United Airlines confirmed that a tire fell off a Boeing 757 passenger plane when it took off from Los Angeles International Airport in the early morning of July 8, local time. It is reported that there has been no report of any material damage or casualties in this accident. United Airlines said in a statement that the aircraft tire has been found and the investigation is ongoing. There were 174 passengers and 7 crew members on the flight involved. The flight left Los Angeles International Airport at around 7:15 on July 8 and flew to Denver. Unlike the aircraft tire falling incident on a United Airlines flight in March, the pilot of this flight continued the journey to Denver and landed smoothly there.

On July 8, local time, former British Prime Minister Sunak announced the appointment of the Conservative Party Shadow Cabinet, which is the first shadow cabinet of the Conservative Party in 14 years. Several former British cabinet members during Sunak's tenure as prime minister were appointed to the Conservative Party Shadow Cabinet, including James Cleverly as Shadow Home Secretary and Jeremy Hunt as Shadow Chancellor of the Exchequer. But former Foreign Secretary Cameron was not appointed as Shadow Foreign Secretary. In addition, the new leader of the Conservative Party will be elected as early as this week. On July 4, the UK held a parliamentary election. The counting results showed that the British Labour Party won more than half of the seats and won an overwhelming victory; the Conservative Party suffered a disastrous defeat, ending its 14-year continuous rule.

This Barbie is going to be a mother. And Margot Robbie has no problem putting her burgeoning baby bump on full display. In fact, the Barbie star, who is pregnant with her Tom Ackerley’s first baby, debuted recently her bump while vacationing on Italy’s Lake Como with her husband July 7. For the outing, Margot donned a black blazer over a white tee that was cropped above her stomach, showing off a sweet baby bump. She finished off the look with low-rise black trousers, black platform sandals and a summery straw bag. For his part, Tom—whom Margot wed in a 2016 ceremony in her native Australia—wore olive green trousers and a cream-colored button-down shirt and tan sneakers. The couple were photographed waiting on a dock in Lake Como before they hopped in a boat and sailed off into a literal sunset. While Margot and Tom, both 34, haven’t spoken publicly about their upcoming bundle of joy, the I, Tonya alum has previously expressed hope to have a big family one day. As she told Porter in 2018, “If I'm looking into my future 30 years from now, I want to see a big Christmas dinner with tons of kids there.” Tom and Margot’s new chapter comes over ten years after their love story first began on the set of 2014's Suite Française, in which Margot starred while Tom worked as a third assistant director. But while she was immediately smitten, Margot was convinced her love would go unrequited. "I was always in love with him, but I thought, ‘Oh, he would never love me back,'" she admitted to Vogue in 2016. "'Don't make it weird, Margot. Don't be stupid and tell him that you like him.' And then it happened, and I was like, ‘Of course we're together. This makes so much sense, the way nothing has ever made sense before.'"

An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times

In a groundbreaking discovery, researchers from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have found a desert moss species, known as Syntrichia caninervis, that has the potential to survive in the extreme conditions on Mars. The Global Times learned from the institute that during the third Xinjiang scientific expedition, the research team focused on studying the desert moss and found that it not only challenges people's understanding of the tolerance of organisms in extreme environments, but also demonstrates the ability to survive and regenerate under simulated Martian conditions. Supported by the Xinjiang scientific expedition project, researchers Li Xiaoshuang, Zhang Daoyuan and Zhang Yuanming from the Xinjiang Institute of Ecology and Geography and Kuang Tingyun, an academician from the Chinese Academy of Sciences, concentrated on studying the "pioneer species" Syntrichia caninervis in an extreme desert environment, according to the institute in an article it sent to the Global Times on Sunday. Through scientific experiments, the researchers systematically proved that the moss can tolerate over 98 percent cell dehydration, survive at temperatures as low as -196 C without dying, withstand over 5000Gy of gamma radiation without perishing, and quickly recover, turn green, and resume growth, showcasing extraordinary resilience. These findings push the boundaries of human knowledge on the tolerance of organisms in extreme environments. Furthermore, the research revealed that under simulated Martian conditions with multiple adversities, Syntrichia caninervis can still survive and regenerate when returned to suitable conditions. This marks the first report of higher plants surviving under simulated Martian conditions. The research team also identified unique characteristics of Syntrichia caninervis. Its overlapping leaves reduce water evaporation, while the white tips of the leaves reflect intense sunlight. Additionally, the innovative "top-down" water absorption mode of the white tips efficiently collects and transports water from the atmosphere. Moreover, the moss can enter a selective metabolic dormancy state in adverse environments and rapidly provide the energy needed for recovery when its surrounding environment improves. Based on the extreme environmental tolerance of Syntrichia caninervis, the research team plans to conduct experiments on spacecraft to monitor the survival response and adaptation capabilities of the species under microgravity and various ionizing radiation adversities. They aim to unravel the physiological and molecular basis of the moss and explore the key life tolerance regulatory mechanisms, laying the foundation for future applications of Syntrichia caninervis in outer space colonization.