A new AI capability that delivers analysis-ready Media Intelligence. More than just a product launch, this is a shift in how communications teams monitor, understand and act on media coverage.
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Machine learning techniques reveal that researchers can improve their forecasts for the spread of dengue by incorporating climate data – but not in all cases New York | Heidelberg, 13 December 2024 Dengue is a mosquito-borne disease which infects around 390 million people globally each year. Case numbers have grown steadily in recent years, with the most severe outbreaks occurring in tropical regions of South America.
Complemeting PIXE spectroscopy with two further techniques, electron microscopy and Raman spectroscopy, plus infrared photography has allowed a full characterisation of the pigments making up these important medieval paintings. New York | Heidelberg, 11 December 2024 The eighth-century church and crypt of San Salvatore in Brescia, Italy is one of the most important pieces of Early Medieval religious architecture in that country, if not in Europe as a whole.
Phase transitions in the collective motions of self-propelled particles are directly impacted both by the initial velocity of each particle, and the repulsive radius surrounding them. New York | Heidelberg, 11 December 2024 Collective motions of self-propelled particles can be found across many systems in nature.
Nuclear fission is the most reliable source of antineutrinos, but they are difficult to characterise. A new study suggests how their emission can be simulated most effectively. New York | Heidelberg, 10 December 2024 Antineutrinos are mysterious fundamental anti-particles with no charge and an exceptionally small but non-zero mass.
New progress in a long-standing debate about the nature of biological cell membranes could be made by considering which aspects of the membrane can be captured in simplified simulations New York | Heidelberg, 10 December 2024 Even after 60 years of exhaustive experimentation and modelling, researchers still haven’t reached a consensus about the true nature of the deeply complex behaviours of biological cell membranes.
Over the past decade, rainfall patterns on Sicily have shifted from a 4- to a 2-season cycle, reflecting similar shifts taking place worldwide. New York | Heidelberg, 19 November 2024 Around the world, man-made climate change is increasing both the frequency and severity of extreme weather events.
Insights from network theory have led to a novel mathematical representation of Parkinson’s disease development with potential clinical applications New York | Heidelberg, 18 November 2024 Neurodegenerative diseases, such as Parkinson’s disease, can be thought of as arising from malfunctions in the network of neuronal agglomerates in the brain. It is therefore often useful to apply insights from a branch of mathematics called network theory when studying the development of these diseases.
Electromagnetic field and alternating current loss in high-temperature ReBCO superconductors can be obtained by treating their complex electromagnetic interactions as a convex optimisation problem New York | Heidelberg, 15 November 2024 Rare-earth barium copper oxides (ReBCO) are a family of superconducting materials that allow electrical currents to flow with zero resistance, even at temperatures well above absolute zero.
A new approach to analysing infrared spectra reveal 20 new energy levels in the hyperfine structure of Protactinium. New York | Heidelberg, 20 September 2024 Since the late 1960s, the Laboratoire Aimé Cotton (LAC) in Orsay, France, has made significant progress in the classification of complex atomic spectra. These advances have been driven both by the development of Fourier transform spectroscopy, and through novel theoretical interpretations of atomic spectra.