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Football physical fitness: how do I maintain my physical fitness during the season?

Hello, everyone, today we share how I keep fit during the season. I hope you like it!

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In 2020, Joshua kimmich scored the winner in the match with Dortmund. In that match, he ran 13.73 kilometers. This is the sport of football and kicking. In this sport, most of the running is not jogging, sprinting, walking, jogging and then sprinting. Because of this, the best way to improve physical fitness is to carry out high-intensity training.

We can achieve this goal by sprinting or intermittent training, but the least boring way to improve physical fitness is to use the ball for high-intensity training, which is also the focus of today. Today we will share the training methods to keep in shape during the season. Let’s officially start:

warm up

Before we start training, make sure that we have fully warmed up, do some dynamic stretching and sprinting, so that all our fast muscles will be activated, thus reducing the risk of muscle strain. Take 10 minutes to relax, and then start formal training.

Figure 1- Warm up

This is the only part that does not include the ball, and it is one of the very good agility and quick training.

We can find a friend, or install an application on our mobile phone, which can flash colors and numbers for us for 10 times as a group. I

Figure 2- Fast Move on Command

When our cell phones flash or our friends shout out a color, we sprint to the sign plate and then go back to the middle. About 30 seconds, depending on the length of the interval. In short, do five groups and rest for 30 seconds between each group.

Figure 3- Gap Time

The rest of the training is divided into three small cycles. The first cycle is what we see now. Before Ronaldinho’s dribbling training and shooting, he makes a 30-yard sprint dribble.

Figure 4- Fast Dribble

This training is great, because it can train our dribbling speed, dribble in a narrow space, and persist in dribbling when we are tired.

Figure 5- Exercise dribbling speed

It’s a hard training, but it’s important for us to keep high shooting quality. Imagine that we will be very tired in the 80th minute of the game, so even if we are tired, we should be able to shoot correctly.

Figure 6- Correct Shooting

In this cycle exercise, we can jog or walk back to the starting point as a break between repeated exercises.

If we only have one or two balls, run after them, make sure we are jogging, then jog back to the starting point, and then give yourself an extra 30 seconds to rest.

Figure 7- Jogging or Walking

In addition, because it takes a long time to start each action, you should do it for 15 minutes before continuing this circular action, and it should be very fast.

Before entering the second cycle, give yourself three to five minutes to rest. We should make sure that each cycle has intensity, and even if we are tired, we should work 100%.

Figure 8- Guaranteed Strength

In the second cycle, we make 10 passes to the wall, then zigzag dribble to practice turning and dribbling, then rush out and beat the last sign plate with one of our actions.

Figure 9- Passing the ball to the wall

Put the sign plate 8 to 10 yards away, make sure we don’t go straight through it, rush out of the sign plate for at least a few steps, then cut back the sign plate and walk back to the starting point.

Figure 10- Switch back the sign plate

Once again, this is our break time, and a sign plate is set for passing the ball on the wall to ensure that we keep good habits when passing the ball and that we will not be lazy.

This cycle improves our ability to pass, touch the ball with the first foot, dribble and cut inside with the ball, and the ability of all 1V1 to beat the defender.

All this will make our leg muscles stronger, and at the same time enhance our heart and lung function. Do it for 10 minutes, and then rest for three to five minutes before continuing.

Figure 11- Cardiopulmonary Enhancement

Figure 11- Cardiopulmonary Enhancement

The hardest part was left to the end. Many people hated doing this exercise, but it was the simplest exercise, and it was timed in 10 minutes.

Start by running back and forth, run to the small restricted area and then run to the penalty spot at the back, then run to the top of the restricted area and come back.

Figure 12- Simple exercise

After the round-trip run, start bouncing the ball as soon as possible, don’t rest for a few seconds before starting, and then bounce the ball 30 times before starting the next round-trip run.

Figure 13- Start the ball.

The key point here is that if we screw up and drop the ball, then we need to start the next round trip immediately, which puts pressure on the ball-passing part to ensure that we concentrate on the ball-passing and strive to maintain the quality.

If we don’t have this kind of pressure, then we will drop a few times, then pick up the ball on foot, and then continue to bounce the ball and give ourselves a long rest. After 10 minutes, we have finished the hardest part, but we are not completely finished.

Figure 14- No End

Although this is not the main part of training, it is very important to do 5 to 10 minutes of cold-body exercise, which will make our muscles less tense and help us recover from the next training.

Figure 15- Let the muscles loose.

Don’t skip this link, do some static stretching or the same dynamic movement as before, but with less intensity.

Figure 16- Don’t try to hide from the tiger

Figure 16- Don’t try to hide from the tiger

That’s all for today. Please continue to pay attention to the road of football for more exciting football teaching!

Global artificial intelligence competitiveness, the United States first, South Korea seventh, China ranked?

On March 12th, the Korean media Caijing Today published an article saying that some analysts said that South Korea’s AI (artificial intelligence) competitiveness ranked seventh in the world. The United States ranks first in the world.

