EurekAlert! News by Subject: Mathematics - News by Subject: Mathematics

Mathematics

Updates every hour. Last Updated: 13-Jul-2025 14:11 ET (13-Jul-2025 18:11 GMT/UTC)

New machine algorithm could identify cardiovascular risk at the click of a button

Edith Cowan University
Peer-Reviewed Publication

An automated machine learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

Journal: Journal of Bone and Mineral Research

Topological breakthrough: Non-reciprocal coulomb drag in chern insulators

Peking University
Peer-Reviewed Publication

Peking University, April 24, 2025: He Qinglin’s group at the Center for Quantum Materials Science, School of Physics, has reported the first observation of non-reciprocal Coulomb drag in Chern insulators. This breakthrough opens new pathways for exploring Coulomb interactions in magnetic topological systems and enhances our understanding of quantum states in such materials. The work was published in Nature Communications (DOI: 10.1038/s41467-025-58401-5).

Journal: Nature Communications

Expert-guided machine learning breakthrough enhances fault diagnosis in operating particle accelerator superconducting RF cavities

Nuclear Science and Techniques
Peer-Reviewed Publication

A research team from the Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), has developed a machine learning (ML) model enhanced with expert knowledge to classify eight types of faults in superconducting radio-frequency (SRF) cavities at the China Accelerator Facility for superheavy Elements (CAFE2) facility. This model helps operators quickly identify fault patterns after incidents, speeding recovery and supporting long-term stable SRF accelerator operation.

Journal: Nuclear Science and Techniques

Legacy of ‘inequality and deprivation’ in former coal mining communities

Staffordshire University
Reports and Proceedings

A new report calls for an end to austerity, and sustainable long-term economic and social policies for coalfield areas.

Researchers from University of Staffordshire, University of Cambridge and University of Leeds have examined the long-term impact of the loss of the coal industry in former coal-producing areas of the UK.

The report focuses on a number of coalfield areas; Fife and South Lanarkshire (Scotland) Barnsley and Stoke on Trent (England) and Neath/Port Talbot and Merthyr Tydfil (Wales).

Based in some of the most deprived regions of the UK, the researchers claim that successive Governments have failed these communities and are calling for a new type of sustained and long-term industrial policy.

Thirty-year mystery of dissonance in the “ringing” of black holes explained

Tokyo Metropolitan University
Peer-Reviewed Publication

Tokyo, Japan – A scientist from Tokyo Metropolitan University has solved the longstanding problem of a “dissonance” in gravitational waves emitted by a black hole. Using high precision computing and a new theoretical physics framework, it was discovered that it was caused by a resonance between a pair of distinctive “modes” i.e. different ways in which a black hole can “ring.” The phenomenon offers new insights into the nascent field of black hole spectroscopy.

Journal: Physical Review Letters

University of Ottawa-led research team forges compelling new insights into dynamics of the brain’s serotonin system

University of Ottawa
Peer-Reviewed Publication

A University of Ottawa Faculty of Medicine-led study published in Nature Neuroscience sheds new light on these big questions, illuminating a general principle of neural processing in a mysterious region of the midbrain that is the very origin of our central serotonin (5-HT) system, a key part of the nervous system involved in a remarkable range of cognitive and behavioral functions.

Journal: Nature Neuroscience

HKU physicists uncover hidden order in the quantum world through deconfined quantum critical points

The University of Hong Kong
Peer-Reviewed Publication

A recent study, led by Professor Zi Yang MENG and co-authored by his PhD student Menghan SONG of HKU Department of Physics, in collaboration with researchers from the Chinese University of Hong Kong, Yale University, University of California, Santa Barbara, Ruhr-University Bochum and TU Dresden, has unravelled some of the secrets concealed within the entangled web of quantum systems.

Journal: Science Advances

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