标签归档 西安品茶网

[See you at 8: 00] A cadre from Shaanxi took an Audi car and broke into the venue. The Commission for Discipline Inspection intervened in the investigation.

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


● the Central Committee of the Communist Party of China and the State Council issued opinions on supporting Shenzhen to build a pioneering demonstration zone in Socialism with Chinese characteristics.

● The report on the effect of tobacco control in smoke-free cities was released, and the number of smoke-free cities increased significantly. Shanghai, Beijing and Shenzhen scored the top three in tobacco control law enforcement.

● Do rural "married women" have the qualification to divide fields? In 2018, China’s Rural Land Contract Law was revised, stipulating that even if villagers move into cities with their families, they cannot recover their land.

● China ETC service platform is officially put into operation, and car owners can apply for ETC online for free.

● The Beijing No.1 Intermediate People’s Court recently issued a white paper, saying that in the past 10 years, there have been frequent incidents in school bullying, and nearly 70% of juvenile delinquency has been affected by unhealthy networks.

● On the 18th, Fuzhou police informed that FedEx Company of the United States had initiated an investigation into the gun-related express delivery in China.

● PricewaterhouseCoopers released the ranking of the top 100 global market capitalization companies in 2019, and Alibaba and Tencent ranked seventh and eighth.

● Shanxi retired for 14 years and was expelled from the party. He was sentenced to 3 years in prison for contract fraud.

● The Supervision Committee of the Discipline Inspection Commission of Jiayu County, Xianning City, Hubei Province issued a reminder notice on organizing the "school banquet" to rectify the unhealthy trend of "school banquet" and "teacher banquet".


● On the evening of 17th local time, a bomb exploded at the wedding banquet hall of a hotel in Kabul, Afghanistan, which has killed at least 63 people and injured 182 others.

● The Russian emergency service department said that a tourist bus had a traffic accident in the east of Moscow, with 32 Russian citizens on board and 15 people slightly injured.

● 18th, "International Military Competition — 2019 "fell in Moscow. China’s land, sea and air teams won gold and silver in many competitions, such as "suvorov assault", "safe environment", "air darts" and "landing at sea".

● Disagreements among members of Congress who oppose Brexit without agreement have increased the possibility of Brexit without agreement in Britain.

● The Serbian Defense Minister stated that Serbia will not join NATO and will continue to maintain military neutrality.

● Dissatisfied with the forensic judgment of "suicide", Epstein’s team of lawyers said that they would re-investigate.

● On the 18th, the International Sand Sculpture Festival held in Israel opened, and vivid sand sculptures such as beauty and beast, mermaid and ugly duckling were exhibited.

● A study in South Korea pointed out that a kimchi drink helps to thicken the hair on the top of the head and grow new hair within a few weeks.

[hundred States]

● Net exposure A cadre in Dingbian County, Shaanxi Province rushed into the venue by Audi, and the local discipline inspection commission intervened in the investigation, and Zhang Hongxue, deputy director of Dingbian County People’s Social Security Bureau, has filed a case review.

● "A-level scenic spot defense war" in Pingyao ancient city, Shanxi Province, banned 518 out-of-store business households.

● Recently, a firefighter in Anji, Zhejiang Province was killed while rescuing his father and son who fell into the water. Comrade-in-arms recalled: Open his locker, and it is full of medicines for treating falls and injuries.

● On August 15th, a donkey friend was on his way through Gongga Mountain privately, and he was suspected of having a rebellion and died unfortunately.

● The public security organs in Yantai successfully cracked a fraud case of a mega-webcast platform posing as a beauty anchor, and frozen more than 19 million yuan of funds involved.

● Recently, a man in Binzhou City, Shandong Province cursed the collapse of the typhoon building online and was arrested for 14 days on suspicion of seeking trouble.

● A man wearing a security uniform at Beijing South Railway Station claimed that he could bring people into the station quickly and defraud passengers of money. He has been detained by Beijing Railway Police.

Visual sense

● Recently, in Linfen, Shanxi Province, tourists enjoyed the "Rainbow Gate" landscape at Hukou Waterfall of the Yellow River in Jixian County.

