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Drug design | Strobilurins | Biological activity | Structure-activity relationships |Cytochrome bc 1 complexIn searching for novel fungicidal leads, a series of pyrazole-containing strobilurins were rationally designed, synthesized and characterized. Bioassay indicated that compound I-7 displayed excellent fungicidal activity against a broad spectrum of plant pathogens such as Gibberella zeae, Rhizoctonia cerealis, Sclerotinia sclerotiorum, Phytophthora infestans, Physalospora piricola and Pellicularia sasakii with EC 50 of 0.16, 0.02, 0.72, 0.07, 0.77 and 0.65 μg/mL, respectively, which were 3-10 times more potent than the positive control azoxystrobin against the corresponding pathogens. Moreover, like azoxystrobin and kresoxim methyl, I-7, displayed excellent protective activity against P. sorghi. Molecular docking validated that I-7 and azoxystrobin would share a similar binding mode with cytochrome bc 1 complex. This study demonstrates that I-7 is a promising fungicidal candidate for further development.

Nanopapers derived from nanofibrillated cellulose (NFC) are urgently required as attractive substrates for thermal management applications of electronic devices because of their lightweight, easy cutting, cost efficiency, and sustainability. In this paper, we provided a facile fabrication strategy to construct hybrid nanopapers composed of dialdehyde nanofibrillated cellulose (DANFC) and silver nanoparticles (AgNPs), which exhibited a favorable thermal conductivity property. AgNPs were in situ proceeded on the surface of DANFC by the silver mirror reaction inspired by the aldehyde groups. Owing to the intermolecular hydrogen bonds inside the hybrid nanopapers, the DANFC enables the uniform dispersion of AgNPs as well as promotes the formation of the hierarchical structure. It was found that the AgNPs-coated DANFC (DANFC/Ag) hybrid nanopapers could easily form an effective thermally conductive pathway for phonon transfer. As a result, the thermal conductivity (TC) of the obtained DANFC/Ag hybrid nanopapers containing only 1.9 vol % of Ag was 5.35 times higher than that of the pure NFC nanopapers along with a significantly TC enhancement per vol % Ag of 230.0%, which was supposed to benefit from the continuous heat transfer pathway constructed by the connection of AgNPs decorated on the cellulose nanofibers. The DANFC/Ag hybrid nanopapers possess potential applications as thermal management materials in the next-generation portable electronic devices.

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In this article, a novel performance-seeking control method based on deep neural network and interval analysis is proposed to obtain a better engine performance. A deep neural network modeling method which has stronger representation capability than conventional neural network and can deal with big training data is adopted to establish an on-board model in the subsonic and supersonic cruising envelops. Meanwhile, a global optimization algorithm interval analysis is applied here to get a better engine performance. Finally, two simulation experiments are conducted to verify the effectiveness of the proposed methods. One is the on-board model modeling which compares the deep neural network with the conventional neural network, and the other is the performance-seeking control simulations comparing interval analysis with feasible sequential quadratic programming, particle swarm optimization, and genetic algorithm, respectively. These two experiments show that the deep neural network has much higher precision than the conventional neural network and the interval analysis gets much better engine performance than feasible sequential quadratic programming, particle swarm optimization, and genetic algorithm.