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)

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

　　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.

　　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.

　　"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)

On the 3rd, senior three students from Huainan No.2 Middle School in Anhui Province studied by themselves last night. Photo by Chen Bin (People’s Vision)

On the 4th, the caring driver in Hohhot, Inner Mongolia, put the vehicle with the words "Come on" to encourage the college entrance examination students. Photo by Ding Genhou (Image China)

　　Core reading

　　July is coming, and the 2020 college entrance examination will come as scheduled. A sudden epidemic makes this year’s review preparation particularly unusual. With the efforts of schools, families and all walks of life, candidates overcome all kinds of difficulties and sprint for their dreams. How to ensure that candidates can enter the examination room safely, successfully finish the examination papers and fill in their volunteers in an orderly manner? As always, all parts of the country are working hard to launch a relay to protect the college entrance examination.

　　On July 7th, 10.71 million candidates from all over the country will take the college entrance examination. This year’s college entrance examination is a college entrance examination under the background of the normalization of epidemic prevention and control in COVID-19, and it is also a college entrance examination in which the reform of the examination enrollment system has entered a critical period. More than 7,000 test sites and 400,000 examination rooms are waiting. The majority of college entrance examination candidates will gain growth in this special college entrance examination season.

　　Ping’ an examination

　　The most stringent measures, strengthen the examination epidemic prevention.

　　"The number of candidates in each examination room has been reduced from 30 to 20. Candidates who have temporary symptoms such as fever on the day of the exam will be arranged to take the exam in the standby examination room … …” A few days ago, Li Yi, deputy secretary of the Municipal Education Commission and spokesman of the Municipal Education Commission, introduced the epidemic prevention and control work in novel coronavirus.

　　"Strengthen the examination and epidemic prevention with the strictest measures." According to the relevant person in charge of the Ministry of Education, all localities have conducted daily temperature measurement and physical health monitoring for candidates and examiners 14 days in advance. All test sites are equipped with sufficient epidemic prevention materials as required, and isolation examination rooms and isolation facilities are set up. In principle, every 10 ordinary examination rooms shall be set up with one spare isolation examination room (not less than 3 for each examination center).

　　The test center shall measure the body temperature of all the people who enter the test center, and they can only enter the test center below 37.3℃. The test center will set up a arbor and a re-examination room for those with abnormal body temperature, etc., for the people to be tested to prepare for the test and for those who fail to pass the test to take a short rest and adjust. Under the guidance of local health departments and disease control institutions, all test sites, examination places, passages, areas, tables and chairs will be cleaned and disinfected, and the completion signs will be clearly posted. Candidates with fever and cough will be transferred to the standby isolation examination room according to the established procedures.

　　"Each test center will organize candidates to leave the venue in an orderly manner, so as to achieve the wrong peak at the wrong time, keep the distance and avoid crowding. Examiners shall hand over examination papers, answer sheets, draft papers and other examination materials in an orderly manner as required. After the exam every day, each test center will also do a preventive disinfection of the examination room. Strictly implement closed management of marking points or marking areas, and implement a daily zero reporting system for marking teachers’ health status. " The relevant person in charge of the Ministry of Education introduced.

　　All localities are taking strict measures to ensure a healthy and safe college entrance examination.

　　Beijing requires all examination staff to carry out nucleic acid testing before the exam, and strictly implement epidemic prevention measures such as registration of health status of candidates and examination staff, wearing masks throughout the exam, disinfection and ventilation of the examination center, and temperature check on admission.

　　Zhejiang implemented health monitoring management for candidates for 14 days before the exam, and immediately conducted "one-on-one" tracking when abnormalities were found. All candidates must enter the examination room with "temperature measurement+health code", and the candidates with abnormal temperature will be arranged according to the response plan.

　　Jinniu district, Chengdu City, Sichuan Province requires candidates to make a unified health registration on the provincial examination platform, and show their 14-day temperature test table, flow chart and health code when receiving the admission ticket.

　　"In order to create a cool environment for candidates, we require all the examination rooms without air conditioning to be installed." Li Yuping, director of the Education Bureau of Pingxiang City, Jiangxi Province, said that each test center in Pingxiang City is equipped with a staff member of the health department as the deputy examiner, as well as four doctors, an expert in disease control and epidemic prevention, an electrician and a college entrance examination equipment technician.

