Conduction,automaticity, and tonus of visceral muscles

Résumé Les muscles lisses des Vertébrés appartiennent à deux catégories: ceux des viscères, lesquels ont une fonction automatique, et ceux qui comme les muscles des vaisseaux sanguins sont innervés par les nerfs moteurs. Les propriétés physiologiques des muscles lisses viscéraux sont très semblables à celles du muscle cardiaque ainsi que l'a montré l'étude de la conduction, du potentiel d'action et des effets du courant électrique. Les particularités des muscles lisses viscéraux tiennent en grande partie à la lenteur de leur réaction et aux fluctuations que présente leur excitabilité. Cette dernière est influencée par des facteurs tels que des hormones, des excitations transmises par les nerfs extrinsèques et, dans le cas de l'intestin, par le système nerveux intrinsèque. Les contractions spontanées débutent par une activité locale qui augmente lentement et se manifeste par un changement du potentiel et un accroissement du «tonus». Le tonus se produit dans les muscles lisses par diverses modifications de l'état physiologique. Rien ne prouve qu'il soit provoqué par un mécanisme essentiellement différent de celui des contractions rapides.     

Effect of moisture on the aging behavior of asphalt binder

The moisture aging effect and mechanism of asphalt binder during the in-service life of pavement were investigated by laboratory simulating tests. Pressure aging vessel (PAV) test simulating the long-term aging of binder during the in-service life of pavement was modified to capture the long-term moisture aging effect of binder. Penetration grade tests including penetration test, soften point test, and ductility test as well as SuperpaveTM performance grade tests including viscosity test, dynamic shear rheometer test, and bending beam rheometer test were conducted to fully evaluate the moisture aging effect of binder. Fourier transform infrared spectroscopy test and Gel-permeation chromatography test were applied to provide a fundamental understanding of the moisture aging mechanism of binder. The results indicate that moisture condition can accelerate the aging of asphalt binder and shorten the service life of asphalt binder. The modified PAV test with moisture condition can well characterize the moisture aging properties of asphalt binder.     

Region of Interest Imaging for a General Trajectory with the Rebinned BPF Algorithm

The back-projection-filtration(BPF) algorithm has been applied to image reconstruction for cone-beam configurations with general source trajectories.The BPF algorithm can reconstruct 3-D region-of-interest(ROI) images from data containing truncations.However,like many other existing algorithms for cone-beam configurations,the BPF algorithm involves a back-projection with a spatially varying weighting factor,which can result in the non-uniform noise levels in reconstructed images and increased computation ti...     

Consistency Conditions for Cone-Beam CT Data Acquired with a Straight-Line Source Trajectory

A consistency condition is developed for computed tomography(CT) projection data acquired from a straight-line X-ray source trajectory.The condition states that integrals of normalized projection data along detector lines parallel to the X-ray path must be equal.The projection data is required to be untruncated only along the detector lines parallel to the X-ray path,a less restrictive requirement compared to Fourier conditions that necessitate completely untruncated data.The condition is implemented numeri...     

Dual-Energy Technique at Low Tube Voltages for Small Animal Imaging

We investigate the feasibility of dual-energy method for image contrast enhancement in small animal studies using a low kV X-ray radiographic system.A robust method for X-ray spectrum estimation from transmission measurements,based on expectation-maximization(EM) method,is applied to an X-ray specimen radiographic system for dual energy imaging of a mouse.From transmission measurements of two known attenuators at two different X-ray tube voltages,the X-ray energy spectra are reconstructed using the EM-based...     

Investigation of Sparse Data Mouse Imaging Using Micro-CT with a Carbon-Nanotube-Based X-ray Source

There has been a renewed interest in algorithm development for image reconstruction from highly incomplete data in computed tomography(CT).Such algorithms may lead to reduced imaging dose and time,and to the design of innovative configurations tailored to specific imaging tasks.In recent years,a carbon-nanotube(CNT)-based field-emission x-ray source has been developed,which offers easy electronic control of radiation and thus can be an ideal candidate for gated imaging.We have recently proposed algorithms f...     

Electron Spin Resonance Study of Fuel Cell Polymer Membrane Degradation

1 Introduction The long termstability of the membraneis ani mportant factor li mitingthe fuel cell lifeti me .During ex-tended use the membrane degrades , probably via reaction with hydroxyl and superoxide radicals which areregular intermediates of the oxygenreduction at the cathode .Only extremely stable membranes can withstandthe aggressive chemical and physical environment in an operating fuel cell . Within a given set of operatingconditions,intrinsic chemical and mechanical properties of t…     

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.     

Modeling of frequency containment reserve prices with econometrics and artificial intelligence

The forecasting of prices for electricity balancing reserve power can essentially improve the trading positions of market participants in competitive auctions. Having identified a lack of literature related to forecasting balancing reserve prices, we deploy approaches originating from econometrics and artificial intelligence and set up a forecasting framework based on autoregressive and exogenous factors. We use SARIMAX models as well as neural networks with different structures and forecast based on a rolling one-step forecast with reestimation of the models. It turns out that the naive forecast performs reasonably well but is outperformed by the more advanced models. In addition, neural network approaches outperform the econometric approach in terms of forecast quality, whereas for the further use of the generated models the econometric approach has advantages in terms of explaining price drivers. For the present application, more advanced configurations of the neural networks are not able to further improve the forecasting performance.