Yancheng Volvo XC90 price reduction news, discount 174,900! Sufficient car

[Autohome Yancheng Discount Promotion Channel] Good news! In this beautiful city of Yancheng, a striking promotion is underway. As a leader in the luxury SUV market, the XC90 has shown unprecedented benefits in the Yancheng area. At present, the maximum discount has reached an amazing 174,900 yuan, and the minimum starting price has been adjusted to a very competitive 472,000 yuan. If you want to seize this rare car purchase opportunity, don’t miss it. Click "Chatti Car Price" in the quotation form now to make your dream car a reality at a lower price. Act quickly and let the discount be your help to choose the XC90!

盐城沃尔沃XC90降价消息,优惠17.49万!现车充足

The Volvo XC90 catches the eye with its refined and powerful exterior design. On the front, it uses the classic Thor’s Hammer headlights, combined with the straight waterfall-style air intake grille, to present a visual effect of elegance and power. The body lines are smooth, showing the simple aesthetics of Nordic design. The overall style is atmospheric and noble, highlighting the sense of luxury and sports. No matter which angle you look at, the XC90 is a very recognizable luxury SUV.

盐城沃尔沃XC90降价消息,优惠17.49万!现车充足

The Volvo XC90 is sumptuous in elegant body proportions, with body dimensions of 4953mm long, 1958 mm wide and 1778mm high, creating a sense of sedate space. The 2984mm wheelbase ensures generous interior space and excellent driving stability. The side lines are smooth and powerful, and the tire size is 275/45 R20. With carefully designed rims, it not only enhances the driver’s visual enjoyment, but also provides a solid grip for driving.

盐城沃尔沃XC90降价消息,优惠17.49万!现车充足

The interior design of the Volvo XC90 adheres to the style of Nordic luxury, with attention to detail and comfort. In the driver’s seat area, the steering wheel is made of leather with excellent texture, providing a good grip. It can be manually adjusted up and down + front and rear to suit the needs of different drivers. The central 9-inch central control screen is clear and easy to operate. It integrates multiple functions such as multimedia system, navigation, phone and air conditioning. It supports automatic speech recognition and provides convenient information exchange for drivers.

In terms of seats, the XC90 is made of high-grade leather to provide passengers with excellent touch and support. The main and passenger seats support 4-way adjustment of front and rear, backrest, height and height, as well as 2-way adjustment of waist support to ensure the comfort of long-distance driving. The front seats are also equipped with heating function to keep the driver warm in cold seasons. In addition, the driver’s seat also has a power seat memory function to provide personalized space settings.

As for convenience, the XC90 is equipped with two USB ports and two Type-C ports in the front row to meet passengers’ multimedia and charging needs. The rear seats support proportional reclining, providing flexible storage and versatility. Together, these configurations create an interior environment that is both luxurious and functional.

盐城沃尔沃XC90降价消息,优惠17.49万!现车充足

The Volvo XC90 is powered by a 2.0T turbocharged engine with a power output of 250 horsepower and a maximum torque of 350 N. m. This engine is paired with an 8-speed automatic transmission to provide smooth power transmission and efficient performance.

Summing up the owner’s point of view, he is full of praise for the exterior design of the Volvo XC90, especially the unique design of the front and the eye-catching LED daytime running lights, which add a different kind of aura to this luxury SUV. These elements not only won his personal favor, but also will attract other consumers seeking individuality and practicality. Overall, the Volvo XC90 has established a solid position in the hearts of many owners with its domineering appearance and excellent design details.

Tang De film and television 400 million will be accepted by Shenzhen Stock Exchange; The Legend of Searching for Dragons is synchronized with North America in mainland China.

01

Tony Leung Chiu Wai and Andy Lau cooperated in the new film Goldfinger after 18 years.

According to Hong Kong media reports, Tony Leung Chiu Wai and Andy Lau will cooperate again after 18 years, and will star in Infernal Affairs director Zhuang Wenqiang’s new film Goldfinger. The film Kasi is luxurious, co-starring Charlene Choi, Yam Tat-wah, Fang Zhongxin, Jiang Haowen and Qian Jiale. 

 

Focusing on the Hong Kong listed company Jianing Group in the 1980s, the film tells the story of its rise to liquidation in just a few years, and finally it was pursued by the Independent Commission Against Corruption for 15 years, which caused a sensation all over the world.

 

In fact, there was news of the film Goldfinger in October last year. At that time, it was reported that it starred Tony Leung Chiu Wai and Nicholas Tse, and it was an action film against corruption. However, Nicholas Tse was not seen in the latest lineup. It is reported that the film was invested by Emperor Film, and it is alleged that it has been approved by the mainland. It is expected to start shooting this year, and the film production fee is reported to be 200 million yuan.

02

The Legend of Searching for Dragons is synchronized with North America in mainland China.

Disney’s first animated feature film "The Legend of Searching for Dragons" this year announced that the mainland will set a file on March 5 to synchronize with North America. The film is the latest work of Frozen’s Zootopia gold medal team, and the Chinese version of the protagonist is dubbed by Zhao Liying.

03

Tang De film and television 413 million will be accepted by Shenzhen Stock Exchange.

Tang De Film and Television announced on the evening of February 19th that it received the Notice on Accepting the Application Documents of Zhejiang Tang De Film and Television Co., Ltd. to Issue Stocks to Specific Objects issued by Shenzhen Stock Exchange on February 19th, 2021. Shenzhen Stock Exchange checked the prospectus and related application documents submitted by the company for issuing shares to specific targets, and decided to accept the application documents.

 

Tang De’s income has been reduced from the initial 600 million to no more than 413 million.

04

The new drama "Eye of the Storm" with the theme of national security was finalized on February 23rd.

 

The national security theme contemporary urban anti-espionage drama "Eye of the Storm" starring Yang Mi and Vin is scheduled to be broadcast on Zhejiang Satellite TV and Oriental TV at 19:30 every day from February 23rd. Iqiyi and Tencent video members will update 2 episodes every Sunday to Friday at 22: 00, and 1 episode on Saturday at 22: 00.

 

The drama tells the story of the national security personnel, represented by Quiet and Ma Shang, who persist in the justice in their hearts regardless of obstacles, and strive to detect cases of technology theft and protect the country’s rare resources from being smuggled and traded by foreign forces.

05

The fire of Marvel Comics’s new drama "Vision of Wanda" caused Disney+ to go down.

Magic Vision of Wanda was very popular after Disney+ was released, which even led to the downtime of this streaming service on Friday. Downdetector, a website that tracks Internet service downtime reports, said Disney+ experienced a short downtime in the early hours of Friday, at about the same time as the latest episode of Vision Wanda premiered. Many Disney+ users went to major social media to express their dissatisfaction.

06

The sequel to Our Distance from Evil started shooting this year.

Taiwanese media reported that in 2019, the high-profile drama series "The Distance between Us and Evil" officially opened a sequel, and the second part will be a brand-new card and story, which will start shooting before the end of this year. Screenwriter Lu Yuyuan said that she spent more than a year doing field research, and now she is writing a script. Her roles include legislators, prosecutors, middle school teachers and social workers.

 

"Our Distance from Evil" was broadcast in Taiwan Province in March 2019, and then Tencent video was introduced. The first film starred Alyssa Chia, Wen Shenghao and Wu Kangren, and Alyssa Chia won the first golden bell in his life with this drama.

Why is it difficult to solve the problem of the withdrawal of rural land contracting right from reform?

  Recently, the issue of rural contracted land withdrawal has once again become a hot topic.

  The reason is that the Ministry of Agriculture and Rural Affairs, in response to the suggestions of deputies to the National People’s Congress, said that it would, in accordance with the requirements of the central authorities, guide local governments to clearly define the main qualifications of farmers who withdrew from contracted land and steadily explore the establishment of an exit mechanism for farmers’ contracted land.

  The existing rural land contracting pattern was established in the "second round" of contracting in the 1990s. At that time, the urbanization rate of China was just over 30%, and the vast majority of the population was still tied to the land.

  Today, the urbanization rate in China is close to 64%, and the share of agricultural employment has been reduced to below 25%. If we further consider the level of production concentration, among agricultural employees, professional farmers who account for less than 5% bear more than 50% of the production capacity, and this trend of production concentration is deepening day by day. A characteristic fact reflected by the above phenomenon is that the existing land contracting pattern has been seriously misplaced with the real land management pattern. This is the realistic basis for starting the reform of contracted land withdrawal for farmers in cities.

  First, the policy process

  The so-called withdrawal of rural contracted land essentially means the withdrawal of rural land contracting rights. This right is actually transformed from the membership right of rural collective economic organizations. Of the same nature, there are rural rights and interests such as rural homestead qualification rights and collective asset equity. The withdrawal of rural rights and interests such as rural land contract right is not a new policy, and this reform has been discussed for a long time.

  In 2015, the Fifth Plenary Session of the Eighteenth Central Committee of the Communist Party of China made it clear that farmers who settled in cities should be protected from land contracting rights, homestead use rights and collective income distribution rights, and supported to guide them to voluntarily transfer the above rights and interests with compensation according to law.

