基于灰色关联分析的车辆交通事故规律研究

针对车辆交通事故统计数据少、事故原因划分模糊等特点,运用灰色系统理论思想,建立车辆交通事故灰色关联分析模型。根据车辆交通事故起数、死亡人数、受伤人数与各事故原因之间的灰色关联度,计算车辆交通事故因素关联序,确定车辆交通事故各原因的重要程度。分析影响车辆交通事故的最优支配因素,并据此研究车辆交通事故规律。研究结果表明,部队汽车驾驶员交通违法是造成车辆交通事故的主要原因,违法违纪成为制约车辆安全管理的一个重点和难点问题。     

基于Gray评价方法的安徽工业主导产业选择及培育研究

在分析安徽工业产业的基础上,根据主导产业理论和主导产业的特征,建立了工业主导产业选择指标体系。应用Gray评价方法,对23个主要工业行业进行研究,确定仪器仪表及文化办公用机械制造业、电气机械及器材制造业、交通运输设备制造业、通讯设备计算机及其他电子设备制造业、废弃资源和废旧材料回收工业共5个工业行业为安徽省工业主导产业,并对工业主导产业的培育问题给出了相关建议与对策。     

山西历山山地草甸生物多样性、优势种和土壤因素对群落生产力的影响

自然生态系统生产力同生物多样性、优势种功能性状和土壤性质等多因素紧密关联,因此,受到多变量过程的综合调控。利用结构方程模型研究了山西历山山地草甸物种多样性、功能多样性、优势种功能性状和土壤等多变量因素对群落生产力的影响。结果表明：除了物种多样性外（γ=0.10,P=0.69）,优势种功能性状（γ=0.61,P=0.00）、功能多样性（γ=0.47,P=0.04）和土壤因素（γ=0.34,P=0.02）直接影响群落生产力,并且土壤因素还通过改变优势种功能性状和功能多样性的方式间接影响群落生产力（间接影响系数分别为0.35、0.27）。优势种功能性状是预测群落生产力变化的最佳变量,其次是功能多样性和土壤因素。因此,理解自然生态系统生产力变化应在引入多元方法的前提下,重点考虑优势种功能性状因素。     

Prenatal diagnosis of autosomal dominant polycystic kidney disease using flanking DNA markers and the polymerase chain reaction

A prenatal diagnosis was carried out on a 9-week-old fetus at risk for autosomal dominant polycystic kidney disease (ADPKD). Ten members of the family were previously typed using five DNA markers linked to the PKD1 locus on chromosome 16, and one marker linked to the putative PKD2 locus on chromosome 2. The polymerase chain reaction (PCR) was used to amplify the D16S125 locus. Pairwise and multipoint lod scores indicated that the family was most likely segregating a PKD1 mutation. The fetus inherited the disease haplotype from the affected parent. Diagnostic accuracy was greater than 99 per cent, taking into account the possibility of genetic heterogeneity.     

Prenatal detection of the autosomal dominant type of congenital hydronephrosis by ultrasonography

We report a family with clearly defined two generation, and probable four generation uropathy due to a congenital malformation of the genitourinary system. There appears to be variation in expression within this family and a severely affected fetus was detected by ultrasonography at 31 weeks gestation.     

Adaptability of microbial inoculators and their contribution to degradation of mineral oil and PAHs

Five dominant bacteria strains（A cetobacter sp., Alcdigenes sp., Micrococcus sp., Arthrobacter sp. and Bacillus sp.） and five fungi strains （Cephalosporium sp. Ⅰ, Cephalosporlum sp. Ⅱ, Aspergillus sp. Ⅰ, Aspergillus sp. Ⅱ and Fusarium sp.） isolated from petroleum-contaminated soil were used to assess the potential capability of mineral oil and PAH enhanced degradation separately and jointly using the batch liquid medium cultivation with diesel oil spiked at 1000 mg/L. The experiment was performed on a reciprocal shaker in the darkness at 25℃ to 30℃ for 100 d. The dynamic variation in the activity of microbial inoculators in each treatment and the degradation of the target pollutants during the period of experiment were monitored. Results showed a more rapid biodegradation of mineral oil and PAHs at the beginning of the experiment （about 20 d） by dominant bacteria, fungi and their mixture than that of the indigenous microorganisms, however, thereafter an opposite trcnd was exhibited that the removal ratio by indigenous microorganisms was superior to any other dominant treatments and the tendency lasted till the end of the experiment, indicating the limited competitive capability of dominant microorganisms to degrade the contaminants, and the natural selection of indigenous microorganisms for use in the removal of the contaminants. At the end of the experiment, the removal ratio of mineral oil ranged from 56.8 % to 79.2 % and PAHs ranged from 96.8 % to 99.1% in each treatment by microbial inoculators,     

淮南矿区采煤塌陷积水区水生态环境研究

采煤塌陷积水区是煤矿开采造成的重要地质灾害之一，目前它已成为淮南市地表水体的一种特殊组成部分。通过对淮南矿区采煤塌陷积水区概况和利用现状的分析，以及对塌陷积水区水生生态环境状况和目前的生态状况水体所能支持的功能用途的简单综合评价。发现淮南矿区采煤塌陷积水区水生态环境已受到一定程度的污染，加强对塌陷积水区生态环境的监管势在必行。     

湖南木兰科新分类群

本文描述了湖南木兰科4个新分类群:重瓣紫玉兰、大叶云山白兰、铜色含笑和凹叶拟单性木兰。     

Developing a Monitoring Program for Invertebrates: Guidelines and a Case Study

Abstract:  Invertebrates provide the majority of ecosystem services; thus, it is important that they be inventoried, monitored, and protected. Nevertheless, inventories, monitoring, and management generally focus on vertebrates and flowering plants. Consequently, there are few guidelines or case studies for invertebrates. We present a procedure for developing a monitoring program for species-rich invertebrates that entails (1) characterizing the community; (2) identifying surrogates for biodiversity; and (3) establishing efficient methods to monitor surrogates and any ecologically important or sensitive taxa. We used these procedures, biodiversity-based statistical advances, and a survey of arthropods to develop a monitoring plan for the forests of Shenandoah National Park, Virginia (U.S.A.). Our case study revealed that mixed hardwood and hemlock forests had significantly different compositions of arthropods in their soil and understory strata. Of the 10 orders tested Coleoptera and Hymenoptera were the only two to pass most of the five surrogate tests, and their combination improved predictions of overall arthropod diversity. Because arthropods represent the majority of macroscopic species in most ecosystems, the ability of this assemblage to predict overall arthropod diversity makes it a powerful surrogate. Of the 11 collecting methods used, the beat-sheet method was the most efficient for monitoring this surrogate assemblage. To complement this coarse-filter approach to monitoring at-risk, invasive, or other important taxa (fine filter), we used ordination analyses to match 66 taxa with the methods that most effectively sampled them. Our methods serve as a model for developing an invertebrate monitoring plan and should facilitate linking such monitoring with ecosystem functions and management.