The signs of the electric field markers in Figs.2 and 4 of the paper[Chin.Phys.B 32104211(2023)]have been corrected.These modifications do not affect the results derived in the paper.
The Eq.(6)about the time correlation function of the chaotic field model is corrected,along with the corresponding statement.The enlargement factors of ρ_(33,B) and ρ_(ion,B) in the legends of Figs.2(b),2(c)and 2(d)...The Eq.(6)about the time correlation function of the chaotic field model is corrected,along with the corresponding statement.The enlargement factors of ρ_(33,B) and ρ_(ion,B) in the legends of Figs.2(b),2(c)and 2(d)are corrected.These corrections do not affect the conclusions of the work[Chin.Phys.B 31063203(2022)].展开更多
The author would like to inform the readers that the correct form of title ＂Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology＂ , content in ab-stract ＂The computa...The author would like to inform the readers that the correct form of title ＂Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology＂ , content in ab-stract ＂The computational approaches like remote sensing, geographic information system （GIS） and bioinformatics are the key re-sources for the detection and distribution of vectors, patterns, ecologi- cal and environmental factors and genomic and proteomic analysis.＂, and keyword ＂geographical bioinformatics systems （GIS）＂ should be read as follows： title ＂Role of remote sensing, geographical bioinformation system and bioinformatics in kala-azar epidemiology＂, content in abstract ＂The com-putational approaches like remote sensing, geographical information system （GIS） and bioinformat-ics are the key re-sources for the detection and distribution of vectors, patterns, ecological and envi-ronmental factors and genomic and proteomic analysis.＂, and keyword ＂geographical bioinformation system （GIS） ＂.展开更多
During the entry of specimen data from the paper by O＇Shea et al. （2015） into the database at the National Museum of Natural History, Smithsonian Institution （USNM）, one of us （KAT） realized that several errors...During the entry of specimen data from the paper by O＇Shea et al. （2015） into the database at the National Museum of Natural History, Smithsonian Institution （USNM）, one of us （KAT） realized that several errors existed, likely stemming from inverted specimen numbers, typos, or inadvertently skipping lines while transferring information from lines in a spreadsheet. We here present the corrected entries, listed in the same taxon order as in the original paper.展开更多
The authors regret that in the paper of Baldovino et al.(2019),published in Journal of Rock Mechanics and Geotechnical Engineering(JRMGE),Eq.(2)must be corrected.Eq.(2)in the original paper describes a formula to calc...The authors regret that in the paper of Baldovino et al.(2019),published in Journal of Rock Mechanics and Geotechnical Engineering(JRMGE),Eq.(2)must be corrected.Eq.(2)in the original paper describes a formula to calculate the unconfined compressive strength(q_u).But Authors wrote it as if it were the formula for calculating the split tensile strength(qt).To amend this error,Eq.(1)and Eq.(2)are the correct expressions for q_u and q_t measurements,respectively.展开更多
Editorial Office Corrections are needed for the following errors that appeared in Issue 1, Volume 14 (2008) of the journal. 1) In Line 5 from the bottom of the left column in the second paragraph, p.18, the superscrip...Editorial Office Corrections are needed for the following errors that appeared in Issue 1, Volume 14 (2008) of the journal. 1) In Line 5 from the bottom of the left column in the second paragraph, p.18, the superscript "[3]" should be changed to "[6]". 2) In Line 7 from the bottom of the left column, p.49, a superscript "[4]" should be added after "separation".展开更多
In recent years,exploring the relationship between community structure and node centrality in complex networks has gained significant attention from researchers,given its fundamental theoretical significance and pract...In recent years,exploring the relationship between community structure and node centrality in complex networks has gained significant attention from researchers,given its fundamental theoretical significance and practical implications.To address the impact of network communities on target nodes and effectively identify highly influential nodes with strong propagation capabilities,this paper proposes a novel influential spreaders identification algorithm based on density entropy and community structure(DECS).The proposed method initially integrates a community detection algorithm to obtain the community partition results of the networks.It then comprehensively considers the internal and external density entropies and degree centrality of the target node to evaluate its influence.Experimental validation is conducted on eight networks of varying sizes through susceptible–infected–recovered(SIR)propagation experiments and network static attack experiments.The experimental results demonstrate that the proposed method outperforms five other node centrality methods under the same comparative conditions,particularly in terms of information spreading capability,thereby enhancing the accurate identification of critical nodes in networks.展开更多
The authors regret that there was an incorrect citation in the Table 1 of the article ＂Nanopore-based Fourth-generation DNA Sequencing Technology＂, which was published in the journal Genomics, Proteomics ＆ Bioinfor...The authors regret that there was an incorrect citation in the Table 1 of the article ＂Nanopore-based Fourth-generation DNA Sequencing Technology＂, which was published in the journal Genomics, Proteomics ＆ Bioinformatics, Issue 1, 2015. In the table, the image in the 4th row originally appeared in the article ＂Nanopore-based sequence-specific detection of duplex DNA for geno- mic profiling＂ published by Nano Letters in 2010. Therefore, Ref. [8], which was associated with the image in the current Table l, should be replaced by the reference： Singer A, Wanunu M, Morrison W, Kuhn H, Frank-Kamenetskii M, Meller A. Nanopore- based sequence specific detection of duplex DNA for genomic profiling. Nano Lett 2010; 10：738-42.＂ The copy right permission of this article has been obtained. The authors would like to apologize for any inconvenience caused.展开更多
The authors regret that there were typos in the online version of Figure 4 published in Issue 1,2015.In the figure legend boxes of panels F and G,‘‘Ni’’should be corrected to‘‘N’’for the labeling of the green ...The authors regret that there were typos in the online version of Figure 4 published in Issue 1,2015.In the figure legend boxes of panels F and G,‘‘Ni’’should be corrected to‘‘N’’for the labeling of the green curves.The figure in the printed version has been corrected.The correct Figure 4 is shown below.The authors would like to apologize for any inconvenience caused.展开更多
文摘The signs of the electric field markers in Figs.2 and 4 of the paper[Chin.Phys.B 32104211(2023)]have been corrected.These modifications do not affect the results derived in the paper.
