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Search Results: 1 - 10 of 14399 matches for " Haiying Jia "
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Risk factors for myopia in Inner Mongolia medical students in China  [PDF]
Yanyan Wu, He Yi, Wenzhong Liu, Haiying Jia, Yuki Eshita, Shubi Wang, Peng Qin, Juan Sun
Open Journal of Epidemiology (OJEpi) , 2012, DOI: 10.4236/ojepi.2012.24013
Abstract: Objective: The aim of the study was to investigate myopia and related factors in Inner Mongolia Medical Students, China. Methods: The survey employed a self-administered questionnaire. All medical students from the Inner Mongolia Medical University campus and those living and learning on campus were eligible. The questionnaire consisted of three sections: students’ basic information, attitude on myopia behavior, and myopia status of students. 6047 medical students completed the questionnaire. Results: A total of 6040 (90.5%) students aged 16 to 28 years (mean 21 ± 1.5 years) completed the questionnaire, of which 1772 (29.3%) were male and 4268 (70.6%) were female. The Mongolia of medical students had the lowest rate (64.3%) of myopia. The prevalence of myopia in Han nationality was highest (72.8%). Myopia occurred more frequently among students living in the city than in the rural. 76.4% urban and 66.6% rural students had myopia (p < 0.001). For myopia students it was established that 85.5% had begun to wear spectacles in middle school. Conclusion: A high myopia prevalence was demonstrated among medical students in the Inner Mongolia area of China. Our study’s findings could help health care professionals develop targeted myopia control policies for the population of students in Inner Mongolia of China and ensure the policies are more rational, useful, and effective.
A Study on the Evolution of Mechanism of Infectious Disease Analysis Model of Event Using Micro-Blog Platform  [PDF]
Haiying Ma
Social Networking (SN) , 2015, DOI: 10.4236/sn.2015.43011
Abstract: After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group events to upgrade and expand the scope of harm. It is difficult to deal. So public opinion control is very important. In this paper, we establish an influence model for spreading of public opinion based on SIR model. Through the political analysis, this paper finds that the network group events will subside, but the influence scope, time and ability of event cannot be ignored. As a result of this study, the corresponding strategies are put forward in this paper.
Research of Evolution Mechanism of Network Group Event Based on Grounded Theory under Micro-Blog Platform  [PDF]
Haiying Ma
Journal of Service Science and Management (JSSM) , 2015, DOI: 10.4236/jssm.2015.85069
Abstract: At this stage, China society in conflict-prone period, the network group events developed rapidly. Network group events had a significant impact on society. The trend which the online group event evolved into the offline group incidents is becoming evident. In this paper, we used grounded theory to study the evolution and the development process of network group events under the micro-blog platform. We present an evolution mechanism model of network group event under micro-blog platform and find the formation mechanism of the network of public opinion, intrinsic motivation and the evolution of the network group events.
A Study on Customer Segmentation for E-Commerce Using the Generalized Association Rules and Decision Tree  [PDF]
Haiying Ma
American Journal of Industrial and Business Management (AJIBM) , 2015, DOI: 10.4236/ajibm.2015.512078
Abstract: With the rapid development of e-commerce, e-commerce is becoming more and more competitive. How to improve customer loyalty, attract more new customers, and expand the market effectively, it is very important for the e-commerce enterprise. In this paper, a comprehensive model is proposed, which is based on generalized association rules and decision tree technology. The model is used for customer segmentation of e-commerce website. It can help e-commerce companies understand customers, support decision-making, so as to provide customers with more targeted services.
Research on Network Group Event Recognition Based on Neural Network  [PDF]
Haiying Ma
Open Journal of Social Sciences (JSS) , 2016, DOI: 10.4236/jss.2016.412008
Abstract: Sina Weibo is one of China’s most popular SNS platforms, which has a large number of user groups. Nowadays, the public opinion on Sina Weibo has great influence and significantly affects the social reality. This paper defines the network group events from aspects of the nature of the incident and influence and establishes a neural network of pattern recognition model that is used to fit the model. The model can recognize the network group events through continuous three days’ various topics growth rate. By programing a crawler, we get the data of 23 hot events on Sina Weibo from 2011 to 2015 for neural network training. The training results of pattern recognition model show that the accuracy rate of the judgment of the Internet Group events and the non-network group events is 72.7% and 75% respectively. The overall accuracy was 73.9%.
