Equiprobable symbolization pattern entropy for time series complexity measurement

In order to effectively mine the structural features in time series and simplify the complexity of time series analysis, equiprobable symbolization pattern entropy (EPSPE) is proposed in this paper. The original time series are implemented through symbolic processing according to an equal probability distribution. Then, the sliding window technique is used to obtain a finite number of different symbolic patterns, and the pattern pairs are determined by calculating the conversion between the symbolic patterns. Next, the conversion frequency between symbolized patterns is counted to calculate the probability of the pattern pairs, thus estimating the complexity measurement of complex signals. Finally, we conduct extensive experiments based on the Logistic system under different parameters and the natural wind field. The experimental results show our EPSPE of the Logistic system increases from 5 to 7.5 as the parameters increase, which makes the distinction of periodic and complex time series with varying degrees intuitive. Meanwhile, it can more concisely reflect the structural characteristics and interrelationships between time series from the natural wind field (8.8–10 for outdoor and 7.8–8.3 for indoor). In contrast, the results of several state-of-the-art schemes are irregular and cannot distinguish the complexity of periodic time series as well as accurately predict the spatial deployment relationship of nine 2D ultrasonic anemometers

Distributed H∞ equalization control for multi-node power generation systems

This paper proposes a novel distributed H∞ equalization control for distributed generation systems with multiple power generation nodes. Distributed generation becomes a new trend in modern power systems for the future smart grid and receives more and more attention. The proposed control method makes the distributed generation nodes working at the same output ratio by developing the distributed H∞ equalization control which is based on the output feedback from the nearby neighbors and local observers. The sufficient conditions for H∞ equalization control design based on estimation are established in terms of a linear matrix inequality. Simulation results are provided to verify the effectiveness of the proposed method

Association of organizational and patient behaviors with physician well-being: A national survey in China

This study aims to investigate the association of organizational and patient behaviors (reflecting the internal and external environment of hospital, respectively) with physician well-being. A national cross-sectional survey was conducted in 77 hospitals across seven provinces in China between July 2014 and April 2015. Physician well-being was assessed with job satisfaction, career regret and happiness. Organizational behaviors were assessed with organizational fairness, leadership attention and team interaction; patient behaviors were assessed with patient trust and unreasonable requests from patients. Of a study sample of 3,159 physicians, 1,788 were men (56.6%) and 1,371 were women (43.4%). Overall, positive organizational and patient behaviors reported by physicians were relatively low. Negative organizational behaviors and patient behaviors including lower organizational fairness, lower leadership attention, lower team interaction and lower patient trust were associated with lower job satisfaction and lower life satisfaction, and higher career regret. The association between organizational behaviors and physician well-being exhibited some gender differences, while no clear gender difference was found for the relationship between patient behaviors and physician well-being. Given the importance of physician well-being for the healthcare system, interventions for improving internal and external hospital environments (e.g., organizational fairness, leadership attention, team interaction and patient trust) may benefit physician well-being

Distributed H∞ equalization control for multi-node power generation systems

This paper proposes a novel distributed H∞ equalization control for distributed generation systems with multiple power generation nodes. Distributed generation becomes a new trend in modern power systems for the future smart grid and receives more and more attention. The proposed control method makes the distributed generation nodes working at the same output ratio by developing the distributed H∞ equalization control which is based on the output feedback from the nearby neighbors and local observers. The sufficient conditions for H∞ equalization control design based on estimation are established in terms of a linear matrix inequality. Simulation results are provided to verify the effectiveness of the proposed method

Joint waveform design of radar detection, wireless communication and jamming based on chaotic composite modulation

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Non-KAM classical chaos topology for electrons in superlattice minibands determines the inter-well quantum transition rates

We investigate the quantum-classical correspondence for a particle tunnelling through a periodic superlattice structure with an applied bias voltage and an additional tilted harmonic oscillator potential. We show that the quantum mechanical tunnelling rate between neighbouring quantum wells of the superlattice is determined by the topology of the phase trajectories of the analogous classical system. This result also enables us to estimate, with high accuracy, the tunnelling rate between two spatially displaced simple harmonic oscillator states using a classical model, and thus gain new insight into this generic quantum phenomenon. This finding opens new directions for exploring and understanding the quantum-classical correspondence principle and quantum jumps between displaced harmonic oscillators, which are important in many branches of natural science.</p

Non-KAM classical chaos topology for electrons in superlattice minibands determines the inter-well quantum transition rates

We investigate the quantum-classical correspondence for a particle tunnelling through a periodic superlattice structure with an applied bias voltage and an additional tilted harmonic oscillator potential. We show that the quantum mechanical tunnelling rate between neighbouring quantum wells of the superlattice is determined by the topology of the phase trajectories of the analogous classical system. This result also enables us to estimate, with high accuracy, the tunnelling rate between two spatially displaced simple harmonic oscillator states using a classical model, and thus gain new insight into this generic quantum phenomenon. This finding opens new directions for exploring and understanding the quantum-classical correspondence principle and quantum jumps between displaced harmonic oscillators, which are important in many branches of natural science.</p

