Chemical structure of a lignan. by Zhaoping Meng (4875040)

“…Under stress conditions, intracellular ROS levels increased, and a significant portion of primary metabolites were used for the biosynthesis of secondary metabolites with higher antioxidant activity. …”

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

“…When the AI model is correct, the explanation decreases decision time significantly, while it does not increase the decision time for incorrect decisions.…”

List of primers used in quantitative RT-PCR. by Tarek A. Essa (22430744)

“…The results demonstrated that NPs significantly reduced basal rot symptoms and decreased the Area Under the Disease Progress Curve (AUDPC) values. …”

R project including metadata update. by Frederik Stein (22146203)

“…To enhance BOLD’s reliability, we propose improvements to submission and post-submission processes. …”

Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

“…To enhance BOLD’s reliability, we propose improvements to submission and post-submission processes. …”

Microhardness vs. depth diagram of sample No. 6 ( by Van-Thuc Nguyen (19469762)

“…These phases’ diversity results from their rapid heating and cooling rates as well as the significant variations in cooling rates among depths. …”

Parameter of qualitative analysis. by Marta Ramos-Barbero (22553199)

“…Additionally, MDA levels significantly decreased in the HT group, indicating reduced oxidative stress. …”

Fig 4 - by Nehal Shawky Nagy (17721213)

“…Different superscripts on the columns are significantly different at p≤0.05.</p>…”

Fig 3 - by Nehal Shawky Nagy (17721213)

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on DRPD dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Main module structure. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on WEDU dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Example images from four plant datasets. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on RFRB dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”