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爱上海419论坛|夜上海论坛|上海后花园论坛|上海品茶网 Skip to content 爱上海419论坛|夜上海论坛|上海后花园论坛|上海品茶网 Going to the Grassroots in the Spring Festival ｜ Yi Jia, the flight attendant of China Eastern Airlines： Serving ＂Spring Festival travel rush＂ and ＂Wrong Peak＂ are also happy during the holidays 2025年12月6日 | admin | A1 This article is transferred from: China Net. "This year’s Spring Festival is earlier, and it is also the third Spring Festival travel rush under the influence of the epidemic. On January 24th, a flight from Pudong, Shanghai to Liuzhou, Guangxi just flew, and the joy and happiness of the passengers going home can’t be hidden." Yi Jia, a senior flight attendant with 18 years’ working experience in the cabin service department of China Eastern Airlines, talked about this year’s Spring Festival travel rush, with the same happy smile on her face, which is easy to ignore. She has not been at home for the Spring Festival for ten years. Yi Jia introduced herself as a bit "chatty", and people who meet "right eyes" will have a chat. Because of the working relationship of the flight attendant, besides the cabin service on the flight and communication with the crew, communication with the passengers from south to north, and caring about the passengers’ flight experience are also things she likes to do. "I was deeply impressed by the flight to Liuzhou that day. A passenger happened to come to the back cabin, and we just had an exchange. I said that you seemed very excited." The passenger said, "I can’t go home for the New Year in 2020 or 2021. Many colleagues around me can’t go home this year because my home is in an epidemic-prone area. Although I have to go back and forth this time and there are many people waiting in line to do nucleic acid, I feel very lucky." The Spring Festival is the warmest festival in Chinese, which spans thousands of miles just for a reunion. In Yi Jia’s view, although the Spring Festival gives everyone different feelings, no matter how far you are from home and where you work, as long as you are in the Spring Festival, you still want to go back to your place and reunite with your family. This passenger feels very lucky, and that excitement can be seen from his face. More interestingly, the passenger also asked Yi Jia: "How do you arrange for the New Year?" "We responded to the call of the country to celebrate the New Year with you. When you celebrate the New Year, you will be sent back as a ferryman. When the New Year is not so busy, we will rest in peace and celebrate the New Year with our families." Yi Jia smiled in response. She joined the work in 2004 and transferred to Shanghai in 2007. Yi Jia, a flight attendant, has been working as a flight attendant. Because my father died and my mother was alone in her hometown of Chongqing, I was particularly homesick every Spring Festival. One year during the Spring Festival, Yi Jia happened to fly to Chongqing. Thinking of her mother and relatives in this city, she took a picture with the word "Chongqing" at the door of the airplane cabin and sent it to her circle of friends, but after thinking about it, she quickly deleted it. "As a flight attendant, I don’t want too many people to know that I’m homesick too, lest the team be sad by me during the New Year," she explained. Yi Jia’s mother remembers most clearly how many years she hasn’t been back to Chongqing for the Spring Festival: "Except when you gave birth, we went to Shanghai to take care of you and celebrate the Spring Festival. You haven’t been home for the Spring Festival since you worked." Yi Jia also explained to his family that because of the particularity of the flight crew, there is no way to make arrangements for the holidays in advance. Sometimes I just have to leave my mother in Chongqing, but my heart is always there. Every time I talk about the topic of "flying during the Spring Festival", Yi Jia, a woman, a wife and a mother, secretly "wipes her tears" because her family can’t reunite for the holidays. However, her husband understood, comforted and supported her: "The flight attendants want to go home for the New Year, the police also want to go home for the New Year, and the doctors in the emergency room also want to celebrate the New Year. Who doesn’t want to celebrate the New Year? But everyone has a responsibility in their work, and sticking to their posts means taking on this responsibility …". Because of the responsibility, I persisted. Yi Jia also said that her persistence was accompanied by the blessing of "love". In Spring Festival travel rush this year, epidemic prevention and control is still the top priority. Yi Jia said: "Our flight attendants want to fly to a place. Before flying, we must know the epidemic prevention level and epidemic prevention policy of the destination. The nucleic acid requirements of the corresponding units in each area are also different. This information will be repeatedly confirmed during the pre-flight preparation meeting; We should also do our own protection and protection with passengers, including wearing our own masks and gloves, and remind passengers to do their best; Another is the disinfection work in areas such as toilets. There are strict corresponding standards, and various epidemic prevention plans have been running through the entire flight. " Because of flying for a long time, Yi Canon, who is already a senior flight attendant, is competent for all kinds of models, large and small, and also serves as a part-time "teacher" and does a good job of "mentoring". On January 18th, she also flew a wide-body A350 from Shanghai Pudong to Amsterdam, which was a "passenger-to-cargo" flight. Although there are no passengers, the intensity of safety inspection has not been relaxed at all. "If the cabin is loaded, then’ goods’ are passengers. Every 15 minutes, we have to patrol the cabin with oxygen bottles on our backs to check the cargo fixation." The epidemic prevention and control of international flights is a very important link. When the plane is about to descend, Yi Jia and all the crew have to put on protective clothing and become "big white". After arrival, they will complete the handover with local staff. The cabin will also be strictly divided into clean area, buffer area and cargo area, and each area has very strict operation procedures and regulations. Since the outbreak of the epidemic, international passenger flights have plummeted, and global freight demand has exploded. China Eastern Airlines has taken the initiative to change and took the lead in implementing "passenger-to-cargo" flights as a supplement to all-cargo intercontinental transportation to ensure smooth global industrial chain and supply chain. It is the strict implementation of these systems that ensures the epidemic prevention safety of flights. Whether it’s a passenger flight or a cargo flight, the crew after the international flight will enter the "isolation" state according to the regulations, and there will be less time to get together with their families. Yi Jia recalled: "Last month, I flew a Pudong-Seoul round-trip international passenger flight on the same day. After staying in a hotel and other nucleic acids came out, I flew another Pudong-Frankfurt round-trip international passenger flight. After I came back, I was isolated. From going out to going home, it took more than 20 days at a time." Yi Jia said with a smile: "Under the epidemic situation, the isolation of the unit is not only a common occurrence, but also a continuous improvement of the psychological quality of the family. My husband and mother-in-law often come to see me, and we waved from afar. My husband did not forget to remind me on the phone to take advantage of the isolation time and have a good rest, and also made the courseware as a service teacher …" Yi Jia also said that as a new Shanghainese, she especially liked Shanghai. Under the current epidemic situation, it is not easy for all walks of life. Yi Jia said that the care of the employees of the big family of China Eastern Airlines, the carefully arranged flight protection and the life during the quarantine period made the crew feel warm and warm. "My sense of happiness is very high, not only from this city, but also from the’ big family’ of China Eastern Airlines." In a few days, Yi Jia will know the flight schedule during the Spring Festival holiday. She said, "I’m definitely going to fly …". (Text/Photo: Correspondent Tax Ning) Reporting/feedback Continue reading » The Secret of the 2024 Global Box Office List： How did China’s films perform？ 2025年12月3日 | admin | A1 In 2024, the global film industry can be described as changeable, and all kinds of films have attracted the attention of countless audiences. Recently, the global box office list has been released. Let’s take a look at the film and television works that stand out in the box office war, and pay special attention to the China films! Among the top ten box office in the world, the tenth is Wicked, a film adapted from Broadway musical, which made an extraordinary start with a box office score of $480 million. The film tells the legendary experience of the witch in the story of The Wizard of Oz and shows the complex relationship between good and evil. Although this film is very popular in the North American market, it seems unaccustomed in China, and it only earned more than 10 million RMB at the box office in one week, which is really embarrassing. YOLO, in ninth place, became the only China film in the global box office list, with a box office of 496 million dollars. This film, starring Jia Ling, is very popular in this year’s Spring Festival. It tells the story of Du Leying, a nobody, who decided to find self-worth through losing weight and struggling after being bullied. Although the outside world is controversial about the quality of its production and thinks that it depends more on marketing, the success of the box office undoubtedly proves the support of the audience. Then came the animated blockbuster Moana 2, which earned $544 million at the box office worldwide, but its performance in China was not satisfactory, with only 77 million RMB. The film continues the success of the first film and still attracts family audiences who like adventure and exploration. Unfortunately, it failed to get the due response in the China market. Kung fu panda 4, ranked seventh, failed to continue the glory of the first three films, with a box office of $550 million. In the China market, the income of 330 million yuan is still qualified, but compared with the highlights of the previous films, it seems that there is some lack of sincerity. Although the film combines strong elements of China culture, it seems difficult to impress the audience. The sixth place was Godzilla vs. king kong 2: The Rise of the Empire. The whole film easily locked in the market with a box office of $580 million. This film not only ensured the visual effect and shocking scenes, but also attracted a large number of fantasy and adventure audiences, and became another hot spot after the epidemic. With the release of "Venom: The Last Dance", the box office of the film reached 588 million US dollars. Although it performed well in the China market and even earned 680 million RMB, the praise was not so satisfactory. Next in fourth place was Dune 2, which made $782 million at the box office. Despite its mediocre performance in China, its reputation in various places has gradually improved, which has become a hot topic for fans of original works and science fiction. And "Daddy Thief 4" re-appeared, with a box office of $1 billion, and the family audience is still the main force of its strong support. The performance in China market was also remarkable, reaching 382 million box office. Surprisingly, Deadpool and Wolverine, which ranked second at the box office, triggered a craze with a box office of $1.329 billion and became another successful work of Marvel Comics. In the end, the eye-catching "Brain Agents 2" locked the champion in 2024 with a box office achievement of $1.757 billion. When telling the emotional changes in adolescence, this film has captured the hearts of countless audiences with exquisite pictures and delicate emotions, although its box office performance in China is still ordinary, only 350 million RMB. To sum up, the wonderful films in the global box office list in 2024 have their own merits. Although the performance of China film YOLO is not satisfactory in the world, it proves the position of local films in the hearts of domestic audiences. In the future, we expect more high-quality China films to break into the international market, bringing more touches and surprises to the audience! Continue reading » Tianjin Mercedes-Benz GLE coupe new energy price reduction news! Special offer 772,000, only this time 2025年11月29日 | admin | A1 Welcome to the Autohome Tianjin promotion channel to provide you with the latest car purchase information. At present, the high-profile model is ushering in an unprecedented promotion. In Tianjin, Mercedes-Benz dealers have launched a cash discount of up to 74,000 yuan for this attractive new energy model, which has reduced the minimum selling price to 772,000 yuan. This discount margin is a good opportunity not to be missed. For consumers who are interested in purchasing Mercedes-Benz GLE coupe new energy, click the "Check Car Price" button in the quotation form to seize this rare car purchase opportunity and get higher preferential treatment. Mercedes-Benz GLE Coupe New Energy redefines the aesthetic standard of luxury SUVs in a modern design language. Its front face is designed with smooth lines, blending power and elegance, and the large-scale chrome trim outlines the eye-catching air intake grille, exuding a unique luxury temperament. The side of the body is full of dynamic curves, and the low roof line and streamlined profile give it a coupe-like dynamic. Overall style, GLE Coupe New Energy fuses tradition and innovation, demonstrating the Mercedes-Benz brand’s deep insight and persistent pursuit of future travel. Mercedes-Benz GLE Coupe New Energy highlights its unique design aesthetic with elegant and smooth side lines. The body size is 4955mm x 2018mm x 1716mm, and the wheelbase is up to 2935mm, providing ample support for the interior space. The tire size is 275/50 R20, which is unified front and rear, which not only ensures the stability of driving, but also further enhances the visual impact of the vehicle. The contour design of the side of the car is carefully carved, showing the perfect combination of luxury and sports, which is unforgettable. The interior design of Mercedes-Benz GLE Coupe New Energy upholds the perfect fusion of luxury and technology. In the cockpit, an exquisite leather-wrapped steering wheel is used to provide a comfortable feel, while supporting manual and electric up and down + front and rear adjustment to ensure the best operation convenience. The 12.3-inch central control screen stands in the center of the dashboard, clear and easy to operate, integrating multimedia systems, navigation, telephone and air conditioning functions, bringing the driver an intelligent driving experience. In terms of seats, the seat materials include imitation leather and genuine leather, providing good ride comfort. The main and passenger seats support multi-directional adjustment, including front and rear, backrest, high and low and waist support, and are equipped with heating and ventilation functions to ensure the comfort of long-distance driving. In addition, the car is also equipped with a wireless charging function for mobile phones, providing passengers with a convenient charging solution for electronic devices. Mercedes-Benz GLE Coupe New Energy is equipped with a 2.0T turbocharged engine with a maximum power of 155 kilowatts, 350 Nm of peak torque, and can output 211 horsepower. This engine is paired with an efficient 9-speed automatic transmission to provide a smooth driving experience for the vehicle. Summarizing the full text, Mercedes-Benz GLE Coupe New Energy, as a model that combines luxury, performance and environmental protection concepts, has always been loved by consumers for its excellent driving experience and forward-looking technology configuration. The recent price reduction promotions have undoubtedly provided consumers with better car purchase options and benefits. Seize this opportunity, you can not only have an excellent new energy car, but also enjoy the dignity and quality brought by the Mercedes-Benz brand. Don’t wait for me, come to the authorized Mercedes-Benz dealer, let Mercedes-Benz GLE Coupe New Energy become your new partner for green travel, and start a new chapter of your luxury new energy life! Continue reading » Will robots replace people？ Where is the next vent？ Listen to what BAT coffee says. 2025年11月26日 | admin | A1 　　CCTV News:Another year, the world Internet once again entered "Wuzhen Time". On December 3-5, the 4th world internet conference was held in Wuzhen, Zhejiang. 　　The theme of this conference is "Developing Digital Economy and Promoting Open Sharing — Working together to build a community of cyberspace destiny "is the theme, and 20 sub-forums are set up, involving hot issues such as digital economy, cutting-edge technology, Internet and society, cyberspace governance, exchanges and cooperation. 　　Ma Yun, Ma Huateng, Li Yanhong and other Internet café s all chatted? What important information was released? 　　Ma Yun: Robots will replace most mechanical work. 　　"New technology is not to make people unemployed, but to make people do more valuable things, to make people not repeat themselves, but to innovate and make people’s work evolve." 　　Ma Yun, chairman of Alibaba’s board of directors, believes that instead of worrying about technology taking away jobs, it is better to embrace technology and solve new problems. Human beings have unique creativity, so they should have confidence, and it is impossible for machines to surpass human beings. 　　Ma Yun said that only by becoming a "community of destiny" and building a "community of destiny" can mankind meet the new era and challenges together. 　　A series of problems faced by mankind are common, and the global industrial chain will definitely change completely, not containers, but small express, not Made In China or Made In America, but Made In Internet, not B2C, but C2B. 　　Ma Yun said, more importantly, in the next 30 years, the manufacturing industry will no longer be the engine of employment, and the future manufacturing industry will be the service industry, and the future service industry must also be a new type of manufacturing industry. 　　becauseMachines will take the place of most mechanical jobs. Machine Learning and Artificial intelligence will definitely make robots take the place of many people’s jobs, while human beings will engage in more creative, creative and experienced jobs, and the service industry will definitely become the main source of future employment. 　　Ma Huateng: China enterprises need to become drivers and contributors of new technologies. 　　Ma Huateng, Chairman and CEO of Tencent, said: If Tencent wants to become an Internet-based technology and culture company, the most crucial thing is innovation. 　　"In the past, China enterprises mainly played the role of followers of new technologies, but today we need to be drivers and contributors of new technologies and work together with global partners to develop synergistically." 　　Ma Huateng said: "We open the latest technology to enterprises through Tencent Cloud; Promote the development of cultural and creative industries through the content open platform. In the future, more scientific and cultural products will go to the world through the digital Silk Road. " 　　Li Yanhong: The demographic dividend of the Internet is gone, but there is still a technology dividend. 　　Li Yanhong, Chairman and CEO of Baidu Company, provided a set of data in his speech: 　　"In the past four years, the growth rate of Internet users in China was slower than that of GDP in China, which means that the demographic dividend of the Internet is gone." 　　Although the demographic dividend has ended, Li Yanhong believes that the continuous increase in the number of netizens, online time and online information has promoted the rapid development of the Internet industry and the progress of artificial intelligence technology. 　　Therefore,"There is no demographic dividend and technical dividend. Technological innovation represented by artificial intelligence will continue to promote the development of the digital economy." 　　Li Yanhong believes that,The driving force of the future development of digital economy is artificial intelligence, and compared with the past Internet technology, artificial intelligence has a great feature, that is, it has the ability of vertical integration. 　　He took Baidu Apollo platform as an example. Based on autonomous driving technology, Apollo can involve different companies and even different industries in the upstream and downstream of the industrial chain, and many fields will benefit from it. Based on this, Li Yanhong believes that the development of artificial intelligence technology will promote the continuous progress of technology and society. 　　What’s the next outlet? Zhang Chaoyang pointed to the consumer Internet. 　　The internet industry is in full swing, where will the next outlet be? Zhang Chaoyang, Chairman of Sohu Board of Directors, said: 　　"The biggest feature of China is that there are many people and netizens. If you want to do what you want to do most successfully in China, you must do Internet consumption, business for end users, entertainment, leisure, communication and information distribution. Knowledge is the most important field." 　　In the Internet age, the future social knowledge will become more accurate, the granularity will be more refined, everyone will be smarter, and the communication efficiency will be high. The life of modern people is really exploding in an order of magnitude. 　　Shen Nanpeng: The collapse of bike-sharing is very positive. 　　Recently, there have been frequent negative news about sharing economy. Some people even say that sharing economy is the biggest lie in the 21st century, and sharing economy is a false proposition. 　　As an investor, Shen Nanpeng, global managing partner of Sequoia Capital, also gave his own views in an interview. 　　In view of the collapse of bike-sharing, Shen Nanpeng thinks that it is actually very positive and belongs to the survival of the fittest in the development process. At the same time, he thinks that we should give more time and more opportunities to the sharing economy companies. 　　Xu Zhijun: In the future society, 5G will be everywhere. 　　Xu Zhijun, CEO of Huawei, revealed thatHuawei will launch a complete set of 5G network equipment solutions for large-scale business in 2018.Support global operators to deploy 5G networks; In 2019, Kirin chips supporting 5G were launched, and smartphones supporting 5G were launched simultaneously. 　　 "5G can greatly enhance consumers’ mobile Internet experience. For example, with 5G technology, it takes less than 2 seconds to download 6GB HD movies. Secondly, 5G can support the connection of 100 billion objects and provide industrial-grade reliability and real-time. These capabilities make 5G a key foundation for supporting the smooth implementation of industrial strategies such as Industry 4.0 and Made in China 2025." 　　Xu Zhijun said that Huawei expects that 5G will become a universal wireless technology. In the future society, 5G will be everywhere, and all places in human society that need wireless connection will be realized through 5G. Continue reading » These milk teas are not only delicious, but also rich in ancient charm → 2025年11月24日 | admin | A1 In recent years, there have been many kinds of tea shops, and this year, there has been a wave of national milk tea. This kind of milk tea, also known as "new Chinese milk tea", highlights the classical and ethnic charm in packaging and naming. With traditional pure tea as the tea base and fresh milk added, it tastes mellow. Compared with the new milk tea represented by milk cover tea and fresh fruit tea, the new Chinese milk tea seems to have its own cultural attributes, showing full cultural confidence. Go to tea together on weekends. today Xiaohong recommended it to everyone. Several Hongkou New Chinese milk tea with good reputation Overlord tea girl * Bawang Tea Ji, a brand of milk tea from Yunnan, opened its first store in Dragon Dream in Hongkou this year. It is said that Bawang Tea Ji has more than 1,200 stores all over the country and was named "the king of milk tea queuing". The branch in Hongkou is also crowded, and it takes an hour or two to get a cup of milk tea. When it comes to this tea shop, many people prefer Bo Ya Jue Xian. Xiaohong recommended a cup of milk tea with an unpopular but unique flavor-Qingqing Nuoshan. After drinking it, every bite has a rich fragrance of glutinous rice. Jasmine milk white Jasmine milk white, a new brand of milk tea from Guangzhou. In the past two years, this tea shop has blossomed everywhere in Shanghai. Friends who like the fragrance of jasmine tea should not miss the signature milk tea with jasmine milk white. The rich fragrance of jasmine tea and mellow milk taste make it refreshing and fragrant. Tong Han chun cha er si qi Jie cha A century-old brand has also joined the ranks of milk tea, taking the route of national tide milk tea. Tong Hanchun tea combines 24 solar terms, focusing on healthy and unburdened tea. The combination of tea, milk and Chinese herbal medicine can not only quench thirst, but also preserve health. It is recommended to drink peach gum and osmanthus wine, which is rich in milk flavor and fragrant in wine, not sweet or greasy. Danma tea house Danma Tea House is a dark horse in the field of milk tea. Founded four years ago, it focuses on novel fruit tea that combines with niche fruits. Chaoshan Huangpi, Hainan Lianwu and Minnan guava are all minority fruit teas that are deeply loved by customers. This winter, milk tea longan and gardenia buffalo milk with new Chinese style was introduced, with sweet longan and gardenia fragrance, and the evaluation was good. Xicha Xicha is an old-fashioned "queuing king" in the milk tea industry. In order to keep up with the trend of new Chinese milk tea, Xicha has also joined the market of new Chinese milk tea. Shui Yunjian Light Tea Milk Tea, a new product, is very popular among young customers under the banner of ultra-low calorie and no non-dairy creamer. The design of black-and-white ink painting patterns printed the feelings between mountains and rivers on the cup. Which milk tea shop do you like best? Leave a message for Xiaohong quickly Share with netizens Reporter: Huang Yishu Photo: Huang Zhongshu, from the Internet. Original title: "These milk teas are not only delicious, but also rich in ancient charm →" Read the original text Continue reading » The new social security regulations are in force! Latest q&a 2025年11月22日 | admin | A1 Regulations on handling social insurance Since its official implementation on December 1, 2023, Everyone is very concerned about what service measures are available for the convenience and benefit of the people. I shared some social security hot questions and answers with you before. Click the link below to review it ~ The new social security regulations will be implemented today! These hot issues need to be understood, and today we have sorted out some more. Issues of concern to everyone. Come and have a look ~ Q1 What should individuals do if they stop enjoying social insurance benefits as stipulated by the state? When an individual ceases to enjoy social insurance benefits as stipulated by the state, for example, when an individual receiving a basic pension dies or is in prison, the employer, the person enjoying the benefits or their relatives shall inform the social insurance agency within 20 working days from the date of the relevant situation. The social insurance agency shall stop issuing the corresponding social insurance benefits after verification. Q2 How does the social insurance agency verify the eligibility for treatment? The "Regulations" stipulate that social insurance agencies shall verify the eligibility for social insurance benefits through information comparison and self-service certification. If it is impossible to confirm the eligibility of social insurance benefits through information comparison and self-service certification, the social insurance agency may entrust the employer or a third-party institution to verify. At present, local social insurance agencies mainly share data with public security, justice, civil affairs, transportation, health, medical insurance, courts and other departments through internal data comparison, and promote self-service authentication methods such as face recognition to verify the eligibility of social insurance benefits. Q3 What requirements does the Regulations put forward for cross-departmental and cross-regional social insurance handling? The "Regulations" stipulate that social insurance agencies should rely on social insurance public service platforms and medical security information platforms to achieve cross-departmental and cross-regional social insurance management. In recent years, the human and social departments have accelerated the construction of a unified national social insurance public service platform. In 2019, the national social insurance public service platform was put into operation. By the end of September, 2023, the national social insurance public service platform had provided 83 national and trans-regional social insurance services, such as rights inquiry, transfer application, qualification certification, treatment calculation, unemployment insurance benefits application, work injury identification, etc., and realized cross-departmental and trans-regional information sharing and business collaboration from inquiry to business acceptance. Q4 What are the requirements of the Regulations for the construction of social insurance handling system? The "Regulations" stipulate that the administrative departments of human resources and social security and medical security should strengthen the service capacity of social insurance to achieve full coverage of provinces, cities, counties, towns (streets) and villages (communities). China has basically established a five-level social insurance management system and service network from the central government to provinces, cities, counties and towns (streets). By the end of 2022, there were more than 5,300 basic old-age insurance, industrial injury insurance and unemployment insurance agencies nationwide, and the service network covering urban and rural areas was increasingly sound. The function of the grid service platform continued to improve, and the convenience and accessibility of services were significantly improved. Q5 What channels can employers and individuals handle social insurance affairs? Employers and individuals can handle social insurance affairs through government websites, mobile terminals, self-service