● The vending machines in Hortington Beach, USA are completely self-service. If you want to buy a car inside, you need to place an order online, get a token after you pay, and the car will be sent out after you put it in.


● "Business as usual is no longer an option, and the dangerous decline of nature is unprecedented."

— — Hyvonnet, secretary-general of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), said.


● On the 18th, the 2019 Asian Women’s Volleyball Championship kicked off. China’s women’s volleyball team beat Sri Lanka 3-0 to get off to a good start in the Asian Championships.

A serious flood disaster occurred in Ningguo City, Anhui Province. Recently, the office of Ningguo Municipal People’s Government received a total donation of 10,000 yuan. After searching, the anonymous donor named Le Jinmei, 72 years old, is a sanitation worker.

See you at 8 o’clock tomorrow!

Editor: Xiao Xiao Zhu Chunyan

Mistaking bald heads for football AI’s poor eyesight is not only due to less training.

  Photo courtesy of vision china

  Ai growing pains

  Editor’s note In recent years, artificial intelligence has developed rapidly and its application fields have been expanding. However, at the same time, AI "rollover" cases are frequently searched. Based on this, this edition opens the column "AI Growing Pains" to focus on AI "rollover" events, analyze the phenomenon, analyze the reasons, explore the solutions, and look forward to its growth.

  Intern reporter Dai Xiaopei

  After the game, it is probably unprecedented for fans to ask referees to wear hats or wigs.

  At the end of October, Scottish fans experienced an "unforgettable" football match. In the Scottish Football Champions League match between Furness and Elven, the AI cameras on the sidelines turned a blind eye to whether the players passed the ball or attacked with the ball. Instead, they followed a linesman and took a close-up of "C position" from time to time. It turned out that the AI camera mistakenly identified the referee’s bald head as a football, so he chased the whole game crazily.

  Fans who watched the 90-minute game at home spent most of their time not watching the ball, but watching the bald heads. Many netizens joked that this game really "saw a loneliness".

  Why does the AI camera regard the bald head as a football? What do we need to do to prevent AI from making similar mistakes? Can you think that AI is "weak" when there is a "rollover" incident?

  Unconscious "provocation" from bald referees

  From direct participation in sports events to recording athletes’ performance, to live broadcast of competitions and analysis of athletes’ health status, AI is becoming the darling of the sports world. A few months ago, Barcelona Football Club (Barcelona) also joined hands with video technology company Pixellot to create an artificial intelligence coaching solution.

  Unexpectedly, AI, which has made great strides in sports, unexpectedly encountered an unconscious "provocation" from a bald linesman. Because the linesman’s bald head is too bright and the sun shines, the AI camera can’t tell which is the ball and which is the head. Previously, because the Furness team said that the AI tracking technology they used could clearly transmit the live images to the homes of every season ticket buyer, so that fans who could not go to the home due to the COVID-19 epidemic would not miss any game.

  It is reported that the camera used in the live broadcast of this competition is the multi-camera system provided by Pixellot, which cooperates with Barcelona. The system is powered by NVIDIA’s graphics processor (NVIDIA GPU), and the captured video resolution can reach 8K. These cameras can be installed in a fixed position without being manipulated by the camera operator. In order to capture the key moments, Pixellot collected hundreds of thousands of hours of sports videos to train its algorithm on the NVIDIA GPU of the local workstation.

  With a huge amount of available data, using deep learning algorithms and high-performance GPU computing blessing, it has three major driving forces to push AI forward. Why did Pixellot’s AI camera "roll over"?

  After the event, the relevant clubs and the technology companies that make cameras reflected. The problem seems very clear: the size and shape of football are similar to those of a human head, and the direct sunlight makes the AI camera fall into "confusion". I hope this will not happen again, because the Furness team responded that it knew the problem and will improve the next game to bring a better experience to the audience.

  Pixellot also said that it is not difficult to solve this problem. The existing target detection and tracking technology is mature. Pixellot didn’t consider the influence of bald head in the design stage, so it needs to collect some data of football and bald head to fine-tune the algorithm to eliminate the interference from bald head.

