DECODING THE TISSUE-SPECIFIC PROFILES OF BIOACTIVE COMPOUNDS IN HELVELLA LEUCOPUS USING COMBINED TRANSCRIPTOMIC AND METABOLOMIC APPROACHES

Decoding the Tissue-Specific Profiles of Bioactive Compounds in Helvella leucopus Using Combined Transcriptomic and Metabolomic Approaches

Helvella leucopus, an endangered wild edible fungus, is renowned for its distinct health benefits and nutritional profile, with notable differences in the bioactive and nutritional properties between its cap and stipe.To investigate the molecular basis of these tissue-specific variations, we conducted integrative transcriptomic and metabolomic anal

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Theoretical and experimental research on influencing factors and rules of flow-induced rudder system vibration

Flow-induced rudder system vibration has a great influence on the stealthiness of underwater vehicles.In order to study the vibration characteristics of rudder systems, a mathematical model of a binary linear flutter rudder system is built according to a simplified rudder system structure.Next, the conditions of low speed flutter of the rudder syst

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Semantic segmentation of rusts and spots of wheat

The paper explores the possibility of semantic segmentation of the yellow rust and wheat blotch classification using the U-Net convolutional neural network architecture.Based on an own dataset of 268 images, collected in natural conditions and in infectious nurseries of the Federal Picture Frame Research Center for Biological Plant Protection (VNII

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