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Article ; Online: Incentive effect of tax preferences towards the technological innovation of enterprises--Based on China's GEM listed companies.

Liang Ding / Yunfeng Wu / Junxia Long

PLoS ONE, Vol 18, Iss 4, p e

2023 Volume 0282692

Abstract: The long R&D process, the high risk, and the externalities of technological innovation are challenges that enterprises have to meet when making decisions on R&D investment. Governments share this risk with enterprises through preferential tax policies. ... ...

Abstract	The long R&D process, the high risk, and the externalities of technological innovation are challenges that enterprises have to meet when making decisions on R&D investment. Governments share this risk with enterprises through preferential tax policies. We summarized China's preferential tax policies related to enterprises and R&D innovation, and used panel data of listed enterprises from 2013 to 2018 in the Growth Enterprises Market (GEM) of the Shenzhen Stock Exchange to explore the incentive effects of current tax policies on the R&D innovation of enterprises. Through empirical analysis, we found that tax incentives significantly motivate R&D innovation input and promote output. In addition, we found that the income tax incentives are greater than that of the circulation tax, since the profitability of enterprise has a positive correlation with R&D investment. Meanwhile, the size of the enterprise is negatively correlated with the intensity of R&D investment.
Keywords	Medicine ; R ; Science ; Q
Subject code	338
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows

Dong Xu / Jianing Liu / Yunfeng Wu / Chunning Ji

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 14

Abstract: Abstract The Immersed Boundary Method (IBM) has an advantage in simulating fluid–structure interaction, owning to its simplicity, intuitiveness, and ease of handling complex object boundaries. The interpolation function plays a vital role in IBM and it ... ...

Abstract	Abstract The Immersed Boundary Method (IBM) has an advantage in simulating fluid–structure interaction, owning to its simplicity, intuitiveness, and ease of handling complex object boundaries. The interpolation function plays a vital role in IBM and it is usually computationally intensive. For moving or deforming solids, the interpolation weights of all the immersed boundary points ought to be updated every time step, which takes quite a lot CPU time. Since the interpolation procedure within all uniform structured grids is highly repetitive and very similar, we propose a simple and generalized Discretized Immersed Boundary Method (DIBM), which significantly improves efficiency by discretizing the interpolation functions onto subgrid points within each control volume and reusing a predefined universal interpolation stencil. The accuracy and performance of DIBM are analyzed using both theoretical estimation and simulation tests. The results show speedup ratios of 30–40 or even higher using DIBM when compared with conventional IBM for typical moving boundary simulations like particle-laden flows, while the error is estimated to be under 1% and can be further decreased by using finer subgrid stencils. By balancing the performance and accuracy demands, DIBM provides an efficient alternative framework for handling moving boundaries in incompressible viscous flows.
Keywords	Medicine ; R ; Science ; Q
Subject code	518
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A multiplex reverse transcription PCR assay for simultaneous detection of six main RNA viruses in tomato plants

Liu, Huan / Kuan Wu / Wei Wu / Weili Mi / Xingan Hao / Yunfeng Wu

Journal of virological methods. 2019 Mar., v. 265

2019

Abstract: Tomato virus diseases occur all around the world, causing serious yield losses. To detect these viruses quickly and provide a basis for disease control, a multiplex reverse transcription polymerase chain reaction system was established for simultaneous ... ...

