Basic information of retrieved datasets. by Li-Hong Chen (610826)

“…However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.</p><p>Methods</p><p>We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. …”

Characteristics of households participating in the SchistoBreak study in Pemba, Tanzania. by Lydia Trippler (10136316)

POriginal blots. by Li-Hong Chen (610826)

“…However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.</p><p>Methods</p><p>We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. …”

PTable S4 Expression validation of CYP1B1. by Li-Hong Chen (610826)

“…However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.</p><p>Methods</p><p>We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. …”

PTable S2 Differentially expressed genes. by Li-Hong Chen (610826)

“…However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.</p><p>Methods</p><p>We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. …”

PTable S5 Markers of each cell cluster. by Li-Hong Chen (610826)

“…However, the function of tryptophan metabolism in the immune characteristics of sepsis still needs to be elucidated.</p><p>Methods</p><p>We collected the datasets from the GEO database to extract data of blood samples RNA of patients with or without sepsis in GSE28750, GSE65682, GSE69528, and GSE137342. …”

Fundus photographs. by Richard C. Trevino (22676460)

“…</p><p>Conclusions</p><p>CVD and older age decreased the ability of optometrists to correctly identify lesions in fundus photographs. …”

A mathematical model of PIF4 autoregulation captures the experimental observations of hypocotyl growth and promoter activity. by Sreya Das (20531295)

CBQoL survey results^‡. by Richard C. Trevino (22676460)

“…</p><p>Conclusions</p><p>CVD and older age decreased the ability of optometrists to correctly identify lesions in fundus photographs. …”

ColorDx performance by EnChroma use^‡. by Richard C. Trevino (22676460)

“…</p><p>Conclusions</p><p>CVD and older age decreased the ability of optometrists to correctly identify lesions in fundus photographs. …”

Patient status overview. by Farayi Kaseke (19560197)

“…<div><p>Background</p><p>In this longitudinal study, we aimed to determine factors influencing survival outcomes among patients with stroke at three tertiary hospitals over a 12-month period. …”

Summary of previous work. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparative experimental results. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Dataset for insulator defect detection. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

YOLOV8. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”