new sesquiterpene-lactone,designated as neopentalenolactone D1(1),was isolated from the fermentation cultures of Streptomyces aureus SP-371,which is known for producing agricultural-bactericide aureonuclemycin.The che...new sesquiterpene-lactone,designated as neopentalenolactone D1(1),was isolated from the fermentation cultures of Streptomyces aureus SP-371,which is known for producing agricultural-bactericide aureonuclemycin.The chemical structure of compound 1 was determined to be a neopentapyrrole natural product with a 5/5/6 tricyclic skeleton and one amide functional group,by using spectroscopic techniques such as nuclear magnetic resonance(1D/2D NMR)and high-resolution mass spectrometry(HR-ESI-MS).Its structural information indicates that it is probably the shunt product of neopentalenolactone biosynthetic pathway.In antibacterial activity evaluations,compound 1 demonstrated no inhibitory effects against the tested strains including Escherichia coli(DH5a),Staphylococcus aureus,and Bacillus subtilis under the experimental conditions.展开更多
In the field of image denoising,the non-local self-similarity(NSS)prior has been widely validated.By exploiting the similar structural details within groups of similar patches to effectively extract redundant informat...In the field of image denoising,the non-local self-similarity(NSS)prior has been widely validated.By exploiting the similar structural details within groups of similar patches to effectively extract redundant information,it significantly improves the accuracy and quality of image restoration.This method can well preserve textures and edges while removing noise.However,NSS-based methods have certain limitations.They usually process patch groups as a whole and neglect the differences among patches within a group.In addition,constructing similar patch groups using NSS is challenging for highly noisy images,suffering from problems such as scarce similar patches and low similarity.To address these issues,this paper proposes an image denoising model with multi-scale group sparse representation based on weighted log-sum penalty.Based on the original-scale image,a multi-scale image sequence is constructed via upsampling and downsampling operations,which not only generates a large number of similar image patches at each individual scale to expand the overall pool of patch candidates,but also excavates structurally correlated similar patches across different scales through a cross-scale patch matching strategy,thus effectively enhancing the inter-patch similarity.Especially for images with high noise intensity,original image patches are severely disturbed by noise,making it difficult to find a sufficient number of highly similar matching patches at a single scale.In contrast,multi-scale construction can weaken the concentrated impact of noise at a single scale,highlight the inherent structural features of the image at other scales,help select more representative similar patch groups,and alleviate the core problems of scarce similar patches and insufficient similarity in high-noise scenarios.Experimental results demonstrate that the proposed MSGSR-Log model outperforms the state-of-the-art methods.展开更多
随着电网强度降低,并网逆变器与电网之间交互作用加强,极易产生振荡,危害系统的稳定运行。如何提高逆变器对弱电网的适应能力,成为目前研究热点。目前已有的研究中,通常是考虑锁相环对弱电网稳定性产生的负面影响,然而这种探讨仍偏向乐...随着电网强度降低,并网逆变器与电网之间交互作用加强,极易产生振荡,危害系统的稳定运行。如何提高逆变器对弱电网的适应能力,成为目前研究热点。目前已有的研究中,通常是考虑锁相环对弱电网稳定性产生的负面影响,然而这种探讨仍偏向乐观。实际工程中多种控制环节之间存在相互耦合,谐振点分布频段更广。对于跟网型逆变器,其控制环路通常包含锁相环、PI环、电网电压前馈以及谐振控制器。该文考虑多个控制环节相互耦合作用,基于“修改序列域”(modified sequence-domain,MSD)对逆变器进行全阶阻抗建模,并提出特征阻抗比判据(eigen impedance ratio criterion,EIRC)对系统进行稳定性分析。模型揭示了并网逆变器在中频段受电网电压前馈和谐振控制以及控制延时的综合影响存在振荡风险。最后通过优化谐振控制器结构,实现自反馈调节,使逆变器在不同强度电网下始终具有相位裕度,并在硬件在环仿真和整机平台验证了该方法的有效性。展开更多
基金supported by the National Natural Science Foundation of China(No.22077134)。
摘要new sesquiterpene-lactone,designated as neopentalenolactone D1(1),was isolated from the fermentation cultures of Streptomyces aureus SP-371,which is known for producing agricultural-bactericide aureonuclemycin.The chemical structure of compound 1 was determined to be a neopentapyrrole natural product with a 5/5/6 tricyclic skeleton and one amide functional group,by using spectroscopic techniques such as nuclear magnetic resonance(1D/2D NMR)and high-resolution mass spectrometry(HR-ESI-MS).Its structural information indicates that it is probably the shunt product of neopentalenolactone biosynthetic pathway.In antibacterial activity evaluations,compound 1 demonstrated no inhibitory effects against the tested strains including Escherichia coli(DH5a),Staphylococcus aureus,and Bacillus subtilis under the experimental conditions.
基金Supported by the National Natural Science Foundation of China (61701004)the Outstanding Young Talents Support Program of Anhui Province (gxyq2021178)。
摘要In the field of image denoising,the non-local self-similarity(NSS)prior has been widely validated.By exploiting the similar structural details within groups of similar patches to effectively extract redundant information,it significantly improves the accuracy and quality of image restoration.This method can well preserve textures and edges while removing noise.However,NSS-based methods have certain limitations.They usually process patch groups as a whole and neglect the differences among patches within a group.In addition,constructing similar patch groups using NSS is challenging for highly noisy images,suffering from problems such as scarce similar patches and low similarity.To address these issues,this paper proposes an image denoising model with multi-scale group sparse representation based on weighted log-sum penalty.Based on the original-scale image,a multi-scale image sequence is constructed via upsampling and downsampling operations,which not only generates a large number of similar image patches at each individual scale to expand the overall pool of patch candidates,but also excavates structurally correlated similar patches across different scales through a cross-scale patch matching strategy,thus effectively enhancing the inter-patch similarity.Especially for images with high noise intensity,original image patches are severely disturbed by noise,making it difficult to find a sufficient number of highly similar matching patches at a single scale.In contrast,multi-scale construction can weaken the concentrated impact of noise at a single scale,highlight the inherent structural features of the image at other scales,help select more representative similar patch groups,and alleviate the core problems of scarce similar patches and insufficient similarity in high-noise scenarios.Experimental results demonstrate that the proposed MSGSR-Log model outperforms the state-of-the-art methods.
摘要随着电网强度降低,并网逆变器与电网之间交互作用加强,极易产生振荡,危害系统的稳定运行。如何提高逆变器对弱电网的适应能力,成为目前研究热点。目前已有的研究中,通常是考虑锁相环对弱电网稳定性产生的负面影响,然而这种探讨仍偏向乐观。实际工程中多种控制环节之间存在相互耦合,谐振点分布频段更广。对于跟网型逆变器,其控制环路通常包含锁相环、PI环、电网电压前馈以及谐振控制器。该文考虑多个控制环节相互耦合作用,基于“修改序列域”(modified sequence-domain,MSD)对逆变器进行全阶阻抗建模,并提出特征阻抗比判据(eigen impedance ratio criterion,EIRC)对系统进行稳定性分析。模型揭示了并网逆变器在中频段受电网电压前馈和谐振控制以及控制延时的综合影响存在振荡风险。最后通过优化谐振控制器结构,实现自反馈调节,使逆变器在不同强度电网下始终具有相位裕度,并在硬件在环仿真和整机平台验证了该方法的有效性。