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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
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Related Experiment Video

Updated: Jan 20, 2026

Large-Scale Screens of Metagenomic Libraries
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PyParadigm-A Python Library to Build Screens in a Declarative Way.

Felix G Knorr1, Johannes Petzold1, Michael Marxen1

  • 1Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.

Frontiers in Neuroinformatics
|August 29, 2019
PubMed
Summary
This summary is machine-generated.

PyParadigm is a new Python library that simplifies creating computer-based experimental paradigms. Its declarative approach reduces coding effort for developing user interfaces (UIs) for psychological research.

Keywords:
2DPythondeclarative UIexperimental psychologylibraryparadigm

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Area of Science:

  • Experimental Psychology
  • Human-Computer Interaction
  • Software Development

Background:

  • Developing computer-based experimental paradigms is often labor-intensive.
  • Existing tools may require significant coding expertise and training.

Purpose of the Study:

  • Introduce PyParadigm, a novel Python library designed to streamline UI development for experimental paradigms.
  • Demonstrate PyParadigm's declarative approach for efficient UI creation.

Main Methods:

  • Developed PyParadigm as a Python library.
  • Utilized a declarative approach for UI specification.
  • Designed for creating and interacting with 2D objects.

Main Results:

  • PyParadigm significantly reduces the code and training required for UI development.
  • The library facilitates the creation of complex experimental paradigms.
  • It is versatile for general 2D UI applications beyond experimental psychology.

Conclusions:

  • PyParadigm offers an efficient and accessible solution for researchers and developers building experimental UIs.
  • The declarative method enhances usability and reduces development time.
  • Its applicability extends to various 2D interactive applications.