Developing
an effective and safe technology to control severe bacterial
diseases in agriculture has attracted significant attention. Here,
ZnO nanosphere and ZIF-8 are employed as core and shell, respectively,
and then a pH-responsive core–shell nanocarrier (ZnO-Z) was
prepared by in situ crystal growth strategy. The
bactericide berberine (Ber) was further loaded to form Ber-loaded
ZnO-Z (Ber@ZnO-Z) for control of tomato bacterial wilt disease. Results
demonstrated that Ber@ZnO-Z could release Ber rapidly in an acidic
environment, which corresponded to the pH of the soil where the tomato
bacterial wilt disease often outbreak. In vitro experiments
showed that the antibacterial activity of Ber@ZnO-Z was about 4.5
times and 1.8 times higher than that of Ber and ZnO-Z, respectively.
It was because Ber@ZnO-Z could induce ROS generation, resulting in
DNA damage, cytoplasm leakage, and membrane permeability changes so
the released Ber without penetrability more easily penetrated the
bacteria to achieve an efficient synergistic bactericidal effect with
ZnO-Z carriers after combining with DNA. Pot experiments also showed
that Ber@ZnO-Z significantly reduced disease severity with a wilt
index of 45.8% on day 14 after inoculation, compared to 94.4% for
the commercial berberine aqueous solution. More importantly, ZnO-Z
carriers did not accumulate in aboveground parts of plants and did
not affect plant growth in a short period. This work provides guidance
for the effective control of soil-borne bacterial diseases and the
development of sustainable agriculture.
ABSTRACT:Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution remote sensing images with complex background and various types of ships with different poses, shapes and scales. Related works mostly used gray and shape features to detect ships, which obtain results with poor robustness and efficiency. To detect ships more automatically and robustly, we propose a novel ship detection method based on the convolutional neural networks (CNNs), called S-CNN, fed with specifically designed proposals extracted from the ship model combined with an improved saliency detection method. Firstly we creatively propose two ship models, the "V" ship head model and the "||" ship body one, to localize the ship proposals from the line segments extracted from a test image. Next, for offshore ships with relatively small sizes, which cannot be efficiently picked out by the ship models due to the lack of reliable line segments, we propose an improved saliency detection method to find these proposals. Therefore, these two kinds of ship proposals are fed to the trained CNN for robust and efficient detection. Experimental results on a large amount of representative remote sensing images with different kinds of ships with varied poses, shapes and scales demonstrate the efficiency and robustness of our proposed S-CNN-Based ship detector.
The uniform distribution of S dopants elevated the valence band maximum by mixing S 3p with the upper valence band states of ZnO. The valence band maxima of S–ZnO was 0.37 eV higher than that of ZnO.
Glioblastoma (GBM) is a main subtype of high-grade gliomas with features in progressive brain tumor. Lipoma HMGIC fusion partner-like 3 (LHFPL3) is reported to be highly expressed in malignant glioma, but the relationship and mechanism between LHFPL3 and tumor is inexplicit. The present study aimed to screen the miRNAs targeting LHFPL3 and verify the pathogenesis and development of gliomas. Bioinformatics software predicted that miR-218-5p and miR-138-5p can specifically bind to LHFPL3 mRNA. And the expression of miR-218-5p and miR-138-5p was down-regulated in glioma cell lines and glioma tissues from the patients compared with the normal cells. While dual luciferase activity experiment confirmed, only miR-218-5p can directly bind to LHFPL3. After miR-218-5p transfection of U251 and U87 cells, cytological examinations found a reduction in cell activity, proliferation and invasive ability. Further study showed that miR-218-5p transfection could inhibit epithelial–mesenchymal transitions (EMT). Therefore, miR-218-5p targeting LHFPL3 mRNA plays significant roles in preventing the invasiveness of glioma cells. The present study also revealed a novel mechanism for miRNA–LHFPL3 interaction in glioma cells, which may be potential targets for developing therapies in treating glioma.
Here, a new type of anionic hybrid copolymerization is exploited via the concurrent oxa‐Michael addition of ethylene glycol and neopentyl glycol diacrylate and the ring‐opening polymerization of ε‐caprolactone. The hybrid copolymerization process and the resulting copolymers are characterized using nuclear magnetic resonance, size exclusion chromatography, differential scanning calorimetry measurements, and thermogravimetric analysis. The results show that the hybrid copolymerization can proceed smoothly under mild reaction conditions and that the synthesized copolymer contains ester and ether structures in the backbone, possibly endowing the polymers with good hydrophilicity and degradability. More importantly, the composition of the synthesized polymer can be easily adjusted by changing the monomer feed ratio, and the chain crystallization is significantly reduced due to the random copolymeric structure. This hybrid copolymerization reaction provides a new method for synthesizing degradable functional copolymers from commercially available materials. Hence, this polymerization is important not only in polymer chemistry but also in environmental and biomedical engineering.
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