Deep learning (DL) provides an effective approach for light field (LF) reconstruction that aims to synthesize novel views from sparse-sampled views. However, it is challenging address domain asymmetry when adopting spatial-angular interaction LF methods. To solve this problem, a view-selective angular feature extraction block (VS-LFAFE) proposed obtain full-resolution features enumerate whole v...

The present study is done to examine and optimize the process of enzyme-assisted extraction of Gallic acid from the dried fruit of Emblica officinalis. The aqueous extraction yielded 12.09% of Gallic acid. A selective extraction process after the treatment with enzymes is proposed by using 30% (v/v) methanol which releases up to 15.68% of the Gallic acid, present in the dried fruit. The optimal...

The Optimal Foraging Theory was used to identify possible patterns in bark extraction and the selective cutting of Anadenanthera colubrina (Angico), a medicinal plant. The hypotheses were built on two approaches: selection of collection place and bark exploitation occurrence in only one of these resource areas. The results suggest that the distance that must be traveled to reach each gathering ...

Microalgae contain valuable biologically active lipophilic substances such as omega-3 fatty acids and carotenoids. In contrast to the recovery of vegetable oils from seeds, where the extraction with supercritical CO₂ is used as a mild and selective method, economically viable application of this method on similarly soluble oils from microalgae requires, in most cases, much higher pressure. This...