包容生态因子的广义Logistic模型

以Ｌｏｇｉｓｔｉｃ模型为代表的种群（ｘ）生长模型,仅依赖于时间（ｔ）,Ｘ＝ｆ（ｔ）,它是表达某一环境下生物过程的数学模型,其增长率参数（μ）为常数。本文发展了一种包含生态因子的广义Ｌｏｇｉｓｔｉｃ模型,Ｘ＝ｆ（Ｐ,ｔ）,ｐ表示生态因子,认为增长率是与生态因子有关的参数：μ＝μ０ｆ（ｐ）,该模型可以概括在不同环境下种群增长的重复试验,使用作物分期播种资料,建立了水稻干物质积累过程与生育阶段（时间）、播种期、太阳辐射、温度之间的关系,结果表明：该模型可以解释干物重变异的９６．９％。     

裂叶沙参个体生长动态研究（1）：一个生长季地上部分的生长

在不同生境条件下的固定样地内,观察分析了裂叶沙参种群的地上部分在一个生长季的生长过程和物侯特点。生长于灌木群落下,裂叶沙参地上部分生物量生长（ｙ,ｇ）与时间（ｘ、ｄ）的关系可以用公式：ｙ＝０．２８７２－０．０１８７ｘ＋０．０００９ｘ＾２表示;地上各器官茎、叶、花枝、花芽、花和果的生物量（ｙ,克）与生长时间（ｘ,天）的关系可以用公式：ｙ＝ｂ０＋ｂ１ｘ＋ｂ２ｘ＾２表示。从４月１０日到８月１５日的速生期     

6—8周龄Wistar大白鼠血清尿素氮的抽样测试与统计分析

为提供大白鼠血清尿素氮正常值范围的参考，该文对６～８周龄Ｗｉｓｔａｒ大白鼠随机抽样，♀，♂各１３１只，眼底静脉丛取血，用二乙酰肟法测血清尿素氮，按统计学原理进行统计，并对总体正常值范围估计。结果，♂：ｘ±ｓ＝１２２３±３３０μ±Ｓｘ＝１２２３±０２９，μ的可信区间估计为１１６５～１２８１（９５％可信度）和１１５５～１２９１（９９％可信度），正常值范围估计为６４～１９３（含９５％总体）和５１～２１７（含９９％总体）；♀：ｘ±ｓ＝１３３５±３１０，μ±Ｓｘ＝１３３５±０２７，μ的可信区间估计１２８１～１３８９（９５％可信度）和１２７１～１３９９（９９％可信度），正常值范围估计为７４～１９２（含９５％总体）和５８～２１４（含９９％总体），单位均为ｍｍｏｌ／Ｌ，性别间有显著性差异。结果可作为科研，教学等的大白鼠血清尿素氮正常值的参考。     

大熊猫生命表及相关数据指标的修订

１９８９年魏辅文等根据野外获得的大熊猫头骨标本及其牙齿切片的年龄鉴定,编制出大熊猫的生命表。该生命表编制的局限性引起了争议（Ｈａｒｒｉｓ等,１９９３）。因此,根据岷山和邛崃两大山系野生大熊猫年龄结构观察值,结合所获大熊猫头骨标本的年龄结构,在分析论证岷山、邛崃两大山系的大熊猫有稳定的年龄结构的基础上,运用动物种群年龄颁密度函数关系式ｆ（ｘ）＝βｅ＾－βｘ（侯万儒等,１９９８）计算出各年龄大熊猫在种     

模块神经网络及其性能

提出一个不同于实现ｙ＝ｆ（ｘ）的ＢＰ网络的神经网络模型,给出了网络的结构及并行动力学方程,证明了其动力学的稳定性。通过学习算法的建立,证明网络能精确实现输入矢量对（ｘ,ｙ）映入成相联系的输出矢量ｚ,最重要的是网络能同时存诸依时变化的时序模式与静态模式。此外并给出动力学学习算法,证明此学习算法的收敛性,计算机仿真证实理论结果,最后讨论了某些可能的应用。     

