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People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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模块化组装的智能微针平台用于机器学习驱动的个性化健康监测.

Hongyi Sun1,2, Lechen Chen3, Tao Wang4

  • 1School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, People's Republic of China.

Nano-micro letters
|February 9, 2026
PubMed
概括
此摘要是机器生成的。

一个新的电子生物传感器补丁 (eMPatch) 使用微针进行最少侵入性,对关键代谢生物标志物的实时监测. 机器学习增强了其预测健康评估能力,以实现个性化的医疗保健.

关键词:
灵活的补丁贴.机器学习是机器学习.微针微针的使用方法复杂感应多重感应感应个性化的健康 个性化的健康

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科学领域:

  • 生物医学工程 生物医学工程
  • 可穿戴技术可穿戴技术
  • 生物感应是一种生物感应.

背景情况:

  • 下一代医疗保健需要对各种生物标志物的持续,非侵入性监测,以实现个性化的健康管理.
  • 当前数据驱动的分析方法与现实世界的定量健康状况预测相扎.
  • 代谢途径和病原体具有固有的复杂性,需要先进的监测解决方案.

研究的目的:

  • 开发一种可穿戴的生物传感器贴片,用于实时监测多种代谢生物标志物的最小侵入性监测.
  • 将微针技术与灵活的平台集成为可靠的皮肤传感.
  • 采用机器学习来使用生物传感器数据进行先进的健康评估和预测.

主要方法:

  • 设计和制造了一种基于电子多重微针的生物传感器补丁 (eMPatch).
  • eMPatch将模块化微针传感器集成到一个灵活的皮肤接口平台上.
  • 在动物模型中进行了体内验证,并使用机器学习算法进行数据分析.

主要成果:

  • eMPatch成功地实现了实时,最小侵入性监测葡萄糖,尿酸,胆固醇,,和间歇性液体中的pH值.
  • 在体内研究表明,在各种活动中强大的机械稳定性和可靠的连续传感.
  • 机器学习集成在区分代谢状态和精确评估方面实现了高精度 (0.996) (R2=0.977).

结论:

  • 微针集成生物传感器贴片 (eMPatch) 显示了个性化健康管理的巨大潜力.
  • 这个平台提供了一个有前途的方法,用于在现实环境中持续的多生物标志物监测.
  • 机器学习增强显著提高了可穿戴生物传感器的诊断和评估能力.