In September, 2023, Huawei quietly released the Mate 60 series mobile phones. As it was equipped with a brand-new self-developed Kirin 9000s processor, this series of mobile phones, once it came out, triggered a buying craze in the consumer market. Presumably, many small partners are curious about when Huawei P70 series mobile phones will come out.

　　Recently, the well-known digital blogger "the factory director is Guan Xue" broke the news that Huawei P70 series is expected to be released at the end of the first quarter of 2024, equipped with the Kirin 9000s processor with the same model of Mate 60 series mobile phone. "This generation of P70 series is said to have surprises in gameplay, and the photos of P60 series are amazing enough. It is estimated that the new gameplay of P70 series will come again!"

　　It is understood that on March 23, 2023, Huawei released a brand-new Huawei P60 series mobile phone, which is inspired by "natural beauty" and provides four colors: rococo white, emerald green, feather sand purple and feather sand black. In terms of performance, Huawei P60 is equipped with Qualcomm Snapdragon 8+4G processor, pre-installed with HarmonyOS 3.1 operating system, 1.07 billion colors on the screen, 4,815 mAh battery, and two-way Beidou satellite message and Linxi communication.

　　Tianjin University Beiyang Power Team participated in the Formula Car Competition for Chinese College Students. Photo courtesy of Tianjin University

　　If you ask a candidate who has just finished the college entrance examination, what is "machinery"? Perhaps the answers will be "gear", "lathe in the factory" and "robot", and at the same time, we should think of the impressions of "wide application" and "everywhere in production and life".

　　Before learning machinery, Zhuang Zheming’s concept of machinery came from the cartoon "Transformers" he saw when he was a child. He chose the major of mechanical design, manufacturing and automation in the School of Mechanical Engineering of Tianjin University with a vision for robots. He graduated this year and fulfilled his dream of "robot" with a graduation design work of "snake robot". This work also won him the first prize in the 13th Graduation Design Competition.

　　Let the students who have just entered the school gate and are still a little ignorant about the concept of mechanical discipline know more about the connotation of machinery when they leave the school gate, and plant a seed of "big machinery" that is "new and new" through "professional blending and advantage integration", and have the ability and experience of innovation and entrepreneurship, which is the concept and practice of "3 integration and 4 behavior" talent training exploration in the School of Mechanical Engineering of Tianjin University.

　　"Three-in-one and four-in-one" means to further emphasize and attach importance to the cultivation of compound and innovative talents on the basis of the traditional training objectives of knowledge, ability and quality, put forward the reform concept of integration, sharing and innovation, construct the "three-in-one" guarantee system of professional integration, resource integration and teacher integration, and explore the "four-in-one" training mode with team as the body, scientific research as the source, innovation as the foundation and entrepreneurship as the purpose.

　　The dilemma of "3A College"

　　In Tianjin University, as a discipline established at the beginning of the school in 1895, machinery is an "old discipline" of the same age as the school. In the view of Wang Tianyou, president of the School of Mechanical Engineering, the development history of mechanical discipline in modern China has always stood at the forefront of history, but compared with a hundred years ago, "machinery" has undergone earth-shaking changes from the outside to the inside.

　　The three first-level disciplines of the School of Mechanical Engineering of Tianjin University: mechanical engineering, mechanics and power engineering and engineering thermophysics, were all rated as "A" in the fourth round of national discipline evaluation, so the School of Mechanical Engineering is also called "3A College" of Tianjin University. The college has four undergraduate majors: mechanical design, manufacturing and automation, engineering mechanics, energy and power engineering and industrial design. Each major has a unique historical advantage and a strong disciplinary advantage. "Just like the four brothers in a big family, they are all wonderful and all ‘ Take care of each other ’ Live happily. Daily teaching and student defense, including teachers, are very independent. " Talking about the situation of three disciplines in the college more than ten years ago, Cao Shuqian, vice president of the college in charge of teaching, said that this has caused some problems in student training, the most obvious of which is that students’ knowledge and ability are single, and their ability to cross and cross borders is not strong; The superior teaching resources are scattered, and the students’ innovation platform is poorly shared. However, due to the prevailing atmosphere of emphasizing scientific research over teaching in domestic universities at that time, teachers’ investment in teaching was relatively insufficient and they lacked initiative in teaching reform.

