The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

The image illustrates the five steps of the experiment. by Deborah Ribeiro Frazão (9188152)

The distribution map of flat spectral shape index. by Desheng Xie (21439869)

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

The mean and standard deviation of outcome measures. by Soheila Qanbari (20455173)

Comparison of diffusion simulations: implicit scheme of the GDE with a 30-second time step (blue line), implicit scheme of the PNGM with α = 0.6 and a 15-second time step (green li... by Mouad Klai (20818364)

Spearman’s correlation matrix of weather conditions, both mean (x̄) and maximum, against daily number of visits to the water trough, mean water intake per visit, and mean water int... by M. Jordana Rivero (14610947)

Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

Relationship between axial strain and time curve. by Dengke Yang (842532)

Subjects:

Sequential viral exposure shapes immune cell profiles in mucosal tissues. by Yuhao Li (1559569)

Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error manual calculation process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error measurement results statistics. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Modal shape of the gyration platform. by Shan Gao (46743)

Splenocytes from Tcj2 mRNA LNP—Immunized mice decrease <i>T</i>. <i>cruzi</i> infection <i>in vitro</i>. by Leroy Versteeg (4248760)

Uganda 2023 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

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Uganda 2014 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

Subjects:

Fabric anisotropy evolution of numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

Elevated concentrations of serum MMA among participants with decreased cognitive performance. by Yige Liu (11940344)