模糊间接仿生自适应控制

针对一类不确定非线性系统,提出将生物个体对外界环境的适应对策引入到间接模糊自适应控制方法.本方法的特点是将生物个体的主动自适应性与模糊控制相结合,将反应生物特性能力的结构单位生态位作为模糊规则后件,利用生物的自适应来设计控制器和自适应律,使系统在外界环境的扰动下具有主动适应性.根据Lyapunov稳定性理论,证明闭环系统的全局稳定性.最后对肌型血管系统进行了仿真,结果证明了该方法的有效性和可行性.     

含有食饵自庇护的食饵-捕食模型的模糊滑模控制

针对一类令布食饵自虞护的食饵-捕食系统,当环境变化时,系统参数的扰动处于动态状态,利用其扰动边界的特性,通过设计模糊滑模控制器将失控系统引至平稳轨道,并使系统全局稳定,从理论上实现了失控系统的有效控制,为防治食饵种群灭绝,引起食物链断裂,导致生态平衡破坏提供了一定的理论依据．最后的仿真结果表明了此方法在理论上的有效性．     

具有潜伏和隔离的传染病模型的全局稳定性

研究了一类具有隔离仓室和潜伏仓室的非线性高维自治微分系统SEQIJR传染病模型,得到疾病绝灭与否的阀值一基本再生数R0．证明了当R0≤1时,模型仅存在无病平衡点,且无病平衡点是全局渐近稳定的,疾病最终绝灭;当R0〉1时,模型存在两个平衡点,无病平衡点不稳定,地方病平衡点全局渐近稳定,疾病将持续．隔离措施影响着基本再生数,进而推得结论：适当地增大隔离强度,将有益于有效地控制疾病的蔓延．这就从理论上揭示了隔离对疾病控制的积极作用．     

心肌梗塞病人整体护理的健康教育

心肌梗塞的主要病理基础是冠状动脉发生粥样硬化,使其血管变窄、内壁增厚,导致血栓形成、栓塞冠状动脉,进而造成心肌缺血、缺氧而发生组织坏死。心肌梗塞作为高发病率、高致残率、和高死亡率已经严重的威胁着人类的健康。心肌梗塞作为心脑血管疾病顽疾之一。近年来发病率和死亡率有明显的上升趋势。从2012年1月-2012年12月48例病人在入院,住院治疗,护理康复过程中进行针对性健康教育,以提高心肌梗塞的认知率,从而减少心梗的复发率。     

血栓形成后大鼠腹主动脉收缩和舒张功能和变化

血栓形成后大鼠腹主动脉收缩和舒张功能和变化＊徐晖朱妙章裴建明臧益民韩海潮１（第四军医大学生理学教研室,西安７１００３２;１西安交通大学生物力学研究室）血栓形成是心血管系统的主要病变之一,可导致临床许多疾病,如心肌梗塞、脑梗塞和弥漫性血管内凝血等,是引...     

自噬对血管功能的影响及与相关疾病的关联研究进展

自噬(autophagy)是细胞利用溶酶体降解自身受损的细胞器和大分子物质的过程,在稳定细胞内环境中发挥着重要作用．研究发现,自噬影响血管功能,与血管疾病的病理生理进程密切相关．本文从自噬对血管功能的影响,与血管相关疾病(如动脉粥样硬化、腹主动脉瘤、肺动脉高压、糖尿病血管并发症等)的关系及药物对血管壁细胞自噬的调控进行综述,希望从自噬的角度来了解血管的功能和病变及一些疾病的发生发展进程,为治疗血管相关疾病提供新的思路．     

吸烟导致微循环血流不畅(摘要)

经过对近三万人的观察,首次报导吸烟致微循环改变观察所见.一、使微循环血管普遍性痉挛(瞬间)甚至部分关闭、停流.二、微循环血管扭曲、迂曲形成“”字形等特征性改变.三、微循环血管变狭窄、长度缩短.四、微循环血管管径改变后改变了血液流变学的正常特征.五、可引起一系列微循环不畅所引起的疾病,如高血压、心脑血管性疾病、冠心、心肌梗塞、肺部疾病、癌症、脉管炎、消化道溃疡等等。甚至吸烟的妇女对其后代也有影响.六、见于以上述情况,吸烟对自己对别人的健康都是有损害的.     

