September 8, 2023 is a traditional solar term-Bailu.

In the Millennium season, the heat of summer has gradually drifted away, and the strong autumn gradually dominated. This special solar term not only marks the alternation of seasons, but also is closely related to human health, five internal organs and five seasons.

The name "White Dew" itself implies that dew begins to show white characteristics, which indicates that the time has come at the turn of summer and autumn. At this time, nature began to turn from hot summer to crisp autumn, and all living things began to prepare for the coming winter. For us, the Millennium is a key opportunity to recuperate. Ding Xiaoqing, chief physician of the Department of Hematology, Oriental Hospital, Beijing University of Chinese Medicine, and Zhu Jiaqing, a graduate student, suggested that the health care of the Millennium should start from the following aspects:

Clearing and moistening lung dryness

With the advent of the Millennium, the climate began to turn cold gradually. The dry autumn wind sometimes makes people feel a little uncomfortable in their lungs. The theory of five zang-organs is the core of TCM theory. The five internal organs, namely heart, liver, spleen, lung and kidney, each of which corresponds to a specific season, emotion, color and taste. Therefore, at this time, we need to pay special attention to the maintenance of the lungs.

The Millennium, as the beginning of autumn, is directly related to the lung and gold. In addition, due to the principle of golden water, we also need to take special care of the kidneys during the Millennium period. This deep connection with five zang-organs and five seasons reveals the subtle relationship between nature and human health.

In diet, we can choose to eat some foods that help moisten the lungs, such as pears and honey. In addition, in order to cope with the dryness in autumn, it is also a good choice to taste a cup of chrysanthemum tea or longan jujube tea, which can not only help us to harmonize our bodies, but also bring us a little warmth in autumn.

Regulating qi and blood

In the Millennium season, the maintenance of qi and blood is particularly important. Qi and blood, as the core concept in TCM theory, is the cornerstone of human health. It involves all aspects of the body, from the moisturizing of skin to the function of internal organs, which is closely related to the profit and loss of qi and blood.

In autumn, especially in the Millennium season, due to the cool and dry climate, the human body is prone to symptoms of insufficient blood, such as pale face, pale lips and cold hands and feet. To preserve qi and blood, we can start with diet first. Eating red dates, longan, medlar, angelica and other ingredients can help us replenish qi and nourish blood and enhance the body’s resistance; Glutinous rice, yam and peanuts help to strengthen the spleen and stomach and enhance digestive function. These ingredients are not only nutritious, but also help us cope with the dryness and cold in autumn.

Comfortable mood

In addition to diet recuperation, the health care in the Millennium season also involves the adjustment of mentality. People may feel a little melancholy because of the arrival of autumn. At this time, appreciating the golden autumn leaves and doing spiritual exercises such as meditation or yoga can help us maintain inner peace.

With the sudden drop of temperature, the symptoms of varicose veins may be aggravated. Therefore, it is very necessary to choose appropriate clothes, avoid standing or sitting for a long time, and exercise properly. Drinking more water, keeping indoor humidity and paying attention to the nutritional balance of diet can effectively prevent the occurrence of cardiovascular and cerebrovascular diseases.

Regular schedule

In the Millennium season, it is very important to go to bed early, get up early and get enough sleep. It is related to our energy and state all day. It is a beautiful way of life to conform to nature, synchronize with nature and feel the most natural health.

In addition, outdoor activities, such as outing and hiking, are good choices, which can not only exercise, but also enjoy the beautiful scenery in autumn.

The white dew qi starts to be cold, and people with hypertension are suitable for flat supplement.

In the Millennium season, the external heat gradually recedes, while the coolness gradually rises, so it is best to make up for it to avoid bias. At the same time, when the seasons alternate and the temperature changes, the blood pressure of the human body is also prone to fluctuations. At this time, adjusting the diet can play a role in food support.

This year, the Health and Health Commission issued the "Adult Hypertension Diet and Nutrition Guide (2023 Edition)", which contains two simple and easy-to-operate diets suitable for eating at the turn of summer and autumn. Wei Dong, the attending physician of Nutrition Department of Oriental Hospital of Beijing University of Chinese Medicine, combined with common clinical problems and based on personal experience, gave you some suggestions on eating.

Lily, Tremella and Sydney Soup

Raw materials: Lily, Tremella, Sydney and Lycium barbarum.

Production method: Lily, Tremella, Sydney and Lycium barbarum are put into the pot together, and appropriate amount of rock sugar is added, and the soup is made by low fire and eaten with meals.

Fang Jie: Lily enters the heart and lung meridian, which has the functions of moistening lung, relieving cough, clearing heart and calming nerves; Tremella enters the lung, stomach and kidney meridians, and has the function of nourishing yin and moistening lung; Sydney enters the lung and stomach meridian, which has the functions of promoting fluid production, moistening dryness, clearing away heat and resolving phlegm; Lycium barbarum enters the liver and kidney meridian, which has the functions of nourishing the liver and kidney and benefiting the mind. These four kinds of food materials with the same origin of medicine and food, together with rock sugar, can not only adjust the taste, but also tonify the middle energizer, invigorate the stomach and moisten the lung. Although it is a nourishing recipe for people with hypertension, its overall collocation is moist but not dry, and it is also suitable for most people to eat in the Millennium season.

Note: Lily, Sydney, etc. contain starch and fructose, plus crystal sugar, which belongs to refined sugar. It is not recommended for diabetics to eat this food directly. At the same time, people with high triglycerides and obesity need to adjust the proportion and dosage appropriately. Please use them under the guidance of nutritionists.

Lotus seed, lily and jujube soup

Raw materials: lotus seed, lily, jujube and glutinous rice.

Production method: Lotus seeds, lilies, jujubes and glutinous rice are boiled with water and appropriate amount of rock sugar, and can be eaten after porridge.

Solution: Although there are also lilies and rock candy, the lotus seeds that nourish the heart, kidney and spleen are used in this food-nourishing recipe with lilies, plus jujube that tonifies the spleen and stomach, and glutinous rice that tonifies the middle and spleen, which makes this food-nourishing recipe more inclined to nourish the spleen and stomach. Compared with the above recipe, this recipe is more suitable for people who have experienced bitter summer to recuperate their spleen and stomach.

If you suffer from spleen and stomach discomfort after overeating or eating cold drinks in summer, loss of appetite in autumn, fatigue, lack of diet, etc., you should pay attention to the maintenance of spleen and stomach while replenishing lung qi, so as to lay a good foundation for winter tonic.

Note: Lotus seeds, lilies, glutinous rice, jujube, etc. contain starch and fructose, plus crystal sugar, which belongs to refined sugar. This medicated diet is not suitable for diabetics to eat with meals and can replace some staple foods, but it is best to consult a nutritionist before eating.

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The new version of technical guidelines for influenza vaccination was released.

On September 5th, the Technical Guide for Influenza Vaccination in China (2023-2024) issued by China Center for Disease Control and Prevention pointed out that combined with the recommendation of the World Health Organization on simultaneous vaccination of influenza vaccine and COVID-19 vaccine, and combined with the research progress at home and abroad, it is suggested that people aged 18 and above should be vaccinated with inactivated influenza vaccine and COVID-19 vaccine on both limbs when receiving immunization services at one time; For people under the age of 18, it is suggested that the interval between influenza vaccination and COVID-19 vaccination is still more than 14 days.

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People tend to choose people who are similar to themselves when choosing a spouse.

Xinhua News Agency reported that a new study in the United States recently analyzed the data of millions of couples or heterosexual couples and found that people prefer to choose people who are similar to themselves rather than different. The research results reveal the intangible forces that may shape human relations, which is of enlightenment significance to the research in the field of genetics.

It is found that couples or partners show a particularly high correlation in political, religious attitudes, education level and some IQ indicators. The characteristics related to drug use also show a high correlation. Although the correlation between height and weight, medical condition and personality characteristics is obviously lower, it still maintains a positive correlation.

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The number of patients with "thunderstorm asthma" has increased sharply, and the source has been found.

Recently, there were sudden thunderstorms in Inner Mongolia Autonomous Region and other places, and the number of allergic asthma patients in many local hospitals increased sharply, mainly manifested as cough, wheezing and shortness of breath, and they were diagnosed as "thunderstorm asthma".

Not only Hohhot, but also some hospitals in Beijing have recently received many patients with "thunderstorm asthma".

The dramatic changes in the weather environment in a short period of time have led to the high concentration of grass pollen, which is considered to be the source of the sudden increase in asthma patients.

Wang Jichun, deputy director of the Pediatrics Department of the Affiliated Hospital of Inner Mongolia Medical University, said that the main allergen in autumn in northern China is grass pollen. Every year from mid-July to the end of September, it is the season with the highest concentration of grass pollen in Hohhot, and it is also the season with high incidence of allergic diseases such as allergic asthma.

"Thunderstorms occur in the case of high pollen concentration. Thunderstorms will turn pollen into smaller particles, which will easily enter people’s respiratory tract and cause allergic asthma." Wang Jichun said.

Many doctors suggest that when the pollen concentration is high, especially when thunderstorms occur, you can wash your nose and face with salt water or clear water if you come back from outside. If allergic rhinitis or asthma has been diagnosed, it is necessary to standardize medication and make regular follow-up visits.

