Oxidation Behavior of Al-Y Coating on γ-TiAl at 900°C

Yang, Zhengang; Liang, Wenping; Miao, Qiang; Y, Hu R; Song, Yi Ping

doi:10.1590/s1517-707620190001.0649

Cited by 32 publications

(53 citation statements)

References 31 publications

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“…In fungal pathogens, polarized growth depends on a specialized protein subcomplex called polarisome (Harris et al, 2005). The accurate localization of Spa2, a central component of polarisome, is required for establishment of proper hyphae polarized growth in filamentous fungal pathogens (Meyer et al, 2008;Li et al, 2014;Cao et al, 2021;Zheng et al, 2021b;Zhu et al, 2022). In this study, approximate 40% of the vegetative hyphae of the MoMih1 showed abnormally swollen tips, and the central localization of MoSpa2-eGFP observed in the polarisome of KU80 was completely abolished in the swollen hyphae tips or asymmetrically localized in the twisted hyphae tips of MoMih1 mutant.…”

Section: Discussionmentioning

confidence: 99%

MoMih1 is indispensable for asexual development, cell wall integrity, and pathogenicity of Magnaporthe oryzae

Liu

Gong²,

Ma³

et al. 2023

Front. Plant Sci.

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Asexual spore serves as essential inoculum of rice blast during the disease cycle, and differentiation of young conidium from conidiophore is intimately regulated by cell cycle. Mih1 encodes a dual-specificity phosphatase that involved in the G2/M transition of the mitotic cell cycle by regulating the Cdk1 activity in eukaryotes. Till now, the roles of Mih1 homologue, however, remain unclear in Magnaporthe oryzae. We here functionally characterized the Mih1 homologue MoMih1 in M. oryzae. MoMih1 is localized to both the cytoplasm and nucleus and can physically interact with the CDK protein MoCdc28 in vivo. Loss of MoMih1 led to delayed nucleus division and a high level of Tyr15 phosphorylation of MoCdc28. The MoMih1 mutants showed retarded mycelial growth with a defective polar growth, less fungal biomass, and shorter distance between diaphragms, compared with the KU80. Asexual reproduction altered in MoMih1 mutants, with both abnormal conidial morphogenesis and decreased conidiation. The MoMih1 mutants severely attenuated the virulence to host plants due to the impaired ability of penetration and biotrophic growth. The incapability of scavenging of host-derived reactive oxygen species, which was possibly ascribed to the severely decreased extracellular enzymes activities, were partially associated with deficiency of pathogenicity. Besides, the MoMih1 mutants displayed also improper localization of retromer protein MoVps26 and polarisome component MoSpa2, and defects of cell wall integrity (CWI), melanin pigmentation, chitin synthesis, and hydrophobicity. In conclusion, our results demonstrate that MoMih1 plays pleiotropic roles during fungal development and plant infection of M. oryzae.

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Section: Discussionmentioning

confidence: 99%

MoMih1 is indispensable for asexual development, cell wall integrity, and pathogenicity of Magnaporthe oryzae

Liu

Gong²,

Ma³

et al. 2023

Front. Plant Sci.

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“…According to the literature on NiO x and WO x degradation, such a decrease is likely related to the irreversible trapping of the intercalated ions, possibly associated with the microstructural or pore-size change at the coating surface after thousands of cycles. 45,46 For irreversible ion trapping, quantifications at 0.01 atom % precision would be needed for measuring the concentration change of the intercalated species and will be done in a future study.…”

Section: Bipolar Electrochromic Reactionsmentioning

confidence: 99%

Multicolor Bipolar Modulation of Titanium–Chromium Oxide Electrochromic Coatings

Shen

Yang

ChengXing

et al. 2023

ACS Appl. Electron. Mater.

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Electrochromic (EC) materials offer wide-ranging commercial applications, including smart windows, electrochromic mirrors, and programmable static displays. While many conventional electrochromic applications require the encapsulation of the EC materials and other components inside a sealed cell, there are cases where the color appearance of the object’s surface needs to be durable in atmospheric or aquatic environments. Among the current fabrication methods for EC materials, atomic layer deposition (ALD) remains less explored. In this work, we fill these gaps by employing ALD to grow a (Ti,Cr)O x film as a new subset of EC coatings that operates in direct contact with aqueous solutions. The protective and bipolar coloration properties of the (Ti,Cr)O x are achieved by the ALD alloying of TiO2 and CrO x nanocrystals. Intrinsic EC performance showed excellent cycle stability of more than 2000 cycles in aqueous electrolytes of high salinity and high corrosion resistance in pH = 0 acid. Furthermore, multicolor modulation has been achieved via a Fabry–Perot optical cavity design. Microstructural and spectroscopic characterizations combined with finite-difference time-domain (FDTD) modeling allow us to correlate the optical appearance with coating electronic and microstructures. This work showed that this ALD-grown ternary EC coating can also act as a surface protection layer and has unique advantages over other EC materials to achieve balanced performance among color tunability, coloration efficiency, and cycle stability.

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“…Therefore, accurate longan fruit detection is the difficult part of realizing automatic yield estimation, which directly affects the accuracy and efficiency of orchard yield estimation. In recent years, researchers in related fields have used shape matching, color space transformation, threshold segmentation, multiscale feature fusion, fuzzy clustering and other methods to identify, detect and classify apples, oranges and other fruits (Jaisin et al, 2013;Xiong et al, 2018;Zhuang et al, 2019;He et al, 2020;Lin et al, 2020). The traditional machine learning methods used in these studies can only be used for image processing tasks with simple background conditions, and have poor robustness in the face of very complex actual orchard scenes.…”

Section: Introductionmentioning

confidence: 99%

A longan yield estimation approach based on UAV images and deep learning

Sun²,

Jia³

et al. 2023

Front. Plant Sci.

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Longan yield estimation is an important practice before longan harvests. Statistical longan yield data can provide an important reference for market pricing and improving harvest efficiency and can directly determine the economic benefits of longan orchards. At present, the statistical work concerning longan yields requires high labor costs. Aiming at the task of longan yield estimation, combined with deep learning and regression analysis technology, this study proposed a method to calculate longan yield in complex natural environment. First, a UAV was used to collect video images of a longan canopy at the mature stage. Second, the CF-YD model and SF-YD model were constructed to identify Cluster_Fruits and Single_Fruits, respectively, realizing the task of automatically identifying the number of targets directly from images. Finally, according to the sample data collected from real orchards, a regression analysis was carried out on the target quantity detected by the model and the real target quantity, and estimation models were constructed for determining the Cluster_Fruits on a single longan tree and the Single_Fruits on a single Cluster_Fruit. Then, an error analysis was conducted on the data obtained from the manual counting process and the estimation model, and the average error rate regarding the number of Cluster_Fruits was 2.66%, while the average error rate regarding the number of Single_Fruits was 2.99%. The results show that the method proposed in this paper is effective at estimating longan yields and can provide guidance for improving the efficiency of longan fruit harvests.

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Oxidation Behavior of Al-Y Coating on γ-TiAl at 900°C

Cited by 32 publications

References 31 publications

MoMih1 is indispensable for asexual development, cell wall integrity, and pathogenicity of Magnaporthe oryzae

MoMih1 is indispensable for asexual development, cell wall integrity, and pathogenicity of Magnaporthe oryzae

Multicolor Bipolar Modulation of Titanium–Chromium Oxide Electrochromic Coatings

A longan yield estimation approach based on UAV images and deep learning

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