南京新茶外卖论坛

　　Hejia Eco-agricultural Industrial Park in Liujiaping Bai Township adopts the business model of "company+base+farmers", and farmers are both employees and shareholders. At the scene, local farmers introduced the book of riches to reporters.

　　Liujiaping Bai Township has accelerated the action plan of "Sunshine Housing" for precise poverty alleviation, and intensified the construction of "Sunshine House". In 2016, the township completed the construction goal of 10 sets of "Sunshine Houses" and gradually solved the housing security problem of poor households.

　　Red Net Zhangjiajie Sub-station February 27th(Reporter Chen Xiao, Wen Zhuo) At the report meeting on the work of getting rid of poverty in Zhangjiajie City, Qi Zhenggui, secretary of the Zhangjiajie Municipal Party Committee and director of the Standing Committee of the Municipal People’s Congress, said: "The work of getting rid of poverty is an urgent task, and it is a tough battle that must be won. All party member cadres should always put the people in difficulty in their hearts, shoulder the responsibility of getting rid of poverty, and embody the purpose of practicing the party on’ feet covered with mud’."

　　Both feet are covered with mud, which is the standard for leading cadres and poverty alleviation teams to measure village conditions and understand public opinion. On February 27th, the reporters and Internet VIPs of the series of network theme activities of "Meeting the 19th National Congress of the Communist Party of China", like the poverty alleviation task force, also went deep into the grassroots and came to the Bai nationality township in Liujiaping, Sangzhi County, and walked into this red land, stepping on the soil and feeling the road of Sangzhi people to get rid of poverty and run towards a well-off society.

　　Industrial support to stimulate the function of poverty alleviation and hematopoiesis

　　"Now that we have a job, we can go to work, 60 yuan a day, how much we do, and take a few days off when we are tired, which is much better than before." Xiong Caiyun, who is working in the vegetable base of Zhangjiajie Hejia Ecological Agriculture Park in Liujiaping Bai nationality township, said happily.

　　Once upon a time, the peasant women like Xiong Caiyun in Liujiaping Bai nationality village only planted some millet and corn at home to earn some money. In 2016, the 23rd batch of poverty alleviation task forces of Hunan Military Region stationed in Sangzhi attracted investment to introduce Zhangjiajie Hejia Ecological Agriculture Industrial Park into Liujiaping Bai Township, creating a demonstration park of precision poverty alleviation ecological agriculture industry. The park was built at the beginning of the year, with a total area of 1,023 mu. It mainly focuses on vegetables, fruits, aquaculture, agricultural leisure and sightseeing, and adopts the business model of "company+base+farmers", and implements contract production and acquisition, so that local farmers also benefit. The industrial park has transferred 523 mu of land in six villages in Liujiaping Bai Township at the price of 600 yuan per mu per year, which has made 143 villagers earn a total of 313,800 yuan per year, including more than 140 mu of land transferred to 73 poor households, with an average income of 1,150 yuan per household. Among them, Xinqiao village shares through poverty alleviation funds, and village collectives and individuals can share dividends according to operating benefits. Last year, Hejia Eco-agricultural Industrial Park implemented the strategy of industrial poverty alleviation, and integrated 200 million yuan into the construction of industrial districts, effectively driving 17,000 poor people to increase their income and get rid of poverty.

　　Implementing the "Three Guarantees of Sunshine" Project according to the policy of households.

　　Accurate poverty alleviation, poverty alleviation, focus on precision, and persistence.

　　When asked about the ways and policies of poverty alleviation in the township, Gong Zhaojun, secretary of the Party Committee of Liujiaping Bai Township, was particularly embarrassed. She said, "Our township governs 6 administrative villages and 114 villagers’ groups, with a total population of 11,866, including nearly 3,000 poor people in the system. We have formulated different policies and poverty alleviation methods for each family. Some villagers live in the mountains, and it is inconvenient to use water and travel. We first realize poverty alleviation and relocation to help him solve the housing problem. Some villagers have no income.

