Lei Jun personally experienced Xiaomi SU7! Watch unlock, auto-flip dashboard cool

Fast technology January 19 news, a few days ago, Xiaomi CEO Lei Jun released a video, personally taking everyone to immerse themselves in Xiaomi’s first car Xiaomi SU7.

As you can see,Lei Jun unlocked the vehicle through Xiaomi Watch, and at the same time, the tail wing also rose synchronously, which was very handsome.

After Lei Jun enters Xiaomi SU7 and starts, the main driver’s seat will be automatically adjusted to the memory position. The advantage of this function is that it is convenient to get on and off.

Xiaomi SU7 is also equipped with a dashboard that supports automatic flipping.Support to display total mileage, gear, driving mode and total energy consumption.

Finally, Lei Jun also demonstrated the head-up display function in the car, which can display information such as remaining power, speed and navigation.

The watch is unlocked, the tail wing is automatically raised, the main driver is automatically adjusted, and the dashboard is automatically turned over. It must be said that these processes in one go have already filled the sense of ceremony before Xiaomi SU7 runs.

It is worth mentioning that some netizens sincerely asked Lei Jun in the comment area: Will there be Redmi cars? ".

In this regard, Lei Jun replied: At present, we are still focusing on Xiaomi Automobile. "

Lei Jun personally experienced Xiaomi SU7! Watch unlock, auto-flip dashboard cool

It is understood that the first models of Xiaomi SU7 will be equipped with Xiaomi super motors V6 and V6s, with a speed of up to 21,000 rpm, and adopt a new super 800V silicon carbide high-voltage platform developed by Xiaomi, with a maximum voltage of up to 871V V.

(reporting)

Weilai’s senior management team joined another general: once worked in Tucki, taking stock of the technical talents Weilai dug up from Huawei, NVIDIA and Xilinx.

Leifeng. com reported on March 30th that Xin Huang, the former director of Xpeng Motors Autopilot Products, had joined Weilai as vice president, reporting directly to Li Bin, founder, chairman and CEO of Weilai.

In this regard, Xin Huang in the circle of friends suspected response: "false". It is understood that Xin Huang did join Weilai last year, but the position is senior director, not vice president.

During his tenure as Director of Autopilot Products in Xpeng Motors, Xin Huang promoted the implementation of NGP and memory parking projects in Tucki. In addition, Li Bin attaches great importance to the talents of autonomous driving technology, so Xin Huang’s level in Weilai is 6, after which his level in Tucki was 5. In this regard, Wei Lai also did not comment.

In July last year, it was reported by the media that Xin Huang had sent out six words in his personal circle of friends-"Thanksgiving, Goodbye and Best wishes", and it was suspected that he had left Xpeng Motors at that time.

Among many new car-making forces, Weilai has attracted much attention from the outside world since its establishment. A big reason is that its founders, Li Bin and Li Xiang, were once the bosses of the two largest vertical websites of automobiles in China.

In 2014, Li Binlian, the founder of Easy Car, together with car home Li Xiang, JD.COM and Tencent, invested and created a financing of 1 billion US dollars, and formally established Weilai, with the intention of building Tesla in China.

In the two years after its establishment, Weilai successively recruited a large number of senior executives from traditional car companies, who became the core entrepreneurs of Weilai Company in the early days, enabling Weilai to land in the capital market in just four years and complete the ringing of the bell on the New York Stock Exchange. These people include:

Qin Lihong, co-founder and legal representative of Weilai Automobile

Qin Lihong graduated from Peking University University of International Relations in 1999 with a master’s degree in law. In 2001, he obtained a master’s degree in public policy from Kennedy School of Government of Harvard University. In 2005, he joined Anhui Chery Automobile Sales Co., Ltd. as deputy general manager.

Zheng Xiancong, co-founder and executive vice president of Weilai Company.

In 2015, he officially joined Weilai, and together with Li Bin, he built the core team of the company, making contributions to the company in supply chain, industrialization and Weilai-driven technology.

Previously, he served as vice president of Fiat China Global Purchasing Center and general manager of gac fiat, and earlier worked for Ford, with nearly 40 years of experience in the automotive industry.

In August 2019, Zheng Xiancong announced his retirement. After retirement, he will continue to serve as the chairman of Weilai Drive Technology.

Martin Leach, former president and CEO of Weilai Automobile

Martin Leach has been working for Ford motor company for 24 years since 1979; In 2004, he served as CEO of Maserati; In 2006, he served as the president of GAZ Group, a Russian automobile company, in the UK. Since 2008, he has served as the vice chairman of Volvo Construction Equipment Group. In 2015, he joined NEXTEV Weilai as the president of the company.

He is not only a professional manager, but also an avid racing enthusiast. He became a kart driver when he was only 11 years old, and became a professional player at the age of 14. He has made great achievements in the field of karting and racing, and won several championship prizes in Europe.

In 2016, Martin Leach died unfortunately due to illness, at the age of 59.

Huang Chendong, Senior Vice President of Weilaiyuan

Huang Chendong is a Ph.D. in mechanical engineering from the University of Michigan, USA. He used to be the deputy general manager of the new energy division of SAIC. In March 2015, Huang Chendong joined Weilai, and was responsible for the core business of Weilai vehicle development, independent intelligent driving technology research and development, and electric power engineering.

In October 2019, Huang Chendong was promoted to senior vice president of Weilai, reporting to Li Bin. In June 2020, Wei Laiguan announced the news of Huang Chendong’s departure.

Padmasree Warrior, Chief Development Officer of Weilai and CEO of North American Company.

Joined Weilai in 2015, and together with Li Bin, promoted Weilai Automobile to become a competitive member of the global electric vehicle manufacturers. Before joining Weilai Automobile, Warrior was the chief technology officer and strategy officer of Cisco, and also served as the chief technology officer of Motorola. In December 2018, it officially announced its departure from Weilai.

In addition, Weilai Automobile also recruited Lu Xiaoming, the former chairman of Montblanc in China, to take charge of Weilai’s user experience. Zhong Wan Li, executive vice president of Jiangling, is responsible for the specific manufacturing. Ganesh V. Lyer, former chief information officer of Tesla, is the leader of Tesla’s ERP system and is responsible for the operation.

Ping Jiang, former vice president of Guangzhou Automobile Group, Zhou Xin, former executive director of automobile procurement and human resources and government affairs of Qoros, and Mao Jie, former executive director of automobile assembly of Qoros, and other senior executives are responsible for R&D, cost and manufacturing.

It can be said that at the beginning of its establishment, Weilai Automobile began to recruit a large number of senior executives, covering all aspects of automobile manufacturing.

In addition to founding the core figures in the early days, in recent years, Weilai has successively recruited many technical talents from well-known enterprises such as Huawei, NVIDIA, Wal-Mart, Xilinx and Huami.

Ren Shaoqing, co-founder and R&D director of Momenta, an autonomous driving startup.

In August 2020, Ren Shaoqing joined Weilai as assistant vice president, reporting directly to Weilai CEO Li Bin.

Ren Shaoqing graduated from the doctoral program jointly trained by the University of Science and Technology of China and Microsoft Asia Research Institute, and participated in proposing an efficient framework Faster RCNN and an image recognition algorithm ResNet for object detection.

The latter related papers won the Best Paper Award of CVPR, the top conference in the field of computer vision, in 2016.

In 2019, Momenta published an article saying that Ren Shaoqing ranked first in the world in adding academic citations to Google in autonomous driving, and accumulated academic citations ranked second in the world.

In addition, Ren Shaoqing was selected into the list of outstanding young people under the age of 30 in Forbes Asia in 2018.

Zhang Lei, Chief Architect of Yuan Hua Mi Technology

In August 2019, Zhang Lei joined Weilai Automobile as the vice president of software development, succeeding Dr. Li Zhuang.

Judging from the public information, Zhang Lei is a veteran of the automotive technology industry. In 2016, he joined the Huami Technology Silicon Valley team as the chief architect. Before joining Huami, Zhang Lei participated in the development of Android Auto, a car project.

After joining Weilai, Zhang Lei was mainly responsible for Weilai CDC (Car Digital Cockpit) business.

Hu Chengchen, former director of Xilinx Asia-Pacific Laboratory

According to public information, Hu Chengchen received his Ph.D. in computer science and technology in Tsinghua University in 2008, and then taught in Xi ‘an Jiaotong University for a long time. At the age of 29, he became an associate professor at the School of Telecommunications of Xi ‘an Jiaotong University, and later became a professor, and served as the head of the computer department of Xi ‘an Jiaotong University.

Its main research direction is data center, network big data and so on.

Later, in 2017, he was transferred from academia to industry, and served as the director /CTO of Xilinx Asia Pacific Laboratory, with rich experience in chip front-end design.

In October 2021, Hu Chengchen joined Weilai Automobile as the chief expert & assistant vice president and the head of the technical planning department.

Yin Shuijun, former president of Meitu mobile phone

(The picture on the right shows Yin Shuijun)

In February of this year, it was reported that Yin Shuijun, the former president of Meitu Mobile, joined Weilai to take the lead in the mobile phone business.

She Xiaoli, former chief functional safety expert of Huawei BU.

