Search alternatives:
significant rule » significant role (Expand Search), significant rise (Expand Search), significant cause (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
significant rule » significant role (Expand Search), significant rise (Expand Search), significant cause (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), mean decrease (Expand Search)
-
41
-
42
AFMUC- Restriction Rules.
Published 2025“…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. …”
-
43
Changes in choice representations across rule-based and residual-state decision-making.
Published 2020“…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>). …”
-
44
-
45
Evolving flocking in embodied agents based on local and global application of Reynolds’ rules
Published 2019“…However, only local, fragmented flocking behaviours tend to evolve when fitness scores are based on the individuals’ conformity to Reynolds’ rules. …”
-
46
Changes in choice representations across rule-based and residual-state decision-making across pseudopopulations.
Published 2020“…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. …”
-
47
Cross-validated changes in choice representations across rule-based and residual-state decision-making.
Published 2020“…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]). …”
-
48
-
49
-
50
-
51
-
52
Restrictiveness of AFMUC Restriction Rules.
Published 2025“…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. …”
-
53
Understandability of AFMUC restriction rules.
Published 2025“…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. …”
-
54
Applicability of AFMUC restriction rules.
Published 2025“…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. …”
-
55
Digital intellectual property rules in RTAs.
Published 2025“…<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. …”
-
56
-
57
-
58
-
59
-
60