Measurement of the B semileptonic branching fraction into excited charm mesons

The territorial dialogue reveals to be, indeed, a process of stake in common of objectives which the group in charge of the territorial organization should share or in any cases which he should make his. Whereas a joint territorial policy can be the actual result of this reflection and opens the actors in a territorial coordination. This coordination is a process rationalizing of vision of the world which applies to the territory. This process collects the actors and transforms them into a collective actor: the practice of the territorial watch participates of this territorial policy joint and introduced in upstream. The territorial dialogue is so preliminary, possibly , in a joint territorial policy. It has for goal to come to an agreement on a territorial vision, and on an explicit gratitude(recognition) of the legitimacy of the actors having power to act on this vision. The recognition and so, the nearness, obtains by a link of the vision which hold the actors

Neural Collaborative Filtering

In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny. In this work, we strive to develop techniques based on neural networks to tackle the key problem in recommendation -- collaborative filtering -- on the basis of implicit feedback. Although some recent work has employed deep learning for recommendation, they primarily used it to model auxiliary information, such as textual descriptions of items and acoustic features of musics. When it comes to model the key factor in collaborative filtering -- the interaction between user and item features, they still resorted to matrix factorization and applied an inner product on the latent features of users and items. By replacing the inner product with a neural architecture that can learn an arbitrary function from data, we present a general framework named NCF, short for Neural network-based Collaborative Filtering. NCF is generic and can express and generalize matrix factorization under its framework. To supercharge NCF modelling with non-linearities, we propose to leverage a multi-layer perceptron to learn the user-item interaction function. Extensive experiments on two real-world datasets show significant improvements of our proposed NCF framework over the state-of-the-art methods. Empirical evidence shows that using deeper layers of neural networks offers better recommendation performance.Comment: 10 pages, 7 figure

Field Measurements Of Blade Stresses On Industrial Turbomachines

PaperPg. 23-34.High blade stresses can be induced in axial compressors by various asymmetrical flow conditions or adverse working conditions. A series of measurements were carried out on industrial and gas turbine axial compressors. After a brief review of the various measuring methods, test results are presented and commented. The information gained refers to various working conditions, such as rotating stall, surging, partial injection of the turbine of superchargers for Diesel engines as well as to the influence of the wake of blading, especially for compressors with movable guide vanes. The influence of lacing wires on axial compressor bladings is presented and commented with respect to efficiency loss and increase of noise level

A new lab facility for measuring bidirectional reflectance/emittance distribution functions of soils and canopies

Recently, a laboratory measurement facility has been realized for assessing the anisotropic reflectance and emittance behaviour of soils, leaves and small canopies under controlled illumination conditions. The facility consists of an ASD FieldSpec 3 spectroradiometer covering the spectral range from 350 – 2500 nm at 1 nm spectral sampling interval. The spectroradiometer is deployed using a fiber optic cable with either a 1°, 8° or 25° instantaneous field of view (IFOV). These measurements can be used to assess the plant pigment (chlorophyll, xanthophyll, etc.) and non-pigment system (water, cellulose, lignin, nitrogen, etc.). The thermal emittance is measured using a NEC TH9100 Infrared Thermal Imager. It operates in a single band covering the spectral range from 8 – 14 mm with a resolution of 0.02 K. Images are 320 (H) by 240 (V) pixels with an IFOV of 1.2 mrad. A 1000 W Quartz Tungsten Halogen (QTH) lamp is used as illumination source, approximating the radiance distribution of the sun. This one is put at a fixed position during a measurement session. Multi-angular measurements are achieved by using a robotic positioning system allowing to perform either reflectance or emittance measurements over almost a complete hemisphere. The hemisphere can be sampled continuously between 0° and 80° from nadir and up to a few degrees from the hot-spot configuration (depending on the IFOV of the measurement device) for a backscattering target. Measurement distance to targets can be varied between 0.25 and 1 m, although with a distance of more than 0.6 m it is not possible to cover the full hemisphere. The goal is to infer the BRDF (bidirectional reflectance distribution function) and BTDF (bidirectional thermal distribution function) from these multi-angular measurements for various surface types (like soils, agricultural crops, small tree canopies and artificial objects) and surface roughness. The steering of the robotic arm and the reading of the spectroradiometer and the thermal camera are all fully automated

Quantitation of Guggenheimella bovis and treponemes in bovine tissues related to digital dermatitis

