4,843 research outputs found
Whispering gallery quantum well exciton polaritons in an Indium Gallium Arsenide microdisk cavity
Despite appealing high-symmetry properties that enable high quality factor
and strong confinement, whispering gallery modes of spherical and circular
resonators have been absent from the field of quantum-well exciton polaritons.
Here we observe whispering gallery exciton polaritons in a Gallium Arsenide
microdisk cavity filled with Indium Gallium Arsenide quantum wells, the testbed
materials of polaritonics. Strong coupling is evidenced in photoluminescence
and resonant spectroscopy, accessed through concomitant confocal microscopy and
near-field optical techniques. Excitonic and optical resonances are tuned by
varying temperature and disk radius, revealing Rabi splittings between 5 and 10
meV. A dedicated analytical quantum model for such circular polaritons is
developed, which reproduces the measured values. At high power, lasing is
observed and accompanied by a blueshift of the emission that points to the
regime of polariton lasing
Resource Optimal Truncated Multipliers for FPGAs
International audienceThis proposal presents the resource optimal design of truncated multipliers targeting field programmable gate arrays (FPGAs). In contrast to application specific integrated circuits (ASICs), the design for FPGAs has some distinct design challenges due to many possibilities of computing the partial products using logic-based or DSP-based sub-multipliers. To tackle this, we extend a previously proposed tiling methodology which translates the multiplier design into a geometrical problem: the target multiplier is represented by a board that has to be covered by tiles representing the sub-multipliers. The tiling with the least resources can be found with integer linear programming (ILP). Our extension considers the error of possibly unoccupied positions of the board and determines the tiling with the least resources that respects the maximal allowed error bound. This error bound is chosen such that a faithfully rounded truncated multiplier is obtained. Compared to previous designs that use a fixed number of guard bits or optimize at the level of the dot diagrams, this allows a much better use of sub-multipliers resulting in significant area savings without sacrificing the timing
Co-simulation coupling spectral/finite elements for 3D soil/structure interaction problems
International audienceThe coupling between an implicit finite elements (FE) code and an explicit spectral elements (SE) code has been explored for solving the elastic wave propagation in the case of soil/structure interaction problem. The coupling approach is based on domain decomposition methods in transient dynamics. The spatial coupling at the interface is managed by a standard coupling mortar approach, whereas the time integration is dealt with an hybrid asynchronous time integrator. An external coupling software, handling the interface problem, has been set up in order to couple the FE software Code_Aster with the SE software EFISPEC3D
Resource Optimal Squarers for FPGAs
International audienceSquaring is an essential operation in computer arithmetic that can be considered as a special case of multiplication where several simplifications can be applied to reduce the complexity of the resulting circuit. However, the design of a squarer is not straightforward for modern FPGAs that provide embedded DSP blocks and look-up-tables (LUTs). This work proposes a flexible method to design resource optimal squarers, i.e., a squarer that uses a minimum number of LUTs for a userdefined number of DSP blocks. The method uses an integer linear programming (ILP) formulation based on a generalization of multiplier tiling. It is shown that the proposed squarer design method significantly improves the LUT utilization for a given number of DSPs over previous methods, while maintaining a similar critical path delay and latency
Karatsuba with Rectangular Multipliers for FPGAs
Best paper awardInternational audienceThis work presents an extension of Karatsuba's method to efficiently use rectangular multipliers as a base for larger multipliers. The rectangular multipliers that motivate this work are the embedded 18×25-bit signed multipliers found in the DSP blocks of recent Xilinx FPGAs: The traditional Karatsuba approach must under-use them as square 18×18 ones. This work shows that rectangular multipliers can be efficiently exploited in a modified Karatsuba method if their input word sizes have a large greatest common divider. In the Xilinx FPGA case, this can be obtained by using the embedded multipliers as 16×24 unsigned and as 17×25 signed ones. The obtained architectures are implemented with due detail to architectural features such as the pre-adders and post-adders available in Xilinx DSP blocks. They are synthesized and compared with traditional Karatsuba, but also with (non-Karatsuba) state-of-the-art tiling techniques that make use of the full rectangular multipliers. The proposed technique improves resource consumption and performance for multipliers of numbers larger than 64 bits
Entropic effects on the structure of Lennard-Jones clusters
We examine in detail the causes of the structural transitions that occur for
those small Lennard-Jones clusters that have a non-icosahedral global minima.