  In 2016, the reform of "separation of powers" of rural land was launched, and it was clearly stated that it was necessary to fully safeguard the rights of contracted farmers to use, transfer, mortgage and withdraw from contracted land.

  The Rural Land Contract Law, revised in 2018, stipulates that during the contract period, if contracted farmers settle in cities, they will be guided and supported to transfer the contracted management right of land within their collective economic organizations or return the contracted management right to the employer according to the principle of voluntary compensation.

  The newly revised Regulations on the Implementation of the Land Management Law in 2021 stipulates that the state allows rural villagers who have settled in cities to voluntarily withdraw from their homesteads with compensation according to law.

  In addition to the above-mentioned policies and regulations, relevant departments have organized and carried out several rounds of reform pilots in many regions. In 2014, Chengdu, Sichuan Province, liangping county, Chongqing, and Shizhong District, Neijiang City, Sichuan Province in the second batch of rural reform pilot areas carried out the experiment of "voluntary paid withdrawal of rural land contractual management rights". In the following years, the Ministry of Agriculture and Rural Affairs successively organized some counties (urban areas) in Shanghai, Shandong, Ningxia, Hubei and other places to carry out the pilot project of withdrawing rural land contracting rights.

  At the end of 2019, the National Development and Reform Commission and other 18 departments issued the "Reform Plan for the National Urban-Rural Integration Development Experimental Zone", which proposed to establish a system for farmers who settled in cities to voluntarily transfer and withdraw from rural rights and interests according to law, and explore specific measures for them to withdraw from rural collective economic organizations, such as farmers’ contracting rights, homestead qualifications and collective assets. Judging from this deployment, the "package" withdrawal of rural rights and interests will become an important trend of future reform.

  Second, operational problems

  It has been six years since the reform was put forward to a series of reform pilots, but this reform has not been fully solved. For example, the previous reform pilot projects in Chengdu, Sichuan, liangping county, Chongqing, and Shizhong District, Neijiang, Sichuan, were difficult to go deep for various reasons. There are three main problems:

  (1) The "long-term withdrawal" mode is generally adopted in the pilot areas, rather than the "permanent withdrawal" mode.The so-called "long-term withdrawal" means that farmers are allowed to return the remaining term of the "second round" contract period to the village collective, but reserve the right to re-apply for contracted land in the next round of land contract. This reform idea has obvious limitations, leaving a tail for the parties to play again after the expiration of the "second round" contract, so it is not smooth to implement.

  (2) In the pilot project, the land contracting right can only be returned to the village collective, and it is not allowed to be transferred between farmers.The direct result of this constraint is that it is difficult to raise compensation funds for land withdrawal. The compensation funds in various places are mainly based on financial advances, supplemented by self-financing by collective economic organizations and bank financing, which is not sustainable. This practice is still continued in the Reform Plan of the National Urban-Rural Integration Development Experimental Zone, that is, the withdrawal object of rural rights and interests can only be rural collectives, not including eligible members of other rural collective economic organizations. If this practice is continued without change, the funding problem will remain a key bottleneck, and I am afraid it will be difficult to make a breakthrough in reform.

  (3) In the pilot, only the withdrawal of land contracting right was deployed, but no arrangement was made for the withdrawal of homestead qualification right and collective asset equity.This makes the reform that should have been promoted as a whole artificially separated. The "Reform Plan of National Urban-Rural Integration Development Experimental Zone" has improved this practice and made arrangements for the "package" withdrawal of rural rights and interests, but no mature experience has been seen yet.

  Iii. Suggestions for reform

  As mentioned earlier, behind the rural land contracting right, homestead qualification right and collective assets equity right is the membership right of rural collective economic organizations. From a deeper level, the withdrawal of the above rights is essentially the withdrawal of the membership rights of rural collective economic organizations, which involves the renewal of the inherent attributes of rural collective ownership. Because the current collective ownership of rural land belongs to "total ownership" in the framework of civil law, it is an inseparable, inseparable and irrevocable collective system in theory. However, we must know that the strict sense of "total ownership" is only applicable to the agricultural community in a simple society and it is difficult to adapt to the requirements of the modern economic system. Therefore, from the perspective of comprehensively promoting rural revitalization and accelerating agricultural and rural modernization, it is necessary to make adaptive changes to the rural collective economic system and establish a rural collective economic operation mechanism that meets the requirements of the market economy.

  Only by clarifying this basic understanding can we break the ideological shackles of reform, thus fundamentally breaking the problem of rural rights and interests and withdrawing from reform.

  Specific reform proposals include the following aspects:

  (1) Boldly explore the mechanism of "permanent withdrawal" of rural rights and interests.In order to avoid the repeated game of land and contract relationship, farmers who settle in cities should be allowed to "permanently withdraw" from rural rights and interests voluntarily and with compensation according to law. In this process, the choice should be given to farmers, instead of taking it for granted that "farmers will sell their land at will", so they must "make decisions for the people". If it is really necessary to take certain measures, we can consider giving farmers a certain "right of repentance", that is, allowing farmers who have withdrawn from rural rights and interests to regain land contracting rights or other rights and interests at the original price within a certain period of time, of course, it may not be implemented on the original specific plots.

  (2) Clarify the qualification scope of the rural rights and interests undertaker.According to the provisions of the Rural Land Contract Law, those who undertake to withdraw from the land contract right can be either the rural collective economic organizations to which farmers belong or other members of the collective economic organizations. From the point of view of legal logic consistency, the same is true of the qualification right of house foundation and the equity right of collective assets. However, in the pilot reform work, only the relevant rights are allowed to be returned to the village collective, but no "exit — The specific mechanism of undertaking means that legal provisions have actually become an "empty system". The Ministry of Agriculture and Rural Affairs stressed that it is necessary to "clarify the subject qualification of farmers who withdraw from contracted land" when replying to the suggestions of NPC deputies. Actually, from the operational level of reform, it is equally important to "clarify the scope of the subject qualification".

  (3) Establish a market-oriented framework for rural rights withdrawal reform.The reason why this reform is difficult to solve for a long time is that the government has a strong leading color and the marketization mechanism has not been established. In the next step of reform, we should design a scientific market-oriented framework to promote the "exit — To undertake the independent negotiation and negotiated pricing between subjects, the government mainly plays the role of guidance, supervision and guarantee. The experience of rural reform for more than 40 years shows that farmers will make rational choices under a market-oriented framework. This experience has become an irrefutable truth.

  [The author Chen Ming is an associate researcher at the Institute of Political Science of China Academy of Social Sciences. His main research fields are rural governance, land system and rural reform. He has published Land Politics and Facing the Seed Problem in China (editor-in-chief). ]

How to promote co-education between home and school in rural schools

It is one of the important tasks of school work to improve the cooperative education mechanism of school family and society and promote the cooperation between school and family. Rural schools are facing more difficulties on this issue, such as the low overall education level of parents, more intergenerational parenting, relative lack of social resources, and less participation of parents and communities in school activities. Faced with the above difficulties, how should rural schools play an active role in promoting co-education between home and school?


    Understand and make up the objective gap. Schools lead communities to build rural education environment together.


Recognizing and understanding the actual situation of the community is the premise of effective cooperation between home and school. Rural schools should realize the reality that students’ family conditions and educational support ability are relatively poor compared with those in cities, and try their best to make up the gap. For example, giving priority to children’s well-being, combining with the family situation and living habits of local students, we should strengthen communication with parents in daily health knowledge, nutrition knowledge, safe living matters, and school adaptation counseling, so as to provide guidance and help to students’ families. When carrying out all kinds of educational activities, we should also consider the differences of audience’s cultural level, difficulties and needs. The content and language of family education activities or lectures should be easy to understand, and simple image atlas materials can be printed and distributed appropriately. The content of education and training should also be practical and operable, not just theoretical, but also teaching parents concrete and feasible methods. Parents with low educational level, especially guardians with ancestral status, should pay more patience and find more suitable methods and strategies to communicate with them.


Under the cooperative education mechanism of home, school and community, schools should play a leading role, mobilize family and social forces, and make all adults, especially parents and guardians of children, fully aware of their influence on the next generation and their educational responsibilities. First, we should educate children to love their hometown, understand their hometown and establish the consciousness of serving their hometown; The second is to expand the educational field inside and outside the campus to help students understand and master local knowledge, hometown history and culture, and at the same time cultivate the awareness and ability of building a child-friendly village among adults; Third, school teachers, community part-time teachers or volunteers should learn some adult education skills and communication skills, and combine local production and life traditions and local folk culture when providing family education guidance and services, which is conducive to training and guidance in a more grounded and easy-to-understand way; Fourth, the school and the community should closely combine the local actual situation, design relevant school-based courses and local courses under the guidance of the concept of coordinated development of agricultural civilization, industrial civilization and digital civilization, or independently develop community education courses and community experience courses.


    Using school resources to serve the community and paying attention to the needs of rural special groups


Rural educational resources and cultural resources are relatively scarce. Today, when the number of students in rural schools is shrinking and the conditions for running schools are constantly improving, rural schools can make full use of the existing software and hardware resources, as well as the link channels between schools and external resources in the community, so that schools can play the role of community cultural centers and learning centers, carry out cultural and educational activities, enrich rural spiritual and cultural life, and at the same time promote the development of co-education between home and school.


