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On the basis of morphological examination, field investigation, observation of cultivated accessions and statistical analysis, the genus Miscanthus s.l. (Poaceae) from China was taxonomically revised. Two subgenera (Miscanthus subgenus Miscanthus and Miscanthus subgenus Diandranthus), two sections [Miscanthus subgenus Miscanthus section Miscanthus and Miscanthus subgenus Miscanthus section Triarrhena (Maximowicz) Honda], six species, two subspecies and four varieties in this genus were recognized in this report. Miscanthus sacchariflorus ssp. lutarioriparius and Miscanthus nudipes var. yunnanensis were also recognized.A key to the taxa of Miscanthus from China is provided. A morphological description, distribution, and habit and phenology are summarized for each species. Distribution maps and morphological illustrations of each species are also provided.

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Quality of Service (QoS) guarantee is an important component of service recommendation. Generally, some QoS values of a service are unknown to its users who has never invoked it before, and therefore the accurate prediction of unknown QoS values is significant for the successful deployment of Web service-based applications. Collaborative filtering is an important method for predicting missing values, and has thus been widely adopted in the prediction of unknown QoS values. However, collaborative filtering originated from the processing of subjective data, such as movie scores. The QoS data of Web services are usually objective, meaning that existing collaborative filtering-based approaches are not always applicable for unknown QoS values. Based on real world Web service QoS data and a number of experiments, in this paper, we determine some important characteristics of objective QoS datasets that have never been found before. We propose a prediction algorithm to realize these characteristics, allowing the unknown QoS values to be predicted accurately. Experimental results show that the proposed algorithm predicts unknown Web service QoS values more accurately than other existing approaches.

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