适用于获取最优化配方的一种算法

本文应用印楝种仁提取物（F3）与敌敌畏混配为例,以斜纹夜蛾（Spodopteralitura）为目标害虫,介绍一种适用于获取最优化配方的算法,在二次通用回归旋转组合设计的基础上,经参数辨识,获取二次回归方程,经失拟性、回归显著性检验,本方程基本能够反映杀虫剂用量与斜纹夜蛾幼虫死亡机率值之间的关系．在害虫防治实践中,要求在防治费用最小的基础上,目标害虫有最大的死亡率.因此,以防治目标害虫的费用作为优化算法的目标函数,以害虫死亡机率值最大作为约束条件,有如下的一组优化算式为目标函数约束条件式中a1,a2分别为参试杀虫剂1,2最低用量,b1,b2则为相应的最高用量．C1,C2分别为杀虫剂1,2的单价,N1,N2为杀虫剂l,2的用量．Y为目标害虫死亡机率值回归方程．本文所依据的试验设计中,以对数函数关系变换编码值与使用浓度之间的关系,所以应用拉格朗日求极值原理求取最优化配方．由计算所得的混配比例与其他方法所获结果一致．     

早熟桃最佳采收期的多目标决策模型研究

本文在拟合出早熟桃品种早花露品质诸项指标变化曲线的基础上，结合市场价格变化，以经济效益作为目标函数，建立了适时采收的多目标决策模型，并由此求出该品种在合肥地区最佳采收期是5月24日，为早熟桃生产取得最佳经济效益提供理论指导.     

稳定有界的Logistic方程的最优捕获策略

考虑单种群非自治的Logistic方程的开采问题．在R^ 中都存在均值的意义下,作为周期和概周期函数的推广,首先给出稳定有界函数的概念．然后定义一个新的最终最优收获策略用于处理我们的问题．选择单位时间的最大持久收益的极限均值作为管理目标。同时得到了最佳的种群水平．作为应用,我们以概周期系数的Logistic方程为例,表明我们的结果不仅推广了经典的Clark关于自治的Logistic方程的收获问题,而且推广了范猛和王克的关于周期的Logistic方程的收获问题的结果．     

基于DTW距离的DNA序列相似性分析

在DNA序列相似性的研究中,通常采用的动态规划算法对空位罚分函数缺乏理论依据而带有主观性,从而取得不同的结果,本文提出了一种基于DTW（Dynamic Time Warping,动态时间弯曲）距离的DNA序列相似性度量方法可以解决这一问题．通过DNA序列的图形表示把DNA序列转化为时间序列,然后计算DTW距离来度量序列相似度以表征DNA序列属性,得到能够比较DNA序列相似性度量方法,并用这个方法比较分析了七种东亚钳蝎神经毒素（Buthusmartensi Karsch neurotoxin）基因序列的相似性,验证了该度量方法的有效性和准确性．     

一类信号转导通路模型参数辨识中最小应测量状态的确定

建立信号转导通路的数学模型是系统生物学的一个重要目标．但是信号转导通路本身的复杂结构及其所表现出的强非线性特征,使得对该类模型的参数辨识十分困难．参数辨识所需要的测量数据的选择对于辨识结果有重要影响．本文研究了一类信号转导通路模型参数辨识中最小应测量状态的计算问题．给出了用于确定该最小应测量状态的目标函数,通过对目标函数进行简单的运算,确定了用来估计未知参数的最小应测量状态的数量,同时给出了一种计算系统状态对应于未知参数的敏感性系统曲线的新方法．以TNFα诱导的NF-κB信号转导通路为例进行了仿真研究,并给出了仿真结果．     

链脲菌素诱导的糖尿病大鼠模型制作成本研究

通过建立数学模型描述制作糖尿病大鼠模型的成本．针对成模率不确定导致的成本无法计算,本文通过分析成本支出项简化目标函数,使用血糖增加量代替以成模率表述的约束条件．简化后的成本模型可以直接计算,并能以此为基础在制作糖尿病大鼠模型时选择大鼠的体重和确定药物的注射剂量。     

