RNA-seq data of WRKY genes. by Yuzhao Ma (12840632)

“…Based on RNA-Seq, we identified 83 <i>WRKYs</i> significantly respond to cadmium (Cd) stress. Subsequently, we conducted a study on <i>WRKY95</i>, which was significantly up-regulated in the roots, stems, and leaves under Cd stress. …”

Analysis of PtWRKY genes. by Yuzhao Ma (12840632)

“…Based on RNA-Seq, we identified 83 <i>WRKYs</i> significantly respond to cadmium (Cd) stress. Subsequently, we conducted a study on <i>WRKY95</i>, which was significantly up-regulated in the roots, stems, and leaves under Cd stress. …”

The primer sequences for RT-qPCR. by Yuzhao Ma (12840632)

“…Based on RNA-Seq, we identified 83 <i>WRKYs</i> significantly respond to cadmium (Cd) stress. Subsequently, we conducted a study on <i>WRKY95</i>, which was significantly up-regulated in the roots, stems, and leaves under Cd stress. …”

The Date. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Variation curve of the extreme temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

Representative experimental samples. by Weisheng Zhao (3746023)

“…Reducing humidity can significantly mitigate strength loss caused by moisture absorption, while increasing temperature plays a supplementary role. …”

Mechanical testing apparatus and samples. by Weisheng Zhao (3746023)

“…Reducing humidity can significantly mitigate strength loss caused by moisture absorption, while increasing temperature plays a supplementary role. …”

Relationship between UCS, E, and water content. by Weisheng Zhao (3746023)

“…Reducing humidity can significantly mitigate strength loss caused by moisture absorption, while increasing temperature plays a supplementary role. …”

Hygroscopic experimental device. by Weisheng Zhao (3746023)

“…Reducing humidity can significantly mitigate strength loss caused by moisture absorption, while increasing temperature plays a supplementary role. …”

Heatmap of incident post-acute diagnoses, cohort B. by Vitaly Lorman (16814000)

Arrangement of PHC facilities in a woreda NoCs. by Gizachew Tadele Tiruneh (8407686)

“…The interrupted time series analysis indicated that the rate of ANC 8+ visits was 29.8% per month higher than expected without the NoCs strategy (Coef: 2.39; p-value < 0.01) and an 18.4% increase in obstetric complications managed (Coef: 1.71; p-value = 0.050), with a 43% overall increase. Perinatal mortality decreased by 34%, from 31.3 to 20.1 per 1,000 births [t-test: 2.12; p-value: 0.040)].…”

Multiproxy summary of pollen, fecal biomarker, and charcoal data for BF19. by John A. F. Wendt (19976392)

Ungulate community dynamics and associated environmental variables at Buffalo Ford Lake and the lower Lamar Valley during the last <i>c</i>. 2300 years. by John A. F. Wendt (19976392)

Detail of the personalized-enhanced GCN. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

Enhanced multi-component module. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

The architecture of the TCBiL. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

Detail of the encoder. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”