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The Champions League has reached the fourth round of the group stage, and there are only two rounds left before the end of the group stage. In fact, the lineup of the knockout stage has been basically determined, but the final two rounds still need to be finalized. Some of each group have been eliminated in advance, and some can only enter the Europa League. Let’s specifically analyze the possible lineup of the Champions League Top 16.

Group A, Naples 12 points, Liverpool 9 points, Ajax 3 points and Rangers 0 points.

The qualifying situation of this group is already very clear. Two teams, Naples and Liverpool, have already qualified ahead of schedule, while Ajax and Flowers can only be eliminated. However, there is a theoretical possibility. In the second round of the contest with Liverpool, Ajax needs to beat the opponent by a big score and beat the Wanderers in the last round. Moreover, only when Liverpool didn’t score a point in the last two rounds, Ajax can push Liverpool to qualify. However, this is a very small probability.

In addition, I thought that in Group A, Liverpool and Ajax were the top 16 of the Champions League, but I didn’t expect Naples to be the first in the group. This is the Champions League. All uncertainties can happen.

Group B, Bruges 10, Porto 6, Atletico 4, Leverkusen 3.

Two teams from five major leagues, Leverkusen and Atletico Madrid, didn’t expect to be ranked third and fourth after four rounds, and the situation was extremely slim. Who would have thought that Bruges, the big gift package, would have become the first in the group if the spot was signed at the beginning of the group stage.

In the next match, Bruges will face Porto and Leverkusen. In fact, the advantage of 10 points has already ensured Bruges to qualify for the Champions League knockout, while the remaining qualification will come from between Porto and Atletico Madrid. Considering the state of Atletico Madrid in the match, it is still optimistic that Porto and Bruges will qualify together.

Group C, Bayern scored 12 points, Inter Milan scored 7 points, Barcelona scored 4 points and Bilsen Victory Team scored 0 points.

The absolute death group really deserves its reputation. In fact, from the current points situation, the fierce competition between this group and Group B can’t be compared, because in terms of fame, Bayern Inter and Barcelona are both champion teams. However, from the perspective of strength, if Barcelona and Inter enter Group B, I’m afraid they can’t escape the fate of being eliminated.

The promotion situation of this group has been released, with Bayern Group first and Inter Group second. In the next two games, Inter will be able to qualify as long as they beat Bilsen Victory Team at home, and Barcelona will play the Europa League.

Group D, Tottenham 7 points, Marseille 6 points, Portugal Sports 6 points, Frankfurt 4 points.

This group is still inextricably linked. It seems that this season’s Champions League has a feeling of a hundred schools of thought contending. There are no strong teams, but neither is weak, and the promotion is ambiguous. In Group D, Tottenham still has the initiative to advance. In the last two rounds, they will face Marseille and Portugal Sports, while Marseille and Portugal Sports both have a match against Frankfurt, which gives them a better chance of scoring points. So, in this group, Tottenham and Marseille will advance.

Group E, Chelsea 7 points, Red Bull 6 points, Milan 4 points and Dynamo Zagreb 4 points.

After four rounds of matches, only Chelsea, the Premier League giant, has a bigger advantage in points in this group. No wonder, the remaining three teams are really average in strength. However, Chelsea didn’t qualify in advance in the fourth round, and some fans are still worried about their status in the knockout round. Now, they also try their best to make sure that they can appear in the group first, while Red Bull and Milan have a life-and-death fight in the final match. However, if Milan can beat Dynamo, they have basically determined their qualification.

Group F, Real Madrid 10 points, Leipzig 6 points, Donetsk 5 points and Celtic 1 point.

Donetsk and Celtic are frequent visitors to the Champions League group stage, and they also have the experience of advancing to the knockout stage. For these two teams, they should have been entangled with the strong teams in Group F, but after four rounds, the two teams performed poorly, so they could only be ranked at the bottom. Real Madrid and Leipzig have been able to qualify hand in hand in this group.

Group G, Manchester City 10 points, Dortmund 7 points, Seville 2 points, Copenhagen 2 points.

The qualifying situation of this group is already very obvious. Manchester City and Dortmund have qualified hand in hand, while Seville has never belonged to the Champions League. Even if it is strong, it can only be the overlord of the Europa League. This season, among the La Liga teams, only Real Madrid has stayed in the Champions League, while Barcelona and Seville, possibly Atletico Madrid, will probably meet in the Europa League.

