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相关概念视频

Contact-dependent Signaling01:19

Contact-dependent Signaling

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Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
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Cyclic Processes And Isolated Systems01:19

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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. 
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Basic Continuous Time Signals01:22

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Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
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Convolution: Math, Graphics, and Discrete Signals01:24

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In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
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Modeling with Differential Equations01:25

Modeling with Differential Equations

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Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
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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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相关实验视频

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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人与人接触动态的连续时间过程.

Robin Persoons1, Matteo D'Alessandro1, Piet Van Mieghem1

  • 1Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, P.O. Box 5031, 2600 GA Delft, The Netherlands.

Physical review. E
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概括
此摘要是机器生成的。

我们介绍了人类接触动态的连续时间马尔科夫模型,连续随机步行者诱导时间图模型 (CRWIG). 这种模型捕捉到复杂的人类移动模式,包括任意的飞行和暂停时间,与非马科夫扩展.

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科学领域:

  • 复杂的系统复杂的系统.
  • 网络科学 网络科学
  • 随机过程 随机过程

背景情况:

  • 人与人接触的动态对于了解疾病传播和社会互动至关重要.
  • 现有的模型往往简化了移动模式,限制了它们在现实世界中的适用性.

研究的目的:

  • 为人类接触动态开发一种新的连续时间马尔科夫模型.
  • 分析步行者相互作用和接触图形形成的新兴特性.
  • 扩展模型的非马科夫行为,并与经验人类流动性数据进行比较.

主要方法:

  • 连续随机步行者诱导时间图 (CRWIG) 模型的开发.
  • 对于步行者组合的马尔科夫治理方程的数学公式.
  • 时间离散效应的分析和指数式衰变和交集时间尾巴的证明.
  • 扩展到一个非马科夫模型,具有非指数的逗留时间.

主要成果:

  • CRWIG 显示了初始条件的指数式衰变和指数式缩短的会议间隔时间.
  • 非马科夫扩展精确地重现了人类的实证移动性:任意的飞行/暂停分布.
  • 扩展模型产生了权力定律与指数尾巴之间的时间分布.

结论:

  • CRWIG模型为研究人与人接触动态提供了一个强大的框架.
  • 非马科维的扩展显著提高了模型捕捉现实世界人类流动的能力.
  • 这项工作为流行病学,城市规划和社交网络分析等领域提供了宝贵的见解.