our mobile phones have a unique fingerprint that can be used to track individuals' movements.

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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.