Group H, Paris Saint-Germain 8 points, Benfica 8 points, Juventus 3 points, Maccabi Haifa 3 points.

This group, theoretically speaking, has a chance to qualify, but it has already played four rounds of league matches, and both Grand Bale and Benfica have an advantage of 8 points, while Juve and Maccabi Haifa have only 3 points. Considering the record of the previous four rounds and the points gained, it is unlikely that Juve and Maccabi Haifa want to surpass the top two in the last two rounds.

On the afternoon of November 2nd, Gaochun Institute of Artificial Intelligence held a lecture for undergraduate academic introductory tutors. Wen Jirong, Executive Dean of the College, Dou Zhicheng and Zhang Guofu, Vice Presidents, and Liu Dongfeng, Head of the Practice Section of the Academic Affairs Office, attended the meeting. Twenty-three undergraduate tutors of the College and all the undergraduates of Class 2021 attended the meeting. Dou Zhicheng presided over the meeting.

Liu Dongfeng said that the academic introductory tutor system of Gaochun Institute of Artificial Intelligence is an effective way to help students master professional knowledge, and it also helps students to enhance their learning skills and improve themselves quickly. He hopes that students can explore the academic field, learn professional skills and feel the charm of scientific research under the guidance of your tutors.

Wen Jirong welcomes students to join Gao Xuan Institute of Artificial Intelligence. He said that the college attached importance to undergraduate training at the beginning of its establishment. The academic introductory tutor system aims to broaden students’ horizons, cultivate students’ innovative spirit and practical ability, lead students into academic research ahead of time, and help everyone to clarify the future research direction, integrate what they have learned into practice, brave the no-man’s land of cutting-edge research of artificial intelligence, and grow into innovative talents in scientific research and exploration.

Dou Zhicheng explained to the students the implementation method of the academic introductory tutor system, explained the tutor allocation rules, and clarified the tutor duties and job requirements. He said that academic introductory tutors should provide scientific research guidance for undergraduates who have spare capacity in learning on the premise of not having a great impact on students’ learning. One of the main points of the academic introductory tutor system is to cultivate students’ interest in scientific research. He suggested that students should balance scientific research and professional study, broaden their horizons in practice, and realize the comprehensive and coordinated development of knowledge, ability and quality.

Lin Ning, Wang Zihan and Guo Geyang, undergraduates of Grade 2020, shared their scientific research experiences and introduced the scientific research projects they participated in and their achievements in the projects. They also introduced the specific situation of daily scientific research activities, and shared their experience of participating in scientific research activities with the students.

In order to help each student choose a tutor more clearly, 23 full-time teachers of the college introduced their own research direction, teaching characteristics and student training.

The academic tutor system is an important supporting measure for Gaochun Institute of Artificial Intelligence to establish the student-oriented education and teaching concept and deepen the teaching reform, and it is also an effective way to strengthen the communication between teachers and students, promote teaching and learning, and guide and motivate students to innovate. The convening of this academic introductory tutor briefing session has effectively enhanced the understanding of the college for the undergraduates of Grade 2021, and also created beneficial conditions for the students’ early research and exploration.

Python digital image processing

—edited by Zhang Yunchu—

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This book is guided by thoroughly explaining concepts, attaching importance to methods, highlighting applications, and being easy to teach and learn. It describes technical terms related to digital image processing from semantic and mathematical perspectives, analyzes the mechanism of classical algorithms, and gives an example program.

Python was founded in the early 1990s by Guido van Rossum, a Dutchman. Because it is concise, easy to read and extensible, and has a rich ecosystem of scientific computing libraries, Python has become an important programming language relied on by hot technologies such as artificial intelligence, machine learning, neural networks, deep learning, Internet of Things, robotics, etc. OpenCV is one of the best open source computer vision library at present, providing more than 2,500 optimization algorithms, including the latest computer vision algorithm, supporting machine learning and deep learning. It is licensed by BSD and can be used for academic and commercial purposes free of charge. OpenCV is written in optimized C/C++ and provides Python wrapper for API functions, which can be used in Python programs. This book is based on Python language, using Python extension packages such as NumPy, SciPy, OpenCV-Python, Scikitimage, Pillow, Matplotlib, etc., and writes a large number of sample programs, and gives a detailed explanation of some called functions.

