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相关概念视频

Static, Stagnation, Dynamic and Total Pressure01:24

Static, Stagnation, Dynamic and Total Pressure

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The concept of static, stagnation, dynamic, and total pressure is fundamental in fluid dynamics, often explained using Bernoulli's equation:
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Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
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Network Function of a Circuit01:25

Network Function of a Circuit

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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Static Equilibrium - I01:05

Static Equilibrium - I

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A rigid body is said to be in dynamic equilibrium when both its linear and angular acceleration are zero, relative to an inertial frame of reference. This means that a body in equilibrium can be moving, but only when its linear and angular velocities are constant. A rigid body is said to be in static equilibrium when it is at rest in the selected frame of reference. The distinction between static equilibrium (e.g., a state of rest) and dynamic equilibrium (e.g, a state of uniform motion) is...
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Static Equilibrium - II01:07

Static Equilibrium - II

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Static equilibrium is a special case in mechanics that is very important in everyday life. It occurs when the net force and the net torque on an object or system are both zero. This means that both the linear and angular accelerations are zero. Thus, the object is at rest, or its center of mass is moving at a constant velocity. However, this does not mean that no forces are acting on the object within the system. In fact, there are very few scenarios on Earth in which no forces are acting upon...
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Modeling the Functional Network for Spatial Navigation in the Human Brain
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探索电影观看期间大胆信号变化,复杂性,静态和动态功能性脑网络特征之间的相互作用.

Amir Hossein Ghaderi1,2, Hongye Wang3, Andrea B Protzner4,2

  • 1Department of Psychology and Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 1N4, Canada ghaderia@usc.edu.

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概括
此摘要是机器生成的。

大脑信号的复杂性和可变性与功能性大脑网络特征有关. 较高的中心性区域显示BOLD信号的变化较少,但根据时间尺度,复杂性更高.

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科学领域:

  • 神经科学是一个神经科学.
  • 复杂的系统复杂的系统.

背景情况:

  • 了解大脑功能依赖于分析大脑信号的动态和复杂性.
  • 功能性大脑网络 (FBN) 显示了BOLD信号变化/复杂性和网络特征之间的联系.
  • 在FBN中信号变化/复杂性和区域中心性之间的关系未得到充分研究.

研究的目的:

  • 研究FBN的BOLD信号变化/复杂性和静态/动态节点特征之间的关联.
  • 在自然主义电影观看期间,利用fMRI BOLD数据的图形理论分析.

主要方法:

  • 对fMRI BOLD数据应用的图形理论分析.
  • 检查了功能大脑网络 (FBN) 的静态和动态节点特征.
  • 与网络中心性和集群系数相关联的BOLD信号变化和复杂性.

主要成果:

  • BOLD信号的变异性与微量级复杂性正相关,与粗量级复杂性负相关.
  • 具有高中心性和集群系数的地区表现出较少变化的,但更复杂的信号.
  • 这些关系一般适用于动态FBN,尽管一些中心性动态协会变得无关紧要.

结论:

  • BOLD信号变化,复杂性和FBN特征之间的相互作用取决于复杂性的时间尺度.
  • 时间变化的FBN特征反映了BOLD信号可变性和复杂性的复杂共演.