生态系统多功能性的测度方法

生物多样性与生态系统多功能性(biodiversity and ecosystem multifunctionality, BEMF)之间的关系是目前生态学研究的一个热点, 其中, 生态系统多功能性(EMF)的测度方法是研究该问题的技术关键。由于缺乏统一的认识, 目前存在多个多功能性的测度方法, 这使人们对生物多样性与生态系统多功能性之间关系的理解复杂化。本文介绍了国际上常用的单功能法、功能-物种替代法、平均值法、单阈值法、多阈值法、直系同源基因法和多元模型法的原理及其特点, 并对其中较难理解的多阈值法进行了举例说明, 希望能对理解EMF的测度方法有所帮助。本文按不同的EMF测度方法对已发表的有关文章进行了归类, 以期帮助读者更好地选择EMF的测度方法。由于缺乏相对统一的、代表各个层次的生态系统功能的测度方法, 导致不同的研究结果难以相互比较, 严重限制了生物多样性与生态系统多功能性研究的发展; 所以, 研发新的、具有普遍适用性的EMF测度方法已成为当务之急。     

Marginal analyses of clustered data when cluster size is informative

We propose a new approach to fitting marginal models to clustered data when cluster size is informative. This approach uses a generalized estimating equation (GEE) that is weighted inversely with the cluster size. We show that our approach is asymptotically equivalent to within-cluster resampling (Hoffman, Sen, and Weinberg, 2001, Biometrika 73, 13-22), a computationally intensive approach in which replicate data sets containing a randomly selected observation from each cluster are analyzed, and the resulting estimates averaged. Using simulated data and an example involving dental health, we show the superior performance of our approach compared to unweighted GEE, the equivalence of our approach with WCR for large sample sizes, and the superior performance of our approach compared with WCR when sample sizes are small.     

On prediction of genetic values in marker-assisted selection.

We suggest a new approximation for the prediction of genetic values in marker-assisted selection. The new approximation is compared to the standard approach. It is shown that the new approach will often provide substantially better prediction of genetic values; furthermore the new approximation avoids some of the known statistical problems of the standard approach. The advantages of the new approach are illustrated by a simulation study in which the new approximation outperforms both the standard approach and phenotypic selection.     

新生隐球菌总RNA抽提方法的实验研究

目的探讨快速获取高质量的新生隐球菌总RNA的实验方法。方法选取新生隐球菌的荚膜株、荚膜缺陷株,分别设计采用4种方法提取总RNA:酸洗玻璃珠法、液氮研磨法、异硫氰酸胍一步法、冷酸洗玻璃珠联合Yeast RNA kit法。用紫外线分光光度计测量其OD260、OD280的值,并且进行琼脂糖凝胶电泳,同时应用定量PCR法鉴定RNA质量。结果酸洗玻璃珠法、液氮研磨法、异硫氰酸胍一步法、冷酸洗玻璃珠联合Yeast RNA kit法的RNA产量分别为0.2μg/105细胞、0.4μg/105细胞、0.1μg/105细胞、0.6μg/105细胞。结论冷酸洗玻璃珠联合Yeast RNA kit法提取的RNA均一性和完整性最好,是简便、快捷地提取具有荚膜和细胞壁双重屏障的新生隐球菌RNA的理想方法。     

Complications of central venous catheterization from an anatomical point of view

For access to the central venous system numerous percutaneous methods and approaches exist. Questions are often raised concerning which approach is the safest. In 18 human cadavers, we punctured the internal jugular vein via an anterior and posterior approach and the subclavian vein via an infraclavicular route to determine which of these approaches is better with respect to success rate and frequency of puncture complications. The position of the needles was assessed by dissection. Successful venipunctures were achieved in 81% by the posterior approach, as opposed to 58% by the anterior approach and the infraclavicular route. The lowest frequency of complications was attained by the posterior approach (17%) too, whereas the anterior approach (33%) and the subclavian route (25%) had higher complication rates. The main complication of posterior and anterior approaches was inadvertent arterial puncture (9 vs. 19%). At the subclavian approach puncture of a 'wrong' vein was frequent (14%), and the complications included a case of pleura lesion. In conclusion the posterior approach to the internal jugular vein is superior to the other investigated approaches, and therefore, it can reasonably be proposed as a usual route for the insertion of a central venous catheter.     