Readers can input and run the sample programs of each chapter under the Python interactive interpreter, or open the executable notepad file of the sample program Jupyter Notebook attached to this book, and run the sample code section by section, or they can use various Python IDEs (such as Pycharm) to create, save and run Python files. This book pays equal attention to theory and practice, and each chapter is equipped with exercises and computer exercises.

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Executive summary

This book systematically introduces the basic theory, classical algorithm and Python implementation of digital image processing. The book is divided into 10 chapters, including image data representation and basic operation, gray scale transformation, spatial filtering, frequency domain filtering, color image processing, image geometric transformation, image restoration, morphological image processing, edge detection, image segmentation, etc. Each chapter is equipped with exercises and computer exercises, and a JupyterNotebook executable notepad file is provided with PowerPoint courseware and sample programs of each chapter.

"

Reader’s target

This book can be used as a textbook for digital image processing courses of artificial intelligence, electronic information engineering, communication engineering, computer science and technology, photoelectric information science and engineering, information engineering, automation, remote sensing science and technology, etc. in colleges and universities, and can also be used as a reference for relevant professional researchers and engineers.

"

Introduction to the author

Zhang

transport

clear/a surname

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Table of Contents

Try reading

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Please scan the QR code below for more trial reading content ↓

Book subscription information

Title: Python Digital Image Processing

ISBN：978-7-112-26448-3

ISBN: 37985

Pricing: 49 yuan

Listing time: May 2022

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With the development of artificial technology, the protection of intellectual property has gradually extended from the traditional protection field to the field of intellectual property protection. Artificial intelligence technology can be applied to the research and development of artificial intelligence technology and intellectual property protection. In the future, artificial intelligence will be applied to the fields of intellectual property creation, protection, application and innovation, which will have a positive impact on society, economy, culture and politics.

Intellectual property protection is an important guarantee for the healthy development of the global economy. Internet-based information technology and Internet economy have become an important force to promote global industrial upgrading and industrial structure adjustment. While promoting economic development, they also provide important support for the healthy development of China’s economy. However, the development of intellectual property protection in China is still in its infancy. There are still many problems and defects in this field of intelligence.

For example, China is still at an early stage in the field of online advertising, and its technical level is not high, so users’ interpretation of advertising content is misleading. The legal protection of civil rights of intellectual property rights such as copyright of written works and the right of information network transmission in China is not perfect enough; China has not yet established a perfect intellectual copyright protection system. These all restrict the development and application of intelligent patent technology. In addition, there are still some problems such as backward intellectual property protection concept, imperfect system and so on. To solve the above problems, artificial intelligence can be applied to software copyright design, inventions, copyright registration, trademark registration and other fields in the future.

Intellectual property protection is an indispensable part of China’s economic development and an important foundation for China’s scientific and technological innovation and industrial development. China is the world’s largest trader of goods and the world’s second largest economy, which plays a pivotal role in promoting international cooperation. In the future intellectual property protection, the ability to use artificial intelligence to solve technical problems can meet the needs of national and social governance and consumer demand. And innovative research and development in the field of artificial intelligence will provide new choices and new impetus for intellectual property protection in China. The era of artificial intelligence is driven by the innovation of information economy, which will provide new kinetic energy for intellectual property protection.

On the morning of November 4th, 2022 World Computing Congress opened in Changsha. At the opening ceremony, two rounds of signing ceremony were held, namely, the signing of industrial projects and the signing of strategic cooperation between Xiangjiang Laboratory and the co-construction unit.

Among them, the contracted projects of industrial projects include eight projects: ultra-precision digital high-end manufacturing industrial base project, China Unicom Zhongnan Research Institute project, Changsha Hui Ke intelligent manufacturing industrial complex project, data center regional headquarters project, electronic component supply chain hub and central intelligent hardware innovation center project, intelligent terminal and precision supporting production line construction project, big data center construction project and advanced energy storage material production line construction project, with an investment of 48.94 billion yuan.

