大棚网纹甜瓜品种主要经济性状模糊综合评判

本文根据模糊数学的基本原理,对大棚栽培的13个网纹甜瓜品种,采用品质、产量和成熟期等11个经济性状,进行模糊综合评判．结果表明：Andes和Volga的综合经济性状较好;Earl’sSeine夏系I、Marchen、秋绿、Earl’s东海PF80,Heim,Earl’sSeine夏系Ⅱ、夏绿和Kyanaru次之;Bolero,JohnnyEarl’s和Earl’s东海S78较差．作者认为：Andes及Volga为大棚栽培的首选品种,其次选用Earl’sSeine夏系I、秋绿和Earl’s东海PF80等品种．     

环境因子对锌酵母生长影响潜力预测Ⅱ.基于模糊关系方程

在构造环境因子温度、pH、溶氧对锌酵母菌体生长评价的隶属函数的基础上,通过求解模糊关系方程,预测环境因子对菌体生长影响潜力。     

Estimates of subtropical forest biomass based on airborne LiDAR and Landsat 8 OLI data

 快速、定量、精确地估算区域森林生物量一直是森林生态功能评价以及碳储量研究的重要问题。该研究基于机载激光雷达(LiDAR)点云与Landsat 8 OLI多光谱数据, 借助江苏省常熟市虞山地区55块调查样地数据, 首先提取并分析了87个特征变量(53个OLI特征变量, 34个LiDAR特征变量)与森林地上、地下生物量的Pearson’s相关系数以进行变量优选, 然后利用多元逐步回归法建立森林生物量估算模型(OLI生物量估算模型和LiDAR生物量估算模型), 并与基于两种数据建立的综合生物量估算模型的结果进行比较, 讨论预测结果及其精确性。结果表明: 3种模型(OLI模型、LiDAR模型和综合模型)在所有样地无区分分析时, 地上和地下生物量的估算精度均达到0.4以上, 基于不同森林类型(针叶林、阔叶林、混交林)分析时地上和地下生物量的估算精度均有明显提高, 达到0.67及以上。利用分森林类型模型估算生物量, 综合生物量估算模型精度(地上生物量: R²为0.88; 地下生物量: R²为0.92)优于OLI生物量估算模型(地上生物量: R²为0.73; 地下生物量: R²为0.81)和LiDAR生物量估算模型(地上生物量: R²为0.86; 地下生物量: R²为0.83)。     

深圳市社区公共卫生服务包运行的成本结构分析

目的 了解深圳市社区公共卫生服务包运行成本的总体情况及财政投入的参考标准。方法 在人力成本、基本支持与保障成本测算的基础上,结合社康中心普查资料与统计年鉴,分析服务包运行中各要素成本及其占财政支出的比例。结果 完成服务包基本项目时,按每万服务人口计,服务包运行成本为64.67万元,其中人力成本占70%,此时服务包成本占同年财政一般性的比例约为1%。结论 深圳市有实力也有必要进一步加大对社区卫生服务的投入,特别是保证人员经费的投入。     

Estimating Wind Turbine-Caused Bird Mortality

ABSTRACT Mortality estimates are needed of birds and bats killed by wind turbines because wind power generation is rapidly expanding worldwide. A mortality estimate is based on the number of fatalities assumed caused by wind turbines and found during periodic searches, plus the estimated number not found. The 2 most commonly used estimators adjust mortality estimates by rates of searcher detection and scavenger removal of carcasses. However, searcher detection trials can be biased by the species used in the trial, the number volitionally placed for a given fatality search, and the disposition of the carcass on the ground. Scavenger removal trials can be biased by the metric representing removal rate, the number of carcasses placed at once, the duration of the trial, species used, whether carcasses were frozen, whether carcasses included injuries consistent with wind turbine collisions, season, distance from the wind turbines, and general location. I summarized searcher detection rates among reported trials, and I developed models to predict the proportion of carcasses remaining since the last fatality search. The summaries I present can be used to adjust previous and future estimates of mortality to improve comparability. I also identify research directions to better understand these and other adjustments needed to compare mortality estimates among wind farms.     