She Xiaoli graduated from Tsinghua University, worked as a functional safety expert in Baidu Autopilot Division for one year, and then worked as the chief functional safety expert and the chief big data application expert in Huawei.

According to public information, She Xiaoli joined Baidu (BIDU) in 2015 after receiving her Ph.D. in Tsinghua as a functional safety expert, and introduced the concept of functional safety into Baidu’s Autopilot Division.

A year later, he joined Huawei as the chief functional safety expert and the chief big data application expert, leading the design of vehicle-side data collection, cloud processing architecture and cloud value-added applications suitable for the characteristics of autonomous driving data.

In November 2021, She Xiaoli joined Weilai Automobile as an internal expert in algorithm research.

Zhang Xiaohong, former director of Huawei BU intelligent driving product project group.

Zhang Xiaohong graduated from Shanghai Jiaotong University with a major in mechanical engineering, and has served as a senior software development engineer of Shanghai Huawei Technologies Co., Ltd. and an OSS product director of Dingqiao Communication Technology Co., Ltd.

In April 2021, he joined Weilai as a senior product manager.

Steve Xie, former head of NVIDIA autopilot simulation.

On January 11th, 2022, Steve Xie, the former head of NVIDIA Autopilot Simulation, said that he had joined Weilai Automobile as the head and senior director of Autopilot Simulation Department of Shanghai Weilai Automobile Co., Ltd.

Steve Xie graduated from Peking University and received his Ph.D. from Columbia University. Judging from his work experience, Steve Xie had been deeply involved in the autonomous driving industry for many years before joining Weilai Automobile, and had working experience in Cruise, NVIDIA and other big manufacturers.

In 2018, Steve Xie joined Cruise, an American L4 autonomous driving company, responsible for simulation product development.

Alister Whelan, a former Jaguar Land Rover designer, and Joaquin Garcia, a former SEAT designer.

In October 2021, Whelan will become the design director of Weilai together with Garcia.

Alister Whelan had previously served as the interior design director in the design department of Jaguar Land Rover, and his career in Jaguar Land Rover was as long as 21 years, and he participated in the interior design of F-Type, F-Pace, I-Pace and other vehicles. Judging from his qualifications, he obviously has rich design experience.

Joaquin Garcia once worked in Skoda, a subsidiary of Volkswagen Group, for 5 years and in Seat for 6 years, and participated in the design work of Seat and its high-performance brand CUPRA.

Feng Li, Dean of BAIC New Technology Research Institute.

Feng Li comes from a technical background and knows a lot about automobile manufacturing. At the same time, he is also known as a "marketing wizard".

Previously, he worked in Chery Automobile, BAIC Group and other car companies, and has rich practice and successful experience in R&D, marketing, manufacturing and company management.

Since 2009, Feng Li has joined BAIC, successively serving as the executive deputy general manager of Beijing Hyundai, the president of Beijing Automotive Co., Ltd., the Standing Committee of the Party Committee of BAIC and the Party Secretary of the New Technology Research Institute of BAIC.

In December 2017, Feng Li joined Weilai Capital as a partner.

Bai Jian, former hardware director of OPPO and general manager of Xiaomi Chip and Forward-looking Research Department.

In November 2020, Bai Jian joined Weilai Automobile as vice president of hardware, reporting to Li Bin.

Before joining Xiaomi, Bai Jian worked for OPPO as the hardware director. In September 2018, Bai Jian joined Xiaomi Company as the general manager of Xiaomi Chip and Prospective Research Department. Bai Jian studied in Beijing University of Posts and Telecommunications, majoring in cryptography and communication engineering.

Zhu Jiang, former deputy general manager of Lexus China

In February 2017, Zhu Jiang joined Weilai Automobile as the vice president. In November, 2021, Zhu Jiang announced his resignation from Weilai and joined Jidu Automobile, a brand owned by Baidu Car, as the vice president of Jidu Automobile and the person in charge of user development and operation.

In 2002, Zhu Jiang began to set foot in the automobile industry, and then entered BMW Brilliance, responsible for dealer market, event marketing and other related work. In 2008, he was promoted to vice president of brand management of BMW China MINI.

In July 2014, he joined Lexus China as Deputy General Manager, mainly responsible for product planning and marketing.

Xie Dongying, former CFO of New Oriental

Xie Dongying worked in JPMorgan Chase, UBS Assets, UBS Investment Bank and other companies for many years, and then served as CFO of New Oriental Education Group, and once served as chief financial officer.

He is also a director of JD.COM, British education groups Noranda and Yum! China, and has helped many companies to complete the listing.

In May 2017, Weilai announced the appointment of personnel, and announced that Xie Dongying had joined as CFO, responsible for Weilai automobile financing and listing projects, and reported directly to Li Bin.

In October 2019, Xie Dongying left from Weilai.

Ralph kranz, former Volvo executive

In January, 2022, overseas media reported that Ralph Kranz, sales and commercial director of Volvo Germany, resigned on March 1st and joined Weilai Automobile to take charge of the German market.

According to public information, Ralph Kranz has many years’ experience in the automobile industry. Besides 10 years at Volvo, he also worked in aston martin and Toyota.

On the surface, it is wise for Weilai to dig kranz, mainly to promote the plan to enter the German market before the end of 2022.

Shen Feng, former Volvo executive.

In December 2017, the global CTO of Polestar, a high-performance brand owned by Volvo Cars, and Shen Feng, president of China and president of Volvo China R&D Company, announced that they had joined Weilai Automobile as vice president of quality and chairman of quality management committee, and were responsible for its overall quality-related management.

Volvo said that Shen Feng’s previous position in Polestar had been temporarily taken over by Lars Danielson.

Before joining Weilai, Shen Feng was a master of Ford 6-Sigma black belt, global CTO of Volvo Car Polestar and president of China, and president of Volvo China R&D Company.

Shen Feng has rich experience in 6-Sigma quality management, Geely Volvo International M&A, establishment of international R&D center, product R&D and mass production, supplier management, and establishment and commissioning of new factories.

Wu Yusen, Luo Jing, has the same disease but different lives, fighting against the "chameleon" lymphoma in the tumor field, and the new anti-cancer force CAR-T rises!

       Luo Jing, the host of the famous News Network, Cindy Lee, the actor who plays Fang Yu in Deep Rain, and Fuck off! Tumor jun touched many netizens’ cartoonist Xiong Dun … In recent years, many celebrities have passed away because of lymphoma. At the same time, however, there are also many famous people who have succeeded in fighting cancer after suffering from lymphoma. For example, the 70-year-old famous director Wu Yusen was diagnosed with large B-cell lymphoma in tonsils when filming Taiping Wheel in 2008. After four operations, in the second month of chemotherapy, his mouth was all festered, he could not swallow, and his body and face were so thin that he was wrinkled. Finally, he succeeded in fighting cancer with his firm will!  

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       For example, Kai-Fu Lee, the founder of an innovative factory that successfully used chemotherapy and targeted therapy to fight advanced lymphoma! On September 5, 2013, 52-year-old Kai-fu Lee announced that he had stage IV follicular lymphoma and had to leave work for treatment. In February 2015, he announced the results of his physical examination, indicating that the tumor in the body is not obvious at present. In June of the same year, Kai-fu Lee said that he had not found any lesions in his last two examinations and ridiculed himself as "Li Kangfu". It took Kai-fu Lee less than two years from finding out the cancer until the focus was completely gone. His anti-cancer experience is worth learning from.

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Alias "the most disguised disease", lymphoma has become a killer.

       According to statistics, there is a new case of lymphoma every 9 minutes in the world. The incidence of lymphoma in China is 0.02‰, with about 25,000 new patients and nearly 20,000 deaths each year. The threat of lymphoma is rapidly emerging. It ranks among the top ten malignant tumors in China and ranks second among hematological malignancies. At the beginning, the symptoms of the disease were hidden, and it was described as "the most disguised disease". In the intercontinental area, the incidence of non-Hodgkin’s lymphoma is much higher than Hodgkin’s disease, which is about 9: 1. Because of the higher degree of malignancy and worse prognosis, lymphoma is generally referred to as non-Hodgkin’s lymphoma. In China, the incidence of malignant tumors ranks ninth among men and tenth among women. Non-Hodgkin’s lymphoma can occur in all ages, and the high incidence age is 45~60 years old. Among them, Luo Jing suffered from diffuse large B-cell lymphoma (DLBCL). This is a common non-Hodgkin’s lymphoma, which belongs to aggressive lymphoma with high malignancy. The course of the disease progresses rapidly. If it is not actively treated, the median survival time is less than one year. In recent years, great progress has been made in the research and treatment of lymphoma, and new drugs and technologies have risen strongly! CAR-T therapy Among them, the chimeric antigen receptor T(CAR-T) cell therapy is particularly prominent. Its appearance represents a great progress in personalized cancer treatment, especially bringing the hope of rebirth to patients with hematological malignancies.

Complete remission! The first advanced lymphoma patient in China who received CAR-T therapy was discharged smoothly!

       Although they all suffer from diffuse large B-cell lymphoma, Mr. Chen, who suffers from malignant lymphoma, is a lucky one. According to Jiangsu public news channel News Space Station, on August 31st, the first lymphoma patient treated with CAR-T cells in China achieved complete remission and was discharged smoothly.  

