Architecture of Swin Transformer Block. by Wen-Qing Huang (5258126)

“…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …”

Disease distribution map of the GZDL-BD. by Wen-Qing Huang (5258126)

“…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …”

Token merging module. by Wen-Qing Huang (5258126)

“…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …”

Comparative results of the ablation experiments. by Wen-Qing Huang (5258126)

“…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …”

Examples of singular vectors as a function of rank by Raj Magesh Gauthaman (22662887)

Comparison of activations between different brain regions. by Raj Magesh Gauthaman (22662887)

Proteomic analysis of _sEVs. by María-Angélica Calderón-Peláez (2851865)

Pathogen induced cytokine storm signaling pathway ‐ Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. by Melissa A. Hausburg (20529229)

Communication between innate and adaptive immune cells ‐ Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. by Melissa A. Hausburg (20529229)

Interleukin-10 signaling pathway ‐ Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. by Melissa A. Hausburg (20529229)

Role of macrophages, fibroblasts, and endothelial cells in rheumatoid arthritis (modified)–Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. by Melissa A. Hausburg (20529229)

Posterior predictive checks using simulated marker expression data. by Christiaan H. van Dorp (9449599)

Regular spiking neuron (sustained chopper) that exhibits accurate identification of envelope frequency from its spike trains. by Chris Scholes (3309477)

Relevant parameters of the benchmark models. by Wang Xiaoqian (10502222)

“…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…”

Peak strain and stress values of the specimens. by Wang Xiaoqian (10502222)

“…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…”

Aggregate characteristic curves. by Wang Xiaoqian (10502222)

“…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…”

Characteristic chart of algorithm efficiency. by Wang Xiaoqian (10502222)

“…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…”

Improved BP network algorithm flow. by Wang Xiaoqian (10502222)

“…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…”

TDS530 Static strain gauge. by Wang Xiaoqian (10502222)

“…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…”

Antibodies used in this study. by Gillian C. A. Taylor (3909568)

“…In one case (<i><i>Ncaph2</i></i>), a C-terminal auxin-inducible degron fusion strongly increased protein stability in some tissues but decreased it in others. Destabilisation resulted from tissue-specific ‘leakage’ of the auxin-inducible degron, which depended on TIR1 expression, and occurred selectively in the small intestine where basal concentrations of auxin/ indole-3-acetic acid can reach levels that are sufficient to trigger protein degradation in cultured cells. …”