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Escaped prisoner Danelo Cavalcante has revealed that he managed to evade capture for two weeks on the run by burying his own faeces and surviving on watermelon. Cavalcante escaped Chester County Prison in Pennsylvania back on 31 August after he was handed a life sentence for murdering his former girlfriend. It was not until almost two weeks later – on the morning of 13 September – that the escaped prisoner was finally back in handcuffs, after he was captured by a tactical team and police K-9 in a wooded area. Since his capture, investigators have now revealed that Cavalcante complied with their questions and told them various details about his time on the run from the police. Supervisory Deputy US Marshall Robert Clark, who conducted the manhunt that eventually led to his capture, spoke to NewsNation’s Chris Cuomo about the aftermath of his arrest. Mr Clark said that the fugitive was “brutally honest” about his two weeks evading capture from law enforcement and the measures he went to to survive and stay hidden. Various investigators, from US Marshalls, PA State police to county police, all wanted to interview him, but were unsure what to expect, he said. “We took a Brazilian law enforcement interpreter, and we asked if he wanted to talk and he did,” Mr Clark told NewsNation, saying that by Cavalcante agreeing, they were able to fill in the gaps in their investigation. According to Mr Clark, the fugitive said that, within the first three days, he didn’t move far from Chester County Prison. After that, Cavalcante said that he ate watermelon he stole from a farm, drank water from a stream and hid within dense thickets where, unless someone stepped on him, he would be able to remain hidden from sight. To cover his tracks, he would hide his faeces under leaves. There were several close calls with search teams, the fugitive also allegedly admitted. “He did say on three occasions law enforcement officers did almost step on him. They were about seven to eight yards away from him,” Mr Clark said. “We believe he was brutally honest. He described things such as hiding his faecal matter under leaves so that we couldn’t detect them.” The officers even asked how Cavalcante managed to change his appearance by becoming clean-shaven while on the run, questioning whether someone had helped him. His answer was simple: the backpack he was pictured with, held a single razor. The investigators and Mr Clark found Cavalcante’s story “credible” and “candid,” as he went into detail about how he moved out of the first perimeter by scoping out an area he could escape across. Cavalcante told officials that he noticed more and more of a law enforcement presence and became aware of aerial assets and helicopters. He apparently also told investigators about the vehicle he stole on 10 September, that police found abandoned in a field behind a barn 15 miles outside of Phoenixville. He also spoke about the stolen firearm, which he obtained after breaking into a resident’s garage, Mr Clark said. Had he not been captured – with the help of a K-9 that bit him on the top of his head – Cavalcante planned to flee the country. “He intended to carjack somebody in the community and head north to Canada, or either or try to get back to Puerto Rico. He said he was going to do that in the next 24 hours. And that was the reason he kept that firearm. He knew he needed a weapon in order to get a vehicle,” Mr Clark said. Cavalcante also told law enforcement that Mexico was on the list of possible places he may have fled to, according to Steve Keeley from Fox 29. “Cavalcante said his endgame was to carjack someone in next day because he noticed increasing aerial search helicopters & airplanes… He only moved at night, no days,” Mr Keeley said on X. Mr Keeley’s source also matched what Mr Clark said about the fugitive conducting his own surveillance during his escape, both of the perimeter around Longwood Gardens and on the house where he stole the firearm from. Mr Clark said his US Marshall colleagues described Cavalcante during the interview as “calm, cool, [and] didn’t have any attitude to him”. Cavalcante was finally caught when Pennsylvania officials closed in on him on Wednesday morning. He was crawling through heavy underbush trying to get away, but was stopped by a four-year-old K-9 called Yoda, who was dispatched to grab hold of him by biting him on his head. After he was captured, a large group of officers took a group photo with the criminal now back in handcuffs, something they have since come under fire for. Cavalcante was serving a life sentence in prison for fatally stabbing his ex-girlfiend Deborah Brandao. He is also wanted for a murder he committed in 2017 in Brazil. Read More Captured killer Danelo Cavalcante reveals how he survived on run as police under fire for group photo: Live Hundreds of police officers hunted for Danelo Cavalcante for two weeks. A dog secured his capture Pennsylvania fugitive Danelo Cavalcante is captured hiding under logs in shed two weeks after prison escape