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       Mr. Chen suffered from diffuse large B-cell lymphoma. After the onset of the disease in October 2010, he had received chemotherapy for many times, but all of them were unsatisfactory. Diffuse large B-cell lymphoma is the most common malignant lymphoma. After immunotherapy, about 60% patients can survive for a long time, but 40% patients will still relapse. In June this year, Mr. Chen accepted CAR-T cell therapy with a tentative attitude, and all the physical indicators tended to be normal. He told reporters with delight that his physical condition was better than before, and he was no different from a normal person after leaving the hospital. CAR-T therapy, a "living drug", made her completely relieved and looked forward to a cancer-free future. 

       As a "living" drug, CAR-T therapy is very different from traditional drugs. First, the therapy needs to isolate T cells from patients and modify them with chimeric antigen receptor (CAR) in vitro, so that they can specifically recognize cancer cells. Finally, the modified T cells are expanded and reinfused into patients. Compared with traditional chemotherapy and hematopoietic stem cell transplantation, it can kill tumor cells more accurately, improve the curative effect and greatly reduce the side effects.  

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The well-known director of hematology in China said: CAR-T can identify lymphoma very deliberately, and the antigen carried on tumor cells will attack directly after being connected, and it will produce an anti-tumor effect and kill it directly without the need for second signal stimulation, so one of its characteristics is accuracy, and the second is power. The scope of application is still the recurrence or refractory diffuse large B lymphoma that is ineffective in general immunochemotherapy.  

CAR-T therapy FDA approved 6 models, and domestic CAR-T therapy caught up!    

       After sharing the above news reports about CAR-T therapy, let’s get down to business and talk about CAR-T therapy. At present,CAR-T therapy has achieved great success in the treatment of hematological malignancies.. Six CAR-T cell therapies have been approved by FDA in the United States and two CAR-T cell therapies have been listed in China. The picture below shows CAR-T cell therapy that has been listed at home and abroad.   58991648856113613   

       Although China’s CAR-T technology started late, the domestic market is large. According to the data on Clinicaltrials.gov’s website, China became the country that registered the most CAR-T tests in September 2017. As of May 27th, 2021, there are 1301 CAR-T clinical trials in the world, and the number of CAR-T trials registered in China has reached 478! 

01  The first CAR-T therapy in China was approved for listing! China welcomes the first year of cellular immunotherapy.

       On June 22nd, the blank in the field of CAR-T in China was finally broken! The latest announcement of China National Medical Products Administration (NMPA), Fosun Kaite Biotechnology Co., Ltd. (hereinafter referred to as " Fosun Kate ”) The CAR-T cell therapy product targeting CD19, Aquilencel Injection (also known as Aquilencel, FKC876), was officially approved for marketing. This is the first approved CAR-T therapy in China and the sixth approved CAR-T therapy in the world. It is believed that China will usher in the blowout era of CAR-T cell therapy. 

02  In just one month, the second CAR-T therapy in China and the sixth CAR-T therapy in the world were approved!

       On September 3, the State Drug Administration recently announced that Yaoming JunuoThe CAR-T product targeting CD19, Regiosai Injection.(relma-cel, trade name: Benoda) has been officially approved. The approved indications for Regioside Injection are:It can be used to treat relapsed or refractory large B-cell lymphoma (r/r LBCL) in adult patients after second-line or above systemic treatment.Reggiorense injection is the second CAR-T product approved in China and the first CAR-T product of Class 1 biological products in China.

 

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It’s only been about one month since it was submitted for examination and approval on July 30th last time, which can be described as rapid progress. Congratulations! (At present, patients with economic conditions can contact cancer-free homes for the treatment of regiorense. ) 

Boom! The first BCMA CAR-T therapy in China and the second in the world was approved by FDA!

       China’s "dark horse" in CAR-T cell therapy industry-legendary BCMA(B-cell mature antigen) CAR-T therapy Cedar-B38m/JNJ-4528 (hereinafter referred to as cilta-cel) has attracted much attention, and has shown excellent anticancer activity in clinical trials for multiple myeloma.

       What is exciting is that on February 28th, 2022, local time, it was jointly developed by Janssen and Legendary Biology.BCMA CAR-T product, Cedactylosin (trade name Carvykti), has been approved by the US FDA for the treatment of adult patients with relapsed/refractory multiple myeloma (MM).

This is the first cell therapy product approved by FDA in China and the second CAR-T cell immunotherapy approved for BCMA in the world.

 

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       Cilta-cel was awarded priority review qualification by FDA on May 26th.However, the approval of the West Dachiorensai was delayed, and it was adjusted from November 29, 2021 toFebruary 28, 2022Fortunately, it was finally approved and lived up to expectations!

       cilta-celIt is a CAR-T therapy directed by research B cell maturation antigen (BCMA), which is used to treat relapsed or refractory multiple myeloma (RRMM). These patients received an average of five kinds of pre-treatment before treatment, 76% of them received five kinds of treatment, and 86% of them were resistant to five kinds of treatment, including CD38 treatment, and they were both resistant to protease inhibitor PI and immunomodulator IMiD. Simply put, it is refractory to relapse and lack of effective treatment in the follow-up. The principle of this CAR-T therapy is different from the current PD-1/L1. It directly uses the T cells in the patient’s body, transforms them in vitro, replicates them in large quantities, and then transfuses them into the patient’s body to kill cancer cells. At the ASH conference in 2021, the latest results of the 1b/2 CARTITUDE-1 study (n=97) showed that,meso-position 22 months Long-term follow-up, The objective remission rate (ORR) reached 98% , 83% patients achieved strict complete remission (sCR) It is emphasized that the mitigation will deepen with the passage of time (sCR will increase from 67% reported at the ASH annual meeting in 2020 to 83%). At 18 months, 66% of the patients were alive and the disease did not progress. .The two-year progression-free survival rate and overall survival rate are respectively 61% and 74% .The latest research results to be announced at the ASCO annual meeting in 2021 show that After a median follow-up of 18 months, the overall survival (OS) rate was 81%. The remission rate is comparable in all pre-specified subgroups and patients with different treatment lines.

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American research shows that cilta-cel has excellent long-term efficacy.   

       Emily, a foreign country, successfully ushered in nine years of cancer-free survival in 2021, and suddenly became the "spokesperson" of global CAR-T therapy. In China, there is such a lucky person whose fate has been completely changed by CAR-T therapy. Mr. Min was diagnosed with a special rare disease at the age of 54- multiple myeloma . He had no drugs available at that time, so he was lucky enough to participate in the clinical trial of CAR-T therapy. Although the treatment process was not smooth sailing, after three times of treatment, all the lumps on Mr. Min’s body disappeared and the pain disappeared. Surprisingly, by June 4, 2021, Mr. Min had lived cancer-free for five years, which is the field of cancer treatment, which is theoretically said. Clinical cure .

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       In fact, as early as March 27th this year,The FDA approved the first CAR-T therapy targeting BCMA for adult patients with relapsed/refractory multiple myeloma (r/r MM) after receiving more than four therapies.

       Chemotherapy to fight cancer is often "killing one thousand enemies and losing eight hundred". Antibody drugs can accurately find tumor targets, but sometimes their combat effectiveness is insufficient. If we can put a "warhead" of chemotherapy drugs on antibody drugs, can we attack cancer cells more accurately? Based on this, an ADC (antibody drug conjugate) called "biological missile" was born. Antibody-coupled drugs are like biological missiles, which consist of two core functions: the first is antibody (missile body), the second is strong chemotherapy drug (nuclear warhead); This design will enable antibodies to find tumor cells with chemotherapy drugs, and then accurately poison tumor cells and poison them.  This drug design combines the precision of targeted drugs with the high efficiency of chemotherapy drugs, which not only avoids the toxic and side effects of systemic use of chemotherapy drugs, but also has stronger killing ability than using targeted drugs alone, killing two birds with one stone.     42591648856116705    

Schematic diagram of antibody-coupled drugs   Note: (a) General description of A)ADC structure; (b) the mechanism of B)ADC.  

Fourteen ADC drugs have been approved around the world, which brings hope for prolonging the survival time of back-line patients.

       At present, more than 100 kinds of ADC are undergoing clinical trials. Most adcs have progressed from phase i to phase II. Some ADC phase III trials show positive results; Up to September 20th, 2021, there are 14 kinds of ADC drugs on the market in the world, which are mainly used in hematological tumors and solid tumors, and are mainly used for back-line treatment of patients, including advanced, recurrent/refractory and metastatic tumor indications.

 

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Fourteen ADC drugs have been approved worldwide.

According to the curative effect data, ADC drugs have brought more treatment options and the hope of prolonging the survival time for back-line patients, and the objective remission rate or median progression-free survival time of several drugs has doubled compared with chemotherapy.

Looking at the CD30 target, the new drug F0002-ADC became an instant hit and squeezed into the lymphoma track.