  Some technicians said that not only "this is a ball" data set, but also a "this is not a ball" data set is needed when training the AI camera of the live ball game. Bald head, bright white shoes, lighting, balls on the training ground next to the competition field and balls used by players to warm up are all interference factors that need to be considered when training AI.

  AI "poor eyesight" is the norm.

  Although the performance of AI cameras can be improved by increasing data "feeding", strengthening training and improving algorithms, some professionals believe that with the gradual expansion of AI application scenarios, such "rollover" incidents will exist for a long time.

  “AI‘ Rollover ’ It’s normal, no ‘ Rollover ’ It’s strange. " Professor eecs and Huang Tiejun, president of Beijing Zhiyuan Artificial Intelligence Research Institute, spoke frankly when interviewed by Science and Technology Daily reporter.

  Huang Tiejun believes that on the surface, the failure of the AI ? ? camera may be due to insufficient pre-training, but the main reason is that the current computer identification system is only trained with specific data. For example, in the above example, the neural network trained with a large number of football videos has surpassed humans in identifying football, but it ignores that this network is more sensitive to bald heads.

  It is common to recognize or "turn a blind eye" unknown objects at random.

  Machine vision is to endow the machine with visual perception, so that the machine has the scene perception ability similar to that of biological vision system, which involves optical imaging, image processing, analysis and recognition, execution and other components.

  "Take the camera as AI ‘ Eyes ’ In real scenes, there is still a long way to go for AI to recognize football and baldness like human eyes. " Huang Tiejun said.

  When can I finish this road and even realize that the eye of AI surpasses the human eye?

  It depends on when machine vision will bridge the gap with biological vision. "The brain in the skull senses the outside world in real time through more than 3 million nerve fibers, of which there are more than 1 million behind each eye." Huang Tiejun said, "The machine vision developed to this day is still a drop in the bucket compared with the biological vision system that took hundreds of millions of years to evolve."

  The human eye has strong adaptability, can identify targets in complex and changing environments, has advanced intelligence, and can use logical analysis and reasoning ability to identify changing targets and summarize laws. On the other hand, machine vision can use artificial intelligence neural network technology, but it can’t identify the changing target well. Due to the constraints of hardware conditions, the current general image acquisition system has poor color resolution.

  "Compared with biological visual neural networks, the visual neural networks of artificial intelligence are far apart in structure and scale, so their functions are much worse." Huang Tiejun said, "In real applications, machine vision ‘ Rollover ’ It is not an accident. It is only a case to identify the bald head as a football. Similar problems actually exist in large numbers. "

  Huang Tiejun said: "This time, the technology provider can make up for the loophole that the bald head mistakenly thinks of football, but there are still more loopholes. Deceiving the face recognition system with antagonistic picture training is only the tip of the iceberg."

  Different technical routes are racing.

  "Machine vision based on deep learning has made great progress in image recognition, but it has not really solved the perception problem." Huang Tiejun believes that deep learning is far from grasping the complexity of human visual system.

  Deep learning is based on the training of image and video big data, which is far from the biological vision that actively perceives the dynamic world, and it is still not out of demand for computing power. For example, if the video frame rate is increased from 30 to 30,000, the computing power of deep learning needs to be increased by 1,000 times.

  Biological neural network is a pulse neural network, which is more suitable for completing visual information processing. Huang Tiejun believes that learning from the neural network structure and information processing mechanism of biological vision system and establishing a new set of brain-like vision information processing theory and technology is the hope of restarting machine vision.

  Experts said that there are two main technical routes to develop artificial machine vision. One is to build a powerful intelligent system by collecting more data, increasing the amount of data and strengthening training; The second is to imitate the biological nervous system, follow the gourd painting gourd ladle, clarify the structure and even mechanism of the biological nervous system, and develop future intelligence on this basis.