Workers’ Daily Client Le Health No.384

Original title: "Le Health | What should you pay attention to in Bailu Health? Synchronizing with nature is a beautiful way of life.

Read the original text

Analysis, as the name implies, first classifies, then analyzes. First of all, let’s learn the basic information of My Shampoo and classify it.

1. What does Duang mean?

Duang is the pronunciation of Jackie Chan, which means to add special effects, implying deliberate exaggeration and exaggeration!

In addition, Duang is a lyric from My Shampoo. It can be seen from the Internet that people use Duang instead of My Shampoo.

2. Who is the creator of Duang?

3. Under what circumstances did the author create it?

On February 14th, 2015, roommates all went to Valentine’s Day. Being single, he blocked the world of mortals and HOLD his loneliness. At the same time, this buddy also compiled a program and made an animation, so he decided to start creating something on this day. Later, there was a spoof MV "My Shampoo". Later, duang in the lyrics spread all over the Internet in lightning speed!

Next, let’s see how it spreads.

4. Why is duang so hot, and the "fire" continues to spread?

Analyze the communication track from several mainstream channels.

Let’s interpret the spread track of My Shampoo from bilibili, Sina Weibo, WeChat, mainstream video websites and Baidu Index to answer why it is so hot:

The first communication camp: bilibili and Sina Weibo (opinion leaders and grassroots reds)

2015-02-20 At 16: 31, Crimson TOY uploaded the video in bilibili, and at the same time opened it to Baidu’s network disk (open posture).

Analysis of Wang Nima Forwarding My Shampoo and Weibo in Zhiwei

Forward time trend chart

It can be seen that KOL Weibo, who forwarded to Weibo, Wang Nima, is almost a grassroots blog.

The second communication camp: Youku and major video websites.

……………………………………………………………………………………………………………………………………………………….

Features: Multi-platform (multiple video platforms, multiple users continue to spread)

Youku playback index

Youku, this video reached its peak on February 27, 2015.

The third communication camp: WeChat

Sogou WeChat search data deadline: March 22, 2015

Starting from February 24,
WeChat official account began to spread "My Shampoo". In the next few days, the video was created and forwarded by more than N WeChat official account like mushrooms after rain. At the same time, netizens were influenced by various media. In the micro-era when everyone was from the media, according to the average opening rate of WeChat public information of 20%, it was roughly estimated that 650 million users of WeChat meant covering about 130 million netizens, and then "My Shampoo" spread like wildfire in the circle of WeChat friends!

Interpretation of WeChat communication:

All WeChat official account in WeChat is KOL, especially WeChat official account with 100,000+fans. The difference is that there are more fans than there are. The follow-up of self-media, celebrities and traditional media in WeChat, if its emerging and creative types are recognized and spread by major mainstream media from the news point of view, with a little ridicule and some humor, media editors are willing to further spread this "revealing" positive energy!

The fourth communication camp: traditional news media websites and paper media

Starting from February 26th, major mainstream news media, local media and paper media began to report this "My Shampoo" synchronized with "My Skateboarding Shoes", and many media took it as the front page headline.(news websites, video websites, mainstream music apps and video apps).

Baidu index analysis (intuitive horizontal propagation curve)

Baidu Index of My Shampoo: 7688 (2015.3.11-2015.3.21)

Baidu Index of "Duang": 77649 (March 11, 2015-March 17, 2015)

From the Baidu index curve, we can see from the above figure that the date and the corresponding search index are:

….
3.17——49258
….

Overall interpretation

From the above figure, we can see the laws of two Baidu indexes:

1) When the sound volume (propagation volume) of this suddenly popular search word is not detonated to a critical point, it will not enter the Baidu Index. If you ask how many indexes can enter the Baidu Index, I have no answer. This question should be answered by the official Baidu Index!(Interested friends can search for "Ordinary Road" and "Don’t give me a hundred dollars" that suddenly became popular last year)

2) The search peaks of duang and My Shampoo are on the same day on February 28th, which shows that the video has the same effect when it is spread by key media (online celebrities and online media platforms). Although the search indexes of the two are quite different, the author personally thinks that the only reason that can explain the difference is that netizens are more likely and like to quote Duang in the lyrics, for the following reasons:

"My Shampoo" was released first, and it was fired first. duang came from "My Shampoo". Because of its simplicity, novelty and fun, the search index exploded "My Shampoo". Why do netizens use this duang?
Perhaps it is because Jackie Chan said this word very much, and it has the meaning of mocking and teasing bad businesses behind it. Out of dark psychology, netizens tacitly use it and brush it, during which the whole Internet (desktop and mobile)
) is everywhere. And this duang is cool, trendy and avant-garde, and it can be a fucking B.(You send a duang in a circle of friends, and friends who may not know it will be curious to ask: Friend, what the hell did you send? See if you have achieved the purpose of pretending to be B.

Through the above analysis, it can be concluded that there are four communication factors:

Scary toy’s brain is wide open because of thick accumulation and thin hair. This is a cliche. Accumulation, quantitative change leads to qualitative change. This buddy understands the user’s embrace of video and grasps the psychology of revealing fake play and booing in human nature. The recommendation of Youku’s "Original Selection" on March 1 once again made the video volume spread further. The key to Youku’s official recommendation is that it is humorous and interesting. As the saying goes: no one spreads good news, and bad news travels thousands of miles. At the same time, because it is original, it is also a boutique, so if you want to make the video fire, you have to be practical and original, stir up creativity, and it will be refreshing when you take a shot.

Dear readers, the analysis ends here. As long as netizens are here, duang is full of love ~ ~

Finally, I attach my shampoo-car maintenance edition created by an author.

When I first entered an S store for maintenance, I actually refused. I told the sales staff: I refused, because I found that Baidu and 315 exposed too many hidden rules of an S store. I didn’t want you to add a lot of stunts when doing maintenance. After maintenance, duang said that it was very stable and the sedan chair could rush up the hill.

duang..duang.duang

After that, my friends must scold me, and there is no such effect at all. They are just talking nonsense … A group of teasing, a group of teasing … Later, I learned that an S shop, in fact, is very deep, and ordinary car owners generally can’t understand it. Of course, I am often submerged. Later, I learned from my mistakes and decided to change a maintenance method. Baidu found that there are many maintenance methods that place orders through the Internet.
What on-site maintenance, O2O maintenance … without any special effects, I enjoyed it very much, and I also introduced my friends to do this kind of internet car maintenance. I want to let car owners know that I do maintenance in an S shop like that, and we do maintenance through the Internet like this ~

Thanks to the VIP communication analysis sponsored by Zhiwei (www.weiboreach.com)

Royal Guards, the first secret service agency in Ming Dynasty, directly obeyed the emperor, and could arrest anyone, including royalty and relatives of the country, and take charge of the prison, and conduct trials in camera. At the same time, he also participated in the work of collecting military information and turning against enemy generals.

With such great power, the ruthless and unscrupulous behavior of the Royal Guards made both inside and outside the imperial court fearful. The movie Embroidered Spring Knife and the TV series Under the Jinyi can give the audience a glimpse of this mysterious institution. This year’s hit Dream of China Record, in which Gu Qian Fan’s Imperial City Division was once compared with the Royal Guards, shows people’s curiosity and imagination about the Royal Guards.

The Royal Guards are skilled in martial arts, brave and good at fighting. At the same time, they also have the strategy and wisdom of investigating and interrogating cases, so they can be said to be special forces in the police. They will experience all kinds of political struggles and bizarre cases throughout their lives. While accompanying the monarch like a tiger, they must also guard against the stab in the back of the major parties, which is very legendary.

Among the Royal Guards, the most legendary one is Lu Bing, who is known as the best Royal Guards in 300 years. He not only plays politics and meets all our imaginations of Royal Guards, but also is the only powerful minister in the Ming Dynasty who is also a three-orphan. His life is extremely dramatic, ups and downs, but he is unbeaten all his life, and he is a proper scholar.

The explosive IP "Jinyi Killing" takes Lu Bing as the prototype, which is a brand-new masterpiece of the super-popular writer in Jinjiang Literature City with a personal score of over 20 billion in September. During the serialization period, it occupied several VIP gold lists in Jinjiang Monthly List and Quarterly List, with a score of over 2.3 billion, with an average click of 200,000 chapters, a collection of over 160,000 and a final score of 9.5 points. Other explosive works of September’s filariasis, fallen immortals, are being developed by Huanrui Century.

　01　

Character setting with scarce market and high-frequency drama energy

"Jinyi Kill" tells the story of Wang Yanqing, the heroine whose family is full of loyalty, who was adopted by Zhenyuan Houfu since childhood. When she was growing up, she liked the prince of Zhenyuan Houfu and her adopted brother Fu Tingzhou, but Fu Tingzhou married the third daughter of Yongping Houfu for power. Wang Yanqing recognized the differences between her and Fu Tingzhou and decided to leave. However, before leaving, she accidentally lost her memory in order to save Fu Tingzhou from falling off a cliff.

