A provocative new study reveals the complex effects of the space environment on human health, providing insight into potential damage to blood, cell structure and the immune system. The study focused on SpaceX's Inspiration4 mission, which successfully sent two men and two women into space in 2021 to orbit the Earth for three days and shed some light on the effects of space travel on the human body. The research data, derived directly from the Inspiration4 mission, shows that even a brief trip to space can significantly damage the human immune system, trigger an inflammatory response, and profoundly affect cell structure. In particular, space travel triggered unprecedented changes in cytokines that play a key role in immune response and muscle regulation but are not usually directly associated with inflammation. In particular, the study found a significant increase in muscle factors, which are physiological responses specific to skeletal muscle cells in microgravity, rather than a simple immune response. Although non-muscular tissues did not show changes in proteins associated with inflammation, specific leg muscles such as soleus and tibialis anterior muscles showed significant signs of metabolic activity, especially increased interleukin in the latter, further enhancing the activation of immune cells.

Beijing self-driving cars on the road will usher in legislative protection. Recently, the Beijing Municipal Bureau of Economy and Information Technology solicited comments on the "Beijing Autonomous Vehicle Regulations (Draft for Comment)". The city intends to support the use of autonomous vehicles for urban public electric bus passenger transport, online car booking, car rental and other urban travel services. In addition to application scenarios, the draft for comments also standardizes autonomous driving innovation from many aspects, such as whether there is a driver, how to deal with traffic problems, and so on. The release of the opinion draft also means that the commercialization of automatic driving is accelerating, and perhaps soon we will be able to experience the convenience of automatic driving. In addition, the accelerated pace of autonomous driving, and whether it will have an impact on the taxi and traditional network car industry, it is also worth thinking about.

On Monday, executives from the three major chip giants in the US - Intel, Qualcomm, and Nvidia - met with US officials, including Antony Blinken, to voice their opposition to the Biden administration's plan of imposing further restrictions on chip sales to Chinese companies and investments in China. The Semiconductor Industry Association also released a similar statement, opposing the exclusion of US semiconductor companies from the Chinese market. First of all, we mustn't believe that the appeals of these companies and industry associations will collectively change the determination of US political elites to stifle China's progress. These US elites are very fearful of China's rapid development, and they see "chip chokehold" as a new discovery and a successful tactic formed under US leadership and with the cooperation of allies. Currently, the chip industry is the most complex technology in human history, with only a few companies being at the forefront. They are mainly from the Netherlands, Taiwan island, South Korea, and Japan, most of which are in the Western Pacific. These countries and regions are heavily influenced by the US. Although these companies have their own expertise, they still use some American technologies in their products. Therefore, Washington quickly persuaded them to form an alliance to collectively prevent the Chinese mainland from obtaining chips and manufacturing technology. Washington is proud of this and wants to continuously tighten the noose on China. The New York Times directly titled an article "'An Act of War': Inside America's Silicon Blockade Against China, " in which an American AI expert, Gregory Allen, publicly claimed that this is an act of war against China. He further stated that there are two dates that will echo in history from 2022: The first is February 24, when the Russia-Ukraine conflict broke out, and the second is October 7, when the US imposed a sweeping set of export controls on selling microchips to China. China must abandon its illusions and launch a challenging and effective counterattack. We already have the capability to produce 28nm chips, and we can use "small chip" technology to assemble small semiconductors into a more powerful "brain," exploring 14nm or even 7nm. Additionally, China is the world's largest commercial market for commodity semiconductors. Last year, semiconductor procurement in China amounted to $180 billion, surpassing one-third of the global total. In the past, China had been faced with the choice between independent innovation and external purchases. Due to the high returns from external purchases, it is easy for it to become the overwhelming choice over independent research and development. However, now the US is gradually blocking the option of external purchases, and China has no strategic choice but to independently innovate, which in turn puts tremendous pressure on American companies. Scientists generally expect that, although China may take some detours, such as recently apprehending several company leaders who fraudulently obtained subsidies from national semiconductor policies, China has the ability to gradually overcome the chip difficulties. And we will form our own breakthroughs and industrial chain, which is expected to put quite a lot of pressure on US companies. If domestic firms acquire half of China's $180 billion per year in chip acquisitions, this would provide a significant boost for the industry as a whole and help it advance steadily. The New York Times refers to the battle on chips as a bet by Washington. "If the controls are successful, they could handicap China for a generation; if they fail, they may backfire spectacularly, hastening the very future the United States is trying desperately to avoid," it argued. Whether it is a war or a game, when the future is uncertain, what US companies hope for most of all is that they can sell simplified versions of high-end chips to China, so that the option of external purchases by China continues to exist and remains attractive. This can not only maintain the interests of the US companies, enabling them to obtain sufficient funds to develop more advanced technologies, but also disrupt China's plans for independent innovation. This idea is entirely based on their own commercial interests and also has a certain political and national strategic appeal. Hence, there is no shortage of supporters within the US government. US Secretary of the Treasury Janet Yellen seems to be one of them, as she has repeatedly stated that the US' restrictions on China will not "fundamentally" hurt China, but will only be "narrowly targeted." The US will balance its strict suppression on China from the perspective of maintaining its technological hegemony, while also leaving some room for China, in order to undermine China's determination to counterattack in terms of independent innovation. China needs to use this mentality of the US to its advantage. On the one hand, China should continue to purchase US chips to maintain its economic fundamentals, and on the other hand, it should firmly support the development of domestic semiconductor companies from both financial and market perspectives. If China were to continue relying on exploiting the gaps in US chip policies in the long term, akin to a dependency on opium, it would only serve to weaken China further as it becomes increasingly addicted. China's market is extremely vast, and its innovation capabilities are generally improving and expanding. Although the chip industry is highly advanced, if there is one country that can win this counterattack, it is China. As long as we resolutely continue on the path of independent innovation, this road will definitely become wider. Various breakthroughs and turning points that are unimaginable today may soon occur.

AIRO, July 8 (Reuters) - A new Israeli assault on Gaza on Monday threatened ceasefire talks at a crucial moment, the head of Hamas said, as Israeli tanks pressed into the heart of Gaza City and ordered residents out after a night of massive bombardment. Residents said the airstrikes and artillery barrages were among the heaviest in nine months of conflict between Israeli forces and Hamas militants in the enclave. Thousands fled. The assault unfolded as senior U.S. officials were in the region pushing for a ceasefire after Hamas made major concessions last week. The militant group said the new offensive appeared intended to derail the talks and called for mediators to rein in Israel's Prime Minister Benjamin Netanyahu. The assault "could bring the negotiation process back to square one. Netanyahu and his army will bear full responsibility for the collapse of this path," Hamas quoted leader Ismail Haniyeh as saying. Gaza City, in the north of the Palestinian enclave, was one of Israel's first targets at the start of the war in October. But clashes with militants there have persisted and civilians have sought shelter elsewhere, adding to waves of displacement. Much of the city lies in ruins. Residents said Gaza City neighbourhoods were bombed through the night into the early morning hours of Monday. Several multi-storey buildings were destroyed, they said. The Gaza Civil Emergency Service said it believed dozens of people were killed but emergency teams were unable to reach them because of ongoing offensives. Gaza residents said tanks advanced from at least three directions on Monday and reached the heart of Gaza City, backed by heavy Israeli fire from the air and ground. That forced thousands of people out of their homes to look for safer shelter, which for many was impossible to find, and some slept on the roadside.

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