The co-education between home and school in rural society should focus on the needs of several special groups. First, carry out targeted education activities for the elderly, and teach them some knowledge related to their own interests or education, which may include how to seek medical care for the elderly, how to deal with family relations, and how to raise them from generation to generation. Second, there are many left-behind children in rural areas, and the primary dilemma they face is the lack of parental companionship and the resulting psychological and behavioral problems. On the one hand, schools and communities should strengthen the guidance to parents, so that they can understand the harm of early emotional deprivation to their children. Therefore, they should go home as often as possible, contact their children as often as possible, and teach parents some operable communication methods and psychological support methods. Third, some groups such as disabled children, students with learning difficulties, students with ADHD or dyslexia are also easily overlooked in rural areas. It is necessary for schools to train teachers in inclusive education skills, and local professional institutions should strengthen inspections and screening to provide teachers with corresponding training and guidance. Schools and professional institutions should strengthen the propaganda of inclusive education ideas, improve the social integration level of humanities and hardware environment construction in rural communities, and respect, accept and help special children integrate into society.


    Promote effective communication between home and school communities and establish deep trust and cooperation.


To promote the cooperative education between home and school, we should strengthen the training of social emotional skills for all groups. Studies at home and abroad have shown that one of the main reasons for the poor cooperation between home and school is the lack of communication skills between the two sides. Effective communication is very important for all participants in educational activities and cooperative activities to reach an agreement, build mutual trust and commit to joint efforts. Both home-school communication and parent-child communication need to improve each other’s communication skills and level. To deepen the cooperation between home and school, the school should have a sense of consultation, discuss the cooperation plan with the participants, and explain the importance and influence of the matter, as well as the specific tasks that need parents to cooperate or complete.


Poor communication between home and school and lack of mutual trust are also one of the reasons why some parent committees or other types of supervision institutions are less involved in school management. In deepening the cooperation between home and school and promoting the modernization of school governance, we can strengthen the disclosure of school information and community supervision, and attract community forces to participate in school development planning or quality internal control. In terms of specific management, we can explore various forms of home-school cooperation according to the actual needs of schools. Taking students’ nutrition improvement plan as an example, schools can cooperate with farmers to build labor bases and food bases, parents can take turns to accompany meals to supervise the quality of school meals, or parents with catering experience can be invited to provide meals and management guidance. Parents or community workers can also participate in the school’s book management, security patrol, after-school service and other work. In terms of student training, the vocational skills of rural parents can also become the object of inquiry learning and the content of professional experience for students. From the perspective of serving the community, schools should take the initiative to participate in rural work and social life, such as cooperating with the community to carry out the evaluation of civilized families and healthy families, holding rural festival celebrations, participating in community development planning, etc., so that students can understand social life and participate in social services during the activities. The deep cooperation between home and school clubs can also cultivate students’ awareness of social participation and public welfare. In this process, schools can play an important irreplaceable role.


    The government coordinates resources, improves management, and strengthens the reserve of the whole society’s collaborative education ability.


In the process of forming the consciousness and ability of collaborative education in the whole society, the government needs to play a coordinating role. Schools should do a good job in social resources research, family and children’s needs research, and understand the resources and time that local communities and enterprises can use for educational projects, as well as the forms and contents that social and productive activities can be connected to courses and classroom activities. Schools can design social resource maps and preliminary curriculum planning, and the government will coordinate relevant units to jointly improve the cooperation plan.


Principals and teachers are the key groups to deepen the cooperation between home and school. It is necessary to establish a system for principals and teachers to enter enterprises and communities to receive "shadow training" (also known as "experience training" and "on-the-job training"), which will help improve their cooperative planning and implementation ability, teachers’ ability to develop off-campus resources and design practical courses, and also help principals learn from management experience, thus helping to improve the quality and efficiency of school management.


Another task that the government can do is to actively cultivate non-profit organizations or non-governmental organizations and mobilize and give play to their strength in home-school cooperation. In some areas, various modes of social participation are adopted to solve the problem of left-behind children’s after-school activities, such as the government helping to coordinate the resources and venues for activities, and parents’ unions, public welfare organizations, social work associations, returning college students and other different institutions and groups undertaking the supply of teachers, the organization of courses and activities, etc., which effectively solved the situation that the school was the single subject to carry out activities in the past, and the mind was unable to do so.


Although there are some difficulties in hardware and software resources in rural schools, as long as schools, families and society, including the government and Qi Xin, work together, support and cooperate with each other, and at the same time adhere to the initial intention of educating people and follow the laws of education, they can gather strong forces and achieve good cooperative and co-educational results.


(The writer is a researcher at China Academy of Educational Sciences. This paper is the research achievement of the key entrusted project of educational research of China Education Society, "The main forms and characteristics of child-friendly schools under the background of Chinese modernization" [No.:202300002011WTB]].

China Education News, September 3, 2023, 4th Edition 

[See you at 8 o’clock] Official notification! The doctor’s behavior in the case of "the chief physician prescribing fake drugs" does not constitute a crime

  At 8 o’clock every day, CCTV will sort out the big and small things that happened around us within 24 hours.

  [concern]

  Official notification! The doctor’s behavior in the case of "Liaocheng Chief Physician Prescribing Fake Drugs" does not constitute a crime.

  According to Weibo, the official news of Shandong Provincial Public Security Bureau, the main facts have been found out about the problem of "the chief physician in Liaocheng, Shandong Province prescribing fake drugs". On March 24th, Dongchangfu Branch of Liaocheng Public Security Bureau made a decision to terminate the investigation against Chen Zongxiang and Wang Qingwei according to law.

  After investigation, during the treatment of patient Wang Mouyu in Liaocheng Cancer Hospital, the chief physician Chen Zongxiang recommended the unapproved imported medicine "carbotinib" to Wang Mouyu’s queen, and introduced Wang Qingwei, the family member of the patient who had bought this medicine, to Wang Mouqing. At the request of Wang Mouqing’s younger brother, Wang Moguang, Wang Qingwei resold a bottle of "carbotinib" purchased for his father but not used to Wang Moguang; Later, at the request of Wang Moguang, Wang Qingwei bought a bottle of "carbotinib" from Duan Mouzhen, and made a total profit of 784 yuan.

  After verification by many parties, it was not found that Chen Zongxiang profited from it, and there was no interest relationship with the drug sales staff. There was no evidence to prove that Wang Mouyu’s death was directly related to the drug. Although his behavior is illegal, it does not constitute a crime. Dongchangfu Branch of Liaocheng Public Security Bureau made a decision to terminate the investigation according to law.

  [domestic]

  Minister of Finance: Ensure that taxes and fees of all industries are only reduced rather than increased.

  Liu Kun, Minister of Finance, said at the "China Development Forum 2019" on the 24th that a larger scale of tax reduction and fee reduction will be implemented this year, and the total amount of tax reduction and fee reduction will reach nearly 2 trillion yuan. It is necessary to ensure that taxes and fees in all industries are reduced rather than increased. Downgrading the payment standard of endowment insurance for urban workers can be reduced to 16% in all localities.

  Preliminary Determination of Disposal Scheme for Water Contaminated by Xiangshui Explosion Accident

  The rescue and emergency response to the "3.21" explosion accident in Xiangshui, Jiangsu Province entered the fourth day, and the working group sent by the Ministry of Ecology and Environment continued to guide the environmental emergency response in the local area. At present, all the work has been carried out in an orderly manner, and the emergency treatment plan for polluted water bodies has been initially determined.

  China Consumers Association: Last year, it saved 980 million yuan for consumers.

  The China Consumers Association recently revealed that in 2018, the National Consumers Association organized innovative rights protection means, focusing on the difficulties of rights protection, and the ability and level of consumer rights protection continued to improve. In 2018, the National Consumers Association accepted a total of 762,000 consumer complaints, solved 556,000 complaints, and recovered 980 million yuan in economic losses for consumers. Among them, China Consumers Association directly received 4,400 telephone calls for complaints and handled 910 complaints from consumers.

  She Wenbin, a survivor of the Nanjing Massacre, died at the age of 89.

  On March 24th, according to Weibo, the official memorial hall for the victims of the Nanjing Massacre by Japanese invaders, the old man She Wenbin, a survivor of the Nanjing Massacre, passed away at the age of 89.

  In 1937, her father, She Peigeng, was killed by the Japanese army. On December 10, 2018, the name of "She Peigeng" was engraved on the "wailing wall" along with the names of 25 other victims. She Wenbin also attended the ceremony. She Wenbin’s family said that after attending the ceremony, the old man seemed to have given up a worry, and he couldn’t afford to get sick after that.

  [international]

  The White House responded to the ITAR report: The president is completely innocent.

  The main conclusion of the investigation report of TongRumen announced that the Trump campaign team did not communicate with Russia, and there was not enough evidence to prove that Trump obstructed judicial justice. White House spokesman Sanders said on Twitter: The special prosecutor did not find any collusion, nor did he find any judicial obstacles. Minister Barr and Vice Minister Rosenstand further confirmed that there were no judicial obstacles. The findings of the Justice Department completely exonerated the President of the United States.

