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Videos de Conceptos Relacionados

Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

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This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
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Quantifying Work02:30

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As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
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When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
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Factors Affecting Workability01:24

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The workability of concrete is a critical characteristic that influences the ease of mixing, handling, and finishing the concrete. It is affected by several factors including water content, aggregate properties, and admixtures like air entrainment. Water plays a fundamental role as it lubricates the concrete mix, facilitating easier movement and placement. However, the water requirement varies depending on the texture and shape of aggregates. Finer particles and angular, rough-textured...
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Work-energy Theorem01:42

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According to Newton’s second law of motion, the sum of all the forces acting on a particle (net force) determines the rate of change in the momentum of the particle (motion). Therefore, we should consider the work done by all forces acting on a particle, or the net work, to see its effect on the particle’s motion.
The work-energy theorem equates work done by all the forces on an object to the change in its kinetic energy. The theorem can be used to calculate work done by a force...
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Work01:22

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Work is done when energy is transferred from one object to another. In other words, work is when a force acts on something that undergoes a displacement from one position to another. Forces can vary as a function of position, and displacements can be along various paths between two points. The increment of work (dW) done by a force acting through an infinitesimal displacement can be defined as the dot product of force () and displacement () vectors.
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Updated: Feb 26, 2026

Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2
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Gestión de ejecuciones de flujos de trabajo con WESkit

Valentin Schneider-Lunitz1, Philip R Kensche2, Landfried Kraatz1

  • 1Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Germany Berlin.

Bioinformatics (Oxford, England)
|February 24, 2026
PubMed
Resumen
Este resumen es generado por máquina.

WESkit agiliza los flujos de trabajo de investigación biomédica implementando la interfaz del Servicio de Ejecución de Flujos de Trabajo (WES) de la Alianza Global para la Genómica y la Salud (GA4GH). Esto mejora la escalabilidad, la reproducibilidad y la colaboración para proyectos complejos de procesamiento de datos.

Palabras clave:
WESkitGA4GH WESflujo de trabajoinvestigación biomédicaescalabilidadreproducibilidadbioinformáticabiología computacionalgenómica

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Área de la Ciencia:

  • Bioinformática
  • Biología Computacional
  • Genómica

Sus antecedentes:

  • La gestión de flujos de trabajo computacionales complejos en la investigación biomédica presenta desafíos en escalabilidad, reproducibilidad y colaboración.
  • Los diversos proyectos requieren parámetros, herramientas y entornos variables, lo que complica la gestión de los flujos de trabajo.

Objetivo del estudio:

  • Presentar WESkit, una implementación de la interfaz del Servicio de Ejecución de Flujos de Trabajo (WES) de la Alianza Global para la Genómica y la Salud (GA4GH).
  • Agilizar la ejecución, el monitoreo y la documentación de los flujos de trabajo de procesamiento de datos en la investigación biomédica.

Principales métodos:

  • WESkit soporta los sistemas de gestión de flujos de trabajo Snakemake y Nextflow.
  • El sistema está diseñado para una integración perfecta en entornos en la nube, alineándose con el marco de la nube GA4GH.

Principales resultados:

  • WESkit aborda las complejidades en la gestión de numerosas ejecuciones de flujos de trabajo con parámetros variables en diversos proyectos de investigación.
  • Permite la automatización consistente y el monitoreo centralizado para grupos de investigación.

Conclusiones:

  • WESkit facilita la reproducibilidad a largo plazo y la colaboración escalable en la investigación biomédica.
  • El software es adecuado para equipos más grandes y unidades de servicio, mejorando el marco de la nube GA4GH.