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“With the growth of mechanization on the sugar cane plantation, the processes need to be speeded up, such as with the use of precision farming techniques to decrease the production cost. The purpose of this study was to compare the accuracy achieved by an auto guidance system driving the passes of a sugar cane planter machine over the field versus the manual system, compare the operational field capacity and compare the operational efficiency. Two treatments were analyzed: auto guidance by RTK GPS and manual guidance on the sugar cane planting operation. The evaluations were conducted under field conditions MI-503 molecular weight at IACO Agricola S/A mill, in Chapadao

do Sul-MS. According to the results, it was stated that the use of auto guidance system on sugar cane planting operation gathered an accuracy of 0.033 m pass to pass. This accuracy is five times greater than the obtained by the manual VX-770 mw steering system. The use of an auto guidance steering did not increase the operational efficiency of the mechanized system, which is limited by the harvesting and transporting

system of the sugar cane seeding to the planter.”
“Methodology for the reliability analysis of hydraulic gravity dam is the key technology in current hydropower construction. Reliability analysis for the dynamical dam safety should be divided into two phases: failure mode identification and the calculation of the failure probability. Both of them are studied based on the mathematical statistics and structure reliability theory considering two kinds of uncertainty characters (earthquake variability and material randomness). Firstly, failure mode identification method is established based on the dynamical limit state system and verified through example of Koyna LY2606368 ic50 Dam so that the statistical law of progressive failure process in dam body are revealed; Secondly, for the calculation of the failure probability, mathematical model and formula are established according

to the characteristics of gravity dam, which include three levels, that is element failure, path failure and system failure. A case study is presented to show the practical application of theoretical method and results of these methods.”
“Recently, agarose-containing macroalgae have gained attention as possible renewable sources for bioethanol-production because of their high polysaccharide content. Complete hydrolysis of agarose produces two monomers, D-galactose (D-Gal) and 3,6-anhydro-L-galactose (L-AnG). However, at present, bioethanol yield from agarophyte macroalgae is low due to the inability of bioethanolproducing microorganisms to convert non-fermentable sugars, such as L-AnG, to bioethanol.