Xiangjiang Laboratory, as a major innovation platform in Hunan Province, has seized the commanding heights of global advanced computing and artificial intelligence science and technology innovation strategy around the major national strategic needs, carried out independent innovation from the core elements of artificial intelligence, such as computing power, algorithm, data and network, based in Hunan and radiating the whole country, and jointly promoted key core technology research with industry leaders to build the laboratory into a domestic leading and world-class scientific and technological innovation highland in the field of advanced computing and artificial intelligence.

本次湘江实验室与15家共建单位战略合作项目签约，标志着湘江实验室的建设迈上新的台阶，各方将通力合作、共谋创新，携手加快实现先进计算与人工智能领域高水平科技自立自强，助力湖南乃至全国做强做优做大数字经济。

近年来，湖南省深入贯彻习近平总书记关于加快数字经济发展和对湖南工作的重要指示批示精神，主动服务国家战略，在工信部等部委大力支持下，充分发挥“一带一部”区位优势，牢牢抓住企业、产业、产业链、产业生态“四个着力点”，将持续自主创新的技术优势转化为产业胜势，借助世界计算大会平台链接产业资源，积极布局先进计算“新赛道”，推进建设世界计算·长沙智谷、国家级互联网骨干直联点等100余个重点项目，投资超过1500亿元，初步培育了国家级自主安全计算系统产业集群，为打造国际领先的算法创新中心和全国先进绿色算力枢纽、计算产业重要集聚区和应用示范区，加快发展电子信息等“新三样”产业奠定了坚实基础。

潇湘晨报记者申潇轶

Recently, the research team of Professor Liu Jinxing from the School of Computer Science of Qufu Normal University has made important progress in the field of artificial intelligence. The related research results are "n cplp: a novel approach for predicting microscopic-associated diseases with network consistency projection and label propagation", "predicting mirna-disease associations through deep auto encoder with multiple kernel learning" and "a new graph auto encoder-based consensus-guided model fo" Scrna-seq cell type detection ",published in IEEE transactions on cybernetics (IEEE TCYB) and IEEE transactions on neural networks and learning systems (IEEE TN NLS).Qufu Normal University is the first signatory of the paper, and Professor Liu Jinxing is the correspondent of the paper.

IEEE TCYB期刊是人工智能领域最具影响力的国际学术刊物之一，SCI一区，影响因子19.118，在Automation & Control Systems类别排序1/65，Computer Science, Cybernetics类别排序1/24。IEEE TNNLS期刊由美国电气和电子工程师协会创办，是人工智能顶级期刊之一，SCI一区，影响因子14.255，在Computer Science, Hardware&Architecture类别排序1/54。

A large number of clinical studies have confirmed that there is a close relationship between microorganisms and diseases. Therefore, it is particularly important to infer the relationship between potential microorganisms and diseases. Professor Liu Jinxing’s research team proposed a new method based on network consistency projection and label propagation to predict the relationship between microorganisms and diseases. Methods The medical thesaurus and 16S rRNA gene sequence were used to calculate the semantic similarity of diseases and the functional similarity of microorganisms, and the network projection scores of microbial space and disease space were obtained by increasing the network consistency projection. Finally, the disease-related microorganisms were accurately predicted by the tag propagation method.

The association between miRNA and diseases is an important part of preventing, diagnosing and treating complex diseases. Professor Liu Jinxing’s research team proposed a deep learning method to predict miRNA- disease association by using a deep automatic encoder with multi-core learning. Firstly, the multi-core learning method was applied to construct miRNA similarity network and disease similarity network respectively, then the integrated miRNA feature representation and disease feature representation were input into the deep automatic encoder, and finally the new miRNA- disease association was predicted by the reconstruction error method.

In order to make effective use of single cell data and better explore the heterogeneity among cells, Professor Liu Jinxing’s research team proposed a consensus guidance model based on graph automatic encoder. The model generates feature matrix through feature learning, and carries out similarity learning based on distance fusion method. The model can accurately identify key features and effectively save the internal structure of data, which improves the accuracy of cell type identification.

Professor Liu Jinxing is the head of the artificial intelligence research team of Computer College of Qufu Normal University. Focusing on the national strategy of "Healthy China" and the big scientific plan of "Precision Medicine", the team actively connects the two industries of "new generation information technology" and "medical care and health care" of the top ten industries in Shandong Province, aiming at the theory, algorithm and software related to the intelligent calculation of health big data, especially the disease genetics and clinical big data. The innovation team has undertaken 10 national natural science funds, with accumulated horizontal and vertical funds of more than 10 million yuan, and published more than 150 papers in high-level journals and academic conferences at home and abroad, including more than 50 SCI TOP papers.