Oh, to be a guest at a dinner party thrown by Nigella Lawson. It’s the stuff of dreams. On TV, she always made hosting look so effortlessly elegant, passing around plates piled high with luscious-looking food to her laughing guests, fairy lights twinkling above them as though they were ethereal beings blessed by the Domestic Goddess herself. To my teenage self, having a glamorous dinner party was the height of adulthood – Nigella was a huge inspiration. But these days, Nigella says she is less inclined to host a big dinner party – the ones that the public see on her shows like Nigellissima and Nigella Feasts are actually rare. In a new interview with The Times, she revealed that she has fallen “out of the habit” of big gatherings, adding: “I’ll have a person or a couple of people over quite often and I keep planning to have people round in a proper grown-up way but I haven’t yet. I must! I feel a bit guilty because people have had me for dinner and I haven’t had them back.” One could argue that it’s fair for dinner parties to be a thing of the past for Lawson, who has been setting the bar for these things for the past 20 years or so. She can and should do whatever she likes that makes her comfortable. But for me, a woman in her thirties, I still haven’t had the pleasure of planning and throwing a Nigella-level dinner party, and that makes me rather sad. I want to be the hostess with the mostest. I sometimes fantasise about who I’d invite, what I’d cook, what dishes I’d use, what playlist I’d throw on. When I lived in Malaysia, I had a large flat all to myself for just a few months. This period coincided with a New Year’s Eve that, at the last minute, had me throwing a party for everyone who didn’t already have plans. It wasn’t a Nigella-esque party given its eleventh hour nature, but it was perfect for the time – we ordered pizzas and people brought snacks and booze, and we all stayed up late chatting, listening to music, ringing in the new year. What bliss! But modern living quarters have shrunk so much that it makes me claustrophobic just thinking about it. These days, even the idea of a dining room that is separate from the living room feels like a pipe dream for my generation. Entire houses that would have been occupied by one family have been sliced into flats that squeeze multiple households under one roof. The abominable creation of “studio apartments” that force tenants to cook, eat, and sleep in the same space hardly offer the means to have friends over for dinner. Don’t even speak to me about buying a house – I’m just trying to keep my head above water with rent prices, which reached record highs in June. And no, giving up lattes from Pret has not helped one iota. Inflation and wage stagnation have also stamped on my dreams of being a dinner party pro. I’m sorry to be That Person, but have you done a weekly grocery shop recently? I find myself wincing at the checkout more and more with each shop, and I’m only shopping for two. I can’t imagine buying a week’s worth of groceries for a family, let alone a party of more than four. This year, I made a Chinese New Year meal for six people – two of us had to eat on the sofa – and the cost nearly bowled me over. I desperately wanted to do it, but I did not relish looking at my bank balance afterwards. Then there’s the cost of decorations to think about. If TikTok videos are to be believed, decorating is easy as pie, with hundreds of influencers telling you that all you need is a unique table runner; huge bunches of beautiful flowers dotted around; mismatched tableware for a cutesy, vintage feel; tall candles; linen napkins tied up with string. But all of this costs more money than you’d expect, and “hacks” like getting up at 5am to go to Columbia Road Flower Market to get cheaper blooms aren’t all that helpful when work and other commitments demand your time. Of course, where there’s a will, there’s a way. Nigella’s suggestion of serving Twiglets as a starter is unconventional, but fun and cheap; as is her preferred method of making “a big plate of food, taking it out and seeing everyone eat”. Certainly, her latest Ocado recipe for sardine spaghetti – which uses humble tinned sardines in tomato sauce – is cheap, cheerful and entirely delicious, perfectly suited for feeding a large number of people on a budget. This isn’t too surprising: Nigella has always had her finger on the pulse of the public mood, and her other recent Ocado recipes, which feed four people for under £5, will come in handy for many who are struggling. But looking back at the dinner parties she’s hosted on her TV shows, perhaps they weren’t so lavish after all. The immense appeal and pleasure of Nigella’s gatherings has always stemmed from the fact that she cooks what she loves, for people she loves, no matter the number. Her shows, too, made these intimate parties look sparkly and lavish, but underneath