Chapter 340 Bone marrow smear, strange red spots! [Seeking monthly votes! ]



There are generally four types of people in the obstetrics department.

One is a doctor, two is the pregnant woman, three is the family members, and four is the postpartum nanny and other such personnel.

Which category does the deceased belong to?

Pregnant woman?

At present, it does not appear to be a case of pregnancy. Although the deceased was indeed pregnant before her death, the child in her womb had already died. It was a dead...

####The ultimate goal of the data transparency program

As the "Personal Data Sovereignty Platform" gradually improved, Xu began to think about how to further deepen this plan. He realized that although users can control the flow of their own data, many ordinary people are still confused by the complex privacy policies and data usage terms. In order to solve this problem, "Mei Luo Wang" decided to launch a new feature - "Data Vernacular Interpreter".

This tool automatically converts any obscure data agreement into easy-to-understand language and presents it to users through voice, animation, etc. For example, when an e-commerce platform requests access to a user's shopping preferences, the system will tell the user in a simple and clear way: "This website wants to know what you like to buy so that it can recommend more similar products to you." In addition, a risk warning will be attached: "Please note that sharing this information may lead to advertising harassment."

In order to ensure the accuracy and authority of the interpretation content, "Mei Luo Wang" cooperated with linguistics experts from many universities to jointly develop a set of standardized translation rules. At the same time, they also introduced artificial intelligence technology to enable the interpreter to quickly adapt to various new data scenarios.

However, this new feature has also sparked some controversy. Some companies believe that overly straightforward descriptions may cause some users to misunderstand normal business activities, thus hindering the development of the industry. In response to this, Xuoho said in a public speech: "We are not trying to restrict the legitimate rights and interests of companies, but hope to help users make more informed choices through transparency. Only by establishing a true trust relationship can the market develop healthily and sustainably."

At the same time, "Mei Luo Wang" also launched an event called "Data Education Popularization Month". During this month, they will go to schools, communities and companies to spread data security knowledge to the public through lectures, workshops, etc. A high school student who participated in the event said: "I always felt that privacy protection was far away from me, but now I have learned how to protect my own information, and I can even teach my parents how to use these tools."

####In-depth optimization of the national proposal platform

Although the "National Proposal Investment Fund" has achieved remarkable results, Xuoho has not stopped exploring. He noticed that although the fund has provided support for many excellent proposals, in the actual implementation process, many projects still failed to achieve the expected results due to lack of follow-up. Therefore, he proposed to set up a special "Proposal Evaluation Committee" to monitor the progress of each project and adjust resource allocation in a timely manner.

The committee, which is composed of representatives from the government, academia and non-governmental organizations, will hold regular meetings to analyze the implementation of various proposals. If a project encounters difficulties, the committee will quickly coordinate relevant resources to provide assistance; if a project is found to have deviated from its original intention, it will take decisive measures to correct it.

In order to improve the efficiency of the committee's work, Meiluowang has developed an intelligent management system. This system can collect the operating data of each project in real time and generate detailed reports for the committee members to refer to. For example, for a proposal aimed at improving the public transportation experience, the system will record daily passenger flow changes, user satisfaction scores and other indicators to help decision makers understand the actual situation more comprehensively.

It is worth mentioning that with the support of this mechanism, an environmental protection project that was on the verge of failure successfully reversed. The original goal of the project was to use waste plastic to make degradable flower pots, but it was delayed due to technical and financial problems. With the help of the committee, the team redesigned the production process and obtained additional funding. In the end, these flower pots not only achieved large-scale mass production, but also became an important part of the greening of the local community.

####Full implementation of AI ethics framework

After a long period of research and discussion, the "AI Ethics Committee" finally formulated a complete set of "AI Code of Conduct". This document specifies in detail the basic principles in the design, development and application of AI systems, including but not limited to requirements in fairness, transparency, security and other aspects.

