7 resultados para First-episode psychosis

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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下载PDF阅读器目的 利用功能磁共振(fMRI)和局部一致性(regional homogeneity,ReHo)探讨抑郁症首次发病(以下简称首发)患者在静息态脑功能是否存在异常及异常部位.方法 对34例符合美国精神疾病诊断与统计手册第4版诊断标准的首发抑郁症患者(抑郁症组)和34名性别、年龄、文化程度匹配的健康志愿者(对照组)进行静息态fMRI扫描.结果 抑郁症组静息态脑血氧水平依赖信号的ReHo高于对照组的脑区有左侧额叶眶回、顶下小叶、颞上回,右侧额内侧回、顶下小叶、小脑后叶;低于对照组的脑区有左颞下回、右颞上同和胼胝体、双侧后扣带回(P<0.005,K≥10).结论首发抑郁症患者在静息态存在多个腩区功能活动的异常,并可能和抑郁症的病理机制有关.

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In Dongpu depression, there are obviously overpressure phenomena below 2000-3200m. Research to the relationship between sedimentation-diagenesis and overpressure of reservoirs is in great need. In this paper, after analyzing and simulating the overpressure in Wendong, Qiaokou and Baimiao regions, we draw a conclusion that the fast sedimentation since Low Tertiary is one of the most important mechanisms for the formation of overpressure in Dongpu Depression. The gypsum in northern part of Dongpu Depression is the good seal for the development of overpressure. On the base of detailed work to the distribution and magnitude of overpressure in Wen-qiao-Bai regions, we selected several wells that have different overpressure to find the sedimentary and diagenetic differences of these wells. We find that compaction is obviously inhibited in overpressured reservoirs, which results in the linear relation between physical properties of reservoirs and sedimentary parameters, such as sorting coefficient, the content of matrix, etc. Reservoirs with great magnitude of overpressure have undergone more extensive erosion than the ones with low magnitude of overpressure, which probably is the result of the great solubility of CO_2 under high pressure. The great burial depth, the high content of matrix and the extensively developed cement of carbonate are the most important factors that influence the physical properties of reservoirs in Dongpu depression. Overpressure plays a constructive role in the physical properties of reservoirs. the overpressured reservoirs of Es_3~3 subsection in Wendong region are probably the ones that have good physical properties. From homogenetic temperatures that obtained form the fluid inclusions in quartz overgrowth, we find that there were 4 episodes of fluid flows in Dongpu depression. In conjunction with the analysis of the burial history of overpressured reservoirs, we draw conclusions that the first, second and third episodes of fluid flows took place in the extensive rifting stage of Dongpu Depression, the burial depth when the first episode of fluid flow took place was about 1500m, the age was about 36 my; the burial depth of the second and third episodes of fluid flow was between 1800-3000m at that time, the age was between 35-28my. The fluid flows of the second, third, and fourth episodes were in close relation to the overpressure and maybe were the results of the episodic hydrofracturing of overpressured mudstones and shales. The episodic fluid flow of overpressured mudstones and shales probably facilitates the cementation of carbonate, which decreases the physical properties of overpressured reservoirs. The dolomites and ferrodolomites maybe the products of the episodic hydrofracturing of overpressured mudstones and shales.

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The optimal bounded control of quasi-integrable Hamiltonian systems with wide-band random excitation for minimizing their first-passage failure is investigated. First, a stochastic averaging method for multi-degrees-of-freedom (MDOF) strongly nonlinear quasi-integrable Hamiltonian systems with wide-band stationary random excitations using generalized harmonic functions is proposed. Then, the dynamical programming equations and their associated boundary and final time conditions for the control problems of maximizinig reliability and maximizing mean first-passage time are formulated based on the averaged It$\ddot{\rm o}$ equations by applying the dynamical programming principle. The optimal control law is derived from the dynamical programming equations and control constraints. The relationship between the dynamical programming equations and the backward Kolmogorov equation for the conditional reliability function and the Pontryagin equation for the conditional mean first-passage time of optimally controlled system is discussed. Finally, the conditional reliability function, the conditional probability density and mean of first-passage time of an optimally controlled system are obtained by solving the backward Kolmogorov equation and Pontryagin equation. The application of the proposed procedure and effectiveness of control strategy are illustrated with an example.

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An n degree-of-freedom Hamiltonian system with r (1¡r¡n) independent 0rst integrals which are in involution is calledpartially integrable Hamiltonian system. A partially integrable Hamiltonian system subject to light dampings andweak stochastic excitations is called quasi-partially integrable Hamiltonian system. In the present paper, the procedures for studying the 0rst-passage failure and its feedback minimization of quasi-partially integrable Hamiltonian systems are proposed. First, the stochastic averaging methodfor quasi-partially integrable Hamiltonian systems is brie4y reviewed. Then, basedon the averagedIt ˆo equations, a backwardKolmogorov equation governing the conditional reliability function, a set of generalized Pontryagin equations governing the conditional moments of 0rst-passage time and their boundary and initial conditions are established. After that, the dynamical programming equations and their associated boundary and 0nal time conditions for the control problems of maximization of reliability andof maximization of mean 0rst-passage time are formulated. The relationship between the backwardKolmogorov equation andthe dynamical programming equation for reliability maximization, andthat between the Pontryagin equation andthe dynamical programming equation for maximization of mean 0rst-passage time are discussed. Finally, an example is worked out to illustrate the proposed procedures and the e9ectiveness of feedback control in reducing 0rst-passage failure.

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The first-passage failure of quasi-integrable Hamiltonian si-stems (multidegree-of-freedom integrable Hamiltonian systems subject to light dampings and weakly random excitations) is investigated. The motion equations of such a system are first reduced to a set of averaged Ito stochastic differential equations by using the stochastic averaging method for quasi-integrable Hamiltonian systems. Then, a backward Kolmogorov equation governing the conditional reliability function and a set of generalized Pontryagin equations governing the conditional moments of first-passage time are established. Finally, the conditional reliability function, and the conditional probability density and moments of first-passage time are obtained by solving these equations with suitable initial and boundary conditions. Two examples are given to illustrate the proposed procedure and the results from digital simulation are obtained to verify the effectiveness of the procedure.

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The first-passage time of Duffing oscillator under combined harmonic and white-noise excitations is studied. The equation of motion of the system is first reduced to a set of averaged Ito stochastic differential equations by using the stochastic averaging method. Then, a backward Kolmogorov equation governing the conditional reliability function and a set of generalized Pontryagin equations governing the conditional moments of first-passage time are established. Finally, the conditional reliability function, and the conditional probability density and moments of first-passage time are obtained by solving the backward Kolmogorov equation and generalized Pontryagin equations with suitable initial and boundary conditions. Numerical results for two resonant cases with several sets of parameter values are obtained and the analytical results are verified by using those from digital simulation.

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A procedure for designing the optimal bounded control of strongly non-linear oscillators under combined harmonic and white-noise excitations for minimizing their first-passage failure is proposed. First, a stochastic averaging method for strongly non-linear oscillators under combined harmonic and white-noise excitations using generalized harmonic functions is introduced. Then, the dynamical programming equations and their boundary and final time conditions for the control problems of maximizing reliability and of maximizing mean first-passage time are formulated from the averaged Ito equations by using the dynamical programming principle. The optimal control law is derived from the dynamical programming equations and control constraint. Finally, the conditional reliability function, the conditional probability density and mean of the first-passage time of the optimally controlled system are obtained from solving the backward Kolmogorov equation and Pontryagin equation. An example is given to illustrate the proposed procedure and the results obtained are verified by using those from digital simulation. (C) 2003 Elsevier Ltd. All rights reserved.