Based on the principles learned from these examples we develop a method to
construct structural phase diagrams that show in a coarse-grained manner how
the equilibrium structure of large clusters depends on both size and
temperature. The method can be augmented to account for anharmonicity and
quantum effects. Our results illustrate that the vibrational entropy can play a
crucial role in determining the equilibrium structure of a cluster.Comment: 13 pages, 9 figure
Gene expression signature discriminates sporadic from post-radiotherapy-induced thyroid tumors
Both external and internal exposure to ionizing radiation are strong risk factors for the development of thyroid tumors. Until now, the diagnosis of radiation-induced thyroid tumors has been deduced from a network of arguments taken together with the individual history of radiation exposure. Neither the histological features nor the genetic alterations observed in these tumors have been shown to be specific fingerprints of an exposure to radiation. The aim of our work is to define ionizing radiation-related molecular specificities in a series of secondary thyroid tumors developed in the radiation field of patients treated by radiotherapy. To identify molecular markers that could represent a radiation-induction signature, we compared 25K microarray transcriptome profiles of a learning set of 28 thyroid tumors, which comprised 14 follicular thyroid adenomas (FTA) and 14 papillary thyroid carcinomas (PTC), either sporadic or consecutive to external radiotherapy in childhood. We identified a signature composed of 322 genes which discriminates radiation-induced tumors (FTA and PTC) from their sporadic counterparts. The robustness of this signature was further confirmed by blind case-by-case classification of an independent set of 29 tumors (16 FTA and 13 PTC). After the histology code break by the clinicians, 26/29 tumors were well classified regarding tumor etiology, 1 was undetermined, and 2 were misclassified. Our results help shed light on radiation-induced thyroid carcinogenesis, since specific molecular pathways are deregulated in radiation-induced tumors
Entropic effects on the Size Evolution of Cluster Structure
We show that the vibrational entropy can play a crucial role in determining
the equilibrium structure of clusters by constructing structural phase diagrams
showing how the structure depends upon both size and temperature. These phase
diagrams are obtained for example rare gas and metal clusters.Comment: 5 pages, 3 figure
Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury
The authors identify two subsets of peripheral nerve macrophages residing in the endoneurium and the epineurium and displaying a distinct transcriptome and response to injury. These cells lack the main microglia identity and have a distinct origin. While CNS microglia have been extensively studied, relatively little is known about macrophages populating the peripheral nervous system. Here we performed ontogenic, transcriptomic and spatial characterization of sciatic nerve macrophages (snMacs). Using multiple fate-mapping systems, we show that snMacs do not derive from the early embryonic precursors colonizing the CNS, but originate primarily from late embryonic precursors and become replaced by bone-marrow-derived macrophages over time. Using single-cell transcriptomics, we identified a tissue-specific core signature of snMacs and two spatially separated snMacs: Relm alpha(+)Mgl1(+) snMacs in the epineurium and Relm alpha(-)Mgl1(-) snMacs in the endoneurium. Globally, snMacs lack most of the core signature genes of microglia, with only the endoneurial subset expressing a restricted number of these genes. In response to nerve injury, the two resident snMac populations respond differently. Moreover, and unlike in the CNS, monocyte-derived macrophages that develop during injury can engraft efficiently in the pool of resident peripheral nervous system macrophages
Twin study reveals non-heritable immune perturbations in multiple sclerosis
Multiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system underpinned by partially understood genetic risk factors and environmental triggers and their undefined interactions. Here we investigated the peripheral immune signatures of 61 monozygotic twin pairs discordant for MS to dissect the influence of genetic predisposition and environmental factors. Using complementary multimodal high-throughput and high-dimensional single-cell technologies in conjunction with data-driven computational tools, we identified an inflammatory shift in a monocyte cluster of twins with MS, coupled with the emergence of a population of IL-2 hyper-responsive transitional naive helper T cells as MS-related immune alterations. By integrating data on the immune profiles of healthy monozygotic and dizygotic twin pairs, we estimated the variance in CD25 expression by helper T cells displaying a naive phenotype to be largely driven by genetic and shared early environmental influences. Nonetheless, the expanding helper T cells of twins with MS, which were also elevated in non-twin patients with MS, emerged independent of the individual genetic makeup. These cells expressed central nervous system-homing receptors, exhibited a dysregulated CD25–IL-2 axis, and their proliferative capacity positively correlated with MS severity. Together, our matched-pair analysis of the extended twin approach allowed us to discern genetically and environmentally determined features of an MS-associated immune signature
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