　　Wenxin examination

　　All-round care, providing multiple guarantees

　　"Careful thinking and hard work, stick to the end and surprise!" On the blackboard of senior three classroom in Jiyuan No.1 Middle School, Henan Province, there is a "sentence before the exam" written by the teacher every day. In addition to the scores corrected in red ink, there is also a warm sentence on the examination paper: "You are a thoughtful and talented child." "Come on! I am optimistic about you as always. "

　　"It is necessary to ensure good health and not to ignore the mental health of students." During the interview, the senior three teachers in Duodi said that it is an important part of teachers’ work to always pay attention to the psychological situation of candidates, strengthen psychological counseling before the exam and guide candidates to release anxiety.

　　On the eve of the college entrance examination, Jinan City, Shandong Province opened a "student psychological care hotline", and full-time psychological counselors provided services 24 hours a day. Wang Xiangyu, director of the Department of Ideological and Political Work of Jinan Education Bureau, said, "We selected 18 outstanding psychological counselors and psychologists in the industry to provide professional help".

　　"Teacher, can I live in the teacher’s dormitory during the college entrance examination?" Not long ago, Wang Wen quietly asked Zhou Zhihong, the head teacher, in Class 1, Grade 3, Jinkou Middle School, Jiangxia District, Wuhan City, Hubei Province. Wang Wen’s family situation is quite special. Her father works in other places, her mother can’t live without her grandmother who is seriously ill, and there are young brothers and sisters at home. Jinkou Middle School, after asking the education authorities for instructions, decided that students whose parents could not take the exam should be accompanied by school teachers. Responsible teachers keep candidates’ certificates, guide candidates to go to bed early and get up early, and give psychological counseling to students every night.

　　"It is lucky and happy to have someone to help you at the most critical time in life." A student from Wuhan No.23 Middle School wrote in his diary. Accompanied by love and guarded by teachers, the teacher-student relationship in the third year of senior high school is particularly precious.

　　In order to ensure a safe and warm college entrance examination, the reporter learned from the Ministry of Education that all localities have further strengthened their protection in transportation, noise control, heatstroke prevention and cooling, information security, etc. Under the guidance of the health and health departments, they have made overall plans to do a good job in heatstroke prevention and cooling in the examination room and try their best to create a cool examination environment for candidates. The public security department has opened up a green channel for college entrance examination candidates to apply for identity cards. At the same time, in view of the frequent occurrence of heavy rainfall, floods and typhoons in some areas in July, the relevant localities have focused on refining the special plans for dealing with natural disasters and organized emergency drills to ensure that they are prepared and effectively disposed of.

　　Fair college entrance examination

　　Check the whole process to prevent exam fraud.

　　A few days ago, Liaoning public security organs detected a cheating case involving the college entrance examination organization and withheld a batch of cheating equipment. Anhui and Henan public security organs took the initiative to attack during the classified entrance examination and art joint examination in higher vocational colleges, and cracked many cases of cheating in examinations organized and implemented through the Internet.

　　In addition, the network security department of the public security organs also investigated and dealt with a number of online self-media accounts that spread rumors of the college entrance examination according to law, and severely punished the publishers of rumors that seriously disrupted the order of the examination according to law.

　　According to reports, in order to ensure the sunshine college entrance examination and fair college entrance examination, all localities have further improved the working mechanism of joint defense, joint control and joint management, intensified prevention and crackdown, and made every effort to ensure the safety of the examination.

　　Ensuring the security and confidentiality of test papers is the most important thing. The Ministry of Education requires all localities to strictly carry out the whole process inspection, and implement multi-control in one post and joint defense of personnel and technology in the test work links such as test paper life system, printing, transportation and storage, so as to realize video monitoring without dead ends in the whole process of test paper operation and ensure the safety of test papers. At the same time, crack down on exam fraud.

　　"This year, all localities will further strengthen the admission management of test sites and actively adopt various testing methods to prevent high-tech cheating tools from entering the examination room; Take measures such as multi-card checking and man-machine comparison to prevent substitute exams. At the same time, strict selection of examination staff, strict implementation of examination regulations, timely detection and disposal of fraud in the examination room. " The relevant person in charge of the Ministry of Education introduced.