　　Walking into the Sunshine Garden in Xinyang Village, Liujiaping Bai Township, rows of houses are located between Qingshan and Xiaoxi, and the blessings posted outside the door are all filled with happiness and warmth.

　　"The party’s policy is good, and we live well now … …” The 75-year-old Xiong Tinghua lives alone. There are seldom so many guests at home. Standing in the living room of his small home, he happily sang songs to us.

　　Xiong Tinghua is the only widowed old man in Xinqiao Village. The "Sunshine House" where he lives is the "Sunshine House" housing project implemented by the poverty alleviation team of Hunan Military Region for the homeless and dangerous households in the village. There are more than 10 villagers in Xinqiao Village like Xiong Tinghua who are unable to improve their living conditions. By the end of this year, these villagers will carry bags for free and stay in rooms with basic furniture and living facilities such as beds, cabinets, televisions and cookers.

　　In addition to the Sunshine Housing Project, the Sunshine Education Project and Sunshine Medical Project were also implemented. Investigate and review all the students in the township who study in poverty-stricken households who have established files. 633 students completed the "Sunshine Aid", implemented the "Rain and Dew Plan" and sponsored 3 students. One student enrolled in the 3303 factory of the People’s Liberation Army for free. 3 students attending Changsha Normal University free of charge; More than 98.1% of the residents in the township participated in the cooperative medical care, and the participation rate of poor households was 100%. 589 people were rescued by "Sunshine Medical Care", and this year, 303,800 yuan was saved for poor households to solve serious illness.

　　Red tourism makes Sangzhi embark on a new journey of getting rid of poverty and becoming rich.

　　Rural tourism is the most realistic, direct and effective way for the poor to get rid of poverty. Relying on the historical background and rich red resources in the old revolutionary base areas, the construction of a red tourist town in Liujiaping has begun, and an 80-mu flower sea is about to be built, which is organically connected with Hejia Agricultural Ecological Industrial Park and integrated with tourism to "stay" tourists, which not only realizes industrial poverty alleviation, but also expands the influence of Liujiaping’s red culture, and actively exerts the social effect of "helping a village, driving a township and radiating a county".

　　Sangzhi county, as a national key poverty-stricken county, is the most difficult "hard bone" for Zhangjiajie to get rid of poverty. In 2016, Sangzhi County thoroughly implemented the central, provincial and municipal decision-making arrangements, solidly promoted poverty alleviation, highlighted accurate identification and precise policies, comprehensively promoted the "5562" action plan for poverty alleviation, arranged 104 supporting units to help 124 poor villages in villages, sent 8,805 cadres to help 37,000 poor households in pairs, and integrated 460 million yuan of agriculture-related funds for precise poverty alleviation, thus realizing the withdrawal of six villages.

　　In 2017, Sangzhi County will take the road of "tourism integration, industrial poverty alleviation and green development", cling to "tackling poverty" and "all-round well-off", give full play to the function of "tourism+",actively integrate into Zhangjiajie tourism economic circle, develop global tourism, and strive to build a new highland for tourism development on the west line of Zhangjiajie, a new base for the production of ecological health products, and a new blessed place for the people in the old areas to live a well-off life. By 2020, At the same time, we will continue to exert our efforts in compacting work responsibilities, implementing industry-driven, improving infrastructure, ensuring public services, and strengthening grassroots organizations. We will push forward the "5562" action plan to get rid of poverty, and the standards will not be lowered. We will work hard to take off our hats in 2018 and ensure that we will take off our hats in 2019.

　　On November 19, 1935, the Red Army Corps took the first step of the Long March in Liujiaping Township, Sangzhi County. Now, 81 years later, Sangzhi County has started a new journey to get rid of poverty and achieve a well-off society in an all-round way.

In interpersonal communication, the feelings between men and women are often complicated and subtle, and sometimes there will be some unpleasant situations.

This paper will discuss several manifestations of bad feelings between men and women to help you better identify and deal with related problems.

