Status of traditional Chinese medicine healthcare services in nursing homes across China.

This study aimed to elucidate the status of traditional Chinese medicine (TCM) healthcare services provided in nursing homes across China. We investigated 484 nursing homes using self-compiled questionnaires with a convenient sampling method. Chi-squared and Wilcoxon rank-sum tests were used for univariate analysis and binary logistic regression for multi-factor analysis. Of the 443 nursing homes finally included, 215 (48.5%) provided TCM healthcare services. Nursing home leaders majored in integrated TCM and Western medicine, leaders with a better understanding of TCM and government policies, nursing homes charging over 5,000 CNY/month, and those with ≥500 beds were more likely to provide improved TCM healthcare services. Massage, moxibustion, cupping or scraping, plaster therapy, decocting pieces, and acupuncture were the most prevalent and popular TCM services. Lack of professionals, financial investment, and policy support were the most common factors limiting the provision of TCM healthcare services in Chinese nursing homes.

Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification.

Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern (CSP) as preprocessing step before classification. The CSP method is a supervised algorithm. Therefore a lot of time-consuming training data is needed to build the model. To address this issue, one promising approach is transfer learning, which generalizes a learning model can extract discriminative information from other subjects for target classification task. To this end, we propose a transfer kernel CSP (TKCSP) approach to learn a domain-invariant kernel by directly matching distributions of source subjects and target subjects. The dataset IVa of BCI Competition III is used to demonstrate the validity by our proposed methods. In the experiment, we compare the classification performance of the TKCSP against CSP, CSP for subject-to-subject transfer (CSP SJ-to-SJ), regularizing CSP (RCSP), stationary subspace CSP (ssCSP), multitask CSP (mtCSP), and the combined mtCSP and ssCSP (ss + mtCSP) method. The results indicate that the superior mean classification performance of TKCSP can achieve 81.14%, especially in case of source subjects with fewer number of training samples. Comprehensive experimental evidence on the dataset verifies the effectiveness and efficiency of the proposed TKCSP approach over several state-of-the-art methods.

[Research on certified reference material of emodin in rhubarb and its alcohol extract, water extract].

The certified reference materials (CRMs) of emodin in rhubarb and its alcohol extract, water extract were developed by using quantity transfer technology from single chemical composition to the complex systems. The CRM of emodin was used for quantity transfer, and high performance liquid chromatography (HPLC) method was used to determine the contents of emodin in different matrix composition. By establishing mathematical model and calculating the parts of uncertainty, the uncertainty values were finally gotten. CRMs of emodin in rhubarb, alcohol extract and water extract were accomplished. The content values of emodin were 0.40% ±0.03%, 1.15%±0.18%, 0.16%±0.08% (k=2,P=0.95), respectively. The established method for quantity transfer has successfully solved the technical problems that the value of active ingredient of traditional Chinese medicine can't be traced to SI units. The series of CRMs are assigned as grade primary reference materials, which are useful for quality control of the emodin content, also provide the accurate and reliable CRM, materials standard and standard methods.