Abstract	Tomato virus diseases occur all around the world, causing serious yield losses. To detect these viruses quickly and provide a basis for disease control, a multiplex reverse transcription polymerase chain reaction system was established for simultaneous detection of Tobacco mosaic virus (TMV), Cucumber mosaic virus (CMV), Tomato spotted wilt virus (TSWV), Tomato chlorosis virus (ToCV), Potato virus Y (PVY) and Potato virus X (PVX) in tomato plants, with 6 pairs of specific primers being designed based on the coat protein (CP) genes of these viruses. Transcriptional elongation factor-1α (EF-1α) from tomato was added to the multiplex RT-PCR reaction system to prevent false negatives. The concentration of the primers, annealing temperature, annealing time, extension time and amplification cycles were optimized. Expected fragments of 159 bp (ToCV), 262 bp (PVY), 362 bp (EF-1α), 430 bp (TMV), 500 bp (TSWV), 600 bp (CMV) and 705 bp (PVX) were amplified by this multiplex RT-PCR system, and their origin was confirmed by DNA sequencing. This method will have a wide application in virus detection of field samples.
Keywords	Cucumber mosaic virus ; Potato virus X ; Potato virus Y ; Tobacco mosaic virus ; Tomato chlorosis virus ; Tomato spotted wilt virus ; coat proteins ; disease control ; genes ; nucleic acid annealing ; peptide elongation factors ; reverse transcriptase polymerase chain reaction ; sequence analysis ; temperature ; tomatoes ; transcription (genetics) ; viruses
Language	English
Dates of publication	2019-03
Size	p. 53-58.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	8013-5
ISSN	1879-0984 ; 0166-0934
ISSN (online)	1879-0984
ISSN	0166-0934
DOI	10.1016/j.jviromet.2018.12.011
Database	NAL-Catalogue (AGRICOLA)

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Article: Inhibitory effect of polysaccharide peptide (PSP) against Tobacco mosaic virus (TMV)

Zhao, Lei / Xingan Hao / Yunfeng Wu

International journal of biological macromolecules. 2015 Apr., v. 75

2015

Abstract: Polysaccharides are essential macromolecules present in all living organisms, and have many kinds of biological activities, such as anti-oxidation, hypoglycemic, enhancing immunity, anti-aging, anti-rheumatism, anti-cancer and so on. In this study, the ... ...

Abstract	Polysaccharides are essential macromolecules present in all living organisms, and have many kinds of biological activities, such as anti-oxidation, hypoglycemic, enhancing immunity, anti-aging, anti-rheumatism, anti-cancer and so on. In this study, the antiviral activity of polysaccharide peptide (PSP) was tested, compared with Ningnanmycin, and firstly found it has a stronger antiviral activity by using half-leaf method and leaf disk method. Subsequently, the mechanism of antiviral activity of PSP was preliminarily studied. As a result, its antiviral effect was better than the commercial agent Ningnanmycin, despite of protective effect, curative effect and inactivation effect. On the other hand, PSP as a commercial anti-cancer drug could easily and rapidly get in large quantities by liquid fermentation, which makes the industrialized production feasible. Also PSP is less toxic, easily biodegradable and ecofriendly. All the results are suggesting that PSP has potential as a pesticide to be used for the control of plant virus in the future.
Keywords	antineoplastic agents ; antiviral properties ; biodegradability ; fermentation ; immunity ; industrialization ; leaves ; pesticides ; polysaccharides ; protective effect ; Tobacco mosaic virus ; toxicity ; viruses
Language	English
Dates of publication	2015-04
Size	p. 474-478.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2015.01.058
Database	NAL-Catalogue (AGRICOLA)

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Article: Advances and prospects in biogenic substances against plant virus: A review

Zhao, Lei / Chaohong Feng / Kuan Wu / Wenbao Chen / Xingan Hao / Yujia Chen / Yunfeng Wu

Pesticide biochemistry and physiology. 2017 Jan., v. 135

2017

Abstract: Plant virus diseases, known as ‘plant cancer’, are the second largest plant diseases after plant fungal diseases, which have caused great damage to agricultural industry. Since now, the most direct and effective method for controlling viruses is ... ...

