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Related Concept Videos

Second Order systems II01:18

Second Order systems II

411
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.
411
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.
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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.
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Classification of Systems-I01:26

Classification of Systems-I

596
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

509
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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Related Experiment Video

Updated: Feb 7, 2026

Implantation of a New Micro Acoustic Tag in Juvenile Pacific Lamprey and American Eel
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Systemic Juvenile Idiopathic Arthritis.

Jennifer J Y Lee1, Rayfel Schneider1

  • 1Department of Paediatrics, Division of Rheumatology, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada.

Pediatric Clinics of North America
|July 23, 2018
PubMed
Summary

Systemic juvenile idiopathic arthritis (sJIA) is a serious childhood condition. Newer biologic therapies, like IL-1 and IL-6 inhibitors, are transforming sJIA treatment, reducing steroid use and improving outcomes.

Keywords:
Juvenile idiopathic arthritisMacrophage activation syndromePediatricsRheumatologySystemic juvenile idiopathic arthritis

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Area of Science:

  • Pediatric Rheumatology
  • Immunology
  • Internal Medicine

Background:

  • Systemic juvenile idiopathic arthritis (sJIA) is a severe subtype of juvenile idiopathic arthritis.
  • It presents with fever, arthritis, and potential systemic symptoms like rash, lymphadenopathy, hepatosplenomegaly, and serositis.
  • Exclusion of other serious conditions is vital for diagnosis.

Purpose of the Study:

  • To highlight the characteristics and diagnostic challenges of sJIA.
  • To emphasize the critical role of recognizing and managing macrophage activation syndrome (MAS) in sJIA.
  • To discuss the impact of novel biologic therapies on sJIA management.

Main Methods:

  • Literature review of sJIA pathogenesis, diagnosis, and treatment.
  • Analysis of clinical data regarding biologic agent efficacy.
  • Discussion of the evolving treatment landscape for sJIA.

Main Results:

  • Biologic agents, specifically IL-1 and IL-6 inhibitors, demonstrate high efficacy in treating sJIA.
  • These advanced therapies have significantly reduced the reliance on systemic glucocorticoids.
  • Prompt diagnosis and management of MAS are crucial for patient survival.

Conclusions:

  • Modern biologic treatments have revolutionized sJIA care.
  • Primary care providers play a key role in monitoring sJIA patients for complications and adverse events.
  • Continued vigilance and updated treatment strategies are essential for optimal sJIA management.