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Search Results: 1 - 10 of 161789 matches for " Jin-Li Shi "
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Nardosinone Improves the Proliferation, Migration and Selective Differentiation of Mouse Embryonic Neural Stem Cells
Ze-Hui Li, Wei Li, Jin-Li Shi, Min-Ke Tang
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0091260
Abstract: In this study, we investigated the impact of Nardosinone, a bioactive component in Nardostachys root, on the proliferation and differentiation of neural stem cells. The neural stem cells were isolated from cerebrums of embryonic day 14 CD1 mice. The proliferation of cells was monitored using the cell counting kit-8 assay, bromodeoxyuridine incorporation and cell cycle analysis. Cell migration and differentiation were investigated with the neurosphere assay and cell specific markers, respectively. The results showed that Nardosinone promotes cells proliferation and increases cells migration distance in a dose-dependent manner. Nardosinone also induces the selective differentiation of neural stem cells to neurons and oligodendrocytes, as indicated by the expression of microtubule-associated protein-2 and myelin basic protein, respectively. Nardosinone also increases the expression of phospho-extracellular signal-regulated kinase and phospho-cAMP response element binding protein during proliferation and differentiation. In conclusion, this study reveals the regulatory effects of Nardosinone on neural stem cells, which may have significant implications for the treatment of brain injury and neurodegenerative diseases.
Isolation and biological activity of triglycerides of the fermented mushroom of Coprinus Comatus
Jun Ren, Jin-Li Shi, chunchao han, Zhen-Quan Liu, jianyou guo
BMC Complementary and Alternative Medicine , 2012, DOI: 10.1186/1472-6882-12-52
Abstract: The effects of TFC on cytokines levels, total antioxidant activity, antinociceptive effects in vivo, LD50 and tactile hyperalgesia were analyzed respectively.TFC treatment decreased the levels of cytokines and total antioxidant status (TAOS) and inhibited the acetic acid-induced abdominal constrictions in mice. In addition, TFC reduced CFA-induced tactile hyperalgesia in a dose-dependent manner and the LD50 of TFC was determined to be 400?mg/kg. However, TFC did not significantly inhibit the reaction time to thermal stimuli in the hot-plate test.TFC showed anti-inflammatory, antioxidant, peripheral antinociceptive and antihyperalgesic activity in various models of inflammatory pain. The data suggest that TFC may be a viable treatment option for inflammatory pain.
Evaluation of anxiolytic activity of compound Valeriana jatamansi Jones in mice
You Jie-Shu,Peng Min,Shi Jin-Li,Zheng Hu-Zhan
BMC Complementary and Alternative Medicine , 2012, DOI: 10.1186/1472-6882-12-223
Abstract: Background Compound Valeriana jatamansi Jones is a formula for treating anxiety-related diseases in the clinic, which is composed of Valeriana jatamansi Rhizoma et Radix, Ziziphi Spinosae Semen, Albiziae Cortex and Junci Medulla. The purpose of this study was to explore the anxiolytic properties of this compound in mice. Methods Male ICR mice were treated with compound Valerianae Jatamansi Jones (1.2 g/kg, 2.4 g/kg, 4.8 g/kg), saline, diazepam (2 mg/kg) orally for 10 days and then exposed to elevated maze-plus (EPM) and light–dark box (LDB). The effects of the compound on spontaneous activity were evaluated by locomotor activity test. We further investigated the mechanism of action underlying the anxiolytic-like effect of compound by pre-treating animals with antagonists of benzodiazepine (flumazenil, 3mg/kg) prior to evaluation using EPM and LDB. Results Compound Valerianae Jatamansi Jones (2.4, 4.8 g/kg, p.o.) significantly increased entries (P<0.05) into and time spent (P<0.05) on the open arms of the EPM, and number of transitions (P<0.05) and time spent (P<0.05) in the light compartment of the LDB. However, the anxiolytic-like effects of compound were significantly reduced by pre-treatment with flumazenil (P>0.05). In addition, compound Valerianae Jatamansi Jones treatment didn’t affect the spontaneous activity in mice (P> 0.05). Conclusions The present study supports the hypothesis that compound Valeriana jatamansi Jones exert anxiolytic action but no sedative effects in mice and that this effect might be mediated by benzodiazepine receptors.
S-curve networks and an approximate method for estimating degree distributions of complex networks
Jin-Li Guo
Physics , 2010, DOI: 10.1088/1674-1056/19/12/120503
Abstract: In the study of complex networks almost all theoretical models have the property of infinite growth, but the size of actual networks is finite. According to statistics from the China Internet IPv4 (Internet Protocol version 4) addresses, this paper proposes a forecasting model by using S curve (Logistic curve). The growing trend of IPv4 addresses in China is forecasted. There are some reference value for optimizing the distribution of IPv4 address resource and the development of IPv6. Based on the laws of IPv4 growth, that is, the bulk growth and the finitely growing limit, it proposes a finite network model with a bulk growth. The model is said to be an S-curve network. Analysis demonstrates that the analytic method based on uniform distributions (i.e., Barab\'asi-Albert method) is not suitable for the network. It develops an approximate method to predict the growth dynamics of the individual nodes, and use this to calculate analytically the degree distribution and the scaling exponents. The analytical result agrees with the simulation well, obeying an approximately power-law form. This method can overcome a shortcoming of Barab\'asi-Albert method commonly used in current network research.