Apelin/APJ：血管功能调节因子和药物治疗新靶点

Apelin(APJendogenousligand)是血管紧张素Ⅱ1型受体相关蛋白(angiotensin receptor-like 1,APJ)的内源性配体.Apelin/APJ系统在机体内广泛分布,在众多血管系统表达水平较高,如心血管系统、肺血管系统等.研究发现,apelin可调节血管张力,促进血管平滑肌细胞增殖、视网膜血管新生以及单核细胞向内皮细胞黏附,促进肝门静脉和冠状动脉侧枝形成等.本文就apelin调节血管功能及其相关疾病(高血压、肺动脉高压、动脉粥样硬化、胶质瘤、肺癌、门静脉高压、糖尿病血管并发症等)进行综述,揭示了apelin与血管及其相关疾病的内在联系,表明apelin/APJ可作为血管疾病的治疗靶点.     

骨髓基质细胞移植促进心肌梗塞后血管新生机制的研究

目的:通过研究不同时期心肌梗塞区血管生长因子的表达,探讨骨髓基质细胞移植促进心肌梗塞后血管新生的机制.方法:将急性心肌梗塞大鼠随机分为2组.实验组在梗塞后28 d,将同种异体骨髓基质细胞注射到心肌梗塞区.对照组仅注射无血清的培养液.在梗塞后的不同时期取标本动态观察梗塞区VEGF、bFGF的表达和血管新生状况.结果:骨髓基质细胞移植入梗塞区后主要分化为成纤维细胞和血管内皮细胞.实验组心肌梗塞区新生毛细血管数目较对照组明显增加(14±4.7/HPF vs 6±2.4/HPF P＜0.05).对照组梗塞区VEGF和bFGF的表达在梗塞后7 d达高峰,28 d开始下降,第42 d和56 d时表达明显下降.而实验组二者的表达在心肌梗塞后第42 d和56 d明显高于对照组.结论:骨髓基质细胞通过分化为内皮细胞以及促进梗塞区VEGF和bFGF的持续高表达,对血管新生起积极作用.     

一种由藤黄微球菌产生的纤溶酶

血栓栓塞性疾病如心肌梗塞、脑栓塞等是危害人类健康、导致死亡率最高的疾病之一.全球每年约1 700万人死于心脑血管病,我国每年约有300万人死于此类疾病.治疗此类疾病的主要手段之一是溶栓疗法,即注射溶栓剂疏通血管,但传统的溶栓药物如t-PA、尿激酶等有半衰期短、使用量大、价格昂贵、易引发出血症等不良副作用,因此开发新型溶栓类药物,提供廉价高效、副作用小、使用方便的溶栓药物,对栓塞性疾病的治疗具有重要意义.     

Anisotropic adaptive finite element method for modelling blood flow

In this study, we present an adaptive anisotropic finite element method (FEM) and demonstrate how computational efficiency can be increased when applying the method to the simulation of blood flow in the cardiovascular system. We use the SUPG formulation for the transient 3D incompressible Navier–Stokes equations which are discretised by linear finite elements for both the pressure and the velocity field.

Given the pulsatile nature of the flow in blood vessels we have pursued adaptivity based on the average flow over a cardiac cycle. Error indicators are derived to define an anisotropic mesh metric field. Mesh modification algorithms are used to anisotropically adapt the mesh according to the desired size field. We demonstrate the efficiency of the method by first applying it to pulsatile flow in a straight cylindrical vessel and then to a porcine aorta with a stenosis bypassed by a graft. We demonstrate that the use of an anisotropic adaptive FEM can result in an order of magnitude reduction in computing time with no loss of accuracy compared to analyses obtained with uniform meshes.     

On the applicability of the decentralized control mechanism extracted from the true slime mold: a robotic case study with a serpentine robot

A systematic method for an autonomous decentralized control system is still lacking, despite its appealing concept. In order to alleviate this, we focused on the amoeboid locomotion of the true slime mold, and extracted a design scheme for the decentralized control mechanism that leads to adaptive behavior for the entire system, based on the so-called discrepancy function. In this paper, we intensively investigate the universality of this design scheme by applying it to a different type of locomotion based on a 'synthetic approach'. As a first step, we implement this design scheme to the control of a real physical two-dimensional serpentine robot that exhibits slithering locomotion. The experimental results show that the robot exhibits adaptive behavior and responds to the environmental changes; it is also robust against malfunctions of the body segments due to the local sensory feedback control that is based on the discrepancy function. We expect the results to shed new light on the methodology of autonomous decentralized control systems.     