  Trump announced the complete removal of the "Islamic State" in the Syrian-controlled area

  US President Trump recently announced that the extremist organization "Islamic State" (ISIS) has completely lost its control areas in Syria and Iraq. In the past two years, the United States and its allies have recovered 20,000 square miles of land in Syria from ISIS.

  The "Islamic State" announced the establishment of the so-called "caliphate state" in June 2014, and once controlled a large area of land in western and northern Iraq and northern, eastern and central Syria.

  Sixteen people were killed and more than 40 others were injured in the warehouse explosion in northeastern Myanmar.

  Officials of the Second Special Zone of Shan State in Myanmar confirmed on the 24th that an explosion occurred in a local warehouse on the afternoon of the 23rd, killing 16 people and injuring more than 40 others.

  Thailand’s general election kicked off on the 24th, and the official results will be announced before May 9th.

  Thailand’s first general election after the 2014 military coup kicked off on the 24th, and the Election Commission predicted that 80% of the country’s voters would vote. The official results will be announced before May 9th. At 6: 00 am local time on the 24th, voters went to the polling stations one after another to queue up. Thai Prime Minister Ba Yu went to a polling station in Bangkok around 8: 00, waiting in line to vote.

  A Norwegian cruise ship was in distress and 1300 people were trapped: 20 people were injured by the wind and waves after the evacuation.

  A luxury cruise ship in Norway failed in the storm on the 23rd, sending out a distress signal, and more than 1,300 people were waiting for rescue. After nearly 20 hours of rescue, all the passengers were finally evacuated. The cruise company said in a statement that 20 people were injured on the cruise ship due to the influence of wind and waves.

  Cambridge University admits that China’s college entrance examination results require the province to rank in the top 0.1%

  Recently, according to the information of official website of Cambridge University, Cambridge University clearly pointed out in the "Admission Requirements" that the Chinese College Entrance Examination is an examination recognized by Cambridge University. According to the information of Cambridge official website, Cambridge University can accept the results of China’s college entrance examination, but it is required that the candidates’ scores reach the top 0.1% in the ranking of the province where they are located, and at the same time, they must meet the language requirements for applying for majors. Under normal circumstances, IELTS requires 7 points.

  At the same time, the University of Cambridge also pointed out that it would pay attention to the China students’ academic proficiency examination (HKCEE). In addition, Cambridge University also encourages China students who are interested in taking the exam to take part in the Science Olympics, or take the SAT I/II or the American college preparatory course exam.

  Experts confirm that the largest Tyrannosaurus rex in history: weighing 8,800 kilograms, took decades to rebuild bones.

  According to foreign media reports, after decades of time-consuming bone reconstruction, a team of paleontologists confirmed that the Tyrannosaurus rex fossil discovered in western Canada in 1991 is the largest Tyrannosaurus rex ever discovered in the world. According to the team of University of Alberta, this Tyrannosaurus rex named "Scotty" is 13 meters long and probably weighs more than 8,800 kilograms, surpassing all carnivorous dinosaurs found in the past.

  Society

  The stranded cruise ship off the coast of Beihai, Guangxi has successfully disembarked safely.

  According to the official WeChat news of the Ministry of Transport, at 7: 45 on March 24, after all-out rescue, the North Sea tourist passenger ship "Beiyou 25" stranded offshore successfully took off. At present, the ship has docked and the passengers have disembarked safely and been properly placed. According to previous reports, on March 23, the North Sea tourist passenger ship "North Tour 25" (with 770 tourists and 24 crew members on board) ran aground about 300 meters off the west corner pier of Weizhou Island.

  A man wearing a "kimono" entered Wuda University to enjoy cherry blossoms and was suspected of being beaten by security guards: I wore a Tang suit.

  On the afternoon of March 24th, next to the Teaching Building No.5 of Wuhan University, the school security guards had a physical conflict with two young men enjoying cherry blossoms. In the early morning of March 25, the Luojiashan Police Station of Wuhan Public Security Bureau replied that the cause of the conflict was that one of the men wearing a similar kimono entered the school to enjoy cherry blossoms. The video shows that a young man wearing a kimono-like costume was overturned by security guards. When he got up, he said, "I am wearing a Tang suit."

  The 19-year-old man was pessimistic and world-weary, killing the driver of the network car for no reason. He has been detained.

  According to Weibo, the official news of Dingcheng District Public Security Bureau in Changde City, Hunan Province, a murder case occurred in Jiangnan District of Changde City in the early morning of the 24th, and a network car driver was killed.

  After preliminary investigation by the public security organs, on the night of March 23, the suspect Yang Mouqi (male, aged 19, from Wuling District) took a network car from Wuling District to Jiangnan City. At about 0: 00 on March 24, when getting off the bus near Changnan Bus Terminal, Dahu Road, Jiangnan City, Yang Mouqi, who was sitting in the back row, took the driver Chen Mou unprepared and stabbed Chen Mou several times, causing Chen Mou to die. Yang Mouqi surrendered himself to the public security organ afterwards. According to Yang Mouqi’s confession, he had suicidal thoughts because of pessimism, and he killed the driver Chen Mou for no reason because of mental breakdown that night.

  Kindergarten responded that many boys were photographed by the teacher: for doctors to check.

  On March 24th, parents of many students in Shenzhen Meilin Kindergarten said that from March 21st to 22nd, parents learned from their children that many boys were photographed by their teachers on March 20th, with the number reaching more than ten. On March 24, the person in charge of a kindergarten surnamed Xiao responded that the teacher involved found that the child was playing with the lower body, and took photos of the child’s lower body for safety reasons and passed them on to the doctor for inspection and use. At present, Futian District Education Bureau and public security organs have been involved in the investigation.

  Six passengers were injured when a 60-year-old man dragged the driver in Deyang, Sichuan.

  On the 24th, the Public Security Bureau of Deyang City, Sichuan Province issued an alert notice in its official Weibo "Deyang Public Security Bureau", saying that a man in his sixties dragged a bus driver and caused a crash, injuring six passengers on the bus. The suspected man Wang Moumou has been under police control.

  Guangdong Maoming police urgently frozen 30 bank cards with more than 20 million yuan of fraudulent funds.

  Maoming police in Guangdong reported on the 24th that recently, the anti-fraud center of Maoming Public Security Bureau responded quickly, and through online and offline simultaneous fund tracing, 30 bank cards of the suspects involved were urgently frozen, and the funds involved were successfully frozen at 22.4165 million yuan. At present, the ownership of funds is still being further verified.

  Female employees of a rice noodle shop in Guangyuan, Sichuan Province dozed off and their palms were "swallowed up" by a dough press.

  In the early morning of March 24, in a rice noodle shop in Guangyuan City, Sichuan Province, fire rescue workers were carrying out emergency rescue for a female employee whose right hand was stuck in the dough press. It is understood that at the time of the incident, the woman was preparing pasta to be sold during the day. Because she was sleepy and dozed off, when she sent the noodles to the dough press, the palm of her hand accidentally got involved in the dough press, which led to the accident. Firefighters immediately used tools such as electric expansion pliers and crowbar to pry open the dough pressing wheel and successfully took out the stuck palm. At present, the trapped people have been taken to the hospital for further treatment.

  [Sports]

  The first show of the Sun Yang championship advanced to the final to fight for the dead friend

  The 2019 National Swimming Championship and World Championships trials started in Qingdao on the 24th. Sun Yang, the captain of China swimming team and Olympic champion, advanced to the final that night with the first place in the men’s 400m freestyle preliminaries that morning. Sun Yang said after the game that the final will not only fight for himself, but also for Hong Kong swimmer Du Jingqian who died this month.

  See you at 8 o’clock tomorrow!

  Editor: Xinyu Huang Zuochun

To make electric cars more fun, Krypton 001 used these black technologies.

How to replace fuel vehicles with electric vehicles? This proposition has been discussed in the automobile market for many years, and the answers given are varied, but in the final analysis, if electric vehicles want to completely replace fuel vehicles, they will eventually surpass fuel vehicles in the most basic use pleasure. Only in this way can electric vehicles truly have the market-oriented foundation for consumers to buy spontaneously.

On how to make electric vehicles surpass fuel vehicles in an all-round way, the solution given by Krypton 001 is very representative-since its debut, Krypton 001 has clearly conveyed the significance of the existence of electric vehicles to the market with its high performance and high intelligent product orientation-it can greatly reduce the operating threshold of intense driving, make driving more enjoyable, and it can also make technology more intelligent.

More importantly, Krypton 001 has also been endowed with the quality of scientific and technological products-the ability of rapid iteration. Not long ago, krypton 001 continued to evolve. In addition to the release of ZEEKR OS 3.0 upgrades covering four major areas of the vehicle, it has been further upgraded in three major areas: intelligent drive, intelligent cockpit and intelligent driving. On the basis of the original version of Krypton 001, the ME version of the ultra-long battery life Gemini electric drive system is added, with a price of 349,000 yuan, and there will be a more powerful YOU version later.