A new approach for estimating the efficiencies of the nucleotide substitution models

In this article, a new approach is presented for estimating the efficiencies of the nucleotide substitution models in a four-taxon case and then this approach is used to estimate the relative efficiencies of six substitution models under a wide variety of conditions. In this approach, efficiencies of the models are estimated by using a simple probability distribution theory. To assess the accuracy of the new approach, efficiencies of the models are also estimated by using the direct estimation method. Simulation results from the direct estimation method confirmed that the new approach is highly accurate. The success of the new approach opens a unique opportunity to develop analytical methods for estimating the relative efficiencies of the substitution models in a straightforward way.     

Selecting thresholds of occurrence in the prediction of species distributions

Transforming the results of species distribution modelling from probabilities of or suitabilities for species occurrence to presences/absences needs a specific threshold. Even though there are many approaches to determining thresholds, there is no comparative study. In this paper, twelve approaches were compared using two species in Europe and artificial neural networks, and the modelling results were assessed using four indices: sensitivity, specificity, overall prediction success and Cohen's kappa statistic. The results show that prevalence approach, average predicted probability/suitability approach, and three sensitivity-specificity-combined approaches, including sensitivity-specificity sum maximization approach, sensitivity-specificity equality approach and the approach based on the shortest distance to the top-left corner (0,1) in ROC plot, are the good ones. The commonly used kappa maximization approach is not as good as the afore-mentioned ones, and the fixed threshold approach is the worst one. We also recommend using datasets with prevalence of 50% to build models if possible since most optimization criteria might be satisfied or nearly satisfied at the same time, and therefore it's easier to find optimal thresholds in this situation.     

Towards autonomic performance management of large scale data centers using interaction balance principle

In this paper, an autonomic performance management approach is introduced that can be applied to a general class of web services deployed in large scale distributed environment. The proposed approach utilizes traditional large scale control-based algorithms by using interaction balance approach in web service environment for managing the response time and the system level power consumption. This approach is developed in a generic fashion that makes it suitable for web service deployments, where web service performance can be adjusted by using a finite set of control inputs. This approach maintains the service level agreements, maximizes the revenue, and minimizes the infrastructure operating cost. Additionally, the proposed approach is fault-tolerant with respect to the failures of the computing nodes inside the distributed deployment. Moreover, the computational overhead of the proposed approach can also be managed by using appropriate value of configuration parameters during its deployment.     

The analysis of QTL by simultaneous use of the full linkage map

An extension of interval mapping is presented that incorporates all intervals on the linkage map simultaneously. The approach uses a working model in which the sizes of putative QTL for all intervals across the genome are random effects. An outlier detection method is used to screen for possible QTL. Selected QTL are subsequently fitted as fixed effects. This screening and selection approach is repeated until the variance component for QTL sizes is not statistically significant. A comprehensive simulation study is conducted in which map uncertainty is included. The proposed method is shown to be superior to composite interval mapping in terms of power of detection of QTL. There is an increase in the rate of false positive QTL detected when using the new approach, but this rate decreases as the population size increases. The new approach is much simpler computationally. The analysis of flour milling yield in a doubled haploid population illustrates the improved power of detection of QTL using the approach, and also shows how vital it is to allow for sources of non-genetic variation in the analysis.     

Testing mode of inheritance of a candidate mutation at a quantitative trait locus

Here is presented an approach to testing whether the effect of a candidate gene on a quantitative trait is dominant and for testing whether the effect is recessive. The approach uses parental genotype information in nuclear families to adjust for bias due to population admixture. The approach is applicable regardless of the nature of the sampling. The results of an application of the methods to a candidate mutation for diabetic nephropathy are used for illustration.     