The most eye-catching one is a clause about "algorithmic bias". According to this clause, all AI models involving human decision-making must undergo rigorous testing to ensure that their output results are not affected by factors such as race, gender, and age. For example, a bank once tried to adopt a loan approval system based on machine learning, but found in the test that the system tended to reject requests from female applicants. The committee immediately asked it to suspend deployment and assist in improving the algorithm logic.

In addition to regulating existing systems, the AI ​​Code of Conduct also provides forward-looking recommendations for new technologies that may emerge in the future. For example, in the increasingly popular field of virtual assistants, the guidelines clearly stipulate that any such product must not imitate the voice or image of a real human to avoid confusion or deception.

In order to help the public better understand these complex regulations, "Mei Luo Wang" teamed up with multiple media to launch a large-scale publicity campaign. They produced a series of short videos, using vivid examples to explain the meaning and role of each rule. One viewer left a message: "It turns out that there is so much knowledge behind AI! I will never trust anything that looks smart again."

####The ultimate challenge of a zero-carbon city

Although the "Clean Energy Lab" has achieved a series of breakthroughs, Xu knows that there are still many challenges to overcome in order to achieve a truly zero-carbon city. One of them is how to balance the contradiction between economic development and environmental protection.

To this end, Meiluowang proposed a strategy called the "Green Economic Transformation Plan". The plan aims to guide traditional high-pollution industries to gradually shift to a low-carbon model while supporting the growth of emerging industries. Specific measures include providing tax incentives, technical support, vocational training and other forms of assistance.

Taking the steel manufacturing industry as an example, the local government has worked with enterprises to develop a new smelting process that significantly reduces carbon dioxide emissions. At the same time, they also encourage employees to participate in skills training courses in the field of new energy to prepare for future career changes. An old worker said with emotion: "In the past, I always thought that environmental protection meant sacrificing our jobs, but now I realize that it can actually create more opportunities."

On the other hand, in order to stimulate the environmental awareness of the whole society, "Mei Luo Wang" launched the "Zero Carbon Life Challenge". Participants need to record their carbon footprint in a week and try to reduce the value by changing their living habits. The competition attracted tens of thousands of citizens to sign up, from reducing disposable items to choosing public transportation, everyone is contributing in their own way.

####The last step in educational equity

As the "lifelong learning ecosystem" continues to improve, Xuoho gradually realized that it is not enough to simply provide rich learning resources. What is more important is to cultivate everyone's learning interest and ability. So he proposed a new concept - "personalized growth path".

According to this concept, each user will have an exclusive growth profile that records their interests, skill levels, and learning progress. Based on this data, the system will tailor a suitable learning plan for them. For example, a primary school student who loves painting may receive a series of course recommendations on color matching and composition techniques; while an adult who wants to improve his competitiveness in the workplace will be guided to learn the latest management theories and technical applications.

To achieve this goal, Meiluowang invested heavily in upgrading its backend algorithms and established partnerships with a number of educational institutions. This way, no matter if it is a professional course or a hobby, it can find the most suitable content source.

In addition, the "Future Mentor" project has also undergone another innovation. Now, each mentor can view the student's growth profile through the system and adjust the teaching method accordingly. A music teacher shared: "In the past, we could only judge the student's potential based on experience, but now we have a scientific basis, and the teaching effect has been significantly improved."

####The perfect closed loop of social governance

On the basis of the "Citizen Feedback Day" system, Xuoho further promoted the construction of the "Smart Social Governance Platform". This platform integrates various social service resources to form a comprehensive solution network. Whether it is a family in need of emergency assistance or a group of young people wanting to organize a charity event, they can quickly find the right way through the platform.

In order to ensure the effective operation of the platform, Meiluowang has established a multi-level response mechanism. Grassroots staff are responsible for handling daily affairs, and when encountering complex problems, they will report to higher-level professional teams. The entire process is fully automated, which saves time and avoids human omissions.

A sociologist who has long been concerned about social governance issues commented: "This is not only a technological innovation, but also a profound change in the traditional management model. It allows us to see the bright prospects of combining science and technology with humanity."

