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Amidation plays an important role in a variety of pathological processes and serious diseases like neural dysfunction and hypertension. However, identification of protein amidation sites through traditional experimental methods is time consuming and expensive. Existing computational methods for predicting amidation sites are based on feature extraction, which may result in incomplete or biased features...
Prioritizing genes according to their association with a disease allows researchers to explore genes in more informed ways. Although some useful algorithms have been developed, they are based on single gene importance, gene interaction networks, or gene modules with little consideration of relative gene importance in the context of modules. In this paper, we propose to prioritize genes considering...
Ubiquitination, as a post-translational modification, is a crucial biological process presented in cell signaling, death and localization. Identification of ubiquitination protein is of fundamental importance for understanding molecular mechanisms in biological systems and diseases. Although high-throughput experimental studies using mass spectrometry have identified many ubiquitination proteins and...
In this paper, a customized electricity retailing plan recommendation strategy is developed. Cost-effective retailing plans are recommended according to customer's electricity usage pattern. Usage pattern is recognized through classifying daily load profile (DLP) into a certain class, which is obtained in DLP clustering process. Two DLP clustering skills, plan rank-oriented and load feature-oriented...
To move applications to the cloud is not only a technical decision but also a business-oriented decision, in which both business and technical factors (e.g. transformation effort, multi-tenancy and auto-scaling enablement, scalability and extensibility) should be considered. However, existing approaches and tools do not support a consumable business oriented cloud transformation decision to select...
In this paper, we give a bigraphical model for context-aware mobile systems. We describe how to represent context-aware behaviors by means of Bigraphical Reactive System (BRS), which is proposed to provide a uniform way to model ubiquitous applications. A bigraph consists of two graphs, namely place graph and link graph respectively. We can depict mobility and context-awareness using bigraphs in mobile...
In large-scale video database, lots of different videos frequently share the similar content copied from the same source. Generally, those videos have certain semantic correlations, such as being of similar events and sharing the same topic. Mining these semantic correlations can greatly facilitate video search. However, as a preprocessing step, detecting and localizing the copy pair among videos,...
When an individual is closed to the optimal particle, its velocity will approximate to zero. This is the main reason why particle swarm optimization(PSO) algorithm is prone to trap into local minima. A new improved particle swarm optimization(IPSO) is proposed, in which is guaranteed to converge to the global optimization solution with probability one. During the running time, the mutation probability...
This existing multi-robot task allocation mechanisms treat tasks as simple, indivisible entities. Also in many applications, the dynamicity and complexity of the environment are not considered. In order to allocate the robots adaptively and flexibility according to the complex task and environment, this paper presents a multi-robot coordination approaches based on virtual pheromone which is inspired...
The CNTs (carbon nanotubes)/Cu composite thin films were fabricated by a method combined electrophoresis and electroplating techniques. Uniform composite films with CNTs content from 0 to 32.68% were prepared. Relationship between sample resistivity and CNTs content is also studied. It shows that the resistivity of composite film is even lower than that of copper. Special mechanisms of copper grain...
The single-walled carbon nanotubes (SWNTs) were randomly deposited on pre-treated silicon substrate by a self-assembling method. By this method, the SWNTs film with uniform distribution and random structure were formed and the density of SWNTs could be controlled by the concentration of the SWNTs suspension and the assembling time. Also, Cr interdigitated electrodes were patterned on the assembled...
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