An investigation into the usefulness of a cladistic approach to the study of the origin of anatomically modern humans

Cladistic analyses for the study of hominid evolution become very common during the last two decades, but little attention has been given to the appropriateness of the approach to studies being undertaken. This paper discusses how cladistic analyses have been used in studies of late Middle and Upper Pleicostocene hominids without due consideration of the problems inherent within the approach. It is concluded that in studies of the origin of anatomicaly modern humans a strict cladistic approach is inappropriate because it takes too narrow a view (presence/absence) of morphology, and in doing so does not allow for morphological variation. A phenetic approach which is interested in overall morphological similarity based on many characters and attempts to sample the total morphological variability evident within a sample would seem a more appropriate approach in such studies.     

Validation,Replication, and Sensitivity Testing of Heckman-Type Selection Models to Adjust Estimates of HIV Prevalence

A recent study using Heckman-type selection models to adjust for non-response in the Zambia 2007 Demographic and Health Survey (DHS) found a large correction in HIV prevalence for males. We aim to validate this finding, replicate the adjustment approach in other DHSs, apply the adjustment approach in an external empirical context, and assess the robustness of the technique to different adjustment approaches. We used 6 DHSs, and an HIV prevalence study from rural South Africa to validate and replicate the adjustment approach. We also developed an alternative, systematic model of selection processes and applied it to all surveys. We decomposed corrections from both approaches into rate change and age-structure change components. We are able to reproduce the adjustment approach for the 2007 Zambia DHS and derive results comparable with the original findings. We are able to replicate applying the approach in several other DHSs. The approach also yields reasonable adjustments for a survey in rural South Africa. The technique is relatively robust to how the adjustment approach is specified. The Heckman selection model is a useful tool for assessing the possibility and extent of selection bias in HIV prevalence estimates from sample surveys.     

An Adjusted Likelihood Ratio Approach Analysing Distribution of Food Products to Assist the Investigation of Foodborne Outbreaks

In order to facilitate foodborne outbreak investigations there is a need to improve the methods for identifying the food products that should be sampled for laboratory analysis. The aim of this study was to examine the applicability of a likelihood ratio approach previously developed on simulated data, to real outbreak data. We used human case and food product distribution data from the Norwegian enterohaemorrhagic Escherichia coli outbreak in 2006. The approach was adjusted to include time, space smoothing and to handle missing or misclassified information. The performance of the adjusted likelihood ratio approach on the data originating from the HUS outbreak and control data indicates that the adjusted approach is promising and indicates that the adjusted approach could be a useful tool to assist and facilitate the investigation of food borne outbreaks in the future if good traceability are available and implemented in the distribution chain. However, the approach needs to be further validated on other outbreak data and also including other food products than meat products in order to make a more general conclusion of the applicability of the developed approach.     

经肛门改良Soave 术和经腹治疗先天性巨结肠的疗效对比研究

目的:探讨经肛门改良Soave术和经腹治疗先天性巨结肠的临床疗效。方法:对大于3岁的41例患儿(经肛门改良Soave术治疗28例,经腹治疗24例,在术后并发症和排便功能等方面进行回顾性对比分析。结果:并发症的总发生率经肛门改良Soave术明显少于经腹,HAEC发生率低于经腹组,有统计学意义。总的排便控制和大便形态方面经肛门改良Soave术优于经腹。结论:经肛门改良Soave术治疗先天性巨结肠方法可行、安全,效果优于经腹,但是术后仍有诸多并发症,特别在排便控制方面,仍需大量的病例进行长期的随访研究评估。     

The case for the hybrid capital approach for the measurement of the welfare and sustainability

