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Search Results: 1 - 10 of 127426 matches for " Nana LI "
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Hilbert Huang Transform for Predicting Proteins Subcellular Location  [PDF]
Feng SHI, Qiujian CHEN, Nana LI
Journal of Biomedical Science and Engineering (JBiSE) , 2008, DOI: 10.4236/jbise.2008.11009
Abstract: Apoptosis proteins have a central role in the development and homeostasis of an organism. These proteins are very important for the understanding the mechanism of programmed cell death, and their function is related to their types. The apoptosis proteins are categorized into the following four types: (1) Cytoplasmic protein; (2) Plasma membrane-bound protein; (3) Mitochondrial inner and outer proteins; (4) Other proteins. A novel method, the Hilbert-Huang transform, is applied for predicting the type of a given apoptosis protein with support vector machine. High success rates were obtained by the re-substitute test (98/98=100%), jackknife test (91/98 = 92.9%).
Cardioprotective effects of tea and its catechins  [PDF]
Nana Li, Yue Zhao, Yuerong Liang
Health (Health) , 2013, DOI: 10.4236/health.2013.54A004

Tea is rich in polyphenolic catechins which are beneficial to health. There have been evidences suggesting that habitual tea consumption may reduce the risk of cardiovascular disease (CVD). Intake of tea or catechins isolated from tea was shown to inhibit the development of CVD in population studies and in animal models. Many possible pathways and mechanisms were investigated. There have been evidences showing that tea and tea catechins reduced the risk of CVD by enhancing antioxidant activity, attenuating metabolic syndrome, inhibiting angiotensin converting enzyme, improving endothelial dys-function, preventing cardiac hypertrophy and protecting mitochondria from damage.

Amperometric Glucose Biosensor Based on Integration of Glucose Oxidase with Palladium Nanoparticles/Reduced Graphene Oxide Nanocomposite  [PDF]
Nana Cheng, Hongjuan Wang, Xiaomeng Li, Liande Zhu
American Journal of Analytical Chemistry (AJAC) , 2012, DOI: 10.4236/ajac.2012.34043
Abstract: We report on a new type of amperometric glucose biosensor that was made by integration of glucose oxidase (GOD) with palladium nanoparticles/reduce graphene oxide (Pd/RGO) nanocomposite. The Pd/RGO was prepared by a one-step reduction method in which the palladium nanoparticles and the reduced graphene oxide (RGO) were simultaneously accomplished from the reduction of dispersed solution of PdCl2 and graphite oxide (GO) with hydrazine. The asprepared nanocomposite exhibits favorable electrocatalytic activities towards the oxidation of H2O2, which makes it a good platform for the construction of the glucose biosensor. The analytical performance of the glucose biosensor is fully evaluated. It shows good analytical properties in terms of a short response time (3 s), high sensitivity (14.1 μA/mM), and low detection limit (0.034 mM). In addition, the effects of pH value, applied potential, electroactive interference and the stability of the biosensor were discussed as well.
Strong Local Non-Determinism of Sub-Fractional Brownian Motion  [PDF]
Nana Luan
Applied Mathematics (AM) , 2015, DOI: 10.4236/am.2015.613194
Abstract: Let \"\" be a subfractional Brownian motion in \"\" . We prove that \"\" is strongly locally nondeterministic.
Reasons, Consequences and Solutions to Anti-Business Logic Behavior of State-Owned Enterprises Controllers  [PDF]
Nana Zhang
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.88119
Abstract: Focusing on the anti-business logic behavior of state-owned enterprises controllers, this paper finds that the behavior is characterized by lack of cost constraints, control of commodity prices to make it lower than market equilibrium price, stressing on scale while neglecting efficiency, etc., which causes consequences of overcapacity in some state-owned enterprises, zombie enterprises, the loss of state-owned assets, financial burdens for the state, and unequal market status for private enterprises. Finally, the paper puts forward effective solutions.
Neuroprotective Effect of Phosphocreatine on Focal Cerebral Ischemia-Reperfusion Injury
Tiegang Li,Nana Wang,Min Zhao
Journal of Biomedicine and Biotechnology , 2012, DOI: 10.1155/2012/168756
Abstract: Phosphocreatine (PCr) is a natural compound, which can donate high-energy phosphate group to ADP to synthesize ATP, even in the absence of oxygen and glucose. At present, it is widely used in cardiac and renal ischemia-reperfusion (IR) disease. In this study, to examine the protective efficacy of PCr against cerebral IR, disodium creatine phosphate was injected intravenously into rats before focal cerebral IR. Intracranial pressure (ICP), neurological score, cerebral infarction volume, and apoptotic neurons were observed. Expression of caspase-3 and aquaporin-4 (AQP4) was analyzed. Compared with IR group, rats pretreated with PCr had better neurologic score, less infarction volume, fewer ultrastructural histopathologic changes, reduced apoptosis, and lower aquaporin-4 level. In conclusion, PCr is neuroprotective after transient focal cerebral IR injury. Such a protection might be associated with apoptosis regulating proteins.
