99 research outputs found

    Infinite series identities involving quadratic and cubic harmonic numbers

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    By means of the modified Abel lemma on summation by parts, we investigate infinite series involving quadratic and cubic harmonic numbers. Several infinite series identities are established for π 2 and ζ(3) as consequences

    Impact on survival of the number of lymph nodes resected in patients with lymph node-negative gastric cancer

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    BACKGROUND: Patients with lymph node-negative gastric cancer show a better overall survival rate than those who have a pathological lymph node-positive gastric cancer. But a large number of patients still develop recurrence. We aimed to explore the significant prognostic factors of lymph node-negative gastric cancer and determine how many lymph nodes should be removed. METHODS: A total of 3103 patients who underwent radical operation are identified from the Surveillance, Epidemiology, and End Results database. Standard survival methods and restricted multivariable Cox regression models were applied. RESULTS: The overall survival rate was significantly higher with an increasing number of negative lymph node resected. Among the 843 patients who had the exact T stage, the overall survival rate was significantly better in T3-4 group with more than 15 lymph nodes resected (P \u3c 0.001) but not in T1-2 stage patients (P = 0.44). A further 25 more lymph nodes resection did not show additional survival benefits. Multivariate analysis of patients demonstrated that age, depth of tumor invasion, and the number of lymph nodes resected were the significant and independent prognostic factors. CONCLUSIONS: A lymphadenectomy with more than 15 lymph nodes removal should be performed for T3-4 lymph node-negative gastric cancer. But the survival benefit of a lymphadenectomy with more than 25 lymph nodes removal is disputed. And the further treatment should refer to the prognostic indicators

    Social Capital, Socioeconomic Status and Self-efficacy

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    This study internalized social capital on the basis of traditional study of the influence of economic factors on self-efficacy, and studied the relationship among the family socio-economic status, social capital and self-efficacy. Based on the theoretical analysis, with first-hand data collection and using multiple regression models, the paper studied the intermediate effect of social capital in the relationship between the socioeconomic status and self-efficacy. We draw on the following conclusions: (1) The family socio-economic status as well as all its dimensions (father’s degree of education, mother’s degree of education, the total annual income of the family, father’s occupation, mother’s occupation) is significantly positively related to social capital and all the dimensions of its proxy variable (peer support, kinship support and general support of others); (2) There is a significant positive correlation between the family socio-economic status as well as all its dimensions and self-efficacy; the socio-economic status, with its dimensions, is the predictive variable of self-efficacy; (3) Social capital, with dimensions of its proxy variable, is positively correlated with self-efficacy and has predictive effect on self-efficacy (4) Social capital plays a significant intermediate role between socio-economic status and self-efficacy, and the mediating effect size is about 51.75%

    Agreeableness, Extraversion, Stressor and Physiological Stress Response

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    Based on the theoretical analysis, with first-hand data collection and using multiple regression models, this study explored the relationship between agreeableness, extraversion, stressor and stress response and figured out interactive effect of agreeableness, extraversion, and stressor on stress response. We draw on the following conclusions: (1) the interaction term of stressor (work) and agreeableness can negatively predict physiological stress response; (2) the interaction term of stressor (health) and agreeableness can negatively predict physiological stress response; (3) the interaction term of stressor (family) and agreeableness can negatively predict physiological stress response; (4) the interaction term of stressor (social) and agreeableness can negatively predict physiological stress response; (5) the interaction term of stressor (work) and extraversion can negatively predict physiological stress response; (6) the interaction term of stressor (health) and extraversion can negatively predict physiological stress response; (7) the interaction term of stressor (family) and extraversion can negatively predict physiological stress response; (8) the interaction term of stressor (social) and extraversion can negatively predict physiological stress response

    The Spillover Effect of Ecological Environment Protection on Poverty Reduction

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    This paper focuses on the spillover effect of the ecological poverty reduction between 30 provinces in China, applying Durbin Model and spatial correlation analysis to find out the interaction between different areas about the ecological indicators on poverty reduction. The result shows that there a high correlation relationship of poverty rate on 30 provinces in China, especially the indicators of Factory Station, Use of Chemical Fertilizers and the proportion of all Rural Population of one region has significant effects on poverty alleviation in surrounding areas, which indicates that for ecological environment view, poverty alleviation in one regions is not only influenced by its own ecological indicators, but also by which in its nearby areas, indicating the ecological poverty alleviation has a spillover effect in China

