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Related Concept Videos

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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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Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
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Bioreactor Design and Operational System01:29

Bioreactor Design and Operational System

Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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Related Experiment Video

Updated: Jul 3, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

RIBDB: an SRS based infrastructure for REALIS.

Peter Rice1, Bijay Jassal, Antoine de Daruvar

  • 1LION Bioscience Ltd, Compass House, 80-82 Newmarket Rd, Cambridge CB5 8DZ, UK. peter.rice@uk.lionbioscience.com

Comparative and Functional Genomics
|July 17, 2008
PubMed
Summary
This summary is machine-generated.

The REALIS project analyzes the food pathogen Listeria monocytogenes using the RIBDB database. This EU-funded initiative integrates diverse data for comprehensive post-genomic analysis of this pathogen.

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Last Updated: Jul 3, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

  • Food safety microbiology
  • Genomics and bioinformatics
  • European Union research initiatives

Background:

  • Listeria monocytogenes is a significant foodborne pathogen.
  • Post-genomic analysis requires integrated data resources.
  • EU-funded projects facilitate collaborative research.

Purpose of the Study:

  • To establish a centralized data repository for Listeria monocytogenes research.
  • To support post-genomic analysis of Listeria monocytogenes.
  • To facilitate data sharing and analysis among consortium members.

Main Methods:

  • Development of the RIBDB database using SRS.
  • Integration of consortium-generated data with public databases.
  • Web server deployment for consortium access.

Main Results:

  • A unified database (RIBDB) for Listeria monocytogenes data.
  • Integration of internal and external data sources.
  • Accessible platform for data analysis.

Conclusions:

  • The RIBDB database provides a valuable resource for Listeria monocytogenes research.
  • Integrated data facilitates advanced post-genomic analysis.
  • The REALIS project enhances collaborative research capabilities.