Percent Decrease in FGM between Oldest (45-49 years) and Youngest (15-19 years) Cohorts of Women over the years in Egypt. حسب Shatha Elnakib (8901764)

Total task duration boxplots. Horizontal black dashed lines mark the target task duration (3 + 3 = 6) s and (1 + 1 = 2) s. حسب Jonas Kirsch (20642910)

Carbon emissions from grain. حسب Xidong Zhang (6336488)

Relative coefficient of grain carbon emission. حسب Xidong Zhang (6336488)

Relative coefficient of grain carbon emission. حسب Xidong Zhang (6336488)

AI KRegression حسب CHIN-CHENG CHU (20718575)

Schematic representation of the study protocol. حسب Neng Pan (5262032)

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Baseline characteristics. حسب Neng Pan (5262032)

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Comparison within groups. حسب Neng Pan (5262032)

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Comparison before and after the experiment in each group. حسب Neng Pan (5262032)

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Data ste. حسب Neng Pan (5262032)

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Comparison of data after the experiment. حسب Neng Pan (5262032)

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Correlation diagram of each parameter in each group. حسب Neng Pan (5262032)

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Recruitment process. حسب Neng Pan (5262032)

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Comparison of post-experimental outcome measures. حسب Neng Pan (5262032)

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(a)Raw soil; (b) The grain size distribution. حسب Chenhao Li (822769)

Minimal data set. حسب Xiaoxia Liu (294088)

"…Additionally, the presence of oscillatory flow markedly promotes the grain refinement induced by the Soret effect.…"

A novel RNN architecture to improve the precision of ship trajectory predictions حسب 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. …"

Parameters required for model training. حسب Yuyin Zhao (19751483)

Training dynamics of the proposed model for Fold 0. حسب Celina Rieck (22574722)

"…The blue curves correspond to training, the orange curves to validation. The green vertical line marks the start of fine-tuning of the pretrained backbone, after which both accuracy improves and loss decreases. …"