Under-smoothed kernel confidence intervals for the hazard ratio based on censored data

In cancer clinical trials, it is often of interest in estimating the ratios of hazard rates at some specific time points during the study from two independent populations. In this paper, we consider nonparametric confidence interval procedures for the hazard ratio based on kernel estimates for the hazard rates with under-smoothing bandwidths. Two methods are used to derive the confidence intervals: one based on the asymptotic normality of the ratio of the kernel estimates for the hazard rates in two populations and another through Fieller's Theorem. The performances of the proposed confidence intervals are evaluated through Monte-Carlo simulations and applied to the analysis of data from a clinical trial on early breast cancer.     

Characteristic amino acid combinations in olfactory G protein-coupled receptors

The human olfactory subgenome has recently been fully characterized with over 1000 genes. Although as many as two thirds of them are expected to be pseudogenes, it still leaves us with about half of all human G protein-coupled receptors being olfactory. It is therefore of great interest to characterize olfactory receptors with high precision. Usually it is done through sequence motifs that are not fully conserved, making an exact characterization difficult. In this paper, we propose a rule-based characterization of olfactory receptors derived from a multiple sequence alignment of human GPCRs. We show that just seven alignment sites are sufficient to characterize 99% of human olfactory GPCRs with one feature, a tyrosine at site 7.41, being of particular importance. We also show dependencies between sites near the extracellular and intracellular region of a membrane-embedded receptor, indicating that olfactory receptors are characterized by a combination of important residues in these two areas, whereas nonolfactory receptors tend to have residues of lower importance at the same sites.     

基于可变模糊评价模型的东山湾生态系统健康评价

根据东山湾海域环境污染现状和生态系统的特点,从水质环境、沉积物环境、生物残毒以及海洋生物方面构建了东山湾生态系统健康评价指标体系,提出了基于可变模糊评价模型的海湾生态系统健康评价方法,并利用该方法对东山湾生态系统健康状况进行了评价。结果表明:东山湾春季生态系统健康指数为2.36,秋季为2.44,均处于"良与中之间,偏良"水平,春季略优于秋季。影响东山湾生态系统健康状况的主要负面指标因子为鱼卵及仔鱼密度(春秋季健康指数均值为4.95)、营养水平(秋季健康指数为4.47)和底栖生物生物量(春季健康指数为3.59)。实例研究表明该方法通过准则参数α和距离参数p的不同组合变化,以线性与非线性相结合,能够较客观系统、标准量化地评价海湾生态系统健康状况的优劣,。     

Multi-class clustering and prediction in the analysis of microarray data

DNA microarray technology provides tools for studying the expression profiles of a large number of distinct genes simultaneously. This technology has been applied to sample clustering and sample prediction. Because of a large number of genes measured, many of the genes in the original data set are irrelevant to the analysis. Selection of discriminatory genes is critical to the accuracy of clustering and prediction. This paper considers statistical significance testing approach to selecting discriminatory gene sets for multi-class clustering and prediction of experimental samples. A toxicogenomic data set with nine treatments (a control and eight metals, As, Cd, Ni, Cr, Sb, Pb, Cu, and AsV with a total of 55 samples) is used to illustrate a general framework of the approach. Among four selected gene sets, a gene set omega(I) formed by the intersection of the F-test and the set of the union of one-versus-all t-tests performs the best in terms of clustering as well as prediction. Hierarchical and two modified partition (k-means) methods all show that the set omega(I) is able to group the 55 samples into seven clusters reasonably well, in which the As and AsV samples are considered as one cluster (the same group) as are the Cd and Cu samples. With respect to prediction, the overall accuracy for the gene set omega(I) using the nearest neighbors algorithm to predict 55 samples into one of the nine treatments is 85%.