  Huang Tiejun believes that the second path is more effective than the first one. "In a short time, the first one is easier to achieve results. But in the long run, it is more direct to start with biological neural networks and more confident to achieve the goal. "

  At present, most AI scholars support the first path, that is, to develop artificial intelligence including machine vision through "big data+big computing power". Huang Tiejun set foot on the road taken by a few people because he firmly believed that the biological visual neural network had great potential to be tapped. "Biological brain is the product of hundreds of millions of years of evolution, and it is the best transcendental structure. Powerful intelligence must rely on complex structures and stand on the shoulders of evolution. It seems difficult, but it is the fastest. "

  Turing, the "father of computer science", has long expressed his admiration for the biological brain. At the beginning of 1943, Shannon suggested that "cultural things" could be instilled in the electronic brain. Turing once retorted in public: "No, I’m not interested in building a powerful brain. What I want is just an ordinary brain, just like the head of the chairman of AT&T."

  Is developing machine vision, or artificial intelligence, starting from scratch, imitating biological neural networks, or is there another way? There is no conclusion yet. On different tracks, artificial intelligence is accelerating.

  Although there are many cases of AI "rollover", such as the practicability of Google AI eye disease diagnosis system is greatly reduced in Thailand, Tencent AI translation made a joke at the Boao Forum in 2018. But the AI era is accelerating and unstoppable.

  "It must be admitted that AI has indeed solved many practical problems, and it will gradually replace some functions of people. But we can’t exaggerate it too much. It is still far from our imaginary intelligence and needs more breakthroughs. " Huang Tiejun said that to keep an open mind and bridge the gap between "experimental simulation" and "real world", the development of AI technology has a long way to go.

Great spring scenery, you might as well follow the footsteps of the ancients.

Stepping in the spring has existed since ancient times. This spring, many people had to cancel their outing because of the epidemic.

If you stay at home, you might as well have a "spring outing". Those "flowers" in the history of art may give you more beautiful feelings this spring.

In ancient times, spring outing was an outdoor activity that people liked in spring. Especially in the Tang Dynasty, spring outing was an open social custom in the Tang Dynasty, which flourished on the third day of March every year. This activity was recorded in Zhang Xuan’s famous "You Chuntu, the wife of the State of Guo" in the Tang Dynasty. The genius of the painter lies in the fact that the title of the picture is You Chuntu, but there is no grass or tree directly related to spring in the picture. Instead, people feel the breath of spring through the gentle gesture of the fine horse and the thin and gorgeous spring shirt of the characters.

The silk edition of You Chuntu, the wife of the State of Guo, by Tang Zhang Xuan (Song Mo) is 51.8 cm in length and 148 cm in width. It is now in the Liaoning Provincial Museum.

You Chuntu by Zhan Ziqian, a painter of Sui Dynasty, is the only work handed down from generation to generation by Zhan Ziqian, and it is also the oldest picture scroll so far, with the words "Zhan Ziqian You Chuntu" inscribed by Song Huizong. In the painting, the water meets the sky. There are green mountains and lush lakes, scholars riding horse trails or stopping by the lake, and beautiful ladies boating on the water. The wind is warm, the water is microwave-lit, the peaches and apricots on the shore are blooming, and the grass is lush.

Painters attach importance to the mountains and rivers with turquoise, depict the foothills with clay gold, fill and dye the trunks with ochre, take a panoramic view from a distance, and arrange the figures properly, which is the first of its kind in the Tang Dynasty and is very representative in early landscape painting.

You Chuntu by Zhan Ziqian in Sui Dynasty is now in the Palace Museum in Beijing.

The color of the silk book is 43 cm vertical and 80.5 cm horizontal, and it is now in the Palace Museum in Beijing.

Ming Chou Ying’s "Spring Dawn in the Han Palace" is collected in the National Palace Museum in Taipei.

The Spring Dawn of the Han Palace is known as one of the "Top Ten Famous Paintings in China". The picture describes the daily chores in the palace in early spring by hand-rolling: dressing up, watering, cutting branches, arranging flowers, raising, singing and dancing, playing, playing around the stove, playing chess, reading, fighting grass, looking at the mirror, watching pictures, playing with babies, sending food, waving fans, painting empresses, palace moths, princes, eunuchs and painters. The characters were all clothes since the Tang Dynasty, and they were named Han Palace, which was a general term for the palace at that time.

