Prenatal diagnosis of genetic microcephaly

True microcephaly can be diagnosed at an early stage of gestation by serial measurements of fetal head growth as demonstrated by this case report in which the diagnosis of genetic microcephaly was made but termination refused. True microcephaly was evident at birth.     

遗传和模拟退火算法在水质模型参数确定中的应用简介

水质模型参数的确定是构建水质模型的基础。相对于传统优化方法,现代优化算法的优势日趋明显。本文在基于现代优化算法的水质模型参数确定研究背景下,介绍了具有代表性的遗传算法和模拟退火算法,并对该两种算法的应用现状进行综述,旨在推进该领域的进一步探索。     

Impact of genetic diversity and inbreeding on the life-history of Chironomus midges over consecutive generations

We report results of a multigenerational experiment with Chironomus riparius. Two strains with a high and a low level of genetic variability were exposed to a low, environmentally relevant TBT concentration of 80 μg Sn kg⁻¹ sediment dw nominally (time weighted mean, based on measured concentrations: 4.5 μg Sn kg⁻¹ sediment dw), and various life history traits as well as genetic diversity were monitored for eleven consecutive generations. While TBT effects are hardly visible in the outbred and genetically diverse strain, the inbred and genetically impoverished strain shows a clearly reduced population growth rate compared to the control. Moreover, the impoverished strain shows an increase in fitness over time. Analyses of variation at five microsatellite loci revealed that the level of genetic variation is strongly reduced in the inbred compared to the outbred strain. Moreover, genetic diversity increases over time in the inbred strain. This finding explains the observed increase in fitness in both inbred lineages (control and TBT exposed). The results document that inbreeding and the level of genetic diversity might be of crucial importance in populations under pollution stress. Furthermore, ecotoxicological bioassays have to consider genetic diversity if results between laboratories should be comparable. Our data provides evidence that genetic diversity strongly contributes to the survival of a population exposed to chemical pollution.     

Temporal and geographical genetic variation in the amphipod Melita plumulosa (Crustacea: Melitidae): Link of a localized change in haplotype frequencies to a chemical spill

Anthropogenic effects such as contamination affect the genetic structure of populations. This study examined the temporal and geographical patterns of genetic diversity among populations of the benthic crustacean amphipod Melita plumulosa in the Parramatta River (Sydney, Australia), following an industrial chemical spill. The spill of an acrylate/methacrylate co-polymer in naphtha solvent occurred in July 2006. M. plumulosa were sampled temporally between December 2006 and November 2009 and spatially in November 2009. Genetic variation was examined at the mitochondrial cytochrome c oxidase subunit I locus. Notably, nucleotide diversity was low and Tajima’s D was significantly negative amongst amphipods collected immediately downstream from the spill for 10 months. We hypothesize that the spill had a significant localized effect on the genetic diversity of M. plumulosa. Alternate explanations include an alternate and unknown toxicant or a localized sampling bias. Future proposed studies will dissect these alternatives.     

基于探采对比的煤层瓦斯含量分析及预测

针对新建矿井地勘瓦斯含量测值偏低和井下实测瓦斯含量较少的特点,结合工程和科研实践,提出了利用大量的工作面瓦斯涌出量反演煤层原始瓦斯含量技术和基于探采对比的煤层瓦斯含量预测方法。以邹庄井田32煤层为研究对象,在考虑瓦斯抽采情况下计算3204工作面瓦斯涌出量,并反演该工作面煤层原始瓦斯含量。通过对比采掘过程中获得的瓦斯含量和地勘瓦斯含量,得到不同钻孔深度时的地勘瓦斯含量修正系数,并采用瓦斯地质研究方法对32煤层分3个单元进行瓦斯含量预测。结果表明:32煤层瓦斯含量整体呈现"东部大于西部,北部大于南部"的规律,与临近矿井具有相似的瓦斯赋存规律。这表明利用探采对比的方法预测煤层瓦斯含量是可靠的。     

资源所在地的利益补偿机制初探——以油气田资源开发为例

油气资源作为战略性资源,关系到经济发展、社会稳定、国家安全和全面建设小康社会目标的顺利实现。资源所在地为国家建设输出了大量的能源,本地的经济发展却依然处于落后状况,导致目前资源所在地出现了种种矛盾和冲突。究其原因,主要是缺乏对资源所在地的利益补偿机制所致。以油气田资源开发的利益分配现状为例,指出目前的利益分配中主要存在资源所在地税收分配收益少、开发带来的生态污染补偿缺失、油气田项目征地补偿过低、资源开发没有促进资源所在地的经济发展等问题,从福利经济学、公共政策管理的相关理论提出了构建利益补偿机制的理论依据,并在此基础上提出了收益向资源所在地倾斜、实行生态补偿、创新征地补偿方式和资源就地转化的政策建议。     

Evolution of tolerance to PCBs and susceptibility to a bacterial pathogen (Vibrio harveyi) in Atlantic killifish (Fundulus heteroclitus) from New Bedford (MA, USA) harbor

A population of the non-migratory estuarine fish Fundulus heteroclitus (Atlantic killifish) resident to New Bedford (NB), Massachusetts, USA, an urban harbor highly contaminated with polychlorinated biphenyls (PCBs), demonstrates recently evolved tolerance to some aspects of PCB toxicity. PCB toxicology, ecological theory, and some precedence supported expectations of increased susceptibility to pathogens in NB killifish. However, laboratory bacterial challenges of the marine pathogen Vibrio harveyi to wild fish throughout the reproductive season and to their mature laboratory-raised progeny demonstrated comparable survival by NB and reference killifish, and improved survival by NB males. These results are inconsistent with hypothesized trade-offs of adaptation, and suggest that evolved tolerance in NB killifish may include mechanisms that minimize the immunosuppressive effects of PCBs. Compensatory strategies of populations persisting in highly contaminated environments provide a unique perspective for understanding the long-term ecological effects of toxic chemicals.     

编制企业事故应急预案的实践与探索

企业编制事故应急预案是在新形势下面临的新任务，也是《安全生产法》赋予企业的责任。通过介绍编制《事故应急预案与急救措施》的具体实践，探索了一些编制事故应急预案的程序和原则。     

Simulation-based fault propagation analysis—Application on hydrogen production plant

Recently production of hydrogen from water through the Cu–Cl thermochemical cycle is developed as a new technology. The main advantages of this technology over existing ones are higher efficiency, lower costs, lower environmental impact and reduced greenhouse gas emissions. Considering these advantages, the usage of this technology in new industries such as nuclear and oil is increasingly developed. Due to hazards involved in hydrogen production, design and implementation of hydrogen plants require provisions for safety, reliability and risk assessment. However, very little research is done from safety point of view. This paper introduces fault semantic network (FSN) as a novel method for fault diagnosis and fault propagation analysis by using evolutionary techniques like genetic programming (GP) and neural networks (NN), to uncover process variables’ interactions. The effectiveness, feasibility and robustness of the proposed method are demonstrated on simulated data obtained from the simulation of hydrogen production process in Aspen HYSYS^®. The proposed method has successfully achieved reasonable detection and prediction of non-linear interaction patterns among process variables.