In this paper, the finite-difference time-domain (FDTD) method is applied to calculate the resonant frequency of dielectric resonators (DR's) with curved surface. The contour-path integral FDTD (CFDTD) is modified to deal with the curved surface of the dielectric body while the traditional rectangular cells are maintained. Results are compared with theoretical values and staircase approximation, and show that the present method is more accurate than the staircase approximation.
Crimean-Congo hemorrhagic fever (CCHF) is a potentially fatal disease caused by a tick-borne virus in the family Bunyavridae. The disease occurs in parts of Africa, Asia, Middle East, and Eastern Europe. During recent years, an increasing number of human CCHF cases have been diagnosed in Iran, but very little information is available on the prevalence and genetic diversity of CCHFV in Iran. In the present study, CCHF virus (CCHFV) isolates from nine Iranian patients infected during 2002 were examined genetically. Nucleotide sequencing of the S- and M-segments, encoding the nucleocapsid protein (NP) and the glycoproteins, respectively, revealed that the different isolates were related closely to each other with nucleotide sequence identities exceeding 98% for both S- and M-segments. Phylogenetic analysis of partial S-segment nucleotide sequences showed that the viruses clustered along with strains from Pakistan and Madagascar in one distinct lineage. Phylogenetic analysis also demonstrated that the Iranian isolates examined in this study and the previously published CCHFV strain ArTeh193-3 clustered into different genetic groups, indicating that at least two genetic lineages of CCHFV could be co-circulating in Iran.
Investigations into stem cell-fueled renewal of an organ benefit from an inventory of cell type-specific markers and a deep understanding of the cellular diversity within stem cell niches. Using the adult mouse incisor as a model for a continuously renewing organ, we performed an unbiased analysis of gene co-expression relationships to identify modules of co-expressed genes that represent differentiated cells, transit-amplifying cells, and residents of stem cell niches. Through in vivo lineage tracing, we demonstrated the power of this approach by showing that co-expression module members Lrig1 and Igfbp5 define populations of incisor epithelial and mesenchymal stem cells. We further discovered that two adjacent mesenchymal tissues, the periodontium and dental pulp, are maintained by distinct pools of stem cells. These findings reveal novel mechanisms of incisor renewal and illustrate how gene co-expression analysis of intact biological systems can provide insights into the transcriptional basis of cellular identity.DOI:
http://dx.doi.org/10.7554/eLife.24712.001
In this paper we present a complete procedure for the extraction and characterization of building structures starting from the three-dimensional (terrain elevation) data provided by interferometric SAR measurements. Each building is detected and isolated from the surroundings by means of a suitably modified machine vision approach, originally developed for range image segmentation. The procedure is based on a local approximation of the 3D data by means of best-fitting planes. In this way, a building footprint, height and position, as well as its description with a simple 3D model, are recovered by a self-consistent partitioning of the topographic surface reconstructed from interferometric radar data. The method is validated by the analysis of 10 m resolution data recorded over Santa Monica, Los Angeles, by the airborne TOPSAR system operated by NASA-JPL. We present good results with respect to the detection of commercial buildings, and a quantitative evaluation shows that the heights of these structures are recovered almost with the same precision as the original data. Larger errors are instead evidenced in their footprints. Keywords4AR urban analysis, 3D building extraction.
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