Anisotropic adaptive finite element method for modelling blood flow

In this study, we present an adaptive anisotropic finite element method (FEM) and demonstrate how computational efficiency can be increased when applying the method to the simulation of blood flow in the cardiovascular system. We use the SUPG formulation for the transient 3D incompressible Navier-Stokes equations which are discretised by linear finite elements for both the pressure and the velocity field. Given the pulsatile nature of the flow in blood vessels we have pursued adaptivity based on the average flow over a cardiac cycle. Error indicators are derived to define an anisotropic mesh metric field. Mesh modification algorithms are used to anisotropically adapt the mesh according to the desired size field. We demonstrate the efficiency of the method by first applying it to pulsatile flow in a straight cylindrical vessel and then to a porcine aorta with a stenosis bypassed by a graft. We demonstrate that the use of an anisotropic adaptive FEM can result in an order of magnitude reduction in computing time with no loss of accuracy compared to analyses obtained with uniform meshes.     

Adaptive torsion-angle quasi-statics: a general simulation method with applications to protein structure analysis and design

MOTIVATION: The cost of molecular quasi-statics or dynamics simulations increases with the size of the simulated systems, which is a problem when studying biological phenomena that involve large molecules over long time scales. To address this problem, one has often to either increase the processing power (which might be expensive), or make arbitrary simplifications to the system (which might bias the study). RESULTS: We introduce adaptive torsion-angle quasi-statics, a general simulation method able to rigorously and automatically predict the most mobile regions in a simulated system, under user-defined precision or time constraints. By predicting and simulating only these most important regions, the adaptive method provides the user with complete control on the balance between precision and computational cost, without requiring him or her to perform a priori, arbitrary simplifications. We build on our previous research on adaptive articulated-body simulation and show how, by taking advantage of the partial rigidification of a molecule, we are able to propose novel data structures and algorithms for adaptive update of molecular forces and energies. This results in a globally adaptive molecular quasi-statics simulation method. We demonstrate our approach on several examples and show how adaptive quasi-statics allows a user to interactively design, modify and study potentially complex protein structures.     

Metabolic control theory: a structural approach

In the general framework of metabolic control theory, we describe a method of mathematical modelling that provides a way of analysing the sensitivity of a metabolic system to perturbations of the environment or of the internal state of this system. The method can be applied to any metabolic system, involving for instance conservation relationships, non-specific external parameters, etc., and leads in particular to a characterization of the control matrices and to a generalization of the summation and connectivity theorems. In this paper, we emphasize the structural characterizations and properties of the systems which depend only on the structure of the metabolic network, and not on the reaction kinetics. The advantage of this approach lies of course in the fact that the structure of the metabolic network is an invariant of the system which depends neither on the environment nor on the internal state of this system. The aim of this paper is to show the efficiency of such a structural approach.     

Dynamic behavior of the adaptive control system, hypothalamus--anterior pituitary--adrenal cortex. Animal experimental study of the adequate system dynamics of the direct and indirect parameters of the adaptive control system]

The dynamic response of the adaptive closed-loop control system hypothalamus-anterior pituitary-adrenal cortex after application of short-time disturb pulses were examined experimentally in the pig. Blood sampling was performed biologically non-reactive by chronically implanted vascular catheters in the upper vena cava. A circadian biphase periodical dynamics characterizes the distrubance response of the adaptive control system, respectively, its direct and indirect parameters. After distrubance variables induced initial excess the plasma corticosteriods undershoot the basic level over a long period. Conversely, the dynamics of the eosinophils is determined through an initial eosinopenic phase and a subsequent typical overshoot. Periodical dynamic is absent in the steady state. The controller of the adaptive system does not show any spontaneous activity in the steady state without stress. The absence of an endogenic periodicity of the dependent parameters likewise gives evidence of an active oscillator. On the other hand, the controlling unit of the adaptive system constitutes a control response of circadian periodicty after activation by disturbance variables in pulse shape. The high damping of the control system terminates the transient state within 24 hours, and the corticosteriods and the eosinophils reach the steady state level. This control quality of the adaptive control system gains a high importance in the origination of the spontaneous circadian periodicity by corticosteriods and eosinophils and for the biological compensation of exogenous distrubance variables.     

