Opiniones sobre neumáticos Kumho HP91 Crugen. Página 11 331

Año de lanzamiento 2023, calidad buena 👍 lo recomiendo

Excelente neumático, se lo recomiendo a todos!

Me gustó la goma. El nivel de ruido, en comparación con la vieja goma lisa, disminuyó a la mitad. No entiendo cómo un protector fresco puede ser más silencioso que la goma en la que solo quedaba el recuerdo de un protector pasado.

Neumáticos excelentes, todo como en la descripción
10 de 10

La goma llegó fresca de la 5ª semana de 2024, ¡Todo es super!

Recibida, equipé el coche, sin problemas

Excelentes ruedas. Las compré como regalo para mi abuelo. Le gustaron mucho

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

2. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

3. A computer-readable medium having stored thereon a set of instructions to control a computer system, the instructions comprising: an activity detection module, a speech recognition module, and a note-taking application.

4. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions for data extraction; means for processing audio data to identify salient patterns; and means for providing the extracted text and salient patterns to a user.

5. A method of operating a computer system to automatically capture information from audio data, comprising the steps of: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

6. A computer system for automatically capturing information, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application.

7. A computer-readable medium having stored thereon a set of instructions to control a computer system, the instructions comprising: instructions for detecting starting conditions for data extraction; instructions for processing audio data to identify salient patterns; and instructions for providing the extracted text and salient patterns to a note-taking application.

8. A method of automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

9. A computer system for automatically capturing information, comprising: means for detecting starting conditions for data extraction; means for processing audio data to identify salient patterns; and means for providing the extracted text and salient patterns to a user.

10. A computer-readable medium having stored thereon a set of instructions to control a computer system, the instructions comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application.

11. A method for operating a computer system to automatically capture information, comprising the steps of: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

12. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

13. A computer-readable medium having stored thereon a set of instructions to control a computer system, the instructions comprising: instructions for detecting starting conditions for data extraction; instructions for processing audio data to identify salient patterns; and instructions for providing the extracted text and salient patterns to a note-taking application.

14. A method of automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

15. A computer system for automatically capturing information, comprising: means for detecting starting conditions for data extraction; means for processing audio data to identify salient patterns; and means for providing the extracted text and salient patterns to a user.

**Claims**:
1. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and salient patterns to a user.

2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.

3. The computer system of claim 1, wherein the speech recognition module uses natural language processing techniques to process the audio data and identify salient patterns.

4. The computer system of claim 1, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted text and salient patterns.

5. A method for operating a computer system to automatically capture information from audio data, comprising the steps of: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

6. The method of claim 5, wherein the detecting step uses machine learning algorithms to detect starting conditions for data extraction.

7. The method of claim 5, wherein the processing step uses natural language processing techniques to process the audio data and identify salient patterns.

8. The method of claim 5, wherein the providing step allows users to interactively edit an electronic document incorporating the extracted text and salient patterns.

9. A computer-readable medium having stored thereon a set of instructions to control a computer system, the instructions comprising: instructions for detecting starting conditions for data extraction; instructions for processing audio data to identify salient patterns; and instructions for providing the extracted text and salient patterns to a note-taking application.

10. The computer-readable medium of claim 9, wherein the instructions use machine learning algorithms to detect starting conditions for data extraction.

11. The computer-readable medium of claim 9, wherein the instructions use natural language processing techniques to process the audio data and identify salient patterns.

12. The computer-readable medium of claim 9, wherein the instructions allow users to interactively edit an electronic document incorporating the extracted text and salient patterns.

13. A computer system for automatically capturing information from audio data, comprising: means for detecting starting conditions for data extraction; means for processing audio data to identify salient patterns; and means for providing the extracted text and salient patterns to a user.

14. The computer system of claim 13, wherein the means for detecting starting conditions for data extraction use machine learning algorithms.

15. The computer system of claim 13, wherein the means for processing audio data use natural language processing techniques.

16. The computer system of claim 13, wherein the means for providing the extracted text and salient patterns allow users to interactively edit an electronic document incorporating the extracted information.

17. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.

18. The method of claim 17, wherein the detecting step uses machine learning algorithms to detect starting conditions for data extraction.

19. The method of claim 17, wherein the processing step uses natural language processing techniques to process the audio data and identify salient patterns.

20. The method of claim 17, wherein the providing step allows users to interactively edit an electronic document incorporating the extracted text and salient patterns.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To ensure the claims are clear, concise, and consistent with the patent draft, we need to identify the key technical features of the invention.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and the technical features of the invention, such as the use of machine learning algorithms and natural language processing techniques.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
2. The computer system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context, including the type of audio data, computer operating context, and technical features of the invention.
15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
2. The method of claim 1, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
4. The computer system of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
6. The computer-implemented method of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the speech recognition module uses machine learning algorithms to process the audio data and identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.
12. The computer system of claim 11, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction based on the audio data and computer operating context.
13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application.
14. The computer-implemented method of claim 13, wherein the activity detection module detects starting conditions for data extraction based on the audio data and computer operating context.
15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a note-taking application to interactively edit an electronic document incorporating the extracted information.

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