Moving Systems
Moving Systems - Related Videos
08:59
Multichannel Extracellular Recording in Freely Moving Mice
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Cited by 1 •
2023
The protocol describes the methodology of extracellular recording in the motor cortex (MC) to reveal extracellular electrophysiological properties in freely moving conscious mice, as well as the data analysis of local field potentials (LFPs) and spikes, which is useful for evaluating the network neural activity underlying behaviors of interest.
13:19
The Use of Chemostats in Microbial Systems Biology
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Cited by 73 •
2013
Cell growth rate is a regulated process and a primary determinant of cell physiology. Continuous culturing using chemostats enables extrinsic control of cell growth rate by nutrient limitation facilitating the study of molecular networks that control cell growth and how those networks evolve to optimize cell growth.
07:54
Long-term Blood Pressure Measurement in Freely Moving Mice Using Telemetry
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Cited by 13 •
2016
The goal of this protocol is to assess systemic blood pressure in conscious freely moving mice using implantable radio-telemetry devices.
01:28
Strategic Moves: Side Payments
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2025
Side payments are a strategic move in sequential games where one player offers a benefit to another to encourage cooperation. This tactic adjusts the payoffs for both players, making it more appealing for the opponent to choose an action that is beneficial for both players. It helps shift the dynamics of the game, leading to outcomes that are more favorable than those achieved through competition. Consider two telecommunications companies, TelNet and SignalMax, that are planning to expand into...
01:18
Second Order systems II
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2024
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. If ζ...
FAQs
A reference frame establishes the viewpoint from which position, displacement, velocity, and acceleration are described. The same object can have different motion measurements when viewed from different frames, so the frame must be identified before comparing observations or predicting behavior. This choice is especially important when analyzing vehicles, projectiles, or interacting objects.
Forces produce changes in motion, and the resulting response depends on both the applied force and the object’s mass. Newton’s laws provide the framework for relating these quantities to acceleration. Examining this relationship helps explain why objects respond differently to similar forces and supports predictions about motion under external influences.
Energy and momentum provide complementary ways to track what happens when objects or particles interact. Energy may be transferred between parts of a system, while momentum describes motion carried through the interaction. When these quantities are conserved, they provide constraints that help researchers evaluate collisions, transfers, and the consistency of a physical model.
Begin by identifying the objects or particles of interest and selecting a reference frame. Track their displacement, velocity, and acceleration, then identify relevant forces and masses. Finally, examine changes in momentum and energy to predict the system’s behavior. This organized sequence connects motion measurements with the physical causes of change.
Experimental study requires tracking how positions change over time and relating those observations to velocity and acceleration. Researchers can then compare measured behavior with predictions based on forces, mass, energy, or momentum. This approach supports experimental measurement and helps assess whether a model accurately represents the motion and interactions within the system.
The framework applies across a broad range of situations, including projectiles, vehicles, machines, fluids, and orbital bodies. In each case, researchers can analyze motion, identify forces, and follow transfers of energy or momentum. Its broad applicability makes the approach useful for studying both engineered systems and natural phenomena across different scales.
A moving-system analysis can be used to predict trajectories, stability, collisions, and responses to external forces. These outcomes arise from combining kinematic descriptions of motion with dynamic analysis of its causes. The results support engineering design, interpretation of experiments, and physical models of how objects or particles behave over time.