TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Explanation of condition nodes and decision nodes in the SCM, ordered by decreasing centrality. by Stella D. Juventia (19961247)

TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

“…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. …”

Changes in blood pressure, HbA1c, blood lipid and liver function-related indicator values compared with baseline values in all patients over time. by Jia Song (495396)

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Calculation of peak force and impulse values from trial with overlap. by Leena Inkilä (20614460)

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Calculation of peak force and impulse values from force plate data. by Leena Inkilä (20614460)

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Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence. Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown. by Harry Saxton (19165441)

“…Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown.…”

Table of values for <i>p.</i> by Long Di (9977453)

Changes in inflammatory cytokine levels compared with baseline values in all patients over time. by Jia Song (495396)

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Changes in the UACR and urinary β2-MG levels compared with baseline values over time. by Jia Song (495396)

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Data values for figures. by Fermin E. Guerra (6084545)

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Changes in the eGFRs and serum potassium levels compared with baseline values in all patients over time. by Jia Song (495396)

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Results obtained from different regression models along with their respective AIC values. by Farzana Afroz (20700794)

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Changes in the eGFRs and serum potassium levels compared with values at the end of 1 month of treatment in all patients over time. by Jia Song (495396)

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Observed values, synthetic control estimates, causal effects, with confidence intervals, by country and moral foundation. by Daniel Hart (440152)

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Lymphocytes decreased in mouse pneumonia model. by Qi Xu (134661)

The values calculated for the inhibitor dissociation constant, as detailed in Eqs 10 and 11 and approximated values for the binding rate constants of the inhibitors. by J. Roadnight Sheehan (20141887)

<i>r</i>² values for <i>α</i> relationships. by James Cushway (19942288)