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Introduction The quantitative analysis of trace resveratrol and polydatin in plant tissues is suitable for elucidation of the compounds' mechanisms of action. Objectives The main objective of this work was to develop a feasible and effective sample pretreatment method to measure the concentrations of resveratrol and polydatin in complex samples. Methodology A polymer sorbent, poly(2‐mercaptobenzimidazole), was electrochemically prepared and utilized for selective extraction, while resveratrol and polydatin were used as target analytes. The sorbent was characterized by cyclic voltammetry, scanning electron microscopy and Fourier transform infrared spectroscopy. After extraction and elution, the analytes were analyzed by a Thermo U3000 HPLC system. Several affecting parameters, including the volume of elution solution, sample pH value, sample flow rate and sample volume, were evaluated and optimized. Results The proposed method showed good linearity with low limits of detection (from 0.5 to 0.8 ng·mL−1) and ideal accuracy with spiked recoveries from 81.30% to 99.16%. A good enrichment factor (more than 200‐fold) together with good sensitivity was obtained with this method. Analysis of resveratrol and polydatin in Polygonum cuspidatum samples by this method is efficient. Conclusion The method developed in this work exhibits several significant merits, including easy operation and high extraction efficiency, indicating that electrochemically prepared polymer sorbent is useful for sample pretreatment and analysis of traditional Chinese medicine samples.

Objective: To investigate the influence level of activity of daily living about the patients about the Alzheimer's disease. Methods: Stratified multistage cluster sampling method to determine the survey, investigation and clinical diagnosis using two-stage screening method, screening stage using mini mental-mental state examination (MMSE) and activities of daily living (ADL), to test. According to the diagnostic phase of clinical history, clinical examination, neuropsychological testing to assess, diagnosis using DSM-Ⅳ and NINCDS-ADRDA criteria. On AD patients and normal elderly controls were assessed activities of daily living scale (ADL), evaluation and analysis of AD patients' daily living activities. Results: (1) The 3698 survey of 60-year-old and 60 years of age or older, the identified Alzheimer's disease (AD) patients with 87, Alzheimer's disease (AD) prevalence rate was 2.4%, which accounted for 59.77% of light; medium 24.14%; heavy accounted for 16.09%.(2) AD patients whose scores of activities of daily living, physical aspects and tools for self-care activities of daily living were significantly higher than normal (t = 8.02, P <0.01; t = 6.22, P <0.01; t = 8.15, P <0.01), two completely normal activities of daily living, decreased the rate of decline and the difference was statistically significant (χ2 = 24.09, P <0.01), description of daily living in patients with AD were lower; physical aspects of daily living score was significantly higher than tools for self-care activities of daily living score (t = 6.79, P <0.01), showed a more marked decline in physical function; patient groups of different age difference between the mean score of ADL was statistically significant (F = 5.49, P <0.01), showed ages, worse activities of daily living; patients groups of different severity difference between the mean score of ADL was statistically significant (F = 44.58, P <0.01), showed the more severe the disease, the more obvious activities of daily living impaired. Conclusion: Alzheimer's disease (AD) seriously affect the ability of daily life, AD patients with activities of daily living, physical aspects and tools for self-care activities of daily living were significantly lower, tools for self-care activities of damage was more obvious; the older, more serious disease, the more serious damage of daily living.

The stability of high rock slopes has become a key engineering geological problem in the construction of important projects in mountainous areas. The original slope stability probability classification (SSPC) system, presented by Hack, has made obvious progress and been widely used in rock slope stability analysis. However, the selection and determination of some evaluation indexes in the original SSPC method are usually subjective, such as intact rock strength and weathering degree. In this study, the SSPC method based on geological data obtained in the prospecting tunnels was presented and applied. According to the field survey and exploration of the prospecting tunnels, the weathering degree of the slope rock mass was evaluated. The empirical equation for the maximum stable height of the slope was applied to the slope stability evaluation in the presented SSPC method. Then, the slope stability probability of numerous cutting slopes in the sandstone unit was evaluated using the presented system. Results of the Geostudio software based on the limited equilibrium analysis of the investigated slopes were compared with the results obtained by the SSPC method. The results indicate that the SSPC method is a useful tool for the stability prediction of high and steep rock slopes.

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