--Stock price prediction is a critical area of financial forecasting, traditionally approached by training models using the historical price data of individual stocks. While these models effectively capture single-stock patterns, they fail to leverage potential correlations among stock trends, which could improve predictive performance. Current single-stock learning methods are thus limited in their ability to provide a broader understanding of price dynamics across multiple stocks. T o address this, we propose a novel method that merges local patterns into a global understanding through cross-stock pattern integration. Our strategy is inspired by Federated Learning (FL), a paradigm designed for decentralized model training. FL enables collaborative learning across distributed datasets without sharing raw data, facilitating the aggregation of global insights while preserving data privacy. In our adaptation, we train models on individual stock data and iteratively merge them to create a unified global model. This global model is subsequently fine-tuned on specific stock data to retain local relevance. The proposed strategy enables parallel training of individual stock models, facilitating efficient utilization of computational resources and reducing overall training time. We conducted extensive experiments to evaluate the proposed method, demonstrating that it outperforms benchmark models and enhances the predictive capabilities of state-of-the-art approaches. Our results highlight the efficacy of Cross-Stock Trend Integration (CSTI) in advancing stock price prediction, offering a robust alternative to traditional single-stock learning methodologies. TOCK price prediction has long been a cornerstone of financial research, with its origins rooted in attempts to model and forecast market behavior for informed decision-making.

An AI tech startup wants you to trade in regular dreams for a headband that lets you control your nighttime wanderings in a lucid dreamlike state. Prophetic is releasing the 2,000 Halo AI headband in 2025, which will give wearers unparalleled control over their dreams that could help users grapple with existing problems they're facing in their waking lives. The headband uses electroencephalography (EEG), which records electrical activity in the brain, and functional magnetic resonance imaging (fMRI) which measures brain activity by measuring the blood flow. However, experts aren't yet sure what the long-term effects could be and warn that using high-frequency sounds to zap your brain, could hinder our cognitive ability to process short-term memories. 'We are very rarely lucid in our dreams.

Scientists in Wales are 3D-printing cartilage for people born without body parts or who have missing facial features due to facial scarring. Using human cells and plant based materials, the experts say they are able to print ears, noses and other parts to help with facial reconstruction. The technology would benefit those who have had facial scarring as a result of burns, cancer and other types of trauma. The Scar Free Foundation has launched a three-year £2.5 million programme of'regenerative research' into the technology based at Swansea University with the aim to progress to clinical trials involving humans. A three-year ££2.5 million research programme funded by the Scar Free Foundation and Health and Care Research Wales at Swansea University will aim to advance the development of 3D bioprinted facial cartilage According to the Scar Free Foundation, patients living with the loss of facial features have told researchers that existing plastic prostheses didn't feel'part of them' and would prefer their own tissue to be used for reconstruction.

It's an age-old question – what makes someone attractive? We often say things like "beauty is in the eye of the beholder" but while this romantic notion may bring comfort to those dealt a poor hand in life, it also gives the impression that the foundations of attractiveness are elusive and unpredictable. It suggests that what each of us sees as an attractive trait – whether physical or psychological – is so variable that everyone must be looking for something different. While there is variety in what each of us regards as beautiful, cutting through this noise are common and consistent preferences. Psychological traits such as a sense of humor, intelligence, and kindness are generally sought after.

It is an age-old question – what makes someone attractive? We often say things like'beauty is in the eye of the beholder' but while this romantic notion may bring comfort to those dealt a poor hand in life, it also gives the impression that the foundations of attractiveness are elusive and unpredictable. It suggests that what each of us sees as an attractive trait – whether physical or psychological – is so variable that everyone must be looking for something different. Is beauty in the eye of the beholder? Researchers plan to measure dozens of volunteers' characteristics – including humour, intelligence, impulsivity, facial symmetry, strength, and more.

Claims that women are better at multi-tasking are a myth, a leading female academic said yesterday. Professor Gina Rippon, of Aston University, said that stereotypes that purport to be based on science are just allowing men and women to'wimp out' of doing things based on their sex. She said that women become'wired' for multi-tasking not because of anything innate, but because that is what society expects of them. Professor Rippon, who lecures in Neuroscience said the idea that men are from Mars and women are from Venus is'trash', the professor And Prof Rippon said that the segregation between girls and boys even occurs from a young age - with them being given different toys to play with and different books to read - and that could change the way in which their brains develop. She told an audience at Swansea University that boys' toys can often be more training-based while girls' toys are more nurturing.