Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Adaptability of Cytoskeletal Filaments01:12

Adaptability of Cytoskeletal Filaments

The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Finite-time sliding mode speed control using an adaptive three-stage reaching law for PMSM.

ISA transactions·2026
Same author

Eu<sup>3+</sup> Doping in Sodium Vanadium Phosphate: Synergistically Unlocking Fast Sodium Storage Kinetics and Stable Cycles.

ACS applied materials & interfaces·2026
Same author

Dual-Solvent SPE-UPLC-MS/MS Method for Quantifying 17 Organophosphate Flame Retardants in Environmental Waters.

Rapid communications in mass spectrometry : RCM·2026
Same author

Research on the Prediction of Coal Workers' Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study.

JMIR medical informatics·2026
Same author

Pinellia exosomal vesicles remodulate tumor-associated macrophage polarization via the serine synthesis/JAK/STAT signaling pathway to inhibit lung cancer growth.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Tm<sup>3</sup><sup>+</sup>-Doped Na<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> Cathode: Accelerating Charge Transfer and Enhancing Lattice Stability for High-Performance Sodium-Ion Batteries.

Langmuir : the ACS journal of surfaces and colloids·2025

相关实验视频

Updated: Jul 10, 2026

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
09:38

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

8.8K

生物蜘蛛网灵活的应变传感器基于CF-L和机器学习.

Jixu Zou1, Xueye Chen, Bao Song2

  • 1School of Chemistry and Materials Science, Ludong University, No.186, Middle Hongqi Road, Zhifu District, Yantai, Shandong 264025, China.

ACS applied materials & interfaces
|April 29, 2024
PubMed
概括
此摘要是机器生成的。

机器学习优化了用于传感器的激光诱导石墨烯 (LIG) 制备. 一种新的组合CO2和光纤激光 (CF-L) 方法为敏感,灵活的生物仿真应变传感器创建了精致的结构.

关键词:
灵活的电子产品灵活的电子产品激光诱导的石墨烯是一种激光.机器学习是机器学习.信号监控 信号监控 信号监控蜘蛛网结构 蜘蛛网结构应变传感器是一种应变传感器.

更多相关视频

A Protocol for Using F&#246;rster Resonance Energy Transfer (FRET)-force Biosensors to Measure Mechanical Forces across the Nuclear LINC Complex
09:43

A Protocol for Using Förster Resonance Energy Transfer (FRET)-force Biosensors to Measure Mechanical Forces across the Nuclear LINC Complex

Published on: April 11, 2017

10.6K
Production of a Strain-Measuring Device with an Improved 3D Printer
06:17

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

6.2K

相关实验视频

Last Updated: Jul 10, 2026

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
09:38

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

8.8K
A Protocol for Using F&#246;rster Resonance Energy Transfer (FRET)-force Biosensors to Measure Mechanical Forces across the Nuclear LINC Complex
09:43

A Protocol for Using Förster Resonance Energy Transfer (FRET)-force Biosensors to Measure Mechanical Forces across the Nuclear LINC Complex

Published on: April 11, 2017

10.6K
Production of a Strain-Measuring Device with an Improved 3D Printer
06:17

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

6.2K

科学领域:

  • 材料科学 材料科学 材料科学
  • 纳米技术纳米技术
  • 传感器技术 传感器技术

背景情况:

  • 激光诱导的石墨烯 (LIG) 对于传感器制造至关重要.
  • 传统的CO2激光制备是耗时且低效的.
  • 传感器的性能高度依赖于LIG结构的精细化.

研究的目的:

  • 通过机器学习提高LIG准备效率.
  • 开发一种新的膜内结构构造方法.
  • 为了创建一个敏感,灵活,生物仿真的应变传感器.

主要方法:

  • 机器学习算法被用来预测和优化LIG准备参数.
  • 为了内膜结构的建造,引入了一种组合的CO2和纤维激光 (CF-L) 方法.
  • 使用CF-L方法制造了一种灵活的应变传感器.

主要成果:

  • 机器学习显著提高了LIG准备效率.
  • 与单独使用CO2激光相比,CF-L方法产生了更精细和优化的LIG结构.
  • 由此产生的仿生传感器表现出高灵敏度和灵活性.

结论:

  • 拟议的机器学习和CF-L方法为LIG准备提供了高效和有效的方法.
  • 开发的柔性应变传感器适合检测人类关节运动.
  • 这项技术为先进的传感器制造提供了一个简单,经济和可扩展的解决方案.