具有一类阶段性“竹子-大熊猫”系统的稳定性分析（英文）

在本文中,给出一个关于大熊猫、成熟的竹子和延迟成熟的竹子的三维模型.分析模型的绝对的稳定性和Hopf分支,得到绝对稳定的充分条件.它表明延迟T是局部稳定的,证明了时间延迟可能动摇正的平衡点,并在一定条件下发生Hopf分岔.此外,一些数值模拟表明我们的模型可以在复杂的多种形式出现周期振荡.     

厌氧消化过程的非模型控制

对废水淤泥的厌氧消化处理过程进行了研究．提出了一种基于神经网络的非模型控制方法。多变量控制系统的操作变量为供热量和进水量．被控变量为消化温度和消化污泥排出浓度。证明了控制算法的收敛性。讨论了控制系统的稳定性。仿真结果证实了非模型控制方法的有效性。该方法无需对象的模型．为复杂生化过程的控制提供了一种新途径。     

猫18区简单细胞感受野的时空结构

通过测量感受野内不同空间位置的时间传递函数,研究了猫18区简单细胞感受野的时空结构.不同位置在时间特性上的差异主要表现在绝对相移上.绝对相移与位置的关系有两类:一类随位置变化绝对相移呈现连续性改变;另一类随位置变化绝对相移发生180度跳变.将频域特性进行反Fourier变换可得到感受野在时空域的表达.连续变化型的时间特性和空问特性不能分离,其时空结构倾斜.跳变型的时空特性可以分离,在时空平面内不具有倾斜结构.根据感受野内不同位置的绝对相移可以预测神经元的最佳运动方向和最佳空间频率.     

自控与受控棉田生态系统稳定性的比较

1　前　言稳定性是生物种群、群落与生态系统研究的重要内容之一。稳定性是预测和调控一个系统的基础。棉田生态系统稳定性的研究对于指导棉田生态系统的优化管理 ,对于棉田系统生产力的稳定提高和持续发展具有非常重要的意义。然而 ,生态学的稳定性研究在概念、度量指标 (或称研究方法 )上至今仍未统一[1,2 ],因而研究结果也不一致。Ｗｅｂｓｔｅｒ等[3]认为 ,生态学家关心的不是生态学的系统是否稳定 ,而是系统有多么稳定 ,即稳定的相对程度 ,并提出了绝对稳定性概念(判断是否稳定 )和相对稳定性概念 (判断相对稳定程度 )。其相对稳定性意…     

宏观生物经济系统线性二次型问题的稳定性分析

本文用控制方法研究宏观生物经济系统,对其进行了线性二次型最优控制设计,给出了该系统的线性二次型问题模型,并对其稳定性进行分析,利用李雅普诺夫稳定性定理,证明了该控制设计的最优控制系统是大范围稳定的,从而得到了该系统在线性二次型控制下保持生物产业经济稳定增长的结论,最后通过仿真验证了结论的正确性．     

用圆二色谱法测定齐墩果酸的绝对构型

用圆二色谱法(circular dichroism,CD)测定苦丁茶(Ilex kudincha C.J.Tseng)中齐墩果酸(化合物1)的绝对构型。采用CD-HPLC联用技术,以70%甲醇/水做流动相,测定了齐墩果酸的绝对构型。结果从苦丁茶中分离得到的齐墩果酸的绝对构型为17 S。     

猪组织中miR-103实时定量PCR分析时合适内参的确定

定量实时PCR是miRNA表达检测的主要方法之一,而利用合适内参对定量实时PCR数据进行校正处理是确保该方法分析准确性的关键.为了确定猪正常组织中miR-103定量实时PCR检测分析的合适内参,首先采用geNorm算法和扩增效率试验对miR-196、U6 snRNA和总RNA 3个候选内参进行了评价;然后以miR-103的绝对定量结果为对照,比较分析了3个候选内参的校正准确性．结果表明,miR-196的表达稳定性和扩增效率均优于U6 snRNA和总RNA;以miR-196为内参的miR-103相对定量结果同绝对定量结果具有较高的一致性,两者均显示miR-103在猪大脑中高丰度表达,在胃、小脑、小肠、心脏、肝脏和胰脏中适度表达,在肺、脾脏和腿肌中轻度表达.这些结果说明,miR-196可作为猪正常组织中miR-103定量实时PCR相对定量分析的一个合适内参.     

雄激素调控鸣禽鸣唱核团对鸣唱行为影响

鸣禽的鸣唱是一种习得性行为,它由脑内离散的神经核团所控制,这些核团相互关联构成鸣唱控制系统.鸣禽体内的性激素可以通过调控鸣唱系统来影响鸣唱行为.研究表明性激素中的雄激素在调节鸣唱稳定性方面发挥关键作用.雄激素可以通过调控细胞增殖、神经元电生理特性、突触传递及相关受体来影响鸣唱控制核团进而导致鸣唱行为改变.本文主要集中在雄激素对鸣禽鸣唱行为调控作用的神经机制研究进展进行论述.     

