Sentence examples for data processing information from inspiring English sources

All data processing information is available under request to the authors.

Other measures for data processing, information search and analyses, such as the use of KEGG (Kyoto Encyclopedia of Genes and Genomics; http://www.genome.jp/kegg/ and TRANSPATH, have been briefly described previously [ 14, 20].

During the statistical data processing, information on measurement uncertainty derived from the variance across technical replicates is exploited using the probability of positive log ratio (PPLR) statistic (Liu et al., 2006; Pearson et al., 2009) to score the differential abundance/expression of biomolecules across the biological conditions.

This is increasingly boosted by data acquisition and storage, information processing, data networking, and intelligence decision support increasingly infiltrating urban systems as operating and organizing processes of urban life.

The system relies on open source software and has been designed to facilitate the integration of additional components for enhanced information processing, data evaluation and generation of higher water level, current velocity and wave for the general public.

The ITS integrates effectively the technologies like information processing, data communication, electronic sensor, electronic control, and computer processing into the traffic management, in order to establish a comprehensive, real-time transport management system [1], which is accurate and efficient for large-scale applications.

In addition, the disturbance handling systems in these organizations, in terms of data collection, information processing, information sharing, and decision making, are found to be relatively weak and very informal.

While hyperspectral data are rich in information, processing the hyperspectral data poses several challenges regarding computation speed requirements, information redundancy removal, relevant information identification, and modeling accuracy.

Therefore, any data formats, data collection mechanisms and information processing steps should continue to retain and extend contextual characteristics of aggregated data as it moves vertically from raw state towards its manifestation as complex, serviceable information.

As a result, it is crucial to monitor the spread of illegal and harmful information, mine the hidden dangers behind big data, improve the information processing technology, and maintain the network security.

Hence the data on sensorimotor development as well as the data on basic information processing abilities (habituation dishabituation paradigm; 85 % of the videos codable; non-completion of child <1 %; inter-coder reliability in wave 1: κ = 0.91) both rely on scientifically well-established and successfully applied assessments.