Background The Scale for the Assessment and Rating of Ataxia （SARA） was shown to be a reliable and valid measurement for patients with spinocerebellar ataxia （SCA）. The Brazilian version and the Japanese version o...Background The Scale for the Assessment and Rating of Ataxia （SARA） was shown to be a reliable and valid measurement for patients with spinocerebellar ataxia （SCA）. The Brazilian version and the Japanese version of SARA were favorable for good reliability and validity. This study aimed to translate SARA into Chinese and test its reliability and validity in measurement of cerebellar ataxia. Methods SARA was translated into Chinese. A total 39 patients with degeneration cerebellar ataxia were evaluated independently by two neurologists with the Chinese version of SARA. Then the patients were evaluated by one of above neurologists with International Cooperative Ataxia Rating Scale （ICARS）. The statistical analyses were performed using SPSS 17.0 for Windows. Results The Cronbach＇s alpha coefficient of the Chinese version of SARA was 0.78, which represents a good internal consistence. The correlation coefficient of the Chinese version of SARA scores between the two evaluators was 0.86, illustrating that the inter-rater reliability of Chinese version of SARA was good. The correlation coefficient between the Chinese version of SARA and ICARS was 0.91, illustrating that the criterion validity of Chinese version of SARA was not bad. Conclusions The Chinese version of SARA is reliable and effective for the assessment of degeneration cerebellar ataxia. Compared with ICARS, the evaluation of Chinese version of SARA is more objective, the assessment time is shortened, and the maneuverability is better.展开更多
The Vehicle Allocation Problem(VAP)in the vehicle sales chain has three bottlenecks in practice.The first is to collect relevant cooperation or conflict information,the second is to accurately quantify and analyze oth...The Vehicle Allocation Problem(VAP)in the vehicle sales chain has three bottlenecks in practice.The first is to collect relevant cooperation or conflict information,the second is to accurately quantify and analyze other factors affecting the distribution of cars,and the third is to establish a stable and rapid response to the vehicle allocation management method.In order to improve the real-time performance and reliability of vehicle allocation in the vehicle sales chain,it is crucial to find a method that can respond quickly and stabilize the vehicle allocation strategy.Therefore,this paper addresses these issues by extending Group Multi-Role Assignment with Cooperation and Conflict Factors(GMRACCF)from a new perspective.Through the logical reasoning of closure computation,the KD45 logic algorithm is used to find the implicit cognitive Cooperation and Conflict Factors(CCF).Therefore,a collaborative filtering comprehensive evaluation method is proposed to help administrators determine the influence weight of CCFs and Cooperation Scales(CSs)on the all-round performance according to their needs.Based on collaborative filtering,semantic modification is applied to resolve conflicts among qualifications.Large-scale simulation results show that the proposed method is feasible and robust,and provides a reliable decision-making reference in the vehicle sales chain.展开更多
文摘Background The Scale for the Assessment and Rating of Ataxia （SARA） was shown to be a reliable and valid measurement for patients with spinocerebellar ataxia （SCA）. The Brazilian version and the Japanese version of SARA were favorable for good reliability and validity. This study aimed to translate SARA into Chinese and test its reliability and validity in measurement of cerebellar ataxia. Methods SARA was translated into Chinese. A total 39 patients with degeneration cerebellar ataxia were evaluated independently by two neurologists with the Chinese version of SARA. Then the patients were evaluated by one of above neurologists with International Cooperative Ataxia Rating Scale （ICARS）. The statistical analyses were performed using SPSS 17.0 for Windows. Results The Cronbach＇s alpha coefficient of the Chinese version of SARA was 0.78, which represents a good internal consistence. The correlation coefficient of the Chinese version of SARA scores between the two evaluators was 0.86, illustrating that the inter-rater reliability of Chinese version of SARA was good. The correlation coefficient between the Chinese version of SARA and ICARS was 0.91, illustrating that the criterion validity of Chinese version of SARA was not bad. Conclusions The Chinese version of SARA is reliable and effective for the assessment of degeneration cerebellar ataxia. Compared with ICARS, the evaluation of Chinese version of SARA is more objective, the assessment time is shortened, and the maneuverability is better.
基金supported by the National Key Research and Development Program of China(No.2022YFB3304400)the National Natural Science Foundation of China(No.62072120)+1 种基金the Natural Sciences and Engineering Research Council(NSERC)of Canada(No.RGPIN2018-04818)the Guangdong Provincial Key Laboratory of Cyber-Physical System(No.2020B1212060069).
文摘The Vehicle Allocation Problem(VAP)in the vehicle sales chain has three bottlenecks in practice.The first is to collect relevant cooperation or conflict information,the second is to accurately quantify and analyze other factors affecting the distribution of cars,and the third is to establish a stable and rapid response to the vehicle allocation management method.In order to improve the real-time performance and reliability of vehicle allocation in the vehicle sales chain,it is crucial to find a method that can respond quickly and stabilize the vehicle allocation strategy.Therefore,this paper addresses these issues by extending Group Multi-Role Assignment with Cooperation and Conflict Factors(GMRACCF)from a new perspective.Through the logical reasoning of closure computation,the KD45 logic algorithm is used to find the implicit cognitive Cooperation and Conflict Factors(CCF).Therefore,a collaborative filtering comprehensive evaluation method is proposed to help administrators determine the influence weight of CCFs and Cooperation Scales(CSs)on the all-round performance according to their needs.Based on collaborative filtering,semantic modification is applied to resolve conflicts among qualifications.Large-scale simulation results show that the proposed method is feasible and robust,and provides a reliable decision-making reference in the vehicle sales chain.
