Bioclimatic variables used for MaxEnt modeling. by Dong-Joo Kim (1797640)

“…Under the SSP2-4.5 scenario, potential suitable area for <i>S. koreana</i> increased, while those for <i>B. ermanii</i>, <i>T. cuspidata</i> decreased by the 2090s. …”

Aligned fibers cause higher <i>Plithotaxis</i> within monolayer. by Amrit Bagchi (20536044)

Effect of Gasdermin-D inhibition on expression of phenotypic transition markers in CER treated VSMCs during Vascular Calcification. by Razia Rashid Rahil (22772495)

“…(E-F) Representative western blots and summarized bar graph showed DIS significantly increased protein expression of SM22α and decreased RUNX2 in CER treated P_i-induced VSMCs. …”

Effect of Gasdermin-D inhibition on CER-induced pyroptosis in P_i<i>‐</i>treated VSMCs. by Razia Rashid Rahil (22772495)

Effect of NLRP3 inhibition on CER-induced pyroptosis in P_i<i>‐</i>treated VSMCs. by Razia Rashid Rahil (22772495)

Partial behavioral switching. by Hiroyuki Ichijo (13891153)

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. …”

Primer sequence of target gene. by Qin Fu (143723)

“…However, there was no significant difference in Illinois-6, Illinois-12 and INF-γ between the noise group and the control group. …”

The framework of this study. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Ecological risk level and area from 2000 to 2020. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Area of land use types from 2000 to 2020. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”