Group-based descriptive statistics and effect sizes. by Murat Tutar (22250461)

Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)

State transition dynamics of reputation considering third-order information and multiple reputation values: by Hitoshi Yamamoto (738861)

The total sample size from the 2005, 2010, 2014, and 2022 CDHS. by Samnang Um (14990562)

AI KRegression by CHIN-CHENG CHU (20718575)

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Unadjusted mean (SD) volume (ml) of beer sold per day, overall and by serving size, and volume of wine (ml) sold of premises included in primary analysis (<i>n</i> = 12). by Eleni Mantzari (6991172)

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Heteroscedastic linear mixed model main results, estimating the volume (ml) of beer sold per day on the transformed (cube root) scale, on the original scale and on the relative sca... by Eleni Mantzari (6991172)

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Characteristics of participating licensed premises. by Eleni Mantzari (6991172)

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Flow of premises through the study. by Eleni Mantzari (6991172)

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Change in daily volume of beer sold (% (95% CI) with intervention. by Eleni Mantzari (6991172)

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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Basis spread regression results – Soybeans. by Theodoros Skevas (6728168)

“…On average, the U.S. accounts for one-third of global corn and soybean production from 2012/13 to 2020/21, so the infrastructure to move crops from the main growing region to the nation’s ports is critical to global crop and food markets. …”

Basis spread regression results – Corn. by Theodoros Skevas (6728168)

“…On average, the U.S. accounts for one-third of global corn and soybean production from 2012/13 to 2020/21, so the infrastructure to move crops from the main growing region to the nation’s ports is critical to global crop and food markets. …”

Fig 9 - by Torsten Schober (20485754)

Grid independence test. by Zhen Zhao (159931)

“…The situation in scheme 3 is relatively mild and the probability of sand particles depositing in the channel decreases. The flow channel structure was further optimized based on the original foundation and eight types of sand particles with different sizes were selected for anti clogging experiments. …”