Green solid lipid nanoparticles by coacervation of fatty acids: An innovative cosmetic ingredient for the delivery of anti-age compounds through the skin.

The constant exposure of the skin to internal and external stimuli drives towards skin aging and lost in skin hydration and elasticity. Chronic low-grade inflammation, called inflammaging, and oxidative stress are the leading causes of this phenomenon. Fatty acid coacervation is a preparation method for Solid Lipid Nanoparticles (SLNs), which does not employ solvents, and is associated to low energy consumption.

Exploring neural architectures for simultaneously recognizing multiple visual attributes.

Much experimental evidence in neuroscience has suggested a division of higher visual processing into a ventral pathway specialized for object recognition and a dorsal pathway specialized for spatial recognition. Previous computational studies have suggested that neural networks with two segregated pathways (branches) have better performance in visual recognition tasks than neural networks with a single pathway (branch). One previously proposed possibility is that two pathways increase the learning efficiency of a network by allowing separate networks to process information about different visual attributes separately.

Serotypes by Multiplex PCR Identification and Evaluation of Lung Lesions in Pigs from Piedmont (Italy) Farms.

Porcine pleuropneumonia (PPP) is one of the main causes leading to massive losses in the pig industry, with high economic impacts. Among different etiological agents, (APP) is responsible for severe fibrinous-necrotizing pleuropneumonia. A total of 19 different APP serotypes are currently recognized.

A spatial map: a propitious choice for constraining the binding problem.

Many studies have shown that the human visual system has two major functionally distinct cortical visual pathways: a ventral pathway, thought to be important for object recognition, and a dorsal pathway, thought to be important for spatial cognition. According to our and others previous studies, artificial neural networks with two segregated pathways can determine objects' identities and locations more accurately and efficiently than one-pathway artificial neural networks. In addition, we showed that these two segregated artificial cortical visual pathways can each process identity and spatial information of visual objects independently and differently.