[Objective] The paper was to study the antagonistic effect of Russula virescens （Schaeff.） Ft. against Bortrytis cinerea. [Method] Using the confrontation culture method, the antagonistic effect of mycelium, ferment...[Objective] The paper was to study the antagonistic effect of Russula virescens （Schaeff.） Ft. against Bortrytis cinerea. [Method] Using the confrontation culture method, the antagonistic effect of mycelium, fermentation broth and mycelial extract of R. virescens against B. cinerea was studied. [Result] The antagonistic ef- fect of R. vivesscens against B. cinerea was mainly manifested as hyperparasitism of mycelium and inhibition effect of metabolites. The inhibition rate of confrontation growth was between 46.9% and 52.3%, and hyperparasitism phenomenon was obvi- ous. The fermentation broth of R. virescens cultured by PDB medium had the strongest growth inhibition effect, and the growth inhibition rate against B. cinerea was the highest of 61.59%. The thermal stability of fermentation broth was good, the mycelial extract of R. virescens had no inhibition effect against the growth of B. cinerea. [Conclusion] The study provided theoretical basis for subsequent differentiation and drug sensitivity of B. cinerea.展开更多
In this article,we first establish an asymptotically sharp result on the higher order Fréchet derivatives for bounded holomorphic mappings f(x)=f(0)+∞∑s=1Dskf(0)(x^(sk))/(sk)!:B_(X)→B_(Y),where B_X is the unit...In this article,we first establish an asymptotically sharp result on the higher order Fréchet derivatives for bounded holomorphic mappings f(x)=f(0)+∞∑s=1Dskf(0)(x^(sk))/(sk)!:B_(X)→B_(Y),where B_X is the unit ball of X.We next give a sharp result on the first order Fréchet derivative for bounded holomorphic mappings F(X)=F(0+)∞∑s=KD^(s)f(0)(x^(8)/s!):B_(X)→B_(Y),where B_(X)is the unit ball of X.The results that we derive include some results in several complex variables,and extend the classical result in one complex variable to several complex variables.展开更多
The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human handwriting.The majority of currently available methods use either a generative adversarial network(GAN)o...The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human handwriting.The majority of currently available methods use either a generative adversarial network(GAN)or a recurrent neural network(RNN)to generate new handwriting styles.This is why these techniques frequently fall short of producing diverse and realistic text pictures,particularly for terms that are not commonly used.To resolve that,this research proposes a novel deep learning model that consists of a style encoder and a text generator to synthesize different handwriting styles.This network excels in generating conditional text by extracting style vectors from a series of style images.The model performs admirably on a range of handwriting synthesis tasks,including the production of text that is out-of-vocabulary.It works more effectively than previous approaches by displaying lower values on key Generative Adversarial Network evaluation metrics,such Geometric Score(GS)(3.21×10^(-5))and Fréchet Inception Distance(FID)(8.75),as well as text recognition metrics,like Character Error Rate(CER)and Word Error Rate(WER).A thorough component analysis revealed the steady improvement in image production quality,highlighting the importance of specific handwriting styles.Applicable fields include digital forensics,creative writing,and document security.展开更多
In this article we consider the asymptotic behavior of extreme distribution with the extreme value index γ>0 . The rates of uniform convergence for Fréchet distribution are constructed under the second-order ...In this article we consider the asymptotic behavior of extreme distribution with the extreme value index γ>0 . The rates of uniform convergence for Fréchet distribution are constructed under the second-order regular variation condition.展开更多
基金Supported by Applied Foundation Project of Science and Technology Department of Sichuan Province (2008JY0021-2)~~
文摘[Objective] The paper was to study the antagonistic effect of Russula virescens （Schaeff.） Ft. against Bortrytis cinerea. [Method] Using the confrontation culture method, the antagonistic effect of mycelium, fermentation broth and mycelial extract of R. virescens against B. cinerea was studied. [Result] The antagonistic ef- fect of R. vivesscens against B. cinerea was mainly manifested as hyperparasitism of mycelium and inhibition effect of metabolites. The inhibition rate of confrontation growth was between 46.9% and 52.3%, and hyperparasitism phenomenon was obvi- ous. The fermentation broth of R. virescens cultured by PDB medium had the strongest growth inhibition effect, and the growth inhibition rate against B. cinerea was the highest of 61.59%. The thermal stability of fermentation broth was good, the mycelial extract of R. virescens had no inhibition effect against the growth of B. cinerea. [Conclusion] The study provided theoretical basis for subsequent differentiation and drug sensitivity of B. cinerea.
基金supported by the NSFC(11871257,12071130)supported by the NSFC(11971165)。
文摘In this article,we first establish an asymptotically sharp result on the higher order Fréchet derivatives for bounded holomorphic mappings f(x)=f(0)+∞∑s=1Dskf(0)(x^(sk))/(sk)!:B_(X)→B_(Y),where B_X is the unit ball of X.We next give a sharp result on the first order Fréchet derivative for bounded holomorphic mappings F(X)=F(0+)∞∑s=KD^(s)f(0)(x^(8)/s!):B_(X)→B_(Y),where B_(X)is the unit ball of X.The results that we derive include some results in several complex variables,and extend the classical result in one complex variable to several complex variables.
基金supported by the National Research Foundation of Korea(NRF)Grant funded by the Korean government(MSIT)(NRF-2023R1A2C1005950).
文摘The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human handwriting.The majority of currently available methods use either a generative adversarial network(GAN)or a recurrent neural network(RNN)to generate new handwriting styles.This is why these techniques frequently fall short of producing diverse and realistic text pictures,particularly for terms that are not commonly used.To resolve that,this research proposes a novel deep learning model that consists of a style encoder and a text generator to synthesize different handwriting styles.This network excels in generating conditional text by extracting style vectors from a series of style images.The model performs admirably on a range of handwriting synthesis tasks,including the production of text that is out-of-vocabulary.It works more effectively than previous approaches by displaying lower values on key Generative Adversarial Network evaluation metrics,such Geometric Score(GS)(3.21×10^(-5))and Fréchet Inception Distance(FID)(8.75),as well as text recognition metrics,like Character Error Rate(CER)and Word Error Rate(WER).A thorough component analysis revealed the steady improvement in image production quality,highlighting the importance of specific handwriting styles.Applicable fields include digital forensics,creative writing,and document security.
文摘In this article we consider the asymptotic behavior of extreme distribution with the extreme value index γ>0 . The rates of uniform convergence for Fréchet distribution are constructed under the second-order regular variation condition.
