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L’objectif de cette étude était d’évaluer l’efficacité et la sécurité d’utilisation de l’implant intra vitréen de dexaméthasone (ID) chez les patients atteints d’œdème maculaire diabétique (OMD) en vraie vie.

Climate variability, particularly, that of the annual air temperature and precipitation, has received a great deal of attention worldwide. The magnitude of the variability of the factors changes according to the locations. The present study focuses on detecting the trends and variability in the annual temperature and rainfall for the district of Mandi in Himachal Pradesh, India. This study used annual and monsoon time series data for the time period 1981-2010 and modified the Mann-Kendall test and Sen's slope estimator in analyzing the problem. The results of the analysis indicate that the annual maximum temperature (TMX) and annual minimum temperature (TMN) for the period of 30 years have shown an increasing trend, whereas the monsoon’s maximum and minimum temperatures have shown a decreasing trend, although it is statistically not significant. The amount of annual rainfall does not show any significant trend, but the monsoonal rainfall has shown an increasing trend that is also statistically not significant. The resulting Mann-Kendall test statistic (Z) and Sen’s slope estimate (Q) of all the parameters studied indicate that changes are occurring in the magnitude and timing of the precipitation and temperature events at the Mandi station.

Évaluer l’efficacité précoce lors du pic d’efficacité 2 mois après injection d’un implant intra-vitréen de 0,7mg de dexaméthasone (OZURDEX®) chez des patients présentant une baisse d’acuité visuelle secondaire à un œdème maculaire diabétique (OMD).

To assess the correlation between lens thickness (LT) measured by ultrasonography and duration of surgery as well as complications.

Évaluer les pratiques françaises de prise en charge thérapeutique de l’œdème maculaire diabétique (OMD).

Scouring due to jet causes a lot of damages to hydraulic structures; therefore, it is very important to predict the scouring depth due to the jet near a hydraulic structure to increase its durability. In this paper, for predicting the scour depth, multiple nonlinear regression (MNLR) analysis has been performed which is mainly derived from the data obtained by experimental analysis. For collecting data, experiment analysis has been performed with the help of a submerged vertical impinging circular jet in the hydraulic laboratory of National Institute of Technology, Hamirpur, Himachal Pradesh, India. In this paper, the Artificial Neural Network (ANN) model was also used for determining the scour depths. The results obtained from the ANN model have been compared with multiple nonlinear regression analyses. The performance of ANN was found more influential than the MNLR for predicting the scour depth.