Electric vehicles, as the name implies, are driven by motors. Compared with the internal combustion engine drive of the fuel vehicle, the output characteristics of the motor with constant power and constant torque completely solve the shortcomings of the traditional fuel vehicle, and greatly reduce the complexity of the transmission system.

The electric drive system of Krypton 001 adopts two high-performance permanent magnet synchronous motors, which are completely symmetrical in front and back, with a rated output of 400 kW. After amplification of the reducer, the maximum wheel end torque can reach 7680 Nm. As a result, Krypton 001 can easily accelerate from 0 to 100 km/h in 3.8 seconds. The newly-launched Krypton 001 ME model and the upcoming YOU model are exactly the same in power configuration.

What makes the Krypton 001 even more powerful is the first black technology in mass production in the world-the lightning switching intelligent four-wheel drive system, which will be carried on the YOU version. This lightning switching four-wheel drive system is based on the high energy consumption brought by high performance, and provides consumers with a set of solutions that can take into account both high performance and long battery life. This system can complete the intelligent switching between rear drive and four-wheel drive in the blink of an eye of 0.4 seconds.

Logically, this system is based on two permanent magnet synchronous motors symmetrically arranged at the front and rear axles of Krypton 001. By controlling the output of the motors at the front and rear axles, Krypton 001 can distribute the driving force to the front and rear axles more accurately. The working principle of the whole system is based on software, just like turning on the switch of a motor. Compared with the traditional fuel vehicle, which needs a set of mechanical structure such as transfer case, differential, power take-off and so on, the way to realize four-wheel drive of Krypton 001 is obviously much simpler. This is the progress of technology, which allows engineers to realize more diversified performance expressions in a broader space.

Under the action of lightning-switched four-wheel drive system, Krypton 001 can realize the intelligent switching of three driving modes: full-time rear drive, timely four-wheel drive and full-time four-wheel drive. While ensuring the ultimate performance of 3.8 seconds and zero acceleration, it has obtained a longer cruising range. According to the data, after the lightning switching four-wheel drive system is equipped, the cruising range of CLTC has increased by 34 kilometers.

Diversified driving mode choices have also enabled the Krypton 001 to meet the needs of more practical scenarios, thus meeting the diversified product requirements that traditional fuel vehicles can’t match. In fashionable terms, it is sweet and salty.

DTCS system is also the embodiment of the advantages of Krypton 001 electric vehicle.

Extreme Krypton 001 is equipped with an intelligent anti-skid dTCS distributed traction control system specially developed for electric vehicles. This system can instantly distribute the torque at the wheel end with a processing speed of 10 times faster than that of the traditional TCS traction control system when there are signs of slipping at the wheel end, thus increasing the grip of the driving wheels, so that the driver can stabilize the body more quickly and improve the ultimate handling ability of the vehicle.

From the data point of view, after equipped with dTCS distributed traction control system, the maximum controllable speed of Krypton 001 can be increased by 5-15 km/h when testing the limit cornering speed on an ice ring with a diameter of 200-250 meters. On the one hand, this will strengthen the extreme handling experience of Krypton 001, on the other hand, it will also greatly improve the safety of Krypton 001 in extremely slippery road conditions.

Extreme Krypton 001 is built on the vast platform of SEA. This platform is an intelligent evolutionary experience architecture, and it is the first in the industry to realize an intelligent architecture with pluggable hardware and upgradeable software.

At the same time as the release of the new car, the cockpit of Krypton 001 has also been fully upgraded. The new cockpit will be officially equipped with the 8155 intelligent cockpit computing platform, and a new generation of Krypton intelligent cockpit based on the 8155 computing platform will be upgraded for all users free of charge.

The 8155 computing platform carried by the Krypton 001 intelligent cockpit consists of 7 nm 8-core CPU, 16G memory and 128G storage space. The computing power and storage bandwidth of the whole system provide a hardware and peaceful foundation for users to upgrade richer in-vehicle applications. The interface of the slide-down menu can also be customized by users with 18 common functions, so that the car system has the same personalized definition ability as the smart phone.

The most important thing is that the hardware can be plugged and unplugged, which also makes it very simple for old users to replace the complete intelligent cockpit domain controller. The nondestructive installation mode can be completed with only four screws.

In addition to the intelligent cockpit, the intelligent driving of the Krypton 001 has also undergone a comprehensive evolution. This new full-speed active cruise control system can make the Krypton 001 automatically adjust the car-following distance based on the driving speed in the speed range of 0-130 km/h, so as to realize the intelligent car-following closer to the driver’s driving habits. This function also enables the vehicle to automatically turn with the lane line in the lane.

It is worth mentioning that Krypton 001 also introduced the "antelope hedging" function. When the vehicle encounters a pedestrian or a non-motor vehicle on the roadside, the vehicle will actively slow down to ensure safe passage; When there is a large vehicle in the adjacent lane, Krypton 001 will imitate the driver’s driving mode and take the initiative to avoid it safely and smoothly; When there is a vehicle stopping in the emergency lane or opening the door to occupy the road, Krypton 001 will slow down and avoid without changing lanes.

It can be said that thanks to the architectural advantages of SEA’s vast platform, the iterative evolution of Krypton 001 has become more convenient and intelligent, thus having the ability to realize comprehensive evolution.

Generally speaking, the progress of intelligence and electrification has made Krypton 001 surpass the concept of traditional cars. Electric power and the blessing of SEA’s vast platform make it easier to obtain higher performance orientation. The progress of intelligence also allows it to maintain enough freshness through continuous iterative upgrading.

And this is precisely the change brought by technology, and it is also the key for electric vehicles to completely replace fuel vehicles.

[Beautiful China Online Media Eco-trip] In the past, the mud field was today’s ecological park. Guiyang restored the ecological "small" investment and incited the output value of 6 billion.

  Guiyang, October 22 (Reporter Zhu Yansheng) "It used to be a wasteland, and no one wanted to come over. Now that the park has been built, real estate has come in and the land has fully realized its value. " Long Bang Mei, director of the Ecological Civilization Construction Bureau of qingzhen city, Guiyang, and director of the Soil Department of Guizhou Provincial Environmental Protection Department, pointed to the comparison chart before and after the demonstration project of comprehensive treatment of mercury pollution in qingzhen city, qingzhen city Hongfeng Ecological Sports Park, Guiyang (hereinafter referred to as "Sports Park"), and was filled with emotion.

  Sports Park is located in Qinglong Village, Xinling Community, qingzhen city. There is also a piece of cultivated land polluted by mercury in the park. "It looks no different from ordinary crops. In fact, all mercury is detected by instruments." Long Bangmei said that the crops planted in this land will not be eaten or sold, just to warn people who come to the environmental protection park not to forget history.

  "Time Bomb" in "Mud Field"

  "Soil pollution control is very different from water pollution and air pollution control. First of all, the soil is relatively solidified. If people don’t enter this area, or don’t eat the fleshy food on it, it may not be greatly affected, "said Zhang Weiwei, head of the environmental supervision office of qingzhen city, Guiyang, but it is always like a" time bomb ".I don’t know that something will go wrong that day.

  In 1960s, the Minamata disease incident in Japan caused a sensation in the world. The reason was that chemical plants discharged untreated mercury-containing wastewater into Minamata Bay, and heavy metal mercury entered the food chain, which led to limb paralysis, mental disorder, body bending or death. Therefore, this incident became one of the eight public hazards in the world.

  In the 1970s, the former Guizhou Crystal Organic (Group) Co., Ltd. (hereinafter referred to as "Crystal Company") used mercury as catalyst to synthesize acetic acid. During the 17-year production, a large amount of untreated mercury-containing wastewater was discharged to the outside world, resulting in mercury pollution in the soil along the right second tributary of Dongmen River in Qinglong Village.

  According to the investigation of Guizhou Academy of Environmental Sciences, the area polluted by mercury in Qinglong Village is about 560 mu, and the total mercury content ranges from 0.3 to 810.0mg/kg. Among them, 20 mu is heavily polluted, 343 mu is moderately polluted and 197 mu is lightly polluted.

  "In the past, our feet were actually a muddy field. When it rains, we can only wear water boots here." Long Bang Mei pointed to the plastic runway at her feet and described the scene of the sports park before the restoration.

  "When the mercury in the soil enters the river through rainwater, a methylation reaction occurs, and if humans touch it, they will be poisoned by mercury." Zhang Weiwei said: "Because the water in this river area will eventually enter the drinking water source area of Baihua Lake, if pollution cannot be completely controlled, it will bring great ecological and environmental risks."

  "Dare to eat crabs" covers the soil for 3 meters to seal up the contaminated soil.

  In 1997, Crystal Company was forbidden to use mercury catalyst process to synthesize acetic acid. After the market change, the competitiveness of enterprises declined, and it went downhill after 2003. Crystal Company went bankrupt, unable to bear the cost of restoration and governance, and the governance task fell on the shoulders of local party committees and governments.