　　At that time, the speed of knowledge updating and interdisciplinary research in the international scope was accelerating, the coverage of major in mechanical engineering was getting wider and wider, and the development of new economy and new industry was changing with each passing day. There was an urgent need for compound and innovative engineering talents with cross-border and innovative ability. Obviously, the compartmentalized education and teaching organization model can’t meet the requirements of talent training.

　　Tear off the "label"

　　On the one hand, under the baton of scores, students’ enthusiasm for participating in innovative and entrepreneurial projects is not fully encouraged; On the other hand, the habitual identity consciousness of "you are mechanical", "I am dynamic" and "he is mechanical" has become an invisible "label" attached to teachers’ hearts, and teachers’ motivation for interdisciplinary teaching to cultivate talents is not recognized.

　　In order for teachers to devote more energy to undergraduate teaching and students to devote more energy to innovation, it is necessary to change the meaning of grades and tear off the inherent identity "label" in teachers’ hearts.

　　"The first thing to change is the meaning of the score." Cao Shuqian said that when there were only 2 credits in innovative courses at that time, the college increased the weight of scientific and technological innovation in students’ total scores, so that students’ scores were not only the exam results of the courses, whether in the evaluation of Excellence or in the insurance research. For example, the College issued the Implementation Measures of School of Mechanical Engineering of Tianjin University to Encourage Students to Participate in Extracurricular Science and Technology Competition (Trial), which clearly stipulates that undergraduates who won the top three awards in Class A projects during their studies (the weighted scores in the first three years were in the top 60% of their majors), undergraduates who won the top two awards in Class B projects and special group projects in Class C will be given extra points on the basis of the average weighting of students when they are exempted from graduate students. Award-winning for different projects can be accumulated separately. At the same time, the determination of the workload of competition instructors and the recognition and reward of competition award-winning instructors (coaching staff) have also been clearly defined.

　　"All courses are open and teachers are open. Which course do you want to talk about, after passing a series of processes such as training, assessment, class assistance, collective lesson preparation and trial class, you can join the teaching team of the course and walk onto the podium. " Cao Shuqian said, teachers of public courses in disciplines get through, teachers of cross-disciplines in colleges get through, and the professional/disciplinary boundaries are broken … … At the beginning of the reform, the college has set up 17 teaching teams, 35 responsible posts and backbone posts, and teaching posts in several disciplines. Teachers’ performance and promotion are directly linked to teaching. This kind of teacher team integration and curriculum integration, on the one hand, has realized the adjustment and optimization of teaching teachers according to students’ needs, on the other hand, has promoted teachers’ investment in teaching, guaranteed the construction of important teaching projects, and improved the teaching effect as a whole.

　　Blend and create new things.

　　The team of teachers in the college has been opened, and the problem of sharing teaching resources and innovation platforms has been solved. The scattered 19 teaching laboratories were integrated into 4 experimental teaching centers, of which 3 were approved as national experimental teaching demonstration centers; Establish two national engineering education practice centers; Six national excellent courses and resource sharing courses have been built, and a group of innovation and entrepreneurship platforms has been built. The integration of platform and resources provides students with a broader platform for innovation and entrepreneurship, and also allows students to feel the struggle of youth in the initial experience of innovation and entrepreneurship and find the future direction.

　　Liu Songtao, the founder of Chenxing (Tianjin) Automation Equipment Co., Ltd., founded Astro Boy, a high-end parallel robot brand, after studying in the School of Mechanical Engineering of Tianjin University for 7 years, and won the gold medal in the final of the 4th China "internet plus" University Student Innovation and Entrepreneurship Competition. Looking back on his own road of innovation and entrepreneurship, Liu Songtao believes that the experience of participating in the "Beiyang Power" team as an undergraduate made him experience the process of "entrepreneurship" for the first time. When he entered the laboratory in his junior year, he cooperated with his classmates to complete the research and development of a prototype of a new four-degree-of-freedom parallel robot product and won the first prize in the graduation design competition, which encouraged him to embark on the road of innovation and entrepreneurship.

　　Compared with the seniors, Zhuang Zheming, who won the first prize in the graduation design competition this year, has the same rich experience in innovation and entrepreneurship: IEEE China Robot Design Competition, National Mobile Internet Innovation Competition (University Group), First Prize of National Renewable Energy Science and Technology Competition for College Students and National Youth Environmental Protection Competition & HELIP; … For Zhuang Zheming, the process of participating in the innovation and entrepreneurship competition is a process of teamwork, continuous learning and self-enrichment.