First, communication barriers
An obvious manifestation of bad feelings between men and women is communication barriers. When two people are no longer willing to listen and understand each other, feelings begin to have problems. Communication barriers can be manifested in the following aspects:

1. Lack of patience: When one party encounters problems or difficulties, the other party may have no patience to listen and give support and understanding.
2. Inappropriate words: The two sides may hurt each other’s feelings because of improper words, leading to the escalation of contradictions.
3. Lack of trust: The lack of trust between men and women leads to the reluctance of both sides to share their innermost thoughts and feelings.

Second, indifference and alienation
Another manifestation of bad feelings between men and women is indifference and alienation. When both sides no longer care about each other’s life and feelings, feelings begin to fade. The performance of indifference and alienation can include the following aspects:

1. Ignore each other’s needs: Both parties may no longer care about each other’s needs and feelings, resulting in unhappy life together.
2. Reduce intimate contact: Close contact between men and women is one of the important ways to maintain feelings, but when the two sides are unwilling to have intimate contact again, feelings begin to have problems.
3. Avoid discussing sensitive topics: Men and women may avoid discussing sensitive topics, which will deepen the gap between them.

Third, blame and attack each other
Another manifestation of bad feelings between men and women is mutual accusations and attacks.

When both sides began to criticize and accuse each other, feelings began to be hurt. The manifestations of mutual accusations and attacks can include the following aspects:

1. Constantly criticize each other: Both sides may constantly criticize and accuse each other, leading to the deterioration of feelings.
2. Ignore each other’s advantages: Both sides may only focus on each other’s shortcomings and shortcomings, but ignore each other’s advantages and strengths.
3. Create contradictions: Both parties may deliberately create contradictions to avoid facing emotional problems.

Fourth, lack of support and understanding
Another manifestation of bad feelings between men and women is the lack of support and understanding. When the two sides are no longer willing to support and understand each other, feelings begin to have problems.

The lack of support and understanding can include the following aspects:

1. Don’t care about each other’s work and study: Both parties may not care about each other’s work and study, resulting in a lack of common topics and support when living together.
2. Disrespect for each other’s hobbies and interests: Both parties may not respect each other’s hobbies and interests, resulting in lack of common ground and interaction in living together.
3. Don’t understand each other’s emotions and pressures: Both parties may not understand each other’s emotions and pressures, resulting in failure to provide support and comfort in difficult times.

Five, don’t respect each other’s privacy

Another manifestation of bad feelings between men and women is disrespect for each other’s privacy.

When the two sides no longer respect each other’s privacy, feelings begin to have problems. The performance of not respecting each other’s privacy can include the following aspects:

1. Look at each other’s mobile phones or personal belongings at will: Both parties may look at each other’s mobile phones or personal belongings at will, causing the other party to feel uneasy and disrespectful.
2. Constantly questioning each other’s whereabouts and activities: Both parties may constantly question each other’s whereabouts and activities, causing the other party to feel monitored and not free.
3. Ignoring each other’s private space needs: Both parties may ignore each other’s private space needs, resulting in a lack of comfort and freedom in living together.

Summary:
There are various manifestations of bad feelings between men and women, but they can mainly be attributed to communication barriers, indifference and alienation, mutual accusations and attacks, lack of support and understanding, and disrespect for each other’s privacy.

When these manifestations appear between men and women, it is necessary to take timely measures to improve and maintain emotional relationships.

This includes strengthening communication, mutual understanding and support, respecting each other’s privacy and trying to solve contradictions and problems. Only with joint efforts can the relationship become healthier, more stable and longer.

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The 5th China International Import Expo officially kicked off. The global pioneer of precision radiotherapy, Medtronic, made an appointment for five consecutive years, and launched a new generation of intelligent, precise and intelligent whole-process adaptive radiotherapy solution Elekta Harmony Pro on the spot. Through the comprehensive upgrade of the three dimensions of intelligence, whole-process and self-adaptation, it injected vitality and new kinetic energy into the efficient, accurate and personalized development of radiotherapy.