According to the "The Global AI Index" of British data analysis media Tortoise Intelligence, the AI competitiveness of the United States ranks first. The analysis target is 62 countries.

The scores of the United States are: 86.19 for implementation, 100 for innovation and 88.69 for investment. Totus Intelligence converted the scores of various fields in the United States into a comprehensive score of 100, and scored other countries as a standard.

In second place is China. China scored 69.36 points for implementation, 75.69 points for innovation and 69.44 points for investment, with a comprehensive score of 62.92 points. Ranked third to sixth are Britain (40.93 points), Canada (40.19 points), Israel (38.89 points) and Singapore (38.67 points).

South Korea ranked seventh (38.6 points). The scores of each field are: 56.21 points for implementation, 51.95 points for innovation and 46.45 points for investment. In terms of specific projects, South Korea scored high in government strategy (87.5 points) and infrastructure (85.2 points). However, it ranks lower in commercial projects (5.4 points) and talents (14.5 points).

Ranked 8th to 10th are the Netherlands (36.35 points), Germany (36.04 points) and France (34.42 points). In addition, Japan and India ranked 16th (30.53 points) and 17th (30.36 points) respectively.

Epic CEO: Commercial AI should not use works for training without the author’s permission.

Epic Games is not only the game and technology, but also the parent company of ArtStation, a platform for hosting commercial artists’ works. In a recent interview, Tim sweeney, CEO of Epic Games, said that he hoped the company would strike a balance between the protection of works of art and the participation of creators in new technologies such as AI image generation.

A few months ago, ArtStation created a label called "noAI" because of the protests of many artists, and the tagged works will be banned from being used by the AI system on its platform.

Sweeney said: "We support many game developers. Some of them will use artificial intelligence, and some people will hate artificial intelligence. We hope to be a reliable neutral intermediary that does not hinder the development of the industry, but we will not deliberately collect data on everyone’s works. "

During the interview, he also explained that if it is for commercial use, the AI system should never use their works without the unification of artists.

He added: "They grab people’s works of art on the Internet and then use it without their explicit consent."

"A company should not do such a thing, right? Maybe it is within the scope of research and study (no problem), but when you sell it for making commercial works of art and commercial products, you should not do so. "

The core technology of "making the brain" serves the important needs of the country

In today’s world, the level of human science and technology has reached an unprecedented height. With the entry into the intelligent era, a new round of scientific and technological and industrial revolution characterized by the deep integration of information technology and manufacturing industry has flourished, and technical groups in many fields have broken through and merged, which has promoted profound changes in manufacturing production methods. Countries all over the world have taken a series of major measures, hoping to rely on the manufacturing revolution with intelligent manufacturing as the core, consolidate the foundation of innovation and development of manufacturing industry, and build new kinetic energy and new advantages. As a manufacturing power in the world, China has listed intelligent manufacturing as the main direction determined by Made in China 2025, which is not only the key to promote the transformation and upgrading of China’s manufacturing industry, but also an important strategy to become a manufacturing power in the world.

Professor Song Xuan from the Department of Computer Science and Engineering in south university of science and technology of china, whose main research direction is artificial intelligence and its related fields, including big data analysis, data mining and urban computing, has applied the research results to disaster emergency and epidemic prevention of major infectious diseases, and achieved good results. At present, in the series of research in the field of intelligent manufacturing, it contributes scientific research strength to promote the development of intelligent manufacturing in China and accelerate the pace of building a manufacturing power in China.

Intelligent analysis of data model is committed to tackling the key core technology of "intelligent brain"

Since 2013, China’s development strategy has specifically pointed out that "the country’s strength depends on the real economy and cannot be bubbled" and "the innovation-driven development strategy is deeply implemented to enhance the core competitiveness of industry". "Made in China 2025" clearly emphasizes the need to accelerate the integration and development of a new generation of information technology and manufacturing technology, and take intelligent manufacturing as the main direction of deep integration of the two; Efforts will be made to develop intelligent equipment and products, promote the intellectualization of production processes, cultivate new production methods, and comprehensively improve the intelligent level of R&D, production, management and service of enterprises. Intelligent manufacturing can effectively improve the production efficiency of manufacturing industry, shorten the product development cycle and reduce the defective rate of products, which is the key to building a digital China, realizing "Made in China 2025" and breaking the chip blockade.

The national science and technology strategy points out that "it is necessary to cultivate a large-scale team of young scientific and technological talents, focus on the policy of cultivating the strength of national strategic talents, and support young talents to take the lead and play the leading role." As a young scientist born in 1980s, Professor Song Xuan is currently presiding over the national key R&D project "Multi-dimensional data space and service theory of manufacturing product life cycle value chain". The project focuses on the key technology of "manufacturing brain", which is the key theoretical model and technical method of tackling the problem, and provides technical support for the intelligent upgrading of high-end manufacturing industries (such as automobile manufacturing) in China.

