Multicollinearity test. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Heterogeneity test for population structure. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Pearson test. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Description of variables. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Endogeneity test for variable lags. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Mediation effect test of educational investment. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Descriptive statistics of the main variables. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Litter clump weight across experimental groups and days in the study. by Allison Andrukonis (11846404)

Factors associated with the <i>SS</i> Positives. by Anuradha Rajamanickam (5278013)

“…<div><p><i>Strongyloides stercoralis (Ss)</i> is a parasitic infection affecting 50–100 million people globally, with significant immune and metabolic consequences, particularly in immunocompromised individuals. …”

Intensity of 7-day running training in rats. by Chengcheng Li (2591632)

“…<div><p> Background </p><p>Rhabdomyolysis (RM), particularly heat exhaustion-associated rhabdomyolysis (ehsRM), is a significant clinical issue associated with high mortality and healthcare costs. …”

Algorithm training accuracy experiments. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Repeat the detection experiment. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Detection network structure with IRAU [34]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Ablation experiments of various block. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

Kappa coefficients for different algorithms. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

The structure of ASPP+ block. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

The structure of attention gate block [31]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

DSC block and its application network structure. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

The structure of multi-scale residual block [30]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”

The structure of IRAU and Res2Net+ block [22]. by Yingying Liu (360782)

“…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”