Elekta Harmony Pro, a new generation of intelligent, precise and intelligent whole-process adaptive radiotherapy solution, is the world premiere.

Innovation and simplification of design

Under the background that the global cancer incidence continues to rise, patients’ demand for radiotherapy is rising, and hospital service resources are limited, the rapid development of machine deep learning and artificial intelligence has become a powerful booster to improve the treatment efficiency and optimize the treatment effect, which has also given birth to a new generation of intelligent whole-process adaptive radiotherapy solutions.

Elekta Harmony Pro is equipped with the industry’s innovative holographic radiotherapy command center, which leads the operation convenience, treatment efficiency and safety to a higher level through minimal design, process optimization and algorithm upgrade. With the blessing of artificial intelligence and big data technology, Elekta Harmony Pro’s new human-computer interaction interface can realize the visualization of patient information, the operation process is simple and friendly, and the operation efficiency is increased by 50%. This solution will greatly improve the diagnosis and treatment efficiency of hospitals and radiotherapy institutions, and meet the actual needs of patients for high-quality and fast medical experience.

All-round speed-up of whole process management

Elekta Harmony Pro has been upgraded in three levels of "whole process, all staff and all diseases" to accelerate the efficiency from equipment manufacturing to clinical diagnosis and treatment. Based on the deep insight of 40 years of deep cultivation in China, Medtronic has perfectly integrated the international cutting-edge technology with the local demand. The delivery cycle of Elekta Harmony Pro has been shortened from the traditional 8 weeks to 2 weeks, effectively reducing the time cost of various clinics and making advanced equipment benefit patients at a faster rate.

With the excellent "hard power" empowered by artificial intelligence, Elekta Harmony Pro combines rich automation functions with precise and perfect treatment technology, which not only makes clinical collaboration more efficient, but also makes the patient’s treatment process more comfortable and convenient. The solution covers multiple diseases of tumors all over the body, and meets the individualized clinical treatment needs of different patients. The AI artificial intelligence target delineation technology adopted by the solution greatly shortens the target delineation time from tens of minutes to a few seconds, with high efficiency and higher accuracy; With the functions of intelligent positioning, automatic planning and automatic quality control, the operation efficiency of medical staff can be improved in an all-round way, and the personalized adaptive treatment process can be shortened to 10 minutes. In addition, Elekta Harmony Pro is equipped with the function of Doctor Remote Wisdom Office (RT Viewer), which supports real-time connection of multiple doctors to evaluate and confirm the treatment plan, so that high-quality radiotherapy treatment is no longer constrained by geographical and resource constraints.

On-line adaptive precision re-upgrade

As the most accurate adaptive radiotherapy solution in the whole process, Elekta Harmony Pro focuses on six treatment links: patient information identification, intelligent positioning, high-definition image guidance, automatic treatment plan, precise treatment and in-vivo real-time dose monitoring, and achieves more reliable and stable adaptive radiotherapy effect with "six precisions".

Before the start of treatment, the artificial intelligence technology carried by Elekta Harmony Pro can quickly identify and verify the patient information, link the complete diagnosis and treatment information, and automatically complete the patient placement with one click; During the treatment process, Elekta Harmony Pro will dynamically monitor the patient’s posture in the whole process, quickly capture the submillimeter displacement, and cooperate with a series of advanced image technologies and intelligent algorithms in the industry to truly realize the visualization, automation and standardization of gross tumor volume sketch and motion management, so that the tumor can’t hide. In addition, Elekta Harmony Pro can monitor the patient’s irradiation dose in real time to ensure that the dose is accurate. It can protect organs to the maximum extent and reduce radiation toxicity while irradiating gross tumor volume with high dose and high precision, and accurately protect the life and health of tumor patients with intelligent technology.