    Study of Comprehensive Evaluation of Poverty Reduction Effect for Chinese Poverty-Stricken Areas-Based on the Data of Chinese 14 Contiguous Poor Areas

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    China has achieved significant achievements on poverty reduction effect since 1978, two hundred fifty million people have get rid of poverty. While with the relative poverty has become increasingly prominent, there are more dimensions which influence the poverty reduction effect. In order to make a comprehensive evaluation on poverty reduction effect for Chinese poverty-stricken areas, this paper presents a dynamic evaluation model based on the gray correlation method to measuring multidimensional poverty reduction effect by selecting the data of Chinese 14 contiguous poor areas. According to analyzing from three evaluation situations of current development, growth and comprehensive evaluation, the result shows that Desertification Area of Yunnan, Guangxi and Guizhou all have high rankings in comprehensive evaluation, current development evaluation and growth evaluation. While Qinba Mountain Area, Wuling Mountain Area and Dabie Mountain Area are ranked higher in current development evaluation than in growth evaluation, which indicates that these areas will have more difficulties in poverty reduction in the future. On the contrary, Tibet Area, Tree Districts in South Xinjiang and Daxing'anling Mountain Area are ranked lower in current development than in growth evaluation, which reflects that there are much more potential in poverty reduction in these areas

    The Influence of Teamwork on the Performance in International Joint Venture

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    This paper makes an empirical study on whether the influence of teamwork on IJV performance is relatively positive or negative. Aiming to make a more accurate and comparative analysis, the research utilizes the method of questionnaire survey among three kinds of companies which are all located in China, which are local companies、Sino joint ventures and foreign companies. Based on several dimensions which make significant influence in team work, this paper uses factor analysis and correlation analysis by SPSS to arrange the data gaining from the questionnaire survey. By comparing the result of IJV with the other two kinds of companies, the thesis will propose the final conclusion

    The Research on Cultural and Creative industries Cluster Development Based on Nash Equilibrium

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    Cultural and creative industry is the second largest pillar industry of the tertiary industry, with the characteristics of innovative, high value and strong correlation relationship. The development of industrial cluster is helpful to cultural communication and information transfer, so it can enhance the competitiveness of the creative industry. The key problems need to be solved are the development condition and development strategy of creative industry cluster. This paper builds a mathematical model of two areas and two enterprises to study how can the effect of location factor and aggregation influence the development of cultural and creative industries, and the result shows a series of optimal development forms of the cultural and creative industry under different conditions. Finally four piece of recommendations to promote the development of creative industry clusters have been put forward

    Study of Financial Literacy and Interpersonal Influence on Self-Evaluation Bias-An Empirical Analysis with Chinese Sample

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    Based on the theoretical analysis, with first-hand data collection and using multiple regression models, this study explored the relationship between financial literacy, interpersonal influence and self-evaluation bias and figured out interactive effect of financial literacy, interpersonal influence on self-evaluation bias. We draw on the following conclusions: (1) Three financial literacy factors (sophisticated financial literacy, basic financial literacy and numeracy) entered into the regression equation on self-evaluation bias, with a predictive power of 14.8%. (2) The interaction term of financial literacy and coworkers/classmates’ influence can negatively predict self-evaluation bias. (3) The interaction term of financial literacy and family members’ influence can negatively predict self-evaluation bias

    Study of Risk Preference, Investment Experience and Interpersonal Influence-An Empirical Analysis with Chinese Sample

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    This study internalized investment experience on the basis of study of the influence of interpersonal influence on risk preference, and studied the relationship among the interpersonal influence, investment experience and risk preference. Based on the theoretical analysis, with first-hand data collection and using multiple regression models, the paper studied the intermediate effect of investment experience in the relationship between the interpersonal influence and risk preference. We draw on the following conclusions: ① Investment experience plays a significant intermediate role between friends’ influence and risk preference, and the mediating effect size is about 57.61%. ② Investment experience is a full intermediate variable between family’s influence and risk preference. ⑱ Investment experience plays a significant intermediate role between coworkers/classmates’ influence and risk preference, and the mediating effect size is about 55.09%
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