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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
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Modular Adaptive Processing Infrastructure (MAPI): a blueprint for interconnecting generic workflows with modern

Aljoša Hafner1, George Kourousias1, Marco De Simone1

  • 1Elettra Sincrotrone Trieste, SS 14 km 163,5 in Area Science Park, 34149 Basovizza, Trieste, Italy.

Journal of Synchrotron Radiation
|November 13, 2025
PubMed
Summary
This summary is machine-generated.

This paper introduces the Modular Adaptive Processing Infrastructure (MAPI), a flexible software suite that streamlines scientific data analysis. MAPI integrates various tools into a web platform, supporting distributed processing for diverse research needs.

Keywords:
computed tomographydata analysisscientific computingsoftware architecture

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Area of Science:

  • Scientific computing
  • Data analysis infrastructure

Background:

  • Scientific research laboratories face challenges in streamlining complex data analysis workflows.
  • Integrating diverse computational frameworks and toolkits is a significant hurdle.

Purpose of the Study:

  • To introduce the Modular Adaptive Processing Infrastructure (MAPI), a novel software suite and approach.
  • To provide a modular, adaptable, and web-based platform for scientific data analysis.

Main Methods:

  • MAPI integrates multiple software frameworks and toolkits into a unified platform.
  • It supports distributed processing across heterogeneous backends, including edge, on-premises, HPC, and cloud.
  • The infrastructure is designed as a flexible 'recipe' adaptable to specific experimental needs.

Main Results:

  • MAPI was successfully implemented on an X-ray computed tomography (CT) beamline, creating the System for Tomographic Processing (STP3).
  • The case study demonstrated MAPI's effectiveness in handling complex computational demands.
  • Production deployment on Elettra's SYRMEP beamline using GPU servers yielded positive results, with ongoing deployments on other beamlines.

Conclusions:

  • MAPI offers a robust and adaptable solution for enhancing scientific data analysis workflows.
  • Its modular design and distributed processing capabilities position it for widespread adoption in research environments.
  • The successful implementation on a CT beamline validates its potential for diverse scientific applications.