terminals and other service channels, or go to the social insurance handling window for on-site handling. At present, the national social insurance public service platform, government website, mobile terminal and self-service terminal have become the main channels for employers and individuals to handle social insurance affairs, and high-frequency social insurance services such as social insurance personal rights record inquiry and pension insurance relationship transfer and connection can be handled online. Q6 What convenient services should social insurance agencies provide for special groups such as the elderly and the disabled? The Regulations stipulate that social insurance agencies should strengthen the construction of barrier-free environment, provide barrier-free information exchange, improve barrier-free service facilities and equipment, and provide convenience for special groups such as the elderly and the disabled by means of authorized agency and on-site service. In practice, the convenient services provided by local social insurance agencies for special groups such as the elderly and the disabled mainly include: the service places are equipped with guides, the on-site reception windows are set up, and special groups are given priority; Improve the service of handling the agency and promoting the "one-stop" service; Building barrier-free ramps, setting up barrier-free signs, and providing barrier-free toilets; Provide on-site service for the elderly at home, especially for key groups such as the elderly, seriously ill, disabled and empty nest. Q7 What are the provisions of the Regulations on reducing the proof materials submitted for handling social insurance affairs? On the basis of fully summarizing the experiences and practices of social insurance agencies in various places, the Regulations adhere to the people-centered principle, follow the principles of legality, convenience, timeliness, openness and safety, achieve "all reductions should be made", effectively reduce all kinds of certification materials, and cancel a number of unnecessary certification materials such as marriage certificate, work injury identification conclusion, termination or dissolution of labor relations required by relevant laws, regulations and workflow. Q8 Can employers and individuals inquire about their own social insurance related records? The "Regulations" stipulate that social insurance agencies provide employers and individuals with related services such as inquiring and checking social insurance payment, enjoying social insurance treatment records and social insurance consultation free of charge. Employers and individuals can enjoy online services such as inquiring and checking payment and consulting social insurance treatment records under the social insurance handling window, and can also realize online inquiry of relevant information through national social insurance public service platforms or local social insurance public service platforms, mobile terminals and self-service terminals. Online and offline inquiry and consultation services provided by social insurance agencies are free services. Q9 Why do you want to sign a service agreement with social insurance service agencies? The "Regulations" stipulate that social insurance agencies shall, according to the needs of handling work, negotiate and sign service agreements with qualified institutions to regulate social insurance service behavior. Signing a service agreement is conducive to the certainty and clarity of rights and obligations between social insurance agencies and service agencies, and to the mutual supervision among agencies, service agencies and insured persons. Q10 What are the provisions of the Regulations on the information management of social insurance agencies? The "Regulations" stipulate that social insurance agencies shall properly keep social insurance agency information to ensure that the information is complete, accurate and safe. Social insurance handling information is related to the legitimate rights and interests of employers and individuals. Social insurance handling institutions should record social insurance handling information in a timely, complete and accurate manner and keep it properly to prevent information from being leaked, tampered with or lost. Q11 What are the provisions of the Regulations on the internal control of social insurance agencies? The Regulations stipulate that social insurance agencies shall establish and improve internal control systems such as business, finance, safety and risk management. The social insurance agency shall regularly inspect and evaluate the formulation and implementation of the internal control system, and rectify the problems found. Q12 What matters should the social insurance agency check? The "Regulations" stipulate that social insurance agencies shall check the following matters: (1) Social insurance registration and treatment enjoyment; (two) the social insurance service institutions to fulfill the service agreement, the implementation of cost settlement items and standards; (3) Other matters stipulated by laws and regulations. In practice, social insurance agencies take the methods of daily verification, key verification and report verification, and carry out verification on social insurance registration and treatment enjoyment, social insurance service institutions’ performance of service agreements, and implementation of expense settlement items and standards according to laws and regulations, which has played an important role in maintaining the security of social security funds. Q13 How does the social insurance agency handle the violation of the service agreement by the social insurance service agency? Social insurance service institutions shall provide services in accordance with the service agreement and the relevant provisions of the state, and social insurance agencies shall manage social insurance service institutions through the service agreement. If the social insurance agency finds that the social insurance service institution violates the service agreement, it can urge it to perform the service agreement, suspend or not allocate the fees, recover the illegal fees, suspend the social insurance services involving the use of social insurance funds by the relevant responsible personnel or departments in accordance with the service agreement, until the service agreement is terminated; Social insurance service institutions and their relevant responsible personnel have the right to make statements and defend themselves. Q14 How do social insurance agencies deal with violations of social insurance laws, regulations and rules? Social insurance agencies shall order employers, individuals and social insurance service agencies to make corrections if they find that they violate social insurance laws, regulations and rules. Those who refuse to make corrections or should be handled by the administrative departments of human resources and social security and medical security according to law shall be handed over to the administrative departments of human resources and social security and medical security for handling in time. Q15 What are the provisions of the Regulations on the credit management of social insurance? The "Regulations" stipulate that the administrative departments of human resources and social security and medical security in the State Council shall, jointly with relevant departments, establish a social insurance credit management system, and clarify the criteria for identifying the list of serious untrustworthy subjects in the social insurance field. Social insurance agencies shall truthfully record the acts of dishonesty of employers, individuals, social insurance service institutions and their staff in violation of social insurance laws and regulations. Q16 Do individuals need to return the social insurance benefits they have enjoyed? Need. The "Regulations" stipulate that individuals who enjoy more social insurance benefits shall be ordered to return by social insurance agencies. For individuals who enjoy more social insurance benefits, in principle, they should be returned in one lump sum. If it is difficult to return it at one time, a repayment agreement can be signed to return it by stages, or it can be deducted from the social insurance benefits or personal account balance it enjoys later. Q17 Does the individual have the obligation to cooperate with and accept the supervision and inspection in the field of social insurance? Yes. The Regulations stipulate that the administrative departments of human resources and social security and medical security shall, in accordance with their respective duties, strengthen the supervision and inspection of social insurance service institutions, employers and individuals’ compliance with social insurance laws, regulations and rules. Social insurance service institutions, employers and individuals shall cooperate with each other, truthfully provide information related to social insurance, and shall not refuse to check or make false or concealed reports. Q18 Can employers and individuals supervise social insurance handling? Sure. The "Regulations" stipulate that the administrative departments of human resources and social security and medical security should unblock the channels of supervision and encourage and support all sectors of society to supervise the handling of social insurance. Social insurance agencies shall regularly announce to the public the participation in social insurance and the income, expenditure, balance and income of social insurance funds, listen to the opinions and suggestions of employers and individuals, and accept social supervision. Q19 Can individuals report violations of social insurance laws and regulations? The "Regulations" stipulate that any organization or individual has the right to report and complain about violations of social insurance laws, regulations and rules. The administrative department of human resources and social security and the administrative department of medical security shall handle the reports and complaints received about social insurance according to law. According to the relevant regulations, the administrative department of human resources and social security shall, after receiving the report, conduct a review within 5 working days, and transfer the report that the department does not have jurisdiction to the administrative department of human resources and social security that has jurisdiction, and inform the real-name whistleblower of the transfer destination. The administrative department of human resources and social security shall, within 10 working days from the date of receiving the report, inform the real-name whistleblower with notification requirements through paper notice, e-mail or SMS. Q20 How do employers and individuals safeguard their social insurance rights and interests? The "Regulations" stipulate that employers and individuals may apply for administrative reconsideration or bring an administrative lawsuit in accordance with the law if they think that social insurance agencies infringe upon their social insurance rights and interests in social insurance handling. Infringement of social insurance rights and interests mainly includes: social insurance agencies do not handle social insurance registration, pay social insurance benefits, handle social insurance transfer and connection procedures or infringe other social insurance rights and interests according to law. Q21 How to deal with the disclosure of social insurance information of employers and individuals? The Regulations stipulate that the administrative departments of human resources and social security, medical security, social insurance agencies and their staff shall protect the information of employers and individuals according to law and shall not disclose it in any form. "Leak" includes both the behavior caused by a kind of intention subjectively and the behavior caused by negligence. The "Regulations" stipulate that if the administrative department of human resources and social security, the administrative department of medical security, the social insurance agency and its staff disclose the employer and personal information, the responsible leaders and the directly responsible personnel shall be punished according to law; If losses are caused to the employing unit or individual, it shall be liable for compensation according to law. Q22 What kind of consequences should fraudulent insurance bear? Fraud, forgery of certification materials or other means to defraud the social insurance fund expenditures have many situations, for example, illegal one-time payment, illegal early retirement, taking the social insurance benefits of the deceased, enterprises defrauding the unemployment insurance to return it, individuals defrauding unemployment insurance benefits, and industrial injury insurance agreement service agencies defrauding the fund. The "Regulations" stipulate that if the social insurance fund expenditure is defrauded by fraud, forged certification materials or other means, the administrative department of human resources and social security and the administrative department of medical security shall order it to be returned according to their respective duties and impose a fine of more than 2 times and less than 5 times the amount defrauded; Belonging to the designated medical institutions, it shall be ordered to suspend the social insurance services involving the use of social insurance funds for more than 6 months and less than 1 year, until the service agreement is terminated by the social insurance agency; If it belongs to other social insurance service institutions, the social insurance agency shall terminate the service agreement. Responsible leaders and directly responsible personnel who have professional qualifications shall be revoked by the relevant competent departments according to law. Original title: "The new social security regulations are in force! Latest Q&A Read the original text Continue reading » 315 shareholders’ rights protection ｜ Many investor claims ushered in a successful judgment! The statute of limitations of these companies is only one year. 2025年11月18日 | admin | A1 Source: Sina Securities 　　Damaged shareholders can register the company’s rights protection on Sina shareholders’ rights protection platform: http://wq.finance.sina.com.cn/. 　　Pay attention to @ Sina Securities, WeChat pay attention to Sina brokerage fund, Baidu search Sina shareholders’ rights protection, visit Sina Finance client and Sina Finance homepage to find us! 　　Looking back on 2023, a series of landmark investor rights protection cases have been decided one after another, and the protection of the legitimate rights and interests of small and medium-sized investors has been deepening to reality. In December last year, 12 defendants, including investors v. Zeda Yisheng, a listed company in science and technology innovation board, and their controllers, senior executives and intermediaries, were involved in the dispute over securities misrepresentation, and 7,195 eligible investors received full compensation of more than 280 million yuan. This case is the first lawsuit involving the special representative of a listed company in science and technology innovation board in China, and the first case of class action settlement of China securities. 　　In addition to Zeda Yisheng, investors sued Modern Avenue, Julong, Hongda New Materials, Hejia Medical, Guangzhou Langqi (Cotton Tree) and other securities for false statements, and investors received corresponding compensation last year. 　　