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There is no doubt that smart factories are the core of the future manufacturing industry. But what exactly is a smart factory, what technology makes it work, and what makes it "smart"?

In short, smart factories are manufacturing facilities that rely heavily on digital technology to improve efficiency and productivity. This means integrating 3D printers, collaborative robots, 5G, artificial intelligence, SERP, cloud computing, edge computing and so on into the manufacturing process.

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With so many cutting-edge technologies, smart factories can run with speed, accuracy and flexibility that traditional factories can’t match. As the world increasingly relies on digital manufacturing processes, smart factories will only become more common–and more important.

Of course, there is no "magic bullet" when it comes to creating smart factories. On the contrary, numerous emerging technologies have gathered together, bringing the manufacturing industry into a new era. Here, we focus on some key technologies that are indispensable to realize this vision.

Understand the technologies used in smart factories.

3D printing

A smart factory is incomplete without a few 3D printers. These multifunctional machines can use digital design as a guide to manufacture parts and products from scratch. As they can produce items on demand, they are very suitable for prototyping, small batch manufacturing and even customized orders.

3D printing or additive manufacturing gives the technology an appropriate name and is creating a brand-new world for design engineers. It is very suitable for quickly creating functional prototypes and highly detailed end-use parts, and it opens the door to complex geometric structures that cannot be realized by any other means. Far from being a one-size-fits-all technology, 3D printing uses a variety of processes, technologies and materials, including stereo lithography, selective laser sintering, multi-jet fusion, multi-jet, fused deposition molding (FDM), vacuum casting and direct metal laser sintering, all of which can be used to quickly build parts within the scope of plastics and metals.

3D printing can help reshape the future of manufacturing and design. In the modern world, customers demand a higher level of product personalization and customization. Therefore, 3D printing can become a differentiation factor for manufacturers to plan their supply chain strategies. If you can quickly print the exact parts you need on demand, then why do you need to store a large number of complete parts and assemblies, which will reduce the demand for spare parts?

Cooperative robot

Cooperative robot or cooperative robot is another key component of intelligent factory. These physical multifunctional machines are designed to work with humans, making them ideal for tasks such as packaging and assembly. And because of its user-friendly interface, cooperative robots can be easily trained to perform new tasks as required.

Unlike traditional robots, collaborative robots can be deployed in a few weeks, so they can save money quickly. For manufacturers, other advantages of collaborative robots are that they are easy to set up and program, and flexible enough to move around the factory.

Collaborative robots have the potential to take over 3D jobs-dirty, dangerous and boring-many of which are still done by humans. By cooperating with collaborative robots, employees can focus their time on more fulfilling roles and reduce the time spent on ordinary roles, thus improving their overall happiness. This includes getting rid of night shift, which, as we all know, will have adverse effects on workers’ health.

5G

5G is the next generation wireless technology, which will completely change the manufacturing industry. This is because smart factories rely heavily on data, and 5G will provide the high-speed, low-latency connection needed to quickly and efficiently transmit large amounts of data.

5G can provide solutions to the biggest challenges of manufacturing industry, from achieving net zero and attracting future talents to maximizing uptime and accelerating product development. Next-generation mobile connectivity provides almost unlimited capabilities, and it is possible to completely change every stage of manufacturing operations. With so many potential applications, manufacturing is one of the industries that is expected to benefit most from the arrival of 5G.

It is about ten times faster than 5G and 4G, and the peak speed can reach more than 1gbps (gigabits per second). Moreover, unlike previous generations, 5G is not just an upgraded communication network. It was built from the ground up to provide a better user experience, support new deployment models and provide new services.

artificial intelligence

Artificial intelligence (AI) is another area where smart factories lead the trend. Artificial intelligence can be used for tasks such as predictive maintenance, quality control and material handling. With the continuous development of artificial intelligence technology, smart factories will only become more efficient and effective.

Artificial intelligence will see the combination of data collected from sensors, machines and people, and then apply it to algorithms aimed at optimizing operations or realizing lights-out manufacturing. Although we are still a long way from realizing this scenario, in many other use cases, manufacturers are rapidly adopting artificial intelligence and spanning the value chain of the whole industry. Use cases revolve around workplace safety, machine/building management, machine vision and network security.

