Increase in the total probability of reward delivery decreases the reaction time of mice. by Junior Samuel López-Yépez (11565550)

Converting scheduling problem into the optimal decision-making ML classification problem. by Simon Taub (12262035)

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SMOTE increases sensitivity, positive predictive value, but reduces specificity and increases mean absolute error. by Daniel A. Adler (12468970)

Deletion of C3 and C3aR reversed <i>S. aureus</i>-induced decrease in synapse density and increase in microglial phagocytosis of synapses. by Haifang Zhang (314544)

Significant predictors of PTSD trajectories among postpartum women, Northwest Ethiopia, 2021. by Marelign Tilahun Malaju (12401482)

Main feature classes used to train the OCS algorithm for task-scheduling problems. by Simon Taub (12262035)

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Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…We found that colony losses during the rainy season decreased with higher abundance of forested areas and increased with higher abundance of agricultural area around meliponaries. …”

Summary of the earliest time point for significant WD-induced changes in NASH-associated markers. by Melinda H. Spooner (6551933)

Decomposition of the Total Effect of statistically significant key independent variables on PTSD trajectories into Direct and Indirect Effects using the KHB method among postpartum... by Marelign Tilahun Malaju (12401482)

The performance of optimal strategies under various levels of noise in the underlying data. by Simon Taub (12262035)

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Fig 4 - by Simon Taub (12262035)

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Pseudo code describing the process of generating an exhaustively optimal decision tree. by Simon Taub (12262035)

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Fig 5 - by Simon Taub (12262035)

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The relative performance of the CART and exhaustive scheduling algorithms. by Simon Taub (12262035)

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Fig 3 - by Simon Taub (12262035)

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Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and post-test. by Maria Anna Donati (6735548)

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Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and post-test (<i>n</i> = 900). by Maria Anna Donati (6735548)

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Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and post-test by age groups (<i>n</i> = 900). by Maria Anna Donati (6735548)

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Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and follow-up (<i>n</i> = 662). by Maria Anna Donati (6735548)

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Percentage of correct responses for each item of the achievement test. by Maria Anna Donati (6735548)

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