On January 21st, 2022, the Supreme People’s Court promulgated the new judicial interpretation of Several Provisions on the Trial of Civil Compensation Cases of False Statement Infringement in the Securities Market, which replaced the Old Provisions on False Statement which had been implemented for nearly 20 years. 　　It is worth noting that the provisions of the old and new judicial interpretations on the limitation of action have changed significantly. In order to avoid the situation that investors can’t get compensation because they don’t claim their rights in time, Sina Shareholders’ Rights Protection Platform hereby sorts out the cases in which the limitation of action will expire within one year, and many of them have precedents for investors to win the case and get compensation. Eligible shareholders need to pay close attention to them and actively participate in safeguarding their rights and interests! 　　The following cases are sorted by the expiration date of the statute of limitations from near to far: 　　1. Expiration date of the limitation of action of Tianshan Biological 300313: April 9, 2024. 　　[Case Progress]: Effective judgment has been made. 　　[Claim Interval]: I bought the stock from November 14, 2017 to January 24, 2019, and still held it at the close of January 24, 2019. 　　2. Expiration date of the limitation of action of Chengxing 600078: April 10, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from January 1, 2020 to April 9, 2021, and still held them at the close of April 9, 2021. 　　3. Expiration date of the limitation of action of Julong 300202: April 12, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from August 23, 2016 to April 12, 2021 and still held it at the close of April 12, 2021. 　　4. Expiration date of the limitation of action of Ankong Technology 300370: April 23, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: The stock was bought between May 29th, 2020 and April 22nd, 2021, and it was still held at the close of April 22nd, 2021. 　　5. Expiration date of the statute of limitations of Jiyao Holdings 300108: April 24, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from August 18, 2020 to April 23, 2021 and still held it at the close of April 23, 2021. 　　6. Expiration date of the limitation of action for Danbang’s withdrawal of 002618: April 27, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 26th, 2019 to April 21st, 2022, and still held it at the close of April 21st, 2022. 　　7. Expiration date of the limitation of action of Ronglian Technology 002642: April 28, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 20, 2017 to April 27, 2021 and still held it at the close of April 27, 2021. 　　8. Expiration date of the limitation of action of Guangyi Technology 300356: April 28, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from March 10, 2020 to April 27, 2021, and still held it at the close of April 27, 2021. 　　9. Cedar Development 002485 Expiration date of limitation of action: April 29, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim range]: the stock was bought from April 16, 2019 to April 28, 2021, and it was still held at the close of April 28, 2021. 　　10. Expiration date of limitation of action for Qibu shares 603557: April 29, 2024. 　　[Case Progress]: Lost in the second instance 　　[Claim Interval]: I bought the stock from April 17, 2019 to April 28, 2021 and still held it at the close of April 28, 2021. 　　11. Expiration date of limitation of action for Sichuang Yihui 300078: April 29, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from February 7, 2018 to April 29, 2021 and still held it at the close of April 29, 2021. 　　12. Expiration date of statute of limitations for Saiwei Intelligent 300044: April 29, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 23, 2019 to April 28, 2021, and still held it at the close of April 28, 2021. 　　13. Expiration date of the statute of limitations of Guangdong Media 002181: April 30, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim Interval]: I bought the stock from October 28th, 2013 to October 19th, 2016 and still held it at the close of October 19th, 2016. 　　14. Expiration date of the limitation of action of HNA Investment 000616: April 30, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from September 14, 2016 to April 29, 2021 and still held it at the close of April 29, 2021. 　　15. Expiration date of limitation of action for Haiyue Energy 600387: April 30, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim Interval]: I bought stocks from February 27th, 2020 to April 29th, 2021, and still held them at the close of April 29th, 2021. 　　16. Expiration date of the limitation of action of Meishang Ecology 300495: April 30, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from December 22, 2015 to April 29, 2021, and still held it at the close of April 29, 2021. 　　17. Expiration date of the statute of limitations for Guangdong Mingzhu 600382: April 30, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought stocks from March 9, 2017 to April 29, 2021, and still held them at the close of April 29, 2021. 　　18. Expiration date of limitation of action for Kao 603007: April 30, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: Buy stocks from April 30, 2020 to April 29, 2021, and still hold them at the close of April 29, 2021. 　　19. Expiration date of the limitation of action of Songyang Resources 603863: April 30, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from June 21, 2019 to April 29, 2021, and still held it at the close of April 29, 2021. 　　20. Expiration date of the limitation of action of Zhongchuang Environmental Protection 300056: May 2, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim interval]: (1) It was bought between March 3, 2016 and April 5, 2017, and it was still held at the close of April 5, 2017; 　　(2) It was bought from April 29, 2017 to December 22, 2017, and it was still held at the close of December 22, 2017. 　　21. Guangdong Rongtai 600589 Expiration date of limitation of action: May 15, 2024. 　　[Case Progress]: Compensation can be obtained through mediation. 　　[Claim interval]: I bought the stock from April 23, 2019 to May 21, 2020, and still held it at the close of May 21, 2020. 　　22. Expiry date of limitation of action for Yijian shares 600093: May 15, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 25th, 2016 to May 14th, 2021, and still held it at the close of May 14th, 2021. 　　23. Expiration date of the limitation of action of Liyuan Refinery 002501: May 27, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: I bought the stock between March 30, 2016 and May 26, 2021, and still held it at the close of May 26, 2021. 　　24. Expiration date of limitation of action of Shanghai Electric 601727: May 31, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from March 27th, 2021 to May 30th, 2021, and still held them at the close of May 30th, 2021. 　　25. Expiration date of the limitation of action of Riskonda 603803: June 2, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: Buy stocks between April 24, 2020 and June 1, 2021, and sell them after June 1, 2021. 　　26. Expiration date of citic guoan 000839 statute of limitations: June 3, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from February 6, 2010 to May 17, 2020, and still held it at the close of May 17, 2020. 　　27. Expiration date of the statute of limitations of Huayi Electric 600290: June 9, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from May 24, 2017 to November 24, 2019, and still held it at the close of November 24, 2019. 　　28. Expiration date of the limitation of action of Tongzhou Electronic 002052: July 9, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim interval]: I bought the stock from April 29th, 2016 to October 25th, 2019, and still held it at the close of October 25th, 2019. 　　29. Expiration date of the limitation of action of Guorui Technology 300600: July 13, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 26th, 2021 to July 12th, 2021, and still held it at the close of July 12th, 2021. 　　30. Hua Xun Ark 000687 Expiration date of limitation of action: July 14, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from August 17, 2016 to October 26, 2020, and still held them at the close of October 26, 2020. 　　31. Xinhaiyi 002089 Expiration date of limitation of action: July 14, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from March 20, 2015 to July 13, 2021 and still held it at the close of July 13, 2021. 　　32. Rendong Holdings 002647 Expiration date of limitation of action: July 15, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim Interval]: I bought stocks from April 28th, 2020 to July 14th, 2021, and still held them at the close of July 14th, 2021. 　　33. The expiration date of the limitation of action of Kaile Technology 600260: July 24, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: I bought the stock from April 19, 2017 to July 23, 2021 and still held it at the close of July 23, 2021. 　　34. Expiration date of the limitation of action of Zhongli Group 002309: July 29, 2024. 　　[Case Progress]: Not accepted. 　　[Claim interval]: (1) Buying stocks between January 1, 2021 and April 26, 2022, and still holding them at the close of April 26, 2022; 　　(2) Buying stocks between the time of listing and July 28, 2021, and still holding them at the close of July 28, 2021; 　　(3) Buy stocks from the time of listing to November 8, 2022, and still hold them at the close of November 8, 2022. 　　35. Expiration date of the limitation of action of Kangni Electromechanical 603111: July 31, 2024 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from March 24, 2017 to August 22, 2018 and still held it at the close of August 22, 2018. 　　36. Expiration date of the limitation of action of Kanglongda 603665: August 1, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 28th, 2021 to August 1st, 2021, and still held it at the close of August 1st, 2021. 　　37. Juli Culture 002247 Expiration date of limitation of action: August 3, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from April 28th, 2017 to April 25th, 2019 and still held it at the close of April 25th, 2019. 　　38. Expiration date of the limitation of action of Xinjiang Haoyuan 002700: August 4, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim interval]: I bought stocks from March 30, 2019 to April 13, 2020, and still held them at the close of April 13, 2020. 　　39. Expiration date of statute of limitations for Zixin Pharmaceutical 002118: August 7, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from November 28th, 2018 to August 6th, 2021, and still held it at the close of August 6th, 2021. 　　40. Jiangsu Shuntian 600287 Expiration date of limitation of action: August 18, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 13th, 2010 to August 17th, 2021, and still held it at the close of August 17th, 2021. 　　41. Expiration date of the limitation of action for Yongan Forestry 00663: August 24, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 28th, 2017 to April 29th, 2019 and still held it at the close of April 29th, 2019. 　　42. Expiration date of the limitation of action for 300526 shares of Zhongqian Company: September 1, 2024. 　　[Case Progress]: Compensation can be obtained through mediation. 　　[Claim Interval]: Buy stocks between March 13, 2020 and October 20, 2020, and still hold them at the close of October 20, 2020. 　　43. Expiration date of the limitation of action of Huayu Software 300271: September 1, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from March 22, 2021 to August 29, 2021, and still held it at the close of August 29, 2021. 　　44. The Great Wall of Culture 300089 Expiration date of limitation of action: September 2, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from April 11, 2017 to April 29, 2019 and still held it at the close of April 29, 2019. 　　45. Expiration date of the limitation of action of Baling Technology 002592: September 3, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: Buy stocks between April 30, 2020 and May 22, 2020, and still hold them at the close after May 22, 2020. 　　46. Expiration date of the limitation of action of Omar Electric 002668: September 4, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim range]: Buy stocks from the time of listing to September 4, 2021, and still hold them at the close of September 4, 2021. 　　47. Expiration date of the limitation of action of Shenzhen Datong 000038: September 7, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 15, 2017 to September 6, 2021 and still held it at the close of September 6, 2021. 　　48. Expiration date of limitation of action for Great Wall Animation 000835: September 14, 2024. 　　[Case Progress]: There has been a successful judgment. 　　[Claim Interval]: I bought the stock from December 6, 2017 to June 23, 2020, and still held it at the close of June 23, 2020. 　　49. Jinzhou Cihang 000587 Expiration date of limitation of action: September 18, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from June 1, 2015 to September 17, 2021, and still held them at the close of September 17, 2021. 　　50. Cody withdrew 002770. Expiration date of limitation of action: September 22, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: I bought the stock from April 8, 2017 to August 16, 2019 and still held it at the close of August 16, 2019. 　　51. Expiration date of hua ding shares 601113 statute of limitations: October 13, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from January 1, 2018 to August 30, 2019, and still held it at the close of August 30, 2019. 　　52. Daily Interaction 300766 Expiration date of limitation of action: October 19, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from October 28th, 2019 to December 14th, 2020, and still held it at the close of December 14th, 2020. 　　53. Expiration date of the limitation of action of Helen Zhe 300201: October 25th, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 26th, 2017 to October 25th, 2021, and still held it at the close of October 25th, 2021. 　　54. Expiration date of the limitation of action of Beijing Culture 000802: November 3, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from March 22, 2019 to April 29, 2020, and still held it at the close of April 29, 2020. 　　55. Expiration date of the limitation of action of Shagang Co., Ltd. 002075: November 3, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from March 31, 2020 to November 2, 2021, and still held them at the close of November 2, 2021. 　　56. Expiration date of the limitation of action of Dewei New Materials 300325: November 5, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 27th, 2019 to July 8th, 2020, and still held it at the close of July 9th, 2020. 　　57. Expiration date of statute of limitations for Xinyan Co., Ltd. 300159: November 8, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from April 19th, 2016 to November 8th, 2021, and still held it at the close of November 8th, 2021. 　　58. Expiration date of the limitation of action of Yihua Life 600978: November 9, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from April 22, 2017 to April 26, 2020 and still held it at the close of April 26, 2020. 　　59. Expiration date of the limitation of action of Haohua Energy 601101: November 11, 2024. 　　[Case Progress]: The case was won in the first instance and can be compensated through mediation. 　　[Claim Interval]: I bought the stock from February 11, 2015 to December 27, 2019, and still held it at the close of December 27, 2019. 　　