Abstract	Plant virus diseases, known as ‘plant cancer’, are the second largest plant diseases after plant fungal diseases, which have caused great damage to agricultural industry. Since now, the most direct and effective method for controlling viruses is chemotherapeutics, except for screening of anti-disease species. As the occurrence and harm of plant diseases intensify, production and consumption of pesticides have increased year by year, and greatly contributed to the fertility of agriculture, but also brought a series of problems, such as the increase of drug resistance of plant pathogens and the excessive pesticide residues. In recent years, biopesticide, as characterized by environmentally safe due to low residual, safe to non-target organism due to better specificity and not as susceptible to produce drug resistance due to diverse work ways, has gained more attention than ever before and exhibited great development potential. Now much progress has been made about researches on new biogenic anti-plant-virus substances. The types of active components include proteins, polysaccharides and small molecules (alkaloids, flavonoids, phenols, essential oils) from plants, proteins and polysaccharides from microorganisms, polysaccharides from algae and oligochitosan from animals. This study summarized the research advance of biogenic anti-plant-virus substances in recent years and put forward their further development in the future.
Keywords	agricultural industry ; algae ; alkaloids ; animals ; biopesticides ; chitosan ; drug resistance ; essential oils ; flavonoids ; fungal diseases of plants ; microorganisms ; neoplasms ; pesticide residues ; phenols ; plant pathogens ; proteins ; screening ; viruses
Language	English
Dates of publication	2017-01
Size	p. 15-26.
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	184819-7
ISSN	1095-9939 ; 0048-3583 ; 0048-3575
ISSN (online)	1095-9939
ISSN	0048-3583 ; 0048-3575
DOI	10.1016/j.pestbp.2016.07.003
Database	NAL-Catalogue (AGRICOLA)

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Article: Application of fatty acids as antiviral agents against tobacco mosaic virus

Zhao, Lei / He Yan / Kuan Wu / Xingan Hao / Yujia Chen / Yunfeng Wu

Pesticide biochemistry and physiology. 2017 June, v. 139

2017

Abstract: Numerous studies reported fatty acids (FAs) affecting basal resistance to bacterial and fungal pathogens in plants, but limited reports focused on antiviral agents. In this study, oleic acid was separated from cottonseed oil sludge by antiviral bioassay- ... ...

Abstract	Numerous studies reported fatty acids (FAs) affecting basal resistance to bacterial and fungal pathogens in plants, but limited reports focused on antiviral agents. In this study, oleic acid was separated from cottonseed oil sludge by antiviral bioassay-guided methods. Antiviral activity of FAs was compared with that of Ningnanmycin. Subsequently, effects of FAs on defense-related enzymes (PAL, POD) and defense-related genes (PR-1a, PR-5) were studied. FAs presented moderate antiviral activity, which is close to that of Ningnanmycin, and activities of PAL and POD were higher in oleic-acid-treated tobacco leaves than those inoculated with tobacco mosaic virus (TMV) and water-treated tobacco. In oleic-acid-treated tobacco, expression levels of PR-1a and PR-5 genes rapidly increased from days 1–3. All results showed that FAs can increase resistance against TMV, and related mechanism can be attributed to activated expressions of a number of defense-related genes, suggesting that FAs can potentially act as pesticides for integrated control of plant viruses in the future.
Keywords	antiviral agents ; antiviral properties ; cottonseed oil ; fungi ; genes ; leaves ; oleic acid ; pathogenesis-related proteins ; peroxidase ; pesticides ; plant viruses ; sludge ; tobacco ; Tobacco mosaic virus
Language	English
Dates of publication	2017-06
Size	p. 87-91.
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	184819-7
ISSN	1095-9939 ; 0048-3583 ; 0048-3575
ISSN (online)	1095-9939
ISSN	0048-3583 ; 0048-3575
DOI	10.1016/j.pestbp.2017.05.005
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Comparative genome analysis of wheat blue dwarf phytoplasma, an obligate pathogen that causes wheat blue dwarf disease in China.

