In this paper, the issue of malicious URL detection is investigated. Firstly a P system is proposed. Then the new P system is introduced to design the optimization algorithm of BP neural network to achieve the malicious URL detection with better performance. In the end some examples are included and corresponding experimental results display the advantage and effectiveness of the optimization algorithm proposed.

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In this study, a new red sorghum variety (Ji Liang No. 1) was investigated for its triacylglycerol ( TAG ) and fatty acid profiles, carotenoid and tocopherol compositions, total phenolic, total flavonoid and phenolic acid contents, and antioxidant and anti‐inflammatory properties. A total of 17 TAG s were identified in the red sorghum oil. Linoleic and oleic acids were the primary fatty acids, contributing more than 80% of the total fatty acids. β‐Carotene was the primary carotenoid at a level of 26.14 μg/g. α‐, γ‐, and δ‐tocopherols were at levels of 0.19, 4.08, and 0.10 μg/g, respectively. Moreover, acetone–water (60:40, v/v) extract of the red sorghum exhibited the greatest total phenolic content of 2.77 mg GAE /g and total flavonoid content of 5.44 mg RE /g. The extract had scavenging capacities against DPPH , ABTS + , and peroxyl radicals and suppressed LPS stimulated IL ‐1β, IL ‐6, and COX ‐2 mRNA expressions in a dose‐dependent manner. Ferulic, p ‐coumaric, isoferulic, and p ‐hydroxybenzoic acids were found in the red sorghum, with ferulic acid as the predominant phenolic acid and mostly in an insoluble bound form. These data indicated a potential utilization of the red sorghum in health‐promoting functional food or supplemental products.