Search results for "Mali"
showing 10 items of 3900 documents
Rigidity transition in two-dimensional random fiber networks
2000
Rigidity percolation is analyzed in two-dimensional random fibrous networks. The model consists of central forces between the adjacent crossing points of the fibers. Two strategies are used to incorporate rigidity: adding extra constraints between second-nearest crossing points with a probability p(sn), and "welding" individual crossing points by adding there four additional constraints with a probability p(weld), and thus fixing the angles between the fibers. These additional constraints will make the model rigid at a critical probability p(sn)=p(sn)(c) and p(weld)=p(weld)(c), respectively. Accurate estimates are given for the transition thresholds and for some of the associated critical e…
Rigidity of random networks of stiff fibers in the low-density limit.
2001
Rigidity percolation is analyzed in two-dimensional random networks of stiff fibers. As fibers are randomly added to the system there exists a density threshold ${q=q}_{\mathrm{min}}$ above which a rigid stress-bearing percolation cluster appears. This threshold is found to be above the connectivity percolation threshold ${q=q}_{c}$ such that ${q}_{\mathrm{min}}=(1.1698\ifmmode\pm\else\textpm\fi{}{0.0004)q}_{c}.$ The transition is found to be continuous, and in the universality class of the two-dimensional central-force rigidity percolation on lattices. At percolation threshold the rigid backbone of the percolating cluster was found to break into rigid clusters, whose number diverges in the…
A note on the exterior centralizer
2009
The notion of the exterior centralizer \({C_G^{^\wedge}(x)}\) of an element x of a group G is introduced in the present paper in order to improve some known results on the non-abelian tensor product of two groups. We study the structure of G by looking at that of \({C_G^{^\wedge}(x)}\) and we find some bounds for the Schur multiplier M(G) of G.
LGBTQI+ icons between resistance and normalization: looking for mediatization of emotions in hashtags
2020
The mediatization of emotions emerges as an affordance of social media, the study of which involves paying attention to digital practices and to the construction and expression of public affection. This happens both for the great events and for the daily demonstrations of support or its denial. In this article we work on the phenomenon of the mediatization of emotions linked to two LGBTQI+ icons and expressed in hashtags on Twitter. Placing it in a specific context – the one of well-known television characters who have declared their homosexual orientation or transgender identity. The objective is to understand if the cloud of feelings they have created on Twitter is to be attributed to a t…
Traditional Chinese medicines (TCMs) for molecular targeted therapies of tumours.
2009
Scientific progress in genetics, cell and molecular biology has greatly ameliorated our comprehensive understanding of the molecular mechanisms of neoplastic transformation and progression. The rapidly advancing identification of molecular targets in human cancers during the last decade has provided an excellent starting point for the development of novel therapeutics. A huge variety of potential molecular targets have been identified, many of which are already in the market for therapeutic purposes. It is now becoming possible to target pathways and/or molecules that are crucial in maintaining the malignant phenotype. Traditional Chinese medicine (TCM) is often considered as alternative or…
An example of cancellation of infinities in the star-quantization of fields
1993
Within the *-quantization framework, it is shown how to remove some of the divergences occurring in theλo 2 4 -theory by introducing aλ-dependent *-product cohomologically equivalent to the normal *-product.
Minimality as vacuous distinctness: Evidence from cross-linguistic sentence comprehension
2009
Abstract Psycholinguistic theorising has long been shaped by the assumption that the processing system endeavours to minimise structures/relations during online comprehension. Within the scope of a recent cross-linguistic, neurocognitive model of sentence comprehension (Bornkessel and Schlesewsky, 2006), we also proposed that the assumption of a very general ‘Minimality’ principle can account for a variety of psycholinguistic findings from a range of languages. In the present paper, we review empirical evidence for this notion of Minimality, before going on to discuss its limitations. On the basis of this discussion, we propose that, rather than constituting an independent processing princi…
Topology-based goodness-of-fit tests for sliced spatial data
2023
In materials science and many other application domains, 3D information can often only be extrapolated by taking 2D slices. In topological data analysis, persistence vineyards have emerged as a powerful tool to take into account topological features stretching over several slices. In the present paper, we illustrate how persistence vineyards can be used to design rigorous statistical hypothesis tests for 3D microstructure models based on data from 2D slices. More precisely, by establishing the asymptotic normality of suitable longitudinal and cross-sectional summary statistics, we devise goodness-of-fit tests that become asymptotically exact in large sampling windows. We illustrate the test…
Appropriate kernels for Divisive Normalization explained by Wilson-Cowan equations
2018
The interaction between wavelet-like sensors in Divisive Normalization is classically described through Gaussian kernels that decay with spatial distance, angular distance and frequency distance. However, simultaneous explanation of (a) distortion perception in natural image databases and (b) contrast perception of artificial stimuli requires very specific modifications in classical Divisive Normalization. First, the wavelet response has to be high-pass filtered before the Gaussian interaction is applied. Then, distinct weights per subband are also required after the Gaussian interaction. In summary, the classical Gaussian kernel has to be left- and right-multiplied by two extra diagonal ma…
Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assessment.
2007
Abstract Background Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. However, the alignment methods seem inadequate for post-genomic studies since they do not scale well with data set size and they seem to be confined only to genomic and proteomic sequences. Therefore, alignment-free similarity measures are actively pursued. Among those, USM (Universal Similarity Metric) has gained prominence. It is based on the deep theory of Kolmogorov Complexity and universality is its most novel striking feature. Since it can only be approximated via data compression, USM is a methodology rath…