标签： 2022上海后花园论坛

China Men’s Basketball Team No.30 training, Qiao Shuai hand-picked Lin Wei and other five generals, focusing on rejuvenation and saving the World Cup.

China men’s basketball team will be trained on April 30th, and the training list will be produced from the teams that have missed the playoffs and have been eliminated from the playoffs, focusing on rejuvenation. Coach Jorjevich will personally lead the team to strengthen the World Cup, and this training will also be held with ABL champion Oriental Team for two warm-up matches, which can be regarded as trials for the World Cup and the Asian Games. This time, Qiao Shuaiqin pointed out that five players, including Lin Wei, will enter the training team, so we might as well talk about which players can be selected.

Qiao Shuai has identified five players: Cui Yongxi, Zeng Fanbo, Lin Wei, Liao Sanning and Wang Ruize. Needless to say, Cui Yongxi has been focusing on cultivating him since he took office. He made two first appearances in the preliminaries and returned to the league. His self-confidence has greatly increased. He is 199 cm tall and has a great advantage in the second place. He is expected to become a player like Ding Yanyuhang. Zeng Fan,

Lin Miao is a rising star in Ran Ran. His shooting talent is very high, and he has a big jump shot, which is a bit like Ray Allen. Even the famous Hu Weidong regards him with special respect and is very optimistic about Lin Miao’s future. This season, he opened a little high and went low, and he made a stunning start, and twice staged a lore. However, with the increasing attention of his opponents, his defensive strength was strengthened, which led to Lin Miao’s death. At present, Liao Sanning is in transition to play dual-energy health, but his talent is still relatively high this season. Wang Ruize is the champion of the three-point competition, and Qiao Shuai appreciates him very much, but he is not young and there is not much room for improvement.

Guo Haowen has basically recovered. He was born in 2000 and is still relatively young. Not surprisingly, Guo Haowen will be selected for this training team. As a tall and large defender, it is the type that Qiao Shuai needs most. Guo Haowen can play three positions, and Jiao Boqiao will undoubtedly be selected. In the last window, Jiao Boqiao participated in two preliminaries. Although he didn’t have much playing time, his talent is obvious to all. Cui Xiaolong belongs to a strong defender.

Wiliam has been selected into the national team for many times. During his coaching in Du Feng, he was recruited into the national team and participated in the preliminaries. He is definitely a top 3D player, with outstanding confrontation ability and stable three-pointers. Zhang Ning, as a college classmate of Wiliam, also has strong strength. Although he played badly in the playoffs, Zhang Ning is full of energy, strong in figure, able to play with and without the ball, and spared no effort on the defensive end, and even able to play the whole game physically.

Jilin team’s "Second Ginger" is very powerful. Although Jiang Weize is short in height, he has strong three-point ability and explosive score. He once played a brilliant performance in the Asian Cup. Jiang Yuxing has excellent offensive and defensive ability, but his rebounding ability is very strong, even reaching the fourth position. Zhao Jiayi belongs to a tall and large front line, can play multiple positions and has a certain ability to hold the ball. Since,

In addition to Lin Biao, Wang Lanzhang also has strong strength in Tongxi team. As an older rookie, Wang Lanzhang has strong instant fighting power, outstanding overall situation, dares to make moves on the court, and often sends out wonderful passes and assists in a narrow space. Zhao Baiqing was selected as a three-man men’s basketball team, belonging to the spatial No.4 position. He is very active in grabbing rebounds in the frontcourt, and Li Yiyang passes the ball. However, he is still a young player, one year younger than Wang Ruize. Before, his condition declined due to injuries, and he is recovering well now. Qi Lin’s talent is very high, and even foreign aid Farr is very recognized, but his progress is slow and he needs continuous efforts.

This men’s basketball training is mainly held for young players. Qiao Shuai will focus on young players such as Lin Wei, Zeng Fanbo and Cui Yongxi. Some of them have the opportunity to be selected for the World Cup training list, and they are even expected to stay in the final list. For young players, it is a valuable asset. Being guided by Qiao Shuai is conducive to the development of their careers. I expect them to play well in the training team.

What industries can be changed by establishing the National Data Bureau？

Produced by Tiger Sniffing Technology Group

Author | Qi Jian

Editor | Chen Yifan

Toutu | vision china

Data elements are becoming more and more important.

On March 7, 2023, according to the Xinhua News Agency, the National Data Bureau was established according to the State Council’s proposal to submit the institutional reform plan of the State Council.