Combining AI/ML with other technologies such as sensors, machines and human input will significantly improve operations and may lead to new forms of industry innovation and productivity.

Smart factory workshops are usually equipped with SERP system, which stands for "self-repair and error prevention". These systems use sensors to detect errors in real time, and then take corrective measures to prevent errors from happening again. This helps to reduce waste, improve quality and keep the production line running smoothly.

Enterprise resource planning (ERP)

In industries such as manufacturing where efficiency is king, ERP can change the rules of the game. ERP behavior is a method to centrally manage all aspects of facility operations and processes, and allows unprecedented visibility, coordination and management in different processes that make up manufacturing business-ultimately improving operational efficiency.

Considering the numerous processes that must happen every day to keep the facility running, ERP and manufacturing are natural partners. ERP can not only help inventory management, supply chain, maintenance and quality assurance, but also make these processes communicate with each other.

cloud computing

Cloud computing is a must for smart factories. This is because cloud-based systems provide the scalability and flexibility that smart factories need to keep agile. In addition, they can help reduce costs by eliminating the need for on-site hardware and software.

By providing computing services such as server, storage, database, network, software, analysis and intelligence on the Internet (or cloud), manufacturers can realize faster innovation, flexible resources and economies of scale. Cloud services usually adopt a pay-per-use model to help companies reduce operating costs, run infrastructure more efficiently, and expand as business needs change.

Besides cost and speed, other advantages of cloud services include the ability to deliver the right amount of IT resources from the right geographical location when needed; No need for complex on-site infrastructure, such as "shelving and stacking", hardware setup, software patching and other time-consuming IT management chores; Of course, improve reliability and security. In addition, many cloud computing services run on the global network of secure data centers, which are regularly upgraded to the latest generation of fast and efficient computing hardware.

Edge calculation

Edge computing is another important part of the smart factory problem. Edge computing systems are designed to process data locally rather than send it to the cloud, thus bringing enterprise applications closer to data sources such as IoT devices or local edge servers. This helps to shorten response time and reduce latency, which is essential for manufacturing applications. This approach to data from the source can bring powerful business advantages, such as faster insight, faster response time and better bandwidth availability.

Fundamentally, the data is processed and analyzed closer to the creation point. Edge computing can help unlock the potential of large amounts of data created by more powerful connected devices. This enhanced analytical capability in edge devices can drive innovation, improve quality and value, and provide near real-time insight and predictive analysis.

Digital twinning

VR Digital Twinning Demonstrated in AMRC Digital Operating Room

Digital twinning is essentially an auxiliary system of production facilities, which uses integrated simulation model to quickly find solutions when problems occur.

These simulations enable operators to get a glimpse of the core of physical assets, to determine the ideal operation workflow, and to quickly find clear options by using the current data flow to help system operators make decisions; There is no time and cost involved in testing theories in the real world.

These highly complex virtual models act as exact counterparts (or twins) of physical "things". Sensors connected to physical assets collect data that can be mapped to virtual models. Operators who view digital twins can see important information about the performance of physical things in the real world.

Digital twinning is an important tool, which can help engineers and operators understand not only the performance of products, but also their future performance. By analyzing the data from the connected sensors and combining with other information sources, we can make an accurate prediction.

Conclusion:

As you can see, many things need to be done to build a smart factory. But with the help of these cutting-edge technologies, intelligent factories can run with speed, accuracy and flexibility that traditional factories can’t match. As the world increasingly relies on digital manufacturing processes, smart factories will only become more common–and more important.

1. Announcement of public recruitment staff of Shanghai Fudan University Affiliated Middle School

2. Shanghai Urban Construction Vocational College in the first half of 2022 Public Recruitment Announcement

3. Recruitment announcement of the staff of the Ninth People’s Hospital affiliated to Shanghai Jiaotong University School of Medicine

4. Public Recruitment Announcement of Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine

5. Announcement of recruitment staff of Shanghai Children’s Medical Center (National Children’s Medical Center) affiliated to Shanghai Jiaotong University School of Medicine

