BP人工神经网络模拟杨树林冠蒸腾

利用2008和2010年的气温、饱和差、总辐射和叶面积指数作为模型输入,液流法观测的蒸腾速率作为模型输出,建立了用于杨树林冠蒸腾模拟的BP人工神经网络模型,利用2009年的观测数据对模型的模拟能力进行了检验,并应用连接权值计算得到的输入变量对输出变量的相对贡献进行了敏感性分析。结果表明:建立的BP人工神经网络蒸腾模型可以很好的模拟林冠蒸腾大小和季节变化,模拟的绝对误差和绝对相对误差的平均值分别为0.11 mm/d和9.5%,纳什效率系数为0.83;输入变量对蒸腾的相对贡献以及蒸腾与输入变量之间的相关性大小顺序相同,均为总辐射叶面积指数饱和差气温。     

Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity

Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarray studies in various cancers have reported such gene signatures. However, the overlap of gene signatures in the same disease has been limited so far, and some reported signatures have not been reproduced in other populations. Clearly, the methods used for verifying novel gene signatures need improvement. In this article, we describe an experiment in which microarrays and sample hybridization are designed according to the statistical principles of randomization, replication and blocking. Our results show that such designs provide unbiased estimation of differential expression levels as well as powerful tests for them.     

Biodiesel fuel production by Aspergillus niger whole-cell biocatalyst in optimized medium

Methanolysis of sunflower oil catalyzed by immobilized Aspergillus niger mycelium was studied in a packed-bed reactor. The optimal cultivation parameters for A. niger were determined using full factorial and steepest ascent experimental designs. Sunflower oil, yeast extract and soybean meal were selected as the best carbon and nitrogen sources and were used in the subsequent experiments. Intracellular lipase activity and cell mass concentration were respectively 3.2 and 2.4 times greater and cultivation period decreased by 24 h compared with the initial medium. The optimum values of these most significant parameters were as follows: sunflower oil (13.2 g/L), yeast extract (6.2 g/L), soybean meal (7.4 g/L) and incubation period (72 h) at 30 °C. With A. niger biocatalyst grown in optimized conditions, the biodiesel fuel yield reached 23.1% after sixth pass of recycled reaction mixture through the reactor.     

Influence of culture conditions on mycelial growth and bioluminescence of Gerronema viridilucens

Herein we describe a procedure for measuring the total light emission of the naturally bioluminescent tropical fungus Gerronema viridilucens and the optimization of culture conditions using multivariate factorial anova. Cultures growing on an agar surface in 35 mm Petri dishes at 90% humidity show optimal bioluminescence emission at 25 degrees C in the presence of 1.0% sugar cane molasses, 0.10% yeast extract and pH 6.0 (nonbuffered). Temperature and pH are the most important factors for both mycelial growth and bioluminescence.     

Optimal allocation of replicates for measurement evaluation studies

Optimal experimental design is important for the efficient use of modern highthroughput technologies such as microarrays and proteomics. Multiple factors including the reliability of measurement system, which itself must be estimated from prior experimental work, could influence design decisions. In this study, we describe how the optimal number of replicate measures （technical replicates） for each biological sample （biological replicate） can be determined. Different allocations of biological and technical replicates were evaluated by minimizing the variance of the ratio of technical variance （measurement error） to the total variance （sum of sampling error and measurement error）. We demonstrate that if the number of biological replicates and the number of technical replicates per biological sample are variable, while the total number of available measures is fixed, then the optimal allocation of replicates for measurement evaluation experiments requires two technical replicates for each biological replicate. Therefore, it is recommended to use two technical replicates for each biological replicate if the goal is to evaluate the reproducibility of measurements.     

柑橘皮中果胶的提取工艺条件研究

目的:研究柑橘皮中果胶的提取工艺条件,提高果胶资源的开发及利用度,为农产品深加工提供理论基础。方法:以柑橘皮为原料,采用盐酸提取、真空浓缩、乙醇沉淀的方法,以果胶提取率和吸光度为考察指标,在单因素试验基础上,进行多因素的L16(45)正交试验设计,研究了浸提时间、浸提温度、溶液pH值、乙醇用量和料液比等重要影响因素,对柑橘皮果胶提取率的影响,获得果胶提取最优化组合,建立最佳的果胶提取工艺参数。结果:最佳的工艺条件为提取温度80℃,料液比1:15,提取液pH1.5,浸提时间2h,乙醇用量80%。在此条件下,果胶提取率可达到11.82%。结论:本实验所得的果胶制备最佳工艺参数组合,能获得较理想的橘皮中果胶的提取率。果胶产品各项检测指标均达到或超过国家标准。     