       CD30, a member of tumor necrosis factor (TNF) receptor superfamily, can promote cell proliferation or apoptosis by activating different signal pathways. In 2020, Vebtuximab for injection (Adcetris) was approved to be listed in China, and CD30 became famous. Adcetris, as an antibody-coupled drug targeting CD30, has an effective rate of 73% for Hodgkin’s lymphoma (HL) and 86% for anaplastic large cell lymphoma (ALCL). It is the first new drug approved in the field of Hodgkin’s lymphoma treatment in recent 30 years, and it is also the first time that a drug targeting CD30 has been approved, filling the gap in this field. At present, the only new ADC drug for CD30 in China is F0002-ADC. This new drug consists of three parts, namely, human-mouse chimeric anti-CD30 monoclonal antibody, thioether linker (MCC) and DM1. Since the project was launched in 2016, it has been disappointing! At present, patients with recurrent/refractory CD30 positive peripheral T-cell lymphoma are being recruited clinically! This is a new treatment option for patients with recurrent/refractory peripheral T-cell lymphoma!

This article is original for a cancer-free home, and it needs authorization to reprint! Cancer-free homes remind patients  

E Zhou Xin Li

This week, Weilai released its 2020 financial report. Although its annual net loss was 5.3 billion yuan, its gross profit margin turned positive. This has increased the industry’s expectations for Weilai. At the same time, holding more than 40 billion yuan in cash also gives investors confidence in the future development of the company.

The first week of March is the week when the new car-making forces release the production and sales express. Five new car-making forces, such as Weilai, Ideality, Tucki, Nezha and Zero Run, all showed different degrees of decline in February, and Weilai ranked first by virtue of the number of models.

For more news about the new forces of building cars, let’s move on.

1. In 2020, Weilai’s total revenue exceeded 16.2 billion, up 107% year-on-year, and 43,000 vehicles were delivered.

On March 1, 2021, US time, Weilai released the fourth quarter and full-year financial report of 2020. In the fourth quarter of 2020, the revenue was RMB 6.64 billion, up 46.7% from the previous quarter, and the total revenue for the whole year was RMB 16.2579 billion, up 107.8% from the same period last year. In terms of cash reserves, Weilai currently has a total reserve of 42.45 billion yuan; The annual operating loss was 4.61 billion yuan, narrowing by 58.4%.

In terms of delivery volume, the number of vehicles delivered in the fourth quarter of 2020 was 17,353, including 4,873 ES8, 7,574 ES6 and 4,906 EC6. In contrast, 8,224 vehicles were delivered in the fourth quarter of 2019 and 12,206 vehicles were delivered in the third quarter of 2020. In 2020, 43,728 vehicles were delivered and in 2019, 20,565 vehicles were delivered.

Source: First Electric Network

2、Geely Baidu established Jidu Automobile Co., Ltd.

Tianyancha APP shows that Geely and Baidu set up a brand-new joint venture company today, and the company was named Jidu Automobile. The registered capital of the new company is 2 billion yuan, and the company law is Xia Yiping. The shareholders are Dazi Bairuixiang Venture Capital Management Co., Ltd. (55%) and Shanghai Huapu Automobile Co., Ltd. (45%).

E Zhou Xin Li

Source: First Electric Network

3. Weilai sold 5,578 vehicles in February, a year-on-year increase of 689%.

On March 2, Weilai Automobile released the unaudited financial report for the fourth quarter and the whole year of fiscal year 2020 as of December 31, 2020. The financial report shows that in the fourth quarter, Weilai Automobile delivered 17,353 vehicles, a year-on-year increase of 111%, and delivered 43,728 vehicles throughout the year, an increase of 112.63% over 2019; Revenue in the fourth quarter was 6,641.1 billion yuan (US$ 1,017.8 billion), a year-on-year increase of 133.2%.

E Zhou Xin Li

Source: First Electric Network

4. LI delivered 2,300 Li ONE vehicles in February, a year-on-year increase of 755%.

On March 2nd, LI released the February delivery data. Li ONE delivered 2,300 vehicles in February, an increase of 755% compared with February 2020. As of February 28th, Li ONE has delivered more than 40,000 vehicles, reaching 41,276 vehicles.

E Zhou Xin Li

Source: First Electric Network

5. Xpeng Motors delivered 2,223 vehicles in February, and the cumulative delivery volume in January and February increased by 577% year-on-year.

On March 2nd, Xpeng Motors released the results delivered in February 2021. Affected by the Spring Festival holiday and other reasons, Xpeng Motors delivered 2,223 vehicles in February, of which 1,409 vehicles were delivered by Tucki P7 in February, and the cumulative delivery reached 20,181 vehicles, making it the fastest vehicle type for new car manufacturers to break through 20,000 vehicles. From January to February, the cumulative delivery volume in Xpeng Motors increased by 577% compared with the same period of last year.

Source: First Electric Network

6. Nezha Automobile sold 2,002 units in February, up 18.63% year-on-year.

On March 1st, Nezha Automobile released the production and sales data for February, and sold 2,002 vehicles in February, up by 18.63% year-on-year, and the cumulative sales exceeded 30,000.

E Zhou Xin Li

Source: First Electric Network

7. The delivery exceeded the 10,000-unit mark, with a total of 10,841 zero-run vehicles delivered.

On March 1st, First Electric Network learned from the official of Zero-Run Cars that by February 28th, 2021, the cumulative delivery of Zero-Run Cars had exceeded 10,000 units, reaching 10,841 units. Among them, T03 delivered a total of 8,362 units and S01 delivered 2,479 units. At the same time, 2424 sets of zero-running cars were ordered in February.

E Zhou Xin Li

There are 793 pre-sale orders for retail C11, 1604 sales orders for retail T03 and 27 sales orders for retail S01. As a zero-run, C11 launched a brand-new SUV model, and the first OTS vehicle (tooling car) was officially rolled off the assembly line on February 27th.

Source: First Electric Network

8. The first model of Zhiji Automobile was opened for booking in April and listed in 2022.

A few days ago, the driving sight learned from the official that Zhiji Automobile, a subsidiary of SAIC, will make a global reservation for its first production model at the Shanghai Auto Show in April this year. It is understood that the new car will be officially listed and delivered in 2022.

E Zhou Xin Li

Source: driving sight

9. Nezha received another credit of 5 billion yuan, and the accumulated credit amount exceeded 10 billion yuan.

A few days ago, we learned that Hezhong New Energy Automobile Co., Ltd. signed a comprehensive strategic cooperation agreement with Shanghai Branch of CITIC Group Coordination Committee to start all-round and in-depth cooperation with CITIC Bank Shanghai Branch, CITIC Securities and CITIC Prudential Life Insurance Shanghai Branch, and obtained a comprehensive credit line of 5 billion yuan from CITIC Bank. The financing funds will be mainly used for the research and development of intelligent technologies such as intelligent cockpit and intelligent driving in Nezha.

E Zhou Xin Li

Source: Aika Automobile

10. The new models of G3/P7 in Tucki are all entry-level models.

On March 3rd, Xpeng Motors announced that G3 and P7 had launched two NEDC models respectively, among which Tucki G3 added a 460c enjoyment model, the battery type was lithium iron phosphate, and at the same time, it was replaced with low wind resistance wheels, with a battery life of 460km;. Tucki P7 has newly added rear-drive standard endurance models, including Zhixiang version and Zhizun version, all of which use lithium iron phosphate batteries, and NEDC has a battery life of 480km. From the perspective of the two vehicle systems, the newly added models are all entry-level models of G3 and P7, which enriches the choice of car purchase, especially the newly added model of Tucki P7 further lowers the purchase threshold of this car.

E Zhou Xin Li

Source: First Electric Network

11, 169,900 from the sale of Aichi U5 PURE Zhi listed in urtext.

A few days ago, we learned from the official that the 2021 Aichi U5 PURE urtext was officially launched, and the price of the new car was 169,900-189,900 yuan. The "1+3" mode with self-defined options is introduced in this model. Users can carry out three categories of options and options, such as battery life, exterior interior color and function upgrade, on a benchmark model, with 384 vehicle configuration combinations.

E Zhou Xin Li

Source: car home.

one2、Weimar W6 officially opens the pre-sale intention, only 6.6 yuan is needed.

On March 1st, Weimar W6, a brand-new pure electric SUV model of Weimar Automobile, officially opened for pre-sale. At present, after logging in and authenticating Weimar Auto WeChat applet, you will be able to participate in Weimar W6 prize-winning pre-order activities, and you will become an "reserved customer" by paying 6.6 yuan on the activity page, and you will have a lucky draw. In terms of power, Weimar W6 will be equipped with a motor with a maximum power of 160kW. The battery is a ternary lithium-ion battery produced by Hubei Xinghui New Energy Smart Car Co., Ltd., with a battery capacity of 65kWh and a cruising range of 520km.

E Zhou Xin Li

Source: First Electric Network

13. The longest battery life is 610km. Nezha will launch Nezha U Pro.

A few days ago, we learned from Nezha Auto that Nezha Auto will launch 2021 Nezha U, and the new car will be named Nezha U Pro. According to the official, the new car will be upgraded in 33 aspects, such as battery life and intelligence, and the cruising range will reach 610km09 under comprehensive working conditions.

E Zhou Xin Li

Source: car home.