汞,镉污染对黑藻叶细胞伤害的超微结构研究

黑藻（Ｈｙｄｒｉｌｌａ ｖｅｒｔｉｅｉｌｌａｎ（Ｌ．ｆ．）Ｒｏｙｌｅ）植株分别在Ｈｇ＾２＋、Ｃｄ＾２＋梯度浓度的污染水中培养,在培养的时间段中（Ｈｇ＾２＋为３ｘｄ,Ｇｄ＾２＋为６ｄ）,随着浓度的递增,叶片逐渐出现均匀退绿症状。电镜观察发现,叶细胞遭受Ｈｇ＾２＋、Ｃｄ＾２＋毒害初期,高尔基体消失,内质网膨胀后解体,叶绿体中的类囊体和线粒体中的脊突胀成呈囊泡状,核中染色质涕 集。随着叶细胞遭受毒害程度     

一种自适应的种群增长模型及参数估计

通过对种群增长的非线性制约机制的数学形态分析,提出了一种新的种群增长数学模型ｄｘ／ｄｔ＝ｒｘ（１－（ｘ／ｘｍ）＾ｓ）其解析解为：ｘ（ｔ）＝ｘｍ／（１＋（ｘ＾ｓｍ／ｘ＾ｓ０－１）ｅ＾－ｒｓｔ）＾１／ｓ该模型当非线性密度制约指数ｓ〈１,ｓ＝１,ｓ〉１及ｓ→∞时分别对尖于ＳｍｉｔｈＬｏｇｉｓｔｉｃ,崔－Ｌａｗｓｏｎ及指数增长模型,具有自适应性,本文还提出了一种种群增长模型对数估计的搜索寻优方法,只要给出     

肾上腺髓质素（13—52）降压机制的探讨

本工作在整体和离体大鼠模型上观察肾上腺髓质素（１３－５２）［ＡｄＭ（１３－５２）］的降压机制,发现ＡｄＭ（１３－５２）的降压作用可被一氧化氮合酶（ＮＯＳ）竞争性拮抗剂Ｌ－Ｎ－硝基－精氨酸？（ＬＮＮＡ）部分抑制;ＡｄＭ１３－５２）的舒血管作用依赖于血管内皮并可被ＬＮＮＡ抑制,且具有剂量效应,ＬＮＮＡ这种效应可被Ｌ－精氨酸（ＬＡｒｇ）逆转;用亚甲蓝（ＭＢ）阻断血管内的环－磷酸鸟苷酸（ｘＧＭＰ）,则导致     

带扩散的Logistic单种群模型及其最优收获

在一些合理的假设条件下,就空间分布非均匀的Ｌｏｇｉｓｔｉｃ型收获模型 得到了与空间分布均匀的Ｌｏｇｉｓｔｉｃ型收获模型［１,２,３］完全平行的结论,其中包括种群持续生存和灭绝时收获努力量 Ｅ（ｘ）须满足的充要条件、种群持续生存时趋于正平衡状态的速度估计、种群灭绝时其密度趋于０的速度估计以及在种群持续生存条件下的最优收获努力量 Ｅ、最优平衡解 ｐ（ｘ）和最大收获量 ｈ＊     

翅果油树(Elaeagnus mollis)群落的种间分离

在野外对山西翅果油树群落31个样方内所有基径≥1cm的灌木绘制空间分布图,应用最近邻体法判定每个个体的最近邻体植株,然后采用N×N最近邻体列联表及其截表（2×2最近邻体列联表）的方法,研究翅果油树群落所有灌木的种间分离规律。结果表明：该群落中随机毗邻种对占绝大多数（80.94%）,正分离种对较少（18.78%）,负分离种对极少（0.28%）。呈负分离的极少数种对是一些个体较小的小灌木,它们多为群落的伴生种,具有相近的生境需求,较激烈的种间竞争可能导致它们随机或均匀分布,因此这些种对表现出负分离;较大的个体之间容易发生正分离,因为它们大多是群落的建群种或优势种,具有强的适应能力和竞争能力。从星座图上可清晰地看到种间分离在不同种之间存在一定的差异。另外,引入群落全面分离这一新概念,并应用χ2检验进行检验研究了翅果油树群落中所有物种的全面分离规律。结果表明,翅果油树群落内38个物种互相交错分布,是全面不分离的。     