  However, at that time, there were no mature standards and reference cases for mercury pollution control and repair at home and abroad. At the beginning of 2015, Guizhou Academy of Environmental Sciences undertook the remediation technology, using low-temperature pyrolysis technology to extract heavy metal mercury from soil, but the cost of treating each ton of polluted sludge was nearly 800 yuan/ton.

  Zhang Wei said, "According to this calculation, it is necessary to repair and control farmland soil, and the cost is not enough. Moreover, the mercury content in the sediment after low-temperature pyrolysis is still far higher than the third-grade standard of soil, and the treatment effect cannot completely remove mercury."

  In order to make the remediation plan safer, in 2016, qingzhen city consulted the Institute of Geochemistry of Chinese Academy of Sciences, Guizhou Institute of Environmental Sciences and other scientific research units for many times, and repeatedly studied the key core of mercury pollution characteristics, pollution risks, sources and destinations, which directly affected the ecological benefits. After nine expert demonstrations, it finally decided to adopt the principle of "no migration, no diffusion and risk control" and adopt the technical path of "covering soil+phytoremediation" for remediation.

  In February 2017, the Environmental Protection Department of Guizhou Province organized experts to review the implementation plan of the project, and determined the treatment technical path of "covering soil+phytoremediation", and simultaneously built an eco-environmental park to achieve the effect of restoration and treatment.

  Long Bangmei said that the Institute of Geochemistry, China Academy of Sciences believes that covering 5 cm thick pure soil can effectively prevent mercury evaporation. However, in order to ensure that mercury will not be evaporated and washed away by rain, the sports park is covered with about 40,000 square meters of soil, with the shallowest thickness of 1 meter and the deepest depth of 3 meters.

  Long Bangmei introduced that a 2-meter-wide and 2.7-kilometer-long barrier wall and ecological barrier were cast with cement along the left second tributary crossing the sports park to prevent mercury-contaminated soil from entering the left second tributary.

  According to reports, since the project started construction in March 2017, 570 mu of farmland soil and 3.4 kilometers of rivers have been treated, and 10 innovative explorations have been made to achieve a win-win situation in ecological and economic benefits.

  Using 160 million yuan to restore the ecology and incite the output value of 6 billion yuan around.

  The hardest hit area once polluted by mercury has now become a beautiful park with clear rivers and green trees. Now, it is autumn, and the red maple in the sports park is everywhere. In the sports park, indoor badminton professional venues, five-a-side football courts, basketball courts and other sports facilities have been built.

  At present, there are more than 7,000 trees planted in the sports park, including Photinia rubra, Magnolia grandiflora, Acer truncatum, weeping willow, Cinnamomum camphora, Taxodium ascendens and Populus canadensis, covering 20,000 square meters of ground cover plants to fix the covered soil and prevent rain from washing the soil into the river.

  At 10: 00 am on the 22nd, Aunt Zhang, who was practicing Wuqinxi alone in the sports park, lived nearby. Usually, I will come here with my friends to exercise. She said, "Now the environment in the sports park is very reassuring and suitable for fitness."

  "Before the park was built, the citizens were scared and afraid to come in." Zhang Weiwei said, "Generally, if mercury does not produce a chemical reaction of methylation, it is unlikely to be poisoned when the human body contacts it." At present, there are dozens of exhibition boards in the environmental protection park to control mercury pollution in the soil for the public. After learning more, the citizens began to recognize the restoration project of the environmental protection park.

  Mud fields in the past, today’s ecological park. At the same time of controlling mercury pollution, qingzhen city has built an eco-environmental protection park in situ, giving citizens a new place for leisure and entertainment.

  "On May 1 this year, the sports park opened on a trial basis, and it is expected to officially open at the end of this year." Long Bangmei said that the park has been repaired and the value of the surrounding land has also increased.

  Long Bang Mei calculated an account for the reporter. The total investment of the sports park is about 160 million yuan, but only according to the lowest price of land development in the market of 1 million yuan per mu, the surrounding real estate projects cover an area of about 6,000 mu, which is equivalent to the investment of 160 million yuan, inciting the output value of 6 billion yuan.

  Through practice, qingzhen city has found a reasonable scheme for mercury pollution control, which has achieved a win-win situation in both ecological and economic benefits and provided a "clean town sample" for mercury pollution control.

  Now qingzhen city is also preparing to build the park into a national demonstration site for heavy metal pollution control, as well as a study and visit site for environmental public education in Guizhou Province, a study and demonstration site for environmental protection in primary and secondary schools in Guizhou Province, and a demonstration site for green development education in Guizhou Province.

Lei Jiayin self-styled beauty blogger brought "Whistler" Tang Wei as a guest live broadcast.


1905 movie network news On November 29th, Lei Jiayin and Tang Wei brought their films to Tik Tok for live broadcast. Lei Jiayin and Tang Wei not only interacted with the audience live with Tik Tok talent "Redundant and Sister Mao Mao", but also sent preferential movie ticket benefits to promote the film. The two people who came to Tik Tok for live broadcast for the first time also shared the bits and pieces behind the scenes of the movie with the audience, and the high-energy interaction between the live broadcasts was even more unforgettable.

On the night of the live broadcast, the cumulative number of online viewers exceeded 10 million, and the topic movie whistler and topic whistler were always on the hot topic list in Tik Tok, with a cumulative discussion volume of 170 million and more than 100 million people touched.

Lei Jiayin, who was humorous at the beginning of the live broadcast, started the shouting mode and shouted to netizens: "Come on, come and see Tang Wei!" Tang Wei, who experienced the live broadcast for the first time, became a curious baby. Not only was she very interested in the content of the barrage, but the special effects on the screen of her mobile phone also made her very novel, and she couldn’t help asking questions to the anchor frequently. After the interactive session, the two were even more energetic. Not only did they sing "Little Jumping Frog" and learn Guizhou dialect from the anchor, but Lei Jiayin also joked at the scene that he was a beauty blogger, and his skin was blown to pieces. At that time, the live broadcast room was full of laughter.

When asked about their first impressions of each other, Lei Jiayin said that Tang Wei was no different from what he imagined, while Tang Wei thought that Lei Jiayin in reality had a label of sleeping more than he imagined. When it comes to the biggest challenge of this play, Lei Jiayin thinks that English lines are a challenge of this play, but from the feedback of the audience during the road show, it seems that they have performed well, calling themselves "English Boy".

The movie Whistleblower tells the story of Marco (Lei Jiayin), an Australian Chinese employee, who was forced to face layers of hunting because of the sudden appearance of his ex-girlfriend Zhou Wen (Tang Wei). As they went to Africa to find the truth, Marco realized that a bigger conspiracy was gradually emerging.

At the special premiere of the Golden Rooster and Hundred Flowers Film Festival, many star friends praised the film after watching the movie. Yao Chen said that "the texture was great, exceeding expectations", while Liang Jing was immersed in it "especially amazing, and the whole rhythm was particularly good, making a film that was very beyond the commercial level of China", while Zufeng sighed: "The hero made a choice and believed in his conscience, which made me very shocked".The film "Whistleblower" will be released on December 6th, and it has been fully pre-sold.


Huatai computer: measuring the global AI computing space from the evolution of large model

We believe that from the evolution path of the large model, the volume of the model will be further expanded, which will bring about the continuous growth of computing power demand. In the long run, the operation of the mature big model is expected to bring an incremental server market of $316.9 billion, which still has a large room for growth compared with the global AI server market of $21.1 billion in 2023. Based on this, we believe that the continuous iteration of the large model is expected to bring a large number of computing infrastructure needs, and it is recommended to pay attention to the investment opportunities in the computing industry.

Core view

Global demand for AI computing power continues to rise

With the continuous iteration of the large model, the capability of the model is constantly enhanced, which is the result of the increasing number of model parameters and data sets under "Scaling Law". We believe that from the evolution path of the large model, the volume of the model will be further expanded, which will bring about the continuous growth of computing power demand. Specifically, the demand for computing power of large models is reflected in three links: pre-training, reasoning and optimization. According to our calculation, taking the 100 billion parameter model as an example, the total computing power of the three links is about 180,000 PFlop/s-day, which corresponds to 28,000 pieces of A100 equivalent GPU computing power. In the long run, the operation of the mature big model is expected to bring an incremental server market of $316.9 billion, which still has a large room for growth compared with the global AI server market of $21.1 billion in 2023. Based on this, we believe that the continuous iteration of the large model is expected to bring a large number of computing infrastructure needs, and it is recommended to pay attention to the investment opportunities in the computing industry.

The volume of the model is getting bigger and bigger, which drives the demand of computing power construction.

Large Language Model (LLM) is a model pre-trained on a large number of data sets, which shows great potential in dealing with various NLP tasks. The appearance of Transformer architecture opens the way for the evolution of large-scale models. With the increasing number of decoding modules, the parameters of the model continue to increase, and gradually evolve into different versions of models such as GPT-1, GPT-2, GPT-3, PaLM, Gemini, etc., and the parameters also increase from billions to billions and trillions. We can see that the evolution of each generation of models has brought about the enhancement of capabilities, and a very important reason behind it lies in the growth of parameters and data sets, which has brought about the continuous improvement of model perception, reasoning and memory. Based on the scaling law of the model, we believe that the future model iteration will continue the path of larger parameters and evolve more intelligent multi-modal capabilities.