14. Chinese Express and Zhongke Chuangda join hands to build smart cars.

A few days ago, Chinese Express announced that it has formally signed a cooperation agreement with Zhongke Chuangda, and the two sides will set up a joint venture company to focus on the development of automotive intelligent systems and software. The two sides will jointly build a computing platform and tool chain for the next generation of smart cars and launch a new generation of smart car operating systems.

Source: car home.

15. Guosen Securities shares in zero-run cars.

On March 1 ST, Tianyancha APP showed that Zhejiang Zero Run Technology Co., Ltd. (hereinafter referred to as "Zero Run Car") changed its business information: Guoxin Securities, a new shareholder, was added. Regarding this industrial and commercial change, the person in charge of the relevant departments of Zero Run Automobile said: "Guosen Securities is the trustee of our employee stock ownership plan, and Zero Run Automobile is preparing for IPO listing."

Source: Yiou Automobile

16. Xpeng Motors affiliated enterprises set up a new company, and its business scope includes second-hand car distribution.

The data shows that on March 2, Shanghai Pengxing Automobile Sales & Service Co., Ltd. was established with a registered capital of 5 million yuan, and its legal representative is Zhu Yanhua. Its business scope includes the sales of new cars. New energy vehicle sales; Used car distribution; Motor vehicle repair and maintenance. Enterprise survey shows that the company is wholly owned by Shanghai Xpeng Motors Sales & Service Co., Ltd.

Source: Sina Auto

Source: First Electric Network

Author: Li Yanjiao

Address: https://www.d1ev.com/news/shichang/141375.

Gaohe Automobile unveiled four new HIHIX models at the Shanghai Auto Show at a price of 570,000 to 800,000 yuan.

(Gaohe HiPhi X brings all models to the Shanghai Auto Show)

(Gaohe HiPhi X brings an immersive TECHLUXE? technology luxury experience to the auto show audience with the new "car dance" show)

New models, technology, luxury, new options

On March 30th, Gaohe Automobile officially released four new models with six seats in performance version, six seats in luxury version, six seats in flagship version and four seats in flagship version, all of which are equipped with four-wheel drive, four-wheel steering and six-door electric NT wing door as standard, bringing users more diversified new luxury options of TECHLUXE? technology.

(The lineup of all models of Gaohe HiPhi X was unveiled at the Shanghai Auto Show)

Through the industry-first "Gaohe Energy Upgrading Service", Gaohe Automobile will also provide "trade-in" battery upgrading service for the first owner of HiPhi X in 2023, which can upgrade the existing battery pack to the industry-leading 160kW·h or 120kW·h battery pack and enjoy the longest battery life of up to 1000 kilometers.

(Ding Lei, founder of Chinese Express and Gaohe Automobile, released the "Gaohe Energy Promotion Plan")

Brand-new service directly reaches the user’s life radius

With the delivery just around the corner, Gaohe Automobile accelerates the construction of luxury service system and charging. The first batch of Gaohe experience stores located in more than ten cities including Beijing, Shanghai, Guangzhou, Shenzhen, Hangzhou, Chengdu, Wuhan, Ningbo, Xi ‘an, Chongqing and Yancheng have taken the lead in opening, and the number of experience stores and service outlets will increase to 85 by the end of May, reaching 120 during the year.

(The first batch of Gaohe experience stores in China has been opened first)

In terms of charging, the first owner of Gaohe Automobile will be given an intelligent interactive Gaohe household charging pile. The evolvable intelligent interconnected charging pile can realize voice interaction, give intimate reminders when charging, send blessings during festivals, and users can customize voices and scenes to feel novel fun.

The first car owner can also enjoy fast charging service at Gaohe brand charging station; At the same time, Gaohe Automobile has achieved in-depth cooperation with charging partners such as State Grid, China Southern Power Grid and TELD on national public charging piles, covering 150,000 charging piles in more than 300 cities and major highway networks, covering the core charging scenes in users’ travel.

At the same time, for the first owner of four new HiPhi X models, Gaohe Automobile launched "Qixin Courtesy" to provide car owners with a life-cycle worry-free car experience with the guarantee of "2 extra long +2 free +1 peace of mind". Its rights and interests include:

Extra-long vehicle warranty (5 years/150,000 km)

Super-long Three Electricity Warranty (8 years/240,000 km)

Lifelong free road rescue

Lifelong free 5G network car networking traffic (10G per month)

14-day peace of mind car purchase guarantee

(The first owner of the new model of Gaohe HiPhi X can enjoy the "new courtesy")

Brand-new factory guarantees high quality and timely delivery.

HiPhi Plaza strives to build the latest benchmark of intelligent manufacturing in the digital Internet era with the four dimensions of "intelligence, digital, interconnection and environmental protection". It is also a brand experience center jointly created by Gaohe Automobile and users, and fully guarantees the high-quality delivery of Hip Hi X.

(Gaohe City Boutique Factory Deduces the Perfect Integration Model of Post-modern Industry and City)

As a new benchmark for intelligent manufacturing, the factory introduced world-class advanced manufacturing equipment such as Kuka’s latest C4 interconnected robot, which was enabled by edge computing. Based on the production environment with full coverage of 5G, it was fully intelligent and interconnected. From the first part to the last unattended automatic driving production line, it realized a high degree of automation. It is an industrial 4.0 model factory that comprehensively benchmarked the most advanced intelligent manufacturing level in the world today and took the lead in entering the era of "intelligent manufacturing".

Gaohe Factory has built a strict quality management system with world-class standards, combined 100% on-line and off-line measurement with advanced equipment and means such as GOM Blu-ray measurement and CMM, and realized quality management based on big data trend analysis with 5G communication technology to ensure the quality of millions of luxury cars for users. The painting workshop adopts the latest generation of spraying robots from Durdurr, Germany, with an atomization efficiency of 62,000 revolutions per minute, high-pressure adsorption of 30,000 volts and 8 coats, achieving the extremely uniform appearance quality comparable to Porsche, and having excellent corrosion resistance and weather resistance.

(The paint workshop of Gaohe City Boutique Factory is equipped with the latest generation painting robot of DURR)

As a user experience center, Gaohe Factory building is full of futuristic feeling, and it has become a model of post-modern industrial manufacturing and urban integration through scientific planning and landscape design. Green materials, processes and equipment are widely used to create a "zero-load" green environmental protection model project for the environment, and users will soon be open to make an appointment to visit. Users can also test drive the latest HIX vehicles here, and they can also choose to complete the delivery of their cars in the factory.

It is reported that from May 8, Gaohe HiPhi X will be officially delivered to users in high quality.

The nemesis of shuffling Trump in American politics is the 80-year-old "devil"!

  BEIJING, Jan. 13 (Xinhua)-The violent attack on Capitol Hill in the United States not only raised eyebrows in the international community, but also triggered an "earthquake" in American politics. In the chaos, Nancy Pelosi, the speaker of the US House of Representatives who was re-elected in early 2021, continued to "pursue Trump" and received much attention.

  This 80-year-old female politician of the Democratic Party has made Trump "three axes" and "hard and hard". What role will she play in the new season of "The Storm of Capitol Hill"?

  The office was broken into and the computer was lost in the riot … …

  Pelosi made "Three Axes" hard on Trump.

  On the 6th, the day of the riots in the US Congress, although Pelosi left the Capitol through the emergency passage like other members, her office was broken into by protesters.

  The door of the office was violently knocked down, protesters proudly took photos on her desk, staff had to hide under the desk for hours, the mirror in the room was broken, a work computer was stolen, and the podium was removed and put into online auction … … Trump supporters seem to regard Pelosi as a "punching bag."

  Nowadays, the violent riots have stopped and Biden is about to take office. For Democrats such as Pelosi, the time to "calculate the general ledger" with Trump has already begun. In order to completely end Trump’s political life, Pelosi offered three tricks!

  The first move: send an ultimatum to Burns.

  A few days ago, Pelosi said that the House of Representatives will introduce a resolution on the 11th, demanding that Burns "convene and launch the cabinet, and use the 25th Amendment of the Constitution to declare that the current president cannot exercise his functions and powers".

  However, this appeal of the House of Representatives failed to be agreed by all members, and a Republican congressman voted against it. Therefore, the House of Representatives will discuss and vote on this on the 12th local time. As the Democratic Party controls the House of Representatives, this vote is expected to be passed.

  Burns, on the other hand, has a day to consider whether to comply with the appeal of the House of Representatives.

  It is widely believed that Burns will not take action to remove Trump’s presidency. Therefore, Pelosi has also prepared a second trick — — Congress impeached.

  The second measure: advance the impeachment procedure.

  On the 11th, the US House of Representatives formally proposed a resolution to impeach President Trump, accusing Trump of "inciting rebellion".

  Pelosi and others said that if Burns is unwilling to remove Trump, the House of Representatives will vote on the impeachment resolution on the 13th EST.

  Trump’s time in the White House is running out. Congress impeached him again at this time. Although he could not be driven out of the White House in advance, it was not meaningless. As a former president, Trump can still be impeached.

  Once the impeachment is successful, in addition to leaving a stain on Trump’s political career, it may make him unable to run for public office again.

  The third measure: stare at the nuclear button and launch a public opinion offensive.

  In addition, Pelosi also launched a public opinion offensive and questioned Trump’s mental state several times.

