229 research outputs found

    Statistical Analysis of Humanities and Social Sciences Collaboration Research in China

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    With the development of humanities and social sciences, research collaboration becomes more and more important. This article studies collaboration phenomena of seventeen kinds of journals’ from 1995-2004 in china. According to statistical data, some characteristics are disclosed, and some tested explanations are given. This article makes a comparison of research collaboration between China and other country, and some differences are studied. A lot of differences of research collaboration among humanities sciences, social sciences and natural sciences are also pointed out

    Statistical Analysis of Humanities and Social Sciences Collaboration Research in China

    Get PDF
    With the development of humanities and social sciences, research collaboration becomes more and more important. This article studies collaboration phenomena of seventeen kinds of journals’ from 1995-2004 in china. According to statistical data, some characteristics are disclosed, and some tested explanations are given. This article makes a comparison of research collaboration between China and other country, and some differences are studied. A lot of differences of research collaboration among humanities sciences, social sciences and natural sciences are also pointed out

    DC Supply System Detector of UAV

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    On compression rate of quantum autoencoders: Control design, numerical and experimental realization

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    Quantum autoencoders which aim at compressing quantum information in a low-dimensional latent space lie in the heart of automatic data compression in the field of quantum information. In this paper, we establish an upper bound of the compression rate for a given quantum autoencoder and present a learning control approach for training the autoencoder to achieve the maximal compression rate. The upper bound of the compression rate is theoretically proven using eigen-decomposition and matrix differentiation, which is determined by the eigenvalues of the density matrix representation of the input states. Numerical results on 2-qubit and 3-qubit systems are presented to demonstrate how to train the quantum autoencoder to achieve the theoretically maximal compression, and the training performance using different machine learning algorithms is compared. Experimental results of a quantum autoencoder using quantum optical systems are illustrated for compressing two 2-qubit states into two 1-qubit states

    Cooperative network analysis of patent holders in the field of OLED technology

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    With the continuous development of science and technology, the number of patents continues to increase. At the same time, patent cooperation is more normal. It is particularly important to analyze the cooperation relationship among patent holders. The application of social network analysis methods solves this problem. OLED tends to gradually replace LCD. South Korea's Samsung and LG hold the majority of patents in the OLED field. How to break through has become a problem faced by Chinese companies. This paper uses the degree centrality, betweenness centrality and closeness centrality in the social network analysis method, and uses the data visualization tool Ucinet to systematically analyze the OLED technology patents from the Derwent Innovation Index. The results show that there is a clear trend of cooperation among patent holders in the OLED technology field. China's OLED enterprises should speed up the industrial chain layout, increase relevant R&D investment, and improve the R&D intensity of core technologies

    Changes of Acylating Stimulating Protein (ASP) and Blood Lipid in Patients with Acute Myocardial Infarction

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    Objective: To study the changes of acylating stimulating protein (ASP) and blood lipid in patients with acute myocardial infarction. Method: There were three groups,25 cases of acute myocardial infarction patients (acute myocardial infarction group), 32 cases of coronary heart disease patients without myocardial infarction (CHD group) and 30 cases of healthy people (control group). They respectively detected the ASP, low density lipoprotein cholesterol (LDL-C), triglyceride (TG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C), and analyzed the correlation between them. Results: (1) ASP, TG, TC and LDL-C of acute myocardial infarction group and coronary heart disease group were significantly higher than those of control group, while HDL-C was lower than control group, the difference was statistically significant (P < 0.05). (2) TG in coronary heart disease group was higher than that in acute myocardial infarction group, while ASP, TC, LDL-C and HDL-C had no significant difference. Conclusion: ASP and blood lipid are risk factors of CHD, ASP can be used as risk index of CHD. There was no significant difference in plasma ASP between patients with acute myocardial infarction and patients with coronary heart disease without myocardial infarction. ASP cannot be used as a surrogate marker of acute myocardial infarction

    Future growth pattern projections under shared socioeconomic pathways: a municipal city bottom-up aggregated study based on a localised scenario and population projections for China

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    Precise multi-scenario projections of future economic outputs based on localised interpretations of global scenarios and major growth drivers are important for understanding long-term economic changes. However, few studies have focussed on localised interpretations, and many assume regional uniformity or use key parameters that are recursive or extrapolated by mathematical methods. This study provides a more intuitive and robust economic framework for projecting regional economic growth based on a neoclassical economic model and shared socioeconomic pathways (SSPs) scenarios. A non-uniform version of SSP2 (the middle-of-the-road scenario) was developed, and more detailed population projections for China were adopted using municipal-level data for 340 districts and parameter settings based on China’s recent development. The results show that China’s GDP will vary substantially across SSPs by 2050. Per capita GDP ranges from 19,300 USD under SSP3 (fragmentation) to 41,100 USD under SSP5 (conventional development). Per capita GDP under SSP1 (sustainability) is slightly higher than under SSP2, but lower on average than under SSP5. However, SSP1 is a better choice overall because environmental quality and equity are higher. Per capita GDP growth will generally be higher in relatively low-income regions by 2050, and the upper-middle-income provinces will become China’s new engine for economic growth

    Effects of Dietary Cholesterol Levels on the Growth, Molt Performance, and Immunity of Juvenile Swimming Crab, Portunus trituberculatus

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    The effects of dietary cholesterol levels on growth, molt performance, and immunity of juvenile swimming crab Portunus trituberculatus, were investigated at four cholesterol levels (0.2%-1.4%) of purified diets. Each diet was fed in triplicate to 18 crabs per replicate for 50 days. Crabs fed the diet with 1.0% cholesterol showed significantly higher (P<0.05) specific growth rate (SGR) than the other groups, who suffered from relatively lower molt death syndrome (MDS). Cholesterol content in the serum, whole body, and hepatopancreas increased in relation to dietary cholesterol. Muscle lipid content was significantly higher (P<0.05) in crabs fed the diet with 0.2% cholesterol compared to the other treatments. Crabs fed moderate dietary cholesterol levels showed higher alkaline phosphatase (AKP) or acid phosphatase (ACP) levels than those fed 0.2% or 1.4% cholesterol diets. The present study also showed that dietary cholesterol supplementation generally increased serum superoxide dismutase (SOD) activity. Overall, moderate dietary cholesterol (1.0 %) enhanced the performance of growth, survival, molting, and immunity of juvenile swimming crab P. trituberculatus
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