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

Comparative Excretory Systems02:24

Comparative Excretory Systems

26.6K
Animals have evolved different strategies for excretion, the removal of waste from the body. Most waste must be dissolved in water to be excreted, so an animal’s excretory strategy directly affects its water balance.
26.6K
Second Order systems II01:18

Second Order systems II

398
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
398
First Order Systems01:21

First Order Systems

416
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
416
Second Order systems I01:20

Second Order systems I

584
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
584
Classification of Systems-I01:26

Classification of Systems-I

556
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
556
Classification of Systems-II01:31

Classification of Systems-II

465
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
465

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

A Novel <i>De Novo</i> Assembly Approach for Transcriptome Profiling and Marker Identification in <i>Grewia Asiatica</i> (Phalsa), a Medicinal Plant, Across Leaf And Root Tissues.

Current genomics·2026
Same author

GLP-1 and the brain's powerhouse: a new perspective on the role of mitochondria in neuroprotection.

Metabolic brain disease·2026
Same author

Exploring the chemical diversity of Dictyostelium secondary metabolites and their biological implications.

Archives of microbiology·2026
Same author

Cell free systems for biodesign.

Progress in molecular biology and translational science·2026
Same author

In silico identification of bilobetin and ginsenoside as dual CK2 and ULK2 inhibitors targeting triple-negative breast cancer.

Scientific reports·2025
Same author

Exploitation of combining ability and heterotic potential of okra under the sub-mountain region of Himalayan.

Scientific reports·2025
Same journal

Artificial intelligence-driven multi-omics analysis of gut-kidney axis in chronic kidney disease.

Progress in molecular biology and translational science·2026
Same journal

Artificial intelligence in multi-omics analysis of heart diseases.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis of type 2 diabetes.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis in AMR.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis of COVID-19 patient data.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis of liver diseases.

Progress in molecular biology and translational science·2026
查看所有相关文章

相关实验视频

Updated: Jan 27, 2026

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

8.0K

无细胞系统用于低成本的诊断.

Rupal Dhariwal1, Mukul Jain1

  • 1Research & Development Cell, Parul University, Vadodara, Gujarat, India; Department of Life Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, Gujarat, India.

Progress in molecular biology and translational science
|January 25, 2026
PubMed
概括
此摘要是机器生成的。

无细胞诊断提供了一个革命性的,低成本的解决方案,用于快速和可扩展的点的护理测试. 这些系统利用蜂机械来提供可访问的医疗保健,特别是在资源有限的环境中.

关键词:
生物传感器是一种生物传感器.这就是CRISPR-Cas.没有细胞的系统是无细胞的.诊断 诊断 诊断 诊断微流体学 微流体学个性化的医疗保健它们是RNA吸附体.合成生物学 合成生物学

更多相关视频

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.8K
Rapid Characterization of Genetic Parts with Cell-Free Systems
05:00

Rapid Characterization of Genetic Parts with Cell-Free Systems

Published on: August 30, 2021

2.2K

相关实验视频

Last Updated: Jan 27, 2026

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

8.0K
Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.8K
Rapid Characterization of Genetic Parts with Cell-Free Systems
05:00

Rapid Characterization of Genetic Parts with Cell-Free Systems

Published on: August 30, 2021

2.2K

科学领域:

  • 生物技术是生物技术.
  • 分子诊断学 分子诊断
  • 合成生物学 合成生物学

背景情况:

  • 无细胞系统为诊断提供了一个多功能平台,克服了传统基于细胞的测试的局限性.
  • 这些系统对于 Point-of-Care (POC) 应用至关重要,特别是在资源较差的地区,提供速度和灵活性.

研究的目的:

  • 提供无细胞诊断开发的全面概述,涵盖原则,设计和技术进步.
  • 探索生化基础,领先的平台和合成生物学应用程序,以提高诊断性能.

主要方法:

  • 讨论细胞自由表达的生化原理 (核糖体功能,转录控制,能量再生).
  • 重点是领先的平台:大肠杆菌溶解物,小麦芽提取物和PURE系统.
  • 整合合成生物学工具:基因电路,CRISPR-Cas,RNA吸收体,以提高灵敏度和特异性.

主要成果:

  • 探索基于纸张,微流体和可穿戴生物传感器的创新,以实时,现场部署的诊断.
  • 分析挑战,包括试剂稳定性,可扩展性和监管方面的考虑.
  • 突出了基于AI的设计和个性化诊断等趋势.

结论:

  • 无细胞诊断在弥合医疗保健差距和改善全球医疗保健准入方面显示出巨大的前景.
  • 这本书是无细胞诊断领域的研究人员和创新者的百科全书资源.