  In a letter to her Democratic colleagues, Pelosi specifically stated that she would "prevent an insane president from using nuclear weapons". She said: "This insane president is too dangerous. We must take all measures to protect the American people from his psychological imbalance attack on the United States and democracy."

  On the 10th, in an interview, Pelosi added: "The people in charge of our government administration are crazy, insane and dangerous."

  In fact, this is not the first time Pelosi has confronted Trump. From the investigation of "TongRumen" to the impeachment of "TongWumen"; From sticking Trump’s funds to build a border wall to tearing Trump’s congressional speech; It can be said that Pelosi is one of Trump’s strongest political opponents.

  Her methods are ruthless and her style is tough. How was such an American politician tempered?

  From housewives to the third person in American politics

  How do senior women play "power games"?

  According to the British Broadcasting Corporation (BBC), Pelosi, who officially entered American politics at the age of 47, completed the identity transformation from a housewife with five children to the first female speaker in the United States in 20 years. Among them, I have to mention her family background.

  — — Born into a political family

  Pelosi was born in Baltimore, Maryland, USA in 1940. She was the youngest of seven children. Different from many people, Pelosi’s family has a strong political color. Her father and a brother have both served as mayors, and her mother is also keen on political activities.

  Perhaps influenced by the family atmosphere, Pelosi attended the Democratic Party Congress when she was 12 years old, and also chose political science when she went to college. In 1961, she also attended the inaugural ball of then US President John F. Kennedy.

  However, after graduating from college, Pelosi did not go into politics directly, but chose to marry a banker and become a full-time wife.

  — — Step into politics

  In 1976, Pelosi began to dabble in politics. At that time, she used her personal connections to help California Governor Brown win the Maryland presidential primary. After that, she "took off" all the way in the state’s Democratic Party and took the top spot in the state’s party.

  In addition, after moving to San Francisco with her husband, Pelosi also met Phillip Burton, a California Congressman, an "important person" in her political career.

  It is reported that after Berton’s death, he passed on his position to his widow Sarah. Before Sarah died of cancer, she expressed the hope that Pelosi would take over the position.

  At this time, Pelosi’s children went to college, and she also decided to concentrate on politics. As a result, she raised $1 million in seven weeks, held 100 family gatherings, and won a special election in 1987 to become a federal representative.

  — — Reach the peak

  With a keen political sense, Pelosi rose rapidly within the Democratic Party. In 2001, Pelosi ran for the minority supervisor of the House of Representatives (the second chair of the Democratic Party in the House of Representatives) and won by a narrow margin. A few months later, she was promoted to be the leader of the Democratic Party in the House of Representatives.

  When the United States invaded Iraq in 2003, Pelosi was one of the most famous and public opponents at that time. This position paid off in 2006 — — Democrats won control of the House of Representatives for the first time in 12 years.

  Therefore, Pelosi was elected as the Speaker of the House of Representatives by the Democratic Party in 2007, becoming the first woman in American history to hold this position.

  According to reports, the Speaker of the House of Representatives is not only the power core of the US Congress, but also the second "heir" of the US President and the "third person" in American politics. In addition, the House of Representatives is also in charge of the "money bag" of the US government. No wonder some media said that Pelosi was the "most powerful woman" in Washington.

  Became Speaker of the House of Representatives for four times.

  How to play Pelosi’s new season play?

  On January 3, 2021, local time, in the 117th Congress of the United States, Pelosi led the Democratic Party, won the House of Representatives election with a narrow majority of 216 votes to 209 votes, and was elected as the Speaker of the House of Representatives for the fourth time.

  At this point, Pelosi, who is over eighty years old, has set another record — — Become the oldest speaker of the House of Representatives in American history.

  It is worth noting that the BBC analysis said that in the next term, Pelosi will not sit back and relax, but is likely to encounter a huge political test.

  In the next two years, how to help Biden’s government’s legislation pass smoothly in the House of Representatives is a top priority for Pelosi. However, in this House of Representatives election, Pelosi leads her opponent with only 7 votes, and her advantage is very weak. A little wavering will make Biden’s government’s efforts to implement policies difficult.

  In addition, Pelosi also faces many challenges, such as being questioned by her age, severe epidemic situation, and bridging differences within the party.

  "She has to find a way to turn her weak majority seat into sustained action," BBC reporter Seckel said.

  What role will Pelosi, who looks like scenery, play in the new season of "The Storm of Capitol Hill" after the 2020 American election? (End)

Artificial intelligence, technology is ready, what about us?

In recent years, artificial intelligence technology represented by deep learning and reinforcement learning has expanded from engineering fields such as language translation, image recognition and industrial automation to economic and financial fields such as intelligent production, intelligent agriculture, intelligent logistics, macro-economic monitoring of big data, and quantitative investment and research, which can be said to be widely used.

Artificial intelligence technology has the inherent advantage of dealing with high-dimensional data, and can avoid many limitations of traditional analysis methods by means of representation learning, value function approximation and feature selection, and obtain better prediction and decision-making effects. In order to make artificial intelligence technology achieve satisfactory prediction and decision-making results, researchers often need to invest a lot of data resources. This technical feature makes data resources a key factor of production. With the popularization of big data, intelligence, mobile Internet and cloud computing, artificial intelligence technology, as the underlying technology to provide information products and services, is also the key to the gradual transformation of industrial economy to digital economy.

  What is the artificial intelligence algorithm?

  Artificial intelligence algorithms can be roughly divided into supervised learning, unsupervised learning and reinforcement learning. Among them, supervised learning learns laws from human experience through continuous training programs (models). In this kind of machine learning, researchers will constantly adjust model parameters by marking data to achieve learning purposes. Similar to parents will show their children different colors, sizes and even kinds of apples, and teach children to know "never seen" apples. This is the purpose of supervised learning: out-of-sample prediction.

  Unsupervised learning enables the machine to extract features directly from the existing data and compress the information for other tasks through training programs. Like traditional principal component analysis, high-dimensional features can be approximated by low-dimensional vectors. For example, we can use principal component analysis technology to compress pictures to save storage space. Therefore, this kind of machine learning algorithm does not need previous experience, and is also called unsupervised learning.

  Of course, the relationship between unsupervised learning and supervised learning is not contradictory to each other, and we can also use semi-supervised learning algorithm for data with partial labels. For example, the recently popular antagonistic neural network — — We can use this algorithm to learn a series of Oracle Bone Inscriptions, so that it can generate a number of "Oracle Bone Inscriptions" which is enough to confuse the false with the true, but never represents any meaning, which is equivalent to a calculation program that "paints a tiger as a tiger" but doesn’t know it is a tiger.

   In addition, reinforcement learning is different from the above (none, half) supervised learning algorithm. Reinforcement learning is an extension of dynamic optimization, while (none, half) supervised learning is closer to statistics. Reinforcement learning can maximize the cumulative benefits of intelligent programs by making them constantly interact with the environment and adjusting the decision parameters (processes) of intelligent programs. Reinforcement learning is the machine learning algorithm closest to human decision-making process, which is similar to letting an agent perceive the world infinitely and quickly, and optimizing its decision-making process through its own failure or success experience. In this process, computer programs do not need teachers so much. Of course, intensive learning cannot be completely separated from supervised learning. For example, AlphaGo is a computing program trained by means of intensive learning, but in the first stage of AlphaGo training, researchers used a large number of human players’ chess manuals for AlphaGo to imitate learning, where human experience is similar to that of teachers; However, in ZeroGo, an upgraded version of AlphaGo, imitation learning has been completely abandoned.

   In order to make artificial intelligence algorithms universally applicable, we often need a lot of data, computing power and effective computing algorithms. A large amount of data is equivalent to hiring a knowledgeable teacher to guide the computer program, and high computing power will give the computer program the ability to learn knowledge faster. An important direction in the field of artificial intelligence research is to continuously develop computing algorithms that can make more effective use of existing data and computing power, which is equivalent to providing better learning methods and paths for computer programs. Therefore, data annotation, cloud computing, chip design and algorithm development are the core parts of the artificial intelligence industry.

  What impact does artificial intelligence technology have on social economy?

   In fact, artificial intelligence technology originated as a discipline in 1950s, for example, McCarthy and others, the "father of artificial intelligence", proposed artificial intelligence in 1950s; The decision tree model originated from 1950s to 1960s, while the neural network model and Q-learning reinforcement learning algorithm, which are widely used at present, originated from 1980s. However, if artificial intelligence technology wants to reach the accuracy of human decision-making, it needs a lot of training (experience) data and high computing power, so it was not until 2000 that artificial intelligence technology was able to achieve leap-forward development.

  With the blessing of a large amount of data and high computing power, some artificial intelligence technologies can replace humans to make large-scale accurate decisions, and also replace more and more manual jobs. Judging from the current impact, on the one hand, the application of machine learning has indeed replaced some traditional labors, resulting in the labor crowding-out effect: automated robots tend to make the production process unmanned, natural language processing technology can better complete most of the translation and even information extraction, and machine learning algorithms can even more accurately characterize the properties of small molecular compounds, thus reducing the labor and time consumption required for large-scale repetitive work to some extent.