Standing at the new stage of smart city construction, Xuoho looks back on the past with emotion. He knows that there are still many unknowns waiting to be explored on this road, but he firmly believes that as long as he sticks to his original intention, he will definitely make this city a better place. As he often says: "Happiness is not an unattainable dream, but a goal we strive to achieve every day."

####The ultimate goal of the data transparency program

As the "Personal Data Sovereignty Platform" gradually improved, Xu began to think about how to further deepen this plan. He realized that although users can control the flow of their own data, many ordinary people are still confused by the complex privacy policies and data usage terms. In order to solve this problem, "Mei Luo Wang" decided to launch a new feature - "Data Vernacular Interpreter".

This tool automatically converts any obscure data agreement into easy-to-understand language and presents it to users through voice, animation, etc. For example, when an e-commerce platform requests access to a user's shopping preferences, the system will tell the user in a simple and clear way: "This website wants to know what you like to buy so that it can recommend more similar products to you." In addition, a risk warning will be attached: "Please note that sharing this information may lead to advertising harassment."

In order to ensure the accuracy and authority of the interpretation content, "Mei Luo Wang" cooperated with linguistics experts from many universities to jointly develop a set of standardized translation rules. At the same time, they also introduced artificial intelligence technology to enable the interpreter to quickly adapt to various new data scenarios.

However, this new feature has also sparked some controversy. Some companies believe that overly straightforward descriptions may cause some users to misunderstand normal business activities, thus hindering the development of the industry. In response to this, Xuoho said in a public speech: "We are not trying to restrict the legitimate rights and interests of companies, but hope to help users make more informed choices through transparency. Only by establishing a true trust relationship can the market develop healthily and sustainably."

At the same time, "Mei Luo Wang" also launched an event called "Data Education Popularization Month". During this month, they will go to schools, communities and companies to spread data security knowledge to the public through lectures, workshops, etc. A high school student who participated in the event said: "I always felt that privacy protection was far away from me, but now I have learned how to protect my own information, and I can even teach my parents how to use these tools."

####In-depth optimization of the national proposal platform

Although the "National Proposal Investment Fund" has achieved remarkable results, Xuoho has not stopped exploring. He noticed that although the fund has provided support for many excellent proposals, in the actual implementation process, many projects still failed to achieve the expected results due to lack of follow-up. Therefore, he proposed to set up a special "Proposal Evaluation Committee" to monitor the progress of each project and adjust resource allocation in a timely manner.

The committee, which is composed of representatives from the government, academia and non-governmental organizations, will hold regular meetings to analyze the implementation of various proposals. If a project encounters difficulties, the committee will quickly coordinate relevant resources to provide assistance; if a project is found to have deviated from its original intention, it will take decisive measures to correct it.

In order to improve the efficiency of the committee's work, Meiluowang has developed an intelligent management system. This system can collect the operating data of each project in real time and generate detailed reports for the committee members to refer to. For example, for a proposal aimed at improving the public transportation experience, the system will record daily passenger flow changes, user satisfaction scores and other indicators to help decision makers understand the actual situation more comprehensively.

It is worth mentioning that with the support of this mechanism, an environmental protection project that was on the verge of failure successfully reversed. The original goal of the project was to use waste plastic to make degradable flower pots, but it was delayed due to technical and financial problems. With the help of the committee, the team redesigned the production process and obtained additional funding. In the end, these flower pots not only achieved large-scale mass production, but also became an important part of the greening of the local community.

####Full implementation of AI ethics framework

After a long period of research and discussion, the "AI Ethics Committee" finally formulated a complete set of "AI Code of Conduct". This document specifies in detail the basic principles in the design, development and application of AI systems, including but not limited to requirements in fairness, transparency, security and other aspects.

The most eye-catching one is a clause about "algorithmic bias". According to this clause, all AI models involving human decision-making must undergo rigorous testing to ensure that their output results are not affected by factors such as race, gender, and age. For example, a bank once tried to adopt a loan approval system based on machine learning, but found in the test that the system tended to reject requests from female applicants. The committee immediately asked it to suspend deployment and assist in improving the algorithm logic.

