Journal: Behavior Research Methods

Article Title: The underwood project: A virtual environment for eliciting ambiguous threat

doi: 10.3758/s13428-022-02002-3

Figure Lengend Snippet: Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the partial least squares (PLS) analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)

Article Snippet: For a partial least squares (PLS) analysis, we used the PLS command line package (Version 6.15, 2015) in MATLAB R2021a.

Techniques:

Journal: PLOS Computational Biology

Article Title: An automated interface for sedimentation velocity analysis in SEDFIT

doi: 10.1371/journal.pcbi.1011454

Figure Lengend Snippet: Top: Scan files and best fit (for clarity, showing black dots only for every 2 nd data point of every 2 nd scan) with a c ( s ) model automatically converged to a final rmsd of 0.006743 OD (colored lines). Progression of scan time is indicated by color from purple to red. Middle and Bottom: Residuals bitmap and residuals overlay. Plot was made using the software GUSSI , which is spawned from the script mlSEDFIT.

Article Snippet: SEDFIT version 16.50 equipped with the command line interface, as well as the source code of an accompanying family of MATLAB scripts mlSEDFIT can be freely downloaded from sedfitsedphat.nibib.nih.gov/software.

Techniques: Software

Journal: PLOS Computational Biology

Article Title: An automated interface for sedimentation velocity analysis in SEDFIT

doi: 10.1371/journal.pcbi.1011454

Figure Lengend Snippet: The distribution from command line operation , and exhibits a monomer peak at 6.477 S with 29.20% of signal, a trace degradation product at 4.199 S with 0.95% of signal, a dimer peak at 9.473 S with 12.51% of signal, and higher aggregates with collective s w 16.799 S and 51.77% of signal. The analogous manually operated analysis producing a monomer peak at 6.481 S with 29.27% of signal, a degradation product of 4.178S with 0.92% of the signal, a dimer peak at 9.488 S with 12.51% of signal, and higher aggregates with collective s w of 16.81 S with 51.73% of signal. Integration and plot were made using the software GUSSI , which can be spawned from the script mlSEDFIT.

Article Snippet: SEDFIT version 16.50 equipped with the command line interface, as well as the source code of an accompanying family of MATLAB scripts mlSEDFIT can be freely downloaded from sedfitsedphat.nibib.nih.gov/software.

Techniques: Software

Journal: PLOS Computational Biology

Article Title: An automated interface for sedimentation velocity analysis in SEDFIT

doi: 10.1371/journal.pcbi.1011454

Figure Lengend Snippet: The output generated through the command line interface can be read in the mlSEDFIT script. For example, integration of distribution peaks can be carried out in this script after mouse clicks on the peaks in the distribution plot, as shown.

Article Snippet: SEDFIT version 16.50 equipped with the command line interface, as well as the source code of an accompanying family of MATLAB scripts mlSEDFIT can be freely downloaded from sedfitsedphat.nibib.nih.gov/software.

Techniques: Generated