Lei Li,Suyuan Zeng,Nana Yan
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536811054274
Abstract: In the title complex, [Sn(C7H6F)2(C8H5N2S3)2], including the weak Sn—N interactions, the SnIV atom is situated in a distorted trans-octahedral geometry, and the equatorial plane is defined by two chelating 4-phenyl-5-sulfanylidene-4,5-dihydro-1,3,4-thiodiazole-2-thiolate ligands. The apical positions are occupied by two C atoms of 4-fluorobenzyl groups.
Bulk viscosity of Mixed nucleon-hyperon-quark Matter in Neutron stars
Nana Pan,Xiaoping Zheng,Jiarong Li
Physics , 2006, DOI: 10.1111/j.1365-2966.2006.10759.x
Abstract: We calculate the coefficient of bulk viscosity by considering the non-leptonic weak interactions in the cores of hybrid stars with both hyperons and quarks. We first determine the dependence of the production rate of neutrons on the reaction rate of quarks in the non-leptonic processes, that is $\Gamma_{n}=K_{s}\Gamma_{s}+\Gamma_{\Lambda}+2\Gamma_{\Sigma^{-}}$. The conversion rate, $K_{s}$ in our scenario is a complicated function of baryon number density. We also consider medium effect of quark matter on bulk viscosity. Using these results, we estimate the limiting rotation of the hybrid stars, which may suppress the r-mode instability more effectively. Hybrid stars should be the candidates for the extremely rapid rotators .
Different Multifractal Scaling of the 0?cm Average Ground Surface Temperature of Four Representative Weather Stations over China
Lei Jiang,Xia Zhao,Nana Li,Fei Li,Ziqi Guo
Advances in Meteorology , 2013, DOI: 10.1155/2013/341934
Abstract: The temporal scaling properties of the daily 0?cm average ground surface temperature (AGST) records obtained from four selected sites over China are investigated using multifractal detrended fluctuation analysis (MF-DFA) method. Results show that the AGST records at all four locations exhibit strong persistence features and different scaling behaviors. The differences of the generalized Hurst exponents are very different for the AGST series of each site reflecting the different scaling behaviors of the fluctuation. Furthermore, the strengths of multifractal spectrum are different for different weather stations and indicate that the multifractal behaviors vary from station to station over China. 1. Introduction In recent years, a variety of methods such as power spectrum analysis, autocorrelation functions, and detrended fluctuation analysis (DFA), among others, have been widely used to study the correlations and fluctuations of different time series [1–6]. The DFA method as an important technique established by Peng et al. [1] and extended by Bunde et al. [2] and Kantelhardt et al. [7], has been used to detect long-range correlations and determine monofractal scaling properties [7–9]. Moreover, it has been successfully applied to a variety of systems ranging from DNA [1], atmospheric temperature [3–6, 10–13], relative humidity [14], wind speed [15], column ozone [16], and air pollution [17]. However, in DFA analysis to reliably infer the scaling effect, it is necessary to establish power law scaling, investigating both constancy of local slopes in a sufficient range and rejection of an exponential decay of the autocorrelation function [18, 19]. Many studies have shown that a monofractal behavior cannot fully describe uneven multifractal properties [7, 8]. Multifractal theory is an effective method to describe quantitatively the nonlinear evolution of complex climate system and the multiscale characteristics of the physical quantity. Thus, studying the multifractal characteristics of climatic system makes us further understand intrinsic regularity and restriction mechanism of climate change. The theoretical results of multifractal study in the practical application are limited to some extent because the classical estimation method of multifractal spectrum is complicated and difficult [20, 21]. Recently, an extension approach based on the DFA method, namely, MF-DFA, has been applied to analyze the multifractal behaviors of nonstationary time series [22]. It has also been successfully utilized in diverse fields [23–26]. The temperature records as an
Probabilistic Fuzzy Regression Approach from the Point of View Risk  [PDF]
Nana Gao, Qiujun Lu
Journal of Data Analysis and Information Processing (JDAIP) , 2018, DOI: 10.4236/jdaip.2018.64010
Abstract: Fuzzy regression analysis is an important regression analysis method to predict uncertain information in the real world. In this paper, the input data are crisp with randomness; the output data are trapezoid fuzzy number, and three different risk preferences and chaos optimization algorithm are introduced to establish fuzzy regression model. On the basis of the principle of the minimum total spread between the observed and the estimated values, risk-neutral, risk-averse, and risk-seeking fuzzy regression model are developed to obtain the parameters of fuzzy linear regression model. Chaos optimization algorithm is used to determine the digital characteristic of random variables. The mean absolute percentage error and variance of errors are adopted to compare the modeling results. A stock rating case is used to evaluate the fuzzy regression models. The comparisons with five existing methods show that our proposed method has satisfactory performance.
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