The National Bureau of Data will be responsible for coordinating and promoting the construction of basic data systems, coordinating the integration, sharing, development and utilization of data resources, and coordinating the planning and construction of digital China, digital economy and digital society, which will be managed by the National Development and Reform Commission.

The establishment of the National Data Bureau will be more conducive to mobilizing all resources to comprehensively promote the construction of digital China and the development of digital economy.

"The most practical contradiction in front of data circulation is the ownership of data and the security of data. Data ownership and security issues are big issues involving public interests, and no institution or enterprise can solve them. " Guo Zhaohui, chief scientist of Shanghai Youye Information Technology Co., Ltd., told Tiger Sniff.

Therefore, the consensus of many experts and industrial people is that the establishment of a national data bureau can better solve the urgent problems faced by the development and utilization of data elements resources at the national level. For example, at present, the domestic data infrastructure system needs to carry out a series of system construction in terms of data confirmation, circulation, transaction, rights distribution, security and compliance, and provide institutional guarantee for the cultivation of data elements market.

Institutional guarantee of data factor market

On February 26th, Peng Lihui, Secretary-General of china electronic chamber of commerce, introduced that in 2021, China’s data element market will be about 81.5 billion yuan.It is estimated that the compound growth rate of market scale will exceed 25% during the "14th Five-Year Plan" period, and the scale is expected to approach 200 billion yuan by 2025.From the perspective of subdivision, the market scale of storage, analysis and processing of data elements all exceeds 15 billion yuan, laying a solid foundation for the resource utilization of data elements; The industrial scale of data transaction and data service reached 12 billion yuan and 8.5 billion yuan respectively.

However, as an important factor of production, the current market system is not perfect, and the basic systems such as data property rights and transaction circulation need to be formulated and improved urgently.

Guo Zhaohui gave an example to Tiger Sniff. Taking the medical industry as an example, from the aspect of medical treatment, the data in China’s medical field is very huge. China has a large population, and every hospital has a large number of patients and diseases data. However, due to the poor data circulation, each hospital can only fight on its own and cannot establish a unified data system. This not only increases the difficulty for patients to seek medical treatment, but also greatly hinders the development and progress of medical system and medical technology. Even from the perspective of technological development, the research and development of medical AI needs to mobilize data from all parties to "feed" AI, but if the data factor market is not opened, and the data in the medical industry is relatively scattered, it is necessary to consider the protection of patient privacy, which makes it difficult for relevant R&D enterprises to obtain data, thus hindering the research and development of technology.

In many industries, some enterprises and research institutions have thought about data alliance, but in practice, such alliance is extremely difficult to promote.For example, for training large models, a large amount of data is needed.This brings huge workload to data cleaning, screening and standardization.They also hope to cooperate with enterprises with a large amount of data, so that the amount of data is larger and the quality is better, but the reality is that enterprises are often reluctant to share these data. Guo Zhaohui said that because these data alliances have no administrative and law enforcement rights, it is difficult to actually promote data circulation.

Even the big data exchange established in the past few years is facing an embarrassing situation. Previously, a survey conducted by Nandu Big Data Research Institute found that at present, local data exchanges generally require enterprises to provide compliance assessment certificates issued by professional lawyers for each transaction before entering the transaction, that is, the so-called "assessment once entering the market". However, this has greatly increased the cost of enterprises’ entry transactions, and the related supervision mechanism is not perfect, which leads enterprises to "dare not enter the market" and "unwilling to enter the market". This actually prevents data resources from being used to a greater extent.

In the enterprise search, "data transaction" is used as the key word to search the enterprise name, and there are 57 operating companies whose operating status is surviving, in business and established. Many major cities and industrial bases in China have set up their own data exchanges, including Beijing, Shanghai, Shenzhen, Guangzhou, Guiyang, Suzhou and Hangzhou. Provincial data exchanges have also been established in Hunan, Hubei and Fujian.

So what is the actual trading volume of these exchanges? Take Guiyang Big Data Exchange as an example. Guiyang Big Data Exchange was officially put into operation in 2015. It is the earliest batch of data exchanges in China. Up to now, the exchange has accumulated 502 data vendors and 21 data intermediaries, with a total of 800 products and 438 transactions, with a total transaction volume of 734 million yuan.

Fan Yuan, chairman of Hangzhou Anheng Information Technology Co., Ltd., has worked hard in the field of data security for many years. According to Fan Yuan,The establishment of the National Data Bureau can better coordinate and promote the construction of the basic data system, and coordinate the integration, sharing, development and utilization of data resources.In this way, it can provide richer data resources and more efficient data acquisition channels for the big data industry, and provide a broader space for big data applications and data element markets.