Supplementary information files for Non-KAM classical chaos topology for electrons in superlattice minibands determines the inter-well quantum transition rates

(c) the Authors, CC-BY 4.0Supplementary files for article Non-KAM classical chaos topology for electrons in superlattice minibands determines the inter-well quantum transition ratesWe investigate the quantum-classical correspondence for a particle tunnelling through a periodic superlattice structure with an applied bias voltage and an additional tilted harmonic oscillator potential. We show that the quantum mechanical tunnelling rate between neighbouring quantum wells of the superlattice is determined by the topology of the phase trajectories of the analogous classical system. This result also enables us to estimate, with high accuracy, the tunnelling rate between two spatially displaced simple harmonic oscillator states using a classical model, and thus gain new insight into this generic quantum phenomenon. This finding opens new directions for exploring and understanding the quantum-classical correspondence principle and quantum jumps between displaced harmonic oscillators, which are important in many branches of natural science.</p

A novel gene network analysis in liver tissues of diabetic rats in response to resistant starch treatment

© 2015, Wang et al.; licensee Springer.In this study, we investigated the genome-wide gene expression profiles in the liver tissue of diabetic rats before and after RS treatment. The microarray-based analysis revealed that a total of 173 genes were up-regulated and 197 genes were down-regulated in response to RS treatment. These genes were mainly related to glucose metabolism (e.g., hexokinase, pyruvate kinase and phosphotransferase etc.), and lipid metabolism (e.g., carnitine palmitoyl transfer 1, fatty acid transporter, beta hydroxyl butyric dehydrogenase etc.). Cluster analysis results showed that the up/down-regulated genes were highly responsive to RS treatment, and were considered to be directly or indirectly associated with reducing plasma glucose and body fat. To interpret the mechanism of RS regulation at the molecular level, a novel gene network was constructed based on 370 up/down-regulated genes coupled with 718 known diabetes-related genes. The topology of the network showed the characteristics of small-world and scale-free network, with some pathways demonstrating a high degree. Forkhead class A signaling pathway, with a degree of 8, was analyzed and was found to have an effect mainly on glucose and lipid metabolism processes. The results indicate that RS can suppress the development of type 2 diabetes in the STZ rat model through modulating the expression of multiple genes involved in glucose and lipid metabolism. The potential application of this novel gene network is also discussed

Effect of Ganoderma lucidum spores intervention on glucose and lipid metabolism gene expression profiles in type 2 diabetic rats

© 2015 Wang et al.; licensee BioMed Central.Background: The fruiting body of Ganoderma lucidum has been used as a traditional herbal medicine for many years. However, to the date, there is no detailed study for describing the effect of G. lucidum spores on oxidative stress, blood glucose level and lipid compositions in animal models of type 2 diabetic rats, in particular the effect on the gene expression profiles associated with glucose and lipid metabolisms. Methods: G. lucidum spores powder (GLSP) with a shell-broken rate >99.9 % was used. Adult male Sprague-Dawley rats were randomly divided into three groups (n∈=∈8/group). Group 1: Normal control, normal rats with ordinary feed; Group 2: Model control, diabetic rats with ordinary feed without intervention; Group 3: GLSP, diabetic rats with ordinary feed, an intervention group utilizing GLSP of 1 g per day by oral gavages for 4 consecutive weeks. Type 2 diabetic rats were obtained by streptozocin (STZ) injection. The changes in the levels of glucose, triglycerides, total cholesterol and HDL-cholesterol in blood samples were analyzed after GLSP intervention. Meanwhile, gene expressions associated with the possible molecular mechanism of GLSP regulation were also investigated using a quantitative RT-PCR. Results: The reduction of blood glucose level occurred within the first 2 weeks of GLSP intervention and the lipid synthesis in the diabetic rats of GLSP group was significantly decreased at 4 weeks compared to the model control group. Furthermore, it was also found that GLSP intervention greatly attenuated the level of oxidative stress in the diabetic rats. Quantitative RT-PCR analysis showed up-regulation of lipid metabolism related genes (Acox1, ACC, Insig-1 and Insig-2) and glycogen synthesis related genes (GS2 and GYG1) in GLSP group compared to model control group. Additionally, there were no significant changes in the expression of other genes, such as SREBP-1, Acly, Fas, Fads1, Gpam, Dgat1, PEPCK and G6PC1. Conclusion: This study might indicate that GLSP consumption could provide a beneficial effect in terms of lowering the blood glucose levels by promoting glycogen synthesis and inhibiting gluconeogenesis. Meanwhile, GLSP treatment was also associated with the improvement of blood lipid compositions through the regulation of cholesterol homeostasis in the type 2 diabetic rats