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Related Concept Videos

Virtual Work01:20

Virtual Work

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The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
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Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
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Principle of Virtual Work: Problem Solving01:13

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The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
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Capillary Exchange01:28

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The cardiovascular system's chief role is to disseminate gases, nutrients, waste, and other substances to the body's cells. Small molecules like gases, lipids, and lipid-soluble substances directly diffuse through capillary wall endothelial cell membranes. Glucose, amino acids, and ions, including sodium, potassium, calcium, and chloride, use transporters for facilitated diffusion via membrane-specific channels. Glucose, ions, and bigger molecules may also pass through intercellular...
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Virtual Work for a System of Connected Rigid Bodies01:06

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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Methods Of Healthcare Delivery System01:26

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
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On-demand virtual research environments using microservices.

Marco Capuccini1,2, Anders Larsson3, Matteo Carone2

  • 1Department of Information Technology, Uppsala University, Uppsala, Sweden.

Peerj. Computer Science
|April 5, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a flexible, microservice-based approach for scientific computing, enabling on-demand virtual research environments. This methodology enhances scalability and vendor independence for complex research pipelines.

Keywords:
Application containersCloud computingMicroservicesOrchestrationVirtual research environments

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Area of Science:

  • Computer Science
  • Computational Science
  • Life Sciences

Background:

  • Increasing computational demands in scientific research necessitate flexible resource allocation.
  • Traditional cloud infrastructure-as-a-service models lack the agility required by scientists.
  • Existing solutions do not fully address the need for dynamic and scalable research environments.

Purpose of the Study:

  • To present a microservice-oriented methodology for scientific applications.
  • To enable on-demand, virtual research environments using software containers.
  • To offer a vendor-agnostic, scalable solution for managing scientific pipelines.

Main Methods:

  • Developed a microservice-oriented methodology for scientific applications.
  • Utilized software containers for distributed orchestration.
  • Created an open-source implementation supporting major cloud providers.

Main Results:

  • Demonstrated the applicability and scalability of the methodology in life science applications.
  • The open-source implementation provides scalable management of scientific pipelines.
  • The approach offers a flexible alternative to traditional cloud services.

Conclusions:

  • The proposed microservice methodology provides on-demand, virtual research environments.
  • The system is vendor-agnostic, scalable, and applicable across scientific domains.
  • This approach enhances the flexibility and efficiency of scientific computing.