Design-based mapping of tree attributes by 3P sampling

The estimation of individual values (marks) in a finite population of units (e.g., trees) scattered onto a survey region is considered under 3P sampling. For each unit, the mark is estimated by means of an inverse distance weighting interpolator. Conditions ensuring the design-based consistency of maps are considered under 3P sampling. A computationally simple mean squared error estimator is adopted. Because 3P sampling involves the prediction of marks for each unit in the population, prediction errors rather than marks can be interpolated. Then, marks are estimated by the predictions plus the interpolated errors. If predictions are good, prediction errors are more smoothed than raw marks so that the procedure is likely to better meet consistency requirements. The purpose of this paper is to provide theoretical and empirical evidence on the effectiveness of the interpolation based on prediction errors to prove that the proposed strategy is a tool of general validity for mapping forest stands.     

Maximum Likelihood Estimation of the Mortality Rate Function

Maximum likelihood estimator is obtained for the mortality rate function of a specific type appearing in survival data analysis. Strict consistency of this estimator is proved.     

A nonparametric method of estimation of the population size in capture–recapture experiments

A recent method for estimating a lower bound of the population size in capture–recapture samples is studied. Specifically, some asymptotic properties, such as strong consistency and asymptotic normality, are provided. The introduced estimator is based on the empirical probability generating function (pgf) of the observed data, and it is consistent for count distributions having a log-convex pgf (-class). This is a large family that includes mixed and compound Poisson distributions, and their independent sums and finite mixtures as well. The finite-sample performance of the lower bound estimator is assessed via simulation showing a better behavior than some close competitors. Several examples of application are also analyzed and discussed.     

Consistent estimation of the expected Brier score in general survival models with right-censored event times

In survival analysis with censored data the mean squared error of prediction can be estimated by weighted averages of time-dependent residuals. Graf et al. (1999) suggested a robust weighting scheme based on the assumption that the censoring mechanism is independent of the covariates. We show consistency of the estimator. Furthermore, we show that a modified version of this estimator is consistent even when censoring and event times are only conditionally independent given the covariates. The modified estimators are derived on the basis of regression models for the censoring distribution. A simulation study and a real data example illustrate the results.     

Testing for personality consistency across naturally occurring behavioral contexts in sanctuary chimpanzees (Pan troglodytes)

Personality is both a reflection of the bio-behavioral profile of individuals and a summary of how they typically interact with their physical and social world. Personality is usually defined as having distinct behavioral characteristics, which are assumed to be consistent over time and across contexts. Like other mammals, primates have individual differences in personality. Although temporal consistency is sometimes measured in primates, and contextual consistency is sometimes measured across experimental contexts, it is rare to measure both in the same individuals and outside of experimental settings. Here, we aim to measure both temporal and contextual consistency in chimpanzees, assessing their personality with behavioral observations from naturally occurring contexts (i.e., real-life settings). We measured personality-based behaviors in 22 sanctuary chimpanzees, in the contexts of feeding, affiliation, resting, and solitude, across two time periods, spanning 4 years. Of the 22 behaviors recorded, about 64% were consistent across two to four contexts and 50% were consistent over time. Ten behaviors loaded significantly onto three trait components: explorativeness, boldness-sociability, and anxiety-sociability, as revealed by factor analysis. Like others, we documented individual differences in the personality of chimpanzees based on reliably measured observations in real-life contexts. Furthermore, we demonstrated relatively strong, but not absolute, temporal, and contextual consistency in personality-based behaviors. We also found another aspect of individual differences in personality, specifically, the extent to which individual chimpanzees show consistency. Some individuals showed contextual and temporal consistency, whereas others show significant variation across behaviors, contexts, and/or time. We speculate that the relative degree of consistency in personality may vary within chimpanzees. It may be that different primate species vary in the extent to which individuals show consistency of personality traits. Our behavioral-based assessment can be used with wild populations, increasing the validity of personality studies, facilitating comparative studies and potentially being applicable to conservation efforts.     

