Shiyuan He
Biographic Data
| ID | 7267600 |
|---|---|
| NAME | Shiyuan He |
| GIVEN NAMES | Shiyuan |
| FAMILY NAME | He |
| SIGNATURE | HE S |
| AFFILIATIONS | Ruijin Hospital |
| ORCID | 0000-0003-2593-4566 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Seasonal Adjustment of Time Series Observed at Mixed Frequencies Using Singular Value Decomposition with Wavelet Thresholding
In this article, we propose a novel seasonal adjustment method that accommodates time series observed at mixed frequencies and possessing possibly multiple abrupt changes in seasonality. We assume that the observed series is a known linear transformation of an underlying high frequency series whose seasonal component can be represented as a matrix with a low rank Singular Value Decomposition (SVD) structure, and the nonseasonal component is diffe…
Shenfu injection ameliorates endotoxemia-associated endothelial dysfunction and organ injury via inhibiting PI3K/Akt-mediated glycolysis
Our findings revealed that SFI may improve microcirculation perfusion and endothelial function in sepsis via inhibiting PI3K/Akt-mediated glycolysis, providing theoretical evidence for the clinical application of SFI
No prominent works on this page.
Shenfu injection ameliorates endotoxemia-associated endothelial dysfunction and organ injury via inhibiting PI3K/Akt-mediated glycolysis
Our findings revealed that SFI may improve microcirculation perfusion and endothelial function in sepsis via inhibiting PI3K/Akt-mediated glycolysis, providing theoretical evidence for the clinical application of SFI
Seasonal Adjustment of Time Series Observed at Mixed Frequencies Using Singular Value Decomposition with Wavelet Thresholding
In this article, we propose a novel seasonal adjustment method that accommodates time series observed at mixed frequencies and possessing possibly multiple abrupt changes in seasonality. We assume that the observed series is a known linear transformation of an underlying high frequency series whose seasonal component can be represented as a matrix with a low rank Singular Value Decomposition (SVD) structure, and the nonseasonal component is diffe…
Algorithm (1 works) · Artificial Intelligence (1 works) · Biology (1 works) · Chemistry (1 works) · Computer Science (1 works) · Decomposition (1 works) · Econometrics (1 works) · Endothelial Dysfunction (1 works) · Geology (1 works) · Image and Signal Denoising Methods (1 works)