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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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First Law: Particles in Two-dimensional Equilibrium01:18

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Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
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Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

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A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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First Law: Particles in One-dimensional Equilibrium01:10

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Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
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Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

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The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
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Related Experiment Video

Updated: Oct 17, 2025

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
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Evasion of tipping in complex systems through spatial pattern formation.

Max Rietkerk1, Robbin Bastiaansen2, Swarnendu Banerjee1,3,4

  • 1Copernicus Institute of Sustainable Development, Utrecht University, 3508 TC, Utrecht, Netherlands.

Science (New York, N.Y.)
|October 7, 2021
PubMed
Summary

Spatial self-organization may signal resilience, helping complex systems avoid catastrophic tipping points. This research explores how pattern formation can indicate ecosystem and Earth system stability amidst global change.

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Area of Science:

  • Ecology
  • Complex Systems Science
  • Earth System Science

Background:

  • Global change poses risks of catastrophic tipping points for ecosystems and the Earth system.
  • Early warning indicators for these critical transitions are actively sought.
  • Spatial self-organization has been considered a potential early warning signal.

Purpose of the Study:

  • To review the role of spatial self-organization in evading tipping points.
  • To reframe spatial self-organization as a signal of resilience rather than an indicator of impending collapse.
  • To explore the conditions under which complex systems exhibit resilience through spatial pattern formation.

Main Methods:

  • Literature review on spatial self-organization and critical transitions.
  • Analysis of theoretical frameworks linking spatial patterns to system resilience.
  • Synthesis of evidence for evasion of tipping points via pattern formation.

Main Results:

  • Spatial self-organization can facilitate the evasion of tipping points in complex systems.
  • Pattern formation acts as a mechanism for maintaining system resilience.
  • This phenomenon is potentially applicable across various ecosystems and Earth system components.

Conclusions:

  • Spatial self-organization is a crucial indicator of resilience, not necessarily an early warning of tipping points.
  • Understanding spatial pattern formation is key to identifying and fostering resilient systems.
  • Further systematic analysis is needed to define the conditions promoting resilience and tipping point evasion.