Role of Nlrp6 and Nlrp12 in the maintenance of intestinal homeostasis

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102624/1/eji2871.pd

Tangerine sours

My thesis work will explore the use of the ceramic object as metaphor for the self. Due to my strong background and interest in science and mathematics, I have a tendency to process my surroundings through logical order and pattern. I am continuously searching for this order and trying to classify and organize data so that it makes sense to me. Finding this order within chaos, particularly in the natural world, is fascinating. My intention is to reference these biological elements in a form that has a clear delineation between interior and exterior. The dialogue between the two is where my interest lies. I wish to create an experience for the viewer that replicates my sense of discovery with objects; and, in turn, mirrors the human condition

Measurement of macroscopic plasma parameters with a radio experiment: Interpretation of the quasi-thermal noise spectrum observed in the solar wind

The ISEE-3 SBH radio receiver has provided the first systematic observations of the quasi-thermal (plasma waves) noise in the solar wind plasma. The theoretical interpretation of that noise involves the particle distribution function so that electric noise measurements with long antennas provide a fast and independent method of measuring plasma parameters: densities and temperatures of a two component (core and halo) electron distribution function have been obtained in that way. The polarization of that noise is frequency dependent and sensitive to the drift velocity of the electron population. Below the plasma frequency, there is evidence of a weak noise spectrum with spectral index -1 which is not yet accounted for by the theory. The theoretical treatment of the noise associated with the low energy (thermal) proton population shows that the moving electrical antenna radiates in the surrounding plasma by Carenkov emission which becomes predominant at the low frequencies, below about 0.1 F sub P

Dark Matter directional detection: comparison of the track direction determination

Several directional techniques have been proposed for a directional detection of Dark matter, among others anisotropic crystal detectors, nuclear emulsion plates, and low-pressure gaseous TPCs. The key point is to get access to the initial direction of the nucleus recoiling due to the elastic scattering by a WIMP. In this article, we aim at estimating, for each method, how the information of the recoil track initial direction is preserved in different detector materials. We use the SRIM simulation code to emulate the motion of the first recoiling nucleus in each material. We propose the use of a new observable, D, to quantify the preservation of the initial direction of the recoiling nucleus in the detector. We show that in an emulsion mix and an anisotropic crystal, the initial direction is lost very early, while in a typical TPC gas mix, the direction is well preserved.Comment: 9 pages, 5 figure

Enhanced degradation of softwood versus hardwood by the white-rot fungus Pycnoporus coccineus

16 p.-8 fig.-1 tab. Courier, Marie et al.This study was also funded by the French National Research Agency (A*MIDEX project ANR11-IDEX-0001-02;ANR FUNLOCK ANR-13-BIME-0002-01). The work by the US Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC02-05CH11231.Peer reviewe

Biodistribution et toxicité des nanocapsules chargées en 188Re après injection intratumorale par convection enhanced delivery chez la souris

Objectifs Déterminer la faisabilité, l’intérêt et la toxicité hématologique de l’administration intratumorale par convection enhanced delivery (CED) de nanocapsules chargées en 188Re (NCL-188Re). Matériels et méthodes L’étude de biodistribution des NCL-188Re vs perrhénate (188ReO4−) a été réalisée sur des souris nude (n = 30). Les animaux ont été séparés en 2 groupes : injection intratumorale de 188ReO4− pour le premier groupe (n = 15, 3 MBq) et de NCL-188Re pour le second groupe (n = 15, 3 MBq). Les animaux ont été sacrifiés à 1 h (n = 10), 24 h (n = 10) et 72 h (n = 10) après l’injection, les organes prélevés et comptés. La toxicité hématologique des NCL-188Re a été évaluée par prises de sang de 50 μL (sinus rétro-orbitaire) réalisées à j2, j7, j14 et j21 après traitement par NaCl (n = 4), NCL-188Re (3 MBq, n = 4), NCL-188Re (6 MBq, n = 4) et NCL-188Re (12 MBq, n = 4). Résultats La vectorisation par NCL a permis de limiter l’élimination urinaire du 188Re puisque dès 24 h post-IV 0,1 ± 0,1 % de la dose injectée (%D.I.) vs 81,9 ± 7,5 % D.I. sont retrouvés dans les urines pour les formes NCL188Re-SSS et 188ReO4-, respectivement, (p = 0,016). Celle-ci permet également de retrouver une activité significativement supérieure dans la tumeur à tous les temps de l’étude. L’administration unique de NCL-188Re a induit une toxicité modérée pour les activités injectées les plus élevées (12 MBq) se manifestant principalement par une thrombopénie transitoire de nadir j14–j18. Il n’a pas été observé de toxicité au niveau des autres lignées cellulaires pour les activités administrées de 3 et 6 MBq. Conclusions Les résultats obtenus montrent la faisabilité de l’injection intratumorale par CED et l’intérêt de la vectorisation du 188Re par les NCL. Les premiers signes de toxicité hématologiques sont en faveur du fractionnement des doses administrées et d’un meilleur ciblage par fonctionnalisation des NCL aux oestrogènes pour permettre une meilleure rétention tumorale

