Objective: To control the quality of Xihuangwan by improving the qualitative detection of artificial musk inside this pill.
Method: The qualitative detection of artificial musk was carried out by gas chromatography-mass spectrometery(GC-MS).
Result: The established GC-MS successfully detected artificial musk in Xihuangwan.
Conclusion: GC-MS is reliable,accurate,and practical in the identification of artificial must inside Xihuangwan.
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http://dx.doi.org/10.3881/j.issn.1000-503X.2014.06.005 | DOI Listing |
Nature
January 2025
Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care. However, the scarcity of well-annotated multimodal datasets in clinical settings has hindered the development of useful models.
View Article and Find Full Text PDFDespite the identification of several dozen genetic loci associated with ischemic stroke (IS), the genetic bases of this disease remain largely unexplored. In this research we present the results of genome-wide association studies (GWAS) based on classical statistical testing and machine learning algorithms (logistic regression, gradient boosting on decision trees, and tabular deep learning model TabNet). To build a consensus on the results obtained by different techniques, the Pareto-Optimal solution was proposed and applied.
View Article and Find Full Text PDFComput Stat Data Anal
August 2024
Department of Statistics, Seoul National University, Seoul, 08826, Korea.
In multiple instance learning (MIL), a bag represents a sample that has a set of instances, each of which is described by a vector of explanatory variables, but the entire bag only has one label/response. Though many methods for MIL have been developed to date, few have paid attention to interpretability of models and results. The proposed Bayesian regression model stands on two levels of hierarchy, which transparently show how explanatory variables explain and instances contribute to bag responses.
View Article and Find Full Text PDFScience
March 2024
Melanie Mitchell is a professor at the Santa Fe Institute, Santa Fe, NM 87501, USA.
The term "artificial general intelligence" (AGI) has become ubiquitous in current discourse around AI. OpenAI states that its mission is "to ensure that artificial general intelligence benefits all of humanity." DeepMind's company vision statement notes that "artificial general intelligence…has the potential to drive one of the greatest transformations in history.
View Article and Find Full Text PDFClin Infect Dis
July 2024
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Background: Carbapenemase-producing, carbapenem-resistant Pseudomonas aeruginosa (CP-CRPA) are extensively drug-resistant bacteria. We investigated the source of a multistate CP-CRPA outbreak.
Methods: Cases were defined as a US patient's first isolation of P.
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