The command of the Royal Guards led Lu Heng to ambush the house in Yuanhou Town, but he didn’t intend to catch Wang Yanqing. When Lu Heng saw that Wang Yanqing had lost her memory, he played along as her second brother and discovered her unique micro-expression recognition ability. Lu Heng led Wang Yanqing to solve several difficult cases inside and outside the capital, punish corrupt officials, extend unjust cases, pacify the chaos of the Japanese pirates, walk in the shadow of prosperous times, and maintain the strong and bloody but riddled Ming Dynasty in the dark.

With getting along, Lu Heng gradually fell in love with Wang Yanqing, and Wang Yanqing also constantly ran into old friends and recovered his memory. Wang Yanqing wanted to make a clean break with Lu Heng, but Lu Heng exchanged his sincerity for Wang Yanqing’s forgiveness. In the end, they reconciled and worked together to solve the case and defend the country.

Among them, the figure based on Lu Bing is called Lu Heng, and the overall image is basically consistent with the historical prototype. Lu Heng is the commander of the Royal Guards and ranks second in the family. Lu Jia VI is a Royal Guards. His father Lu Song is the bodyguard of Xing Wangfu, and his mother Fan is the wet nurse of Xing Wangsi Zhu Houzong. Lu Heng went to the Wangfu since childhood and grew up with Zhu Houzong. He is smart and calm, both good and evil. He has peach eyes with a natural smile, but his heart is cold and heartless. His IQ and EQ are extremely high. He is good at observing and reasoning. He always smiles at people, but when he starts, he is thunderstruck and ruthless.

Such a tough character, who is difficult to see through at a glance and is adept in the struggle for power, is scarce in the film and television market at present. At the same time, relying on the prototype, the characters have more space for creation and discussion in historical depth, which makes the aerial story have a solid foundation, and at the same time, with people and face, it brings out a broader and thicker image of the Royal Guards and the historical scene during Jiajing period.

The heroine Wang Yanqing, instead of being the CP tool behind the powerful male master, became the key to the steady rise of the male master’s career and even the stability of the Ming Dynasty. Wang Yanqing, a stunning orphan girl, not only has the temperament of a classical woman, but also has the professional demeanor of a modern woman. She not only studied martial arts hard since childhood, but also developed a skill. More importantly, she also brought her own super buff of "micro-expression investigation". It is this modern skill that is familiar with micro-expression psychology that makes Wang Yanqing stand out among the heroines in costume.

From the orphan girl who is dependent on others to the brilliant talent, Wang Yanqing also started her own road of inspiring and refreshing life.

The male host is not "magnificent", "beautiful and miserable", and the female host is not "stupid and sweet" and "in love with the brain". The husband and wife files are well matched and evenly matched, and then a little sugar is sprinkled at will. This kind of CP and story is what the audience really wants to see.

The film "Jinyi Killing" is so popular that readers have even outlined the image of the male and female host and recommended their favorite actors, which shows that the image portrayal of Lu Heng and Wang Yanqing is deeply rooted in the hearts of the people.

Weibo netizen comments

　02　

A highly recognizable story, a highly typed break

"Jinyi Killing" is set in the period of Zhu Houzong, Emperor Jiajing of the Ming Dynasty, and the main line is that the hero and heroine jointly cracked many cases, such as corruption, haunted East Palace, gold placer, banned books, Renyin Palace rebellion, enemy and collaboration with the enemy. It is a very solid mystery novel.

The endless stream of cases has filled the suspense atmosphere of the story, including some confusing "ghosts and gods" illusions, which have great room for film and television imagination. At the same time, there are almost no timid small cases, all of which are major and serious cases directed at the important officials of the court. Their realistic criticism will definitely make the audience feel the grand structure and historical massiness of the story.

The theme of suspense reasoning has always been a type that is deeply loved by the audience and has a stable market share. The super-high reputation of Detective Di Renjie and Young Bao Qingtian, with 9 points and 8.5 points respectively, speaks for itself. At present, due to various factors, this genre has been continuously improved in the technical level in modern drama, while the creative level is often tied behind one’s back. However, in costume drama, not only the characters can be more elegant and free, but the theme and depth of the story are the breakthrough core.

Under this high type, there is not much love in Jinyi Kill, but it is essential. Emotion is the core magic weapon to impress the audience. Through the daily coexistence and tempering of the hero and heroine, "Jinyi Kill" naturally produces love, puts emotion above the growth of the characters, and the little wife who is proficient in tactics and mind-reading constantly collides with emotional sparks in personality differences, which is reasonable and sweet. The love based on this is affectionate, solid and firm, and will never fall into the suspended dog blood.

This advanced treatment just avoids the story taboo of "not concentrating on career, only knowing to fall in love", which is the most criticized by the audience at present.

The superposition of types makes Jinyi Kill have a wider audience, and whether it is hard-core investigation or high-sweet love, it will become a circle-breaking work.

The overall structure of "Jinyi Killing" is grand. Through the detective stories of men and women, it outlines the historical picture and folk customs during Jiajing period. The story is fascinating, the theme is profound and moving, and the details such as the official environment, costumes and living habits are well controlled. It has great imagination and adaptation potential. It is a rare IP masterpiece.

1905 movie network news Behind the big case, there is life. The film was released with the theme song "Infernal Affairs" MV composed by Tang Tian and Peng Fei, and Liu Huan’s deep singing voice told the heartfelt feelings and obsession behind the 12-year pursuit of the three brigades. After listening to it, many viewers shouted "The theme song has too much stamina, so you must listen to it before leaving". Liu Huan’s singing power penetrated the screen, endowing the theme song and the film with endless sense of power. At the end of the song, the audience left, and their persistence in light and justice remained in their hearts.

Yesterday, the film held the premiere of "Three Battalions" and "Special Action" in Beijing, and the director joined hands with the screenwriter to lead the starring role, starring,, and friendship appeared in china national film museum. With the screening, the true feelings of every frame and scene of the Three Battalions really conquered the audience. Many viewers who have seen the Three Battalions said that they were moved for the last time at the end of 2023 in the cinema. Sincerity has its own strength, and the power of reality touches people’s hearts. The total box office of the screening and pre-sale of "Three Battalions" has exceeded 70 million, with 9.7 and 9.5 points for dual ticketing platforms and 98% for big V. The film is produced by producer, directed by Dai Mo, written by Zhang Ji, starring Zhang Yi, starring Cao Bingkun, Lawrence Wang and Zhang Zixian, and starring Yang Xinming. The film "Three Battalions" will be officially released on December 15th, and the screening is in full swing!

A departure song tells of the difficulty of keeping the "Tao". Liu Huan sings the feelings of blood police again

How many family tragedies and sour lives are hidden behind the big case? The film "Three Battalions" recently released the ending theme song "Infernal Affairs" MV, which was sung by Liu Huan, written by Tang Tian and composed by Peng Fei. The song "Young Men’s Ambition Don’t Say Worry" mentioned in the film clip released at the beginning of the MV is also sung by Liu Huan, and it is the same as "Infernal Affairs". The former is a bloody portrayal of the three brigades’ passionate investigation, while the latter sings the persistence and hardships of the three brigades after 12 years of bumpy pursuit. "For a sigh of relief, for a reason, for a sacrifice, I will go to the end." Although there are no difficult words in the lyrics of infernal affairs, every word tells all the difficulties in life. At the end, the phrase "Three Brigade Tasks Completed" convinced the audience that there will always be someone who will illuminate the darkness in the sun and someone who will defend the right path in the world.

Liu Huan, the singer and Tang Tian, the lyricist of Infernal Affairs, both said that they had been deeply moved by the story before they wrote and sang. Liu Huan expressed his pride in participating in the film at the film premiere, and said: "This song is written to the point and comfortable to sing. I hope everyone likes" Three Battalions "and this song." Peng Fei, the composer, shed tears twice when watching the rough cut, saying that he had not been moved by such a real movie for a long time. As a result, the songwriters poured the heavy feelings of the three groups into their songs, and the two complement each other. It is precisely because of the real and moving story of the three groups that the theme song "Infernal Affairs" will be illuminated. Since the screening, many viewers have been moved by the theme song at the end of the film and spontaneously called for "listening to the song at the end of the film before leaving" and "suggesting that the cinema should not turn on the lights in advance". Liu Huan’s emotional singing gives the song a strong sense of fatalism. "The theme song at the end of the film penetrates the paper, and the lyrics match the movie perfectly. Only those who want to go out can go home no matter how late." Some viewers were also hit by the sense of power in the song. "Liu Huan’s song is full of a sense of justice and reminds himself to stick to his beliefs at all times." A profound song "Infernal Affairs" not only adds more profound feelings and significance to the "Three Battalions", but also deeply touches every audience.

Three teams appeared in the "Special Action" and immersed in the premiere. Chen Sicheng was surprised and even Mai talked about old places and old friendships.

