Non-human primates are our closest living relatives, and analyzing their behavior is central to research in cognition, evolution, and conservation. Computer vision could greatly aid this research, but existing methods often rely on human-centric pretrained models and focus on single datasets, which limits generalization. W e address this limitation by shifting from a model-centric to a data-centric approach and introduce PriVi, a large-scale primate-centric video pretraining dataset. PriVi contains 424 hours of curated video, combining 174 hours from behavioral research across 11 settings with 250 hours of diverse web-sourced footage, assembled through a scalable data cura-tion pipeline. W e continue pretraining V-JEP A, a large-scale video model, on PriVi to learn primate-specific representations and evaluate it using a lightweight frozen classifier . Across four benchmark datasets - ChimpACT, PanAf500, BaboonLand, and ChimpBehave - our approach consistently outperforms prior work, including fully fine-tuned baselines, and scales favorably with fewer labels. These results demonstrate that primate-centric pretraining substantially improves data efficiency and generalization, making it a promising approach for low-label applications. Code, models, and the majority of the dataset will be made available.

The convergence of the Internet of Things (IoT) and Industry 4.0 has significantly enhanced data-driven methodologies within the nuclear industry, notably enhancing safety and economic efficiency. This advancement challenges the precise prediction of future maintenance needs for assets, which is crucial for reducing downtime and operational costs. However, the effectiveness of data-driven methodologies in the nuclear sector requires extensive domain knowledge due to the complexity of the systems involved. Thus, this paper proposes a novel predictive maintenance methodology that combines data-driven techniques with domain knowledge from a nuclear equipment. The methodological originality of this paper is located on two levels: highlighting the limitations of purely data-driven approaches and demonstrating the importance of knowledge in enhancing the performance of the predictive models. The applicative novelty of this work lies in its use within a domain such as a nuclear industry, which is highly restricted and ultrasensitive due to security, economic and environmental concerns. A detailed real-world case study which compares the current state of equipment monitoring with two scenarios, demonstrate that the methodology significantly outperforms purely data-driven methods in failure prediction. While purely data-driven methods achieve only a modest performance with a prediction horizon limited to 3 h and a F1 score of 56.36%, the hybrid approach increases the prediction horizon to 24 h and achieves a higher F1 score of 93.12%.

This research examines the potential of datasets generated by Large Language Models (LLMs) to support Natural Language Processing (NLP) tasks, aiming to overcome challenges related to data acquisition and privacy concerns associated with real-world data. Focusing on negative valence text, a critical component of sentiment analysis, we explore the use of LLM-generated synthetic news headlines as an alternative to real-world data. A specialized corpus of negative news headlines was created using tailored prompts to capture diverse negative sentiments across various societal domains. The synthetic headlines were validated by expert review and further analyzed in embedding space to assess their alignment with real-world negative news in terms of content, tone, length, and style. Key metrics such as correlation with real headlines, perplexity, coherence, and realism were evaluated. The synthetic dataset was benchmarked against two sets of real news headlines using evaluations including the Comparative Perplexity Test, Comparative Readability Test, Comparative POS Profiling, BERTScore, and Comparative Semantic Similarity. Results show the generated headlines match real headlines with the only marked divergence being in the proper noun score of the POS profile test.

In 1996 Nasa and the White House made the explosive announcement that the rock contained traces of Martian bugs. The meteorite, catalogued as Allen Hills (ALH) 84001, crashed onto the frozen wastes of Antarctica 13,000 years ago and was recovered in 1984. Photographs were released showing elongated segmented objects that appeared strikingly lifelike.

A new congressional report warns China's military buildup has reached a war footing with 350 new missile silos and 20% nuclear expansion, threatening U.S. deterrence.

UK's sweeping asylum law changes: How will they impact refugees? Shabana Mahmood, the United Kingdom's home secretary, has said the country's asylum system is "not working" and is placing "intense strain on communities" ahead of proposals for major government reforms that would end refugees' automatic right to settle permanently in the UK. Speaking to the BBC on Sunday, Mahmood said undocumented migration is "tearing the country apart". First, they would end the automatic path to settled status for refugees after five years. And second, they would remove state benefits from those who have the right to work and can support themselves.

