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Search Results: 1 - 10 of 38176 matches for " Mu Sun "
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Blood Pressure and Depressive Symptoms  [PDF]
Yongpin Mu, Yongqing Gao, Wenjie Sun
Open Journal of Depression (OJD) , 2013, DOI: 10.4236/ojd.2013.24009
Abstract: The topic of blood pressure and depression is an old question. Depression is common in the elderly population (Sun, School- ing, Chan, Ho, & Lam, 2011). Although several epidemiologic studies have assessed the relationship between low blood pres- sure and depressive symptoms in geriatric populations, the results have been inconsistent. Depressive symptoms used to be been considered a risk factor associated with development of hypertension (Hildrum, Romild, & Holmen, 2011).
Quantum-Inspired Bee Colony Algorithm  [PDF]
Guorui Li, Mu Sun, Panchi Li
Open Journal of Optimization (OJOp) , 2015, DOI: 10.4236/ojop.2015.43007
Abstract: To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony optimization algorithm. In our method, the bees are encoded with the qubits described on the Bloch sphere. The classical bee colony algorithm is used to compute the rotation axes and rotation angles. The Pauli matrices are used to construct the rotation matrices. The evolutionary search is achieved by rotating the qubit about the rotation axis to the target qubit on the Bloch sphere. By measuring with the Pauli matrices, the Bloch coordinates of qubit can be obtained, and the optimization solutions can be presented through the solution space transformation. The proposed method can simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities, which may accelerate the optimization process. The experimental results show that the proposed method is obviously superior to the classical one for some benchmark functions.
Inducing Unstable Grassland Equilibrium States Due to Nonlinear Optimal Patterns of Initial and Parameter Perturbations: Theoretical Models

SUN Guodong,MU Mu,

大气科学进展 , 2012,
Abstract: Due to uncertainties in initial conditions and parameters, the stability and uncertainty of grassland ecosystem simulations using ecosystem models are issues of concern. Our objective is to determine the types and patterns of initial and parameter perturbations that yield the greatest instability and uncertainty in simulated grassland ecosystems using theoretical models. We used a nonlinear optimization approach, i.e., a conditional nonlinear optimal perturbation related to initial and parameter perturbations (CNOP) approach, in our work.
Using the Lund-Potsdam-Jena Model to Understand the Different Responses of Three Woody Plants to Land Use in China

SUN Guodong,MU Mu,

大气科学进展 , 2013,
Abstract: In this study, the approach of conditional nonlinear optimal perturbation related to initial perturbation (CNOP-I) was employed to investigate the maximum variations in plant amount for three main woody plants (a temperate broadleaved evergreen, a temperate broadleaved summergreen, and a boreal needleleaved evergreen) in China. The investigation was conducted within a certain range of land use intensity using a state-of-the-art Lund-Potsdam-Jena dynamic global vegetation model (LPJ DGVM). CNOP-I represents a class of deforestation and can be considered a type of land use with respect to the initial perturbation. When deforestation denoted by the CNOP-I has the same intensity for all three plants, the variation in plant amount of the boreal needleleaved evergreen in northern China is greater than the variation in plant amount of both the temperate broadleaved evergreen and temperate broadleaved summergreen in southern China. As deforestation intensity increases, the plant amount variation in the three woody plant functional types carbon changes, in a nonlinear fashion. The impact of land use on plant functional types is minor because the interaction between climate condition and land use is not considered in the LPJ model. Finally, the different impacts of deforestation on net primary production of the three plant functional types were analyzed by modeling gross primary production and autotrophic respiration. Our results suggest that the CNOP-I approach is a useful tool for exploring the nonlinear and different responses of terrestrial ecosystems to land use.
Response of a Grassland Ecosystem to Climate Change in a Theoretical Model

SUN Guodong,MU Mu,

大气科学进展 , 2011,
Abstract: The response of a grassland ecosystem to climate change is discussed within the context of a theoretical model. An optimization approach, a conditional nonlinear optimal perturbation related to parameter (CNOP-P) approach, was employed in this study. The CNOP-P, a perturbation of moisture index in the theoretical model, represents a nonlinear climate perturbation. Two kinds of linear climate perturbations were also used to study the response of the grassland ecosystem to different types of climate changes. The results show that the extent of grassland ecosystem variation caused by the CNOP-P-type climate change is greater than that caused by the two linear types of climate change. In addition, the grassland ecosystem affected by the CNOP-P-type climate change evolved into a desert ecosystem, and the two linear types of climate changes failed within a specific amplitude range when the moisture index recovered to its reference state. Therefore, the grassland ecosystem response to climate change was nonlinear. This study yielded similar results for a desert ecosystem seeded with both living and wilted biomass litter. The quantitative analysis performed in this study also accounted for the role of soil moisture in the root zone and the shading effect of wilted biomass on the grassland ecosystem through nonlinear interactions between soil and vegetation. The results of this study imply that the CNOP-P approach is a potentially effective tool for assessing the impact of nonlinear climate change on grassland ecosystems.
Nonlinear Feature of the Abrupt Transitions between Multiple Equilibria States of an Ecosystem Model

