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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Correction to: Investigating the parameter space of evolutionary algorithms.

Moshe Sipper1,2, Weixuan Fu1, Karuna Ahuja1

  • 11Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104-6021 USA.

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This summary is machine-generated.

This study corrects a previous article DOI. The correct DOI is now available for citation and reference purposes.

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Area of Science:

  • Bibliometrics
  • Scientific publishing

Context:

  • Correction of article DOI is essential for accurate citation.
  • Ensuring the integrity of scientific literature.

Purpose:

  • To provide the correct Digital Object Identifier (DOI) for a published article.
  • To rectify an error in the original publication's metadata.

Summary:

  • The article DOI: 10.1186/s13040-018-0164-x has been corrected.
  • This ensures proper referencing and access to the scientific work.

Impact:

  • Improved discoverability of the research article.
  • Facilitates accurate citation tracking and scholarly communication.