Affected by the epidemic, the "The Truth-Chou Ying Special Exhibition" held by the Los Angeles County Museum of Art in the United States for ten years had to be stopped.

Chou Ying’s You Chuntu in the Suburb in Ming Dynasty

In the Qing Dynasty, Zou Yigui painted the Hundred Flowers Map, which was collected in the National Museum of China.

In spring, spring flowers are blooming. To enjoy the flowers, you can see the Hundred Flowers Picture painted by Zou Yigui, a court painter in the Qing Dynasty.

There are more than 100 kinds of plants and flowers in the four seasons in the picture of Hundred Flowers. The first painting is red plum, narcissus and orchid, interspersed with peach blossom, plum blossom, apricot blossom, winter jasmine, begonia, magnolia, clove, peony, hydrangea, rattan, pomegranate, dandelion, lingxiao, broad bean, rose, poppy, hibiscus, lily, lotus flower, lentil, impatiens, gardenia, oleander flower and petunia. Flowers are arranged in the order of four seasons: spring, summer, autumn and winter, and according to the time of flowering. Painting techniques combine work and writing, such as chrysanthemums outlined with lines, and flowers such as lotus flowers and magnolia flowers are directly rendered. Dotting flowers with chalk dipped in color, dyed the heart, and rendered with water, making the flowers full of three-dimensional sense.

Is it going to snow in Wuxi?

February 3rd is the traditional "off-year" in South China.

"Little Year" is the prelude to "Big Year"

The Spring Festival is getting closer and closer.

So what will the weather be like in the next few days?

The latest release of Wuxi meteorology

According to @ Wuxi Meteorological Forecast

There is still obvious precipitation in our city today and tomorrow.

On the 5th, even the rainy weather will end.

On June 6-7, the city was dominated by changes in the cloud system.

But the weather is not too good, there is still weak rain and snow.

In terms of temperature, the short-term temperature is not too high.

The highest temperature is around 5℃

The latest release of Jiangsu meteorology

According to @ Jiangsu Meteorological Forecast

It will be rainy (snowy) in the province in the next three days.

Today is day to night.

There is snow or sleet in the area north of the Yangtze River.

Among them, along the central and western regions between Huai and Jianghuai

Moderate to heavy snow, local snowstorm

Other areas are cloudy with little to moderate rain.

National scope

It starts today (February 3)

Large-scale rain and snow weather in central and eastern China entered the strongest period.

Parts of Hunan, Hubei, Henan and Anhui

Will become a concentrated area of freezing rain and heavy snowfall.

There will be a heavy snowstorm in the local area

Under the pressure of rain and snow

The temperature in most parts of central and eastern China is lower than normal.

South China will also usher in a significant cooling from the 5 th

Do you expect snow?

Original title: "Is it going to snow in Wuxi? 》

Lose the sparring team for 2 consecutive games! Owen supports the American men’s basketball team: don’t take it too seriously. It happens sometimes.

Live on August 5 th, the US Men’s Basketball World Cup Training Camp is being held recently. The American Men’s Basketball World Cup team lost to the sparring team for two consecutive games and 10 minutes each.

Owen forwarded the report and wrote: "It happens at this time. This is part of the game. Every player in the American men’s basketball team is trying to find his own role and fight for playing time. You have to give the world cup players time to get to know each other and don’t take this report too seriously. "

[Old ghost watching the dish] Serie A SMG Lazio is hard to win.

Earlier, Barcelona officially decided to regain the lost four-year La Liga championship. The whole team in Barcelona is naturally happy, but some media found that Greenzman once again perfectly avoided the chance of winning the La Liga championship. Greenzman fought in La Liga for 13 years and is still the 0 th champion, which is called the black king of La Liga.

Since his debut in the Royal Society in 2010, Greenzman switched to Atletico Madrid, which just won the La Liga championship in 2014. In the following five seasons, Atletico Madrid can only win the second and third place in La Liga, and always miss the La Liga championship.

In 2019, Greenzman switched to Barcelona, but it has never been able to integrate into Barcelona’s tactical system. Barcelona has since lost the title of La Liga, but Atletico Madrid regained the title of La Liga in the second season after Greenzman left the team.