The film "Three Battalions" held the premiere of "Special Action" in Beijing yesterday. Director Dai Mo and screenwriter Zhang Ji, starring Zhang Yi, starring Cao Bingkun, Lawrence Wang and Zhang Zixian parachuted into china national film museum. The event was full of immersion and led the audience into the real story of the three battalions. At the scene, Zhang Yi, Cao Bingkun, Lawrence Wang and Zhang Zixian showed their work badges and introduced their identities. Interesting descriptions such as "pillar", "second in charge", "big boss" and "wife’s help" show the influence of the four players in the team. The main creative comment responded to the netizens who had seen the screening. "I can’t be a Cheng Bing, but I know that the world needs Cheng Bing." A netizen’s film review spoke out Zhang Yi’s voice, and Zhang Yi also said emotionally: "It is my greatest honor to be Cheng Bing in a two-hour movie." When faced with netizens’ appreciation of his face value, Cao Bingkun modestly thinks that Cai Bin’s charm is greater than his personal charm, and the film gives him a "good look". When the netizen commented that "I just want to visit the barbecue stall in Ma Zhenkun after watching the movie", Lawrence Wang responded on the spot "Come quickly, you must be warmly entertained." When talking about the charm of the role, Zhang Zixian ridiculed that "it makes no sense to like yourself."

The "Special Action" activity site also specially restored the old place nightingale stalls frequented by the three battalions, reappearing the brotherhood and fireworks in the lives of the three battalions. Producer Chen Sicheng made a surprise appearance and sincerely thanked each warm-hearted evaluation. On-the-spot "Three Battalions" crew reviewed the shooting log, and Chen Sicheng recalled the interesting things of old friends’ interaction on the set, which made the audience feel the good intentions and sincere feelings of the creative team for film creation. "Three Battalions" not only tells the story of chasing the murderer, but also is a warm gift to convey the truth to the public and protect justice. This time, the director, together with all the masters, presented copies of the film and signed posters to china national film museum, hoping to freeze the warm-blooded friendship of the three brigades in time, so that the belief in justice will be treasured by time for ever.

"Best at the end of the year" is everywhere the true audience gains "the last touch of the 2023 cinema"

The film "Three Battalions" will be released soon, and the third round of national screening and roadshow activities are in full swing. At present, the total box office of movie screening and pre-sale has exceeded 70 million. The popularity of the film has been rising all the way, which has triggered a hot discussion and rave reviews on the whole network. "full! Stereo! Fresh! A solid group of people is the best movie I have ever seen! " The Three Battalions is full of true feelings and feelings, and it is also praised by the audience as "a warm masterpiece at the end of the year". Frankly speaking, "Because the Three Battalions won the last touch in the cinema in 2023."

The interactive communication of the audience’s true feelings also stimulated the strong desire of the founders to express themselves. Zhang Ji sincerely replied that the 12-year pursuit process of the three brigades was "an ordinary heroic journey and an elegy of idealism". The film was told in a revisiting way, in order to let the audience feel that they are the heroes today who are so lonely and incomprehensible. The real little people with a strong sense of life in the film are frequently praised, which is also inseparable from the meticulous polishing of the role by the main creator. Zhang Ji shared his experience of the life of the criminal police at the grassroots level, and accidentally found the phrase "no one can live in a vacuum" in the local real file, which added a sense of strength and vitality to the film lines. Many viewers are very sorry about Cheng Bing’s ending in the film, while Zhang Yi has his own different interpretation. The film and the audience are mirror images of each other. Cheng Bing’s ending is a special blank design created by the master, which not only contains the good wishes and blessings of each master, but also leaves the audience with the right to continue dreaming. The film "Three Battalions" shapes the true feelings of the characters in the restrained and plain details, and expresses the unrepentant faith and spirit of every ordinary hero.

The film "Three Battalions" was produced by Chen Sicheng, directed by Dai Mo, written by Zhang Ji, starring Zhang Yi, starring Jerry Lee in particular, starring Vision Wei, Cao Bingkun, Lawrence Wang and Zhang Zixian, and starring Yang Xinming. The film will be released nationwide on December 15th, and the pre-sale is in full swing!

China Net/China Development Portal Network News After the information society enters the era of big data, people’s daily work and behavior, the working status of various online systems (such as information systems and industrial production lines), the signals of various sensors, and the records generated by navigation and positioning systems (global positioning system (GPS) and Beidou satellite navigation system, etc.) are routinely recorded into large-scale data as "experiences". Different from the scientific big data recorded and collected in the past to verify scientific theories and conjectures, recording these large-scale data did not have a clear scientific goal at first. However, they create other opportunities. People can find and summarize the laws through these data, and improve the efficiency of the system according to these laws, and can also predict and judge the future trend, and even help make more scientific and rational decisions. This process relies on big data analysis and processing technology. Therefore, big data analysis and processing technology aims to realize the value conversion from data to information, information to knowledge and knowledge to decision-making by using data science methods and widely recorded data.

At present, digital economy has become an important connotation of social economy, data has become a key factor of production, and big data processing technology has more and more profound influence on the running state of the world. With more and more data being recorded, collected and stored, how to deeply understand the distribution law of data and efficiently mine the value of data has become a key problem to be solved in the intelligent era. According to the report of International Data Corporation (IDC), the global data volume will be about 44 ZB in 2020 and 175 ZB in 2025. Only 2% of these data have been retained, and only 50% of them have been used. It can be seen that the linearly improved data processing ability cannot match the exponential growth of data scale, which makes the "scissors difference" between them bigger and bigger. At the same time, in the huge data space, the core data that is really valuable for a specific task is often extremely sparse or incomplete. The above phenomenon is the coexistence of data flooding and high-value data loss.

Intelligent applications represented by enterprise services on the Internet platform mostly adopt the big data analysis and processing technology supported by "big data+big model+big computing power", which mainly increases the data processing scale and improves the computing performance through system optimization, thus effectively solving some relatively low-order complexity prediction and judgment problems, such as image classification, voice recognition, structure prediction, and well-defined man-machine game. However, in an open and complex system environment, the data is dynamically generated and evolved, and there are huge uncertainties and variables that affect the running state of the system, which makes it difficult to directly model some high-order complex problems, or the approximate solution results are not credible, such as financial risk prediction, personalized intelligent diagnosis and treatment, and automatic driving in an open environment. In these high-order complex real systems, the data collection and distribution are often unstable and incomplete, which poses a new challenge to the big data analysis and processing mode that requires accurate discrimination.

At the same time, it is urgent to solve the problem of data and algorithm security. In the process of data circulation and sharing, data abuse and privacy leakage are faced. The data itself may also introduce the deviation existing in the real world, or the data is polluted under the counter attack, which makes the big data analysis model make biased and wrong decisions. At the moment when big data analysis and processing technology is gradually applied to key fields, how to make big data technology serve all fields in a safe and credible way is another difficult problem that big data development must face in the future.

This paper first reviews the development status of big data technology in recent 10 years, and in view of the challenges such as the coexistence of data flooding and data loss, the complex uncertainty of big data analysis and judgment, and the lack of data security, this paper puts forward a new paradigm of big data analysis and a new framework of safe and credible big data processing, and explores a new model of big data supporting intelligent applications. On this basis, a new generation of big data analysis and processing software stack is proposed, and the traction demand and major applications under the new technology system are prospected.　

Current situation of big data analysis and processing

In the past 10 years, with the strong promotion of all walks of life and the government in Industry-University-Research, the big data technology architecture, ecological environment and big data applications in all walks of life have developed rapidly.

Big data technology architecture

Massive data promotes the development of big data technology architecture. Big data management technology. Traditional relational database (SQL) mainly deals with less data and smaller scale of concurrent access, and there are a lot of operations to read and write hard disks and log records, so it is difficult to expand horizontally and cannot meet the data management requirements of Internet applications. In order to realize more data management, larger-scale concurrent access and more diverse data patterns, various non-relational databases (NoSQL) and distributed relational databases (NewSQL) which are reconstructed from the bottom are developing rapidly. Among them, NewSQL maintains the characteristics of traditional database supporting transaction processing, correctly executing four elements (ACID) and SQL standard query, and has the same excellent scalability as NoSQL. Big data processing technology. According to the different processing requirements, there are many different parallel computing models, including batch processing represented by Hadoop and Spark, high real-time stream processing represented by Spark Streaming, Flink and STORM, mixed stream and batch processing represented by Apache Beam and Lambda, and graph processing represented by GraphX and Apache Giraph. At the same time, the explosive demand of graph data and real-time data processing also promotes the integration of graph stream processing modes. In addition, computing hardware has gradually developed into a variety of computing units (such as CPU, GPU, NPU, etc.).The heterogeneous computing system and the multi-level integration of new hardware and software further improve the efficiency of big data processing. Big data analysis technology. The demand for analysis has gradually changed from small-scale, single-source and single-modal data statistical mining analysis to complex heterogeneous correlation of massive, multi-source and multi-modal data. The rapid development of deep learning technology has promoted the ability of big data analysis model. Neural network model returned to people’s field of vision after winning the first prize in the computer vision target recognition project ImageNet competition in 2012, and then a series of breakthrough works were born, including knowledge map providing knowledge service, generating real data against network synthesis, AlphaGo defeating human beings, GPT-3 pre-training language model and so on. In addition, the increasingly mature deep learning frameworks (such as TensorFlow, PyTorch, Flying Paddle, etc.) have also lowered the threshold for using deep learning to analyze big data.