Professor Song Xuan said that there are some problems in the process of data storage and analysis in manufacturing industry, such as chaotic data interface, inefficient storage, low level of intelligence and opaque information, which affect the quality of product collaboration and data value-added in manufacturing industry and are not conducive to the sustainable development of manufacturing intelligence. In view of this situation, the project puts forward a set of multidimensional data space and service theory of manufacturing product life cycle value chain, which integrates data sharing and integration and data analysis service. The multi-dimensional collaborative data space prototype model theory of product life cycle value chain based on blockchain proposed by this project can guide safe and efficient data sharing and assist product R&D collaboration; The data analysis method based on deep learning and knowledge generation technology proposed by the project can realize causal inference, speed up the traceability of problems and shorten the product development cycle. Taking intelligent manufacturing as an opportunity and the actual upgrading demand of manufacturing industry as a guide, the project focuses on the two cores of "manufacturing brain": data flow and intelligent analysis, which is of great significance for China’s manufacturing industry to build a competitive advantage in the industrial chain and further improve the intelligent level of manufacturing industry. The project also puts forward a set of multi-dimensional data space and service theory of manufacturing product life cycle value chain, which integrates data sharing and integration and data analysis service.

Professor Song Xuan believes that intelligent manufacturing needs a "manufacturing brain", and manufacturing data is the "blood" of "manufacturing brain"; Algorithm models such as deep neural network are the main part of "manufacturing brain" and play the role of thinking and decision-making; Data flow is collected in the "manufacturing brain", which can automatically complete data analysis, intelligent decision-making and product life cycle prediction and deduction, and realize efficient intelligent manufacturing. The theory of multi-dimensional collaborative data space prototype model of product life cycle value chain based on blockchain proposed by Song Xuan can guide safe and efficient data sharing and assist product R&D collaboration. The data analysis method based on deep learning and knowledge generation technology proposed by the project can realize causal inference, speed up the traceability of problems, shorten the product development cycle, and predict and simulate the product life cycle.

Building an urban brain platform and focusing on building a smart city

From December 2019 to December 2022, with the liberalization of the epidemic, the pneumonia epidemic in Covid-19, which lasted for three years, finally came to an end, and the epidemic situation was gradually controlled. In this epidemic prevention and control, Professor Song Xuan led the project team to develop the "novel coronavirus (Covid-19) communication modeling, prediction and simulation deduction platform driven by human flow big data and AI", which played an important role. Based on artificial intelligence (AI) technology, the model of potential infection sources and risk areas was mined on the city scale, and the communication modeling, prediction and simulation deduction platform for COVID-19 was built. For the big data analysis and AI modeling platform for novel coronavirus communication, the prediction and simulation deduction model was complete. Made outstanding contributions to the prevention and control of the epidemic.

In addition, Professor Song Xuan, as the project leader, has developed an "epidemic prevention chain" APP on the mobile device side. The APP on the mobile phone side can assess the risk of epidemic or major infectious diseases (such as new crown pneumonia, seasonal influenza, etc.) in real time by sensing the contact between users and others and analyzing various urban environmental big data (such as crowd density, air quality, environmental humidity and temperature, etc.).

In fact, as early as 2011, the big data analysis and modeling of people flow carried out by Song Xuan’s team contributed to the fight against viruses and natural disasters. In March 2011, after the earthquake in Japan and the Fukushima nuclear accident broke out, Song Xuan led the team to develop a number of emergency flow prediction models and a system to help the Japanese government analyze the evacuation and migration of victims after the disaster and formulate more efficient post-disaster reconstruction policies. In 2016, in response to the Ebola outbreak in West Africa, the research of Song Xuan’s team helped the International Telecommunication Union to analyze the flow of people in West Africa and the spread and infection of Ebola virus, which played an important role in the prevention and control of Ebola virus.

Professor Song Xuan has been deeply involved in the field of artificial intelligence for 15 years. He deeply realized that the main place for modern people to live and work is the city, and the core of urban management is to make people’s life in the city safer, more comfortable and more convenient. With the proposal of building a smart city, Song Xuan now pays attention to urban data and tries to alleviate or solve various "urban diseases" such as traffic congestion, environmental pollution and natural disasters. His team realized the simulation and prediction of the large-scale movement of urban people by building a modeling model of urban mass people movement, thus realizing efficient urban intelligent management. Song Xuan is currently tackling key problems and building an urban brain platform, bringing together all aspects of urban informatization and the whole process of urban management through high and new technologies to carry out control and support, so as to ensure travel safety, give full play to the efficiency of urban infrastructure, improve the operational efficiency of transportation system and the level of urban governance, alleviate all kinds of "urban diseases" to the greatest extent, and help urban governance to be more scientific, refined and intelligent.

"Scientific research should always serve the public" is precisely with such a sense of mission and responsibility. In the future scientific research, Song Xuan will always focus on his mission, aim high and live up to his youth, take data as the core and science and technology as the weapon, and strive to build an intelligent brain, help build a smart city and build an intelligent manufacturing power.