Risk factors for death in hospitalized dysentery patients in Rwanda.

To evaluate the management of severe dysentery cases in in-patient facilities during an epidemic of Shigella dysenteriae type 1 (Sd1), and to identify the factors associated with the risk of death, we conducted a prospective cohort study in 10 Rwandese hospitals between September and December 1994. Data were obtained from 849 cases admitted to hospitals with diarrhoea and visible blood in stools. The proportion of patients with persistent bloody diarrhoea was 51.0% at treatment day 3 and 27.9% at treatment day 5. At discharge, 79.9% had improved or were cured. The case fatality ratio was 13.2%, higher for patients treated with nalidixic acid than for those treated with ciprofloxacin (12.2% vs. 2.2%, RR = 5.80, 95% CI = 0.83-40.72). In a logistic regression model three risk factors were significantly associated with an increased risk of death during hospitalization: severe dehydration on admission (adjusted OR = 2.79, 95% CI = 1.46-5.33), age over 50 (adjusted OR vs. 5-49 age group = 3.22, 95% CI = 1.70-6.11) and prescription of nalidixic acid (adjusted OR vs. ciprofloxacin = 8.66, 95% CI = 1.08-69.67). Those results were consistent with reported high levels of resistance of Sd1 to the commonest antibiotics, including nalidixic acid. Patients belonging to groups with a higher risk of dying should be given special medical attention and supportive care. In areas of high resistance to nalidixic acid, severe cases of dysentery should be treated with fluoroquinolones in order to reduce the mortality associated with these epidemics

Tests d'évaluation du degré de pollution des sédiments marins : effets sur la production de larves et la consommation d'algues chez le copépode Tigriopus brevicornis

L'eau interstitielle ou l'eau de lessivage d'un sédiment est mise en contact avec des lots de 50 femelles ovigères du copépode Tigriopus brevicornis. Notons que ce microcrustacé marin est sensible à la pollution mais résistant aux caractéristiques physico-chimiques des types d'eaux testés (salinité et température notamment). On évalue ensuite les effets de ces eaux sur la production larvaire en 10 jours et sur l'ingestion en 4 jours par les copépodes d'une suspension de Phaeodactylum tricornutum. Nous observons ici, pour des lots de sédiments provenant de la région de Marseille, des réductions de la production de larves variant de 61 % (Les Embiez) à 90 % (Vaine). Le test "consommation d'algues", bien moins sensible aboutit pour les mêmes stations à des réductions de 19 % à 35 %. Le test "production larvaire" du fait de sa plus grande sensibilité doit être préféré au test "consommation d'algues".Most pollutants discharged into the sea are found in sediments, generally after temporary fixation in planktonic organisms. The slightest discharge leaves a trace in the soft bottoms. Thus, it may be said that these behave as good "data storage indicators" testifying to the degree of pollution present. Sediments therefore represent a privileged field in research on the state of pollution in the aquatic ecosystem. How can the degree of pollution in this field be evaluated?A chemical analysis of pollutants in sediments is a good means of investigation to detect of degradation in the quality of waters. Most pollutants however are difficult to detect and dose. Moreover, in many cases dosage is tedious and costly. It is from this point of view that biological assays were considered essential.Interstitial water or water used to wash a sediment was placed in contact with batches of 50 ovigerous females of the copepod Tigriopus brevicornis. This marine microcrustacean is known to be sensitive to pollution, though resisting the physical and chemical effects of the waters tested (salinity and temperature, in particular). An evaluation was the made on the effects of these waters; first on larval production during a period of ten days, and then on ingestion by copepeds of a suspension of Pheodactylum tricornutum for four days.The results obtained here with batches of sediment from the Marseilles region show that the larval production test is the most sensitive one. Indeed, the inhibition percentages found by the larval production test range from 35 to 100 % (figure 1), whereas they vary from 5 to 55 % with the algae consumption test (figure 2). With the larval production test, it is possible to classify sediments according to their ecological quality.From this test, moreover, the presence of harmful substances in the sediments can be rapidly detected. Being reproductible and not expensive, it supplements the far too restrictive traditional chemical analyses. When applied to estuarine sedimentary zones, combined with other tests, it should help establish a quality coefficient for sediments based on experimentation

Viscous photons in relativistic heavy ion collisions

Theoretical studies of the production of real thermal photons in relativistic heavy ion collisions at the Relativistic Heavy Ion Collider (RHIC) are performed. The space-time evolution of the colliding system is modelled using MUSIC, a 3+1D relativistic hydrodynamic simulation, using both its ideal and viscous versions. The inclusive spectrum and its azimuthal angular anisotropy are studied separately, and the relative contributions of the different photon sources are highlighted. It is shown that the photon v2 coefficient is especially sensitive to the details of the microscopic dynamics like the equation of state, the ratio of shear viscosity over entropy density, eta/s, and to the morphology of the initial state.Comment: 15 pages, 12 figures. References updated and discussion adde

Currents under land-fast ice in the Canadian Arctic Archipelago Part 1: Vertical velocities

A 614 kHz acoustic Doppler current profiler was deployed through land-fast ice in Resolute Passage, in the Canadian Archipelago for 30 days in April and May 1992. It was demonstrated that in the mean, at tidal and at high frequencies the instrument was stable and aligned within 0.5° of vertical, permitting unambiguous measurement of the horizontal, and more importantly, the vertical velocity structure. The flow was dominated by tidal and high frequency (15 min period) oscillations. The K1 and M2 tidal currents were both approximately 10.0 cm s−1, oriented along-channel. The K1 component was constant with depth while the M2 component changed in magnitude and its sense of rotation. The corresponding vertical velocities showed maximum spectral power density in the semi-diurnal frequency band but were insignificant in the diurnal band. At high frequencies, 31 events, or groups of oscillations with vertical velocities greater than 3.5 cm s−1 were found. They were identified as finite amplitude internal waves trapped to the pycnocline, finite amplitude internal waves at greater depth (corresponding to a change in the density structure) and linear internal waves. The horizontal kinetic energy of the oscillations was dependent on the spring-neap tidal cycle. It is proposed that many were generated through interaction of the tidal flow with a compression ridge in the ice, located approximately 15 km from the measurement site

Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma

The Quark-Gluon Plasma (QGP) is a unique phase of nuclear matter, theorized to have filled the Universe shortly after the Big Bang. A critical challenge in studying the QGP is that, to reconcile experimental observables with theoretical parameters, one requires many simulation runs of a complex physics model over a high-dimensional parameter space. Each run is computationally very expensive, requiring thousands of CPU hours, thus limiting physicists to only several hundred runs. Given limited training data for high-dimensional prediction, existing surrogate models often yield poor predictions with high predictive uncertainties, leading to imprecise scientific findings. To address this, we propose a new Additive Multi-Index Gaussian process (AdMIn-GP) model, which leverages a flexible additive structure on low-dimensional embeddings of the parameter space. This is guided by prior scientific knowledge that the QGP is dominated by multiple distinct physical phenomena (i.e., multiphysics), each involving a small number of latent parameters. The AdMIn-GP models for such embedded structures within a flexible Bayesian nonparametric framework, which facilitates efficient model fitting via a carefully constructed variational inference approach with inducing points. We show the effectiveness of the AdMIn-GP via a suite of numerical experiments and our QGP application, where we demonstrate considerably improved surrogate modeling performance over existing models