A range of fits to the human data set across different tuning parameter values with the top 1% of outliers displayed using the method presented in the main text for human data. by Vivaswat Shastry (18176036)

The 20 most common procedures. by Sixten Melander (22521804)

“…The most dramatic decrease was found in county hospitals where elective surgery was reduced by 28% and the largest effect was found in Ear, Nose, and Throat/oral surgery (−34%). …”

Number of procedures during the four waves. by Sixten Melander (22521804)

“…The most dramatic decrease was found in county hospitals where elective surgery was reduced by 28% and the largest effect was found in Ear, Nose, and Throat/oral surgery (−34%). …”

Cases and ICU admissions throughout the pandemic. by Sixten Melander (22521804)

Polylactic Acid/Polybutylene Adipate Terephthalate-Carbon Nanotube Nanobiocomposites with a Segregated Toughening Morphology Yielding Large Ductility for Biocompatible Materials by Utsab Ayan (18552401)

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Age at school entry, incidence of grade repetition, incidence of dropout, and baseline characteristics of participants. by Rabi Joël Gansaonré (20416803)

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Change^a in incidence of repetition [95% confidence interval]. by Rabi Joël Gansaonré (20416803)

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Change^a in age at school entry [95% confidence interval]. by Rabi Joël Gansaonré (20416803)

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Predicted^* incidence of repetition by level of height-for-age. by Rabi Joël Gansaonré (20416803)

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Predicted^* incidence of dropout by level of height-for-age. by Rabi Joël Gansaonré (20416803)

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Flow chart describing samples. by Rabi Joël Gansaonré (20416803)

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Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Space-to-depth convolution. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data augmentation. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Side angle tea picking. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Comparison results of ablation experiments. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Table of dataset division. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Striking image. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Precision, recall, F1-Score curve. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Model comparison experimental results. by Chunhua Yang (346871)

“…Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”