Big data application

In recent years, the rapid development of big data analysis and processing technology has spawned many big data applications and empowered the intelligent development of a large number of industries. Some iconic applications have subverted traditional information technology capabilities in terms of modes and capabilities. Scientific discovery. Alpha-fold of DeepMind Company can predict the three-dimensional structure of protein based on protein’s gene sequence data, and then analyze the properties of protein, which helps biology to make great progress. Digital economy. The rise of e-commerce platform connects consumers and suppliers all over the world. Through the accurate analysis of transaction big data, it improves transaction efficiency, promotes the use of online payment and digital currency, and subverts the mode of social credit reporting; Financial risk judgment based on big data, microfinance and inclusive finance have also promoted the prosperity of the digital economy. Social security. China uses big data methods to assist social governance and decision-making in the fields of public health and finance; The United States tries to study the role of big data technology in solving social inequality and making urban policies. Life and health. Based on a large number of academic papers and clinical trial results, Britain has developed a variety of drugs to cure motor nerve recession, as well as digital contact tracking technology widely used by countries in recent two years, which has helped predict the spread speed and trend of the epidemic, and was listed in the "Top Ten Breakthrough Technologies in the World" in MIT Science and Technology Review in 2020 and 2021 respectively. The application of big data technology at home and abroad has changed the time-consuming and labor-intensive working methods in many traditional industries.It has achieved fruitful results in intelligence and efficiency.

Ecological construction of big data

The prosperity of big data analysis and processing is inseparable from the technological ecological development formed by large-scale data resource sharing, open technical architecture and open source algorithm model. Open source data. Open source data supports the construction of various big data technologies. For example, ImageNet, a visual data set released by Stanford University in 2009, Mimic-III, a large-scale medical information database released by Massachusetts Institute of Technology in 2015, and Open Graph Benchmark, a graphic data set released by Stanford University in 2020, all greatly influenced the development of big data technology. Open source software. Apache Software Foundation has released a complete set of distributed storage and processing framework Map-Reduce, linear algebraic computing framework Mahout, machine learning library MLlib, etc. based on Hadoop ecology, aiming at enabling developers to quickly realize and apply big data analysis and processing algorithms. Since 2014, open source frameworks of deep neural networks, such as Caffe, Tensorflow and PyTorch, have provided important support for learning intelligent models for different tasks from big data. Open source model. Pre-training language models such as BERT and GPT3 based on large-scale data learning greatly reduce the application cost of related technologies and broaden the downstream application scenarios. In addition, how to ensure data security and personal privacy has recently been highly valued by governments and organizations all over the world. Therefore,Further exploration is still needed to balance technology development and data security, balance efficiency and risk, and establish a good big data ecological environment.　

New Generation Big Data Analysis and Processing Requirements

At present, for large-scale heterogeneous data sets, the mainstream big data analysis and processing method is to constantly try ultra-large-scale model parameters under the general model framework to achieve "end-to-end" analysis and inference. In this mode, the ability of big data analysis and processing depends largely on the support of computing platform and data resources. In practical application, these big data analysis and processing technologies are faced with challenges such as the coexistence of data flooding and missing in real scenes and key areas, the complex uncertainty of big data analysis and judgment, and the lack of data security supervision, which ultimately leads to problems such as poor interpretability of the analysis and processing process, weak model generalization ability, unclear causal laws, unreliable judgment results, and low data value utilization rate. In order to solve these challenging problems, we need to rethink the architecture and analysis mode of big data processing. The new generation of big data analysis and processing technology system should realize high-value knowledge generation, continuous online instantaneous decision-making, safe and credible reasoning and judgment, and be suitable for all kinds of online system action optimization in the future. This paper believes that the new generation of big data analysis and processing needs to meet at least the following four requirements.

Computational paradigm of human in the loop. In order to solve the high-order complex problems that the existing big data analysis and processing methods are difficult to overcome, it is necessary to introduce human intelligence and decision-making, and emphasize the organic interaction among people, machines and data. Different from the original human-computer interaction, that is, the machine follows human instructions or people listen to the output results of the machine, but pays more attention to the deep integration calculation of human brain and machine thinking.

Analysis mode of broad-spectrum correlation. In order to solve the problems of low value density, sparseness, inhomogeneity and lack of key information of big data, on the one hand, multiple heterogeneous signals left by various objects in the multi-domain and multi-dimensional data space of "man-machine-object" fusion are merged, and the signals are enhanced by correlation; On the other hand, we should integrate data and knowledge, build a lifelong learning, transportable and expandable knowledge system, and form a new analysis mode of deep integration of data-driven and knowledge-guided.

Online enhanced processing architecture. With the development of the Internet of Everything and the ubiquitous intelligence, collaborative computing technology and decoupled cloud-side processing framework of big data cloud have become hot spots. Based on the cloud computing environment, the mixed processing of streams and batches will further develop to the edge, and training, learning and reasoning and prediction will be integrated in the front-end equipment. Using the flexible scheduling ability of cloud edge resources, we can realize the pre-positioning of perception and cognition, and support instantaneous decision-making based on dynamic active data in online environment, thus forming a decentralized, heterogeneous and continuous online computing framework.

Secure and credible big data analysis. Security and trustworthiness are the basic requirements to meet the cognitive and decision-making security in key fields and scenarios. On the one hand, focus on the interpretability, credibility and fairness of big data analysis and processing results; On the other hand, it realizes the security protection and anomaly detection of data in collection, storage, use and circulation, and ensures the robustness and immunity of analysis and processing models and methods under strong confrontation attacks.　

A new generation of big data analysis and processing software stack

Under the goal of efficient big data value extraction, safe and credible analysis and processing, in view of the above four important requirements of big data analysis and processing, it is urgent to establish a new system of self-reliant big data analysis and processing technology in the future, and develop a new generation of big data analysis and processing software stack (Figure 1), which is studied from three aspects: the underlying data operating system, the general analysis and processing middleware, and the business-driven computing environment and framework.

Full-stack Big Data System Software

Develop and cover big data system software in many aspects, such as data access, streaming processing, graph calculation, training and promotion.

Data access. Aiming at the problems of various data sources, mixed data types and low storage efficiency of heterogeneous data in the current data collection process, this paper studies the data aggregation and fusion method of "man-machine-object" integration, supports the collection and fusion of structured and semi-structured data from various data sources, explores efficient storage algorithms, improves the utilization efficiency of the underlying storage space, supports the efficient compression and restoration of data, and realizes the efficient perception, collection, fusion and storage of multi-source heterogeneous data in the "man-machine-object" ternary data space.

In terms of streaming processing. There is a single calculation mode in the existing big data processing framework, that is, pursuing large quantities or strong timeliness alone. In order to solve this problem, we will study the streaming processing framework of multi-computing mode integration, support batch processing, streaming processing, graph processing and other computing modes, and realize data processing with low delay, large flow and strong timeliness to cope with the continuous access to high-speed data streams.

Computational aspects of associated data. The existing computing framework is difficult to adapt to the characteristics of strong data dependence, high random access and non-uniform power law distribution of graph structure data. In order to solve this problem, this paper studies the computing engine for graph structure and network big data, puts forward a new distributed computing framework and parallel computing mechanism for large-scale graph data, customizes the query language standards and specifications for large-scale graph data, and realizes the standardization of graph query and graph analysis languages.

Training reasoning. The existing cloud big data processing architecture is difficult to meet the real-time and computing resource requirements of large-scale services. In order to solve this problem, this paper studies the integrated framework of training and reasoning in cloud-side collaboration, which pushes the training and inference process in big data analysis and processing from the cloud to the edge, supports the integration of training and pushing, provides services and performs calculations at the edge of data generation, and realizes "cognitive pre-positioning" and lifelong learning to provide distributed, low-delay, continuous online intelligent services and instantaneous decision-making.

Reconstruct the process of big data analysis and processing

From preprocessing, data representation, semantic analysis and knowledge reasoning, decision-making and judgment to visualization, the whole technology chain is upgraded and innovated.

Data quality processing and simplified calculation. For data quality processing, swarm intelligence technology can be developed to mine high-quality data and realize large-scale data acquisition and processing in a low-cost and efficient way; In terms of simplified computing, we can study the approximate computing theory and optimization algorithm framework based on data complexity, so as to guide people to find the basic method of computing-oriented data kernel or data boundary and build a model with efficient computing ability.

High-level representation and modeling of big data. Explore the theory and method of data representation learning based on unsupervised pre-training, extract high-level semantic abstract data representations from large-scale unlabeled corpus data, and improve the generalization ability of semantic representations; The pre-training and fine-tuning model based on small sample data is studied. Based on the data representation obtained from large-scale unsupervised corpus training, a universal high-quality data representation is constructed to assist upper-level tasks. Explore the theory and method of pre-training data modeling based on domain knowledge, integrate human knowledge into the pre-training model, and improve the learning efficiency of the pre-training model. At the same time, in order to cope with the knowledge gap caused by multi-source heterogeneity of data, it is necessary to further develop cross-modal data representation and modeling and multi-source knowledge fusion technology to realize the joint and utilization of global knowledge.