all of them lay the bare bones of a great night in: sharing delicious food with wonderful company. I can’t help but grieve for the parties I could’ve had by now. I wish I could fill my home with people without worrying about whether there are enough chairs or if the neighbours above and below me are grinding their teeth, waiting for 10pm to roll around so they can knock on the door and tell us to keep it down. It remains my fervent aspiration, still, to someday throw a Nigella Feasts-worthy dinner party. Until then, I’ll just have to comfort myself with the reminder that even Nigella isn’t up for that these days – and that entertaining for a smaller number of people can be just as satisfying. Read More It took until my thirties to realise I might not be white Solitude used to mean sad singledom. Now it’s become a status symbol I’d waste hours watching ‘What I Eat in a Day’ videos. I can’t believe they’ve made a comeback

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Scientists have developed an artificial intelligence (AI) tool that can classify four subtypes of Parkinson’s disease with up to 95% accuracy. Researchers from the Francis Crick Institute and the UCL Queen Square Institute of Neurology in London “trained” a computer program to recognise the subtypes of the condition using images of stem cells from patients. The team said their work, published in the journal Nature Machine Intelligence, could pave the way for personalised medicine and targeted drug discovery. Sonia Gandhi, assistant research director and group leader of the Neurodegeneration Biology Laboratory at the Crick, said: “We understand many of the processes that are causing Parkinson’s in people’s brains. The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine Sonia Gandhi, Francis Crick Institute “But, while they are alive, we have no way of knowing which mechanism is happening, and therefore can’t give precise treatments. “We don’t currently have treatments which make a huge difference in the progression of Parkinson’s disease. “Using a model of the patient’s own neurons, and combining this with large numbers of images, we generated an algorithm to classify certain subtypes – a powerful approach that could open the door to identifying disease subtypes in life. “Taking this one step further, our platform would allow us to first test drugs in stem cell models, and predict whether a patient’s brain cells would be likely to respond to a drug, before enrolling into clinical trials. “The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine.” Parkinson’s is a condition in which parts of the brain become progressively damaged over many years. Symptoms include involuntary shaking of particular parts of the body, slow movement, and stiff and inflexible muscles. But there is also a wide range of other physical and psychological symptoms such as depression and anxiety, problems sleeping, and memory problems. These vary from person to person due to differences in the underlying mechanisms causing the disease. The researchers said that until now, there was no way to accurately differentiate Parkinson’s subtypes. It means people are given nonspecific diagnoses and do not always have access to targeted treatments, support or care, the team added. For the study, the researchers generated stem cells, which have the ability to develop into specialised cell types in the body, from patients’ own cells. The team then used those cells to chemically create four different subtypes of Parkinson’s: two involving pathways leading to toxic build-up of a protein called alpha-synuclein and two involving pathways associated with dysfunctional mitochondria, the cell’s battery packs. Working with the British technology company Faculty AI, the team developed machine-learning algorithms which were able to accurately predict the Parkinson’s subtype when presented with images it had not seen before. James Evans, a PhD student at the Crick and UCL, and first co-author of the study, said: “Now that we use more advanced image techniques, we generate vast quantities of data, much of which is discarded when we manually select a few features of interest. “Using AI in this study enabled us to evaluate a larger number of cell features, and assess the importance of these features in discerning (the) disease subtype. “Using deep learning, we were able to extract much more information from our images than with conventional image analysis. “We now hope to expand this approach to understand how these cellular mechanisms contribute to other subtypes of Parkinson’s.” Read More Charity boss speaks out over ‘traumatic’ encounter with royal aide Ukraine war’s heaviest fight rages in east - follow live Oxford scientists find no evidence to suggest Facebook not good for wellbeing Many adults would struggle to understand video-sharing platforms’ rules – Ofcom Ozzy Osbourne PlayStation tweet which failed to reveal link to Sony banned

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