In addition to regulating existing systems, the AI ​​Code of Conduct also provides forward-looking recommendations for new technologies that may emerge in the future. For example, in the increasingly popular field of virtual assistants, the guidelines clearly stipulate that any such product must not imitate the voice or image of a real human to avoid confusion or deception.

In order to help the public better understand these complex regulations, "Mei Luo Wang" teamed up with multiple media to launch a large-scale publicity campaign. They produced a series of short videos, using vivid examples to explain the meaning and role of each rule. One viewer left a message: "It turns out that there is so much knowledge behind AI! I will never trust anything that looks smart again."

####The ultimate challenge of a zero-carbon city

Although the "Clean Energy Lab" has achieved a series of breakthroughs, Xu knows that there are still many challenges to overcome in order to achieve a truly zero-carbon city. One of them is how to balance the contradiction between economic development and environmental protection.

To this end, Meiluowang proposed a strategy called the "Green Economic Transformation Plan". The plan aims to guide traditional high-pollution industries to gradually shift to a low-carbon model while supporting the growth of emerging industries. Specific measures include providing tax incentives, technical support, vocational training and other forms of assistance.

Taking the steel manufacturing industry as an example, the local government has worked with enterprises to develop a new smelting process that significantly reduces carbon dioxide emissions. At the same time, they also encourage employees to participate in skills training courses in the field of new energy to prepare for future career changes. An old worker said with emotion: "In the past, I always thought that environmental protection meant sacrificing our jobs, but now I realize that it can actually create more opportunities."

On the other hand, in order to stimulate the environmental awareness of the whole society, "Mei Luo Wang" launched the "Zero Carbon Life Challenge". Participants need to record their carbon footprint in a week and try to reduce the value by changing their living habits. The competition attracted tens of thousands of citizens to sign up, from reducing disposable items to choosing public transportation, everyone is contributing in their own way.

####The last step in educational equity

As the "lifelong learning ecosystem" continues to improve, Xuoho gradually realized that it is not enough to simply provide rich learning resources. What is more important is to cultivate everyone's learning interest and ability. So he proposed a new concept - "personalized growth path".

According to this concept, each user will have an exclusive growth profile that records their interests, skill levels, and learning progress. Based on this data, the system will tailor a suitable learning plan for them. For example, a primary school student who loves painting may receive a series of course recommendations on color matching and composition techniques; while an adult who wants to improve his competitiveness in the workplace will be guided to learn the latest management theories and technical applications.

To achieve this goal, Meiluowang invested heavily in upgrading its backend algorithms and established partnerships with a number of educational institutions. This way, no matter if it is a professional course or a hobby, it can find the most suitable content source.

In addition, the "Future Mentor" project has also undergone another innovation. Now, each mentor can view the student's growth profile through the system and adjust the teaching method accordingly. A music teacher shared: "In the past, we could only judge the student's potential based on experience, but now we have a scientific basis, and the teaching effect has been significantly improved."

####The perfect closed loop of social governance

On the basis of the "Citizen Feedback Day" system, Xuoho further promoted the construction of the "Smart Social Governance Platform". This platform integrates various social service resources to form a comprehensive solution network. Whether it is a family in need of emergency assistance or a group of young people wanting to organize a charity event, they can quickly find the right way through the platform.

In order to ensure the effective operation of the platform, Meiluowang has established a multi-level response mechanism. Grassroots staff are responsible for handling daily affairs, and when encountering complex problems, they will report to higher-level professional teams. The entire process is fully automated, which saves time and avoids human omissions.

A sociologist who has long been concerned about social governance issues commented: "This is not only a technological innovation, but also a profound change in the traditional management model. It allows us to see the bright prospects of combining science and technology with humanity."

Standing at the new stage of smart city construction, Xuoho looks back on the past with emotion. He knows that there are still many unknowns waiting to be explored on this road, but he firmly believes that as long as he sticks to his original intention, he will definitely make this city a better place. As he often says: "Happiness is not an unattainable dream, but a goal we strive to achieve every day."

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