Wavelet analysis of the major coccolithophore species in core SO130-289KL. حسب Jose Dominick Guballa (19739909)

Confidence intervals for physiological regions. حسب Inmaculada Villanueva-Baxarias (21454246)

Multitaper spectral analysis of the main coccolithophore species in core SO130-289KL. حسب Jose Dominick Guballa (19739909)

Fig 4 - حسب Rima Moghnieh (679199)

Fig 3 - حسب Rima Moghnieh (679199)

Scanning electron microscope (SEM) images of common coccolithophore species identified in the study interval in core SO130-289KL. حسب Jose Dominick Guballa (19739909)

Detail of the personalized-enhanced GCN. حسب 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. حسب 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. حسب 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. حسب 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 Fourier transform. حسب 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 decoder. حسب 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. …"

Encoder-decoder architecture. حسب 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. …"

Dataset description. حسب 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. …"

Blood Pressure and LDL-C During Follow-up. حسب Karl Ingard (22582091)

"…The risk of cardiovascular death was significantly decreased (HR 0.64, 95% CI 0.41–0.998, <i>P</i> = 0.049) and the risk of fracture non-significantly increased (HR 1.47, 95% CI 0.95–2.27, <i>P</i> = 0.08) in the intervention group compared to the control group.…"

Baseline Characteristics of Included Patients. حسب Karl Ingard (22582091)

"…The risk of cardiovascular death was significantly decreased (HR 0.64, 95% CI 0.41–0.998, <i>P</i> = 0.049) and the risk of fracture non-significantly increased (HR 1.47, 95% CI 0.95–2.27, <i>P</i> = 0.08) in the intervention group compared to the control group.…"

Prevaelnce of different pathogens by location. حسب Amete Mihret Teshale (12072758)

"…<div><p>Diarrheal illness remains a major global health challenge, causing millions of deaths annually. …"

Both rottlerin and PKCδ silencing inhibit PRRSV cellular entry. حسب Yeonglim Kang (21395261)

Characteristics of the included studies. حسب Si He (3236646)

"…The overall results revealed that NPWT significantly decreased the sternal wound reinfection (SWRI) rate (RR [95% CI] = 0.179 [0.099 to 0.323], 95% prediction interval [PI]: 0.082 to 0.442), in-hospital mortality (RR [95% CI] = 0.242 [0.149 to 0.394], 95% PI: 0.144 to 0.461), and shortened the length of intensive care unit (ICU) stay (SMD [95% CI] = −0.601 [−0.820 to −0.382], 95% PI: −1.317 to 0.128) compared with conventional wound care. …"

Extracted data and used for analysis. حسب Si He (3236646)

"…The overall results revealed that NPWT significantly decreased the sternal wound reinfection (SWRI) rate (RR [95% CI] = 0.179 [0.099 to 0.323], 95% prediction interval [PI]: 0.082 to 0.442), in-hospital mortality (RR [95% CI] = 0.242 [0.149 to 0.394], 95% PI: 0.144 to 0.461), and shortened the length of intensive care unit (ICU) stay (SMD [95% CI] = −0.601 [−0.820 to −0.382], 95% PI: −1.317 to 0.128) compared with conventional wound care. …"