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

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... حسب Robert Trybulski (10998702)

Rule-based prompting. حسب Talya Natanya (22574382)

NN analysis to assign the importance of variables. حسب Sulmaz Ghahramani (3387635)

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

الموضوعات:

Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... حسب Mobina Faqani (22783963)

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

Positional cloning of <i>qNN1</i> on chromosome 16. حسب Xinxin Li (281237)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... حسب Mobina Faqani (22783963)

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

الموضوعات:

The number of gauging cross-sections where a statistically significant decreasing trend was identified. حسب Krzysztof Kochanek (835532)

Mean decrease Gini score by Tweet and user characteristics. حسب Gray Babbs (16648894)

<i>GmNN1/FT2a</i> expression analysis. حسب Xinxin Li (281237)

Decrease of the mean number of natural teeth and POPs with age. حسب Sul-Hee Kim (11873853)

Relocation rule. حسب Junghun Yang (19165379)

Adjusted means and 95% confidence interval of blood pressure change from baseline to the follow-up in different general or abdominal obesity status change groups. حسب Yi-de Yang (6755798)

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. حسب Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. حسب Xinxin Li (281237)

Fusion rule set. حسب 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. …"

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