The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Fir...The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Firstly, by analyzing users' behavior records, we mine group situation that promotes the hotspot.Several major attributions in a hotspot outbreak, such as individual, peer and group triggers, are defined formally according to the view-point of social identity, social interaction, retweet depth and opinion leader. Secondly,for the problem of the uneven and sparse data in each stage of hotspot topic's life cycle, we propose a dynamic influence model based on grey system to formalize the effect of different groups. Then the process of hotspot evolution driven by distinct crowd is showed dynamically. The experimental result confirms that the model is able not only to qualify users' influence on a hotspot topic but also to predict effectively an upcoming change in a hotspot topic.展开更多
We propose an efficient scheme for realizing two-mode squeezing for two cavity modes with an atomic ensemble trapped in the cavity and driven by two classical fields. Through a suitable choice of the driving classical...We propose an efficient scheme for realizing two-mode squeezing for two cavity modes with an atomic ensemble trapped in the cavity and driven by two classical fields. Through a suitable choice of the driving classical fields, the evolution dynamics of the two cavity modes is decoupled with the atomic system and described by a two-mode squeezing operator. We show that a highly squeezed state can be obtained at the output even with a bad cavity. The required experimental techniques are within the scope of what can be obtained in the BEG-cavity setup.展开更多
The complicated, highly dynamic and diverse nature of biosystems brings great challenges to the specific analysis of molecular processes of interest. Nature provides antibodies for the specific recognition of antigens...The complicated, highly dynamic and diverse nature of biosystems brings great challenges to the specific analysis of molecular processes of interest. Nature provides antibodies for the specific recognition of antigens, which is a straight-forward way for targeted analysis. However, there are still limitations during the practical applications due to the big size of the antibodies, which accelerate the discovery of small molecular probes. Peptides built from various optional building blocks and easily achieved by chemical synthetic approaches with predictable conformations, are versatile and can act as tailor-made targeting vehicles.In this mini review, we summarize the recent developments in the discovery of novel peptides for bioanalytical and biomedical applications. Progresses in peptide-library design and selection strategies are presented. Recent achievements in the peptide-guided detection, imaging and disease treatment are also focused.展开更多
基金supported by National Basic Research Program of China(973 program)(Grant No.2013CB3296-06)National Natural Science Foundation of China(Grant No.61272400)+6 种基金Chongqing Innovative Team Fund for College Development Project(Grant No.KJTD201310)Chongqing Youth Innovative Talent Project(Grant No.cstc2013kjrc-qnrc40004)Ministry of Education of China and China Mobile Research Fund(Grant No.MCM20130351)Science and Technology Research Program of the Chongqing Municipal Education Committee(Grant No.KJ1500425)Wen Feng Foundation of CQUPT(Grant No.WF201403)Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Open Subject(Grant No.ITD-U13002/KX132600009)Chongqing Graduate Research and Innovation Project(Grant No.CYS14146)
文摘The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Firstly, by analyzing users' behavior records, we mine group situation that promotes the hotspot.Several major attributions in a hotspot outbreak, such as individual, peer and group triggers, are defined formally according to the view-point of social identity, social interaction, retweet depth and opinion leader. Secondly,for the problem of the uneven and sparse data in each stage of hotspot topic's life cycle, we propose a dynamic influence model based on grey system to formalize the effect of different groups. Then the process of hotspot evolution driven by distinct crowd is showed dynamically. The experimental result confirms that the model is able not only to qualify users' influence on a hotspot topic but also to predict effectively an upcoming change in a hotspot topic.
基金Supported by the Major State Basic Research Development Program of China under Grant No.2012CB921601
文摘We propose an efficient scheme for realizing two-mode squeezing for two cavity modes with an atomic ensemble trapped in the cavity and driven by two classical fields. Through a suitable choice of the driving classical fields, the evolution dynamics of the two cavity modes is decoupled with the atomic system and described by a two-mode squeezing operator. We show that a highly squeezed state can be obtained at the output even with a bad cavity. The required experimental techniques are within the scope of what can be obtained in the BEG-cavity setup.
基金supported by the National Natural Science Foundation of China (21375134, 21475140, 21135006, 21321003)The National Basic Research Program of China (2015CB856300)the Chinese Academy of Sciences
文摘The complicated, highly dynamic and diverse nature of biosystems brings great challenges to the specific analysis of molecular processes of interest. Nature provides antibodies for the specific recognition of antigens, which is a straight-forward way for targeted analysis. However, there are still limitations during the practical applications due to the big size of the antibodies, which accelerate the discovery of small molecular probes. Peptides built from various optional building blocks and easily achieved by chemical synthetic approaches with predictable conformations, are versatile and can act as tailor-made targeting vehicles.In this mini review, we summarize the recent developments in the discovery of novel peptides for bioanalytical and biomedical applications. Progresses in peptide-library design and selection strategies are presented. Recent achievements in the peptide-guided detection, imaging and disease treatment are also focused.