In 2021, Barcelona once again lent Grinzman to Atletico Madrid, and Atletico Madrid declared that the defending league title failed, and Real Madrid sealed the title. The most magical thing is that last October, Barcelona announced that it would sell Grinzman to Atletico Madrid and cut off the relationship with the black king of La Liga. After that, Barcelona became more and more brave in La Liga and finally regained the title of La Liga.

Last year, Manchester United almost came close to signing Rabiot, but in the end, it fell through. Recently, it was reported that the two sides were in contact again, and Tenghage would meet each other in a short time. It was also helpless for Manchester United to do so, because at present, Manchester United’s transfer budget is limited, and it can only start with free agents for the time being. Rabiot, 28, has once again become the target of Manchester United’s poaching.

Last summer, Manchester United negotiated with Juventus to sign Rabiot for 17 million euros, but because it could not meet the crazy salary demands of Rabiot’s mother and manager, it gave up at the last minute and signed casemiro instead.

One year later, the contract period between Rabiot and Juventus expired this summer. Rabiot returned to freedom and was free to contact other teams according to regulations, and even initialled the contract. Manchester United recently contacted Rabiot again.

Due to Manchester United’s recent preparations for selling, it is temporarily impossible to mobilize funds to bring in more troops. At this stage, Manchester United can only build a team by limiting rice and cooking. Rabiot himself is Tenghage’s favorite player and free of transfer fee, so he has once again become Manchester United’s goal of poaching, and there is still a transfer fee left, which can meet the high salary requirements of the other mother. The two sides will actively interact in the short term, and the chance of this transfer is not low.

When you encounter a little pressure, you will become overwhelmed, when you encounter a little uncertainty, you will describe your future as bleak, and when you encounter a little unhappiness, you will make it seem to be the darkest time in your life, probably just to give up the worst excuse you will find tomorrow for not going!

Li Chunjiang’s next home is set, and Guangdong criminals are controversial! Shougang is facing a big exchange of blood, and Tongxi has suffered serious losses.

FIBA officially announced the draw for the 2023 Men’s Basketball World Cup. The Australian men’s basketball team, which belongs to the Asian Basketball Federation, was placed in the first file, the old Iranian men’s basketball team was placed in the fifth file, the China men’s basketball team was placed in the sixth file, and the Japanese men’s basketball team, which has three NBA players and is one of the hosts of this tournament, was only placed in the seventh file, which is surprising. Thirty-two teams will be divided into eight groups. According to the principle of avoiding teams in the same continent, China men’s basketball team will have a chance to advance to the top 16 as long as it doesn’t draw in the fourth place.

According to a number of domestic media reports, the pterosaur team in the Bay Area, which recruited a number of well-known CBA players last season, has officially sent an invitation to Li Chunjiang, who has been banned by chinese basketball association for five years, hoping that it can replace Gore and lead the team in the East Asian Super League next season.

However, it is still possible for Li Chunjiang, a wealthy Shanghai coach, to retain his coaching. After all, he has not been completely banned from basketball activities by chinese basketball association, and his salary remains unchanged. It may also be a good choice to be promoted to become the vice president of the team or the head coach of the echelon and help the club build a youth training system again. Li Nan has the same possibility. As for the notorious Shi Linjie, it is better to keep him away from the basketball circle.

When it comes to Shi Linjie, I have to mention the West Thermal River. At the beginning, the West Thermal River, which beat up Shi Linjie in the restaurant, will expire after the end of this season. Whether to officially retire and become a full-time coach needs to be discussed with the club. However, according to Carter, a well-known basketball media person, although the dividend of CBA League exceeded 20.8 million this season, Nanjing Tongxi Club still lost as much as 15.73 million yuan. Now that foreign aid Achur has left the team and returned to play in Australia NBL, the top salary contract of West Thermal Power River has expired, and all the home and away games will be opened in the regular season next season. Perhaps Nanjing Tongxi can turn losses into profits in the financial report, but it is a pity that with the lack of foreign aid of 4 quarters and 5 people and Achur’s powerful insider, Lin Wei and Wang Lanying will encounter a new show wall again. Perhaps playoff tickets are still out of reach for Nanjing Tongxi.

