| Criteria | Description | Link | states |
|---|---|---|---|
| 1. Competition Deliverables | We have completed the following Competition Deliverables:
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| 2. Project Attributions | We carefully documented what team members did for the project. And we gratefully noted the people or organizations outside the team that have helped us and the contributions they have done for the project. | Attributions | √ |
| 3. Project Description | In this section, we documented the parts we designed, our approach to machine learning and protein evolution, our software (a game that can be employed for promoting knowledge of microplastics), and our experience in hardware. | Description | √ |
| 4. Contribution | In this section, we documented the parts we designed, our approach to machine learning and protein evolution, our software (a game that can be employed for promoting knowledge of microplastics), and our experience in hardware. | Contribution | √ |
| Criteria | Description | Link | states |
|---|---|---|---|
| 1. Engineering Success | Demonstrate engineering success in our project by going through iterations of the engineering design cycle: Design → Build → Test → Learn. | Engineering | √ |
| 2. Human Practices | We have established a comprehensive environmental education system ranging from perception to thinking and then to action based on the perception triangle. As a hub for knowledge dissemination, we consulted expert teachers and numerous government officials from various departments, including the Ecological Environment Bureau, the Water Conservancy Bureau, and at the street and community levels, conducting extensive and in-depth field research. Regarding downstream communication, we promote environmental knowledge through various forms such as music, bilingual picture books and educational materials, interactive game manuals, documentaries, youth speeches, and others. Additionally, we combined AI tools to generate the project's theme song to publicize environmental knowledge, inspiring more people to engage in environmental protection practices and contribute to the sustainable development of the Earth. | Human Practices | √ |
| Criteria | Description | Link | states |
|---|---|---|---|
| 1. Model | In microplastic identification, we combined machine learning with Raman spectroscopy, leveraging the powerful data processing capabilities and automation advantages of machine learning models to enhance the specificity and efficiency of microplastic identification. In directed evolution, we integrated advanced machine learning with traditional mutation scanning and molecular dynamics simulations to elucidate the effects of site-specific mutations on the affinity of anchoring peptides and IsMHETase. Our empirical findings demonstrate a significant enhancement in the enzymatic activity of IsMHETase. | Model | √ |
| 2. Education | We have established a comprehensive environmental education system ranging from perception to thinking and then to action based on the perception triangle. As a hub for knowledge dissemination, we consulted expert teachers and numerous government officials from various departments, including the Ecological Environment Bureau, the Water Conservancy Bureau, and at the street and community levels, conducting extensive and in-depth field research. Regarding downstream communication, we promote environmental knowledge through various forms such as music, bilingual picture books and educational materials, interactive game manuals, documentaries, youth speeches, and others. Additionally, we combined AI tools to generate the project's theme song to publicize environmental knowledge, inspiring more people to engage in environmental protection practices and contribute to the sustainable development of the Earth. | Education | √ |
| 3. Hardware | With the increasing use of plastics, their difficult to degrade properties have an increasing impact on the environment. To protect the environment and human safety, our team has designed a device for the detection and degradation of microplastics. Our equipment can use the special color reaction of microplastics with colloidal gold to detect the concentration of microplastics and better degrade microplastics. It can effectively control the various conditions of the reaction, easy to operate, and brings great convenience. | Hardware | √ |