# news 2020

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**1**-**20**of**32**.Faster COVID-19 testing with simple algebraic equations

A mathematician from Cardiff University has developed a new method for processing large volumes of COVID-19 tests which he believes could lead to significantly more tests being performed at once and results being returned much quicker. Dr Usama Kadri, from the University's School of Mathematics, believes the new technique could allow many more patients to be tested using the same amount of tests tubes and with a lower possibility of false negatives occurring.

A mathematician from Cardiff University has developed a new method for processing large volumes of COVID-19 tests which he believes could lead to significantly more tests being performed at once and results being returned much quicker. Dr Usama Kadri, from the University's School of Mathematics, believes the new technique could allow many more patients to be tested using the same amount of tests tubes and with a lower possibility of false negatives occurring.

Scientists Solve 90-Year-Old Geometry Problem

Math puzzle resolved by translating it into satisfiability problem Carnegie Mellon University computer scientists and mathematicians have resolved the last, stubborn piece of Keller's conjecture, a geometry problem that scientists have puzzled over for 90 years. By structuring the puzzle as what computer scientists call a satisfiability problem, the researchers put the problem to rest with four months of frenzied computer programming and just 30 minutes of computation using a cluster of computers.

Math puzzle resolved by translating it into satisfiability problem Carnegie Mellon University computer scientists and mathematicians have resolved the last, stubborn piece of Keller's conjecture, a geometry problem that scientists have puzzled over for 90 years. By structuring the puzzle as what computer scientists call a satisfiability problem, the researchers put the problem to rest with four months of frenzied computer programming and just 30 minutes of computation using a cluster of computers.

When does a second COVID surge end? Look at the maths

Mathematicians have analysed COVID-19 infection rates from all US states. The results suggest public health officials shouldn't relax restrictions until surge periods are demonstrably over. They also used the method to look at Australian infection rates. When applied to Victoria, the new methodology shows the state in its second COVID-19 surge, as expected.

Mathematicians have analysed COVID-19 infection rates from all US states. The results suggest public health officials shouldn't relax restrictions until surge periods are demonstrably over. They also used the method to look at Australian infection rates. When applied to Victoria, the new methodology shows the state in its second COVID-19 surge, as expected.

Working from home is more effective than keeping kids off school in tackling Covid - new study

Closing schools and shielding the over 60s has less of an effect in reducing Covid-19 transmissions and death rates than reducing workplace interactions A 30% reduction in workplace interactions is forecasted to result in a 62% reduction in new infections and a 54% reduction in new deaths by the end of 2020 compared with no additional interventions Enabling employees to work from home is more effective than keeping children off school, or shielding the over 60s in reducing new Covid infections, new deaths and total deaths.

Closing schools and shielding the over 60s has less of an effect in reducing Covid-19 transmissions and death rates than reducing workplace interactions A 30% reduction in workplace interactions is forecasted to result in a 62% reduction in new infections and a 54% reduction in new deaths by the end of 2020 compared with no additional interventions Enabling employees to work from home is more effective than keeping children off school, or shielding the over 60s in reducing new Covid infections, new deaths and total deaths.

Mathematical program helps perform more efficient radiosurgery

Engineers at EPFL and local startup Intuitive Therapeutics have developed software that can produce optimized surgical plans for Gamma Knife radiosurgery. Doctors at the Lausanne University Hospital (CHUV) began using the software in July. Radiosurgery is a kind of radiotherapy where doctors administer a high dose of radiation to diseased tissue with extreme precision, and in one go rather than over several sessions.

Engineers at EPFL and local startup Intuitive Therapeutics have developed software that can produce optimized surgical plans for Gamma Knife radiosurgery. Doctors at the Lausanne University Hospital (CHUV) began using the software in July. Radiosurgery is a kind of radiotherapy where doctors administer a high dose of radiation to diseased tissue with extreme precision, and in one go rather than over several sessions.

Mathematical program helps doctors perform more efficient radiosurger

Engineers at EPFL and local startup Intuitive Therapeutics have developed software that can produce optimized surgical plans for Gamma Knife radiosurgery. Doctors at the Lausanne University Hospital (CHUV) began using the software in July. Radiosurgery is a kind of radiotherapy where doctors administer a high dose of radiation to diseased tissue with extreme precision, and in one go rather than over several sessions.

Engineers at EPFL and local startup Intuitive Therapeutics have developed software that can produce optimized surgical plans for Gamma Knife radiosurgery. Doctors at the Lausanne University Hospital (CHUV) began using the software in July. Radiosurgery is a kind of radiotherapy where doctors administer a high dose of radiation to diseased tissue with extreme precision, and in one go rather than over several sessions.