Effects of Endogenous PPAR Agonist Nitro-Oleic Acid on Metabolic Syndrome in Obese Zucker Rats
Haiping Wang,Haiying Liu,Zhanjun Jia,Guangju Guan,Tianxin Yang
PPAR Research , 2010, DOI: 10.1155/2010/601562
Abstract: Nitroalkene derivatives of nitro-oleic acid (OA- ) are endogenous lipid products with novel signaling properties, particularly the activation of PPARs. The goal of this proposal was to examine the therapeutic potential of this OA- in treatment of obesity and obesity-related conditions in obese Zucker rats. The animals were randomly divided to receive OA- , oleic acid (OA), both at 7.5? /kg/d, or vehicle ethanol via osmotic mini-pumps for 2 weeks. Following OA- treatment, food intake was decreased as early as the first day and this effect appeared to persist throughout the experimental period. At day 14, body weight gain was significantly reduced by OA- treatment. This treatment significantly reduced plasma triglyceride and almost normalized plasma free fatty acid and significantly increased plasma high-density lipid (HDL). The plasma TBARS and proteinuria were paralelly decreased. In contrast, none of these parameters were affected by OA treatment. After 14 days of OA- treatment, hematocrit, a surrogate of fluid retention associated with PPAR agonists, remained unchanged. Together, these data demonstrated that OA- may offer an effective and safe therapeutic intervention for obesity and obesity-related conditions. 1. Introduction The prevalence of overweight and obesity has dramatically increased during the past two decades. According to results of recent National Health and Nutrition Examination Survey (NHANES), 66.3% of adults in the United States are overweight or obese defined as a body mass index (BMI) of 25 or greater. Of these, 32.2% are obese defined as a BMI of 30 or greater [1]. The World Health Organization has estimated that worldwide, over one billion adults are overweight, with at least 300 million of them being obese [2]. Obesity is associated with a variety of chronic diseases, including endocrine disorders including metabolic syndrome, type 2 diabetes, and dislipidemia; cardiovascular disease including hypertension, congestive cardiomyopathy, stroke, and coronary heart disease; respiratory disorders including dyspnea and obstructive sleep apnea; depression, sleep disorders, musculoskeletal disorders, and gallbladder disease. Life style modification including exercise and calorie restriction remains the cornerstone of anti-obesity therapy but the long term success rate is low. In recent years, pharmacotherapy of obesity has received much attention. Recently, nitrated free fatty acids (NO2-FA), notably nitroalkene derivatives of linoleic acid (nitrolinoleic acid, LNO2) and oleic acid (OA-NO2) are found to be endogenous molecules with
Role of Tat-Mediated PDZ Peptide Delivery in Pain Therapy  [PDF]
Haiying Wu, Feng Tao
Journal of Biomaterials and Nanobiotechnology (JBNB) , 2011, DOI: 10.4236/jbnb.2011.225071
Abstract: Delivery of therapeutic peptides or proteins into tissues is severely limited by the size and biochemical properties of the molecules. Protein transduction domain (PTD)-mediated cargo transduction represents a novel and promising strategy to deliver biologically active peptides in vivo. The first PTD was identified from the HIV-1 transactivating transcriptional activator protein Tat in 1988. Since then, other PTDs have also been identified, including the third α-helix of the antennapedia homeotic transcription factor and synthetic peptide carriers. However, Tat PTD (amino acids 47 - 57) has shown markedly better ability for intracellular delivery than other PTDs. It has been demonstrated that fusion peptides containing the Tat PTD enter the central nervous system after systemic administration. Our previous study has shown that i.p. injected Tat-PSD-95 PDZ2 expresses in the central nervous system and significantly disrupts PDZ domain-mediated protein interactions between PSD-95 and N-methyl-D-aspartate receptor subunit NR2A/2B, thereby alleviating chronic pain. Therefore, Tat-mediated intracellular delivery can be used for systemic administration of analgesics in pain management.
Chemistry Education in Talent Training of Mineral Processing Engineering Disciplines Paper  [PDF]
Shuming Wen, Haiying Shen
Creative Education (CE) , 2012, DOI: 10.4236/ce.2012.37B044
Abstract: In mineral processing engineering disciplines, flotation, as a primary beneficiation method, is performed on the basis of surface chemical properties of minerals and rocks. The surface chemistry of minerals and rocks can be artificially changed to achieve minerals flotation separation. Thus chemistry plays a very important role in mineral processing engineering disciplines. Analysis shows that inorganic chemistry, organic chemistry and physical chemistry are all required courses for undergraduate students majoring in mineral processing engineering. Analytical chemistry and further quantum chemistry for advanced talent training at the graduate education level are necessary. Chemistry lays the foundation for realizing resource use in efficiency, integration and cleanliness, and plays a significant role in wastewater recycling, zero discharge and environment protection. Emphasizing chemistry education and improving chemistry expertise are an important guarantee for environment protection and sustainable development of mineral resources exploitation and utilization.
Analysis of Chaotic Characters for the Monthly Runoff Se-ries at Fudedian Station in Liaohe Bain  [PDF]
Haiying Hu, Huamao Huang
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B009
Abstract: The evolution of monthly runoff is affected both by climate environment and human activities, and its characteristics play an important role in runoff prediction and simulation. In this paper, the G-P and the principal component analysis method, which are both based on the reconstruction theory of the phase space, are used to study the chaos characteristics of the monthly runoff series at Fudedian station in Liaohe basin. The results show that the monthly runoff series have a large probability of chaos.
How to Save Brand after Crises? A Literature Review on Brand Crisis Management  [PDF]
Ming Li, Haiying Wei
American Journal of Industrial and Business Management (AJIBM) , 2016, DOI: 10.4236/ajibm.2016.62008
Abstract: In recent years, brand crises are becoming increasingly prevalent in the global marketplace. Given that brand crises have many devastating effects, how to manage them effectively has become a hot topic among marketing researchers and practitioners. Based on the review of literatures concerned, this paper first analysed the concept and types of brand crises. Then this article summarized the response strategies that corporations can take during that hard time. Furthermore, this paper identified some factors that influence the effectiveness of those response strategies. Given all of this, the review highlights some promising directions for future research.
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