Recurrence plots analysis of pressure fluctuations in fluidized beds

Recurrence plot (RP) and recurrence quantification analysis (RQA), as powerful statistical techniques, have been used for studying the dynamic behavior of gas-solids fluidized beds. The method of delays was used to reconstruct the state space attractor to carry out analysis in the reconstructed state space. In this work, variance of recurrence rate, which indicates density of recurrence points in RP, against different epoch lengths (time windows) for time series of pressure fluctuation of fluidized bed was calculated. It was concluded that the characteristic parameters of RPs could reflect the extent of chaos in fluidization behavior. The average cycle frequency and entropy as nonlinear dynamical invariants were evaluated with RQA at different aspect ratios. The estimated entropy showed a similar trend of average cycle frequency for different aspect ratios. The results also indicated that the entropy and average cycle frequency are higher in smaller aspect ratios showing that the importance of the finer structures. In addition, a minimum in average cycle frequency and entropy of the pressure fluctuations indicated a minimum deviation from periodicity or, in other words, a minimum deviation from the larger structures, of the bed. The results of this study allow the deep understanding the fluidized bed hydrodynamics which can then be used for scale up

Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics

Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to approximate to 80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body