’Quantum negativity’ can power ultra-precise measurements

Scientists have found that a physical property called 'quantum negativity' can be used to take more precise measurements of everything from molecular distances to gravitational waves. We've shown that filtering quantum particles can condense the information of a million particles into one David Arvidsson-Shukur The researchers, from the University of Cambridge, Harvard and MIT, have shown that quantum particles can carry an unlimited amount of information about things they have interacted with.

Scientists have found that a physical property called 'quantum negativity' can be used to take more precise measurements of everything from molecular distances to gravitational waves. We've shown that filtering quantum particles can condense the information of a million particles into one David Arvidsson-Shukur The researchers, from the University of Cambridge, Harvard and MIT, have shown that quantum particles can carry an unlimited amount of information about things they have interacted with.

Researchers develop tiny but tough lasers

An international team of scientists led by The Australian National University (ANU) researchers has developed a new robust type of light technology that could lead to cheaper and faster devices. The team created a laser that is immune to fabrication imperfections and external disturbances, such as unwanted light reflections and scatterings.

An international team of scientists led by The Australian National University (ANU) researchers has developed a new robust type of light technology that could lead to cheaper and faster devices. The team created a laser that is immune to fabrication imperfections and external disturbances, such as unwanted light reflections and scatterings.

If relaxed too soon, physical distancing measures might have been all for naught

If physical distancing measures in the United States are relaxed while there is still no COVID-19 vaccine or treatment and while personal protective equipment remains in short supply, the number of resulting infections could be about the same as if distancing had never been implemented to begin with, according to a UCLA-led team of mathematicians and scientists.

If physical distancing measures in the United States are relaxed while there is still no COVID-19 vaccine or treatment and while personal protective equipment remains in short supply, the number of resulting infections could be about the same as if distancing had never been implemented to begin with, according to a UCLA-led team of mathematicians and scientists.

"Winter is coming": the influence of seasonality on pathogen emergence

Seasonal fluctuations drive the dynamics of many infectious diseases. For instance, the flu spreads more readily in winter. Two scientists from the University of Nantes 1 and the CNRS 2 in Montpellier have developed a mathematical model to predict the risk of the emergence of an epidemic, depending on the time of the year at which the pathogen is introduced.

Seasonal fluctuations drive the dynamics of many infectious diseases. For instance, the flu spreads more readily in winter. Two scientists from the University of Nantes 1 and the CNRS 2 in Montpellier have developed a mathematical model to predict the risk of the emergence of an epidemic, depending on the time of the year at which the pathogen is introduced.

Doing more with less: Sperm without a fully active tail move faster and more efficiently, new UK study finds

Sperm cells moving their long tail to swim through the body in search of an egg is a familiar image, but a fully ‘powered' tail may not be the key to success, according to a new UK study which could be crucial for improving the outcomes of assisted fertility treatments. Propulsion of sperm and how the cell uses its tail to move through the thick fluids of the reproductive tract to reach and fertilise an egg has been well studied.

Sperm cells moving their long tail to swim through the body in search of an egg is a familiar image, but a fully ‘powered' tail may not be the key to success, according to a new UK study which could be crucial for improving the outcomes of assisted fertility treatments. Propulsion of sperm and how the cell uses its tail to move through the thick fluids of the reproductive tract to reach and fertilise an egg has been well studied.

Behind the dead-water phenomenon

What makes ships mysteriously slow down or even stop as they travel, even though their engines are working properly? This was first observed in 1893 and was described experimentally in 1904 without all the secrets of this "dead water" being understood. An interdisciplinary team from the CNRS and the University of Poitiers has explained this phenomenon for the first time: the speed changes in ships trapped in dead water are due to waves that act like an undulating conveyor belt on which the boats move back and forth.

What makes ships mysteriously slow down or even stop as they travel, even though their engines are working properly? This was first observed in 1893 and was described experimentally in 1904 without all the secrets of this "dead water" being understood. An interdisciplinary team from the CNRS and the University of Poitiers has explained this phenomenon for the first time: the speed changes in ships trapped in dead water are due to waves that act like an undulating conveyor belt on which the boats move back and forth.

New mathematical principle used to prevent AI from making unethical decisions

A new mathematical principle has been designed to combat AI bias towards making unethical and costly commercial choices. Researchers from the University of Warwick, Imperial College London, EPFL (Lausanne) and Sciteb Ltd have found a mathematical means of helping regulators and businesses manage artificial intelligence (AI) systems' biases towards making unethical, and potentially very costly and damaging, commercial choices.