统计技术对气动式手术刀片包装机的验证应用

气动式手术刀片包装机用于铝箔袋的热封时,温度、压力与时间均可影响热封效果。该文提出正交试验设计的原理,应用统计技术得出最佳热封工艺条件。经验证数据可靠,可用于指导生产。     

Data and knowledge based experimental design for fermentation process optimization

A novel method for the sequential experimental design in order to optimize fed-batch fermentations was applied to a hyaluronidase fermentation by Streptococcus agalactiae. A Λ-optimal design was introduced to minimize the model parameter estimation error and to maximize the performance of the fermentation process. The method employs hybrid models that contain mechanistic, fuzzy and neural network components.     

Optimum experimental design for Free‐Air Carbon dioxide Enrichment (FACE) studies

This article presents the logical reasoning underlying the optimal design of an experiment. We used Free‐Air Carbon dioxide Enrichment (FACE) experiments to illustrate this trade‐off as such experiments are particularly costly. On a theoretical basis, two‐way nested designs and split‐plot designs have similar power in testing carbon dioxide (CO₂) main effects. If researchers have the choice of adding two replicate rings or two control plots to their experiment, our results show that both options provide a substantial gain in statistical power, with a slightly greater gain in the former case and at reduced financial cost in the latter. The former option, however, provides an insurance against possible ring failure. On an empirical basis, we analysed a preliminary FACE photosynthesis dataset collected at Duke University. The experiment was designed as a split‐plot design to test the effects of growth environment (GROWTH) and measurement CO₂ concentration (MEAS) on photosynthetic rates of loblolly pine. Although a significant effect of MEAS was observed, we failed to detect a significant main effect of GROWTH. Power analysis was used to understand why the GROWTH main effect was not significant. The minimum detectable difference between treatment means that we calculated for GROWTH in this experiment was 4.04 μmol CO₂ m^?2 s^?1 for a statistical power of 0.90, whereas the observed difference was 0.16 μmol CO₂ m^?2 s^?1. Our recommendations for the design of FACE experiments are: (i) consider a second treatment factor with many levels within each ring in order to obtain a split‐plot design that provides a powerful test of interaction between treatment factors; (ii) add control plots, unless financial constrictions disallow for necessary personnel; (3) pool the data of FACE experiments conducted in comparable ecosystems (e.g. forests or grasslands), with two rings per treatment level at each site.     

On the Convergence of an Algorithm of Jones

Pearce (1976) proposed the use of the variance matrix for design block experiments. Jones (1976) gave an iterative formula for, but stated that the iteration failed to converge for some block designs. We derive necessary and sufficient conditions for the convergence of JONES' iteration. We also note that a simple modification to JONES' iteration will ensure its convergence.     

一株丁二酸高产菌株的筛选鉴定及初步发酵研究

以牛胃内容物为菌源,利用富马酸钠为唯一碳源并加入高浓度丁二酸钠的选择培养基筛选到一株丁二酸产量较高,副产物较少的菌株。经形态学、生理生化鉴定和16S rDNA序列的系统发育分析,该菌株为巴斯德菌科的产琥珀酸放线杆菌,与琥珀酸放线杆菌S.JST序列相似性最高为98.98%,命名为琥珀酸放线杆菌GXAS137,保藏号为M2011399。利用正交试验对发酵条件进行了初步优化,该菌可发酵55 g/L葡萄糖产38.96 g/L丁二酸,具有较好的丁二酸生产潜力。     

A means of estimating the completeness of haplotype sampling using the Stirling probability distribution

I present a tool for use in phylogeography that helps estimate the completeness of haplotype sampling, based on the number of individuals analysed and the number of different haplotypes they show. Applying the Stirling probability distribution and Bayes’ theorem, a posterior probability distribution of the total number of haplotypes, including those yet to be observed, may be obtained. This enables one to deduce if the data are complete enough for further analysis. A program for calculating the posterior probabilities is available at http://www.botanik.univie.ac.at/plantchorology/haplo.htm .     

Optimal Experimental Design and Accuracy of Parameter Estimation for Nonlinear Regression Models Used in Long-term Selection

An experimental design problem is considered for the analysis of long-term selection experiments with nonlinear regression models. For a 3-parametric exponential regression function whose parameters have also a reasonable biological interpretation approximate formulas for the determination of the necessary number of observations at each generation are constructed in such a way that the half expected length of an (1 — α)-confidence interval for a chosen parameter is not greater than a given value. In this sense the accuracy of the parameter estimators can be described.