Demographic distributions of the patients and significant differences between the training and test datasets. by Kenta Ninomiya (9969368)

Properties of base asphalt. by Guang Yang (154978)

“…The results show that when the mass fractions of SBS, MOS and deodorant are 3%, 3% and 0.15%, respectively, 53% of asphalt fume can be effectively reduced, and the odor intensity grade can be significantly lowered. Based on FTIR and SEM analysis, the structural composition of modified asphalt was studied. …”

The threshold-based (TB) method. by Zsófia Gregor (10582170)

Benchmark of base pair covariation. by Elena Rivas (7973)

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Time-based performance indicators. by Daniel Trotzky (11534564)

Significance analysis of path coefficients. by Xiangge Zhao (18264780)

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Heterogeneity results based on earthquake frequency. by Lei Gao (6566)

Team subsets based on fan expectations. by Francesco Addesa (11836236)

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Heterogeneity results based on geographic location. by Lei Gao (6566)

Results for the base model. by Giovanni Colavizza (5511323)

Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

Significantly different regions across six focus conditions and the baseline for Japanese monosyllabic targets based on functional t-tests (Marginally significant differences are marked in parentheses). by Si Chen (164760)

“…<p>Significantly different regions across six focus conditions and the baseline for Japanese monosyllabic targets based on functional t-tests (Marginally significant differences are marked in parentheses).…”

PBMT parameters. by Katayoon Montazeri (18389243)

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Base-case results based on evidence from randomized controlled trials (means and ranges). The comparator is no intervention. by Afschin Gandjour (342184)

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Anova results for significance testing. by Ameer Ahmed (17778236)

Distribution of key metrics for assessing gene block and individual gene significance across PLS-based methods. by Muhammad Tahir (741682)

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Summary of significant clusters composition from the seed-based connectivity analysis of the brainstem (covering ≥ 10% of the regions). by Sadeq Mohammadi (22622219)

“…<p>Summary of significant clusters composition from the seed-based connectivity analysis of the brainstem (covering ≥ 10% of the regions).…”

<i>In vivo</i> voxel based morphometry identified a significant interaction between time and training. by Alexandra Badea (352052)

Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?Based on Conversations with LLMs by Dong-Xu Cui (313379)

Bacterial groups that significantly changed over time within the control group based on qPCR analysis. by Evangelia M. Stavroulaki (11840809)