A new mathematical principle has been designed to combat AI bias towards making unethical and costly commercial choices. Researchers from the University of Warwick, Imperial College London, EPFL (Lausanne) and Sciteb Ltd have found a mathematical means of helping regulators and businesses manage artificial intelligence (AI) systems' biases towards making unethical, and potentially very costly and damaging, commercial choices.

Analysis: How the brain builds a sense of self from the people around us - new research

MBPhD researcher Sam Ereira (UCL Medical School) shares his research on brains and discusses how we distinguish between thinking about our minds versus those of others. We are highly sensitive to people around us. As infants, we observe our parents and teachers, and from them we learn how to walk, talk, read - and use smartphones.

MBPhD researcher Sam Ereira (UCL Medical School) shares his research on brains and discusses how we distinguish between thinking about our minds versus those of others. We are highly sensitive to people around us. As infants, we observe our parents and teachers, and from them we learn how to walk, talk, read - and use smartphones.

United States COVID-19 model passes Codecheck

The software behind a major Imperial study warning of a potential US coronavirus resurgence has received a Codecheck endorsement. The key findings in the 'Report 23' from Imperial College were reproducible. Dr Stephen Eglen University of Cambridge The independent review of the Imperial COVID-19 Response Team's code for Report 23 was led by Dr Stephen Eglen, Reader in Computational Neuroscience in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge.

The software behind a major Imperial study warning of a potential US coronavirus resurgence has received a Codecheck endorsement. The key findings in the 'Report 23' from Imperial College were reproducible. Dr Stephen Eglen University of Cambridge The independent review of the Imperial COVID-19 Response Team's code for Report 23 was led by Dr Stephen Eglen, Reader in Computational Neuroscience in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge.

An ant-inspired approach to mathematical sampling

In a paper published by the Royal Society, a team of Bristol researchers observed the exploratory behaviour of ants to inform the development of a more efficient mathematical sampling technique. Animals like ants have the challenge of exploring their environment to look for food and potential places to live.

In a paper published by the Royal Society, a team of Bristol researchers observed the exploratory behaviour of ants to inform the development of a more efficient mathematical sampling technique. Animals like ants have the challenge of exploring their environment to look for food and potential places to live.

Could we run out of sand? Scientists adjust how grains are measured

Not all sand is the same, but scientists have been using one model to measure how all sand flows. Geoscientists have now developed new mathematical equations that will help engineers manage coastline susceptible to the effects of climate change. Humans see sand as an infinite resource. We are astounded to discover there are more stars in the universe than grains of sand on our beaches.

Not all sand is the same, but scientists have been using one model to measure how all sand flows. Geoscientists have now developed new mathematical equations that will help engineers manage coastline susceptible to the effects of climate change. Humans see sand as an infinite resource. We are astounded to discover there are more stars in the universe than grains of sand on our beaches.

Codecheck confirms reproducibility of COVID-19 model results

Imperial's COVID-19 Response Team has published the script to reproduce its high-profile 16 March coronavirus report, as it passes a codecheck. The code, script and documentation, which is available on Github , was subject to an independent review led by Dr Stephen Eglen , Reader in Computational Neuroscience in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge.

Imperial's COVID-19 Response Team has published the script to reproduce its high-profile 16 March coronavirus report, as it passes a codecheck. The code, script and documentation, which is available on Github , was subject to an independent review led by Dr Stephen Eglen , Reader in Computational Neuroscience in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge.

COVID-19 restrictions came at the right time: new study

A data analytics study from the University of Sydney suggests the timing of COVID-19 restrictions in Australia stopped a significant growth in infections. The techniques used could help guide decision-making during the pandemic. The paper , from the University's NHMRC Clinical trials Centre, published in Epidemiology and Infection , shows social distancing measures and border closures during the initial stages of the COVID-19 pandemic coincided with a substantial reduction in new infections.

A data analytics study from the University of Sydney suggests the timing of COVID-19 restrictions in Australia stopped a significant growth in infections. The techniques used could help guide decision-making during the pandemic. The paper , from the University's NHMRC Clinical trials Centre, published in Epidemiology and Infection , shows social distancing measures and border closures during the initial stages of the COVID-19 pandemic coincided with a substantial reduction in new infections.

Solution to century-old math problem could predict transmission of infectious diseases

A Bristol academic has achieved a milestone in statistical/mathematical physics by solving a 100-year-old physics problem - the discrete diffusion equation in finite space. The long-sought-after solution could be used to accurately predict encounter and transmission probability between individuals in a closed environment, without the need for time-consuming computer simulations.

A Bristol academic has achieved a milestone in statistical/mathematical physics by solving a 100-year-old physics problem - the discrete diffusion equation in finite space. The long-sought-after solution could be used to accurately predict encounter and transmission probability between individuals in a closed environment, without the need for time-consuming computer simulations.