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Diagram of the Pearson correlation coefficient matrix for input features.

Journal: ACS Omega

Article Title: Performance Prediction and Heating Parameter Optimization of Organic-Rich Shale In Situ Conversion Based on Numerical Simulation and Artificial Intelligence Algorithms

doi: 10.1021/acsomega.4c00323

Figure Lengend Snippet: Diagram of the Pearson correlation coefficient matrix for input features.

Article Snippet: Based on eq , the Pearson correlation coefficient matrix map between input factors was drawn using MATLAB, as shown in Figure .

Techniques:

Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise Pearson cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).

Journal: Scientific Reports

Article Title: Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues

doi: 10.1038/s41598-021-01616-5

Figure Lengend Snippet: Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise Pearson cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).

Article Snippet: MATLAB code was used to create a Pearson cross-correlation matrix from the single-cell calcium transients extracted from the FluoroSNNAP output (CalciumSignalProcessing: https://github.com/neuromotion/CalciumSignalProcessing ).

Techniques: Activity Assay, Functional Assay, In Vitro