Decrease in loss during the training process. by Muhammad Idrees (92773)

Kolmogorov-Smirnov (KS) test for the different parameter value pairs at a 95% confidence level. We tested the null hypothesis for all parameters: The RMSEs obtained for one pair of... by Cyrine Chenaoui (22177098)

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

AI KRegression by CHIN-CHENG CHU (20718575)

All TPM values. by Hyuk Sung Yoon (20208672)

Salience of authority-vice phrases by year. by Daniel Hart (440152)

“…Similarly, we anticipated that the salience of phrases consistent with fidelity to members of one’s social group (“allegiance”, “one for all”, <i>loyalty-virtue</i>), would decrease, and those suggestive of social corrosion (“betrays”, “back stabs”, <i>loyalty-vice</i>) would increase. …”

Salience of fear words by year by country. by Daniel Hart (440152)

“…Similarly, we anticipated that the salience of phrases consistent with fidelity to members of one’s social group (“allegiance”, “one for all”, <i>loyalty-virtue</i>), would decrease, and those suggestive of social corrosion (“betrays”, “back stabs”, <i>loyalty-vice</i>) would increase. …”

Salience of authority-virtue phrases by year. by Daniel Hart (440152)

“…Similarly, we anticipated that the salience of phrases consistent with fidelity to members of one’s social group (“allegiance”, “one for all”, <i>loyalty-virtue</i>), would decrease, and those suggestive of social corrosion (“betrays”, “back stabs”, <i>loyalty-vice</i>) would increase. …”

Salience of loyalty-virtue phrases by year. by Daniel Hart (440152)

“…Similarly, we anticipated that the salience of phrases consistent with fidelity to members of one’s social group (“allegiance”, “one for all”, <i>loyalty-virtue</i>), would decrease, and those suggestive of social corrosion (“betrays”, “back stabs”, <i>loyalty-vice</i>) would increase. …”

Salience of loyalty-vice phrases by year. by Daniel Hart (440152)

“…Similarly, we anticipated that the salience of phrases consistent with fidelity to members of one’s social group (“allegiance”, “one for all”, <i>loyalty-virtue</i>), would decrease, and those suggestive of social corrosion (“betrays”, “back stabs”, <i>loyalty-vice</i>) would increase. …”

Salience of vice and virtue by year in U.S. by Daniel Hart (440152)

“…Similarly, we anticipated that the salience of phrases consistent with fidelity to members of one’s social group (“allegiance”, “one for all”, <i>loyalty-virtue</i>), would decrease, and those suggestive of social corrosion (“betrays”, “back stabs”, <i>loyalty-vice</i>) would increase. …”

Characteristic size values. by Junxia Zhou (14381598)

Paeameter ranges and optimal values. by Zhen Zhao (159931)

Predicting pattern diversity decreases as a function of and . by Selim Haj Ali (21222613)

“…(a) and (b): Average negative predictive value for and , respectively for and . (b) and (d): Average proportion of cases predicted as pattern diversity decreases for and , respectively for and .…”

Values for all quantifications. by Sravya Paluri (5475260)

Comparison of different P-values. by Mengyao Zhou (9266132)

Estimated mean values for light interception. by Torsten Schober (20485754)

An illustration for the lineages identification procedure. Left panel: Each leaf represents a cell, characterized by its measured set of barcodes, denoted as . Each individual barc... by Nava Leibovich (12908477)

E₅₀ values. by Junxia Zhou (14381598)

Numerical values underlying all Figs. by Juliana Zimmermann (10507091)