With the Liaoning men’s basketball team beating Shougang in Beijing away from home, three seats have been decided in the semi-finals of the playoffs, and Zhejiang Guangsha needs to return to the home of Guangdong Hongyuan to fight with the 11-time champion to advance to the top four. Since Ren Junfei scratched Hu Jinqiu’s shoulder with his nails in the last match between the two sides, Guangdong Hongyuan’s football style was once again condemned by fans all over the country. In order to win the game, I don’t hesitate to dig out my crotch, pad my feet, or even use my claws. Is this what the fans want to see in China basketball? No wonder Fan Ziming said something after the war in Beijing and Liaoning that the Liaoning men’s basketball team won the game aboveboard, so the question is, which strong team in CBA won the game aboveboard? Has chinese basketball association signed the long-forgotten referee’s report?

According to Beijing media reports, Guo Ailun was in a bad state in the second match with Beijing Shougang. After the game, he did not return to Liaoning with the team, but stayed in Beijing to treat his finger injury. If Liaoning men’s basketball team wants to go further in the next playoffs, the two main players, Guo Ailun and Han Dejun, must overcome their injuries and find their state as soon as possible.

After the end of this season’s journey, Beijing Shougang will gather again after a month’s holiday. There are many things that the team needs to do during the offseason this summer. Is Leiden, who changed the team’s offensive style after taking over, retained? Are all the three foreign AIDS with poor performance cleaned? Ten players including Fang Shuo, Raymond, Fan Ziming and Tian Yuxiang have expired their contracts, which players should go and which players should stay? Fang Shuo has met the standards of the contract for veteran transfer, and whether the vacant top salary quota is used to introduce them.

Prompted by the platform, my original articles have been published to other platforms such as Gongmou and H recently, or registered under my ID, and the rights protection procedure has been officially started. I hope the plagiarists will respect themselves!

What does offside mean in football match? Will your own team be offside in the half court?

Offside is a professional term in football match, which first appeared in the Rules of Football Match promulgated in 1874. It is defined as: when the ball is passed in front of the attack direction, when the football kicks out, if the teammate of the defensive half is closer to the goal than the penultimate defender of the other side, and wants to use this position to interfere with the game or gain benefits, the player will be sentenced to offside.

There are many technical terms in football matches, such as penalty kick, corner kick, sideline kick, offside, etc. Among them, offside is often heard by many people, but its basic meaning is still ambiguous, and sometimes it is impossible to make an accurate judgment under special circumstances. Let’s explain it in detail below.

When we watch a football match, we often see a sideline referee raise a flag just after a player scores the ball into the opponent’s goal. The player who scored the goal has to shake his head helplessly and throw himself back into the attack. Naturally, the goal just scored will not count. Why? Because he was offside, he was offside at the moment when his teammates passed the ball to him.

Which position on the court is offside? In fact, there is no specific position, depending on the position of the players. First of all, offside can only happen in the opponent’s half court. At the moment when our own players pass the ball, we should observe the positions of all the players. When the player who is ready to catch the ball is at the forefront of all the players (excluding the goalkeeper of the opponent), he is offside. This position is not the position of his feet, but the position of his body, and his shoulders and head are leading.

In the past, offside was judged by the sideline referee with the naked eye, which naturally could not be absolutely accurate. But now, with the introduction of high-tech VAR technology, many offsides between millimeters can’t escape from the "eyes". However, although VAR makes the game fairer, it also reduces the excitement of the game to a certain extent and makes many beautiful goals invalid.

There are some special situations about offside on the court. For example, although the attacking player who receives the ball is ahead of all the defensive players (except the goalkeeper), he is still in his own half, so he is not offside at this time.

If a player on the attacking side is offside at the moment when the player passes the ball, but he doesn’t catch the ball or participate in the next attack, then he is not offside.

The last situation: although a player on the attacking side is in an offside position, he just runs with him, participates in the stall, and creates shooting opportunities for his own players, but he never touches the ball from beginning to end. Is he offside? Real fans, please tell me in the comments section.