Due to the significance of hydrogen peroxide (H(2)O(2)) in biological systems and its practical applications, the development of efficient electrochemical H(2)O(2) sensors holds a special attraction for researchers. Various materials such as Prussian blue (PB), heme proteins, carbon nanotubes (CNTs) and transition metals have been applied to the construction of H(2)O(2) sensors. In this article, the electrocatalytic H(2)O(2) determinations are mainly focused on because they can provide a superior sensing performance over non-electrocatalytic ones. The synergetic effect between nanotechnology and electrochemical H(2)O(2) determination is also highlighted in various aspects. In addition, some recent progress for in vivo H(2)O(2) measurements is also presented. Finally, the future prospects for more efficient H(2)O(2) sensing are discussed.

The knowledge of preference drift is important to maintain the user’s preference accurate. With the swift development of mobile service the recognition of such knowledge has attracted immense attention in recent times. However, existing research based on clustering is inadequate for the description of item objects with weak N-ary associations. This paper, through the analysis of contextual recommendation, proposes a “hypergraph model” for contextual items. Furthermore, similarities between pair of items, item clusters and the degree of user preference drift are defined. Based on above definitions, a method to discover user preference drift is proposed. In addition two experiments are being carried out to validate its significance.

Predicting customer churn is of paramount importance in telecommunication companies. The taxonomy of churn reports that, not only individual constraints but also social factors can create users’ propensity to churn. This study uses real world call data records (CDR) to extract the social relationships among mobile phone users and build a multi relational social network, where the influence of users diffuses. The research is conducted to propose a framework that enhances the actionable value of social influence of predicted churners and to examine the parameters that control the churn information diffusion in the telecommunication networks.

An increasing web services run in mobile context. Context may influence customer potential needs and buying behaviors in some specific situation. However existent customer segmentation method do not attach importance to context factors, which weakly support the development of context-sensitive mobile service . Therefore a mobile customer segmentation method based on context is proposed and validated by a case. The further research is mentioned in the end of the paper.