　　"With the most rigorous procedures, ensure fair enrollment. In response to the hot and difficult issues that the masses care about, we will improve the system rules, plug loopholes with heavy punches, and earnestly safeguard the fairness and justice of college enrollment. " The relevant person in charge of the Ministry of Education introduced: It is necessary to tighten the cage of the system, implement the enrollment bans such as "six prohibitions", "ten prohibitions" and "30 prohibitions" in college enrollment, and ensure that the enrollment process is strictly regulated. Adhere to the "sunshine enrollment", strengthen the social supervision of college enrollment, establish a multi-level enrollment information disclosure system at the national, local and school levels, and conscientiously implement the "ten publicity" of enrollment information.

　　"Increase the supervision and inspection of illegal enrollment, and insist on finding together, investigating together, and zero tolerance. Seriously carry out the re-examination of freshmen’s admission, and resolutely cancel their admission qualifications and deal with them seriously for those freshmen who resort to fraud, cheat in exams, cheat extra points or attempt to impersonate; Those who register for school will cancel their school status and will not be electronically registered as freshmen; At the same time, cooperate with the public security, discipline inspection and supervision departments to check the end and investigate the responsibilities of relevant personnel according to law. " The relevant person in charge of the Ministry of Education introduced.

　　Reporter Zhao Yina Zhang Shuo (Yang Xiao mystery participated in writing)

these two days

Do you have a cold wind and snowflakes rustling there?

Winter has arrived, and everything is hidden.

Flip through ancient books

Once again intoxicated with the beauty of ancient Chinese!

Everything in the world, vegetation falling, spring, summer, autumn and winter

All have unique and elegant names endowed by the ancients.

12 nicknames about winter

Meet twelve winter scenes in Linxia.

What kind of romantic collision will there be?

Let’s have a look!

The ancients took October of the lunar calendar as Meng Dong, November as Midwinter, and December as Ji Dong, and collectively referred to the three months as "three winters" to refer to winter.

There are 90 days in three months in winter, so winter is also called "Nine winters".

"Strict" has the meaning of "deep degree", so "severe winter" has become another generation of extremely cold winter.

Everything is depressed in winter, and it is cold between heaven and earth, so winter is also called "clear winter".

"Xuan" is black. In ancient times, the four directions were the four seasons, and the northern winter was black, so winter was also called "Xuandong".

"Poor" means nothing. Winter is the last season of the year, so it is called "poor winter".

In ancient times, spring and summer were sunny, autumn and winter were cloudy, and winter was the last season of the year, so it was called this.

"Sui Shu Records Fifteenth Astronomical Seven Obsidian" contains: "The sun travels eastward along the ecliptic, once a day and once a night, 365 days are strange and Sunday. Traveling to the east is called spring … Traveling to the north is called winter ".

Er Ya Shi Tian says, "Winter is Xuan Ying". Therefore, it is called winter by later generations.

Note: Xuan, color of winter, sequence, season. Use "Xuan Xu" to call winter people.

Source: The Book of Beginners, Volume III, quoted the Compilation of Emperor Liang Yuan of the Southern Dynasties: "Winter is called Xuan Ying … Festival is called Yan Festival."

The ancients had the so-called "three redundancies" in reading. The rest: in winter, after the year, in the night, after the day, and in rainy days. The winter reading in "spare time" is the best.

Source: Linxia Zhourong Media Center

Editor: Ren Li

Check: Zhang Haipeng.

Original title: "What kind of romantic collision will there be when the elegant name of winter meets the winter scenery of Linxia? 》

Read the original text

Image source: the idea of the worm

Zhu Hanqi, intern reporter of Economic Observer Network　　On January 9th, KPMG China released the "2023 KPMG China Financial Technology Enterprises Double 50 List" and the annual trend report.

Huang Aizhou, managing partner of KPMG China Financial Technology, said that in the process of digital transformation of the financial industry, there are unique advantages in the three pillars needed for the vertical model of the industry: algorithm, computing power and data. The financial industry has mastered a large number of historical data and written materials, which provides natural convenience for the development of the industry model; In the process of financial digitalization and intelligence, financial technology enterprises have also formed unique solutions in terms of algorithms and computing power.