6. Announcement of public recruitment staff of Shanghai Normal University

7. Shanghai Workers’ Nursing Home (Shanghai Employee Rehabilitation Hospital) 2022 Public Recruitment Announcement

8. Public recruitment announcement of the staff of Shanghai Honorary Military Sanarts

9. Public Recruitment Announcement on Public Recruitment of Shanghai Commercial School Staff

10. Shanghai Medical Device Cosmetics Review and Review and Review Center 2022 Public Recruitment Staff Announcement

11. The Shanghai Acupuncture and Meridian Research Institute publicly recruited staff announcement

12. Public recruitment announcement of the staff of the Shanghai Drug Review and Inspection Center

Announcement

Recruitment positions and qualifications

10 teachers openly to the society: Chinese, mathematics, English, physics, chemistry, biology, history, sports

registration time

From now until March 31, 2022

Registration website

Shanghai Urban Construction Vocational College in the first half of 2022 public recruitment announcements

Recruitment positions and qualifications

There are 32 special positions and 1 person in managing posts.

registration time

Valid until June 30, 2022

Registration website

Announcement of Recruitment Announcement on the Ninth People’s Hospital of Shanghai Jiaotong University School of Medicine

Recruitment positions and qualifications

1. 66 doctors: doctoral degree, have a doctoral degree, have a doctor’s qualification certificate, strong work ability, good communication skills, team collaboration spirit, and strong scientific research ability.

2. 6 scientific research posts: doctoral degree, strong scientific research ability, strong work responsibility, and teamwork.

3. 6 people in other specialties: doctoral degree, strong work responsibility.

registration time

Just recruit

Registration website

• Shanghai Institution Shanghai Shanghai Jiaotong University School of Medicine College Ruijin Hospital staff public recruitment announcement

Recruitment positions and qualifications

registration time

From now until March 21, 2022

Registration website

Announcement of recruitment staff of Shanghai Children’s Medical Center (National Children’s Medical Center) affiliated to Shanghai Jiaotong University School of Medicine

Recruitment positions and qualifications

1. Physician position, 42 positions;

2. Nursing positions, 30 positions;

3. Medical skills, 8 positions;

4. Research positions, 10 positions;

5. Management positions, 10 positions;

registration time

The deadline is March 17, 2022

Registration website

Announcement of public recruitment staff in Shanghai Normal University

Recruitment positions and qualifications

Public recruitment of a group of teaching aids and managers to the society openly

registration time

The deadline is March 18, 2022

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Shanghai Workers’ Sanatorium (Shanghai Employee Rehabilitation Hospital) 2022 Public Recruitment Announcement

Recruitment positions and qualifications

Publicly recruit professional and technical positions for the society, with 4 positions.

registration time

From now until March 31, 2022

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Shanghai Honorary Military Sanatorium Staff Public Recruitment Announcement

Recruitment positions and qualifications

Clinical doctors, 1 job; nurse, 1 job.

registration time

From the date of the announcement to August 31, 2022

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Shanghai Commercial School Staff Public Recruitment Announcement

Recruitment positions and qualifications

registration time

From now until March 29, 2022

Registration website

Shanghai Public Institutions Shanghai Shanghai Medical Devices Cosmetics Review and Inspection Center announced in 2022 public recruitment staff announcement

Recruitment positions and qualifications

1. Cosmetics inspector, 3 positions.

2. Medical Device Trial Council Inspector (source category), with 3 positions.

3. Medical Device Trial Inspector (passive category), 1 job.

registration time

From now until March 28, 2022

Registration website

Shanghai Acupuncture and Meridian Institute publicly recruited staff announcement

Recruitment positions and qualifications

The 6 staff members of the drug inspection/reviewer are now publicly recruited to the society, and the announcement is now announced:

registration time

From now until March 28, 2022

Registration website

Public Recruitment Announcement of Public Recruitment of Shanghai Pharmaceutical Review and Inspection Center

Recruitment positions and qualifications

The 6 staff members of the drug inspection/reviewer are now publicly recruited to the society, and the announcement is now announced:

registration time

From now until March 28, 2022

Registration website

Explanation: This article is recruited by Shrimp, please do not reprint without permission!

及 Source: Ministry of Human Resources and Social Affairs and Human Resources and Social Affairs Bureau, official website, and shrimp recruitment

，The classmates who have succeeded in ashore, welcome to leave a message to share experience!

