Opiniones sobre neumáticos Continental ContiSportContact 6 97

El uso de este neumático en un vehículo de rally, conduciendo en diferentes condiciones en un circuito de pruebas. El neumático es impresionante, tanto en carretera mojada como en seca, en arena y hasta en acero para probar el deslizamiento lateral.

Creo que es la mejor goma civil para uso urbano.

No me equivoqué No me equivoqué con las shinas SPORTCONTACT 5 en carretera mojada no estaban muy bien y tampoco con el aquaplaning, pero ya no siento esos fallos en las SPORTCONTACT 6 . Las recomiendo, es una buena shina por su precio. Suave y estable, tanto en carretera mojada como en seca.

La excelente goma reemplaza al SportContact 5P.
Su excelente resistencia a las agresiones, 35 perfil, frenos ideales tanto en seco como en húmedo. Un excelente par de reacción. Un total ausencia de vibraciones, muy cómoda para neumáticos de bajo perfil.
Silencioso, el borde protector es muy eficiente a la hora de proteger el disco. Calidad

Estoy comprando el séptimo conjunto, no solo para mi auto. Estoy satisfecho con la goma. Mi gerente, Igor Apitikev, procesa los pedidos con eficiencia y responde a las llamadas telefónicas incluso en días festivos. También informa sobre el estado de los pedidos fuera de la oficina. No tengo quejas con su enfoque laboral. Lo que no puedo decir de la sucursal

Esto no es caucho, es una obra maestra. De todas las Pirelli, Yokohama, Goodyear que he tenido, esta es la mejor. 245×35 R20 resultó ser MÁS SUAVE que mis llantas de 17 pulgadas de 6 años. La fórmula Black Chili es una bomba. Es increíblemente silenciosa. Es la llanta más silenciosa que he tenido. Con el perfil de Zico pensé que definitivamente haría ruido. Pero todo resultó mucho más agradable. Mi coche es un Lexus ES 7ª generación.

Desilusionado. La primera goma Conti que me ha decepcionado... tamaño 285/35 ZR R22 100Y auto Audi Q7. El confort acústico es un 2 sobre 5. Todo el rato, en el fondo, sale un ruido metálico muy perceptible que aumenta a medida que se incrementa la velocidad. Hasta los 70 km/h es tolerable... A partir de ahí, me parece pe

Excelentes neumáticos, no hacen ruido y no chirrían. Hay un solo inconveniente: son con clavos. Los clavos de esta marca son sus amigos) hasta que llegaron los Pirelli, en los que no había problemas con los clavos. Quizás sea coincidencia. En este momento deseo vender mi conjunto y comprar uno nuevo. Parece que nuevamente los compraré, ya que no hay opciones de ne

Obtuve dos ruedas de Portugal 2023-2024. Dos ruedas de la República Checa de 2025. Las ruedas son diferentes no solo por el año de fabricación, sino también por su apariencia. Las de Portugal son notablemente más rígidas. Pagar más de cien mil por ruedas con un índice de velocidad de 300 km/h y recibir una "sopa" ensamblada es inaceptable. Necesitas tener una conexión más estrecha con el almacén. Lamento haberme puesto en contacto con su empresa.

**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 notetaking application, allowing 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-implemented 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context, including the type of audio data, the format of the extracted information, and the functionality of the notetaking application.
3. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information, the claims should be directed to the key technical features of the invention, including the type of audio data, the format of the extracted information, and the functionality of the notetaking application.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, the format of the extracted information, and the functionality of the notetaking application, and the claims should be directed to the key technical features of the invention.
5. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the speech recognition module uses natural language processing algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, and the claims should be directed to the key technical features of the invention.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, the format of the extracted information, and the functionality of the notetaking application.
9. A computer-implemented 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the pattern detection module uses machine learning algorithms to identify salient patterns, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information, and the claims should be directed to the key technical features of the invention.

**Claims**:
1. A computer-implemented 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
3. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the speech recognition module uses natural language processing algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
5. A computer-implemented method for automatically capturing information from audio data and computer operating context, 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 notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
7. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a notetaking application, and the claims should be directed to the key technical features of the invention.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, the format of the extracted information, and the functionality of the notetaking application.
9. A computer-implemented 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, allowing users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the speech recognition module uses natural language processing algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns, and the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

Hasta ahora, todo es más que satisfactorio - tanto el comportamiento a alta velocidad, como la maniobrabilidad en general y con lluvia fuerte, y el nivel de ruido.
Buena goma de calidad