60. Expiration date of limitation of action of Linzhou Heavy Machinery 002535: November 16, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from August 25th, 2020 to November 15th, 2021, and still held them at the close of November 15th, 2021. 　　61. The expiration date of the limitation of action for 002471 of Zhongchao Holdings: November 23, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: I bought stocks from August 13, 2018 to November 22, 2021, and still held them at the close of November 22, 2021. 　　62. Expiration date of statute of limitations for future shares 600532: November 24, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from August 18, 2016 to April 13, 2018 and still held it at the close of April 13, 2018. 　　63. Expiration date of Hua Hong Jitong 300330 statute of limitations: November 26, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought stocks from April 12, 2018 to November 26, 2021, and still held them at the close of November 26, 2021. 　　64. Expiration date of the limitation of action for Tengbang to withdraw 300178: December 2, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: I bought the stock from February 8, 2017 to December 2, 2021, and still held it at the close of December 2, 2021. 　　65. Expiration date of the limitation of action for Busen 002569: December 4, 2024. 　　[Case Progress]: Compensation can be obtained through mediation. 　　[Claim Interval]: I bought the stock from September 12, 2019 to December 3, 2021 and still held it at the close of December 3, 2021. 　　66. Expiration date of the limitation of action of SDIC Zhonglu 600962: December 4, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: I bought the stock from March 29th, 2018 to December 3rd, 2021, and still held it at the close of December 3rd, 2021. 　　67. Expiration date of the limitation of action of Shida Group 600734: December 10, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim interval]: I bought the stock between April 30, 2019 and September 17, 2021, and still held it at the close of September 17, 2021. 　　68. Expiration date of the limitation of action of Zhonggong Education 002607: December 17, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim Interval]: Buy stocks between March 10, 2020 and November 30, 2021, and still hold them at the close of November 30, 2021. 　　69. tiancheng holdings 600112 Expiration date of limitation of action: December 21, 2024. 　　[Case Progress]: The case was won in the first instance, and the mediation was awarded. 　　[Claim Interval]: I bought the stock from January 25, 2017 to April 22, 2019 and still held it at the close of April 22, 2019. 　　70. Expiration date of statute of limitations of Pengxin Resources 600490: December 24, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim Interval]: I bought the stock from February 28th, 2019 to April 24th, 2019 and still held it at the close of April 24th, 2019. 　　71. Expiration date of the statute of limitations of Beite Technology 603009: December 24, 2024. 　　[Case Progress]: Compensation can be obtained through mediation. 　　[Claim Interval]: I bought the stock from April 29th, 2019 to April 20th, 2021, and still held it at the close of April 20th, 2021. 　　72. Expiration date of the limitation of action of Xinchao Energy 600777: December 25, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from October 8, 2017 to December 18, 2018 and still held it at the close of December 18, 2018. 　　73. Expiration date of the limitation of action for Tianxiatui 000662: December 27, 2024. 　　[Case Progress]: No judgment has been made. 　　[Claim interval]: it was bought between August 30, 2016 and April 26, 2020, and it was still held at the close of April 27, 2020. 　　74. Expiration date of the limitation of action of Zhongrun Resources 000506: December 28, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim Interval]: I bought the stock from July 13, 2016 to April 26, 2018 and still held it at the close of April 26, 2018. 　　75. Expiration date of the limitation of action of Yiyang Xintong 600289: December 29, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Range]: I bought stocks from January 8, 2016 to December 7, 2017, and still held them at the close of December 7, 2017. 　　76. Expiration date of the limitation of action for Busen shares 002569: December 29, 2024. 　　[Case Progress]: Not accepted. 　　[Claim interval]: (1) Buying stocks between August 30, 2021 and December 28, 2021, and still holding them at the close of December 28, 2021; 　　(2) Buying stocks between January 18, 2022 and April 21, 2022, and still holding them at the close of April 21, 2022; 　　(3) Buy stocks from April 2, 2022 to April 15, 2022 and still hold them at the close of April 15, 2022. 　　77. Expiration date of the limitation of action of Guangzhou Langqi/Hongmian Co., Ltd. 000523: December 29, 2024. 　　[Case Progress]: The second trial won the case 　　[Claim interval]: I bought the stock between April 30, 2019 and September 27, 2020, and still held it at the close of September 27, 2020. 　　78. Expiration date of limitation of action of Landun 300297: December 29, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from April 26th, 2018 to December 29th, 2021, and still held it at the close of December 29th, 2021. 　　79. Expiration date of the limitation of action of teng letter 300392: December 30, 2024. 　　[Case Progress]: The case was won in the first instance. 　　[Claim Interval]: I bought the stock from March 19, 2019 to May 24, 2019 and still held it at the close of May 24, 2019. 　　80. Expiration date of limitation of action for delisting Fukong 600634: December 31, 2024. 　　[Case Progress]: Not accepted. 　　[Claim Interval]: I bought the stock from March 29th, 2014 to January 18th, 2018, and still held it at the close of January 18th, 2018. Reporting/feedback Continue reading » The Return of the King, Toyota’s 16th Generation New Crown Four-Car Launch 2025年11月17日 | admin | A1 　　The Crown, which can be said to be one of Toyota’s oldest classic models, can also be said to have witnessed the growth of Toyota and become one of the most popular Japanese cars in the world. Now the Crown has evolved to the 16th generation and started to create a new story. 　　Based on the concept of "innovation and challenge", on July 15, Toyota released the new crown, and the four models of the all-electric series present the crown characteristics of the new era of automotive revolution, which will provide global consumers with a new experience. 　　Bright history 　　Tracing the history of the Crown is like flipping through the history of the development of Japanese cars, which was the founding era of Toyota. Ninety years ago, the founder Kiichiro Toyoda decided to accept the challenge and enter the automobile industry. He embarked on an ambitious dream of building a car. His dream of a domestic passenger car was finally mass-produced in January 1952, 15 years after the company was established. He named the car "Crown". 　　In 1957, the Crown entered the Australian Rally, becoming the first Japanese car to compete in an international rally. Soon after, Toyota took the bold step of exporting it to the United States for the first time, marking the beginning of Japanese passenger car exports. 　　The third-generation Crown was launched in 1967, when personal car purchases in Japan began to take off. Toyota introduced the widely known White Crown, which became an important driving force for the development of Japanese automobiles. 　　Over the next two decades, the Crown grew into something that consumers sought after. Introduced in 1971, the fourth-generation model boldly adopted new styling and created a new image in the face of increased competition from foreign models. However, some quality issues caused sales of the Crown to struggle, and Toyota has learned from this and has always kept it in mind: that the Crown must first meet the core needs of customers. 　　Since then, Toyota’s chief engineers have carefully balanced innovation and customer expectations in their pursuit of the crown, a philosophy that has been successful with the seventh and eighth generations of the crown, which became a status symbol with the slogan "Someday, a crown," followed by the eighth generation, which recorded the highest sales in history. At this time, the crown has undoubtedly become the representative flagship of Japanese cars. But it also reached its peak at that time. 　　Since the ninth generation, Toyota has entered a difficult transition. 　　The first was a change in the positioning of the Crown within Toyota. In 1989, the Lexus LS model was sold in North America in September. In Japan, because Toyota did not have a Lexus sales network, the LS was sold under the name Toyota Celsior. This change was a major turning point in the history of the Crown. 　　In 1991, after the bubble economy burst, Japan’s economy fell into recession, which reduced demand for luxury cars. At the same time, competition from imported cars intensified. The ninth and tenth generation of the Crown had to face these severe headwinds and enter a transition period. 　　In the early 2000s, Toyota accelerated its foray into overseas markets, pursuing a larger sales and production scale. This gradually led to a preference for more profitable models and markets. 　　Fears grew that the model might be discontinued as sales of the crown dwindled, but that sense of crisis also fueled the development of the 12th-generation crown, which was launched in 2003. Revitalizing the crown required a fresh start, redeveloping the platform and engine to deliver world-class advanced drivability. 　　In 2008, the global automotive industry was affected by the financial crisis, the three major automobile giants in the United States almost went bankrupt, and Toyota was also hit hard. Although it won the title of the world’s largest automobile manufacturer that year, its loss reached 461 billion yen. Despite the difficulties, Toyota still persisted in the challenge of Crown transformation. 　　From the 14th generation "Crown of Rebirth" to the 15th generation "Crown of Connection", the shape of the crown has changed, the platform has been updated, and the driving performance has been honed at the Nürburgring. 　　New Crown Story 　　As the first high-end model developed by Toyota alone and overcome many difficulties, the Crown, born in 1955, is full of "innovation and challenge" DNA and has been passed down by successive models. 　　Times change faster than product updates. After 67 years, Crown, as a flagship model, must pursue new value ahead of the times and meet the diverse needs of consumers. The 16th generation of Crown will create a new era. 　　This time, when the Toyota development team developed the new crown, they fully thought about "what is a crown?" and pursued the "style of the new crown", resulting in four new crown products: a sedan, a crossover, and two SUVs with different appearances. 　　Developing four products simultaneously is no easy task, made possible by Toyota’s internal development process and new platform architecture, TNGA, which also proves that Crown has long been the flagship of the Toyota brand. 　　Not only is there a new style of "CROSSOVER" that combines SEDAN and SUV, but also a medium-sized SUV "SPORTS" that combines high practicality and sportiness under a smooth appearance; not only is there a large SUV "ESTATE" that combines the unique atmosphere and appeal of the crown, but also "SEDAN" that condenses the traditional and stable style. It will be introduced globally in the future. 　　The crossover version of CROSSOVER is the first protagonist. It transforms from a traditional sedan to a crossover form that mixes sedans and SUVs. For Crown, it means opening an innovative chapter and expressing a new value that is not constrained by traditional concepts. 　　The combination of sleek, coupe-like silhouettes and high-end styling that conveys a sense of power reveals a new look for the flagship model of the new era. Large-scale tires that break the concept of traditional sedans, as well as innovations in the body structure, create a spatial balance between the body and the tires, creating a strong style that is neither a sedan nor an SUV, and has the stability of a premium sedan. 　　The interior design has also been greatly improved, with the LCD dashboard and 12.3 central control screen forming a connected screen layout, horizontally integrating functional layouts that can be operated intuitively from any seat. The wraparound shape from the dashboard to the door also gives a very special feeling, allowing the driver to focus on driving and the passengers to be comfortable and happy. Every accessory is meticulous, and the understated and warm decoration of WARM STEEL, the attractive and comfortable shift lever, the seat that provides security, etc., all help to create a sense of quality and richness in the space. A total of 12 body colors and four interior color combinations provide a personalized choice. 　　The new generation of Crown will be available in two hybrid forms: 2.5L + electric motor and 2.4T + electric motor. For the first time, the hybrid system combines an in-line 4-cylinder turbine engine that can generate powerful torque even at low revolutions. It provides the latest eAxle electric powertrain with high torque and Toyota’s newly developed bipolar nickel-metal hydride battery, which responds linearly to throttle operation and creates a comfortable acceleration feeling. The CROSSOVER Crown can achieve its class-leading fuel economy and tranquility, demonstrating distinctive high quality and smooth driving performance. 　　In China, the historical origin of the crown began in 1964 with the import of the second-generation crown. In 2005, FAW Toyota began to produce the 12th-generation crown and started selling it under the name "Crown". After that, the luxury MPV Crown Weifa and the medium and large luxury SUV Crown Land were launched successively, meeting the diverse needs of consumers. 　　As the flagship model of the Toyota brand, the Crown series models are deeply loved by many consumers in China. As of now, the cumulative sales in China are about 640,000 units. The first model released this year is expected to start selling in China, and other models are also planned to be gradually introduced into China. 　　