Cartoonist Mitsuru Yaku (center) and other executives of Freelance League of Japan announces their survey to reporters in Tokyo on Tuesday. More than one in 10 Japanese manga artists, illustrators and other creators say their income fell over the past year due to generative AI, according to a survey released Tuesday by a freelance advocacy group. According to the Freelance League of Japan, which studies working conditions for independent professionals, 12% of respondents reported a decline in earnings linked to generative AI. That includes 9.3% who said income fell by between 10% to 50%, as well as 2.7% who said their income has dropped by more than 50%. Among those who said their income had fallen, respondents cited being asked to accept shorter deadlines and lower fees on the assumption that AI would be used, or losing commissions altogether as clients opted to rely on generative AI instead. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

River of waste'visible for miles' dumped at mountain beauty spot A farmer says she is devastated by a disgusting river of fly-tipped waste dumped down the side of a mountain. Katie Davies, whose family has owned land on Bwlch Mountain in Treorchy for 90 years, said the clean up could cost thousands of pounds and could also harm her sheep which graze on the land. Travel blogger Nathan Dixon, who captured drone footage showing the scale of the discarded waste, said the mess could be seen from three to five miles away, adding that it sticks out like a sore thumb. Rhondda Cynon Taf council said it always took action to hold those responsible for fly-tipping to account, while Natural Resources Wales (NRW) said fly-tipping was a serious crime. Davies, who runs small family business Nantymoel farm which produces Welsh beef and lamb, said the mess keeps me up at night.

An estimated 5 million Italians are in need of mental health support but are unable to afford it. An estimated 5 million Italians are in need of mental health support but are unable to afford it. My friends in Italy are using AI therapists. But is that so bad, when a stigma surrounds mental health? State provision for psychological health services is lamentable.

To survive, this isolated population of only 2,000 whales needs to be smart about mates. Breakthroughs, discoveries, and DIY tips sent six days a week. Among marine mammals, beluga whales () are particularly difficult to study in their icy habitat. To better understand and protect this endangered species, scientists must piece together bits of their lives from fragments, including one of the most important behaviors of any species--mating. One small population of beluga whales living in southwest Alaska's Bristol Bay appears to have a surprising strategy.

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Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' At least three people have been reported killed after Russian forces struck the southeastern Ukrainian city of Zaporizhzhia, Governor Ivan Fedorov announced on the Telegram messaging app. Russian strikes also destroyed several private houses and cars, and left nearly 1,500 households without electricity, the governor said.

All UK children could be offered screening for type 1 diabetes using a simple finger-prick blood test, say researchers who have been running a large study. Currently, many young people go undiagnosed and risk developing a life-threatening complication called diabetic ketoacidosis that needs urgent hospital treatment. Identifying diabetes earlier could help avoid this and mean treatments to control problematic blood sugar levels can be given sooner. Some 17,000 children aged three to 13 have already been checked as part of the ELSA (Early Surveillance for Autoimmune diabetes) study, funded by diabetes charities. Imogen, who is 12 and from the West Midlands, is one of those found to have diabetes thanks to the screening.

The 2025 Nature Photography Contest features a playful fox and a muscly horse. Crowned in Dust and Shadow A young male lion steps through a cloud of dust lifted by his own movement and caught in the back light. The night around him stays silent, but the glow reveals every contour of rising strength. Breakthroughs, discoveries, and DIY tips sent six days a week. While our world is filled with brilliant colors, seeing it in monochrome can be striking.

We study low-rank tensor-product B-spline (TPBS) models for regression tasks and investigate Dirichlet energy as a measure of smoothness. We show that TPBS models admit a closed-form expression for the Dirichlet energy, and reveal scenarios where perfect interpolation is possible with exponentially small Dirichlet energy. This renders global Dirichlet energy-based regularization ineffective. To address this limitation, we propose a novel regularization strategy based on local Dirichlet energies defined on small hypercubes centered at the training points. Leveraging pretrained TPBS models, we also introduce two estimators for inference from incomplete samples. Comparative experiments with neural networks demonstrate that TPBS models outperform neural networks in the overfitting regime for most datasets, and maintain competitive performance otherwise. Overall, TPBS models exhibit greater robustness to overfitting and consistently benefit from regularization, while neural networks are more sensitive to overfitting and less effective in leveraging regularization.

Healthcare sector indices consolidate the economic health of pharmaceutical, biotechnology, and healthcare service firms. The short-term movements in these indices are closely intertwined with capital allocation decisions affecting research and development investment, drug availability, and long-term health outcomes. This research investigates whether historical open-high-low-close (OHLC) index data contain sufficient information for predicting the directional movement of the opening index on the subsequent trading day. The problem is formulated as a supervised classification task involving a one-step-ahead rolling window. A diverse feature set is constructed, comprising original prices, volatility-based technical indicators, and a novel class of nowcasting features derived from mutual OHLC ratios. The framework is evaluated on data from healthcare indices in the U.S. and Indian markets over a five-year period spanning multiple economic phases, including the COVID-19 pandemic. The results demonstrate robust predictive performance, with accuracy exceeding 0.8 and Matthews correlation coefficients above 0.6. Notably, the proposed nowcasting features have emerged as a key determinant of the market movement. We have employed the Shapley-based explainability paradigm to further elucidate the contribution of the features: outcomes reveal the dominant role of the nowcasting features, followed by a more moderate contribution of original prices. This research offers a societal utility: the proposed features and model for short-term forecasting of healthcare indices can reduce information asymmetry and support a more stable and equitable health economy.