文摘The Eq.(6)about the time correlation function of the chaotic field model is corrected,along with the corresponding statement.The enlargement factors of ρ_(33,B) and ρ_(ion,B) in the legends of Figs.2(b),2(c)and 2(d)are corrected.These corrections do not affect the conclusions of the work[Chin.Phys.B 31063203(2022)].
文摘The author would like to inform the readers that the correct form of title ＂Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology＂ , content in ab-stract ＂The computational approaches like remote sensing, geographic information system （GIS） and bioinformatics are the key re-sources for the detection and distribution of vectors, patterns, ecologi- cal and environmental factors and genomic and proteomic analysis.＂, and keyword ＂geographical bioinformatics systems （GIS）＂ should be read as follows： title ＂Role of remote sensing, geographical bioinformation system and bioinformatics in kala-azar epidemiology＂, content in abstract ＂The com-putational approaches like remote sensing, geographical information system （GIS） and bioinformat-ics are the key re-sources for the detection and distribution of vectors, patterns, ecological and envi-ronmental factors and genomic and proteomic analysis.＂, and keyword ＂geographical bioinformation system （GIS） ＂.
文摘During the entry of specimen data from the paper by O＇Shea et al. （2015） into the database at the National Museum of Natural History, Smithsonian Institution （USNM）, one of us （KAT） realized that several errors existed, likely stemming from inverted specimen numbers, typos, or inadvertently skipping lines while transferring information from lines in a spreadsheet. We here present the corrected entries, listed in the same taxon order as in the original paper.
文摘The authors regret that in the paper of Baldovino et al.(2019),published in Journal of Rock Mechanics and Geotechnical Engineering(JRMGE),Eq.(2)must be corrected.Eq.(2)in the original paper describes a formula to calculate the unconfined compressive strength(q_u).But Authors wrote it as if it were the formula for calculating the split tensile strength(qt).To amend this error,Eq.(1)and Eq.(2)are the correct expressions for q_u and q_t measurements,respectively.
文摘Editorial Office Corrections are needed for the following errors that appeared in Issue 1, Volume 14 (2008) of the journal. 1) In Line 5 from the bottom of the left column in the second paragraph, p.18, the superscript "[3]" should be changed to "[6]". 2) In Line 7 from the bottom of the left column, p.49, a superscript "[4]" should be added after "separation".
基金Project supported by the National Natural Science Foundation of China(Grant No.61803264)。
文摘In recent years,exploring the relationship between community structure and node centrality in complex networks has gained significant attention from researchers,given its fundamental theoretical significance and practical implications.To address the impact of network communities on target nodes and effectively identify highly influential nodes with strong propagation capabilities,this paper proposes a novel influential spreaders identification algorithm based on density entropy and community structure(DECS).The proposed method initially integrates a community detection algorithm to obtain the community partition results of the networks.It then comprehensively considers the internal and external density entropies and degree centrality of the target node to evaluate its influence.Experimental validation is conducted on eight networks of varying sizes through susceptible–infected–recovered(SIR)propagation experiments and network static attack experiments.The experimental results demonstrate that the proposed method outperforms five other node centrality methods under the same comparative conditions,particularly in terms of information spreading capability,thereby enhancing the accurate identification of critical nodes in networks.
文摘The authors regret that there was an incorrect citation in the Table 1 of the article ＂Nanopore-based Fourth-generation DNA Sequencing Technology＂, which was published in the journal Genomics, Proteomics ＆ Bioinformatics, Issue 1, 2015. In the table, the image in the 4th row originally appeared in the article ＂Nanopore-based sequence-specific detection of duplex DNA for geno- mic profiling＂ published by Nano Letters in 2010. Therefore, Ref. [8], which was associated with the image in the current Table l, should be replaced by the reference： Singer A, Wanunu M, Morrison W, Kuhn H, Frank-Kamenetskii M, Meller A. Nanopore- based sequence specific detection of duplex DNA for genomic profiling. Nano Lett 2010; 10：738-42.＂ The copy right permission of this article has been obtained. The authors would like to apologize for any inconvenience caused.
文摘The authors regret that there were typos in the online version of Figure 4 published in Issue 1,2015.In the figure legend boxes of panels F and G,‘‘Ni’’should be corrected to‘‘N’’for the labeling of the green curves.The figure in the printed version has been corrected.The correct Figure 4 is shown below.The authors would like to apologize for any inconvenience caused.
