Xiaodan Shi
Biographic Data
| ID | 7807857 |
|---|---|
| NAME | Xiaodan Shi |
| GIVEN NAMES | Xiaodan |
| FAMILY NAME | Shi |
| SIGNATURE | SHI X |
| AFFILIATIONS | Air Force Medical University |
| ORCID | 0000-0001-6868-5526 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Archaeological Predictive Modeling Using Machine Learning and Statistical Methods for Japan and China
Archaeological predictive modeling (APM) is an essential method for quantitatively assessing the probability of archaeological sites present in a region. It is a necessary tool for archaeological research and cultural heritage management. In particular, the predictive modeling process could help us understand the relationship between past human civilizations and the natural environment; moreover, a better understanding of the mechanisms of the hu…
Simultaneous Detection of Five Pathogens from Cerebrospinal Fluid Specimens Using Luminex Technology
Early diagnosis and treatment are crucial for the outcome of central nervous system (CNS) infections. In this study, we developed a multiplex PCR-Luminex assay for the simultaneous detection of five major pathogens, including Mycobacterium tuberculosis, Cryptococcus neoformans, Streptococcus pneumoniae, and herpes simplex virus types 1 and 2, which frequently cause CNS infections. Through the hybridization reaction between multiplex PCR-amplified…
No prominent works on this page.
Simultaneous Detection of Five Pathogens from Cerebrospinal Fluid Specimens Using Luminex Technology
Early diagnosis and treatment are crucial for the outcome of central nervous system (CNS) infections. In this study, we developed a multiplex PCR-Luminex assay for the simultaneous detection of five major pathogens, including Mycobacterium tuberculosis, Cryptococcus neoformans, Streptococcus pneumoniae, and herpes simplex virus types 1 and 2, which frequently cause CNS infections. Through the hybridization reaction between multiplex PCR-amplified…
Archaeological Predictive Modeling Using Machine Learning and Statistical Methods for Japan and China
Archaeological predictive modeling (APM) is an essential method for quantitatively assessing the probability of archaeological sites present in a region. It is a necessary tool for archaeological research and cultural heritage management. In particular, the predictive modeling process could help us understand the relationship between past human civilizations and the natural environment; moreover, a better understanding of the mechanisms of the hu…
Antibiotics (1 work) · Archaeological Research and Protection (1 work) · Archaeology (1 work) · Archipelago (1 work) · Artificial Intelligence (1 work) · Bacterial Infections and Vaccines (1 work) · Biology (1 work) · Cerebrospinal fluid (1 work) · China (1 work) · Computer Science (1 work)