List of significant association rules. by Mahmoud Alfadel (8721360)

Rule-based prompting. by Talya Natanya (22574382)

Species richness decreases significantly with increasing percent disturbance. by Catherine L. Cardelús (6429320)

Gut richness and diversity decrease significantly by week 5 of chemoradiotherapy. by Molly B. El Alam (10231830)

Results of rule-based approach for Urdu language. by Ehtesham Hashmi (21540048)

Subjects:

Vibriocidal activities were significantly decreased by depletion of IgM in serum. by Jae Seung Yang (701319)

Strength of moderating effects based on the rule of Cohen 1998. by Anh Duc Do (12311381)

Ranges of significant and not-significant ATEs for Roman Urdu. by Ehtesham Hashmi (21540048)

Subjects:

Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

The size effects for each variable as the coefficient decrease to zero with increasing lambda. by Chulyoung Cho (18397361)

Compressed sensing decoded pooled testing significantly decreases the number of tests required to identify infected samples. by Kody A. Waldstein (14002708)

Relocation rule. by Junghun Yang (19165379)

Overexpression of Gαq decreases cell number and cell size. by Dharsan K. Soundarrajan (11632145)

“…Overexpression of Gαq in the pouch results in a decrease in total wing area, cell number and cell size. 10 samples were analyzed per condition. …”

Average effect size decreased as sample size increased for all types of analyses (<i>p</i> < .001). by Luke J. Ney (12621627)

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

Fusion rule set. by Yandong Liu (11893664)

“…Next, we identify regions of interest in each frame of the video sequence, focusing on frames that exhibit significant changes. The multi-agent fusion model then perceives the key distinguishing features between the images to be fused, deploys the appropriate fusion agents, and employs the effectiveness of fusion to infer and determine the fusion algorithms, rules, and parameters, ultimately selecting the optimal fusion strategy. …”

Patients with high baseline gut richness and diversity have significantly greater decreases in diversity over time. by Molly B. El Alam (10231830)

Top mRNAs based on repeat count in early-stage and late-stage rules. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

Twenty of the top early-stage and late-stage rules based on sorted lift value. by Seyed Mahdi Hosseiniyan Khatibi (16791475)