The report analyzes the listed enterprises in five dimensions: professional field, city and region, main technical elements, proportion of technical personnel and establishment time.

In the distribution of professional fields, platform technology empowerment and wealth technology rank first and second, Pratt & Whitney technology and insurance technology rank third, and AI and blockchain are still the core technologies in the underlying technologies.

In terms of urban and geographical distribution, Beijing, Shenzhen and Shanghai rank in the top three, and Chengdu ranks fourth for the first time. Tan Wei, chief partner of KPMG in China, Sichuan and Chongqing, said that in recent years, Chengdu has incorporated financial technology into the category of "building a circle and strengthening a chain" and become one of the 28 key industrial chains, forming an ecological layout that integrates Chongqing, links the whole country and sails the whole world.

In the distribution of main technical elements, the types of technical elements are more colorful, and the proportion of technical elements such as safety, credibility and large-scale correlation is obviously improved.

In terms of the proportion of technical personnel, 70% of the listed companies have more than 40% technical personnel, thus occupying an advantageous position in the fierce market competition.

In terms of the time distribution of enterprise establishment, the proportion of listed enterprises established for more than 10 years in 2023 has increased, and more enterprises that have been deeply involved in this field for a long time have continuously consolidated their market position by optimizing data processing, increasing transaction rate, simplifying financial service processes, and innovating financial products and services.

In addition, the report also puts forward nine major trends:

Trend 1: The development of financial macro-model will have a far-reaching impact on the paradigm of financial technology industry (annual trend). In the era of mobile internet, domestic manufacturers are actively developing the layout of financial big models, and relevant enterprises need to build competitive advantages by virtue of "having data" and "understanding scenarios". In the future, the wide application of financial macro-model will have the following changes: the change of AI cognition and concept, reshaping customer service process and experience, improving risk management, improving financial service efficiency and innovating financial business forms.

Trend 2: Science and technology investment pays more attention to output energy efficiency, and peer-to-peer science and technology output changes to ecological empowerment mode (integrated financial technology). Comprehensive financial technology enterprises pay more attention to business orientation and precise focus in objectives and methods, and change from technical empowerment to all-round ecological empowerment in service direction.

Trend 3: AI helps to innovate wealth management, and the core system of the organization is autonomous and accelerated (wealth technology). Wealth technology enterprises provide support for wealth management business scenarios such as investment, research and marketing, and will explore more application scenarios of large models to improve efficiency and service upgrade.

Trend 4: Insurance technology has evolved into risk reduction management, and the service boundary (insurance technology) has been continuously expanded in combination with industrial upgrading. Insurance technology companies turn the original uninsurable risks into insurable risks, and penetrate technology into the development process of all walks of life, which leads to new risk management demands.

Trend 5: Digital symbiosis and digital platform services accelerate the development of inclusive finance (Pratt & Whitney Technology).

Small and medium-sized enterprises access digital resources through the digital service platform, build a digital intelligent business process, meet the rapidly changing market demand, and accelerate the digital intelligent transformation of small and medium-sized enterprises.

Trend 6: Multi-parties join hands to expand the new blue ocean of supply chain finance, and scene product innovation is emerging (supply chain technology). The supply chain science and technology platform has accelerated its efforts in the scene business. It is expected that there will be more scene-based innovative products based on data credit in the future, and the traditional confirmation mode will begin to weaken.

Trend 7: Mobile payment innovation scenario application, cross-border payment opens up a new chapter in the sea (payment technology). The third-party payment platform at the C end expands its business by exploring new scenes and product innovation, and the mobile payment platform at the B end provides integrated services based on payment functions. The cross-border payment platform will also provide customers with integrated services to enhance customer stickiness.

Trend 8: Regulatory technology is expected to improve regulatory efficiency with the help of large models (regulatory technology). The development of regulatory technology will rely more and more on scientific and technological means to achieve more efficient and accurate supervision.

Trend 9: A new round of development opportunities will be opened, and a big article on digital finance (platform technology empowerment) will be done with the tide. At the present stage, the trends of innovation and going out to sea are highly certain, and the actions of "data elements ×" and "high-quality development of computing infrastructure" are steadily advanced, and the opportunity of technological change is expected to drive the sustained release of China’s financial technology value.