The National Weather Service confirmed it as an EF-1 tornado, with winds reaching 95-105 mph

Shohei Ohtani says he's not planning to pitch in the All-Star Game next week after leaving the Los Angeles Angels’ 8-5 loss to the San Diego Padres with a blister on the middle finger of his right hand Tuesday

Stir-fried stones are the newest and most bizarre food trend going viral, especially as the stones themselves are inedible. Every now and then, a new food fad goes viral on the internet, with everything from the mysterious Pink Sauce to the TikTok famous baked feta pasta capturing people’s imaginations. Now, it is the turn of Chinese street vendors to have their moment, as a dish named soudui (“suck and throw”) has taken off online. What are stir-fried stones? The dish is a stir fry made of inedible pebbles, vegetables and spices that coat the pebbles with delicious flavour. Ingredients added to the stones on a griddle include chilli oil, garlic, rosemary and pepper. It is consumed by sucking the stones to get the flavour off, then discarding them. It costs around $2 per serving. Despite taking off with huge popularity now, the dish is thought to be centuries old having originated in the central Hubei province. It started when fishermen ran out of food and used the pebbles for sustenance instead. Sign up to our free Indy100 weekly newsletter @jeenjajaa วันนี้คุณลุงมากินให้ดูด้วยย หายสงสัยแล้วว่าต้องกินยังไง555555??✨ Cr.抖音号：_COOL0818 #fyp #douyin #แปลจีน #ผัดหิน #ของแปลก #抖音 #กินหิน #อาหารแปลก #จีนจ๋าจ๋า After going viral online, hawkers and street vendors have been jumping on the trend which has also been given a boost by Mukbang content creators, who film themselves eating. 石头也能当菜吃？自制湖北“爆炒鹅卵石”，原来这才是最硬的菜 www.youtube.com According to local news, Chinese social media platforms Weibo and Xiaohongshu are awash with videos of street hawkers making the dish and people sampling it. But, opinion about the dish appears varied, with many focused on the obvious point that the stones can be reused. One translated TikTok comment read: “After eating, wash and continue to fry.” Another joked: “How do you see which ones are cooked or not?” “Can be recycled,” another said. Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

The DC superhero film “Blue Beetle” led weekend ticket sales with an estimated $25.4 million, according to studio estimates, dethroning “Barbie” from the top spot after a record-setting run that left movie theaters colored pink for a month

Global investors are returning to Chinese debt in full force, as expectations for US interest rates to soon

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

Emmet Sheehan of the Los Angeles Dodgers pitched six innings of no-hit ball in his major league debut against the San Francisco Giants

So much of fashion right now feels disappointing. After years filled with promising pushes for progress — from body positivity to racial justice and wider representation — the post-lockdown industry has failed to demonstrate any real change. There’s been a notable lack of plus-size representation in recent seasons, while major luxury houses continue to be led by white men.

LISBON, Portugal--(BUSINESS WIRE)--Oct 30, 2023--

Here’s how to know whether to toss your Trader Joe’s cookies.

By Kate Abnett BRUSSELS (Reuters) -The European Union wants to sign contracts this year for up to 12 firefighting planes,

Japan's prime minister unveiled a $25 billion plan on Thursday to expand support for young people and families in a bid to help...