Related to Fig 2. by Mohammad Nafees Ansari (22232505)

“…(<b>C</b>) Cell proliferation studies show a decrease in the proliferation of BT-474_RICTOR^SH cells (mean ± SEM, <i>n</i> = 3) compared to BT-474_SCRAM^SH cells. …”

RICTOR silencing inhibits cell proliferation via UGCG regulation. by Mohammad Nafees Ansari (22232505)

“…(<b>C</b>) Cell proliferation studies show a decrease in the proliferation of MCF-7_RICTOR^SH cells (mean ± SEM, <i>n</i> = 4) compared to MCF-7_SCRAM^SH cells. …”

Average wellness for matchday, MD by Ivan Baptista (5278874)

“…<div><p>Background</p><p>Exposure to match loads significantly affects physiological and psychological indicators and, consequently, players’ wellness. …”

The RehaGait® system. by Johanna Rydja (12300797)

“…</p><p>Trial registration</p><p>ClinicalTrials.gov <a href="https://clinicaltrials.gov/ct2/show/NCT04795089" target="_blank">NCT04795089</a></p></div>…”

Flow chart of included patients and dropouts. by Johanna Rydja (12300797)

“…</p><p>Trial registration</p><p>ClinicalTrials.gov <a href="https://clinicaltrials.gov/ct2/show/NCT04795089" target="_blank">NCT04795089</a></p></div>…”

Dataset of the analyzed data. by Johanna Rydja (12300797)

“…</p><p>Trial registration</p><p>ClinicalTrials.gov <a href="https://clinicaltrials.gov/ct2/show/NCT04795089" target="_blank">NCT04795089</a></p></div>…”

Related to Fig 1. by Mohammad Nafees Ansari (22232505)

“…(<b>E</b>–<b>H</b>) Absolute quantification (mean ± SEM, <i>n</i> = 3–4) of GM3 (E), GD3 (F), GM2 (G), and GM1 (H) gangliosides shows an increase in GD3 and GM2 gangliosides and a decrease in GM3 and GM1 gangliosides in BT-474_UGCG^OE cells compared to BT-474 cells. …”

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. …”

Detail of the Fourier transform. 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 decoder. 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. …”

Encoder-decoder architecture. 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. …”

Dataset description. 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. …”

Participant flow (CONSORT diagram). by David J. Diemert (8135568)

“…Peak anti-<i>Na</i>-GST-1 IgG levels were observed between 2 and 4 weeks following the third dose, regardless of <i>Na</i>-GST-1 formulation. IgG levels decreased but remained significantly above baseline in all groups by day 290, at which point all participants (20 of 20 evaluable participants) still had detectable IgG. …”

ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The transition and desert zones decreased by 49.7% and 37.9%, respectively. The ERI decreased and was strongly correlated with the OLS. …”

Location of the study area. by Mingyue Sun (4638535)

“…The transition and desert zones decreased by 49.7% and 37.9%, respectively. The ERI decreased and was strongly correlated with the OLS. …”

Random Forest structure with cross-validation. by Mingyue Sun (4638535)

“…The transition and desert zones decreased by 49.7% and 37.9%, respectively. The ERI decreased and was strongly correlated with the OLS. …”

Land use change from 1990 to 2020. by Mingyue Sun (4638535)

“…The transition and desert zones decreased by 49.7% and 37.9%, respectively. The ERI decreased and was strongly correlated with the OLS. …”