Descriptive statistics of key variables. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

First stage of IV estimation. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

IV estimation results. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

Effect of β-Sitosterol on Nrf2 signaling pathway in liver tissue of HFD-fed ApoE^−/− mice. by Weiping Wu (534670)

Changes in average weekly pain score on a numeric rating scale and the patient’s global impression of change after intravenous lidocaine infusion. by Min Liu (45756)

Transcriptional insight reveals complex mechanism of killing and biofilm disruption. by Robert L. Beckman I.V (22784303)

Accuracy test results. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

Experiment environment and parameter. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

Test results for NME and FR. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

DARTS algorithm process. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

Comparison result of memory usage. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

LKA model structure. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

Test results on different datasets. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

Comparison result of memory usage. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

Residual configuration. by Yuxuan Ji (13991895)

“…The runtime memory usage on the CIFAR-100 dataset is only 44.52%, a decrease of 44.56% compared to the baseline model. …”

The structure of the DADH. by Dan Tian (697937)

“…<div><p>Standard detectors such as YOLOv8 face significant challenges when applied to aerial drone imagery, including extreme scale variations, minute targets, and complex backgrounds. …”

Confusion matrix of YOLOv8n. by Dan Tian (697937)

“…<div><p>Standard detectors such as YOLOv8 face significant challenges when applied to aerial drone imagery, including extreme scale variations, minute targets, and complex backgrounds. …”

Results of different models on the NWPU VHR-10. by Dan Tian (697937)

“…<div><p>Standard detectors such as YOLOv8 face significant challenges when applied to aerial drone imagery, including extreme scale variations, minute targets, and complex backgrounds. …”

Structure of the YOLOv8 model. by Dan Tian (697937)

“…<div><p>Standard detectors such as YOLOv8 face significant challenges when applied to aerial drone imagery, including extreme scale variations, minute targets, and complex backgrounds. …”

MFDA-YOLO network structure. by Dan Tian (697937)

“…<div><p>Standard detectors such as YOLOv8 face significant challenges when applied to aerial drone imagery, including extreme scale variations, minute targets, and complex backgrounds. …”