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

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

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

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

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

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

Relevant parameters of the benchmark models. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. …"

BP neural network architecture. حسب 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 curves. حسب 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.…"

Coarse and fine aggregates used for testing. حسب 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.…"

Loading setup for cured samples. حسب 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.…"

Steel tube material property test. حسب 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.…"

Measurement point arrangement and loading device. حسب 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.…"

STCDSRAC axial compressive stress–strain curves. حسب 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.…"