Semantic analysis and knowledge reasoning driven by big data. Study the semantic fusion method of big data oriented to fine-grained semantic units, and significantly improve the effect of association fusion of multi-source heterogeneous data; Study the mechanism and method of domain knowledge acquisition, large-scale common sense acquisition and understanding, and man-machine cooperation in knowledge acquisition in sparse sample environment, improve the ability of knowledge acquisition and greatly increase the scale of knowledge base; This paper studies the interpretable analysis method based on knowledge map, and the new semantic analysis method of deep integration of data-driven and knowledge-guided, which significantly improves the effect and interpretability of various models driven by knowledge.

Incremental decision-making and judgment of man-machine combination. In the future, a large number of physical devices, unmanned devices and human brains will be "online" and "interconnected" through ubiquitous networks, providing basic material conditions for human participation. As a natural system with intelligence, how to participate in the system loop of machine intelligence is a key problem. In the future, we should focus on solving the problem of thinking fusion or decision fusion, explore a new data science theory that human brain data and machine intelligence system information can be transformed each other, and design a high-efficiency calculation method. The current algorithm model will not continue to learn with the generation of data, that is, it cannot cope with the continuous and unexpected changing environment, especially in mission-critical applications. Therefore, it is necessary to study continuous learning, online learning and other technologies to realize continuous online instantaneous decision-making of algorithm models.

Exploratory visual analysis. Study a new visual interaction theory across subjects (people, machines and things), build a hybrid active visual analysis paradigm of multi-person collaboration, support multi-people to explore the same or different visual views from multiple angles at the same time, and design corresponding visual expression and interaction forms; This paper studies the cognitive computing and aggregation understanding model, method and core technology around big data visualization, and constructs the key technology of human-computer collaborative intelligence and its automatic understanding of big data visual content and attributes; Improve the computer automatic understanding, representation and generation capabilities around big data visualization, and build a visual computing and interaction technology system for big data.

Establishing a Task-Driven Big Data Computing Environment

From three aspects: combinable modular programming framework, scalable big data analysis and processing framework, and task-aware knowledge reconstruction model cutting, it provides a better and more flexible analysis and processing environment for all walks of life with scene awareness and consensus awareness.

Modular programming framework that can be combined. In the future, we can develop an extensible and reconfigurable agile development framework for multi-services, build a multimodal analysis pattern library and an intelligent business programming framework, break through the correlation analysis and holographic display of multi-source heterogeneous data, realize the high-level abstraction of data, algorithms and models, form an intelligent combination analysis operator library supporting task-oriented scenarios, realize the endogenous support of intelligent algorithms, and empower interactive collaborative analysis of human-computer mixing.

Scalable big data analysis and processing framework. In the future, a processing framework supporting flexible computing, scalable model and flexible configuration can be developed, that is, various tasks can be divided according to the actual application task scenarios and the requirements of computing resources to meet specific requirements, accuracy requirements, delay requirements, real-time requirements, etc. At the same time, a scalable big data analysis and processing framework is constructed, which can flexibly allocate computing resources and data scale to achieve flexible adaptation.

Task-aware knowledge reconstruction and model clipping. In the future, we can develop task-oriented advanced knowledge computing language and model clipping technology, realize knowledge reconstruction for specific domain tasks based on general knowledge map, and establish a knowledge computing engine integrating common sense and domain knowledge, which can significantly improve the ability and efficiency of knowledge management and utilization.

Suggestions on Promoting the Development of New Generation Big Data Analysis and Processing Technology

Establish a theoretical basis. The establishment of a new system of big data analysis and processing technology is inseparable from the breakthrough of basic theory. Establish the theory of data complexity and big data computability. Regression data origin, explore the regularity of data distribution, structure rules and space-time scale, so as to design an efficient calculation method. Explore the big data analysis theory of heterogeneous broad-spectrum correlation. The weak signals left by various targets in the multi-dimensional data space of "man-machine-object" fusion are correlated and amplified, and the convergence theory of instantaneous decision inference method in wide-area open-loop and non-uniform dimensional environment is studied. Study the theory of security and credibility of big data analysis and processing. On the one hand, study the theory of data security sharing and privacy calculation to ensure the security in the process of data circulation sharing; On the other hand, the inherent deviation of data and the robustness limit and verifiable theory of analysis and processing when data is attacked are studied, and a mechanism that can be prevented, audited and held accountable is established to ensure the credibility of analysis and processing results in a strong confrontation environment.

Increase the application of traction. The new big data analysis and processing technology system should be able to fully and efficiently empower industries, industries and security fields. At the same time, it is also necessary to use tractive application scenarios such as scientific discovery, life health and social governance to promote the healthy and benign development of the new system of big data analysis and processing. Scientific discovery. With the help of big data analysis technology, this paper discovers scientific laws from a large number of experimental data and forms a new scientific research methodology based on big data analysis. Life and health. Research on big data methods to assist the discovery of complex compound molecules, reduce the research and development cost of new drugs, accelerate the improvement of comprehensive medical level, and use big data means to deal with major epidemics and events efficiently and continuously online. Social governance. Give full play to the advantages of big data technology in multi-party complex related problems and social group cognitive modeling and analysis, and build an artificial intelligent decision-making system to realize scientific government decision-making, accurate social governance and efficient public services.

Data governs the ecological environment. The application and development of big data technology cannot be separated from benign data governance and technological ecological construction. Personal privacy protection. It needs corresponding laws and regulations to regulate it. For example, in 2016, the European Union introduced the General Data Protection Regulations to help citizens control personal privacy data; In 2021, China issued the Data Security Law of People’s Republic of China (PRC) and the Personal Information Protection Law of People’s Republic of China (PRC), which gave reasonable control and supervision to the collection and use of big data. Ensure the safe circulation and sharing of data. It is necessary to establish rules and regulations for data circulation, optimize systems related to data sharing, trading and circulation, clarify the distribution of data ownership, explore the data trading market, and build an orderly data circulation environment.　

To sum up, in the future, we should develop and break through the general model architecture, analysis model and calculation paradigm, and establish a new architecture, new model and new paradigm, as well as a safe and credible new system of big data analysis and processing technology; Build a new generation of big data analysis and processing software stack; Research and develop corresponding theories and practice traction application; Establish a benign data governance ecology and promote the continuous progress and leap-forward development of big data analysis and processing technology.

(Author: Cheng Xueqi, Liu Shenghua, Zhang Ruqing, Institute of Computing Technology, Chinese Academy of Sciences, School of Computer Science and Technology, University of Chinese Academy of Sciences; Contributed by Journal of China Academy of Sciences)

　　The Ministry of Finance today (12th) announced a new version of the Measures for the Administration of Special Funds for Development in inclusive finance, which was optimized and improved in terms of further helping employment and entrepreneurship, improving policy accuracy, and promoting financial support for inclusive finance’s policies to enhance quality and efficiency.

　　The special fund for the development of inclusive finance refers to the special transfer payment funds arranged by the central government to support the development of inclusive finance, which is used to support various localities to carry out the discount of business guarantee loans, the central government to support the construction of inclusive finance development demonstration zone, and the targeted cost subsidies of rural financial institutions.

　　The new "Measures" increase financial support for entrepreneurial employment by raising the upper limit of the amount of entrepreneurial guarantee loans, relaxing the conditions for applying for loans from small and micro enterprises, and introducing government financing guarantee institutions to provide guarantee and credit enhancement for entrepreneurial guarantee loans. Among them, the new "Measures" will increase the upper limit of personal loans for business guarantee loans from 200,000 yuan to 300,000 yuan, and the upper limit of loans for small and micro enterprises from 3 million yuan to 4 million yuan. It is estimated that 116.1 billion yuan of business guarantee loans will be added every year, which will drive about 1 million people to start businesses and find jobs. Optimize the proportion of new recruits in small and micro enterprises to existing employees in enterprises from 15% to 10%, and enterprises with more than 100 employees from 8% to 5%, and appropriately relax the loan application conditions for small and micro enterprises so that more small and micro enterprises can enjoy policy support.

　　In terms of improving policy accuracy, the new "Measures" will narrow the scope of compensation for targeted expenses of rural financial institutions from "all types of loans" to "small credit loans for farmers", focusing on supporting small farmers, ensuring accurate drip irrigation of inclusive finance policies and avoiding generalization of policy support. At the same time, the new "Measures" will include the main forces of the existing rural financial system, such as rural commercial banks and rural credit cooperatives, to further improve the rural financial service system. (Reporter Tian Qiyong)

　　CCTV News:According to the news of China Weather Network, from now on (June 2nd), the high temperature weather in North China and Huanghuai area will begin to develop, and the high temperature weather of 35 ~ 37℃ will appear in most areas, and the local area may even reach and exceed 40℃! In the south, heavy rainfall still prefers to "station" in South China. Today, heavy rain will mainly be concentrated in Guangdong and Fujian, and it will last until about the 3 rd, and the large-scale heavy rainfall weather process in the south will stop briefly.

　　Exposure+dry heat The highest local temperature in Huanghuai, North China is 40℃+

　　In the next few days, the central and southern parts of North China and Huanghuai areas will be controlled by the northwest airflow at high altitude, and the temperature will rise rapidly in sunny and hot weather. Yesterday, the high temperature in this area only appeared in a small range in southern Henan, northern Henan, southwestern Shanxi and other places. Today, the high temperature in the North China Plain will be fully fired and the high temperature territory will be rapidly expanded.

