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Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
Typical Model Studies01:30

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
Gradually Varying Flow01:29

Gradually Varying Flow

Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...

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Video Experimental Relacionado

Updated: May 12, 2026

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
13:40

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Published on: September 8, 2011

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Protocolo para investigar la modulación de la memoria de trabajo del procesamiento de señales visuales en la corteza

Majid Roshanaei1, Mohammad Reza Daliri1, Zahra Bahmani2

  • 1Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16846-13114, Iran.

STAR protocols
|August 27, 2025
PubMed
Resumen

Este estudio describe un protocolo para examinar cómo la memoria de trabajo influye en el procesamiento visual en el cerebro. Detalla los métodos para registrar la actividad neuronal durante una tarea de memoria de trabajo espacial en monos.

Palabras clave:
ComportamientoLa neurociencia cognitivaLa neurociencia

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Área de la Ciencia:

  • La neurociencia
  • La neurociencia cognitiva
  • Investigación sobre los primates

Sus antecedentes:

  • La corteza extrastriada es crucial para el procesamiento de señales visuales.
  • Comprender la influencia de los estados cognitivos como la memoria de trabajo en la actividad neuronal es vital.

Objetivo del estudio:

  • Presentar un protocolo detallado para investigar el impacto de la memoria de trabajo en el procesamiento de señales visuales.
  • Establecer una metodología para el registro y análisis de datos neuronales en respuesta a estímulos visuales bajo carga de memoria de trabajo.

Principales métodos:

  • Una tarea de memoria de trabajo espacial fue diseñada para monos.
  • Los potenciales de campo locales (LFP) y la actividad de picos se registraron en las neuronas temporales medias (MT).
  • Se realizó un preprocesamiento y análisis de los datos de LFP utilizando coherencia entre ensayos (ITC) para determinar los tiempos de llegada de la señal visual.

Principales resultados:

  • El protocolo permite la medición de los tiempos de llegada de la señal visual en la corteza extrastriada.
  • Permite la investigación de cómo la memoria de trabajo modula las respuestas neuronales.

Conclusiones:

  • Este protocolo proporciona un marco para estudiar la interacción entre la memoria de trabajo y la percepción visual.
  • Facilita la investigación futura en los mecanismos neuronales que subyacen al control cognitivo del procesamiento sensorial.