Gustaf Salford, president and CEO of Medical Corporation, said: "In the past five years, China International Import Expo(CIIE) has become the first place for many new products, the first place for cutting-edge technologies and the first place for innovative services in the world. We are honored to be the world’s first medical expert Elekta Harmony Pro, a new generation of intelligent and accurate radiotherapy solution, in China International Import Expo(CIIE). Medtronic will adhere to the patient-centered belief and continue to benefit more patients with global and local innovations. "

Gong Anming, global executive vice president and president of China, stressed: "As a foreign-funded radiotherapy enterprise that has been deeply involved in the China market for 40 years, Medtronic will continue to innovate according to local conditions, devote itself to deeply serving the radiotherapy industry in China with the world’s leading intelligent and precise radiotherapy technology, and constantly push the radiotherapy industry into a new era with a new round of technological upgrading, helping the grand goal of’ Healthy China 2030′ to be realized at an early date."

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

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

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

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

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

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

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

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

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

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

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

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

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

Proof automatic driving than people safety, do we need 500 years? According to the Land Society, the automatic driving system must accumulate at least 17.7 billion miles of mileage tests, which requires 100 cars for 24 hours to test for 500 years. The birth of the automatic simulation system finally allowed the car company to achieve a million kilometers of tests, simulating various extreme situations, providing more solving ideas for automatic driving safety issues.

At present, the mainstream automatic driving simulation system is mostly based on the game engine, which also makes the giants in the game field have many natural advantages in the automatic simulation driving, such as this year.TencentThe 2021 Tencent Game Developer Conference organized by the game school has appeared on the automatic driving special speech; with BAT andHuaweiIn the admission, the simulation system will become the last technical highland in the automatic driving area?

The current program, Tencent Automatic Driving Simulation Technology, Sun Chi Tian, ??and "SoundJoint founder Xu Tao commonly discussed, how to apply in the automatic driving area, which is important in the field of automatic driving simulation, and this area will go to the old players and new players.

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▼ anchor
Xu Tao, "Sound Lively" founder / producer

▼ guest
Sun Chi Tian, ??Tencent Automatic Driving Simulation Technology Director

▼ main topic
[00:30] What is the relationship between game technology and automatic driving?
[09:54] Which companies use game technology to automatically drive simulation systems?
[22:06] What is the characteristic of players currently involved?
[31:50] What stage is automatically driving?
[36:00] What segmentation fields will be used in game technology?

▼ Extend reading
Unrealopenday2020 Unreal Engine Helping Automatic Driving Simulation | Tencent Automatic Driving Sun Chi Tian
Aads: AUGMENTED Autonomous Driving Simulation Using Data-Driven ALGORITHMS
ISO / PAS 21448: 2019 Road Vehicles – Safety of The Intended FunctionAlicity
Industrial Simulation: Through computer graphics, virtual reality, etc. universal.
Game Engine: Refers to the software components that can be reused and expanded when the game is developed. This concept appeared in the 1990s ID Software launched FPS game "Destruction Warrior". After gaining the authorization of the game engine, the game developer does not need to make a lot of modifications to the engine, you can create similar new games through lower cost. The game engine has currently been applied to the development of the simulation test system.
Unknown Unsafe: Refers to "Unknown Non-Secure Scene" under the ISO21448 "Expected Function Safety" standard, due to the randomness and complexity of the automatic driving application, when designing the automatic driving function, there is difficult to define, evaluate difficult quantization It is one of the main sources of security risks. In this scenario, if the driver is not intervened in time, it is prone to traffic accidents.

▼ music
Quest for the Skies-Christoffer Moe Ditlevsen

▼ staff
Monitor ^ Liu Can
Later period ^ Luke
Operation ^ Yao
Cover design ^ rice

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▼ About TGDC 2021
The 2021 Tencent Game Developer General Assembly (TGDC) has been held on November 24th to 26th, in addition to the guest Sun Chi Tian shared the frontier application of game technology in the automatic driving area at the conference, and from Tencent, EPIC Games CHINA, Robus and other enterprises have well-known experts and scholars in this event, share the latest research and development experience and industry observations in this event. If the small partner wants to learn more about the development of the game technology and cross-border use, you can go to Tencent Games School official website to search for relevant speech videos, link here ().