Search results

1 – 3 of 3
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 17 October 2008

Zheng Kou, Yanhong Zhou and Xiaoli Qiang

The traditional method to distinguish the serotype of influenza A virus was based on the antigen reaction of HA and NA with their antibodies. The antibody of specific subtype…

337

Abstract

Purpose

The traditional method to distinguish the serotype of influenza A virus was based on the antigen reaction of HA and NA with their antibodies. The antibody of specific subtype virus was difficult to get and the reaction was not easy to be done. To be a complementation to the traditional classification methods based on the serological reaction, aims to present a novel method for viral classification.

Design/methodology/approach

The similarity values of all subtype HA genes in vector space were considered and classified using a probabilistic neural network (PNN). The PNN model was trained by the 132 viral sequences in the training set and the classification quality was examined using 28 viral sequences in the testing set.

Findings

A novel technique for the serotype classification of influenza A virus isolated from human was proposed in the paper. The system achieved 100 per cent accuracy with all serotypes of human influenza A virus.

Research limitations/implications

The time for the large‐scale calculations of the average similarity based on multisequence alignment is the main limitation.

Practical implications

This is a supplementation to the traditional virology research.

Originality/value

The novel classification method based on the similarity of viral nucleotide sequences and the PNN model would be useful for the epidemic supervision and prevention.

Details

Kybernetes, vol. 37 no. 9/10
Type: Research Article
ISSN: 0368-492X

Keywords

Access Restricted. View access options
Article
Publication date: 28 September 2012

Xiaoli Li, Qiang Wang, Xuejiao Sun, Xuerong Fan and Xue Han

The purpose of this paper is to derive a new method for the hydrophilic finishing of wool fabric.

665

Abstract

Purpose

The purpose of this paper is to derive a new method for the hydrophilic finishing of wool fabric.

Design/methodology/approach

A new biological catalyst, microbial transglutaminase (mTGase), was used to catalyze the grafting of ε‐poly‐L‐lysine (ε‐PLL) onto the wool fabric.

Findings

The K/S value, SEM morphology and DSC analysis proved that the grafting reaction occurred. The hydrophilic properties of the ε‐PLL‐grafted wool fabrics were studied. The results showed that the grafted ε‐PLL could increase the hydrophilicity, which was demonstrated in terms of the obvious shortening in the wetting time and the process of water absorption and moisture absorption. The grafted wool also achieved better antistatic property.

Research limitations/implications

Future work could be focused on the application of this biological method on other protein fabric which was designed to change the performance.

Originality/value

The biological approach is safe, eco‐friendly and effective relative to the conventional methods.

Details

International Journal of Clothing Science and Technology, vol. 24 no. 5
Type: Research Article
ISSN: 0955-6222

Keywords

Access Restricted. View access options
Article
Publication date: 30 November 2018

Xiaoli Wang, Xincheng Wang and Yu Huang

Though most construction workers in China possess minimal skillset, they are reluctant to attend vocational skill training sponsored by the government or enterprises. This paper…

450

Abstract

Purpose

Though most construction workers in China possess minimal skillset, they are reluctant to attend vocational skill training sponsored by the government or enterprises. This paper aims to examine their willingness to attend the training from workers’ individual perspectives.

Design/methodology/approach

The authors interviewed 492 construction workers on topics concerning their age, education, work tenure, technological level, daily wages, apprenticeship duration, apprentice channels and training experience; this information was then logistically analyzed to reveal if it influences construction workers’ willingness to attend training courses.

Findings

The results show that in a variety of possible influencing factors, technological level, apprenticeship duration and education are the most significant ones that affect construction workers’ willingness to attend vocational training. Technological level makes the greatest contribution to workers’ willingness to attend training, yet the effect of training experience and daily wages is minimal.

Practical implications

To achieve sustainability in construction labor management, it is important to shed light on what influences worker’s willingness to attend training programs and take some efficient steps to address these issues.

Originality/value

This paper provides a new insight into the workers’ willingness to attend vocational skill training programs in the Chinse construction industry and suggests some practical implications for professionals and policymakers. Furthermore, the findings could prove valuable to other countries or industries, especially those sharing similarities to the Chinese construction industry.

Details

Journal of Engineering, Design and Technology, vol. 17 no. 1
Type: Research Article
ISSN: 1726-0531

Keywords

1 – 3 of 3
Per page
102050