Barron Trump's mystery words to Joe Biden after his father's fierce inauguration speech are finally revealed Republican representative blasts Trump's Epstein investigation as a'smokescreen' while survivors beg Congress to finally reveal the hidden files: Live updates This is the simple weight loss trick I'd recommend to any woman over 50 who wants to burn calories and tone up - without working out or eating less: KERRY POTTER She runs the anonymous real-life Gossip Girl account outing Hollywood scandals now we expose HER identity and the secret life she's desperate to hide Keith Urban breaks his silence following split with Nicole Kidman - after admitting he's been'completely lonely and miserable' Olivia Nuzzi says Robert F. Kennedy Jr. didn't have a'brain worm' after all I was blackmailed and forced to do the unthinkable. DEAR JANE, how do I hide it from my wife? Trump turns to Epstein's lawyer to prove he has'nothing to hide' as he orders GOP to vote on releasing ALL documents to avert MAGA mutiny Terrifying rise of'taboo cancer': Doctors reveal subtle signs ALL women must know... the most common cause... and a game-changer shot that could save your life Jeff Bezos's ex MacKenzie Scott contributes more than $700MILLION to'historically black colleges' So many single men are taking this new drug cocktail before dates. The results in the bedroom are startling... as I discovered during one marathon session: JANA HOCKING I felt so ill I thought I was dying... but it was a gut condition doctors often wrongly dismiss as IBS: It's so common and there's misinformation about how to treat it, says Nicola... but this is what really works Boy, 9, accused of raping and brutally attacking girl, 5, is allowed home with ankle monitor... despite victim's mom pleading with judge Meghan's ex-husband's reaction to finding out she was dating Prince Harry is revealed by his pal Bethenny Frankel Trump wades into the most explosive debate in right wing media: 'People must decide' My Montecito mole tells me why Me-Me-Meghan'threw a fit' after Kris Jenner's birthday party... this Kardashian drama just won't go away: KENNEDY If I had to start over, here's how I'd make millions again! KEVIN O'LEARY reveals best investments, the career with soaring salaries and worst mistake he made Nigerian gunmen abduct'dozens' of girls from boarding school after killing deputy head teacher in chilling echo of Chibok kidnappings Conor McGregor's friend Dillon Danis slapped with LIFETIME ban by UFC chief Dana White after being involved in ringside brawl READ MORE: Here's what happens in football fans' brains when their team loses Scientists have unveiled the most detailed map of the brain ever created.

Trump turns to Epstein's lawyer to prove he has'nothing to hide' as he orders GOP to vote on releasing ALL documents to avert MAGA mutiny If I had to start over, here's how I'd make millions again! KEVIN O'LEARY reveals best investments, the career with soaring salaries and worst mistake he made My Montecito mole tells me why Me-Me-Meghan'threw a fit' after Kris Jenner's birthday party... this Kardashian drama just won't go away: KENNEDY Jeff Bezos's ex MacKenzie Scott contributes more than $700MILLION to'historically black colleges' Boy, 9, accused of raping and brutally attacking girl, 5, is allowed home with ankle monitor...despite victim's mom pleading with judge Smiling girl, 14, who vanished without a trace is found dead in RV... as cops arrest her family member Marjorie Taylor Greene's lookalike daughter defends mom against'fake MAGA' attacks amid fallout with Trump Trump crashes Mar-a-Lago wedding to talk about getting into heaven... but MAGA Christians are left angry Terrifying rise of'taboo cancer': Doctors reveal subtle signs ALL women must know... the most common cause... and a game-changer shot that could save your life She runs the anonymous real-life Gossip Girl account outing Hollywood scandals now we expose HER identity and the secret life she's desperate to hide Ariana Grande and Cynthia Erivo cause a stir with ANOTHER'ridiculous' red carpet moment Residents of city dubbed the'Birthplace of Silicon Valley' that's home to Mark Zuckerberg are sick of sleepless nights Nigerian gunmen abduct'dozens' of girls from boarding school after killing deputy head teacher in chilling echo of Chibok kidnappings Emily Blunt's asymmetrical frock horror and Kate Hudson's drab dress lead worst dressed stars at 16th Governors Awards Timothee Chalamet reveals his'true feelings' about ex Kylie Jenner after avoiding the'Kardashian curse' that has destroyed the lives and careers of the sisters' famous exes Iconic O.J. Simpson witness looks VERY different 30 years after legendary murder trial... see him now Most parents try to get them over and done with as soon as possible - but woke scientists now claim that nappy changes should be used as an opportunity to teach babies consent. Dr Nicole Downs and Dr Katherine Bussey, lecturers in Early Childhood at Deakin University in Australia, maintain that parents should not wait until their kids are teenagers to talk about appropriate touching. Instead, consent should be a'normal, everyday part of life' that teaches babies what is acceptable when it comes to their bodies. Parents should take their children's views into account, according to the pair - even when it comes to dealing with a dreaded nappy disaster.

The UN Security Council is expected to vote on a draft resolution backing Donald Trump's peace plan for Gaza. The text, submitted by the US, would give a mandate for the deployment of an International Stabilization Force (ISF) and to set up transitional governance there. The US says multiple unnamed countries have offered to contribute to the ISF, though it is unclear whether it would be required to ensure Hamas disarms or function as a peacekeeping force. Its formation is a central plank of Trump's 20-point plan which last month brought a ceasefire between Israel and Hamas in their two-year war. The draft also raises the possibility of a Palestinian state - something Israel strongly opposes.

What is the chance your plane will be hit by space debris? Explains: Let our writers untangle the complex, messy world of technology to help you understand what's coming next. In mid-October, a mysterious object cracked the windshield of a packed Boeing 737 cruising at 36,000 feet above Utah, forcing the pilots into an emergency landing. The internet was suddenly buzzing with the prospect that the plane had been hit by a piece of space debris. We still don't know exactly what hit the plane--likely a remnant of a weather balloon--but it turns out the speculation online wasn't that far-fetched. That's because while the risk of flights being hit by space junk is still small, it is, in fact, growing.