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Growing evidence demonstrates that long noncoding RNAs (lncRNAs) are involved in the progression of various cancers including glioma. Nuclear enriched abundant transcript 1 (NEAT1), an essential lncRNA for the formation of nuclear body paraspeckles, was not fully explored in glioma. We aimed to determine the expression, roles, and functional mechanisms of(More)
Ranking is a crucial task in information retrieval systems. This paper proposes a novel ranking model named WIRank, which employs a layered genetic programming architecture to automatically generate an effective ranking function, by combining various types of evidences in web image retrieval, including text information, image-based features and link(More)
Intelligent transportation system (ITS) is an effective measure to solve the problem of traffic jam. Accurate real-time predication of traffic flow is the key technology of ITS. In this paper a dynamic traffic flow forecasting model based on neural network is proposed. BP and RBF neural network are used to build the forecasting models. The data pre-handle(More)
Activated microglia are instrumental to neurodegeneration in Parkinson's disease (PD). Fractalkine, as an exclusive ligand for CX3CR1 expressed on microglia, has recently been reported to be released out by neurons, and induce microglial activation as a neuron-to-glia signal in the spinal cord. However, the role of fractalkine-induced microglial activation(More)
Through the foundation of a universal dependability indicator system and making use of the fuzzy synthesized evaluation method, a dependability evaluation model is established to solve the problem of software dependability evaluation. The feasibility and effectiveness of this model is proved by a representative example. It provides an effective method for(More)
Path and Keyword search in XML documents has recently become an active area of research, in which constructing an effective index is a key issue. Existing index structures and encoding schemes for XML query processing target the Parent-Child and Ancestor-Descendant relationships, however, they depend on large index space and complex algorithms used to(More)
New techniques are discussed for enhancing the classification precision of deep Web databases, which include utilizing the content texts of the HTML pages containing the database entry forms as the context and a unification processing for the database attribute labels. An algorithm to find out the content texts in HTML pages is developed based on multiple(More)
Semantic similarity between concepts supported by the use of ontology plays a prominent role in the concept of the semantic level to provide semantic information for Web services discovery and composition. In this work we consider ontology as knowledge structure that specifies concepts and their semantic relations. And we propose a fuzzy similarity measure(More)
Disaster situations are a challenge for network operators because they result in an extraordinary large number of calls being opened simultaneously compared to normal operating conditions. The Quality of Service (QoS) and Quality of Experience (QoE) for the end user can be widely affected by peak loads and result in severe degradation, basically due to(More)
In this paper, a new design is introduced on intelligent data-acquisition node of industrial Ethernet. The hardware is based on LPC2210, which is an embedded micro-controller with a 32-bit ARM core. The program is based on μC/OS-II, which is an embedded real-time multi-tasks operating system. The real-time data sampled by the intelligent node in the(More)