Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Significantly Enriched Pathways. by Jiyong Zhang (2498740)

Subjects:

The level of miRNA 221 in the myocardium of MIRI mice was decreased. by Hongyu Li (1332669)

Subjects:

Significant links associated with sleep external factors during sustained attention tasks. by Ana María Triana (19819446)

Significant links associated with sleep external factors during sustained attention tasks. by Ana María Triana (19819446)

Significant links associated with sleep external factors during sustained attention tasks. by Ana María Triana (19819446)

Attention heat map on video frames. by Mohanaprasad Kothandaraman (21416724)

3 × 3 Attention Map interpreted as bi-partite Graph. by Jens Rahnfeld (21095109)

Decrease of injuries. by Petr Fulin (8380320)

Subjects:

Significant global efficiency associated with sleep external factors during sustained attention tasks. by Ana María Triana (19819446)

Significant relationships between lagged external factors and the participation coefficient during attention tasks. by Ana María Triana (19819446)

Significant relationships between lagged external factors and network estimates during attention tasks. by Ana María Triana (19819446)

Significant relationships between lagged external factors and the global efficiency during attention tasks. by Ana María Triana (19819446)

Significant relationships between lagged external factors and network estimates during attention tasks. by Ana María Triana (19819446)

Attentional visualization of different vehicles. by Rui Liu (54031)

“…The DWAN introduces a four-level discrete wavelet transform in the convolutional neural network architecture and combines it with Convolutional Block Attention Module (CBAM) to efficiently capture multiscale feature information. …”

Comparison of different attention mechanisms. by Rui Liu (54031)

“…The DWAN introduces a four-level discrete wavelet transform in the convolutional neural network architecture and combines it with Convolutional Block Attention Module (CBAM) to efficiently capture multiscale feature information. …”

Spatial attention module. by Mahmood Ashraf (18340154)

“…These methods also face difficulties in manipulating information from local intrinsic detailed patterns of feature maps and low-rank frequency feature tuning. To overcome these challenges and improve HSI classification performance, we propose an innovative approach called the Attention 3D Central Difference Convolutional Dense Network (3D-CDC Attention DenseNet). …”

The structure of deformable attention. by Kaixin Deng (11945951)

“…Specifically, OS-DETR achieves a Precision of 95.0%, Recall of 94.2%, mAP@50 of 95.7%, and mAP@50:95 of 74.2%. The code implementation and experimental results are available at <a href="https://github.com/dkx2077/OS-DETR.git" target="_blank">https://github.com/dkx2077/OS-DETR.git</a>.…”

Residual hybrid domain attention mechanism. by Rui Liu (54031)

“…The DWAN introduces a four-level discrete wavelet transform in the convolutional neural network architecture and combines it with Convolutional Block Attention Module (CBAM) to efficiently capture multiscale feature information. …”

Map of Pakistan with marked Punjab province. by Sumaira Sumaira (21453523)