Model Design and Implementation of Enterprise Credit Information Based On Data Mining

Smart city construction emphasizes building an effective whole social credit system, promoting the construction of government integrity, business integrity, social integrity and public confidence in the judiciary. For credit risk has become an important assessment. Meanwhile, administration credit system is one of three major data. It proposes unified credit discipline and warning regulatory purposes, led by the government and its main functions, taken governmental data as the main basis. Accordingly, the paper constructs Corporate Dishonest Credit Executed (CDCE) Risk Assessment Model, based on governmental data. The model uses a set of urban enterprise data, selecting the explanatory variables from five aspects, administrative punishment, innovation, credit information, credit situation, and social responsibility, to screen CDCE Logit regression, to filter out and find out those variables which are significantly predicted effects for CDCE risk. And then construct a Logit regression model with the above selected variables. The experimental results and comparison of practical applications in China, we found that the model promises to higher business risk identification accuracy for CDCE. The model has a higher applied value and developmental prospects

Analyzing the Distribution and Trends of Research in Double Top-University Construction in China: A Knowledge Mapping Analysis of CSSCI Literature

This research study, titled "Analysis of Double Top-University Construction in Domestic Academia: A CSSCI Literature Review (2016-2019) Using CiteSpace," provides an analysis of relevant literature on Double Top-University construction in China. The study utilizes the CiteSpace visual tool to examine the distribution characteristics of Double Top-University Construction in China. It is found that The authors, institutions, journals, and focus themes related to Double Top-University construction were remain the key component of research in recent years. Challenges and potential problems exist in the development of China's "double first class" initiative, necessitating greater scholarly attention. Specifically, efforts are required to strengthen the connection between academic research and policy implementation, conduct further research on international experiences and emerging issues, and improve interdisciplinary collaboration among related fields. Given the interdisciplinary nature and complexity of this initiative, effective coordination and integration across disciplines are essential to meet long-term strategic objectives. The findings of the analysis provide valuable insights that can guide and enrich future investigations towards the construction of Double Top-Universities

Pre-IdentifyNet: An Improved Neural Network for Image Recognition

With the rise and development of artificial intelligence, image recognition and classification technology has received more and more attention as an important branch of its research field. Among them, the introduction of deep learning networks and the construction of neural network structures not only avoid a lot of the tedious work of manual extraction, but also improve the accuracy of image recognition. Convolutional neural networks have many advantages that conventional neural networks do not have. Therefore, image classification systems based on convolutional neural networks emerge in endlessly, but there is still much room for improvement in terms of recognition accuracy and recognition speed. Based on this, this paper proposes an improved deep convolutional neural network to improve the accuracy of the network by changing a series of parameters such as the number of channels of the convolution layer, the size of the convolution kernel, the learning rate, the number of iterations, and the size of the small batch with speed. In this paper, three data sets were selected, namely sewage, animals and the Simpson Family. Comparing the improved convolutional neural network network with the existing SqueezeNet and GoogleNet. It is found that the accuracy of the network is maintained while maintaining a similar speed. Both F1-score and F1-score have been improved with a higher recognition rate and better recognition effect in image recognition classification

Extending access to essential services against constraints: the three-tier health service delivery system in rural China (1949-1980).

BACKGROUND: China has made remarkable progress in scaling up essential services during the last six decades, making health care increasingly available in rural areas. This was partly achieved through the building of a three-tier health system in the 1950s, established as a linked network with health service facilities at county, township and village level, to extend services to the whole population. METHODS: We developed a Theory of Change to chart the policy context, contents and mechanisms that may have facilitated the establishment of the three-tier health service delivery system in rural China. We systematically synthesized the best available evidence on how China achieved universal access to essential services in resource-scarce rural settings, with a particular emphasis on the experiences learned before the 1980s, when the country suffered a particularly acute lack of resources. RESULTS: The search identified only three peered-reviewed articles that fit our criteria for scientific rigor. We therefore drew extensively on government policy documents, and triangulated them with other publications and key informant interviews. We found that China's three-tier health service delivery system was established in response to acute health challenges, including high fertility and mortality rates. Health system resources were extremely low in view of the needs and insufficient to extend access to even basic care. With strong political commitment to rural health and a "health-for-all" policy vision underlying implementation, a three-tier health service delivery model connecting villages, townships and counties was quickly established. We identified several factors that contributed to the success of the three-tier system in China: a realistic health human resource development strategy, use of mass campaigns as a vehicle to increase demand, an innovative financing mechanisms, public-private partnership models in the early stages of scale up, and an integrated approach to service delivery. An implementation process involving gradual adaptation and incorporation of the lessons learnt was also essential. CONCLUSIONS: China's 60 year experience in establishing a de-professionalized, community-based, health service delivery model that is economically feasible, institutionally and culturally appropriate mechanism can be useful to other low- and middle-income countries (LMICs) seeking to extend essential services. Lessons can be drawn from both reform content and from its implementation pathway, identifying the political, institutional and contextual factors shaping the three-tier delivery model over time