　　The invasion of this wave of "high temperature army" will reach its peak tomorrow and the day after tomorrow, and high temperatures will appear in southern Hebei, southwestern Shanxi, Shandong, Henan, northern Anhui, Hubei, southeastern Shaanxi and northern Hunan, and the intensity will also be upgraded. In big cities, Jinan has continuously predicted the high temperature for six days from today, among which the highest temperature is conservatively estimated to reach 37 ~ 38℃ tomorrow and the day after tomorrow, and Zhengzhou is not far behind. Today to the 4th, the highest temperature is expected to be above 39℃, and the local highest temperature even exceeds 40℃.

　　According to the analysis of meteorologists, this round of high temperature will mainly be presented in the form of exposure and dry heat. In the afternoon, the surface temperature may be 50 ~ 60 C, and the local temperature may even exceed 70 C. Remind the local public not to go out as much as possible in hot weather, and take measures such as sun protection and hydration to avoid causing high temperature heatstroke.

　　Heavy rainfall favors South China. Today, there is still heavy rain in Fujian and Guangdong.

　　In late May, the precipitation in southern China was more than normal, and the precipitation in southern Guangdong and southwestern Guangxi was more than twice as high as normal. Yesterday, heavy rainfall still stayed in the area from the south of the Yangtze River to South China, with heavy rain or heavy rain in parts of southern Jiangxi, southeastern Hunan, southern Zhejiang, central and western Fujian, central and eastern Guangdong, northeastern and southwestern Guangxi, southeastern Yunnan and northern Hainan, and heavy rains in Putian, Fujian, Guangzhou, Guangdong and Qingyuan.

　　Today, the range of heavy rainfall began to shrink, but South China is still the rhythm of being brushed by rain, and the heavy rain is mainly concentrated in Guangdong and Fujian. According to the forecast of the Central Meteorological Observatory, from 08: 00 on June 2 to 08: 00 on June 3, there were moderate to heavy rains in parts of southeastern Inner Mongolia, southeastern Jiangnan, Guangdong, southwestern Guangxi, southern Yunnan and Hainan Island, among which there were heavy rains in eastern Fujian, eastern Guangdong and southern coastal areas, Hainan Island and other places, with local heavy rains (100-130 mm). There are 4 ~ 6 winds in the central and western Inner Mongolia, the eastern part of Northwest China and Xinjiang. There is sand blowing or floating dust weather in southern Xinjiang basin and other places.

　　From 08: 00 on June 3 to 08: 00 on June 4, there were small to moderate rains in parts of eastern Inner Mongolia, south-central and eastern Northeast China, eastern Jiangnan, most of southern China, Yunnan, southern Sichuan Plateau, central and eastern Tibet, southern and northeastern Qinghai, and northwestern Xinjiang. Among them, there were heavy rains (25-40 mm) in parts of southeastern Inner Mongolia, western Jilin, eastern Liaoning, southeastern Fujian and southeastern Guangdong. There are 4 ~ 6 winds in parts of eastern and southern Xinjiang, Hexi in Gansu, northwestern Shaanxi, central and western Inner Mongolia and Shandong Peninsula. There is sand blowing or floating dust weather in southern Xinjiang basin and western Inner Mongolia.

　　From 08: 00 on June 4 to 08: 00 on June 5, there were moderate to heavy rains in parts of the southeastern part of Northeast China, southeastern part of Northwest China, southern Ningxia, northern and eastern parts of Southwest China, and most of southern China. Among them, there were heavy rains (50-60 mm) in southern Gansu, central and southern Sichuan Basin, and western Chongqing. There are 4 ~ 6 winds in parts of eastern and southern Xinjiang, Hexi in Gansu, northern North China and Liaodong Peninsula.

　　Meteorologists reminded that some areas of this round of rainfall overlap with the previous period, and short-term heavy precipitation is obvious in some areas. Jiangnan and South China also need to be alert to secondary disasters such as flash floods, geological disasters and floods in small and medium-sized rivers that may be caused by heavy rainfall and continuous rainfall.

According to the statistics of "China Audio-Visual Big Data" (CVB), during the period from August 7 to August 13, 2021, Armageddon and Dreaming of Blue Sky led the prime-time TV series; New dramas such as "Sweeping the Black Storm", "Those Days", "Ideal City" and "Dear Parents" enrich the screen; "I really love you" and "My love for you is beautiful" ended, and the program was sticky.

Source: China Audio-visual Big Data

"Armageddon" and "Dream of Blue Sky" lead the prime-time TV series in ratings.

&&&"Armageddon" replay ratings fever.

"Armageddon" was replayed on CCTV8 that week, with an average audience rating of 1.549% per episode, ranking first in the single-channel audience rating of prime-time TV series, with an increase of 36.1% over the previous week, and its audience rating was excellent.

&&&The ratings of "Dream of Blue Sky" rose steadily.

"Dream of Blue Sky" continued to broadcast on CCTV1 that week, with an average audience rating of 1.449% per episode, ranking second in the single channel audience rating of prime-time TV series, up 11.0% from last week.

A number of new dramas enrich the screen and ignite the audience’s enthusiasm for viewing.

&&&The theme drama "Sweeping the Black Storm" has achieved outstanding ratings.

Based on a real case, The Storm Against the Gangs tells the story that the central supervision team stationed in Lvteng City, Zhongjiang Province, supervised the provincial anti-gang office, public security departments and other departments to launch a thrilling struggle with criminals, and finally brought the evil forces and umbrellas to justice. On August 9, I really love you was jointly premiered on Beijing Satellite TV and Oriental TV. The average ratings of each episode of the two channels were 0.603% and 0.732 respectively. Subsequently, the drama was broadcast on CCTV8, with a high degree of attention, with an average audience rating of 1.104% per episode, ranking third in the single channel ratings of prime-time TV dramas. Looking back at the opening week of the show, the user scale ranks first in prime-time TV series, and the audience’s viewing enthusiasm is high and the viewing potential is full.

The&&& Times reportage "Those Days" focuses on "pioneers of poverty alleviation" and is loved by the audience.

"Those Days" is based on many winners of the National Poverty Alleviation Award, telling their stories of sweating and selfless dedication at the grassroots level. It was broadcast on Jiangsu Satellite TV on August 10, with an average audience rating of 0.198% per episode.

&&&The industry drama "Ideal City" ranks among the top ratings.

"Ideal City" is about the ups and downs and struggles of ordinary people in the workplace from the perspective of construction industry cost makers. It premiered on CCTV8 and Oriental TV on August 12, among which CCTV8 has an average audience rating of 0.866% per episode, ranking fourth in the single channel ratings of prime-time TV dramas; The average audience rating of each episode of Oriental TV is 0.656%, ranking second in the single channel audience rating of prime-time TV series of local TV stations.

&&&The family drama Dear Mom and Dad has outstanding competitiveness at the same time.

"Dear Mom and Dad" focuses on reorganizing the family and tells the life story of a family who uses their true feelings to resolve conflicts and solve problems with their true love. It was broadcast on Beijing Satellite TV on August 10, and there were 8 episodes broadcast that week, all of which entered the top 2 ratings of various programs of local satellite TV at the same time, with strong ratings competitiveness. The average audience rating of each episode of the drama is 0.560%, ranking fifth in the single channel audience rating of prime-time TV series of local satellite TV.

&&&The ancient legendary drama Song of the King has a large number of users.

On August 8th, "Song of You" was launched on Hunan Satellite TV. Looking back, the number of users ranked second in the prime-time TV series of the week, with an average audience rating of 0.489% per episode, ranking sixth in the prime-time TV series of local satellite TV.

"I really love you" and "My love for you is beautiful" ended, and the program was sticky.

From August 7 to August 13, the urban drama "I really love you" and "My love for you is beautiful" ended, and the audience who continued to chase the drama accounted for more than 70%, and the program was sticky. Among them, "I really love you" was broadcast on Beijing Satellite TV and Oriental TV, and the average ratings of each episode of the two channels were 0.447% and 0.573% respectively, ranking 8 th and 4 th in the prime-time TV series of local satellite TV. "Love for You is Beautiful" was broadcast on Hunan Satellite TV, with an average audience rating of 0.451% per episode, ranking seventh in the prime-time TV series of local satellite TV.

Editor | Sui Fangfang Ning Yahong

Wen | Zero One

The animation "Slam Dunk Master" is synonymous with many people’s youthful memories. Until the original author Takehiko Inoue announced last year that he would start the theatrical animation production, this generation of nouns was often inseparable from the word "regret".

The new theatrical version was written and supervised by Takehiko Inoue himself, which naturally aroused the audience’s appetite to the greatest extent. On November 4th, the new theatrical version of "Slam Dunk Master" released the latest preview. Although the plot points to the specific direction of Miyagi Ryota’s foreign articles, it is still a fog, but the screen shows more of the technical style of "Three Shadows and Two Shades" selected this time, which is very different from the TV animation that is well known to the public, and therefore attracts a lot of controversy from fans.

The new theatrical version is expected to be released in Japan on December 3, less than a month ago. After Takehiko Inoue ended the original comic book in the national contest of Xiangbei vs Shanwang, it can be said that it came to an end at the climax of the story, and the animated version of the story came to an abrupt end before the national contest, which made the imperfect youth even more regretful. Now the controversial new theatrical version is about to come out. Will this be the end of regret, the beginning of a new story, or the end of a feeling?