Wang Chen / Yan Li / Qiang Wang / Nan Wang / Yunfeng Wu

PLoS ONE, Vol 9, Iss 5, p e

2014 Volume 96436

Abstract: Wheat blue dwarf (WBD) disease is an important disease that has caused heavy losses in wheat production in northwestern China. This disease is caused by WBD phytoplasma, which is transmitted by Psammotettix striatus. Until now, no genome information ... ...

Abstract	Wheat blue dwarf (WBD) disease is an important disease that has caused heavy losses in wheat production in northwestern China. This disease is caused by WBD phytoplasma, which is transmitted by Psammotettix striatus. Until now, no genome information about WBD phytoplasma has been published, seriously restricting research on this obligate pathogen. In this paper, we report a new sequencing and assembling strategy for phytoplasma genome projects. This strategy involves differential centrifugation, pulsed-field gel electrophoresis, whole genome amplification, shotgun sequencing, de novo assembly, screening of contigs from phytoplasma and the connection of phytoplasma contigs. Using this scheme, the WBD phytoplasma draft genome was obtained. It was comprised of six contigs with a total size of 611,462 bp, covering ∼94% of the chromosome. Five-hundred-twenty-five protein-coding genes, two operons for rRNA genes and 32 tRNA genes were identified. Comparative genome analyses between WBD phytoplasma and other phytoplasmas were subsequently carried out. The results showed that extensive arrangements and inversions existed among the WBD, OY-M and AY-WB phytoplasma genomes. Most protein-coding genes in WBD phytoplasma were found to be homologous to genes from other phytoplasmas; only 22 WBD-specific genes were identified. KEGG pathway analysis indicated that WBD phytoplasma had strongly reduced metabolic capabilities. However, 46 transporters were identified, which were involved with dipeptides/oligopeptides, spermidine/putrescine, cobalt and Mn/Zn transport, and so on. A total of 37 secreted proteins were encoded in the WBD phytoplasma chromosome and plasmids. Of these, three secreted proteins were similar to the reported phytoplasma virulence factors TENGU, SAP11 and SAP54. In addition, WBD phytoplasma possessed several proteins that were predicted to play a role in its adaptation to diverse environments. These results will provide clues for research on the pathogenic mechanisms of WBD phytoplasma and will also provide a ...
Keywords	Medicine ; R ; Science ; Q
Subject code	572
Language	English
Publishing date	2014-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Polysaccharide Peptide–Induced Virus Resistance Depends on Ca2+ Influx by Increasing the Salicylic Acid Content and Upregulating the Leucine-Rich Repeat Gene in Arabidopsis thaliana

Zhao, Lei / Chaohong Feng / Qaochun Wang / Wen Yang / Wenbao Chen / Yuanle Zhang / Yujia Chen / Yunfeng Wu

Molecular plant-microbe interactions. 2018 May, v. 31, no. 5

2018

Abstract: Plant viral diseases cause severe economic losses in agricultural production. The development of biosource-derived antiviral agents provides an alternative strategy to efficiently control plant viral diseases. We previously reported that the exogenous ... ...

