There are various phenomena of malicious information spreading in the real society, which cause many negative impacts on the society. In order to better control the spreading, it is crucial to reveal the influence of ...There are various phenomena of malicious information spreading in the real society, which cause many negative impacts on the society. In order to better control the spreading, it is crucial to reveal the influence of network structure on network spreading. Motifs, as fundamental structures within a network, play a significant role in spreading. Therefore, it is of interest to investigate the influence of the structural characteristics of basic network motifs on spreading dynamics.Considering the edges of the basic network motifs in an undirected network correspond to different tie ranges, two edge removal strategies are proposed, short ties priority removal strategy and long ties priority removal strategy. The tie range represents the second shortest path length between two connected nodes. The study focuses on analyzing how the proposed strategies impact network spreading and network structure, as well as examining the influence of network structure on network spreading. Our findings indicate that the long ties priority removal strategy is most effective in controlling network spreading, especially in terms of spread range and spread velocity. In terms of network structure, the clustering coefficient and the diameter of network also have an effect on the network spreading, and the triangular structure as an important motif structure effectively inhibits the spreading.展开更多
Considering dynamical disease spreading network consisting of moving individuals,a new double-layer network is constructed,one where the information dissemination process takes place and the other where the dynamics o...Considering dynamical disease spreading network consisting of moving individuals,a new double-layer network is constructed,one where the information dissemination process takes place and the other where the dynamics of disease spreading evolves.On the basis of Markov chains theory,a new model characterizing the coupled dynamics between information dissemination and disease spreading in populations of moving agents is established and corresponding state probability equations are formulated to describe the probability in each state of every node at each moment.Monte Carlo simulations are performed to characterize the interaction process between information and disease spreading and investigate factors that influence spreading dynamics.Simulation results show that the increasing of information transmission rate can reduce the scale of disease spreading in some degree.Shortening infection period and strengthening consciousness for self-protection by decreasing individual’s scope of activity both can effectively reduce the final refractory density for the disease but have less effect on the information dissemination.In addition,the increasing of vaccination rate or decreasing of long-range travel can also reduce the scale of disease spreading.展开更多
Whether SDF-1 is related to the occurrence and development of gastric cancer, we collected gastric cancer tissues and corresponding non-cancerous gastric tissues from 52 patients with gastric cancer, and detected the ...Whether SDF-1 is related to the occurrence and development of gastric cancer, we collected gastric cancer tissues and corresponding non-cancerous gastric tissues from 52 patients with gastric cancer, and detected the expression of SDF-1 by real-time fluorescence quantitative polymerase chain reaction (RT-PCR) and immunohistochemistry. We also analyzed the relationship between the expression level and clinicopathological characteristics. In both cases SDF-1 gene and protein expression in gastric cancer tissues were significantly higher than in corresponding non-cancerous gastric tissues (both P 0.05, respectively). Also, there were no significant relations hip in gastric cancer tissues of Helicobacter pylori (HP)-positive patients and negative ones (P > 0.05). The result of the study showed that SDF-1 might play a significant role in the process of formation and development of gastric cancer as an oncogene, but could not be used as an index to judge prognosis and predict recurrence.展开更多
HPLC and headspace-gas chromatography-mass spectrometry(HS-GC-MS)were used to investigate the content of saponins and volatile components in Chinese Shizhu Panax of different growth years.82 components were isolated f...HPLC and headspace-gas chromatography-mass spectrometry(HS-GC-MS)were used to investigate the content of saponins and volatile components in Chinese Shizhu Panax of different growth years.82 components were isolated from Chinese Shizhu Panax,69 components of them were successfully identified.They mainly contained monoterpenes,alkanes and sesquiterpenoids,of which sesquiterpenoids were the main components.The results indicated that the content of saponins in Chinese Shizhu Panax of different growth years was dissimilar and diverse.The content of total saponins can be enriched when properly prolonging the growth years of Chinese Shizhu Panax.However,the content of ginsenosides can reach the level in the fifth year according to Chinese Pharmacopoeia.The volatile components in Chinese Shizhu Panax of different growth years also differ in content,type and proportion of compounds to a certain degree.展开更多
In this paper,we propose a novel fractional-order proportional-derivative(PD)strategy to achieve the control of bifurcation of a fractional-order gene regulatory model with delays.The stability theory of fractional di...In this paper,we propose a novel fractional-order proportional-derivative(PD)strategy to achieve the control of bifurcation of a fractional-order gene regulatory model with delays.The stability theory of fractional differential equations proved that with delays,some explicit conditions for the local asymptotical stability and Hopf bifurcation are given for the controlled fractional-order genetic model.It is demonstrated that the fractional-order gene regulatory model becomes controllable by adjusting the control gain parameters.In addition,the effect of fractional-order parameter on the dynamical behaviors is shown.Finally,numerical simulations are carried out to testify the validity of the main results and the availability of the fractional-order PD controller.展开更多
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 62373197 and 62203229)the Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (Grant No. KYCX24_1211)。
文摘There are various phenomena of malicious information spreading in the real society, which cause many negative impacts on the society. In order to better control the spreading, it is crucial to reveal the influence of network structure on network spreading. Motifs, as fundamental structures within a network, play a significant role in spreading. Therefore, it is of interest to investigate the influence of the structural characteristics of basic network motifs on spreading dynamics.Considering the edges of the basic network motifs in an undirected network correspond to different tie ranges, two edge removal strategies are proposed, short ties priority removal strategy and long ties priority removal strategy. The tie range represents the second shortest path length between two connected nodes. The study focuses on analyzing how the proposed strategies impact network spreading and network structure, as well as examining the influence of network structure on network spreading. Our findings indicate that the long ties priority removal strategy is most effective in controlling network spreading, especially in terms of spread range and spread velocity. In terms of network structure, the clustering coefficient and the diameter of network also have an effect on the network spreading, and the triangular structure as an important motif structure effectively inhibits the spreading.
