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相关概念视频

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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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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相关实验视频

Updated: Jun 24, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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蜂巢没有规模的新兴动态

Ivan Shpurov1, Tom Froese2, Dante R Chialvo3,4

  • 1Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology Graduate University, Tancha, Okinawa, Japan. ivan.shpurov@oist.jp.

Scientific reports
|June 11, 2024
PubMed
概括

蜜蜂蜂巢动态揭示了复杂的集体行为. 蜜蜂在接近最佳密度的情况下自我组织,通过远程相关性优化蜂巢吞吐量.

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The HoneyComb Paradigm for Research on Collective Human Behavior
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Last Updated: Jun 24, 2025

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科学领域:

  • 复杂的系统复杂的系统.
  • 集体动态的集体动态
  • 社会昆虫的行为

背景情况:

  • 社会昆虫,像蜜蜂一样,在他们的集体动态中显示出新兴的特性.
  • 了解这些动态是理解复杂系统行为的关键.

研究的目的:

  • 用以前发表的数据集分析蜜蜂蜂群集体动态.
  • 调查蜜蜂占用密度的空间和时间相关性.

主要方法:

  • 在几天内追踪成千上万的蜜蜂.
  • 分析占用密度波动及其与蜜蜂流动的关系.

主要成果:

  • 观察到蜂巢占用密度的长距离空间和时间相关性.
  • 确定了蜜蜂密度和流量之间的非单调函数,类似于交通堵塞.
  • 蜂巢动态似乎在最佳密度和最大吞吐量点附近自我调整.

结论:

  • 蜜蜂蜂房表现出自我组织,以达到最佳的运行密度.
  • 蜂巢中的集体动态与其他复杂系统有相似之处,比如交通流.
  • 这种自我调整优化了蜂群的整体效率和吞吐量.