18 research outputs found
TINITALY/01: a new Triangular Irregular Network of Italy
A new Digital Elevation Model (DEM) of the natural landforms of Italy is presented. A methodology is discussed to
build a DEM over wide areas where elevation data from non-homogeneous (in density and accuracy) input sources
are available. The input elevation data include contour lines and spot heights derived from the Italian Regional topographic
maps, satellite-based global positioning system points, ground based and radar altimetry data. Owing to the
great heterogeneity of the input data density, the DEM format that better preserves the original accuracy is a Triangular
Irregular Network (TIN). A Delaunay-based TIN structure is improved by using the DEST algorithm that enhances
input data by evaluating inferred break-lines. Accordingly to this approach, biased distributions in slopes and
elevations are absent. To prevent discontinuities at the boundary between regions characterized by data with different
resolution a cubic Hermite blending weight S-shaped function is adopted. The TIN of Italy consists of 1.39×109
triangles. The average triangle area ranges from 12 to about 13000 m2 accordingly to different morphologies and different
sources. About 50% of the model has a local average triangle area <500 m2. The vertical accuracy of the obtained
DEM is evaluated by more than 200000 sparse control points. The overall Root Mean Square Error (RMSE)
is less than 3.5 m. The obtained national-scale DEM constitutes an useful support to carry out accurate geomorphological
and geological investigations over large areas. The problem of choosing the best step size in deriving a grid
from a TIN is then discussed and a method to quantify the loss of vertical information is presented as a function of
the grid step. Some examples of DEM application are outlined. Under request, an high resolution stereo image database
of the whole Italian territory (derived from the presented DEM) is available to browse via internet
Additional file 8: Table S4. of Shared genetic control of expression and methylation in peripheral blood
The 3321 probe pairs from the final correlation list. Phenotypic Person correlation and genetic correlations between expression and methylation probes, related statistics and heritabilities are provided. (CSV 390 kb
Between Prague and Vienna. Hermann Bahr and J.S. Machar and the spaces of (Central) European Modernism
This thesis deals with the relations between Czech and Viennese literary modernism during the 1890s, key amongst which were the contacts between Hermann Bahr and J. S. Machar. The contextual underpinnings, nature and significance of these relations are analysed in two monograph chapters. Chapter One focuses on the formation and transformation of Bahr's modernist programme as it moved between Berlin, Paris and Vienna, and an analysis is made of the programme keywords (Nervenkunst, Nervenromantik, Überwindung des Naturalismus, die Moderne, das gute Europäertum, Entdeckung der Provinz), which from the early 1890s found a response among Czech critics (e. g. F. Zákrejs, J. S. Machar and F. V. Krejčí). Bahr's conception of Viennese modernism and Austrian culture and the programme of the Die Zeit review were substantially influenced by Parisian experiences of the plurality of artistic production. Chapter Two follows developments in the work of J. S. Machar after he moved from Prague to Vienna in 1889. Machar's experience in Vienna is analysed in texts of various genres (lyric poetry, correspondence, autobiography, polemics and essay writing) and on the basis of his varying literary and intellectual contacts, while attention is paid in particular to his relationship with Jaroslav Vrchlický and T. G. Masaryk. A..
Additional file 21: Figure S13. of Shared genetic control of expression and methylation in peripheral blood
Distribution of probe variance explained by the best SNP. For each unique expression and methylation probe from the same chromosome probe pair list (614 probe pairs) best expression and methylation association SNP respectively were selected. Probes were split based on the shared QTL status of the probe pair they originate from. (PDF 6 kb
Additional file 4: Figure S4. of Shared genetic control of expression and methylation in peripheral blood
Correlation look up of previously published expression-methylation probe pairs. Pearson correlations between gene expression and DNA methylation before (610 individuals) and after (422 individuals) adjustment for cellular composition in the BSGS dataset for cis and trans probe pairs that showed significant association in Eijk et al. [11]. The majority of the correlations shifted toward zero upon the adjustment for cellular composition. (PDF 6 kb
Additional file 5: Figure S5. of Shared genetic control of expression and methylation in peripheral blood
Relationship between the observed (x-axis) and predicted (y-axis) cell proportions in the BSGS dataset split by cell type. Cell proportions were predicted utilizing methylation data with Houseman et al. [21] method re-trained on Reinius et al. [19] dataset. The predicted proportions were calibrated on the 422 subsample that have cellular composition measured to have a slope equal one and an intercept equal zero when regressed on observed proportions (see Table S1 for correlations between observed and predicted proportions). The red line is an identity line. (PDF 27 kb
Additional file 12: Figure S7. of Shared genetic control of expression and methylation in peripheral blood
Distribution of the heritability of expression and methylation probes from the final list of correlated probe pairs (3321 probe pairs). Unique expression and methylation probes were extracted from 2707 different chromosome and 614 same chromosome probe pairs. (PDF 6 kb
Additional file 1 of Autosomal genetic control of human gene expression does not differ across the sexes
Supplementary figures. (PDF 971 kb
Additional file 6: of Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis
Figure S3. Expression levels of the top 500 most variable transcripts in CD4 and CD8 cells, shown for each of 135 samples. Sample groups are indicated by the orange (CD4) and blue (CD8) bars at the top of the heatmap. (DOCX 555 kb
Additional file 5: of Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis
Table S3. General disease outcome and prognostic measures. (DOCX 38 kb