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Jeff, the most diligent player in Guangdong Men’s Basketball Team, has grown into an important defender!

Jeff, the most diligent player in Guangdong Men’s Basketball Team, has grown into an important defender!

Since joining the Guangdong Men’s Basketball Team, Jeff has been famous for his diligence and hard work. In daily training, he always goes all out to seriously correct his own shortcomings. Fortunately, these efforts have brought gratifying results. At present, Jeff has become one of the indispensable defenders in the Guangdong men’s basketball team. His skills are constantly improving, and his stable performance has won the respect of his teammates and coaching staff. On the court, Jeff showed extraordinary diligence and perseverance. Whether it is training or competition, he always devotes himself to it and spares no effort to improve his technical level. Whenever the team conducts group training, Jeff is always the first to arrive at the training ground and the last to leave. He explained what is called "diligence" with his own practical actions.

In daily training, Jeff’s earnest attitude is also well known. He constantly reflects and summarizes his training performance and actively seeks ways to improve it. Coaches often see his efforts in details in training and constantly correct the shortcomings of movements and technical movements. This spirit of not being satisfied with the status quo has gradually made his technology more perfect. Jeff’s diligence has also been rewarded. His performance on the court is getting better and better, and he has gradually become one of the indispensable defenders in the team. He can play an important role in both offensive and defensive ends. In the competition, his excellent organizational skills and stable shooting skills made him a scoring weapon for the Guangdong men’s basketball team. On the defensive end, he always goes all out to press his opponent, causing great pressure on him.

Jeff’s technological progress is also obvious. From his performance when he first joined the team to his current popularity on the court, it can be said that it is a leap forward. He constantly explores and tries new technical moves in training and applies them to the competition. This progressive attitude has also won him more respect and trust on the court. However, Jeff is not satisfied with the status quo. He knows that he needs to work harder to gain a foothold in the Guangdong men’s basketball team. He understands that only by continuous learning and progress can he stand out from the fierce competition. Therefore, he always keeps strict demands on himself and constantly pursues opportunities for progress. Among the teammates and coaching staff of Guangdong Men’s Basketball Team, Jeff won wide respect and praise.

His diligence and hard-working spirit is a model in the team and also an example for young players to learn. Whenever teammates encounter difficulties, Jeff is always the first to lend a helping hand, giving encouragement and support. Looking back on Jeff’s growing road, he wrote his own basketball dream with diligence and hard work. His success is inseparable from his love of basketball and his desire for victory. For Xu Jie, this is only the beginning of his basketball career, and he still has more ambitious goals to conquer. I believe that in the near future, he will continue to shine in the Guangdong men’s basketball field and win more honors for the team. To sum up, Jeff, as the most diligent player in Guangdong Men’s Basketball Team, has won the respect and recognition of the team and the coaching staff with his own efforts and efforts.

With the continuous improvement of his skills, he has become one of the indispensable defenders in the team. However, he is not satisfied with the status quo. I believe that with his efforts, his basketball road will be wider and wider. We are looking forward to seeing Jeff continue to shine in future competitions and bring more glory to the Guangdong men’s basketball team!

Sneijder on the Champions League final: Facing Barcelona in 10 years, people also think that we are doomed to failure.

Live on May 21st, when interviewed by Gazzetta dello Sport, Inter Milan star Sneijder talked about the 2010 Champions League semi-final and the upcoming Champions League final between Inter Milan and Manchester City.

Do you still remember the stadium atmosphere when you faced Barcelona in the semi-final of the Champions League in 2010?

"Of course, the scene is like a fairy tale, and I will never forget it. The San Siro will be unique on some nights. The scene against Milan the other day reminds me of the stadium atmosphere when I played against Barcelona in the Champions League semi-final 13 years ago. Accompanied by Materazzi, the’ crazy’ brother, it is even more interesting. "

Do you think Inter Milan have a chance to win the championship against Manchester City this time?