Toyota’s crown represents the success and pride of Japanese cars. The four new crown products carry new missions, challenges and progress, and will create a new story for the crown. (Text: Yang Xiaohong, Photo: Toyota) Continue reading » Liu Shu ｜ ｜LLM Generative Artificial Intelligence Applied in Smart Court： Reality and Future Exploration 2025年11月16日 | admin | A1 At the end of 2022, the outbreak of generative artificial intelligence brought artificial intelligence into people’s sight again. The discussion of artificial intelligence, which has been silent for a long time in the legal field, has risen again. The construction of smart courts is also accelerating, and whether generative artificial intelligence can help become an urgent problem. In fact, the application of artificial intelligence in smart courts is not a new topic. Most scholars have elaborated on the theory inside, but in fact, the construction of artificial intelligence in Chinese courts is relatively slow. Some problems mentioned in theory may not have appeared in practice, but the emergence of generative artificial intelligence has broken this situation. The application of artificial intelligence in smart courts needs to face the problems that were once "science fiction". By explaining the principle of llm-type generative artificial intelligence, it leads to the necessity of its application in smart courts. At the same time, it lists the existing commercial models and the practical application and future exploration of courts. Finally, the possible problems in practice are answered through legal provisions and technical operation. foreword Since 2017, with the viral spread of alphago, artificial intelligence has become the hottest topic at that time. Similarly, discussions about smart courts and artificial intelligence have also exploded. Of course, the popularity of smart court+artificial intelligence did not last long. On the one hand, it is because there are other more novel contents, such as metauniverse and nft；; On the other hand, because artificial intelligence did not explode like people imagined, the sci-fi "robot judge" did not appear. It is precisely because of the slow development of artificial intelligence that most articles do not analyze the specific application of smart courts, and most of them focus on the theoretical research of artificial intelligence in smart courts, including but not limited to data security and algorithm risk. "To sum up, although the research on legal artificial intelligence in the theoretical circle is lively, it is still in the pioneering stage, and there is still a lack of deep grasp and thinking about the current situation and future of the application of legal artificial intelligence. As for the suggestions on how to use legal artificial intelligence, it is only directional. Compared with the theoretical circle, the practical circle may have more expectations for legal artificial intelligence and take many practical actions. " The theoretical research on smart courts and artificial intelligence in China is very perfect, but many forward-looking issues have not received enough academic attention in the construction of smart courts. In academic discussions, the specific application in practice has not been considered too much. Therefore, this paper will focus on whether it can be applied to smart courts immediately, what the application scenario is, and the exploration of the future. On December 9, 2022, the Supreme People’s Court issued "Opinions on Standardizing and Strengthening the Judicial Application of Artificial Intelligence" (hereinafter referred to as "Opinions on Artificial Intelligence"), listing specific objectives, principles and application scope. Among them, Article 2 explicitly mentions: "By 2025, a relatively complete judicial artificial intelligence technology application system will be basically established, providing all-round intelligent auxiliary support for justice for the people and justice, significantly reducing the workload of judges’ routine work, effectively ensuring clean justice, improving the level of judicial management, and innovatively serving social governance. By 2030, the application and theoretical system of judicial artificial intelligence technology with rule guidance and application demonstration effect will be built to provide high-level intelligent auxiliary support for the whole process of justice for the people and fair justice, and the application of normative principles will be widely recognized by the society, greatly reducing the workload of judges’ transactional work, effectively ensuring clean justice, accurately serving social governance, and fully demonstrating the application efficiency. " It can be seen that the judicial application of artificial intelligence is the general trend and the key direction of the construction of smart courts in the future. Coincidentally, at the end of December, 2022, the large language model (llm), represented by the generative pre-trained transformer (gpt), began to spread all over the world, and its appearance broke the artificial intelligence market that had been silent for many years. Generative ai refers to the technology of generating text, pictures, sounds, videos, codes and other contents based on algorithms, models and rules. This is an unsupervised or partially supervised machine learning framework, and generates content by using statistics, probability, etc. Different from previous artificial intelligence, generative artificial intelligence can not only extract information, but also create content and learn its pattern and distribution by using existing digital content inspection training examples. This paper discusses llm-type generative artificial intelligence represented by chatgpt. The explosion of llm-type generative artificial intelligence obviously exceeds people’s imagination of artificial intelligence, and artificial intelligence that has been silent for a long time has once again entered people’s eyes. Before chatgpt appeared, the application of any artificial intelligence practice was still relatively basic, mainly such as grammar checking, language polishing, text translation, data analysis, etc. This kind of automation technology with almost no adaptive ability is often called weak artificial intelligence. howeverChatgpt llm-type generative artificial intelligence has strong natural language processing ability and strong artificial intelligence characteristics, and has the ability to directly generate content. While people are surprised, there are also many questions. Can it really liberate human productivity? Or is it just an assistant to the advanced version? Specific to the construction of smart courts, is there any risk in this kind of generative artificial intelligence? Can it help judges effectively? Can it seamlessly join the existing smart court construction? The author believes that there is no doubt that it can bring new changes to the construction of smart courts and show great application potential. Although there are many problems at this stage, it does not hinder its application in courts, which is also the significance of writing this article. Llm-type generative artificial intelligence is a new direction for artificial intelligence, and it is also a booster for the construction of smart courts. Perhaps llm-type generative artificial intelligence will open the era of real artificial intelligence judicial application. First, the necessity of llm-type generative artificial intelligence in smart courts. (1) Definition of llm-type generative artificial intelligence The specific application of generative artificial intelligence in smart courts is mainly llm-type generative artificial intelligence. The definition of llm-type generative artificial intelligence is emphasized in order to better understand the development process of this kind of artificial intelligence, so that it can be used better and clarify why llm-type generative artificial intelligence works. It is not difficult to find that chatgpt is very mature in many scenarios, such as article revision or translation, so only by understanding its definition can it be better used, instead of treating llm-type generative artificial intelligence like whispers. Although chatgpt is a technology to realize the large-scale language model of llm, llm was not widely discussed and used as an independent concept before chatgpt appeared, and then I will take chatgpt as an example, but it is only a concrete application of llm-type generative artificial intelligence after all, and it cannot be referred to as llm-type generative artificial intelligence by chatgpt alone. The simple explanation of llm-type generative artificial intelligence is that it generates text, pictures and other contents based on llm model. The key is llm model, that is, large-scale language model, which refers to a language model with tens of millions of levels of parameters, which are trained on a large number of text data. The basic theory of llm model lies in natural language processing (nlp). The development stage of nlp is as follows: first, in the rule stage, people first acquire knowledge from data, sum up rules, write them out and teach them to machines, and then machines execute the rules to complete specific tasks. Then there is the statistical machine learning stage, in which knowledge is relayed by people and automatically learned from data by machines. Then there is the deep learning stage, in which the amount of labeled data is increased to tens of millions, and the typical pre-training stage is technology stack including transformer. Finally, at the stage of large-scale language model, it broke out from the end of 2022, with the aim of making machines understand human commands and follow human values. It can be seen that the ai tools in the previous stage were relatively mechanical, while llm-type generative artificial intelligence is a very large language model, with a huge amount of training data and model parameters. Therefore, in fact, llm-type generative artificial intelligence is not a sudden appearance, but a gradual change. Next, we take the most common chatgpt as an example to analyze and extract the keywords of llm-type generative artificial intelligence. The so-called gpt pre-training is a pre-training language model based on transform model, and its training logic is as follows: First, corpus preparation, collecting a large number of text corpus from the Internet. The second is to preprocess the data, process the corpus, divide them into many independent sentences or paragraphs, and divide each sentence into words. After word segmentation, each word is converted into a number to generate a number sequence, and then a digital dictionary is constructed. Chatgpt training is to use these digital sequences to simulate scene experiments with transformer model, which requires a lot of manual intervention and fine-tuning the pre-training model by supervised learning. According to the reward model, the strategy is optimized, and then the output is generated. The pre-training of chatgpt should be based on forward transfer, reverse update and gradient convergence. The pre-training model reduces the cost of obtaining a higher level of artificial intelligence. Here we extract several important keywords, data, model, pre-training and fine-tuning. Of course, it may be questioned why the transform model of chatgpt is not a key word, because the transform model is unique to ChatGPT, and the llm-type generative artificial intelligence chatglm-6b, which is similar to Tsinghua University’s open source, is based on the general language model(glm) architecture. In similar image fine-tuning, chatgpt also has its own unique rlhf technology, which is feedback learning from human feedback technology. By constructing human feedback data sets, a reward model is trained to imitate human preferences to score results. In data, model, pre-training and fine-tuning, data and model are easy to understand, which is the starting point of llm generative artificial intelligence. In other words, there is no pre-training and fine-tuning without data and models. The latter two are the focus of llm-type generative artificial intelligence. Although the pre-training methods of llm-type generative artificial intelligence are different, there are still two key words at its core, namely embedding and prompt. prompt is an input prompting mechanism based on natural language generation model, which can guide the generation results of the model to some extent. Through prompt, we can provide some hints, conditions or contextual information to the model in the hope that the model can produce more accurate and expected output results. Embedding is the step of llm-type generative artificial intelligence to digest prompt, which is divided into word embedding and position embedding. Through the combination of the two and the application of the model, the output content can be obtained. And fine-tuning, it is artificial to adjust the results of pre-training in order to achieve the target effect. It is not difficult to find that the operating principle of llm-type generative artificial intelligence actually matches the legal syllogism in legal practice, in which prompt stands for legal issues, embedding stands for the process of finding legal facts and norms, and fine-tuning is the final legal application. llm-type generative artificial intelligence is almost perfectly matched with the legal syllogism of "formal rule of law". Therefore, llm-type generative artificial intelligence has applicable space, but it also brings some problems. (2) Current situation of artificial intelligence application in smart courts. Is llm-type generative artificial intelligence helpful to the construction of existing smart courts, and is it still a "science fiction imagination"? Can it still cover the construction of smart courts? The author believes that this needs to start with the current situation of the construction of smart courts in China. The construction of smart courts in China has been going on, and now it has reached the stage of smart courts 3.0. However, how to subdivide and manage the judicial application of artificial intelligence is still slightly lacking at this stage. Under the current situation, it is not conducive to the development to call all artificial intelligence applications in a unified way, so the author combines the provisions of "Artificial Intelligence Opinions" to sort out the current judicial application of artificial intelligence. The author believes that the existing domestic judicial applications of artificial intelligence can be divided into two categories, one is non-nlp artificial intelligence, the other is bias and program application and data operation and maintenance management, and the typical examples are online litigation, electronic delivery, voice conversion and character ocr recognition. In fact, these artificial intelligence technologies are relatively mature, and the author has actually felt the convenience in practical application. For example, Internet online litigation and the construction of Internet courts, China is still at the forefront of the world, which also shows the achievements of our smart courts. There is also electronic file filing, which effectively solves a large number of transactional problems. It should be emphasized that non-nlp artificial intelligence actually does not need the intervention of llm model, and it has its own set of technologies. Although llm model can also be competent for voice conversion, character ocr recognition and translation, its effect is not much different from that of the existing technology. If llm-type generative artificial intelligence is forcibly promoted, it may be counterproductive. The other is nlp artificial intelligence. According to the nlp development stage mentioned above, the nlp artificial intelligence of the smart court is only a rule stage and a statistical machine learning stage, so the actual effect is not ideal. Nlp artificial intelligence is commonly used in smart courts, such as document assistant system, litigation navigation, legal retrieval and so on. At this stage, an important problem in smart courts is the backward model. As far as document assistance is concerned, at present, at most, format typesetting is relatively smooth, and intelligent document generation is almost impossible, including simple procedural documents. Although there are templates, they still rely mainly on manual filling, which is not artificial intelligence at all. In addition, the practical operation of document proofreading is relatively mechanical, and even the correction effect of the same type of documents on the market can not be achieved. In terms of legal retrieval, which judges pay more attention to, it basically relies on manual input and self-retrieval, even the so-called intelligent query, it is difficult to achieve satisfactory results. Moreover, in addition to the backward