Changes in choice representations across rule-based and residual-state decision-making. by R. Becket Ebitz (7841318)

“…This is calculated separately for both residual (red) and rule-based (blue) decisions. Error bars = STE across unique matrix elements, asterisks = significant contrasts in both the example pseudopopulation (all <i>p</i> < 0.001, paired <i>t</i> test) and across pseudopopulations (all <i>p</i> < 0.001, bootstrap test, <b><a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3000951#pbio.3000951.s002" target="_blank">S2 Fig</a></b>). …”

Bacterial groups that showed a significantly decreased abundance after antibiotic treatment (AMC and DOX group) compared to the control group (CON group). by Evangelia M. Stavroulaki (11840809)

BA attenuated the decrease in the integrity and increase in the permeability of the epithelial barrier injury induced by LPS in Caco2 cell monolayers. by Luqiong Liu (11537092)

Cell Types and their Rules. by Bryan Shin (17833689)

Behaviors with a significant main effect or interaction. by Grace Hecker (18813445)

Subjects:

Evolving flocking in embodied agents based on local and global application of Reynolds’ rules by Rita Parada Ramos (7571939)

“…However, only local, fragmented flocking behaviours tend to evolve when fitness scores are based on the individuals’ conformity to Reynolds’ rules. …”

Changes in choice representations across rule-based and residual-state decision-making across pseudopopulations. by R. Becket Ebitz (7841318)

“…This is calculated separately for both rule-based (blue) and residual (red) decisions. Dots = mean across pseudopopulations, error bars = 95% CI, asterisks = significant contrasts, all <i>p</i> < 0.0001. …”

Cross-validated changes in choice representations across rule-based and residual-state decision-making. by R. Becket Ebitz (7841318)

“…Residual choices that shared a feature were not closer together than choices that did not (mean difference = 0.01, 95% CI = [−0.31, 0.33], <i>p</i> = 0.48). However, rule-based choices that shared a feature were more similar than rule-based choices that did not share a feature (mean difference = 0.97, 95% CI = [0.68, 1.27]). …”

Outcome variables and assignment rules. by Kejun Wu (4800972)

Multiple platforms use by working from home: Decreased alcohol use (%). by Karen G. Chartier (11714643)

Subjects:

The significant correlations between the selected variables. by Abdullah H. Alenezy (14241611)

Subjects:

Heat map of <i>S</i>. <i>carpocapsae</i> statistically significant proteins. by Peter E. Lillis (12368582)

Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers. by Luqiong Liu (11537092)

“…<p>(<b>A)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on days 1–22. (<b>B)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on day 22. …”

Y-27632 synergized with BA to alleviate the decrease in the expression of and abnormal localization of ZO-1 and Occludin in LPS-induced Caco2 cells. by Luqiong Liu (11537092)

Average risk tolerance statistics and the tests of equality comparison between two rules. by Teruko Takada (13977607)

Restrictiveness of AFMUC Restriction Rules. by Shumaila Iqbal (22238550)

“…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”

Understandability of AFMUC restriction rules. by Shumaila Iqbal (22238550)

“…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”

Applicability of AFMUC restriction rules. by Shumaila Iqbal (22238550)

“…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”

Digital intellectual property rules in RTAs. by Zehui Yu (8116910)

“…<div><p>Based on the technology complexity data of bilateral digital service exports of 64 representative economies in the world from 2010 to 2021, this paper uses the gravity model to explore the heterogeneous trade effects of Regional Trade Agreements (RTAs) from the perspective of digital intellectual property rules. …”

Grid with 3x3 cells according to the Rule of Thirds. by Erich Tasser (6469177)