Objective To analyze the adaptations of assistive devices to persons with physical disability.MethodsThe demands of assistive devices for 281 persons with various severity levels of physical disability involved in using assistive devices adapters were compared.ResultsThe total need rate of 281 cases for assistive devices was 74.73%. The more severe persons with physical disability was, the greater the demand of assistive devices was ( P<0.001).ConclusionTo deliver suitable services adapted with assistive devices to persons with disabilities, the exact needs of assistive devices for persons with disabilities could be met. Thus assistive devices for persons with disabilities could be delivered in a timely manner.

Based on the experience, this paper discussed how to improve comprehensive service of assistive devices, including adaption, display, research and development, and personnel training.

Persons with disability are a weak group in whole society.It is an indicant of social harmonization to enhance care for the persons with disablility and improve their quality of life.Therefore,problems of care model for persons with disability,the attitude to them as well as their quality of life attract more and more attention from people.

Objective Fructus Amomi(Sharen) is derived from the dry ripe fruit of Amomum villosum Lour., A.villosum Lour. var. xanthioides T.L. Wu et Senjen and A.longiligulate T.L.Wu, which is widely utilized for its clinic effects on digestive system. However, Fructus Amomi from different species and habitats, possessing different quality, is difficult to identify. In this study, we aim to develop a simple, rapid and reliable method for authentication of Fructus Amomi. Methods Twenty-five batches of samples of Fructus Amomi were collected and electronic nose was introduced into analyzing their odor with multiple mathematical statistics methods. Na?ve bayes network (NBN), radical basis function (RBF) and random forest (RF) were applied to establish different classifiers while BestFirst+CfsSubsetEval (BC) was used to screen the attributes for searching sensor array with higher contributions. Results Firstly, after attribute-screening via BC, the established discriminative models via NBN, RBF and RF could successfully identify genuine and non-genuine samples, presenting correct judging ratios of 78% and 84% through ten-fold cross validation and external test set validation, respectively. Besides, quantity predictive models were constructed as well. In case of content of bornyl acetate, one of the effective components in Fructus Amomi, values were higher than 3.5 mg/g and lower than 1.8 mg/g with sensor response of 0.04 and 0.03, respectively. Conclusion In this paper, quality discriminative model and quantity predictive model of Fructus Amomi were established via electronic nose and multiple mathematical statistics methods. It indicates that electronic nose could be a promising method for quality evaluation of Chinese material medica.