Poorer health is linked to a higher proportion of votes for the populist right wing political party, Reform UK, indicates an analysis of the 2024 general election voting patterns in England, published online in the open access journal BMJ Open Respiratory Research. The findings should prompt policy-makers of all political stripes to step up efforts to improve public health and tackle health inequalities, suggest the researchers.

Employing algorithm-fueled generative art, So-Yeon Yoon, professor of human centered design at Cornell University, found that the installation in a virtual store enhanced perceptions of exclusivity and aesthetic pleasure for both mass-market and luxury retailers.

SpectroGen, a new AI tool, serves as a virtual spectrometer for assessing a new material’s quality, offering a faster and cheaper option for certain materials-driven industries.

This study employs a quantile vector autoregression (QVAR) approach to investigate systemic risk interconnectedness across eight major NFT assets. The analysis reveals NFT markets exhibit moderate interconnectedness during normal conditions that significantly intensifies during extreme market states, creating vulnerability to volatility cascades. Research demonstrates asymmetric spillover patterns with frequent role reversals between risk transmitters and receivers, particularly when assets occupy opposite extreme quantiles. These findings provide crucial insights for constructing resilient NFT portfolios and developing effective regulatory frameworks addressing tail-risk events in digital asset markets.