， I am a small shrimp, focusing on public institutions, state -owned enterprises, finance and colleges and universities. I will reply to the number "01" in private messages and send you a hundred sets of super practical job search templates!

Beijing Institutions Recruitment is fully included! (March 22nd Week 2)

The Yangtze River Delta public institution recruits a selection set! (March 22nd Week 2)

Heavy! Guangdong Zhejiang and other places offer more than 20,000 careers!

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#Fulong Ski Resort

#Ski

Hello everyone, I am Chris, the first person every day. Today I will introduce Fulong Ski Resort. Falong Ski Resort is a place where handsome guys and beautiful women gathered. Because the snow trail is relatively flat, it is suitable for novice beginners ski resorts.

It is also because of the characteristics of the snow road. There are many top Pinghua players in Fulong Ski Resort practicing here. In addition, the park design here is very good. Many national team members also choose to train in Fulong. In addition, the L1 cable car has been opened in the night market since this year, with a total length of 1.6 kilometers to meet the effects of everyone shooting videos, so many young people here ski here.

The current epidemic prevention policy is that you enter the snow field. There is a nucleic acid testing station at the door of the snow field. You can immediately enter the ski resort to ski. This time.

Fulong is one of the favorite snow venues of Pinghua’s lovers, and there are also a first -class park. The world’s largest ski hall. The top configuration is naturally the first choice for family skiing!

The urban area is very close to the snow farm. It is 10 minutes away from Chongli County. It takes 3 hours to depart from Beijing. The snow farm provides a free parking lot for two floors, about 700 parking spaces. If it wasn’t for self -driving, there was a bus leading to Fulong Ski Resort for 15 minutes. High-speed rail: Beijing North-Prince City Station, 1 hour of distance, free shuttle bus arrives at the ski resort.

The most convenient thing in the snow farm is the holiday vacation hotel. It is currently the five -star hotel closest to the ski resort. It takes about 3 minutes to walk next to the skiing hall. And the hotel’s breakfast is super rich, in line with my appetite. I like the sweet beancurd here very much. I suggest you try it.

There are 42 new, middle and senior snow roads, and the primary snow trails are suitable for novices. The middle and senior snow trails must have a certain basis for taxi. Novice has professional coaches to try.

The entire park is divided into advanced challenge zones, intermediate challenge and junior areas, and equipped with internal independent regions circulating magic carpets. There are 8 magic carpets in the snow field, 6 high -speed cable cars, mixed configurations of cranes and hanging chairs.

Fulong is the only ski resort to play the night scene. The night scene is open time: 17: 30 ~ 21: 30. The night scene is open for 5 days, 2 junior roads, 2 intermediate lanes, and 1 senior lane. Female friends can enjoy the Fulong Night Settle for free every Tuesday.

There are many shelves that can be stored in the snow field indoor and outward. The consultation desk also provides free anti -freezing stickers, which is very intimate for the snow friends.

There is a rest area on the right side of the snow farm hall. Although I do not smoke, the rest area is very reasonable with a smoking room.

The club exclusive area has a 4 -story high -level design. The full -floor glass window can directly see the snow scene, and the vision is super good. The functional areas of the ski hall are: the first floor of the skiing function hall, the second floor is a ski sports product store, the third -floor food, and the fourth -layer children’s entertainment area.

Fulong Food

I really have to talk about eating food. This time I became a experience officer and experienced a great diet experience in Fulong. Everything in the food: The three -story food square of the ski resort, dozens of foods, northwest of Sichuan, Hunan and Guangdong, and Chongli local, Japan and South Korea Southeast Asian cuisine.

Owner cafeteria: The first floor of the skiing hall, similar to the self -service meal restaurant of IKEA, fruits, desserts, staple foods, stir -fried food, and the price is very suitable. If you are a big stomach king, you must try meals!

Lanshan Coffee is located at the top of the ski resort L1, providing mountain coffee and high -end custom catering. The signature meal is Italian classic dishes, as well as various wines, red wine, beer drinks and coffee at home and abroad. The meal is sophisticated to meet the dietary requirements of snow friends around the world. The environment is also very elegant, a good place to bring girlfriends.

I will wait for a whole snow season in Fulong, and I really don’t want to leave. Then the strategy is here. I am Chris, the first person every day, welcome you to come to Fulong Ski Field!