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Article
Named entity recognition (NER) for Chinese agricultural diseases and pests based on discourse topic and attention mechanism
The named entities of agricultural diseases and pests are featured by complex word-formation and universal phenomena of word combination and entity embedding; in particular, in the domain of Chinese agricultur...
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Article
Open AccessLncRNA–protein interaction prediction with reweighted feature selection
LncRNA–protein interactions are ubiquitous in organisms and play a crucial role in a variety of biological processes and complex diseases. Many computational methods have been reported for lncRNA–protein inter...
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Article
Open AccessRT-IVT method allows multiplex real-time quantification of in vitro transcriptional mRNA production
For the past 30 years, in vitro transcription (IVT) technology has been extensively used for RNA production or for basic transcriptional mechanism research. However, methods for mRNA quantification still need ...
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Reference Work Entry In depth
Semantic Technology for Agriculture
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Living Reference Work Entry In depth
Semantic Technology for Agriculture
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Article
Open AccessA virus–target host proteins recognition method based on integrated complexes data and seed extension
Target drugs play an important role in the clinical treatment of virus diseases. Virus-encoded proteins are widely used as targets for target drugs. However, they cannot cope with the drug resistance caused by...
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Article
Open AccessProtein functional module identification method combining topological features and gene expression data
The study of protein complexes and protein functional modules has become an important method to further understand the mechanism and organization of life activities. The clustering algorithms used to analyze t...
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Article
A collective entity linking algorithm with parallel computing on large-scale knowledge base
Entity linking is a central concern of automatic knowledge question answering and knowledge base population. Traditional collective entity linking approaches only consider one of the entity contexts or semanti...
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Article
A parallel computing-based Deep Attention model for named entity recognition
Named entity recognition (NER) is an important task in natural language processing and has been widely studied. In recent years, end-to-end NER with bidirectional long short-term memory (BiLSTM) has received m...
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Chapter and Conference Paper
Label Distribution Learning-Based Semantic Retrieval Model on Knowledge Graph
The traditional retrieval technology is difficult to grip users’ intention accurately and apace in massive and fragmented data. To organize fragmented knowledge in reason and retrieve useful knowledge to recom...
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Chapter and Conference Paper
Agricultural Products Risk Assessment Model Based on Enhanced RNN
In recent years, with the improvement of the people’s living conditions and the arousal of consumers’ consciousness, the problem of Agricultural Product Quality Safety becomes a hot topic that more and more pe...
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Chapter
A Unified Catalytic Mechanism for Cyclic di-NMP Hydrolysis by DHH–DHHA1 Phosphodiesterases
Cyclic di-AMP is a vital second messenger other than cyclic di-GMP that regulates diverse cellular physiological processes in many bacteria. Its cellular level is controlled by the counter-actions of diadenyla...
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Chapter and Conference Paper
Sentiment Analysis of Chinese Agricultural News Based on the JST Model
Agricultural news usually describes objective facts, and its subjectivity is weak. Conventional sentiment analysis methods which can get high accuracy by definite sentiment trend are difficult to apply to the ...
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Chapter and Conference Paper
Recommendation Based on Attention Degree and Entropy
With the development of the Internet, the problem of information overload becomes more and more serious. The personalized recommendation technology can establish user profiles through the user’s behavior and o...
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Chapter and Conference Paper
Extracting Keyphrases from News Articles Using Crowdsourcing
Keyphrase extraction is a very important task in text mining. However, keyphrase extraction of news articles cannot be addressed by existing machine-based approaches effectively because of various reasons. Thi...
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Article
Open AccessBrlR from Pseudomonas aeruginosa is a receptor for both cyclic di-GMP and pyocyanin
The virulence factor pyocyanin and the intracellular second messenger cyclic diguanylate monophosphate (c-di-GMP) play key roles in regulating biofilm formation and multi-drug efflux pump expression in Pseudomona...
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Article
Succinate-acetate permease from Citrobacter koseri is an anion channel that unidirectionally translocates acetate
Acetate is an important metabolite in metabolism and cell signaling. Succinate-Acetate Permease (SatP) superfamily proteins are known to be responsible for acetate transport across membranes, but the nature of...
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Chapter and Conference Paper
Design and Implementation of a Self-powered Sensor Network Node
For the applications of Wireless Sensor Networks (WSN) randomly deployed in the complicated environment, the most important challenge is to design sensor networks that require long system lifetime and some me...
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Article
Open AccessThe PilZ domain of MrkH represents a novel DNA binding motif
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Article
Open AccessDcsbis (PA2771) from Pseudomonas aeruginosa is a highly active diguanylate cyclase with unique activity regulation
C-di-GMP (3’,5’ -Cyclic diguanylic acid) is an important second messenger in bacteria that influences virulence, motility, biofilm formation, and cell division. The level of c-di-GMP in cells is controlled by ...