Mean and variance of ratio estimators used in fluorescence ratio imaging

BACKGROUND: The ratio of two measured fluorescence signals (called x and y) is used in different applications in fluorescence microscopy. Multiple instances of both signals can be combined in different ways to construct different ratio estimators. METHODS: The mean and variance of three estimators for the ratio between two random variables, x and y, are discussed. Given n samples of x and y, we can intuitively construct two different estimators: the mean of the ratio of each x and y and the ratio between the mean of x and the mean of y. The former is biased and the latter is only asymptotically unbiased. Using the statistical characteristics of this estimator, a third, unbiased estimator can be constructed. RESULTS: We tested the three estimators on simulated data, real-world fluorescence test images, and comparative genome hybridization (CGH) data. The results on the simulated and real-world test images confirm the presented theory. The CGH experiments show that our new estimator performs better than the existing estimators. CONCLUSIONS: We have derived an unbiased ratio estimator that outperforms intuitive ratio estimators.     

A Sometimes-Pool Estimator of the Mean Life

The paper deals with the problem of estimating the mean life θ in an exponential model \documentclass{article}\pagestyle{empty}\begin{document}$f(x/\theta ) = \frac{1}{\theta }e - x/\theta$\end{document}. It is assumed that in addition to the current ordered sample, we have a sample collected sometime in the recent past when the mean life might have been β. We have proposed a Sometimes—Pool procedure which is based on the outcome of a preliminary test of H₀: θ=β and obtained the expressions of the bias and MSE. An attempt has been made to locate that region in the parameter space in which the proposed estimator does better (in MSE sense) than the usual estimator based only on the current sample.     

On‐line adaptive metabolic flux analysis: Application to PHB production by mixed microbial cultures

In this work, an algorithm for on‐line adaptive metabolic flux analysis (MFA) is proposed and applied to polyhydroxybutyrate (PHB) production by mixed microbial cultures (MMC). In this process, population dynamics constitutes an important source of perturbation to MFA calculations because some stoichiometric and energetic parameters of the underlying metabolic network are continuously changing over time. The proposed algorithm is based on the application of the observer‐based estimator (OBE) to the central MFA equation, whereby the role of the OBE is to force the accumulation of intracellular metabolites to converge to zero by adjusting the values of unknown network parameters. The algorithm was implemented in a reactor equipped with on‐line analyses of dissolved oxygen and carbon dioxide through respirometric and titrimetric measurements. The oxygen and carbon dioxide fluxes were measured directly, whereas acetate, PHB, and sludge production fluxes were estimated indirectly using a projection of latent structures model calibrated a priori with off‐line measurements. The algorithm was implemented in a way that the network parameters associated with biosynthesis were adjusted on‐line. The algorithm proofed to converge exponentially with the steady state error always below 1 mmol/L. The estimated fluxes passed the consistency index test for experimental error variances as low as 1%. The comparison of measured and estimated respiratory coefficient and of the theoretical and estimated yield of sludge on acetate further confirmed the metabolic consistency of the parameters that were estimated on‐line. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009     

Estimation of a monotone percentile residual life function under random censorship

In this paper, we introduce a new estimator of a percentile residual life function with censored data under a monotonicity constraint. Specifically, it is assumed that the percentile residual life is a decreasing function. This assumption is useful when estimating the percentile residual life of units, which degenerate with age. We establish a law of the iterated logarithm for the proposed estimator, and its ‐equivalence to the unrestricted estimator. The asymptotic normal distribution of the estimator and its strong approximation to a Gaussian process are also established. We investigate the finite sample performance of the monotone estimator in an extensive simulation study. Finally, data from a clinical trial in primary biliary cirrhosis of the liver are analyzed with the proposed methods. One of the conclusions of our work is that the restricted estimator may be much more efficient than the unrestricted one.     

Taxonomic aggregation does not alleviate the lack of consistency in analysing diversity in long‐term phytoplankton monitoring data: a rejoinder to Pomati et al. (2015)

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