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In this study, we address this question by directly assessing students' scientific reasoning in writing undergraduate honors theses as the primary learning outcome and relating that assessment to structural aspects of students' concept maps generated to facilitate writing.
The genetic maps generated to date have utilized the following markers; random amplified polymorphic DNA (RAPDs) [[ 8],[ 9]], RFLPs [[ 10]-[ 13]] and amplified fragment length polymorphism (AFLPs) [[ 14]-[ 16]] and simple sequence repeats (SSRs) [[ 17],[ 18]].
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The TEC maps are generated to investigate the storm time development/inhibition of equatorial ionization anomaly (EIA).
Comparative field analysis (CoMFA) contour maps were generated to depict the structural features and molecular docking was performed to understand the possible binding mode of these inhibitors.
Topomer CoMFA steric, electrostatic, and HQSAR atomic contribution maps were generated to analyze the structural features of this data set that govern their affinity potency.
Estimation difference maps were generated to compare the results of each method, providing more straightforward realizations in a visual way.
Heat maps were generated to represent the orthologous positions of bidirectional promoters.
Semantic network maps were generated to visualize connections between these terms.
SPM t) maps were generated to assess the effects of Task and Group, and the interaction of these factors.
Three different maps were generated to represent the alignment of ICPA 2039 genome with the three other genomes.
Bridge maps were generated to explore the relative agreement on rating variables between clusters and across provider and patient groups.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com