284 research outputs found
Recurrent scattering and memory effect at the Anderson localization transition
We report on ultrasonic measurements of the propagation operator in a
strongly scattering mesoglass. The backscattered field is shown to display a
deterministic spatial coherence due to a remarkably large memory effect induced
by long recurrent trajectories. Investigation of the recurrent scattering
contribution directly yields the probability for a wave to come back close to
its starting spot. The decay of this quantity with time is shown to change
dramatically near the Anderson localization transition. The singular value
decomposition of the propagation operator reveals the dominance of very intense
recurrent scattering paths near the mobility edge.Comment: 5 pages, 4 figure
LĂ©opold Flameng et Charles Meryon : Ă propos dâun portrait conservĂ© au Louvre
En 1858 LĂ©opold Flameng, alors jeune graveur Ă la carriĂšre montante, rĂ©alise un dessin de son confrĂšre, Charles Meryon. VouĂ©e originellement Ă demeurer un souvenir intime, cette Ćuvre est devenue la plus connue et la plus diffusĂ©e de son auteur, appartenant aux collections du Louvre et figurant aujourdâhui sous sa forme gravĂ©e, dans les cabinets dâarts graphiques des plus grands musĂ©es du monde. Lâobjet de cette Ă©tude sera de comprendre les raisons pour lesquelles ce dessin obtĂźnt un tel succĂšs a posteriori et est perçu jusquâĂ aujourdâhui comme la traduction la plus aboutie de son modĂšle. Il sâagira de sâappuyer tant sur ses rĂ©alitĂ©s plastiques que sur lâimaginaire qui enveloppa sa genĂšse et le consacra comme une Ćuvre « mythique » au sens littĂ©ral.In 1858 Leopold Flameng, then a young engraver, made a drawing of his colleague, Charles Meryon. Originally meant to remain a private souvenir, this work became the best known and most widely distributed from the author. Belonging to the collections of the Louvre, it can be found in its engraved form in almost all the major museums of the world. This study will try to examine the reasons for the long-lasting success of this work. Why has it become the best incarnation of the model? We will answer this question using plastics realities on the one hand and the âmythicalâ genesis of the work by some authors on the other hand. A genesis which gave him an unexpected celebrity during the nineteenth and twentieth century
Pulse Propagation in Chains with Nonlinear Interactions
Pulse propagation in nonlinear arrays continues to be of interest because it
provides a possible mechanism for energy transfer with little dispersion. Here
we show that common measures of pulse dispersion might be misleading; in
strongly anharmonic systems they tend to reflect a succession of extremely
narrow pulses traveling at decreasing velocities rather than the actual width
of a single pulse. We present analytic estimates for the fraction of the
initial energy that travels in the leading pulses. We also provide analytic
predictions for the leading pulse velocity in a Fermi-Pasta-Ulam beta-chain
Trapped and marginally trapped surfaces in Weyl-distorted Schwarzschild solutions
To better understand the allowed range of black hole geometries, we study
Weyl-distorted Schwarzschild solutions. They always contain trapped surfaces, a
singularity and an isolated horizon and so should be understood to be
(geometric) black holes. However we show that for large distortions the
isolated horizon is neither a future outer trapping horizon (FOTH) nor even a
marginally trapped surface: slices of the horizon cannot be infinitesimally
deformed into (outer) trapped surfaces. We consider the implications of this
result for popular quasilocal definitions of black holes.Comment: The results are unchanged but this version supersedes that published
in CQG. The major change is a rewriting of Section 3.1 to improve clarity and
correct an error in the general expression for V(r,\theta). Several minor
errors are also fixed - most significantly an incorrect statement made in the
introduction about the extent of the outer prison in Vaidya. 17 pages, 2
figure
Heat demand estimation for different building types at regional scale considering building parameters and urban topography
This study aims towards an improved estimation of annual heat demand of the building stock for an entire region. This requires the holistic representation of aspects influencing the heat demand of buildings, namely their geometry, fabric, users and surrounding environment. A large data base for the building stock of the Swiss canton of Geneva was systematically assessed to identify parameters suited for representation of these aspects. Due to the expectable differences in heat demand, the building stock was categorized into 8 building types. For each type a multiple linear regression model was developed to predict the heat demand. An aspect which has so far been neglected by regression models of buildingsâ heat demand is the influence of microclimate. Since this aspect is considerably influenced by the surrounding topography, parameters suited for the representation of the urban topography were defined and included in the regression. The regression analysis revealed that all models were able to explain high shares of the variance (RÂČ: 71.2% to 88.9%). The mean average errors for hotel, health-care, educational and office buildings were ranging between 30.2% and 39.8% while the error for residential buildings was 17.8%. The suitability and of the selected parameters for heat demand prediction was analyzed in detail for the residential building model and revealed that almost all chosen parameters were highly suited
The SSN ontology of the W3C semantic sensor network incubator group
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations ? the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects
Single-cell immune repertoire sequencing of B and T cells in murine models of infection and autoimmunity
Adaptive immune repertoires are composed by the ensemble of B and T cell receptors (BCR, TCR) within an individual and reflect both past and current immune responses. Recent advances in single-cell sequencing enable recovery of the complete adaptive immune receptor sequences in addition to transcriptional information. Such high-dimensional datasets enable the molecular quantification of clonal selection of B and T cells across a wide variety of conditions such as infection and disease. Due to costs, time required for the analysis and current practices of academic publishing, small-scale sequencing studies are often not made publicly available, despite having informative potential to elucidate immunological principles and guide future-studies. Here, we performed single-cell sequencing of B and T cells to profile clonal selection across murine models of viral infection and autoimmune disease. Specifically, we recovered transcriptome and immune repertoire information for polyclonal T follicular helper cells following acute and chronic viral infection, CD8+ T cells with binding specificity restricted to two distinct peptides of lymphocytic choriomeningitis virus, and B and T cells isolated from the nervous system in the context of experimental autoimmune encephalomyelitis. We could relate repertoire features such as clonal expansion, germline gene usage, and clonal convergence to cell phenotypes spanning activation, memory, naive, antibody secretion, T cell inflation, and regulation. Together, this dataset provides a resource for experimental and computational immunologists that can be integrated with future single-cell immune repertoire and transcriptome sequencing datasets
Single-cell immune repertoire sequencing of B and T cells in murine models of infection and autoimmunity
Adaptive immune repertoires are composed by the ensemble of B and T cell receptors (BCR, TCR) within an individual and reflect both past and current immune responses. Recent advances in single-cell sequencing enable recovery of the complete adaptive immune receptor sequences in addition to transcriptional information. Such high-dimensional datasets enable the molecular quantification of clonal selection of B and T cells across a wide variety of conditions such as infection and disease. Due to costs, time required for the analysis and current practices of academic publishing, small-scale sequencing studies are often not made publicly available, despite having informative potential to elucidate immunological principles and guide future-studies. Here, we performed single-cell sequencing of B and T cells to profile clonal selection across murine models of viral infection and autoimmune disease. Specifically, we recovered transcriptome and immune repertoire information for polyclonal T follicular helper cells following acute and chronic viral infection, CD8+ T cells with binding specificity restricted to two distinct peptides of lymphocytic choriomeningitis virus, and B and T cells isolated from the nervous system in the context of experimental autoimmune encephalomyelitis. We could relate repertoire features such as clonal expansion, germline gene usage, and clonal convergence to cell phenotypes spanning activation, memory, naive, antibody secretion, T cell inflation, and regulation. Together, this dataset provides a resource for experimental and computational immunologists that can be integrated with future single-cell immune repertoire and transcriptome sequencing datasets
Single-dose cholera vaccine in response to an outbreak in Zambia
ProducciĂłn CientĂficaKilled oral cholera vaccines (OCVs) are part of the standard response package to a cholera outbreak, although the two-dose regimen of vaccines that has been prequalified by the World Health Organization (WHO) poses challenges to timely and efficient reactive vaccination campaigns.1 Recent data suggest that the first dose alone provides short-term protection, similar to that of two doses, which may largely dictate the effect of OCVs during epidemic
BTN3A2 Expression in Epithelial Ovarian Cancer Is Associated with Higher Tumor Infiltrating T Cells and a Better Prognosis
BTN3A2/BT3.2 butyrophilin mRNA expression by tumoral cells was previously identified as a prognostic factor in a small cohort of high grade serous epithelial ovarian cancer (HG-EOC). Here, we evaluated the prognostic value of BT3.2 at the protein level in specimen from 199 HG-EOC patients. As the only known role of butyrophilin proteins is in immune regulation, we evaluated the association between BT3.2 expression and intratumoral infiltration of immune cells by immunohistochemistry with specific antibodies against BT3.2, CD3, CD4, CD8, CD20, CD68 and CD206. Epithelial BT3.2 expression was significantly associated with longer overall survival and lower risk of disease progression (HRâ=â0.651, pâ=â0.006 and HRâ=â0.642, pâ=â0.002, respectively) and significantly associated with a higher density of infiltrating T cells, particularly CD4+ cells (0.272, p<0.001). We also observed a strong association between the relative density of CD206+ cells, as evaluated by the ratio of intratumoral CD206+/CD68+ expression, and risk of disease progression (HRâ=â1.355 pâ=â0.044, respectively). In conclusion, BT3.2 protein is a potential prognostic biomarker for the identification of HG-EOC patients with better outcome. In contrast, high CD206+/CD68+ expression is associated with high risk of disease progression. While the role of BT3.2 is still unknown, our result suggest that BT3.2 expression by epithelial cells may modulates the intratumoral infiltration of immune cells
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