model, the source of data is also very backward, completely relying on manual import of materials, and sometimes even the law can not be complete, let alone case retrieval. In fact, about the backward model and data. Professor Zuo Weimin also pointed out this problem, but it has not been solved yet. Of course, the data source of chatgpt, the representative of llm generative artificial intelligence, is also relatively small, and it will only be in 2021, but it can basically understand some legal facts, and at least play a certain auxiliary role in effect. In this case, the existing nlp artificial intelligence will only make judges feel exclusive. The so-called artificial intelligence can’t help at all, and it doesn’t relieve their work pressure. The artificial intelligence in academic discussion is more like a fable. From the perspective of foreign countries, its development is basically consistent with that of China. There are mainly intelligent programs and case retrieval. Of course, nlp artificial intelligence has developed faster outside the country than in China. Some countries have developed legal expert systems and judicial discretion models and used them in judicial practice to provide guidance or reference for judges and prosecutors to handle cases. Among them, the well-known is the Risk Assessment Tool (compas) used by some American states. This tool has also caused extensive discussion in American academic circles. It is worth noting that some foreign judges began to try to use chatgpt to assist the referee. It can be seen that before the outbreak of llm-type generative artificial intelligence, there were judicial applications of artificial intelligence both inside and outside the domain, but it is obvious that the judicial application effect of existing artificial intelligence is limited, and only some weak artificial intelligence can be assisted (even this is not effective compared with similar products on the market), similar to Q&A retrieval or intelligent assistance, it is almost non-existent. The emergence of llm-type generative artificial intelligence has brought a new way, which can be predicted to point out a new direction for the construction of smart courts. (3) Why do you need llm-type generative artificial intelligence First of all, the Opinions on Artificial Intelligence emphasizes that people’s courts should constantly broaden the judicial application scenarios and scope of artificial intelligence when building smart courts. Through the above introduction, llm-type generative artificial intelligence is the latest stage of artificial intelligence achievement, and it is foreseeable that it will become more powerful and more operational in the future. When emphasizing the construction of smart courts, we should not turn a blind eye to new developments. Moreover, the construction of smart courts in China is in the forefront of the world, and it is inevitable to actively give back to llm-type generative artificial intelligence. By actively applying llm-type generative artificial intelligence to improve the practical judicial application of artificial intelligence, we can also keep ourselves at the forefront of artificial intelligence. Secondly, llm-type generative artificial intelligence can effectively improve the application of nlp artificial intelligence in the current courts. As mentioned above, the model of nlp artificial intelligence in court is relatively backward, and the actual effect is not ideal. The application of llm-type generative artificial intelligence can alleviate this phenomenon, and through iterative model, it can make further progress even in the case of insufficient data sources. This can also effectively build a smart court. In practice, compared with now, llm-type generative artificial intelligence can help judges know the case quickly and accurately, saving a lot of time and energy. It can also extract valuable information from a large number of cases, provide reference for judges’ judgments, and improve the accuracy and fairness of judgments. Finally, the new development of llm-type generative artificial intelligence can effectively alleviate judges’ worries about artificial intelligence. Some scholars have pointed out that the development mode of artificial intelligence at this stage is in the stage of research and development, application, improvement and promotion, and the wrong understanding of artificial intelligence by judges and other judicial personnel is not conducive to improving the accuracy of handling cases by judges and other judicial personnel, and is not conducive to the development and perfection of artificial intelligence in courts and other judicial fields. Although llm-type generative artificial intelligence is not perfect at present, it has achieved some initial results, and with the promotion of the Internet, judges’ cognition of llm-type generative artificial intelligence is still unfamiliar, but it has not produced great negative emotions. Therefore, strengthening the application of llm-type generative artificial intelligence can get rid of judges’ worries about artificial intelligence and make the construction of smart courts more fruitful. To sum up, llm-type generative artificial intelligence is almost perfectly matched with the legal syllogism of "formal rule of law", which is very suitable for the vertical application of law. At the same time, llm-type generative artificial intelligence has a strong boost to the construction of today’s smart courts, and the necessity of applying llm-type generative artificial intelligence in smart courts is self-evident. Second, the application of llm-type generative artificial intelligence in court (1) Application of existing legal llm-type generative artificial intelligence Because there is no llm-type generative artificial intelligence in the current court application, the author will introduce the existing legal llm-type generative artificial intelligence, on the one hand, it is also an outpost for how to use llm-type generative artificial intelligence in the future smart court construction, on the other hand, it actually answers the above question about why llm-type generative artificial intelligence is needed, because the market gives the best answer. The existing application of legal llm-type generative artificial intelligence can be divided into two types. One is to use the interface of the existing model, directly call api, and then fine-tune it yourself, such as applying langchain or supabase technology, and then deploy it locally. The existing type is the ai of Peking University Magic Weapon or the ai legal assistant. In fact, this class is not much different from chatgpt, so it is not over-described. The other is to use the open source model to pre-train, and now the common ones are powerlawglm, lawyer-llama, chatlaw and lawgpt. This kind of artificial intelligence can be regarded as legal llm-type generative artificial intelligence in the vertical field, and all of the above are reused under the open source model, and most of them are not directly commercially available but laboratory works. Taking lawgpt as an example, the training process of lawgpt series models is divided into two stages: the first stage: expanding the legal vocabulary and pre-training the open-source models on large-scale legal documents and code data; the second stage: constructing a dialogue question-and-answer data set in the legal field, and instructing fine tuning based on the pre-training model. In fact, this is the same as the llm-type generative artificial intelligence keyword mentioned above. Its data sources are official data from China Inspection Network, China Judgment Document Network, National Judicial Examination Center of the Ministry of Justice, national laws and regulations database, legal technology competition data and legal question and answer data. Taking chatlaw as an example, its data is mainly composed of forums, news, laws, judicial interpretations, legal consultations, law examination questions and judgment documents, and then the dialogue data is constructed through cleaning and data enhancement. It is not difficult to see that this is actually the same as the keywords mentioned above. The author introduces the application of existing legal llm-type generative artificial intelligence here. On the one hand, it plays an important role in the construction of smart courts. On the other hand, it actually introduces the operational logic of llm-type generative artificial intelligence again, which is closely related to legal syllogism and can be well applied to the vertical field of law. Similarly, after introducing the existing legal llm-type generative artificial intelligence, it seems that some problems of judicial application of artificial intelligence mentioned before have a more practical solution direction, which the author will respond to below. The above-mentioned legal llm-type generative artificial intelligence appeared in the past six months. It can be seen that legal llm-type generative artificial intelligence is a hot direction, so the construction of smart courts also needs legal llm-type generative artificial intelligence. So how operable is it to be applied in court, and what is the direction of its future application? The answer will be given below. (2) Realistic landing and future exploration of the application of smart court As mentioned above, llm-type generative artificial intelligence is a new stage of nlp, which can effectively improve the nlp application at this stage. At the same time, for non-nlp types, it has no improvement effect, and the concept of forced nesting will only be counterproductive, and this is a manifestation of the disconnection between practice and theory. The author believes that the following scenarios can be applied to llm-type generative artificial intelligence: Scenario 1: Legal search, assisting judges in handling cases. The author thinks that the more mature application at this stage is to consult the legal content and save the time of manual retrieval. I think this application can be realized as soon as possible. From the practical point of view, taking chatgpt as an example, it basically gives an explanation when Chinese corpus is scarce. Therefore, this application can be predicted, and the actual effect is not very bad. Chatlaw, for example, can basically answer the corresponding law retrieval questions. Of course, the biggest problem of legal retrieval is to ensure the credibility of data. As far as the above results are concerned, although it is basically available, in practice, local regulations have not been included, which has not solved the pain points of grass-roots courts well, but compared with the current mechanical manual retrieval or big data retrieval, the effect has been remarkable. However, what is lacking now is that the retrieval of specific legal documents has not been realized, which is also the direction that llm generative artificial intelligence needs to work hard in the vertical field of law. The further conception, that is, llm-type generative artificial intelligence guesses the judgment result, is similar to the application of the current sentencing model, which shows that the laws and regulations, judicial interpretation, judgment cases, legal facts and evidence materials involved in the case are input, and then the corresponding judgment result is obtained. This kind of application is obviously professional and complex, and it really helps judges to judge quickly and improve their legal application ability. However, the author thinks that even if it is difficult to have a model to actually operate now, it can be used as the future development direction. Of course, many scholars have already discussed the possibility of using this point in the future, and there are many problems involved, such as data security, algorithm problems and whether it can replace judges. If it is to be used in the future, these problems must be solved first. Scenario 2: Pre-ai litigation consultation. Pre-ai litigation consultation can effectively solve the work efficiency problem of the current court filing window, prevent judges from becoming pure legal consultants, and also play a certain role in popularizing the law. The author mentioned above that there are some similar applications in the realization stage, but the effect is limited to presenting the law and telling how to sue, and the answer effect is average, just "feeding information". Through the application of llm-type generative artificial intelligence, we can effectively answer the questions of the parties, at the same time, we can evaluate the litigation according to the facts provided by the parties, provide legal knowledge and litigation risk analysis for the parties, and give appropriate solutions. The parties can get the results they want only through simple consultation, thus making the litigation convenient and efficient and effectively reducing the litigation burden of the parties. This application can be placed in the court filing window, the court WeChat WeChat official account, and 12368, which liberates a lot of labor to a certain extent and can also solve the problem of many lawsuits at present. From a practical point of view, chatgpt can initially answer questions effectively, and I think this is also a scene that can be landed in the near future. Chatlaw, for example, can basically answer the corresponding legal consultation questions, including but not limited to legal consultation, judicial examination consultation and so on. What needs to be clear is that when the smart court is arranged, the pre-ai litigation is only a reference for the parties and cannot be used in formal procedures, otherwise the court will be held hostage by the pre-ai. Pre-ai litigation consultation is a direction in which llm-type generative artificial intelligence can be put into practice quickly. The author thinks this can be the main direction of llm-type generative artificial intelligence’s smart court experiment. Scenario 3: Legal document assistance. Llm-type generative artificial intelligence is more realistic in the near future to strengthen the ability of document modification. Nowadays, the revision of court documents is still relatively backward, and llm-type generative artificial intelligence can effectively solve this problem. At this point, chatgpt has become the mainstream direction of text retouching and modification. Of course, the most noteworthy thing is whether llm generative artificial intelligence can directly generate documents. In my opinion, for some procedural documents, such as summary procedure decisions, or rulings with simple contents, and judgments with fixed contents similar to those in criminal cases, at this stage, llm-type generative artificial intelligence can be tried to liberate judicial staff from heavy and boring procedures and pay better attention to the trial itself. For complex documents, the author thinks that further training is needed. From the practical point of view, chatgpt can only give a very abstract framework, which has no practical significance. Of course, with the update iteration of artificial intelligence application, the maturity and accuracy of its content will be improved continuously, and it will be closer to professional judges. But there are still many doubts about whether it can replace judges. Third, the realistic response to the application problem of llm generative artificial intelligence Llm-type generative artificial intelligence is a new direction of artificial intelligence, and its great progress has really put