SUN Guodong,MU Mu,

大气科学进展 , 2009,
Abstract: Based on a five-variable theoretical ecosystem model, the stability of equilibrium state and the nonlinear feature of the transition between a grassland state and a desert state are investigated. The approach of the conditional nonlinear optimal perturbations (CNOPs), which are the nonlinear generalization of the linear singular vectors (LSVs), is adopted. The numerical results indicate that the linearly stable grassland and desert states are nonlinearly unstable to large enough initial perturbations on the condition that the moisture index μ satisfies 0.3126 < μ < 0.3504. The perturbations represent some kind of anthropogenic influence and natural factors. The results obtained by CNOPs, LSVs and Lyapunov vectors (LVs) are compared to analyze the nonlinear feature of the transition between the grassland state and the desert state. Besides this, it is shown that the five-variable model is superior to the three-variable model in providing more visible signals when the transitions occur.
Nonlinearly combined impacts of initial perturbation from human activities and parameter perturbation from climate change on the grassland ecosystem
G. Sun,M. Mu
Nonlinear Processes in Geophysics (NPG) , 2011,
Abstract: Human activities and climate change are important factors that affect grassland ecosystems. A new optimization approach, the approach of conditional nonlinear optimal perturbation (CNOP) related to initial and parameter perturbations, is employed to explore the nonlinearly combined impacts of human activities and climate change on a grassland ecosystem using a theoretical grassland model. In our study, it is assumed that the initial perturbations and parameter perturbations are regarded as human activities and climate change, respectively. Numerical results indicate that the climate changes causing the maximum effect in the grassland ecosystem are different under disparate intensities of human activities. This implies the pattern of climate change is very critical to the maintenance or degradation of grassland ecosystem in light of high intensity of human activities and that the grassland ecosystem should be rationally managed when the moisture index decreases. The grassland ecosystem influenced by the nonlinear combination of human activities and climate change undergoes abrupt change, while the grassland ecosystem affected by other types of human activities and climate change fails to show the abrupt change under a certain range of perturbations with the theoretical model. The further numerical analyses also indicate that the growth of living biomass and the evaporation from soil surface shaded by the wilted biomass may be crucial factors contributing to the abrupt change of the grassland equilibrium state within the theoretical model.
Jinlong Capsule combined with transarterial chemoembolization in treatment of gastric cancer with liver metastasis
Bao-mu SUN
Zhong Xi Yi Jie He Xue Bao , 2008,
Abstract:
Acupuncture versus metoclopramide in treatment of postoperative gastroparesis syndrome in abdominal surgical patients: a randomized controlled trial
Bao-mu Sun
Zhong Xi Yi Jie He Xue Bao , 2010,
Abstract: Background: Postoperative gastroparesis syndrome (PGS) is a common complication after abdominal surgery in patients with primary liver cancer. However, surgeons usually do not have effective treatment for them. Objective: To explore the effects of acupuncture applied to Zusanli and other acupoints on PGS in patients after abdominal surgery.Design, setting, participants and interventions: Sixty-three PGS patients of abdominal surgery, from Eastern Hepatobiliary Surgical Hospital, were randomized into acupuncture group (32 cases) and metoclopramide group (31 cases). The patients in acupuncture group were treated with acupuncture applied to Zusanli and other acupoints once a day, while the patients in metoclopramide group were intramuscularly injected 20 mg metoclopramide three times a day.Main outcome measures: Volume of gastric drainage, number of treatment and cure rate in the two groups were measured and evaluated.Results: Acupuncture and metoclopramide could significantly reduce gastric drainage volume. In acupuncture group, the cure rate was 90.6% and the number of treatment was 6.58±4.26, while in metoclopramide group, the cure rate and the number of treatment were 32.3% and 10.13±3.60 respectively. There were significant differences in gastric drainage volume, cure rate and number of treatment between the two groups (P<0.05, P<0.01).Conclusion: Acupuncture is a good treatment for PGS, with fewer treatments, high cure rate and rapid effect.
Distributed Real-Time Emulation of Formally-Defined Patterns for Safe Medical Device Control
Mu Sun,José Meseguer
Electronic Proceedings in Theoretical Computer Science , 2010, DOI: 10.4204/eptcs.36.9
Abstract: Safety of medical devices and of their interoperation is an unresolved issue causing severe and sometimes deadly accidents for patients with shocking frequency. Formal methods, particularly in support of highly reusable and provably safe patterns which can be instantiated to many device instances can help in this regard. However, this still leaves open the issue of how to pass from their formal specifications in logical time to executable emulations that can interoperate in physical time with other devices and with simulations of patient and/or doctor behaviors. This work presents a specification-based methodology in which virtual emulation environments can be easily developed from formal specifications in Real-Time Maude, and can support interactions with other real devices and with simulation models. This general methodology is explained in detail and is illustrated with two concrete scenarios which are both instances of a common safe formal pattern: one scenario involves the interaction of a provably safe pacemaker with a simulated heart; the other involves the interaction of a safe controller for patient-induced analgesia with a real syringe pump.
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