Relationship between exponent of power-law distributions and exponent of cumulative distributions
Jin-Li Guo
Physics , 2010,
Abstract: We commented on Ref.[Andrade J S, Herrmann H J, Andrade R F S, et al. Phys. Rev. Lett. 94, 018702 (2005)] and corrected the approach to estimate the degree distribution of the Apollonian network. However, after reading our manuscript, Herrmann indicated that it was due to a small typographic error and Herrmann et al. published Ref. [Andrade J S, Herrmann H J, Andrade R F S, et al. Phys. Rev. Lett. 102, 079901 (2009)]. In this paper, the relationship between an exponent of power-law distributions and the exponent of cumulative distributions is studied. For power-law distribution with geometrically growing domain, we prove that its exponent is equal to the exponent of its cumulative distribution. We carried out numerical simulations and obtain results that are in good agreement with the theoretical analysis.
Bose-Einstein Hypernetworks
Jin-Li Guo
Physics , 2015,
Abstract: The paper proposes a Bose-Einstein hypernetwork model, and studies evolving mechanisms and topological properties of hyperedge hyperdegrees of the hypernetwork. We analyze the model by using a Poisson process theory and a continuous technique, and give a characteristic equation of hyperedge hyperdegrees of the Bose-Einstein hypernetwork. We obtain the stationary average hyperedge hyperdegree distribution of the hypernetwork by the characteristic equation. The paper first studies topological properties of hyperedge hyperdegrees. Bose-Einstein condensation model can be seen as a special case of this kind of hypernetworks. Condensation degree is proposed, in particular, the condensation of particles can be classified according to the condensation degree.
Empirical study and modeling of human behaviour dynamics of comments on Blog posts
Jin-Li Guo
Computer Science , 2010,
Abstract: On-line communities offer a great opportunity to investigate human dynamics, because much information about individuals is registered in databases. In this paper, based on data statistics of online comments on Blog posts, we first present an empirical study of a comment arrival-time interval distribution. We find that people interested in some subjects gradually disappear and the interval distribution is a power law. According to this feature, we propose a model with gradually decaying interest. We give a rigorous analysis on the model by non-homogeneous Poisson processes and obtain an analytic expression of the interval distribution. Our analysis indicates that the time interval between two consecutive events follows the power-law distribution with a tunable exponent, which can be controlled by the model parameters and is in interval (1,+{\infty}). The analytical result agrees with the empirical results well, obeying an approximately power-law form. Our model provides a theoretical basis for human behaviour dynamics of comments on Blog posts.
Zero-determinant strategies in iterated multi-strategy games
Jin-Li Guo
Computer Science , 2014,
Abstract: Self-serving, rational agents sometimes cooperate to their mutual benefit. The two-player iterated prisoner's dilemma game is a model for including the emergence of cooperation. It is generally believed that there is no simple ultimatum strategy which a player can control the return of the other participants. The recent discovery of the powerful class of zero-determinant strategies in the iterated prisoner's dilemma dramatically expands our understanding of the classic game by uncovering strategies that provide a unilateral advantage to sentient players pitted against unwitting opponents. However, strategies in the prisoner's dilemma game are only two strategies. Are there these results for general multi-strategy games? To address this question, the paper develops a theory for zero-determinant strategies for multi-strategy games, with any number of strategies. The analytical results exhibit a similar yet different scenario to the case of two-strategy games. Zero-determinant strategies in iterated prisoner's dilemma can be seen as degenerate case of our results. The results are also applied to the snowdrift game, the hawk-dove game and the chicken game.
Weblog patterns and human dynamics with decreasing interest
Jin-Li Guo
Computer Science , 2010, DOI: 10.1140/epjb/e2011-10722-1
Abstract: Weblog is the fourth way of network exchange after Email, BBS and MSN. Most bloggers begin to write blogs with great interest, and then their interests gradually achieve a balance with the passage of time. In order to describe the phenomenon that people's interest in something gradually decreases until it reaches a balance, we first propose the model that describes the attenuation of interest and reflects the fact that people's interest becomes more stable after a long time. We give a rigorous analysis on this model by non-homogeneous Poisson processes. Our analysis indicates that the interval distribution of arrival-time is a mixed distribution with exponential and power-law feature, that is, it is a power law with an exponential cutoff. Second, we collect blogs in ScienceNet.cn and carry on empirical studies on the interarrival time distribution. The empirical results agree well with the analytical result, obeying a special power law with the exponential cutoff, that is, a special kind of Gamma distribution. These empirical results verify the model, providing an evidence for a new class of phenomena in human dynamics. In human dynamics there are other distributions, besides power-law distributions. These findings demonstrate the variety of human behavior dynamics.
The co-evolution of brand effect and competitiveness in evolving networks
Jin-Li Guo
Computer Science , 2013, DOI: 10.1088/1674-1056/23/7/070206
Abstract: The principle that 'the brand effect is attractive' underlies preferential attachment. Here we show that the brand effect is just one dimension of attractiveness. Another dimension is competitiveness. We firstly develop a general framework that allows us to investigate the competitive aspect of real networks, instead of simply preferring popular nodes. Our model accurately describes the evolution of social and technological networks. The phenomenon which more competitive nodes become richer links can help us to understand the evolution of many competitive systems in nature and society. In general, the paper provides an explicit analytical expression of degree distributions of the network. In particular, the model yields a nontrivial time evolution of nodes' properties and scale-free behavior with exponents depending on the microscopic parameters characterizing the competition rules. Secondly, through theoretical analysis and numerical simulations, it reveals that our model has not only the universality for the homogeneous weighted network, but also the character for the heterogeneous weighted network. Thirdly, the paper also develops a model based on a profit-driven mechanism. It can better describe the observed phenomenon in enterprise cooperation networks. We show that standard preferential attachment, the growing random graph, the initial attractiveness model, the fitness model and weighted networks, can all be seen as degenerate cases of our model.
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