免疫进化算法在建立地位指数曲线模型中的应用

选择Schumacher方程构建优势高和地位指数均能写成显式表达式的多形地位指数曲线模型,以同时兼顾优势高和地位指数的估测误差最小为目标函数,采用免疫进化算法求解参数．实例分析表明：该文建立的多形地位指数曲线模型能够客观地反映不同立地下优势高的生长规律,且误差小,应用方便．     

极限在最优寻址中的应用

本文以共用管线和非共用管线的交点位置作为自变量,建立了关于铺设管线费用为因变量的目标函数。利用matlab模拟仿真求极限的过程,避开利用求偏导来求极值的复杂过程,得到了费用最小时的管线布局方案,和此时的最小费用。     

混合拟单调系统行波解的存在性

运用单调迭代方法,证明了混合拟单调系统的行波解的存在性．当反应扩散系。统的反应函数是混合拟单调函数时,如果选取一对合适的耦合上下解作为迭代初值,则迭代序列将收敛到一对拟解．而且在这对拟解之间存在系统的行波解．     

基于模拟退火法由脑磁图推测电流偶极子参数

利用模拟退火（Ｓｉｍｕｌａｔｅｄ Ａｎｎｅａｌｉｎｇ） 算法,由脑磁图（ ＭＥＧ） 数据反演脑内作为磁源的单电流偶极子参数,可以得到理想的结果。在上述工作的基础上,对脑内多电流偶极子参数的反演,则呈现如下状况：即以少于实际源数目的偶极子为源假设反演,目标函数得不到极小优化。反之,目标函数可以得到极小优化, 但出现多余的伪偶极子, 且这些伪偶极子在多次不同条件的反演结果中,处于不稳定状态。若将多次反演结果中处于不稳定状态的偶极子作为伪偶极子的判据而将其排除,则可以得到一种判断磁源偶极子数目的方法     

Objective analysis of centromere separation

Centromere separation sequence and premature centromere division have gained increasing interest; however, inaccuracy and subjectivity in their investigation have often been criticized. We describe a simple computerized image analysis system that makes an objective and exact staging of centromere division possible.     

流行病免疫规律的随机模型研究

本文提出了流行病免疫规律的随机过程模型,给出了一定条件下个体从不具有免疫力向具有免疫力转移或相反方向转移的转移概率表达式,并给出了各年龄组人群中获得抗性的个体比例．以广州市正常人群甲型病毒性肝炎为例研究模型的具体应用．     

最小成本为目标函数时最优循环量的确定

由于超滤无相变,操作条件温和,能耗低等优点,使其在生物医药领域取得日益广泛的应用,尤其在价格昂贵的生物制品等热敏性生物活性物质的分离、浓缩和纯化中显示出极大优越性,已引起人们的广泛重视。然而,超滤优势的充分发挥受到许多因素的制约。在影响超滤的众多操作因素中,保留液循环量即膜面速度是其中最重要的因素之一,特别是当膜应用于中试或工业化生产后,最优循环量(膜面     

应变率成像技术评价吗啡预处理对兔心肌缺血再灌注损伤时左室功能的影响

目的:应用应变率成像技术(SRI)动态观察和评价吗啡预处理对兔心肌缺血再灌注损伤时左室长轴功能的影响。方法:建立新西兰大白兔心肌缺血再灌注模型,随机分为假手术组(SH组)、吗啡预处理组(MF组)和生理盐水预处理组(NS组)。于手术前1天及手术术后28天内不同时间点测量超声心动图常规数据及左室各壁收缩期峰值速度与应变率参数。结果:术后1天,MF组与NS组左室整体与局部心肌收缩功能较术前和SH组明显减低(P0.05),并随缺血再灌注时间的延长呈减低趋势(P0.05),且NS组减低更明显(P0.05)。结论:SRI技术能够客观、准确地评价缺血再灌注损伤心肌的局部收缩功能的变化,而吗啡预处理对兔心肌缺血再灌注损伤存在明显的弱化作用。     

Objective and subjective probability in gene expression

In this paper I address the question of whether the probabilities that appear in models of stochastic gene expression are objective or subjective. I argue that while our best models of the phenomena in question are stochastic models, this fact should not lead us to automatically assume that the processes are inherently stochastic. After distinguishing between models and reality, I give a brief introduction to the philosophical problem of the interpretation of probability statements. I argue that the objective vs. subjective distinction is a false dichotomy and is an unhelpful distinction in this case. Instead, the probabilities in our models of gene expression exhibit standard features of both objectivity and subjectivity.     