The computing power requirements of large models are embodied in: pre-training, reasoning and optimization.

From the perspective of disassembly, the computing power demand scenarios of the large model mainly include pre-training, Finetune and daily operation. For the three parts of computing power demand, our calculation ideas are as follows: 1) pre-training: based on the assumption of "Chinchilla scaling law", the amount of calculation can be described by formula C≈6NBS; 2) Reasoning: Based on ChatGPT traffic, the amount of calculation can be described by formula C≈2NBS; 3) Tuning: Backstepping by tuning the required GPU core hours. Taking the pre-training/reasoning/optimization of the 100 billion parameter model as an example, the computational power requirements of the three links are 13889, 5555.6 and 216 PFlop/s-day respectively. We believe that under the blessing of Scaling Law, with the growth of model volume, the demand for computing power is expected to be released continuously.

Infrastructure demand is expected to continue to be released, focusing on investment opportunities in computing industry.

Combined with the calculation of computing power demand for pre-training/reasoning/optimization of large models, we predict that the demand for A100 equivalent GPU will be 28,000 from development to mature operation of a 100 billion model. According to our calculation, the operation of the mature big model is expected to bring the global AI server incremental market of $316.9 billion. In contrast, according to IDC, the global AI server market will be 21.1 billion US dollars in 2023, and it is estimated that CAGR will reach 22.7% in 2024-2025, and there is still much room for growth in the future. In addition, considering the limited access to high-performance chips in China, the localization of AI GPU is also expected to accelerate further.

Risk warning: macroeconomic fluctuation, lower-reaches demand less than expected, and the calculation results may be biased.

main body

"Scaling Law" drives the demand for large-scale model computing power to grow continuously.

The appearance of Transformer opens the way for the evolution of large models. Large Language Model (LLM) is a model that is pre-trained on a large number of data sets, and the data is not adjusted for specific tasks. It shows great potential in dealing with various NLP (Natural Language Processing) tasks, such as natural language understanding (NLU) and natural language generation tasks. According to the development of LLM in recent years, its routes are mainly divided into three types: 1) encoder routes; 2) codec route; 3) decoder route. From the development characteristics: 1) the decoder route is dominant, which is attributed to the excellent performance of GPT-3 model in 2020; 2)GPT series models keep ahead, or it is attributed to OpenAI’s insistence on its decoder technology; 3) The model closed source has gradually become the development trend of head players, which also originated from the GPT-3 model, and companies such as Google have begun to follow suit; 4) The codec route is still developing continuously, but the number of models is less than that of the decoder route, or due to its complex structure, it has no obvious advantages in engineering implementation.

The large model may evolve towards larger parameters. We see that from GPT-1 to GPT-4 model, and from PaLM to Gemini model, the capabilities of each generation of models are constantly strengthening, and the achievements in various tests are getting better and better. As for the source of capability behind the model, we think that parameters and data sets are the two most important variables. From the scale of one billion to tens, hundreds and trillions, the increase of model parameters is similar to the increase of the number of human synapses, which brings about the continuous improvement of model perception, reasoning and memory. The increase of data sets is similar to the process of human learning knowledge, which constantly strengthens the model’s ability to understand the real world. Therefore, we believe that the next generation model will continue the route of larger parameters and evolve more intelligent multi-modal capabilities.

From the perspective of disassembly, the computing power demand scenarios of the large model mainly include pre-training, Finetune and daily operation. From the practical application of ChatGPT, starting from the framework of training+reasoning, we can further divide the computing power requirements of the large model into three parts according to the scene: 1) Pre-training: training the basic language ability of the model mainly through a large number of unmarked plain text data, and obtaining a basic large model like GPT-1/2/3; 2)Finetune: On the basis of completing the pre-trained large model, conduct two or more trainings, such as supervised learning, reinforcement learning and transfer learning, to optimize and adjust the model parameters; 3) Daily operation: based on the information input by users, the model parameters are loaded for reasoning and calculation, and the feedback output of the final result is realized.

Pre-training: the demand for computing power is expected to continue to grow under the scaling law

The pre-training effect of large model is mainly determined by parameter quantity, Token quantity and calculation quantity, and it satisfies the "scaling law". According to the paper Scaling Laws for Neural Language Models published by OpenAI in 2020, in the process of large language model training, the parameters, the number of Token and the amount of calculation have a significant impact on the performance of large models. For the best performance, these three factors must be amplified at the same time. When it is not restricted by the other two factors, the model performance has a power law relationship with each individual factor, that is, it satisfies the "scaling law".

OpenAI thinks that the calculation amount of model pre-training can be described by formula C≈6NBS. According to the paper Scaling Laws for Neural Language Models published by OpenAI in 2020, the computational power (c) required for pre-training a Transformer architecture model is mainly reflected in the process of forward feedback () and backward feedback (), and is mainly determined by three variables: model parameter quantity (n), Token batch consumed in each training step (b) and iteration times required for pre-training (s). Among them, the product of b and s is the total number of Token consumed by pre-training. Based on this, we can use C≈6NBS to describe the computational power required for pre-training of large models.

Among them, OpenAI believes that the model parameter is the most important variable, and the larger the parameter, the better the model effect. OpenAI believes that as more computing becomes available, model developers can choose how much to allocate to train larger models, use larger batches, and train more steps. Assuming that the amount of computation increases by one billion times, most of the increase should be used to increase the model size in order to obtain the optimal training of computational efficiency. In order to avoid reuse, only a relatively small data increment is needed. Among the increased data, most of them can increase the parallelism by larger batch size, and the required serial training time only increases a little.

Google put forward "Chinchilla scaling law", which holds that model parameters and training data sets need to be scaled up in equal proportion to achieve the best results. According to "Training Compute-Optimal Large Language Models" published by Google DeepMind in 2022, the relationship between the model performance and the number of tokens and the amplification of parameters required for model pre-training is not linear, but the best model effect can be achieved when the number of model parameters and the number of training tokens reach a certain ratio. In order to verify this rule, Google trained a 70-billion-parameter model ("Chinchilla") with 1.4 trillion Tokens, and it was found that its effect was better than that of Gopher, a 280-billion-parameter model trained with 300 billion tokens. Further research by DeepMind found that the approximate relationship between the parameter quantity of the optimal language model and the data set size satisfies: D=20P, where d represents the number of Token and p represents the parameter quantity of the model, that is, it satisfies the "Chinchilla scaling law" at this ratio.

We estimate that the computational power required to train the 100 billion parameter model is above 10,000 PFlop/s-day. We assume that the models with different parameters and volumes all satisfy the "Chinchilla scaling law", so as to calculate the optimal data set size required by different models and the computational power required for pre-training. Taking a large language model with 100 billion parameters as an example, the number of training Token required under "Chinchilla scaling law" is 2 trillion. According to the computational formula C=6NBS proposed by OpenAI, it can be calculated that the computational power required to train the 100 billion parameter model is about 1.39X10 4 pflop/s-day. Similarly, the computational power required for training a 500 billion parameter model is about 3.47× 10 5 p flop/s-day, and that for training a 1 trillion parameter model is about 1.39× 10 6 p flop/s-day.

Reasoning: High concurrency is the main driving force of reasoning computing requirements.

The underlying architecture of GPT model is composed of decoder modules. In a large language model such as GPT, the decoding module is equivalent to the basic architecture unit, and the underlying architecture of GPT model is pieced together by stacking each other. The number of decoding modules determines the scale of the model. Generally, GPT-1 has 12 modules, GPT-2 has 48 modules and GPT-3 has 96 modules. The more modules there are, the greater the model parameters and the larger the model volume.

The decoding module realizes large model reasoning by calculating tokenized text data. According to the paper "Scaling Laws for Neural Language Models" published by OpenAI in 2020, after the large model is trained, the model itself has been fixed, and the reasoning application can be carried out after the parameter configuration is completed. In essence, the reasoning process is to traverse the parameters of the large model again. By inputting the vector encoded by the text, the result is output and converted into words through the calculation of the attention mechanism. In this process, the parameters of the model depend on the number of model layers, the number of feedforward layers, and the head of attention mechanism layer.

The computational power required in the reasoning process can be described by the formula C≈2NBS. Because the decoding module mainly performs forward propagation in the process of reasoning, the main calculation amount is embodied in text coding, attention mechanism calculation, text decoding and so on. According to the calculation formula given by OpenAI, every time a Token is input and goes through such a calculation process, the required amount of calculation is =2N+2, in which the second half of the formula mainly reflects the size of the context window. Because this part accounts for a small proportion of the total amount of calculation, the required bytes are often expressed in K level, so it is often ignored in the calculation. Finally, we get that the calculation requirement of large model reasoning is the product of a single calculation and the number of Token, that is, C≈2NBS.