Abstract	Plant viral diseases cause severe economic losses in agricultural production. The development of biosource-derived antiviral agents provides an alternative strategy to efficiently control plant viral diseases. We previously reported that the exogenous application of polysaccharide peptide (PSP) exerts significant inhibitive effects on Tobacco mosaic virus infection in Nicotiana tabacum. In this study, we studied in additional detail the mechanism by which PSP can induce virus resistance in Arabidopsis thaliana. We found that PSP significantly induced Ca2+ influx and increased the accumulation of hydrogen peroxide and salicylic acid (SA) in the A. thaliana cells. A gene with a toll interleukin 1 receptor-nucleotide binding site-leucine-rich repeat domain (LRR) was obtained by RNA sequencing in combination with the screening of the gene-deletion mutants of A. thaliana. The LRR gene was deleted, and the inductive response of A. thaliana to PSP was significantly attenuated after mutation. After the heterologous overexpression of the LRR gene in N. benthamiana, the SA content and PR1 gene expression in N. benthamiana were significantly increased. Through analyses of the LRR gene expression and the ability of A. thaliana to resist Cucumber mosaic virus following the treatments of PSP and PSP + ethyleneglycol-bis (beta-aminoethylether)-N,N’-tetraacetic acid, it was shown that PSP enhanced the virus resistance of A. thaliana by inducing Ca2+ influx and subsequently improving expression of the LRR gene, which further increased the SA content.
Keywords	antiviral agents ; Arabidopsis thaliana ; calcium ; Cucumber mosaic virus ; financial economics ; gene deletion ; gene expression regulation ; gene overexpression ; genes ; hydrogen peroxide ; interleukin-1 ; mutants ; Nicotiana tabacum ; plant viruses ; polysaccharides ; salicylic acid ; screening ; Tobacco mosaic virus ; viral diseases of plants ; viruses
Language	English
Dates of publication	2018-05
Size	p. 516-524.
Publishing place	Molecular Plant-Microbe Interactions
Document type	Article
ZDB-ID	743331-1
ISSN	1943-7706 ; 0894-0282
ISSN (online)	1943-7706
ISSN	0894-0282
DOI	10.1094/MPMI-10-17-0242-R
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Corrosion Resistance and Biocompatibility Assessment of a Biodegradable Hydrothermal-Coated Mg–Zn–Ca Alloy

Zheng Xi / Yunfeng Wu / Shouyang Xiang / Chu Sun / Yongxuan Wang / Haiming Yu / Yu Fu / Xintao Wang / Jinglong Yan / Dewei Zhao / Yaming Wang / Nan Zhang

ACS Omega, Vol 5, Iss 9, Pp 4548-

An in Vitro and in Vivo Study

2020 Volume 4557

Keywords	Chemistry ; QD1-999
Language	English
Publishing date	2020-02-01T00:00:00Z
Publisher	American Chemical Society
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Classification of Knee Joint Vibration Signals Using Bivariate Feature Distribution Estimation and Maximal Posterior Probability Decision Criterion

Fang Zheng / Shanshan Yang / Suxian Cai / Yunfeng Wu / Ning Xiang

Entropy, Vol 15, Iss 4, Pp 1375-

2013 Volume 1387

Abstract: Analysis of knee joint vibration or vibroarthrographic (VAG) signals using signal processing and machine learning algorithms possesses high potential for the noninvasive detection of articular cartilage degeneration, which may reduce unnecessary ... ...

Abstract	Analysis of knee joint vibration or vibroarthrographic (VAG) signals using signal processing and machine learning algorithms possesses high potential for the noninvasive detection of articular cartilage degeneration, which may reduce unnecessary exploratory surgery. Feature representation of knee joint VAG signals helps characterize the pathological condition of degenerative articular cartilages in the knee. This paper used the kernel-based probability density estimation method to model the distributions of the VAG signals recorded from healthy subjects and patients with knee joint disorders. The estimated densities of the VAG signals showed explicit distributions of the normal and abnormal signal groups, along with the corresponding contours in the bivariate feature space. The signal classifications were performed by using the Fisher’s linear discriminant analysis, support vector machine with polynomial kernels, and the maximal posterior probability decision criterion. The maximal posterior probability decision criterion was able to provide the total classification accuracy of 86.67% and the area (Az) of 0.9096 under the receiver operating characteristics curve, which were superior to the results obtained by either the Fisher’s linear discriminant analysis (accuracy: 81.33%, Az: 0.8564) or the support vector machine with polynomial kernels (accuracy: 81.33%, Az: 0.8533). Such results demonstrated the merits of the bivariate feature distribution estimation and the superiority of the maximal posterior probability decision criterion for analysis of knee joint VAG signals.
Keywords	knee joint vibration signals ; vibration arthrometry ; kernel density estimation ; linear discriminant analysis ; posterior probability ; support vector machine ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
Subject code	310
Language	English
Publishing date	2013-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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