　　"4 for" promising

　　"Students’ bi-design comes from scientific research, innovation (college students’ innovation and entrepreneurship training program) comes from scientific research, competition comes from scientific research, students’ cross-disciplinary team cooperation and teachers’ cross-disciplinary guidance run through the whole process of students’ innovative training, and students’ innovative thinking and ability as well as their ability to solve complex engineering problems are fully exercised." In Wang Tianyou’s view, the "four-for-one" training mode with team as the body, scientific research as the source, innovation as the foundation and entrepreneurship as the purpose provides an effective path for the training of compound and innovative talents of traditional engineering majors.

　　Today, as the first mechanical undergraduate graduation design competition in China, it has been held for 13 consecutive sessions, expanding from the original college to 14 universities in Beijing, Tianjin and Hebei and Central and East China. The entries involved more than 10 major mechanical engineering majors, including mechanical design and manufacturing and automation, industrial design, energy and power engineering, engineering mechanics, process equipment and control engineering, and thousands of students participated.

　　All students realize the cultivation of basic innovation by participating in teachers’ scientific research projects and carrying out graduation projects; Teachers extract innovation projects and discipline competitions from scientific research projects, and more than half of the students realize the promotion and innovation training by participating in innovation and competition projects; Some students extract entrepreneurial projects from big innovation and competition projects to create technology companies. Student innovation projects have increased from 37 in 2012 to more than 100 projects every year; Students independently set up scientific and technological entrepreneurial teams from scratch, and now there are 14 and 12 registered scientific and technological companies.

　　In the eyes of teachers and students, the training mode of "three in one and four in one" promotes the ability and level, and it is also the enthusiasm and passion for continuous innovation and entrepreneurship, which is the fashion password of century-old machinery. (Correspondent Liu Xiaoyan)

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Recently, Yan Ning, a famous structural biologist, announced that he would resign from Princeton University and set up the Academy of Medical Sciences in Shenzhen. In response to the latest research that she will focus on when she returns to China, she said that the discovery of structural biology is of great significance to the pharmaceutical industry, including the research on the interaction between drugs and hormones, which has more implications for drug development and disease treatment.

Yan Ning said, for example, that through the method of structural biology, scientists saw for the first time that two commonly used drugs used protein as a "scaffold", which directly "side by side" affected the normal function of protein.

Technological change promotes the development of structural biology.

Protein, as the scaffold and main substance of human tissues and organs, plays an important role in human life activities. In the cell, a large number of protein elements form the molecular machines, which performs important molecular processes in the cell through the interaction of protein, including the cell’s response to the external environment and the internal environment, and also forms a signal transduction network system with the interaction of protein as a link.

Structure By studying the three-dimensional structure, dynamic process and biological function of biological macromolecules, biology can provide more details of protein interaction and real-time dynamic process, thus helping scientists to understand molecular mechanism and explore the pathogenesis of diseases related to macromolecular dysfunction.

The development of biology not only contributes to the discovery of drugs, but also affects the research fields of life sciences including biochemistry, cell biology, genetic development, neurobiology, microbiology and pathopharmacology.

The development of science and technology has been promoting the progress of structural biology. In 2017, the Nobel Prize in Chemistry was awarded to cryoelectron microscopy, which can greatly improve the efficiency of analyzing the atomic resolution three-dimensional structure of large protein complexes; Moreover, researchers can freeze biomolecules in motion and visualize their motion process.

This breakthrough has brought a perfect storm to the field of structural biology. In recent years, important breakthroughs have been made in the field of life sciences. The work of China scientists such as Cheng Yifan, Shi Yigong, Yang Maojun and Liu Zhengfeng has also benefited from this technology. They have analyzed the important complex structure of atomic resolution. In addition, the enzyme that produces the protein that leads to Alzheimer’s syndrome was analyzed by cryomicroscope.

In August, 2015, Shi Yigong’s research team published an article in Nature, reporting the three-dimensional electron microscope structure of human γ -secretase with a resolution of 3.4 angstrom, and studying the function of the pathogenic mutant of γ -secretase based on the structure analysis, which provided an important foundation for understanding the working mechanism of γ -secretase and the pathogenesis of Alzheimer’s disease.