some artificial intelligence problems in front of legal people, and the previous "science fiction fantasy" may be realized soon. However, as the author mentioned, the theoretical discussion on the application of artificial intelligence in the judiciary in China is perfect, such as data security and algorithms, which have been discussed in detail by scholars. Back to the title, the author emphasizes that "realistic response" is actually an analysis of the key words of llm-type generative artificial intelligence and the existing Opinions on Artificial Intelligence. Many scholars have made detailed research on some advanced theoretical problems. The emergence of llm-type generative artificial intelligence is to amplify some previously discussed problems. However, these problems cannot prevent llm-type generative artificial intelligence from being applied in the construction of intelligent courts. The author believes that the advantages of llm-type generative artificial intelligence outweigh the disadvantages as long as it is effectively restricted. Interestingly, when the author inquired about the shortcomings of chatgpt’s application in China courts, he also gave the answer: the conclusion drawn by chatgpt may be influenced by the deviation of training data, and there is a risk of misjudgment. Chatgpt can’t consider the specific details and background of the case, and sometimes it ignores important information. Chatgpt can’t completely replace human judges at present, and some judgments need human wisdom and experience. (1) The data problem depends on who controls it. First of all, all artificial intelligence can’t avoid the problem of data security. For data security, the author thinks that the court must pay more attention to data security than other industries, but llm-type generative artificial intelligence needs to deal with an extremely large amount of sensitive data, such as legal documents, cases, user information, etc., which may far exceed the current data volume. If there is not enough data security protection, it may lead to information leakage or malicious use. In fact, the principle of safety and legality is also explicitly mentioned in the Opinions on Artificial Intelligence. Therefore, for security problems, llm-type generative artificial intelligence can be used on the premise of ensuring security. But in fact, if you think about it carefully, the focus of data security is actually the protection of the parties’ information in the court trial stage, especially the file security of criminal files. Other data are actually public, and the data used by some legal llm-type generative artificial intelligence applications in the market mentioned above are also public data on the network, so there is no data security problem. The data security problem of llm-type generative artificial intelligence actually focuses on the data in the court stage, and whoever generates and manages it may be the best solution. Since you are so worried about data security, it may be the best way not to outsource, and court management of data can also effectively solve another problem of data, that is, whether the data itself is correct. If it is wrong data input, it will be wrong data anyway. Moreover, it is undeniable that other technology companies are more or less lacking in data, no matter who has the most comprehensive judicial data,That must belong to the court itself. In addition, there is a basic problem of data problem, which is the choice of model. Moreover, whether you choose the existing model or there will be a new model in the future, you need to use external resources, which inevitably leads to security problems. The author believes that it is more appropriate to choose an open source domestic data model at this time. The author believes that the construction of the smart court itself should be led by the court, and other technical support needs to be guided by the court, so that it can not only solve the data problem, but also lead the next practical application. Moreover, many of the existing legal llm-type generative artificial intelligence applications introduced by the author above are projects carried out by university laboratories. There is no need to have a fear of difficulties for all artificial intelligence applications, and the profession belongs to the profession, but it does not mean that it is completely abandoned. (2) The algorithm problem depends on how to use it. As for the algorithm of artificial intelligence, as the author mentioned many times above, many scholars have discussed it. The common problems are algorithm discrimination and algorithm black box. Just like the court-dominated model mentioned by the author in the last paragraph, if the court dominates the application of llm-type generative artificial intelligence, then the problem of algorithm discrimination and algorithm black box can be effectively controlled, and the court’s active participation in the formulation of the algorithm can eliminate the unfavorable factors of the algorithm. In fact, the author has introduced some operational diagrams of llm-type generative artificial intelligence applications above. It is not difficult to see that the principle of the pre-training stage is not complicated, especially when the model is open source, and there is no so-called algorithm black box problem. In terms of embedding technology, it is actually the splitting and integration of data. If it is open source, it can actually predict the input results. This is also in line with the provisions on transparency in the Opinions on Artificial Intelligence. At present, the algorithm problem of llm generative artificial intelligence focuses on the fine-tuning stage, so this stage depends entirely on human participation, and if someone participates, there will be the above-mentioned algorithm discrimination and algorithm black box problem. The author thinks that the more appropriate solution is that the court dominates the algorithm process and allocates relevant personnel to participate in the algorithm calculation process. In fact, under the premise that the principle of auxiliary trial has been clearly defined in the Opinions on Artificial Intelligence, the algorithm problem in the trial process is actually a pseudo-problem, because the final decision-maker is in the hands of the judge, and the discrimination and black box problem of the algorithm will actually return to the professional ethics of the judge, so it is difficult to call it an algorithm problem. Because the "robot judge" can no longer exist, there is no risk in the application of artificial intelligence as long as the principle is adhered to under the premise that the Supreme Court has determined the principle. However, the author mentioned a problem in the previous article, that is, when doing pre-ai consultation, the algorithm problem will be more prominent. On the one hand, it can be effectively handled through the above means. On the other hand, through the open source data model, ensuring predictability can also alleviate the risk of pre-ai consultation and truly let legal consultation enter ordinary people. (3) Fairness and justice are the bottom line. Fairness and justice are the bottom line of justice. Under the premise that the principle of auxiliary trial has been clearly defined in the Opinions on Artificial Intelligence, how to ensure fairness and justice through llm-type generative artificial intelligence is the most critical direction. Looking back to now, the focus of this paper is on the application of the court, and it is true that llm-type generative artificial intelligence can effectively promote the construction of smart courts, but the question is how to choose other litigants when the court uses these advanced artificial intelligence. According to the author’s previous statement, there have been many legal llm-type generative artificial intelligence on the market, and litigants can choose. However, the reality is that the data source of the court is the most comprehensive, and other market-oriented models certainly can’t reach this level. At the same time, since it is market-oriented, not all participants in the proceedings may have the money to buy it, let alone the defendants in criminal proceedings. Scholars in Europe and the United States have also pointed out that this obviously violates the principle of "equality of arms". This is a real problem, which violates the principle of fairness and justice. One method is the open source model, which can be used by all litigants. This can really solve the problem, but the problem is that opening all materials will only make the court lose control of llm-type generative artificial intelligence. When litigants take the results generated by artificial intelligence to defend, the court is obviously in a passive position. Moreover, under the premise of clarifying the principle of auxiliary trial, it is actually to avoid the defects of llm-type generative artificial intelligence. If it is used open source, it will only expose the defects again. Therefore, the author thinks that the best way to solve the problem is to let the judge clearly use the scenes and results of llm-type generative artificial intelligence, that is, the use of this process needs to be displayed to the outside world. Above, the author mentioned some recent applications of llm-type generative artificial intelligence abroad, and these judges made it clear that they were only auxiliary. Even if they were not separately stated in the judgment, they would clearly indicate that they would inform the parties that they had used llm-type generative artificial intelligence. The author believes that if llm-type generative artificial intelligence is used in court on a large scale, the presiding judge should inform all parties that he may use llm-type generative artificial intelligence to assist in judgment. What I emphasize here is this kind of auxiliary judgment, not looking up information. If we just look up information, we don’t need to explain the participants in the lawsuit. And if the judge makes some auxiliary judgments through llm-type generative artificial intelligence, and the judge in charge adopts this auxiliary judgment result. The author thinks that the judge in charge should show in the judgment why he used llm-type generative artificial intelligence to provide trial-assisted results, and should not neglect judicial justice because of the application of artificial intelligence. In addition, for litigants, they can also apply to the court to use llm-type generative artificial intelligence. Generally speaking, the application of llm generative artificial intelligence in court trial practice needs to adhere to the principle of openness in the whole process. Only in this way can people’s doubts about llm generative artificial intelligence be eliminated and justice be more fair and just. tag With the development of Smart Court 4.0, artificial intelligence will fully empower all business links of the court. At present, some applications of artificial intelligence technology are just the tip of the iceberg. With the development of llm-type generative artificial intelligence, more and more mature artificial intelligence products will serve the court, comprehensively deepen the construction of smart courts, improve the efficiency of judicial trials, and achieve a higher level of digital justice. Wonderful review of the past Ni Zihan | A New Solution to Data Compliance of Generative Artificial Intelligence Enterprises under the Path of Separation of Three Powers Zheng Sen | On the Copyright Law Regulation of Songs Generated by aigc Criminal Law Protection of Yang Zi ‘an | ｜chatgpt Artificial Intelligence Products Research on Copyright of Artificial Intelligence Products by Tang Qirou Zhou Jinli | Copyright and Default Ownership Distribution of Artificial Intelligence Generated Content —— Also on the Selection Probability Criteria for Judging the Originality of Works Zhao Guoqing | On the Copyright Law Regulation of Content Generated by Virtual Digital Man Technology Official website, Shanghai Law Society http://www.sls.org.cn Shangguan author: Shanghai Law Society Continue reading » The first periodical focusing on AI hardware research in IEEE history was approved, and the first issue was published this fall. 2025年11月15日 | admin | A1 On February 20th, IT House, Professor Chen Yiran of Duke University’s Department of Electronic and Computer Engineering announced today that after more than two years of preparation and three rounds of application review and revision, the IEEE Technical Activities Board (IEEE Technical Activities Committee) finally approved the creation today. IEEE Transactions on Circuits and Systems for Artificial IntelligenceTCASAI, IEEE transactions on artificial intelligence circuits and systems. According to reports,This is the first periodical focusing on artificial intelligence (AI) hardware research in IEEE history.Professor Chen Yiran will also be the founding editor of this new journal. Professor Chen Yiran revealed that the submission website of the journal will be established and published soon and will begin to accept contributions.The first issue with an all-star author lineup will be released this fall.. TCASAI will hopefully become the first hardware journal with double-digit impact factor under IEEE. With the development of artificial intelligence to this stage, especially the recent emergence of algorithms that require high computational power, such as large models, the importance of the development of artificial intelligence hardware and computing platform is self-evident. TCASAI was founded to meet the needs of scientific research and communication in this rapidly developing new field. The main financial and technical supporters of this new journal include IEEE Circuits and Systems Society and IEEE Solid-State Circuits Society. IEEE Council on Electronic Design Automation, and IEEE Electron Devices Society. P.S.: Many people guess what prize I won or what academician I chose, but it’s not. I think it is equally important or even more important to create a journal with global influence in a new scientific research field in an authoritative academic group than all kinds of honors. Note of IT House: Institute of Electrical and Electronics Engineers (IEEE) is an international electronic technology and electronic engineers association established on January 1, 1963, and it is also one of the largest professional technical organizations in the world, with 420,000 members from 175 countries. Impact factor (English: impact factor, abbreviation: IF) refers to the frequency with which articles in a certain journal are cited in a specific year or period, and is an important indicator to measure the influence of academic journals. The impact factor is the total number of citations of papers published in the first two years (S, T) of a journal in the statistical year (U) divided by the total number of citations in the first two years (S, T) of the journal. Reporting/feedback Continue reading » 文章分页 1 2 … 37 Next 搜索搜索近期文章Going to the Grassroots in the Spring Festival ｜ Yi Jia, the flight attendant of China Eastern Airlines： Serving ＂Spring Festival travel rush＂ and ＂Wrong Peak＂ are also happy during the holidays The Secret of the 2024 Global Box Office List： How did China’s films perform？ Tianjin Mercedes-Benz GLE coupe new energy price reduction news! Special offer 772,000, only this time Will robots replace people？ Where is the next vent？ Listen to what BAT coffee says. 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