时滞微生物连续培养动力系统稳定性收敛速度的研究

讨论了具有时滞微生物连续培养动力系统的稳定性和α-稳定性.应用时滞系统稳定性切换几何判据法研究了系统的线性稳定性和α-稳定性,并比较这两个稳定性的区别与联系.最后应用数值模拟验证结论的准确性和有效性.     

绝对定量的多聚酶链式反应技术的发展现状及其生物医学应用

自1985年Mullis发明了体外多聚酶链反应(PCR)至今,PCR已经发展到第三代技术,即绝对定量的数字化PCR.PCR技术自问世以来,在遗传病、病原体、癌基因等分子诊断领域和法医鉴定等方面发挥了巨大作用.本文简要介绍了PCR技术的发展历程,综述和讨论了绝对定量的数字化PCR的技术路线和应用进展,总结提出了其进一步发展面临的问题,并展望了数字PCR技术在生物医学方面的发展前景.     

一个时滞微分系统的稳定性与Hopf分支

给出了一个三维时滞微分系统的平衡点的全时滞稳定的代数判据。也讨论并给出了这个系统存在Hopf分支的条件,两个例子说明了本文定理的应用。     

Absolute stability in predator-prey models

An equilibrium of a time-lagged population model is said to be absolutely stable if it remains locally stable regardless of the length of the time delay, and it is argued that the criteria for absolute stability provide a valuable guide to the behavior of population models. For example, it is sometimes assumed that time delays have a limited impact until they exceed the natural time scale of a system; here it is stressed that under some conditions very short time delays can have a marked (and often maximal) destabilizing effect. Consequently it is important that our understanding of population dynamics is robust to the inclusion of the short time delays present in all biological systems. The absolute stability criteria are ideally suited for this role. Another important reason for using the criteria for absolute stability rather than using criteria which depend upon the details of a time delay is that biological time delays are unlikely to be constant. For example, a time delay due to maturation inevitably varies between individuals and the mean may itself vary over time. Here it is shown that the criteria for absolute stability are generally robust in the presence of distributed delays and of varying delays. The analysis presented is based upon a general predator-prey model and it is shown that absolute stability can be expected under a broad range of parameter values whenever the time delay is due to the maturation time of either the predator or the prey or of both. This stability occurs because of the interaction between delayed and undelayed dynamic features of the model. A time-delayed process, when viewed across all possible delays, always reduces stability and this effect occurs regardless of whether the process would act to stabilize or destabilize an undelayed system. Opposing the destabilization due to a time delay and making absolute stability a possibility are a number of processes which act without delay. Some of these processes can be identified as stabilizing from the analysis of undelayed models (for example, the type 3 functional response) but other cannot (for example, the nonreproductive numerical response of predators).     

Absolute stability and transitions in ecosystems with a multiplicity of stable states and dispersal

The principle that for a large class of spatially extended dynamic systems with several locally stable states there exists at most one absolutely stable state is applied to population dynamical models with diffusive spatial dispersal. The basic concepts and methods to characterize absolute stability and its limits are presented. Some interesting results concerning the significance of dispersal ability in competing and mutualistic systems are found. The concepts appear of practical importance since only absolutely stable states are resilient against all localized fluctuations and disturbances.     

Stability performance ofCynara cardunculus L. acid protease in aqueous-organic biphasic systems

Stability performance of the acid protease ofCynara cardunculus L. in biphasic systems containing ethyl acetate,n-hexane or isooctane was investigated and compared with that of pepsin. Activity retention was higher in the system containingn-hexane. In this system 100% retention was observed up to 144 hours. Pre-saturation of phases was found to increase enzyme stability in the cases ofn-hexane and isooctane and to be an absolute requirement in the case of ethyl acetate. The results obtained suggest also that, when dealing with pre-saturated phases, log P cannot be used straightforwardly to predict enzyme stability in biphasic systems.     