   On the other hand, like previous technological revolutions, the rise of machine learning has not only improved social production efficiency, but also created new jobs for society. Since the birth of the industrial revolution, steam turbines have replaced grooms and coachmen, spinning machines have replaced textile workers, wired telephones and wireless telegrams have replaced postmen, and electronic computers have replaced hand-operated computers, saving a lot of manual calculations. However, it should be noted that every scientific and technological progress has not caused a large number of social unemployment, but will change the original social production organization structure and produce new formats by improving the production efficiency and technological innovation of traditional industries. Scientific and technological progress not only changes the production technology of industrial enterprises, but also changes the work content of traditional industries, resulting in new job demands.

  Like any other technological innovation, machine learning technology has different degrees of influence on different industries and different positions. For those who are engaged in production processes, the impact of machine learning is undoubtedly subversive. However, for those positions that need overall planning, innovation and interaction, machine learning can not make a significant impact at the current stage.

  In addition, we also need to realize that artificial intelligence algorithms still cannot reach the level of "intelligence". Any technology is accompanied by security risks, and so are artificial intelligence algorithms. For example, most supervised learning algorithms do not have a clear logic generation process, which not only prevents researchers from effectively interfering with the algorithms, but also makes artificial intelligence algorithms less robust in the training and prediction stages. To give a simple example, in a classification algorithm, if we change a pixel on a three-inch cat photo, it may make the computer algorithm identify the cat as other items. This kind of practice is called reverse attack and involves artificial intelligence technology risks.

       Just like other emerging industries in the early stage of development, due to the lack of early supervision, some enterprises will make improper use of their early advantages in data, computing power and algorithms, leading to the abuse of artificial intelligence technology, monopoly operation of some head enterprises, disclosure of private data and even enterprise operation risks caused by over-reliance on algorithm decision-making, which are the application risks and derivative risks of artificial intelligence technology.

  Therefore, how to develop and lead this strategic industry has become the top priority at present — — We need to think about how to give full play to the social bottom function of the government during the period of intelligent economic transformation, and how to standardize the operation of the private sector when its computing power and scientific and technological level exceed those of the regulatory agencies.

  What are the advantages of the revolution with intelligent technology?

  Strengthen investment in research and development, coordinate industry development, achieve core industry leadership, and grasp the dominance of artificial intelligence technology.Artificial intelligence has become a basic core field related to national security and overall development. At present, although the development of artificial intelligence in China is generally upward, there are still many problems in basic research, technical system, application ecology, innovation and development. Therefore, taking interdisciplinary and application transformation as the starting point to drive basic research in the field of artificial intelligence, increasing financial investment in related research, optimizing expenditure structure, and implementing tax incentives for enterprises investing in basic research will all help to coordinate the development of the industry. Focusing on strengthening the originality and leading research in the core areas of artificial intelligence (such as algorithms and chips) can better grasp the dominant position of artificial intelligence technology.

  Pre-oriented, professional and flexible industry and technology supervision can better regulate the development of the industry and create a good digital environment.On the one hand, the artificial intelligence industry will have negative effects on monopoly, diversification, privacy and ethics. Therefore, the implementation of the underlying algorithm supervision can effectively prevent artificial intelligence-related and derivative risks such as opaque automated decision-making and privacy violations. On the other hand, the current development of artificial intelligence industry is in the explosive period of technological innovation and industrial growth. While bringing development dividends to the social economy, the flexibility of its application forms and associated formats also means that the regulatory framework and ideas should be adjusted accordingly, so as to further play the dividends brought by technological progress. In addition, we need to equip a more professional industry supervision team, empower artificial intelligence supervision with artificial intelligence technology, standardize the artificial intelligence industry in a pre-position, specialization and flexibility, and flexibly formulate the supervision framework and implementation norms according to the actual development conditions of different artificial intelligence industries, so as to reduce unnecessary obstacles faced by the development and application of artificial intelligence technology, create a good digital environment, and further build the core competitiveness of China’s artificial intelligence industry.

  Deeply integrate the real economy, develop the digital economy and explore new formats.As the core technology in the development of digital economy, artificial intelligence technology can effectively transform data production factors into actual productivity. The improvement of production efficiency and the change of production paradigm brought about by the deep integration of intelligent technology and real economy are important driving forces for China’s macroeconomic transformation and upgrading. Therefore, deep integration of the real economy should be a major goal of the development of the artificial intelligence industry. Exploring new formats and developing new models based on artificial intelligence technology, promoting the transformation and upgrading of traditional industries, accelerating the cross-regional flow of production factors, integrating market players, and smoothing the economic cycle at home and abroad are also the inevitable needs of fully basing on and giving full play to the advantages of China’s entire industrial chain and laying out industries with digital economy advantages.

  Give full play to the market initiative and realize the simultaneous production, learning and research of artificial intelligence industry.The long-term healthy development of artificial intelligence technology is inseparable from a good market environment and industrial support. Micro-subjects can effectively smell business opportunities, and market economy has comparative advantages in exploring new formats and exploring new models. However, as a typical knowledge-intensive industry, the artificial intelligence industry needs a lot of research and development work and trains a large number of professional and technical personnel in the early stage. Universities and research institutes have comparative advantages in personnel training and technological innovation, and are important core forces in the artificial intelligence industry chain. Therefore, taking market demand as the leading factor, organically combining enterprises, universities and scientific research institutions, we will form complementary synergy in functions and resource advantages, and provide basic support for the development of the intelligent industry. Taking economic benefits as the starting point, we should mobilize the enthusiasm of scientific and technological personnel in colleges and universities, promote the transformation of scientific and technological achievements into real productive forces, and create a healthy and sustainable development ecology of artificial intelligence industry.

  Improve the social security system and promote the system of individual development and skills training and re-employment.With the application of large-scale machine learning technology, the subjective initiative, individual innovation and overall thinking ability of the labor force are extremely important to social and economic development and personal development. However, there is still a technical gap between the traditional labor supply and the emerging labor demand — — The traditional labor force is not qualified for the job demand of emerging industries. Under this background, how to effectively promote the re-employment system of individual development and skills training, effectively bridge the technical gap, and how to adjust the social security system to make it more applicable to cross-departmental retraining and re-employment, to ensure people’s livelihood and to effectively improve social welfare, etc., are worthy of our further thinking and exploration.

    (Author: Wang Xi, a researcher at Peking University Institute of Economics)

soccer

On November 1st, in the final round of the second stage (Group B) of the Asian Women’s Football Qualifier for the Paris Olympic Games, China drew 1-1 with South Korea, and failed to advance to the Paris Olympic Games.

On November 1st, China coach Shui Qingxia (former) led the players to greet the audience after the game. Xinhua News Agency reporter Jiang Kehong photo

On November 1st, China team player Wang Shanshan (right) struggled in the competition. Xinhua News Agency reporter Wei Peiquan photo

On November 1st, China team player Zhang Linyan (second from left) broke through with the ball in the game. Xinhua News Agency reporter Jiang Kehong photo

On November 1st, China team player Yang Lina cried after the game. Xinhua News Agency reporter Wei Peiquan photo

Source: Xinhua News Agency

English Analysis: Debate on Medical-assisted Suicide

  The Supreme Court’s decisions on physician-assisted suicide carry important implications for how medicine seeks to relieve dying patients of pain and suffering.

  Although it ruled that there is no constitutional right to physician-assisted suicide, the Court in effect supported the medical principle of "double effect", a centuries-old moral principle holding that an action having two effects— a good one that is intended and a harmful one that is foreseen— is permissible if the actor intends only the good effect.

  Doctors have used that principle in recent years to justify using high doses of morphine to control terminally ill patients’ pain, even though increasing dosages will eventually kill the patient.

  Nancy Dubler, director of Montefiore Medical Center, contends that the principle will shield doctors who "until now have very, very strongly insisted that they could not give patients sufficient mediation to control their pain if that might hasten death."

  George Annas, chair of the health law department at Boston University, maintains that, as long as a doctor prescribes a drug for a legitimate medical purpose, the doctor has done nothing illegal even if the patient uses the drug to hasten death. "It’s like surgery, "he says. "We don’t call those deaths homicides because the doctors didn’t intend to kill their patients, although they risked their death. If you’re a physician, you can risk your patient’s suicide as long as you don’t intend their suicide."

  On another level, many in the medical community acknowledge that the assisted-suicide debate has been fueled in part by the despair of patients for whom modem medicine has prolonged the physical agony of dying.

  Just three weeks before the Court’s ruling on physician-assisted suicide, the National Academy of Science (NAS) released a two-volume report, Approaching Death: Improving Care at the End of Life. It identifies the undertreatment of pain and the aggressive use of "ineffectual and forced medic al procedures that may prolong and even dishonor the period of dying" as the twin problems of end-of-life care.

  The profession is taking steps to require young doctors to train in hospices, to test knowledge of aggressive pain management therapies, to develop a Medicare billing code for hospital-based care, and to develop new standards for assessing and treating pain at the end of life.

  Annas says lawyers can play a key role in insisting that these well-meaning medical initiatives translate into better care. “Large numbers of physician s seem unconcerned with the pain their patients are needlessly and predictably suffering, ”to the extent that it constitutes “systematic patient abuse.” He says medical licensing boards “must make it clear … that painful deaths are presumptively ones that are incompetently managed and should result in license suspension.”