Modern Methods in Teaching Art

Academic programs use objective and standardized assessment criteria. Music education programs have avoided such objective assessments via the assertion of subjectivity and aesthetics in music learning. In this article, the author introduces the revised Bloom's taxonomy as a tool to translate music education outcomes into objective educational criteria. The author analyzes cognitive processes and knowledge domains that address more complex forms of musicianship using achievement standards from the nine national standards in music education as examples. The author also introduces four new knowledge domains to describe procedural and metacognitive knowledge that are integral to music learning. In addition, the new taxonomy elevates creativity as the most complex of the cognitive processes, which has positive implications for the field of music education.     

Asymptotically robust variance estimation for person‐time incidence rates

Person‐time incidence rates are frequently used in medical research. However, standard estimation theory for this measure of event occurrence is based on the assumption of independent and identically distributed (iid) exponential event times, which implies that the hazard function remains constant over time. Under this assumption and assuming independent censoring, observed person‐time incidence rate is the maximum‐likelihood estimator of the constant hazard, and asymptotic variance of the log rate can be estimated consistently by the inverse of the number of events. However, in many practical applications, the assumption of constant hazard is not very plausible. In the present paper, an average rate parameter is defined as the ratio of expected event count to the expected total time at risk. This rate parameter is equal to the hazard function under constant hazard. For inference about the average rate parameter, an asymptotically robust variance estimator of the log rate is proposed. Given some very general conditions, the robust variance estimator is consistent under arbitrary iid event times, and is also consistent or asymptotically conservative when event times are independent but nonidentically distributed. In contrast, the standard maximum‐likelihood estimator may become anticonservative under nonconstant hazard, producing confidence intervals with less‐than‐nominal asymptotic coverage. These results are derived analytically and illustrated with simulations. The two estimators are also compared in five datasets from oncology studies.     

L’analyse automatisée de la morphologie du spermatozoïde

Examination of sperm morphology is one factor of evaluation of sperm function, but it can also be considered as a biomarker of testicular function. All publications showed a high variability in observed results, in relation with different methods of staining slides and classifying sperm morphology, and a large subjectivity in the visual assessment. Automated sperm morphology analysis (ASMA) have the potential to provide more objective, accurate, and precise morphometric measurements of spermatozoa. Standardisation of the methods of slides preparation is first essential. Analysis of the sperm head morphometry appears the more accessible for the ASMA and could give selective parameters in the evaluation of fertility, in complement with motion sperm analysis. In the other hand automated analysis of all sperm abnormalities appears illusory with actual instruments, because the midpiece or the flagellum is a little structure weakly stained, and thus difficult to be identified by the computer. Until more rigorous and consistent definitions of sperm features can be developped, in relation with testicular function, the pronostic value of existing sperm abnormalities classifications is limited.     

Subjectivity and flexibility in invasion terminology: too much of a good thing?

Invasions biologists have frequently debated whether the definition of invasive should include ecological and economic impacts. More recent criticisms posit that objective definitions are impossible in any absolute sense, while subjectivity is desirable for its flexibility and motivational qualities. We argue that such criticisms underestimate the extent of subjectivity already present in invasion biology. Ecological questions may be methodological if they relate directly to other ecological theories and models, or motivational if they focus on issues important to society as a whole. Motivational questions are important for engaging scientists, improving public understanding of science, and often have applied benefits. In contrast, methodological questions are constrained by established scientific theories, and are therefore more efficient for the development of scientific knowledge. Contrary to recent critiques, we suggest that greater objectivity is both achievable and desirable for the discipline of invasion biology and ecology generally.