Fan Yuan also put forward an important aspect, that is, the establishment of data standards. For a long time, there has not been a practical and effective unified standard for the transaction and circulation of data, which has also brought a lot of trouble to data work. Fan Yuan said that the National Bureau of Data will be responsible for promoting data standardization and standardizing various data formats and data structures, which will help improve the efficiency and accuracy of data exchange, accelerate the establishment of a data classification and classification protection system, and make the big data industry more standardized and standardized.

Tighter supervision

"If you don’t open the interface of data sharing, then such a large data resource in China can’t be played well." Guo Zhaohui believes that the development of intelligence can only be achieved based on data sharing. However, the main reasons for the difficulty in data sharing and slow circulation are not only the failure to clearly confirm the rights and formulate standards, but also the safety and compliance issues.

Fan Yuan said that after the establishment of the National Data Bureau, it will be responsible for the supervision and security management of national data resources, which will mean stricter data security standards and regulatory requirements, and make the risks of data leakage and abuse more effectively controlled.

Or take the data exchange as an example. Ideally, more data should circulate in the exchange. However, due to the lack of supervision, some data flows have gone off-site and even entered the "black market".

According to the "2022 Data Asset Leakage Analysis Report" released by Internet security research institutions threatening hunters on March 3,In 2022, there were more than 3,200 cases of data leakage in China, nearly double the number in 2021.There are a wide range of data leakage channels, with anonymous society software accounting for over 75%. In the distribution of data leakage industries in 2022, finance, logistics and e-commerce industries occupy the top three. Among the main reasons for data leakage in 2022, operator channel leakage accounted for the first place. In the underground black market data transactions, about 71% transactions disclose the amount of data sold, among which "small-scale real-time data" with the transaction data level below 10,000 exceeds 73%, which has become the mainstream of data transactions.

In terms of data security, the GDPR of the European Union is called "the most stringent data protection regulation in history", while the protection of personal information in the United States focuses on industry self-discipline. Tiger Sniff asked a number of professionals and legal professionals, and the consensus was that China would adopt a regulation between the United States and Europe. After all, if it was too strict, it would restrict the development of the industry. Today, in terms of data security protection, China has the Cyber Security Law and the Personal Information Protection Law, which came into effect in November 2021. However, more detailed rules and norms are needed in the landing of specific practical problems.

At present, the national data bureau should focus more on public utilities, government affairs, and areas with large data and great influence on the national economy and people’s livelihood. It may play a relatively small role in promoting those industries with strong personalization or more subdivision standards.

This is also the consensus of the industry. Fan Yuan’s view is that the National Bureau of Data will promote the industry to a more stable development direction, especially for Party B, which provides products and technical services for the government industry. For example, for domestic relational databases and big data storage engines, it will be beneficial to domestic companies such as chips, storage, operating systems and processors at the data level for a long time.

Specifically, how to land in the industry, Cui Xiangyu, assistant vice president of Beijing Haitian Ruisheng Technology Co., Ltd., suggested that scientific research institutions, enterprises and other industrial entities should be specially supported to form innovative consortia, and joint research should be carried out on key technologies and capabilities to enhance the value of data elements, and the transformation and application of results should be accelerated to activate the potential of data elements and release the value of data elements. It is necessary to strengthen the research and construction of the basic data supply capacity of large models, such as building an integrated basic data resource supply service platform, a digital computing integrated service platform, artificial intelligence data sets of key industries, data services based on blockchain and privacy computing, and other new infrastructures to consolidate the data base of the digital economy.

On the other hand, the suggestion is to actively explore and support the establishment of national data factor market cultivation experimental zones in many places, and guide the market-oriented entities such as telecom operators, platform enterprises and industry leaders to actively participate, so as to achieve breakthroughs in data basic systems, data circulation transactions, data resources and data factor industry ecology, and accelerate the process of data factor market cultivation.

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Rachford won the Premier League Player of the Month again, tying the Salah record for three times in a single season!

The Premier League Player of the Year in February was released, and Rachford was re-elected. This is the third time that he won this award this season, tying Salah’s record in 2017/18.

Rachford, who broke out after the World Cup, was named Premier League Player of the Month in September and January this season. He scored five goals in four league games in February, and scored in the first leg of the Europa League play-off against Barcelona and the Carling Cup final.