The Linnaean system and its 250-year persistence

The Linnaean system of nomenclature has been used and adapted by biologists over a period of almost 250 years. Under the current system of codes, it is now applied to more than 2 million species of organisms. Inherent in the Linnaean system is the indication of hierarchical relationships. The Linnaean system has been justified primarily on the basis of stability. Stability can be assessed on at least two grounds: the absolute stability of names, irrespective of taxonomic concept; and the stability of names under changing concepts. Recent arguments have invoked conformity to phylogenetic methods as the primary basis for choice of nomenclatural systems, but even here stability of names as they relate to monophyletic groups is stated as the ultimate objective. The idea of absolute stability as the primary justification for nomenclatural methods was wrong from the start. The reasons are several. First, taxa are concepts, no matter the frequency of assertions to the contrary; as such, they are subject to change at all levels and always will be, with the consequence that to some degree the names we use to refer to them will also be subject to change. Second, even if the true nature of all taxa could be agreed upon, the goal would require that we discover them all and correctly recognize them for what they are. Much of biology is far from that goal at the species level and even further for supraspecific taxa. Nomenclature serves as a tool for biology. Absolute stability of taxonomic concepts—and nomenclature—would hinder scientific progress rather than promote it. It can been demonstrated that the scientific goals of systematists are far from achieved. Thus, the goal of absolute nomenclatural stability is illusory and misguided. The primary strength of the Linnaean system is its ability to portray hierarchical relationships; stability is secondary. No single system of nomenclature can ever possess all desirable attributes: i.e., convey information on hierarchical relationships, provide absolute stability in the names portraying those relationships, and provide simplicity and continuity in communicating the identities of the taxa and their relationships. Aside from myriad practical problems involved in its implementation, it must be concluded that “phylogenetic nomenclature” would not provide a more stable and effective system for communicating information on biological classifications than does the Linnaean system.     

Absolute stability and dynamical stabilisation in predator-prey systems

Many ecological systems exhibit multi-year cycles. In such systems, invasions have a complicated spatiotemporal structure. In particular, it is common for unstable steady states to exist as long-term transients behind the invasion front, a phenomenon known as dynamical stabilisation. We combine absolute stability theory and computation to predict how the width of the stabilised region depends on parameter values. We develop our calculations in the context of a model for a cyclic predator-prey system, in which the invasion front and spatiotemporal oscillations of predators and prey are separated by a region in which the coexistence steady state is dynamically stabilised.     

The balance between adaptability and adaptation.

In his 1983 book, Adaptability, Michael Conrad explored the quantitative relationship between adaptability and adaptation using the conditional 'entropy' of information theory as his primary tool. The conditional entropy can be used to estimate the connectivity of the network of system exchanges, a key indicator of system stability. In fact, the May-Wigner criterion for the stability of linear dynamical systems can be recast using the conditional entropy to help identify the boundary along which adaptability and adaptation are exactly in balance-the 'edge of chaos' as it is popularly known. Real data on networks of ecosystem flows indicate that in general these systems do not exist nigh upon the edge of chaos, but rather they populate a much wider 'window of vitality' that exists between the realms of chaotic and deterministic dynamics. It appears that the magnitudes of network flows within this region are distributed in power law fashion. The theory also suggests that an absolute limit to the connectivity of natural self-organizing systems exists, at approximately 3.015 effective connections per node.     

HETEROZYGOSITY AND DEVELOPMENTAL STABILITY UNDER INBREEDING AND CROSSBREEDING IN PINUS ATTENUATA

The relationship between stability of annual trunk growth and heterozygosity at 24 polymorphic isozyme loci was studied in 10-year-old trees of knobcone pine (Pinus attenuata Lemm.) that were the products of contrasting systems of mating, self-, and interpopulation cross-pollination. Heterozygosity and variability of trunk growth were strongly related only when inbreds and crossbreds were compared; the crossbreds showed greater residual variability on an absolute scale, and greater responsiveness to climate on both absolute and relative scales. Within the inbreds there was no evidence of a relationship between heterozygosity and variability. Within the crossbreds, only one trait, a measure of relative trunk growth rate, showed a relationship with heterozygosity, and indicated greater variability of the more heterozygous trees. These results, and others in the literature, suggest that the relationship of heterozygosity to homeostasis for fitness components is neither simple nor monotonic; it varies between scales of measurement, genetic backgrounds, and environments.     

Absolute Sustainability‐Based Life Cycle Assessment (ASLCA): A Benchmarking Approach to Operate Agri‐food Systems within the 2°C Global Carbon Budget

Given the increasing environmental impacts associated with global agri‐food systems, operating and developing these systems within the so‐called absolute environmental boundaries has become crucial, and hence the absolute environmental sustainability concept is particularly relevant. This study introduces an approach called absolute sustainability‐based life cycle assessment (ASLCA) that informs the climate impacts of an agri‐food system (on any economic level) in absolute terms. First, a global carbon budget was calculated that is sufficient to limit global warming to below 2°C. Next, a share of the carbon budget available to the global agri‐food sector was estimated, and then it was shared between agri‐food systems on multiple economic levels using four alternative methods. Third, the climate impacts of those systems were calculated using life cycle assessment methodology and were benchmarked against those carbon budget shares. This approach was used to assess a number of New Zealand agri‐food systems (agri‐food sector, horticulture industries and products) to investigate how these systems operated relative to their carbon budget shares. The results showed that, in 2013, the New Zealand agri‐food systems were within their carbon budget shares for one of the four methods, and illustrated the scale of change required for agri‐food systems to perform within their carbon budget shares. This method can potentially be extended to consider other environmental impacts with global boundaries; however, further development of the ASLCA is necessary to account for other environmental impacts whose boundaries are only meaningful when defined at a regional or local level.