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Related Concept Videos

Second Order systems II01:18

Second Order systems II

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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.
406
First Order Systems01:21

First Order Systems

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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...
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Second Order systems I01:20

Second Order systems I

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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...
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Thermodynamic Systems01:06

Thermodynamic Systems

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A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The...
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Classification of Systems-I01:26

Classification of Systems-I

592
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:
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Classification of Systems-II01:31

Classification of Systems-II

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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,
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Type I interferon dysregulation in Systemic Sclerosis.

Brian Skaug1, Shervin Assassi1

  • 1The University of Texas Health Science Center in Houston, Division of Rheumatology, 6431 Fannin, MSB 5.262, Houston, TX 77030, United States.

Cytokine
|January 28, 2019
PubMed
Summary
This summary is machine-generated.

Systemic sclerosis (SSc) involves autoimmunity, vasculopathy, and fibrosis. Type I interferons (IFNs) are implicated in SSc pathogenesis, with excess IFNs found in patients, suggesting potential as biomarkers and therapeutic targets.

Keywords:
IRFInterferonSclerodermaSystemic Sclerosis

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Area of Science:

  • Immunology
  • Rheumatology
  • Genetics

Background:

  • Systemic sclerosis (SSc) is a complex autoimmune disease causing significant morbidity and mortality.
  • Despite treatment advances, SSc reduces quality of life and leads to premature death.
  • Type I interferons (IFNs) are crucial in immune responses but implicated in autoimmune diseases.

Purpose of the Study:

  • To review evidence of Type I IFN dysregulation in SSc.
  • To explore mechanisms linking Type I IFNs to SSc pathogenesis.
  • To discuss the potential of Type I IFNs as SSc biomarkers and therapeutic targets.

Main Methods:

  • Analysis of genetic data, including polymorphisms in interferon-regulatory factors.
  • Gene expression profiling in SSc patients' blood and skin.
  • Review of existing literature on Type I IFN roles in autoimmunity.

Main Results:

  • Genetic evidence, including interferon-regulatory factor polymorphisms, indicates increased SSc risk.
  • Elevated Type I IFN levels are observed in the blood and skin of many SSc patients.
  • Type I IFN dysregulation is a key feature revealed by genetic and gene expression studies.

Conclusions:

  • Type I IFNs play a significant pathogenic role in Systemic Sclerosis.
  • Understanding Type I IFN mechanisms in SSc is crucial for developing new treatments.
  • Type I IFNs represent promising biomarkers and therapeutic targets for SSc management.