Digital dermatitis is an inflammation of uncertain aetiology in the skin of the foot of cattle. In 2005, a novel microorganism, Guggenheimella bovis, was isolated from the advancing front of digital dermatitis lesions, suggesting a possible role in pathogenesis. In the present study, tissue samples of 20 affected cows were examined by quantitative PCR for G. bovis, treponemes and the total eubacterial load. High numbers of eubacteria and treponemes were found in most lesions, whereas only a few lesions contained Guggenheimella, and only at low concentrations. The results argue against the relevance of G. bovis in the aetiology of digital dermatitis in cattle, but are consistent with a role for treponeme

Satellite-Derived Variability in Chlorophyll, Wind Stress, Sea Surface Height, and Temperature in the Northern California Current System

Satellite-derived data provide the temporal means and seasonal and nonseasonal variability of four physical and biological parameters off Oregon and Washington ( 41 degrees - 48.5 degrees N). Eight years of data ( 1998 - 2005) are available for surface chlorophyll concentrations, sea surface temperature ( SST), and sea surface height, while six years of data ( 2000 - 2005) are available for surface wind stress. Strong cross-shelf and alongshore variability is apparent in the temporal mean and seasonal climatology of all four variables. Two latitudinal regions are identified and separated at 44 degrees - 46 degrees N, where the coastal ocean experiences a change in the direction of the mean alongshore wind stress, is influenced by topographic features, and has differing exposure to the Columbia River Plume. All these factors may play a part in defining the distinct regimes in the northern and southern regions. Nonseasonal signals account for similar to 60 - 75% of the dynamical variables. An empirical orthogonal function analysis shows stronger intra-annual variability for alongshore wind, coastal SST, and surface chlorophyll, with stronger interannual variability for surface height. Interannual variability can be caused by distant forcing from equatorial and basin-scale changes in circulation, or by more localized changes in regional winds, all of which can be found in the time series. Correlations are mostly as expected for upwelling systems on intra-annual timescales. Correlations of the interannual timescales are complicated by residual quasi-annual signals created by changes in the timing and strength of the seasonal cycles. Examination of the interannual time series, however, provides a convincing picture of the covariability of chlorophyll, surface temperature, and surface height, with some evidence of regional wind forcing

Large-Scale Forcing of the Agulhas Variability: The Seasonal Cycle

In this article the authors examine the kinematics and dynamics of the seasonal cycle in the western Indian Ocean in an eddy-permitting global simulation [Parallel Ocean Circulation Model, model run 4C (POCM-4C)]. Seasonal changes of the transport of the Agulhas Current are linked to the large-scale circulation in the tropical region. According to the model, the Agulhas Current transport has a seasonal variation with a maximum at the transition between the austral winter and the austral spring and a minimum between the austral summer and the austral autumn. Regional and basin-scale mass balances indicate that although the mean flow of the Agulhas Current has a substantial contribution from the Indonesian Throughflow, there appears to be no dynamical linkage between the seasonal oscillations of these two currents. Instead, evidence was found that the seasonal cycle of the western Indian Ocean is the result of the oscillation of barotropic modes forced directly by the wind

Modeling the Wind-Driven Variability of the South Indian Ocean

This article describes the results of numerical experiments carried out with a general circulation ocean model to investigate the effect of the seasonal cycle of the wind forcing on the Agulhas transport. Two cases are described. The first was initialized with temperature and salinity values obtained by horizontally averaging Levitus climatology. The second experiment was designed to isolate the spatial and temporal structure of the barotropic mode. The model, therefore, was initialized with constant values of temperature and salinity. Both experiments were started from rest, forced at their surface with Hellerman and Rosenstein wind stress climatology, and spun up until dynamical equilibrium. According to the experiments there are two distinct modes of variability in the south Indian Ocean. These modes appear to be separated by the topographic ridges that run south of Madagascar. On the western side of the basin there is a dominant mode with a maximum during spring–summer and a minimum during fall–winter. East of Madagascar there is a marked decrease of the circulation in fall and relative maximums during late summer and late winter. The midlatitude time variability, east of 45°E, appears to be dominated by advection and wave propagation. West of 45°E there is dominance by local wind forcing. A comparison between baroclinic and barotropic experiments indicates that although their annual mean structure is markedly different, their monthly anomalies, south of 30°S, are quite similar. This result, which agrees with previous theoretical and experimental studies, indicates that the seasonal adjustment in the south Indian Ocean is mostly accomplished by the westward propagation of barotropic planetary waves. This propagation is inhibited by the bottom topography of the Madagascar Ridge and Southwest Indian Ridge (~45°E). These topographic features appear to isolate the Agulhas Current in the western region from the large-scale gyre farther east at seasonal timescales