The England striker has won the Premier League Player of the Month for the third time this season, tying Salah’s record in the 2017/18 season. At that time, the Liverpool winger won awards in November 2017, February and March 2018, and was the first player in the history of the Premier League to win this award for three times, and finally scored 32 goals in the whole season.

In addition, Rachford is also the first Premier League player of the month since Manchester City midfielder Gundogan in January and February 2021.

Rachford’s competitors in February were leicester city striker Kelechi Na Qiao, Fulham goalkeeper Bernd Leno, winger Manor Solomon, Tottenham right-back Emerson Royal and Aston Villa striker Ollie Watkins.

After winning the prize, he wrote an article on Twitter to celebrate: "I am ecstatic to win the player of the month award in Manchester United and the Premier League again. I couldn’t have succeeded without the help of other teammates and staff. Setbacks are inevitable, but as long as we remain focused and United, we will eventually see the dawn at the end of the tunnel! "

Rachford, who also won Manchester United’s player of the month award in February, also modestly thought that this award was the credit of the team as a whole. In December and January, he was elected as the best player in the team: "This player of the month award, I think you can award it to anyone in the team in the last three months. Each of them deserves to win this award, so it really makes me feel honored, and I have done it three times. "

"All the players who aim at this or not, they also deserve this award. This shows that we are making progress as a team, and I hope we can continue like this. "

It is worth mentioning that Erik Tenghag and David de Gea also won this month’s Best Manager and Best Fighting Award respectively.

Previously, Rachford and Eric Tenghah won the Player of the Month and Coach of the Month in September last year. The last time Manchester United achieved this achievement twice in a single season was 15 years ago, when Cristiano Ronaldo and Sir Alex Ferguson won awards in January and March 2008 respectively.

At present, Rachford has won the Premier League Player of the Month four times in his career. Sergio Aguero and Harry Kane won the most awards, and they have won this honor seven times.

Research says that artificial intelligence can help detect breast cancer and reduce the workload of doctors.

[Global Network Reporter Zhang Yang] Artificial intelligence has been increasingly applied to people’s lives. In the medical field, many medical institutions have begun to try to use artificial intelligence technology to assist doctors in diagnosis. Recently, according to foreign media reports, many medical institutions around the world began to experiment with artificial intelligence technology to assist in the diagnosis of breast cancer.

According to the report, Hungary was one of the first countries to adopt relevant technologies. Since 2021, at least five hospitals have used artificial intelligence technology to assist the detection of breast cancer.

In a study published in 2022, the researchers recorded the number of times breast cancer was identified in 250,000 scans using artificial intelligence programs, and found that this was almost consistent with the level of human radiologists, and the scanning results could be read faster. The conclusion of this study is that if this technology is incorporated into doctors’ daily work, it can effectively reduce the workload of radiologists.

According to a doctor who used an artificial intelligence application, he was shocked by the effectiveness of the artificial intelligence program, because he submitted some difficult cases he encountered in his career to artificial intelligence for diagnosis, and the program correctly identified cancer symptoms every time.

With the enhancement of artificial intelligence technology, artificial intelligence can gradually complete more complex tasks, and many companies have been committed to combining artificial intelligence technology with medical care for many years. For example, YiduCore, a medical intelligent brain independently developed by medical science and technology enterprises in China, is the accumulation of core technologies for many years and a highly competitive medical intelligent infrastructure.

By virtue of YiduCore’s powerful data processing and AI algorithm capabilities, as well as its accumulated medical knowledge, insights and disease models, Yidu Technology assists customers such as medical institutions to manage authorized data efficiently and with high quality, making uncountable data computable, and at the same time, through continuous iteration of independent learning, continuously accumulating and strengthening the modeled knowledge map, promoting real breakthroughs in clinical diagnosis and treatment, and further providing value in public health, research, diagnosis and treatment and other scenarios.

Regarding the application of artificial intelligence technology in the diagnosis and treatment of breast cancer, Yidu Technology told reporters that in a phase III study on the treatment of HER2-positive breast cancer patients conducted by its Happy Life Technology (HLT) in cooperation with a well-known domestic pharmaceutical company, Happy Life Technology implemented digital recruitment through artificial intelligence technology, accelerated the positioning of target patients, found HER2-positive breast cancer patients more quickly and accurately, and completed the recruitment of patients with the target number.

Although artificial intelligence technology is rampant, many doctors or experts in artificial intelligence also said that artificial intelligence technology can not replace doctors, but is only used for auxiliary medical care. For example, when a doctor has made an assessment of the condition, he can use artificial intelligence to review it to prevent the occurrence of missed diagnosis.