This paper provides an overview of the plethora of approaches that are available to measure welfare and sustainable development. Many methods exist but there is no consensus on the ‘correct’ approach. Furthermore, we also show that the wide variety of sustainable development indictor (SDI) sets which have been adopted also show significant differences. We argue that this is mostly because many of these studies do not use a theoretical approach. We argue that the ‘capital approach’, which is used in the sustainability debate, is the most promising method to enhance international harmonization. Support is mounting in the scientific, policy and statistical communities for this approach in which economic capital, human capital, natural capital and social capital are distinguished. Many applications of this method express these capital stocks in monetary units (the ‘monetary capital approach’). This paper argues that the ‘hybrid capital approach’, in which the capital stocks can also be measured in non-monetary units, is probably more likely to achieve consensus over a large number of countries and institutes. Also a number of challenges remain for the capital approach. We argue that ideally the indicators should be based on satellite accounts of the national accounting framework. Also the capital approach could be further expanded to current welfare, progress of societies, inequality, and the international dimension of sustainability. We conclude that if the hybrid capital approach is adopted it may become easier to make consistent, theoretically sound and policy relevant comparisons between countries.     

胫骨髓内钉入路治疗胫骨干骨折的临床进展

胫骨干骨折是最常见的长骨骨折,对于不稳定的胫骨骨折,胫骨髓内钉因其独特的优势逐渐成为首选治疗方式。当前对于胫骨干髓内钉入路主要分为髌骨上入路和髌骨下入路。髌骨上入路放置髓内钉时,患肢半伸直位有利于胫骨干骨折的复位与固定,但可能会造成髌骨关节面损伤。髌骨下入路患肢屈曲位可能会造成胫骨干复位的丢失,进而影响患者的预后。因此,胫骨髓内钉置入不同入路可能造成不同临床结局,会对临床结局造成不同的影响。目前对于胫骨髓内钉最佳入路仍然存在争议,针对最近发表的相关文献我们对胫骨髓内钉入路及其优缺点进行讨论综述。     

A simulation study of the effects of assignment of prior identity-by-descent probabilities to unselected sib pairs, in covariance-structure modeling of a quantitative-trait locus.

Sib pair-selection strategies, designed to identify the most informative sib pairs in order to detect a quantitative-trait locus (QTL), give rise to a missing-data problem in genetic covariance-structure modeling of QTL effects. After selection, phenotypic data are available for all sibs, but marker data-and, consequently, the identity-by-descent (IBD) probabilities-are available only in selected sib pairs. One possible solution to this missing-data problem is to assign prior IBD probabilities (i.e., expected values) to the unselected sib pairs. The effect of this assignment in genetic covariance-structure modeling is investigated in the present paper. Two maximum-likelihood approaches to estimation are considered, the pi-hat approach and the IBD-mixture approach. In the simulations, sample size, selection criteria, QTL-increaser allele frequency, and gene action are manipulated. The results indicate that the assignment of prior IBD probabilities results in serious estimation bias in the pi-hat approach. Bias is also present in the IBD-mixture approach, although here the bias is generally much smaller. The null distribution of the log-likelihood ratio (i.e., in absence of any QTL effect) does not follow the expected null distribution in the pi-hat approach after selection. In the IBD-mixture approach, the null distribution does agree with expectation.     

Petri net modeling of high-order genetic systems using grammatical evolution

Understanding how DNA sequence variations impact human health through a hierarchy of biochemical and physiological systems is expected to improve the diagnosis, prevention, and treatment of common, complex human diseases. We have previously developed a hierarchical dynamic systems approach based on Petri nets for generating biochemical network models that are consistent with genetic models of disease susceptibility. This modeling approach uses an evolutionary computation approach called grammatical evolution as a search strategy for optimal Petri net models. We have previously demonstrated that this approach routinely identifies biochemical network models that are consistent with a variety of genetic models in which disease susceptibility is determined by nonlinear interactions between two DNA sequence variations. In the present study, we evaluate whether the Petri net approach is capable of identifying biochemical networks that are consistent with disease susceptibility due to higher order nonlinear interactions between three DNA sequence variations. The results indicate that our model-building approach is capable of routinely identifying good, but not perfect, Petri net models. Ideas for improving the algorithm for this high-dimensional problem are presented.