1 mg/L followed by movingui (Distemonanthus benthamianus) see more extracts (CE50 value 3.9 mg/L), padouk (Pterocarpus soyauxii Taubb) and moabi (Baillonella toxisperma) (CE50 value of 5.5 mg/L and 44 mg/L respectively). The TPC and condensed tannins

of extracts were in the range of 54-992 mg eq. gallic acid/g of extract and 8-60%, respectively. Homopterocarpin and pterocarpin were the major compounds found in the extracts of padouk. Catechin, gallic acid, and pyrogallol were the major compounds identified in tali extracts. Movingui extracts principally contain diterpenes. Gallic acid, squalene and triperpenes were the major compounds of moabi extracts. (C) 2012 Elsevier B.V. All rights reserved.”
“Exogenous surfactant has been the primary life-saving therapy for respiratory distress syndrome (RDS) of preterm infants for many years. More recently, early surfactant treatment administered less invasively by transient endotracheal intubation and combined to nasal ventilation has been shown to further improve neonatal outcome by reducing the need of mechanical ventilation. In addition to RDS, other neonatal and pediatric respiratory disorders characterized by surfactant HKI 272 inactivation or dysfunction, such as pulmonary hemorrhage, aspiration pneumonia, and viral lower respiratory tract infection, might also be amenable to surfactant replacement therapy. However, the nature of lung injury and the

influence of co-morbidities may reduce the

efficacy of surfactant in these conditions. Currently under investigation are new syntethic surfactant formulations which may be more effective and resistant to inactivation than natural ones and could be produced at a lower cost. The use of surfactants to deliver drugs directly to the lung also seems to be a promising technique worthy of study.</.”
“The problem of high-resolution image volume reconstruction from reduced frequency acquisition sequences has drawn significant attention from the scientific community because of its practical importance in medical diagnosis. To address this issue, several reconstruction VX-680 strategies have been recently proposed, which aim to recover the missing information either by exploiting the spatio-temporal correlations of the image series, or by imposing suitable constraints on the reconstructed image volume. The main contribution of this paper is to combine both these strategies in a compressed sensing framework by exploiting the gradient sparsity of the image volume. The resulting constrained 3D minimization problem is then solved using a penalized forward-backward splitting approach that leads to a convergent iterative two-step procedure. In the first step, the updating rule accords with the sequential nature of the data acquisitions, in the second step a truly 3D filtering strategy exploits the spatio-temporal correlations of the image sequences.