Health literacy and ethnic disparities in health-related quality of life among rural women: results from a Chinese poor minority area

Background: We examined the relationship between health literacy (HL) and health-related quality of life (HRQoL) as well as relationship differentials by ethnicity among rural women from a Chinese poor minority area. Methods: We conducted in-person interviews with 913 rural women aged 23 - 57 (57.5% Hui minorities/42.5% Han ethnicity) enrolled in the Ningxia Women Health Project, gathering data on EQ-5D, self-designed HL, socio-demographic characteristics, and chronic diseases. The extent of impairments in the five dimensions of the EQ-5D was used to measure HRQoL. Factor analysis yielded a single HL factor, which was used as a dichotomous variable in multivariate log-binomial regression models that examined the adjusted association of HL with HRQoL. Results: Nearly half of the women had no formal education. The most prevalent impairments were pain/discomfort and anxiety/depression (42.42% and 32.09%, respectively). The Hui minorities had 1.65 times higher rates of low HL (defined as less than mean of the factor score for HL) and 1.22 and 1.25 times for pain/discomfort and anxiety/depression impairments, respectively. Low HL was associated with poor HRQoL, with a 23% increase in the prevalence of pain/discomfort impairments after adjusting for socio-demographics. This association was significant in the Hui group (PR=1.30, 95% CI=1.06-1.58) but not for the Han group (PR=0.99, 95% CI=0.76-1.30). HL-stratified analysis revealed modification for ethnic disparities in HRQoL; for pain/discomfort impairments, high HL-PR=0.88 (95% CI=0.71-1.08), low HL-PR=1.24 (95% CI = 1.01-1.52); for anxiety/depression impairments, high HL-PR=0.98 (95% CI=0.73-1.32), low HL-PR=1.44 (95% CI = 1.05-1.98). Conclusions: Low HL is associated with poor HRQoL across the entire sample and the association may be modified by ethnicity. Similarly, ethnic disparities in HRQoL may be modified by HL, larger in low HL group. Health services should address HL in vulnerable minority women to improve their HRQoL.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000324526700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Health Care Sciences & ServicesHealth Policy & ServicesSCI(E)SSCI12ARTICLEnull1

An analysis of farmers' perception of the new cooperative medical system in Liaoning Province, China

<p>Abstract</p> <p>Background</p> <p>Since 2003, the number of pilot areas of the New Rural Cooperative Medical System (NRCMS) has increased in rural China. And the major efforts have been concentrated on the enrollment of prospective members. In this study, we examined the satisfaction of the rural residents with the NRCMS as well as factors affecting their attitudes towards the NRCMS.</p> <p>Methods</p> <p>The data for this study were collected from a survey involving twenty counties in Liaoning Province. Interviews and focus groups were conducted between 10^thJanuary and 20^thAugust 2008. A total of 2,780 people aged 18-72 were randomly selected and interviewed. Data were evaluated by nonparametric tests and ordinal regression models.</p> <p>Results</p> <p>71.6% of the study subjects were satisfied with the NRCMS. Single factor analysis showed that attitudes towards the NRCMS were influenced by gender, age, marital status, and self-rated health status. In the ordinal regression analysis, gender, age, and self-rated health status affect satisfaction (P < 0.05).</p> <p>Conclusions</p> <p>We found that a considerable proportion of farmers were satisfied with the NRCMS. Gender, age, and self-rated health status had significant effects on farmers' attitudes towards the NRCMS. The Chinese Central Government attempted to adopt active measures in the future to continuously improve the NRCMS, including initiating educational programs, building new medical facilities and increasing financial investment.</p