Before analyzing the possibility of the new theatrical version, perhaps we should first review the well-known ending of Slam Dunk Master-Takehiko Inoue used a full five volumes of comics to describe the final battle between Xiangbei and Shanwang (31 volumes in total), Xiangbei completed a shocking reversal in the ups and downs and soul-stirring competition, and then Takehiko Inoue took a stroke to lead Xiangbei to the defeat of Aihe College, and the story ended abruptly.

Considering the popularity of Slam Dunk at that time, this ending is a unique phenomenon in the history of Weekly Junior Jump. There is no way for the protagonist of Wang Dao comics to attack, and there is no time to grow up and upgrade from Grade One to Grade Three. However, most of the contemporary serial comics, such as Naruto and Dragon Ball, failed to end at the author’s original plan like Slam Dunk, and the long serial often leads to many contradictions in the story.

Therefore, there is an industry story that has been passed down to this day-there was a serious contradiction between Jiyingshe and Takehiko Inoue, and the editorial department forced Takehiko Inoue to continue to create and let Xiangbei win all the time, which led to the early termination of comics. However, Takehiko Inoue himself said: "The end time of Slam Dunk Master is very clear, because I have long decided that the end of Slam Dunk Master is the end of Slam Dunk Master, so the most important task is how to enrich the story and make the game more exciting. How to make your work reach the peak in this competition is the key. For me, there is no other ending better than this one. "

Now, it seems that Takehiko Inoue’s independent trip really makes the original comic of Slam Dunk Master more literary and artistic, and it is still the peak work in the history of the comic industry. In 2006, Slam Dunk Master won the first place in the comic department in the "100 Selected Media Arts in Japan" for the 10th anniversary of the media art festival of the Japanese Culture Department. Takehiko Inoue himself has spent a lot of energy since then to draw a new work "The Odyssey", and the style is closer to art than commercial comics.

Compared with comics, Dongying’s animated version of Slam Dunk is more complicated. There are 101 episodes of TV animation, which is the source of slam dunk that most people are familiar with. Its plot came to an abrupt end when Xiangbei entered the national competition, and it did not enter the two major wars after the national competition. The production level of the animated version is a long story-some shots restore the high level of comics, and the music and songs are excellent, but at the same time, the TV version has added a lot of lame original plots, and the painting level is even higher and lower. Takehiko Inoue himself is quite dissatisfied with the changes and production level of the TV version, which is also the reason why the animated version failed to be completed and ended abruptly with the original plot of the warm-up match of Xiang Ling in northern Hunan.

It can be seen that Takehiko Inoue himself has extremely high requirements for the completion and artistry of his works. The original "Slam Dunk Master" is also a rare work in the history of Japanese comics, and Takehiko Inoue is satisfied with the ending of the story of the First World War of Mountain King. Takehiko Inoue himself is dissatisfied with the popular TV version of animation, which leads to regret to this day.

After many years, Takehiko Inoue re-launched the animated theatrical version of the plan, and he also served as a screenwriter and supervisor. Obviously, his purpose will not stop at taking a sum of money from this IP emotional circle. If Takehiko Inoue pursued this point, it would be impossible for him to finish the comic book like that and have been immersed in his comic art ever since. I believe most people can agree that Takehiko Inoue really tried to make a good new book "Slam Dunk Master" before coming out again.

However, Reading Entertainment Jun also needs to put forward a personal point of view-what Takehiko Inoue needs to make up for when he creates a new theatrical version is not the regret of many audiences, but his regret as a comic book author. Why should the new theatrical version be "made like this"? That’s because Takehiko Inoue himself wants to make it like this.

As mentioned above, "Slam Dunk Master" comic is a rare "low opening and high walking" work, which is not only reflected in the popularity and word of mouth, but also in the expressive force of comic creation. In the early stage of serialization, the cartoon style was still exaggerated and immature, but in the later stage of serialization, Takehiko Inoue’s painting and camera shooting level was almost perfect, and basketball was vividly displayed on paper in a realistic style-speed, strength, urgency, flying sweat and strong emotions, which are still amazing even today.

The biggest shortcoming of the TV animation that has been published is the best part of the original comic book-except for some famous scenes that are almost reproduced in the comic book, a lot of action painting in TV animation is embarrassing.

Therefore, it is obvious that Takehiko Inoue’s own regret about Slam Dunk Master is not an abrupt story, but the animation of Slam Dunk Master, which is the most well-known by the public, does not actually reflect all the charm of the original. Takehiko Inoue spent a lot of painstaking efforts on painting, and his attainments in cartoon dynamics and split-lens have reached the peak, which basically failed to be carried forward in animation.

At this time, let’s look back at the style choice of the new theatrical version. At the beginning, the actions of the two brothers on the basketball court have a clear sense of realism, while the lens that leaves the shoes on the beach and runs away is full of tension, and the style of the characters behind is exactly the same as that of the comic version. Obviously, Takehiko Inoue wanted to show his sense of realism and dynamics in the later period of comics in the new theatrical version, and chose 3D production for simulation.

As for the specific performance of the three styles, it is difficult to expand in a short space, but the "saving money theory" that many fans have eloquently said may not be established. From the production point of view, 3D has completely penetrated into all aspects of animation production at present. A large number of well-known excellent 2D animation works have actually been added with 3D production, such as "The Blade of the Ghost Destroys You Guo" and "The Dragon Ball Surpasses brolly", and the world-renowned three-way animation also has "The Battle of Two Cities", which costs a lot.

Netizens are dissatisfied with the trailer. First, there is a huge difference between the three styles and TV animation, and the style is not coherent; Secondly, even if we accept the style of "Three Shadows and Two Shadows", the standard of the trailer of "Slam Dunk Master" is obviously flawed, especially the details of the stadium are vague, and the number of frames seems to be too low. It is still unknown whether 3D production can make people shine in dynamic tension and visual expression.

I have to say, judging from the effect presented in the trailer at present, it is still far from the shaping that makes people feel nervous in the later stage of the cartoon, which can only be expected that the effect of the feature film far exceeds the preview. Another possibility may be that even in Takehiko Inoue, being a cross-border animation supervisor may not be able to achieve the perfect works in his mind.

Although the new theatrical version has been released in Japan on December 3, there is no news that it has been introduced into China. In the past few years, many well-known theatrical films, such as Doraemon, Detective Conan, Working Cell, Digital Baby, Voyager King and Naruto, have been successfully introduced to China many times, but most of them have been released in Japan for several months or even a year, so even if it is expected to be introduced in China, it will have to wait until next year. Considering that the prospect of imported films in the cinema market is not clear at present, online streaming media will not be available at that time.

* Original article, please indicate the source when reprinting.

On December 10th, the film "The Devil’s Child in Nezha" was officially announced to be released on the first day of New Year’s Day in 2025. The film is a sequel of Ne Zha, directed by director jiaozi, and the plot and production will be innovatively upgraded.

The story of "Nezha’s Devil Children Naughting the Sea" took place after the Armageddon. Although the souls of Nezha and Ao Bing were saved, their bodies would soon be past. Taiyi real person intends to reshape the flesh of the two with seven-color lotus. However, there are many difficulties in the process of remolding the flesh. Where will the fate of Nezha and Ao Bing go?

In the finalized poster, Nezha returned from a bath fire, and the sea war was on the verge. Compared with the first film, the story and production of "Nezha 2" will be a work for the big screen. It is reported that the film Ne Zha was released in 2019, with the second largest number of people (over 140 million) in China’s film history, becoming a well-known super blockbuster. The film not only broke 5 billion yuan at the box office, but also became the box office champion of animation in the history of film in mainland China, and won the best screenplay award in the 35th Hundred Flowers Award and the best art film award in the 33rd Golden Rooster Award in China. After five years, the continuation of the file has undoubtedly earned enough fans’ expectations.

According to the analysis of insiders, "Nezha’s Magic Boy Making a Sea Trouble" is expected to become an explosive film for the Spring Festival. On the one hand, the family-watching temperament it presents is in line with the audience’s "reunion" demand during the Spring Festival. On the other hand, the production of an all-round upgrade of "Nezha’s Devil’s Boy Naughty in the Sea" will enable the audience to enjoy the top visual experience in the cinema, and the sense of "burning" will be doubled. In addition, the story style of "Magic Boy" series with strong comedy and strong resonance has the national temperament suitable for all ages: whether it’s Nezha’s "My fate is not determined by me" or Shen Gongbao’s "prejudice in people’s hearts is like a mountain, no matter how hard you try, you can’t move it", these well-known "famous lines" have aroused strong resonance among the audience and formed a common expression with great significance of the times.

In addition, the reporter also found through observation that according to the release calendar of Cat’s Eye Professional Edition, up to now, there are four films scheduled to be released in the Spring Festival in 2025, namely, The Devil’s Boy in Nezha Naughty the Sea, The Legend of the Condor Heroes: The Great Man, Feng Shen Part II: The War in the West, The Bear Appears and Restarts the Future. (Reporter Chen Yunge for the picture)