Development of the Private and State-owned Logistics Enterprises in China : case study in GREE and CHINATRANS.

The purpose of this thesis is to examine the current status and development of the private and state-owned Third-party Logistics (3PL) companies. In China, there are mainly two common kinds of ownerships, one is state ownership, and the other is private ownership. These two forms of ownerships have enormous influence in various industries. The state-owned company GREE and private company CHINATRANS are taken as the case study in this thesis. The management systems of these two companies are analyzed by interviewing their managers. Furthermore, an innovation assessment tool is used to examine the innovative performance for these two companies. The return on investment model is also used to compare on the financial problem. Based on the analysis of management, cost and innovation aspect in GREE and CHINATRANS, the pattern of different ownerships affecting 3PL companies is identified. The conclusions of this thesis are: The private Third-party Logistics companies have a more flexible management system than the state-owned Third-party Logistics companies. Moreover, the private Third-party Logistics companies have a good performance on cost management and human resource. The core-competitiveness for them shows in the grasp of the market. The state-owned Third-party Logistics companies have a strict management system; they have advantage of innovation management, especially for new technology development. Excellent service is their core competence. Nowadays, Chinese third-party logistics industry has a low ROI, but still has a large space for 3PL to improve. Through the case study of GREE and CHINATRANS, value-added services and low cost operation are effective approaches to increase ROI

The impact of education, law and family factorsinfluence of gender discrimination in China

Purpose: This paper is to investigate the impacts of education, law andfamily factors influence of the gender situation. And what factor hasmost impact to change the sex discrimination situation in China Design /method/approach: We did a survey at a Chinese university.In total, 96 student informants and 134 staff informants were surveyedin order to get the opinions of the gender discrimination. Finding: We find education, law and family factors all can influencethe opinion of gender situation. Conclusion: The relationship between education, family and lawshould be mutual promotion and mutual influence. But from thesurvey’s result, education has the largest influence on gender situation.The second one is family factor, and the law factor has lowest affect.The reason for these results is traditional family culture and the policyof government. Unbalanced policies and the culture of family, both ofthem lead to the differences of influence. Suggestion for future research: First, the research base only in auniversity, although the sample covers gender, education elements, thegeneralization of the conclusion is still limited due to the sample size.In the future, more informants should be covered to test the hypothesesproposed. Second, the authors only discussed education, law andfamily factors influence of the gender discrimination. Future studiesare encouraged to deeply explore what else factors can influencepeople’s opinions on gender discrimination. Contribution of the thesis: Owing the lack of empirical research onthe situation of gender discrimination in China, this thesis provides anempirical study on the factors influencing the gender discrimination.Our research results can help Chinese to develop better solution toreduce the gender discrimination. Paper type: Research pape

Quantitative evaluation methods of skin condition based on texture feature parameters

In order to quantitatively evaluate the improvement of the skin condition after using skin care products and beauty, a quantitative evaluation method for skin surface state and texture is presented, which is convenient, fast and non-destructive. Human skin images were collected by image sensors. Firstly, the median filter of the 3 × 3 window is used and then the location of the hairy pixels on the skin is accurately detected according to the gray mean value and color information. The bilinear interpolation is used to modify the gray value of the hairy pixels in order to eliminate the negative effect of noise and tiny hairs on the texture. After the above pretreatment, the gray level co-occurrence matrix (GLCM) is calculated. On the basis of this, the four characteristic parameters, including the second moment, contrast, entropy and correlation, and their mean value are calculated at 45 ° intervals. The quantitative evaluation model of skin texture based on GLCM is established, which can calculate the comprehensive parameters of skin condition. Experiments show that using this method evaluates the skin condition, both based on biochemical indicators of skin evaluation methods in line, but also fully consistent with the human visual experience. This method overcomes the shortcomings of the biochemical evaluation method of skin damage and long waiting time, also the subjectivity and fuzziness of the visual evaluation, which achieves the non-destructive, rapid and quantitative evaluation of skin condition. It can be used for health assessment or classification of the skin condition, also can quantitatively evaluate the subtle improvement of skin condition after using skin care products or stage beauty

Genotypes of Mycobacterium tuberculosis isolates circulating in Shaanxi Province, China.

ObjectivesThe prevalence of drug-resistant TB in Shaanxi Province is higher than other areas. This study was aimed to investigate the genetic diversity and epidemiology of Mycobacterium tuberculosis clinical strains in Shaanxi Province, China.MethodsFrom January to December 2016, a total of 298 Mycobacterium tuberculosis clinical isolates from smear-positive pulmonary tuberculosis patients were genotyped by Mcspoligotyping and 15-locus VNTR.ResultsWe found that the Beijing family strains was the most prominent family(81.54%, 243/298). Other family strains included T family(9.06%, 27/298), U family(0.67%, 2/298), LAM9 family(0.34%, 1/298) and Manu family(0.34%, 1/298). The rates of multidrug-resistant (MDR) M.Tuberculosis, age, type of case and education between Beijing and non-Beijing family strains were not statistically different, while the distribution in the three different regions among these was statistically significant. VNTR results showed that strains were classified into 280 genotypes, and 33 (11.07%) strains could be grouped into 14 clusters. 11 of the 15-VNTR loci were highly or moderately discriminative according to the Hunter-Gaston discriminatory index.ConclusionsWe concluded that the Beijing family genotype was the most prevalent genotype and 15-locus VNTR typing might be suitable for genotyping of M. tuberculosis in Shaanxi Province. There was less association between Beijing family genotypes and drug resistance in our study area