Complex reproductive cycle inEucheilota paradoxica (Hydrozoa: Leptomedusae): Medusae,polyps and frustules produced from medusa stage

Eucheilota paradoxica Mayer, 1900 is a small leptomedusa unknown in the Mediterranean Sea until 1977. Since then, it has become endemic and occurs in great abundance in autumn in the bay of Villefranche-sur-mer. Since no sexual stages have ever been collected, either from the Atlantic Ocean or from the Mediterranean Sea, we decided to investigate the still unknown life cycle of this species. Specimens were obtained in the bay of Villefranche-sur-mer from plankton hauls between 0 and 50 m depth during October and November 1986. At temperatures >18°C, the medusa reproduces intensively by asexual medusal budding (one young medusa liberated per two days). This asexual reproduction explains the rapid proliferation of the species and the origin of the large population every autumn. In cultures maintained at temperatures <18°C, two other reproduction modes, not yet reported in a leptomedusa, were observed: (1) At 16° to 17°C, frustules bud along the canals; these frustules are dormant, giving rise to a small polyp when the temperature increases once more above 18°C. (2) At temperatures close to 15°C each medusa, in place of the gonads, differentiate into one or two polyps; these polyps develop progressively, concomitant with gradual regression of the mother medusa.     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

Stabilization/solidification of ashes in clays used in the manufacturing of ceramic bricks.

This paper presents the results of the lixiviation of metals from different mixtures of fly and bottom ashes that have been stabilized and solidified in clays used in the manufacture of bricks. The ashes used for this study were obtained from a Hoffmann-type brick furnace adapted for the incineration of municipal solid waste during the manufacturing of ceramic bricks. The ashes were stabilized in clay in different proportions of clay:ash mix (99:1, 95:5, 90:10, 80:20 and 60:40). Such mixes were used to manufacture bricks that were calcined at a temperature ranging from 50 to 1100 degrees C. The clay, ashes and manufactured bricks were characterized using X-ray diffraction, fluorescent X-ray, thermogravimetry, differential thermal analysis, atomic absorption spectroscopy and scanning electronic microscopy. In addition, toxicity characteristic leaching procedure lixiviation tests were performed according to the EPA 1311 method for the determination of heavy metals. The results showed an affinity between clay and ash, and also that the bricks manufactured with these mixtures present low lixiviation levels. The tests also showed the highest decrease in the concentration of arsenic, nickel, chromium, zinc and silver for 99:1 mixtures. The 95:5 mixture was found to be the most favourable for the stabilization (greater concentration decrease) of lead and cadmium. Selenium was the metal with the lowest concentration change whereas arsenic, nickel, chromium, zinc and cadmium showed the greatest concentration change in all mixtures, with the exception of cadmium in the mixture 99:1.