基金This research has been supported by the National Natural Science Foundation of China(Grant No.61672298 and 61373136)the National Social Science Foundation of China(Grant No.13BTQ046)+3 种基金the High-level Introduction of Talent Scientific Research Start-up Fund of Jiangsu Police Institute(Grant No.JSPI17GKZL403)the Scientific Research Program of Jiangsu Police Institute(Grant No.2017SJYZQ01)the Science and Technology Plan Projects of Jiangsu Province(Grant No.BE2017067)and the Research Foundation for Humanities and Social Sciences of Ministry of Education of China(Grant No.15YJAZH016).
文摘Considering dynamical disease spreading network consisting of moving individuals,a new double-layer network is constructed,one where the information dissemination process takes place and the other where the dynamics of disease spreading evolves.On the basis of Markov chains theory,a new model characterizing the coupled dynamics between information dissemination and disease spreading in populations of moving agents is established and corresponding state probability equations are formulated to describe the probability in each state of every node at each moment.Monte Carlo simulations are performed to characterize the interaction process between information and disease spreading and investigate factors that influence spreading dynamics.Simulation results show that the increasing of information transmission rate can reduce the scale of disease spreading in some degree.Shortening infection period and strengthening consciousness for self-protection by decreasing individual’s scope of activity both can effectively reduce the final refractory density for the disease but have less effect on the information dissemination.In addition,the increasing of vaccination rate or decreasing of long-range travel can also reduce the scale of disease spreading.
文摘Whether SDF-1 is related to the occurrence and development of gastric cancer, we collected gastric cancer tissues and corresponding non-cancerous gastric tissues from 52 patients with gastric cancer, and detected the expression of SDF-1 by real-time fluorescence quantitative polymerase chain reaction (RT-PCR) and immunohistochemistry. We also analyzed the relationship between the expression level and clinicopathological characteristics. In both cases SDF-1 gene and protein expression in gastric cancer tissues were significantly higher than in corresponding non-cancerous gastric tissues (both P 0.05, respectively). Also, there were no significant relations hip in gastric cancer tissues of Helicobacter pylori (HP)-positive patients and negative ones (P > 0.05). The result of the study showed that SDF-1 might play a significant role in the process of formation and development of gastric cancer as an oncogene, but could not be used as an index to judge prognosis and predict recurrence.
基金the National Key R&D Program of China(2017YFC1701200).
文摘HPLC and headspace-gas chromatography-mass spectrometry(HS-GC-MS)were used to investigate the content of saponins and volatile components in Chinese Shizhu Panax of different growth years.82 components were isolated from Chinese Shizhu Panax,69 components of them were successfully identified.They mainly contained monoterpenes,alkanes and sesquiterpenoids,of which sesquiterpenoids were the main components.The results indicated that the content of saponins in Chinese Shizhu Panax of different growth years was dissimilar and diverse.The content of total saponins can be enriched when properly prolonging the growth years of Chinese Shizhu Panax.However,the content of ginsenosides can reach the level in the fifth year according to Chinese Pharmacopoeia.The volatile components in Chinese Shizhu Panax of different growth years also differ in content,type and proportion of compounds to a certain degree.
基金the National Natural Science Foundation of China(Nos.61573194,61672298 and 61833005)the Natural Science Foundation of Jiangsu Province of China(No.BK20181389)the Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province(Grant.No.2018SJZD1142).
文摘In this paper,we propose a novel fractional-order proportional-derivative(PD)strategy to achieve the control of bifurcation of a fractional-order gene regulatory model with delays.The stability theory of fractional differential equations proved that with delays,some explicit conditions for the local asymptotical stability and Hopf bifurcation are given for the controlled fractional-order genetic model.It is demonstrated that the fractional-order gene regulatory model becomes controllable by adjusting the control gain parameters.In addition,the effect of fractional-order parameter on the dynamical behaviors is shown.Finally,numerical simulations are carried out to testify the validity of the main results and the availability of the fractional-order PD controller.