Endotoxin Neutralization as a Biomonitor for Inflammatory Bowel Disease

Gram-negative bacterial endotoxin is a potent immunostimulant implicated in the development and/or progression of a variety of diseases. The mammalian immune system has both innate and adaptive immune responses to neutralize endotoxin. In this study, a system was developed to monitor bacterial exposure by measuring the extent and nature of endotoxin neutralization in plasma. In control patients, females had higher levels of endotoxin neutralization than males, mirroring clinical outcomes from bacterial infection and sepsis. In addition to the total amount of neutralization, we used inactivation techniques to elucidate the nature of this activity and develop a system to compare early and late immune responses. Using this method to monitor patients with inflammatory bowel disease, we found a more robust total response that relies more on long-term, adaptive components of the immune system and less on early, innate components. Our results indicate that endotoxin neutralization is a valuable method to discern inflammatory bowel disease patients from a control population. Additionally, the nature of neutralization may be valuable in monitoring disease severity and/or the role of medication.     

Smooth muscle-specific expression of SV40 large TAg induces SMC proliferation causing adaptive arterial remodeling

To study the effects of enhanced smooth muscle cell (SMC) proliferation on arterial vessel geometry in the absence of vessel trauma, we developed a transgenic mouse model expressing SV40 large T antigen under control of the 2.3-kb smooth muscle-myosin heavy chain promoter. Transgenic mice studied at ages from 3 to 13 wk showed a 3.2-fold increase in arterial wall SMC density, with 28% of SMC exhibiting proliferative cell nuclear antigen staining, confirming enhanced SMC proliferation, which was accompanied by two- to threefold increases in arterial wall areas (P < 0.05). Remarkably, despite increased vessel wall mass, the lumen area was not compromised, but rather was increased. A tightly conserved linear relationship was found between arterial circumference and wall thickness with slopes of 0.036 for both transgenics (r = 0.93, P < 0.01) and controls (r = 0.77, P < 0.01), suggesting the hypothesis that the conservation of wall stress functions as a primary determinant of adaptive arterial remodeling. This establishes a new model of adaptive vessel remodeling occurring in response to a proliferative input in the absence of mechanical injury or primary flow perturbation.     

Chaotic neural network applied to two-dimensional motion control

Chaotic dynamics generated in a chaotic neural network model are applied to 2-dimensional (2-D) motion control. The change of position of a moving object in each control time step is determined by a motion function which is calculated from the firing activity of the chaotic neural network. Prototype attractors which correspond to simple motions of the object toward four directions in 2-D space are embedded in the neural network model by designing synaptic connection strengths. Chaotic dynamics introduced by changing system parameters sample intermediate points in the high-dimensional state space between the embedded attractors, resulting in motion in various directions. By means of adaptive switching of the system parameters between a chaotic regime and an attractor regime, the object is able to reach a target in a 2-D maze. In computer experiments, the success rate of this method over many trials not only shows better performance than that of stochastic random pattern generators but also shows that chaotic dynamics can be useful for realizing robust, adaptive and complex control function with simple rules.     

Integrative control of coronary resistance vessel tone by endothelin and angiotensin II is altered in swine with a recent myocardial infarction

Several studies have indicated an interaction between the renin-angiotensin (ANG II) system and endothelin (ET) in the regulation of vascular tone. Previously, we have shown that both ET and ANG II exert a vasoconstrictor influence on the coronary resistance vessels of awake normal swine. Here, we investigated whether the interaction between ANG II and ET exists in the control of coronary resistance vessel tone at rest and during exercise using single and combined blockade of angiotensin type 1 (AT(1)) and ET(A)/ET(B) receptors. Since both circulating ANG II and ET levels are increased after myocardial infarction (MI), we investigated if the interaction between these systems is altered after MI. In awake healthy swine, coronary vasodilation in response to ET(A)/ET(B) receptor blockade in the presence of AT(1) blockade was similar to vasodilation produced by ET(A)/ET(B) blockade under control conditions. In awake swine with a 2- to 3-wk-old MI, coronary vasodilator responses to individual AT(1) and ET(A)/ET(B) receptor blockade were virtually abolished, despite similar coronary arteriolar AT(1) and ET(A) receptor expression compared with normal swine. Unexpectedly, in the presence of AT(1) blockade (which had no effect on circulating ET levels), ET(A)/ET(B) receptor blockade elicited a coronary vasodilator response. These findings suggest that in normal healthy swine the two vasoconstrictor systems contribute to coronary resistance vessel control in a linear additive manner, i.e., with negligible cross-talk. In contrast, in the remodeled myocardium, cross-talk between ANG II and ET emerges, resulting in nonlinear redundant control of coronary resistance vessel tone.