  36. From the first three paragraphs, we learn that

  [A]doctors used to increase drug dosages to control their patients’ pain.

  [B]it is still illegal for doctors to help the dying end their lives.

  [C]the Supreme Court strongly opposes physician-assisted suicide.

  [D]patients have no constitutional right to commit suicide.

  37. Which of the following statements its true according to the text?

  [A]Doctors will be held guilty if they risk their patients’ death.

  [B]Modern medicine has assisted terminally ill patients in painless recovery.

  [C]The Court ruled that high-dosage pain-relieving medication can be prescribed.

  [D]A doctor’s medication is no longer justified by his intentions.

  38. According to the NAS’s report, one of the problems in end-of-life care is

  [A]prolonged medical procedures.

  [B]inadequate treatment of pain.

  [C]systematic drug abuse.

  [D]insufficient hospital care.

  39. Which of the following best defines the word “aggressive" (line 3, paragraph 7)?

  [A]Bold. [B]Harmful. [C]Careless. [D]Desperate.

  40. George Annas would probably agree that doctors should be punished if they

  [A]manage their patients incompetently.

  [B]give patients more medicine than needed.

  [C]reduce drug dosages for their patients.

  [D]prolong the needless suffering of the patients.

  analysis

  36. From the first three paragraphs, we learn that we know from the first three paragraphs.

  [A] doctors used to increase drug dosages to control their patients’ pain.

  Doctors used to increase the dosage of drugs to control patients’ pain.

  [B] it is still illegal for doctors to help the dying end their lives.

  It is still illegal for a doctor to help a critically ill person end his life.

  [C] the Supreme Court strongly opposes physician-assisted suicide.

  The Supreme Court strongly opposes medical-assisted suicide.

  [D] patients have no constitutional right to commit suicide.

  The patient has no constitutional right to commit suicide.

  [answer] b

  [test site] factual details.

  [Analysis] This question tests all the contents of the first to third paragraphs, and the relevant information of option [A] can be located in the third paragraph, but the article says that "doctors have only used this principle to defend their actions in recent years." There is no way to say "used to be" in the article. Option [B] can be located in the second paragraph, which mentions that "the Constitution does not give such rights". So it can be said that this answer is correct. Option [C] can be located in the second paragraph, but the court supports this approach. As for [D], it is obviously wrong.

  37. Which of the following statements is true according to the text?

  According to the passage, which of the following statements is correct?

  [A] Doctors will be held guilty if they risk their patients’ death.

  If doctors risk patients’ lives, they will be found guilty.

  [B] Modern medicine has assisted terminally ill patients in painless recovery.

  Modern medicine has helped terminal patients to recover painlessly.

My son wanted to go to the zoo, but his father took him to the pigsty. The truth behind it made my nose sour.

  Are you willing to remain anonymous all your life?

  For the first atomic bomb of new China, tens of thousands of scientists and soldiers gave a positive answer to this question more than 60 years ago. They left home and entered Lop Nur, which is known as the "sea of death", and began the years of hard struggle. A few years later, People’s Republic of China (PRC) appeared in front of the world with a brand-new attitude.

Zhang Yunyu son of the general, the first commander of China's nuclear test base, tells the origin of the name of Malan base.

Zhang Yunyu son of the general, the first commander of China’s nuclear test base, tells the origin of the name of Malan base.

  "Husband and wife tree" on Gobi Desert 

  In 1963, Wang Ruzhi, deputy director of the Third Institute of Engineering Research, received a notice from the organization and secretly went to Lop Nur to participate in the nuclear test. She was so excited that she didn’t sleep all night.

  But the next day, she put up with all her emotions and said simply to her husband Zhang Xianglin, "I’m going on a business trip abroad." Zhang Xianglin replied: "Good."

  Two people so calm tunnel don’t.

  Wang Ruzhi entered the base for a few months. One day, she was waiting for the bus under an old elm tree, and she saw a soldier coming with a box in the distance, looking like her husband. When the man approached, her eyes widened in surprise, and it was him!

  On the day of the original farewell, Zhang Xianglin also received the same notice, but both of them kept it a secret and didn’t ask each other much.

  In those months, they have been close at hand, doing the same job, but they don’t know that their beloved is beside them, fighting side by side with themselves.

  General Zhang Aiping, who organized and directed the nuclear test, was deeply moved by this incident and gave the old elm a name — — Couple tree.

  Time flies to 1984. Deng Jiaxian returned to Beijing after completing the 32nd nuclear test in his life. He looked very happy. His wife asked him, "What happened today?"

  Deng Jiaxian could not say, but read a poem: "After twenty years of brave climbing, the second generation canoe has crossed the bridge."

  The lady asked again, "What is the second-generation canoe?" Deng Jiaxian replied: "This is a secret."

  At this time, Deng Jiaxian was suffering from cancer, which was the last nuclear test in his life.

  Before leaving, Deng Jiaxian held his wife’s hand and said, "If there is an afterlife, I will choose China, the nuclear weapons industry and you."

  Many years later, Hu Renyu, an 88-year-old nuclear physics scientist, recalled those years with great emotion. He said, "I think this is an era when revolutionary passion is burning. None of the people who participated in manufacturing wanted to do this for their own future, just for the country."

  Although they were engaged in the most advanced scientific undertakings of the country, at that time, their living environment was desolate and backward.

  "Why is dad here? What is Dad doing here? "

  In 1999, the film "Out of the Sky" first presented the tortuous process of developing the first atomic bomb in China to the public.

  Screenwriter Peng Jichao also won the first prize of the second Xia Yan Film Literature Award for his play Malanchao. At this time, Peng Jichao had lived in Malan base for more than 30 years. During this period, he heard too many touching stories and accumulated too many vivid materials.

  But what Peng Jichao remembered most there was a funeral.

  The protagonist of this funeral is not a scientist or a soldier, but a 12-year-old child.

  Peng Jichao told this story in the program "China in the Story".

  The children in Malan base "play with stones from birth, come home every day, take out a handful of stones from their pockets". They have never seen a swimming pool, and they don’t know what swimming is.

  In the 1980s, with the TV in Malan base, children learned from TV that people could swim.

  One summer, the base began to build a fish pond. A heavy rain made the fish pond store more than one meter of water, and the children were in high spirits and went swimming together. Several children swam home after a while, but one of them, Xiao Ming, stayed there before he had enough fun.

  At dinner, Xiao Ming still didn’t go home, and the adults finally found him in the fish pond who had stopped breathing and heartbeat.

  Peng Jichao recalled that this funeral held in the Gobi Desert gathered hundreds of people.

  Xiaoming’s mother has been crying without tears, so she can only whisper over and over again in a hoarse voice: "Xiaoming, you want to eat cookies, but I didn’t buy them for you;" You want to go to the zoo to see animals, but you haven’t been able to do it yet; We don’t have the toys you want in Malan. "

  On that day, the biscuits in the base were sold out, and all the things that children could play with were sold out.

  After that, the first swimming pool was built in Malan base.

  "Malan’s children grew up with their parents in the Gobi Desert, and they sacrificed the most common and common things in life." Peng Jichao sighed, "From small to large, it is just a few Malan trees and a piece of Malan. They think this is their most beautiful place."

  Zhang Lvtian is the son of General Zhang Yunyu, the first commander of China’s nuclear test base. According to his memory, in the early days of the construction of Malan base, the conditions were difficult. Some children told their fathers that they wanted to go to the zoo, but the fathers had no choice but to take their children to the company’s pigsty to play.

  At that time, a classmate of Zhang Lvtian also followed his parents to Malan base. Just after getting off the bus, he saw the Gobi Desert was black and yellow — — The sandstorm is coming.

  The wind roared by and the child was blown away.

  Zhang Lvtian said: "The soldiers chased out two miles before they were recovered, and both of them became natives."

  The mother hugged the child tightly and wouldn’t let go. She asked her husband, "How did you bring us to this terrible place?"

  The child also cried and asked his mother, "Why do we come to this windy place?"

  While dusting the child with dirt, the mother wiped her tears and said, "Because dad is here."

  This sentence has puzzled the child for many years: why is dad here? What’s Dad doing here?

  It was not until 1964 that the puzzle he thought finally got the answer — — Dad’s career is here. Dad’s career is a national career.

  On October 16th, 1964, at 3pm, a bright light appeared in generate, northwest China, and mushroom clouds soared, and China’s first atomic bomb exploded successfully. Since then, People’s Republic of China (PRC) has its own nuclear shield.

  "Forgive my son for being heartless and unfilial, and do my duty for the motherland." This pair of couplets posted on Malan base is the best portrayal of Malan spirit that "everything can be sacrificed, but national interests cannot be sacrificed".

  Today, a monument symbolizing nuclear test and peace stands in Malan Martyrs Cemetery, where more than 400 revolutionary martyrs are buried. Among them, there are military generals, ordinary officers and men who died in the line of duty, and scientists who died from overwork. At the end of their lives, they still chose to go back there to witness the immortal inheritance of Malan spirit. (Text/Kan Chunyu)