91 research outputs found
Transmission of Light in Crystals with different homogeneity: Using Shannon Index in Photonic Media
Light transmission in inhomogeneous photonic media is strongly influenced by
the distribution of the diffractive elements in the medium. Here it is shown
theoretically that, in a pillar photonic crystal structure, light transmission
and homogeneity of the pillar distribution are correlated by a simple linear
law once the grade of homogeneity of the photonic structure is measured by the
Shannon index, widely employed in statistics, ecology and information entropy.
The statistical analysis shows that the transmission of light in such media
depends linearly from their homogeneity: the more is homogeneous the structure,
the more is the light transmitted. With the found linear relationship it is
possible to predict the transmission of light in random photonic structures.
The result can be useful for the study of electron transport in solids, since
the similarity with light in photonic media, but also for the engineering of
scattering layers for the entrapping of light to be coupled with photovoltaic
devices.Comment: 15 pages, 5 figure
Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: "Are we on the same page ?"
We study Socially Unacceptable Discourse (SUD) characterization and detection
in online text. We first build and present a novel corpus that contains a large
variety of manually annotated texts from different online sources used so far
in state-of-the-art Machine learning (ML) SUD detection solutions. This global
context allows us to test the generalization ability of SUD classifiers that
acquire knowledge around the same SUD categories, but from different contexts.
From this perspective, we can analyze how (possibly) different annotation
modalities influence SUD learning by discussing open challenges and open
research directions. We also provide several data insights which can support
domain experts in the annotation task
The Immunohistochemical Loss of H3K27me3 in Intracranial Meningiomas Predicts Shorter Progression-Free Survival after Stereotactic Radiosurgery
The immunohistochemical loss of histone H3 trimethylated in lysine 27 (H3K27me3) was recently shown to predict recurrence of meningiomas after surgery. However, its association with tumor progression after stereotactic radiosurgery (SRS) is unexplored. To investigate whether H3K27 methylation status may predict progression-free survival (PFS) after SRS, we assessed H3K27me3 immunoexpression in thirty-nine treatment naïve, intracranial, meningiomas, treated with surgery and subsequent SRS for residual (twenty-three cases) or recurrent (sixteen cases) disease. H3K27me3 immunostaining was lost in seven meningiomas, retained in twenty-seven and inconclusive in five. Six of the seven meningiomas (86%) with H3K27me3 loss had tumor progression after SRS, compared to nine of twenty-seven (33%) with H3K27me3 retention (p = 0.0143). In addition, patients harboring a meningioma with H3K27me3 loss had significantly shorter PFS after SRS (range: 10-81 months; median: 34 months), compared to patients featuring a meningioma with retained H3K27me3 (range: 9-143 months; median: 62 months) (p = 0.0036). Nonetheless, tumor sagittal location was the only significant prognostic variable at multivariate analysis for PFS after SRS (p = 0.0142). These findings suggest a previously unreported role of H3K27me3 as a predictor of meningioma progression after SRS for recurrent or residual disease. Modulation of H3K27 methylation status may represent a novel therapeutic strategy to induce radiosensitization of meningiomas
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