Noninvasive rapid detection of metabolic adaptation in activated human T lymphocytes by hyperpolarized ¹³C magnetic resonance.

The metabolic shift induced in human CD4 <sup>+</sup> T lymphocytes by stimulation is characterized by an upregulation of glycolysis, leading to an augmentation in lactate production. This adaptation has already been highlighted with various techniques and reported in several previous studies. We herein propose a method to rapidly and noninvasively detect the associated increase in flux from pyruvate to lactate catalyzed by lactate dehydrogenase using hyperpolarized <sup>13</sup> C magnetic resonance, a technique which can be used for in vivo imaging. It was shown that the conversion of hyperpolarized <sup>13</sup> C-pyruvate to <sup>13</sup> C-lactate during the one-minute measurement increased by a mean factor of 3.6 in T cells stimulated for 5 days as compared to resting T cells. This method can be extended to other metabolic substrates and is therefore a powerful tool to noninvasively analyze T cell metabolism, possibly in vivo

Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy

The numerical wavefront backpropagation principle of digital holography confers unique extended focus capabilities, without mechanical displacements along z-axis. However, the determination of the correct focusing distance is a non-trivial and time consuming issue. A deep learning (DL) solution is proposed to cast the autofocusing as a regression problem and tested over both experimental and simulated holograms. Single wavelength digital holograms were recorded by a Digital Holographic Microscope (DHM) with a 10$\mathrm{x}$ microscope objective from a patterned target moving in 3D over an axial range of 92 $\mu$m. Tiny DL models are proposed and compared such as a tiny Vision Transformer (TViT), tiny VGG16 (TVGG) and a tiny Swin-Transfomer (TSwinT). The experiments show that the predicted focusing distance $Z_R^{\mathrm{Pred}}$ is accurately inferred with an accuracy of 1.2 $\mu$m in average in comparison with the DHM depth of field of 15 $\mu$m. Numerical simulations show that all tiny models give the $Z_R^{\mathrm{Pred}}$ with an error below 0.3 $\mu$m. Such a prospect would significantly improve the current capabilities of computer vision position sensing in applications such as 3D microscopy for life sciences or micro-robotics. Moreover, all models reach state of the art inference time on CPU, less than 25 ms per inference

Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme

Non-linear analysis is of increasing importance in wind energy engineering as a result of their exposure in extreme conditions and the ever-increasing size and slenderness of wind turbines. Whilst modern computing capabilities facilitate execution of complex analyses, certain applications which require multiple or real-time analyses remain a challenge, motivating adoption of accelerated computing schemes, such as reduced order modelling (ROM) methods. Soil structure interaction (SSI) simulations fall in this class of problems, with the non-linear restoring force significantly affecting the dynamic behaviour of the turbine. In this work, we propose a ROM approach to the SSI problem using a recently developed ROM methodology. We exploit a data-driven non-linear ROM methodology coupling an autoencoder with long short-term memory (LSTM) neural networks. The ROM is trained to emulate a steel monopile foundation constrained by non-linear soil and subject to forces and moments at the top of the foundation, which represent the equivalent loading of an operating turbine under wind and wave forcing. The ROM well approximates the time domain and frequency domain response of the Full Order Model (FOM) over a range of different wind and wave loading regimes, whilst reducing the computational toll by a factor of 300. We further propose an error metric for capturing isolated failure instances of the ROM