"There is no impossible game. Of course, there are difficult games, but in a single round, anything can happen and Inter can achieve anything. In addition, when facing Barcelona in 2010, people also felt that we were doomed to fail, but on the contrary, we proved that we could compete with Barcelona and win the game. "

In 2010, you won the semi-final against Guardiola’s almost perfect team. This time Inter Milan will face Guardiola again. Do you think Inter Milan can win in the same way?

"The team is different, the player structure is different, and football has also changed. Guardiola has been making tactical innovations, and he has an extraordinary team. Although Guardiola’s frontcourt is gorgeous, the defense line is not airtight, and there may always be some gaps. Then in terms of physical confrontation, Inter Milan is great, Inter Milan is very organized and disciplined, and can give feedback when facing Manchester City. "

But Manchester City has Harland. He is like a monster. How will you stop Harland?

"Harland may be the most destructive center player in European football at present, but no team can win by one player alone. In this case, Inter must work together with Qi Xin, and the whole team will participate in the defense. However, there are too many threatening players in Manchester City, so it is useless to just pay attention to and defend Harland. They also have De Braune and Mahrez, who have defended Harland. Maybe De Braune will seek shooting opportunities and defend De Braune. Maybe Mahrez is empty again. Inter Milan must unite as one, not afraid of strong enemies, and hold their heads high. "

Can lautaro be a key Mr Milito?

"That’s what I think, lautaro and Milito are Argentine fighters. Lautaro can follow Zanetti’s example. In the derby, lautaro wore the captain’s armband of Inter Milan. I think lautaro has the appearance of Zanetti and Milito, and he can be a beautiful fairy tale of the Nerazzurri. "

Lautaro is on the shortlist for the Golden Globe Award. If he can play a key role in the Champions League final, do you think lautaro deserves the Golden Globe Award?

"lautaro must think that winning the Champions League with Inter Milan is the best thing. Moreover, lautaro has won the World Cup, which is a very heavy trophy. In general, I think lautaro is very strong, he is still growing, and now he is at the peak. "

Artificial intelligence replaces manual labor, uses machine learning to carry out scientific research and match the best alloy!

A large group of researchers found that machine learning can be used to help metallurgists find the best metal mixture to make the required alloys. In this way, they found an alloy with a thermal coefficient lower than that currently recorded.

The research was carried out by scientists from Max Planck Institute for Iron Research, who cooperated with colleagues from darmstadt University of Technology, Delft University of Technology and Royal Institute of Technology.

For thousands of years, people have been mixing metals according to their own needs and learned a lot about alloy manufacturing. But finding the right combination always requires some inspiration, patience and luck.

Therefore, most alloys are made from a single base metal (such as iron), and the obtained characteristics are observed by adding a small amount of other metals.

However, in the past few decades, the situation has begun to change-some researchers have begun to make alloys containing several metals in equal parts.

Of course, it is much more difficult to make this alloy with specified characteristics. In this new work, researchers apply machine learning to help this process. They first reduced the test space to only one application-making alloys that will not expand and contract too much when exposed to temperature changes.

In order to create a machine learning application, researchers searched and found metal features that can be used for comparison purposes, and then trained their systems using the information in the currently available databases. In the process, they developed a process to find an alloy suitable for the required goal.

The team’s process was reduced to three main steps: First, they created a new mixture using a model based on information stored in a database describing metal characteristics. Then, they use the second model to help predict the properties of some alloys they created in the first step. The last step is to study the candidate alloys produced by the system and select some of them for practical testing.

Using this system, the researchers obtained 1000 candidates, which were narrowed down to three alloys. Then, they made three kinds of alloys using the mixture described in the system and tested their physical properties.

The team used data from real alloys to train the system and repeated the whole process. They chased it for seven times and found an alloy with a thermal coefficient lower than the current record.

In their paper published in the journal Science, the team described their three-step process and its performance in the test. Scientists from the Institute of Metals, Chinese Academy of Sciences published an article on the prospect in the same issue, describing the work done by the team on this new project.

Reference: https://techxplore.com/news/2022-10-machine-optimal-mixture-metals-desired.html.