In February, 2020, after the outbreak of COVID-19, the research team of West Lake University successfully analyzed the full-length structure of novel coronavirus receptor ACE2 for the first time by using cryo-electron microscopy, which helped the research and development of drugs in COVID-19.

What does AI predict protein folding change?

With the help of artificial intelligence technology, DeepMind, a subsidiary of Google, recently announced 220 million kinds of protein structures predicted by AlphaFold software, which shocked the field of structural biology, because it indicates that artificial intelligence enterprises have begun to "truly hand over the power of Al to scientists all over the world".

Scientists compare the significance of this disruptive breakthrough with the human genome project. In the 1990s, when the Human Genome Project began to take shape, scientists realized that it was not enough to master the base arrangement of genes, but also to know the protein, the product of genes.

Shi Yigong, academician of China Academy of Sciences, structural biologist and president of West Lake University, commented on AlphaFold’s work: "Its accurate prediction of protein structure is the greatest contribution of artificial intelligence to the scientific field, and it is also one of the most important scientific breakthroughs made by mankind in the 21st century."

Shi Yigong once told China Business News: "AlphaFold represents the world’s leading artificial intelligence protein organization prediction system." At the same time, he said, China’s high-tech enterprises are catching up, expecting to bring surprises to the world in the near future.

He also said that the improvement of the accuracy of protein structure prediction will greatly benefit the pharmaceutical industry. "Artificial intelligence prediction of protein structure provides an important foundation for drug design and optimization. The structure of drug target proteins combined with all small molecule drugs can almost be wiped out by AlphaFold. " Shi Yigong said.

In the opinion of some scientists, although AlphaFold’s work is shocking, the accuracy of drug research and development prediction is not enough. Professor Liu Zhijie, executive director of iHuman Institute, Shanghai University of Science and Technology, told the First Financial Reporter: "It has been a long time to predict the protein structure. Now the accuracy of the prediction is definitely getting higher and higher, but it still hasn’t reached the precision of crystal structure."

Liu Zhijie First Financial News told the reporter that the crystal structure is the most accurate, and now artificial intelligence can predict the protein folding with the accuracy of electron microscope and nuclear magnetic resonance. In addition, because there are thousands of structures in protein, the difficulty of analysis is different. "If some protein sequences are similar to the known structure of artificial intelligence, it is easier to predict." Liu Zhijie said.

However, he still believes that with the continuous improvement of the prediction accuracy of protein folding, it will play a more important role in the field of life sciences in the future. "If the current prediction can reach the accuracy of electron microscope, some drugs can already be designed. Drug design is the biggest application field of artificial intelligence protein folding prediction." Said to Liu Zhijie First Financial Reporter.

Others think that with the development of artificial intelligence, there may not be so many structural biologists in the future. "Many researchers who do structural biology are actually more like technical service personnel. The more people there are, the more structures that can be analyzed. Therefore, in essence, a large part of their work depends on manpower. Now with AI, it is true that a large number of people who do structural biology have changed careers." A virus researcher told the First Financial News reporter.

However, for top structural biologists such as Shi Yigong, technology is only a powerful support for the "top brain", which can help them realize more ideas. "Every conscientious biologist should know how to make good use of the structural prediction of artificial intelligence." Shi Yigong said.

Professor Michael Levitt, winner of the Nobel Prize in Chemistry in 2013, told China Business News: "I think many structural biologists are not only doing structural research, but also doing a lot of work on protein function and drug research and development, just like Professor Yan Ning. Artificial intelligence only liberates a part of traditional manpower, but the progress of science still needs to rely on the smartest human brain. I’m afraid that artificial intelligence alone will not work. "

In recent years, a number of AI pharmaceutical companies have also been born in China. In this regard, Ewing Nan, academician of Chinese Academy of Sciences and president of Beijing Institute of Scientific Intelligence, pointed out to the First Financial Reporter: "The emergence of AI for Science research paradigm is an important historical opportunity for scientific and technological innovation, which not only expands the capability boundary of data-driven and physical model-driven models, but also is expected to promote the organic combination of the two, provide theoretical basis for further solving practical problems, and greatly narrow the distance between scientific research and practical application."