With the same number of visits to ChatGPT, we expect that the computing power required for the reasoning of the 100 billion model will be more than 5000 pflop/s. According to Similarweb data, ChatGPT visited official website 1.8 billion times in March 2024. We assume that there will be 10 questions and answers for each user visit, and the number of tokens consumed in each question and answer is 800, so it is calculated that the number of tokens consumed by ChatGPT official website in April is 06 million. Considering that the computing infrastructure construction is determined according to the peak demand rather than the average demand, we further assume that the peak Token demand is five times the average. Finally, assuming that different parametric models have the same access to ChatGPT, according to the formula of C≈2NBS, the reasoning power requirements per second of 1000, 5000 and 1000 billion parametric models are 5555.6, 27777.8 and 55555.6 PFlop/s, respectively.

Tuning: The computing power demand mainly depends on the tuning times.

After the pre-training, the parameters of the large model need to be optimized to meet human needs. Generally speaking, after the pre-training, large language models need to be continuously Finetune to achieve better running results. Taking OpenAI as an example, the process of model tuning adopts human feedback mechanism (RLHF). Reinforcement learning guides model training through Reward mechanism, which can be regarded as the loss function of traditional model training mechanism. The calculation of reward is more flexible and diverse than the loss function (for example, the reward of AlphaGO is the outcome of the game), but the price is that the calculation of reward is not derivative and cannot be directly used for back propagation. The idea of reinforcement learning is to fit the loss function through a large number of samples of rewards, so as to realize the training of the model. Similarly, human feedback is not derivable, and it can also be used as a reward for reinforcement learning, resulting in reinforcement learning based on artificial feedback.

Taking ChatGPT as an example, the tuning process mainly goes through three steps. Based on the reinforcement learning technology of human feedback, the tuning process of ChatGPT is mainly divided into three steps: 1) training supervision model; 2) Training reward model; 3) Strengthen the learning of PPO parameters. After optimization, the parameters of the model will be updated, and the generated answers will be closer to the expected results of human beings. Therefore, the demand for computing power in the tuning process is actually similar to that in the pre-training, and the model parameters need to be traversed, but the data set used will be much smaller than that in the pre-training.

The computational power requirement of large model tuning can be reversed by the number of GPU kernel hours needed for tuning. For the computing power requirement of large model tuning, we use the method of actually consuming GPU core hours to push back. According to Deepspeed Chat (Microsoft’s service provider focusing on model tuning), it takes 9 hours to tune a 13 billion model, using 8 A800 accelerator cards. According to NVIDIA official website, the peak computing power of A800 accelerator card is about 312 TFLOPS(TF32, using sparse technology). According to this calculation, it takes about 0.9 PFlop/s-day to tune a 13 billion parameter model. By analogy, the computational power required for once tuning the 30 billion, 66 billion and 175 billion parametric models is 1.9, 5.2 and 8.3 PFlop/s-day respectively.

We estimate that the computing power required to tune the trillion parameter model every month is above 2000PFlop/s-day. For the convenience of comparison, we further assume that the models with different parameters are all tuned by a single A800 server instance (that is, eight A800 accelerator cards), and the training duration is proportional to the model parameters. In addition, considering the problem of tuning times, we assume that large model manufacturers need to tune the model 30 times a month. Based on this, we calculated that the computational power required for the monthly optimization of 100 billion parameter models is 216 PFlop/s-day, and that for the monthly optimization of 1 trillion parameter models is 2160 PFlop/s-day.

The demand for computing infrastructure is expected to continue to be released, paying attention to the opportunities of computing industry.

Large-scale model training/reasoning/tuning brings computing hardware requirements. At present, the mainstream method is to use AI server to carry the computing requirements of large models, and the core devices are AI GPU, such as NVIDIA A100, H100, B100, etc. According to NVIDIA, the peak computing power of a single A100 accelerator card TF32 is 312 TFLOPS (using sparse technology) and that of FP16 is 624 TFLOPS (using sparse technology). Considering that in the actual workload, multi-card interconnection is often used for model training and reasoning, it is necessary to consider the problem of effective calculation. According to the GPT-Neox-20b: An Open-Source Autoregressive Language Model published by Sid Black et al. in 2022, the effective computing power of a single card is about 117 TFLOPS(TF32, using sparse technology), that is, the effective computing power ratio is 37.5%. We assume that the effective computing power ratio of the reasoning process is equivalent to that of the training process, and the reasoning computing power of a single card is 234 TFLOPS(FP16, using sparse technology).

We estimate that the demand for A100 equivalent GPUs for training/reasoning/tuning of the 100 billion model is 28,000. For the number of computing infrastructure needed for large models, we measure it by the number of GPU/ servers. According to our calculation framework, the total demand for computing power of large model is the sum of computing power demand of pre-training, reasoning and optimization. Considering that after the model pre-training, the infrastructure such as servers will usually be used for the development of the next generation model, we assume that the computing power requirements of pre-training, reasoning and tuning will occur concurrently. In addition, we assume that the training, reasoning and tuning are all completed within one month. Based on this, it is estimated that the demand for A100 GPU for the 100 billion parameter model is 28,000, that for the 500 billion model is 218,000, and that for the 1 trillion model is 634,000. We further assume that all servers are integrated with eight A100 acceleration cards, so the demand for AI servers in the 1000, 5000 and 1000 billion parameter models is 0.3, 27,000 and 79,000 respectively.

The operation of the mature big model is expected to bring the AI server market space of $316.9 billion. According to the Research Report of China Artificial Intelligence Large Model Map released by China Institute of Science and Technology Information, as of May 2023, 202 large models have been released in the world, and the number of large models in China and the United States accounts for nearly 90% of the global total. We predict that the number of large models in the world is still increasing, but with the iteration of large models, the competition among model manufacturers will gradually become balanced. Based on this, we conservatively assume that in the future, 30 manufacturers will realize the mature operation of 100 billion parameter models, 20 manufacturers will realize the mature operation of 500 billion parameter models, and 10 manufacturers will realize the mature operation of 1 trillion parameter models. According to JD.COM, a single Inspur NF5688M6 server is equipped with eight A800 accelerator cards, and the price is 1.59 million yuan/set, which is about 220,000 US dollars/set according to 1:7.23 USD. Based on the server demand of the above different models, we estimate that the server demand of global large model manufacturers is $316.9 billion.

In contrast, the current global AI server market is only $21.1 billion, and there is still much room for growth. According to Gartner, the global AI chip market will reach 53.4 billion US dollars in 2023, and the year-on-year growth rate is expected to reach 25.7% in 2024. According to IDC, the global AI server market will reach $21.1 billion in 2023, and it is estimated that the market will reach $31.8 billion in 2025, and the CAGR will reach 22.7% in 2024-2025. In contrast, the continuous competition and mature operation of global large model manufacturers are expected to bring about a space of 316.9 billion US dollars, while the current market size is only 21.1 billion US dollars, and there is still much room for growth. We believe that with the emergence of global large-scale models and AI applications, the demand for training/reasoning/optimization is expected to drive the rapid growth of computing infrastructure construction.

Under the background of localization, domestic AI GPU is expected to accelerate the catch-up. On October 17th, 2023, the Bureau of Industry and Security (BIS) of the U.S. Department of Commerce issued export restrictions on advanced computing and semiconductor manufacturing items in China, and domestic imports of high-performance AI chips were restricted. On the other hand, we also see that there is still a gap between domestic AI GPU and overseas advanced level. Among domestic AI GPU, Atlas 300T based on Huawei Ascent 910 has strong computing performance, and FP16′ s computing performance is about 90% of NVIDIA A800 SXM without considering sparse technology. However, compared with the most advanced products such as B100 in NVIDIA, there is still a gap of at least two generations. We believe that under the background of limited import of AI chips, the localization of AI GPU is expected to accelerate, and under the technical iteration, the gap between home and abroad is expected to gradually narrow.

To sort out the industrial chain companies, please see.The original research report.

Risk warning

Macroeconomic fluctuation. If the macro-economy fluctuates, the pace of industrial transformation and the landing of new technologies may be affected, and the macro-economic fluctuation may also have a negative impact on IT investment, resulting in the overall industry growth being less than expected.

Downstream demand is less than expected. If the downstream demand for computing power is less than expected, the related computing power input will increase or be slower than expected, resulting in the industry growth being less than expected.

There may be deviations in the calculation results. In this paper, assumptions such as "scaling law" and "Chinchilla scaling law" are used in the calculation process, which is subjective to some extent. If it is inconsistent with the actual model training process, it may lead to deviation in the calculation force demand.

Related research report

Research report: "Global AI computing power demand continues to rise" April 12, 2024

This article comes from: Selected research reports of securities firms.

Reporting/feedback

The second generation of Haval H9 shock hit: Highlander and Prado combination? Price only 199,900!

[ITBEAR] September 26th news, after ten years of expectation, the second generation H9 finally made its debut. This new model officially met the public on September 25th, bringing three different versions of Exploration, Extreme, and Extreme. The price range is set to 199,900 to 229,900 yuan, which is 6,000 yuan lower than the pre-sale price. What is more noteworthy is that compared with the 2022 models that have been discontinued, the entry price of the new car has been reduced by 14,900, and the top version has been greatly reduced by 49,900, which undoubtedly increases its market competitiveness.

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Source: http://www.itbear.com.cn/html/2024-09/519515.html