334 resultados para 2308


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报道了团藻目(Volvocales)4个属的10个种和变种,其中包括3个新变种:单胞衣藻分离变种Chlamy-domonasmonadinasteinvar.separatis,假球四鞭藻穿孔变种CarteriapseudoglobosaEttlvar.perforata,戈利翼膜藻钟形变种PtermonasgolenkinianaPaschervar.campariformis,5个中国新记录种和2个中国新记录变种。

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State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often combine outputs from multiple sub-systems that may even be developed at different sites. Cross system adaptation, in which model adaptation is performed using the outputs from another sub-system, can be used as an alternative to hypothesis level combination schemes such as ROVER. Normally cross adaptation is only performed on the acoustic models. However, there are many other levels in LVCSR systems' modelling hierarchy where complimentary features may be exploited, for example, the sub-word and the word level, to further improve cross adaptation based system combination. It is thus interesting to also cross adapt language models (LMs) to capture these additional useful features. In this paper cross adaptation is applied to three forms of language models, a multi-level LM that models both syllable and word sequences, a word level neural network LM, and the linear combination of the two. Significant error rate reductions of 4.0-7.1% relative were obtained over ROVER and acoustic model only cross adaptation when combining a range of Chinese LVCSR sub-systems used in the 2010 and 2011 DARPA GALE evaluations. © 2012 Elsevier Ltd. All rights reserved.

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The origins and phylogenetic patterns were assessed for G. przewalskii and G. eckloni by analyzing the complete mtDNA cytochrome b gene sequence (1140bp). Phylogenetic analyses further supported that there were three mtDNA lineages (A-C) identified in G. przewalskii and G. eckloni, demonstrating that outer rakers of the first gill have little significance in the phylogeny of the Gymnocypris fishes. The network established showed that G. eckloni of the Yellow River specific haplotype A1 was a founder and it radiated all haplotypes of G. przewalskii which suggested G. przewalskii might only originate from one of two maternals of G. eckloni from the Yellow River. Fs test and mismatch analysis showed at least two expansion events in the population of G. przewalskii about 0.2734 Ma and 0.0658 Ma, while G. eckloni from Qaidam Basin could have experienced severe bottleneck effect about 0.0693 Ma. The population expansion was detected in subclades A1 and A21 with the most recent common ancestor (TMRCA) about 0.2308 +/- 0.01 Ma and 0.1319 +/- 0.015 Ma, respectively, which were within the geological age range of "Gonghe Movement" event that caused the separation of Lake Qinghai from the upper Yellow River. These results suggested the effect of the fish diversification by rapid uplift of the Qinghai-Tibetan Plateau in the Late Pleistocene.

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本文以牧草为材料 ,阐述了辐射敏感性的类型划分方法。将异花授粉牧草沙打旺辐照当代的种子直接播种在≥ 1 0℃ (年积温 2 3 0 8℃ )的低温下 ,提高了突变体的适应性 ,增加了选择的准确性 ,缩短了育种周期 ;M1代产生了显性早熟突变 ,M2 代有 2 7 2 %的植株保持早熟 ,比对照早开花 1 6~ 5 1d ,但仍有分离 ;5年育成彭阳早熟沙打旺 ,能在≥ 1 0℃ (年积温 1 847℃ )的地区开花结籽 ;播种当年始花序着生叶位与出苗至开花天数、株高和一级分枝呈极显著正相关。选育产草量高且早熟的沙打旺新品种 ,始花序叶位以在 9~ 1 0个为宜

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The density and distribution of spatial samples heavily affect the precision and reliability of estimated population attributes. An optimization method based on Mean of Surface with Nonhomogeneity (MSN) theory has been developed into a computer package with the purpose of improving accuracy in the global estimation of some spatial properties, given a spatial sample distributed over a heterogeneous surface; and in return, for a given variance of estimation, the program can export both the optimal number of sample units needed and their appropriate distribution within a specified research area. (C) 2010 Elsevier Ltd. All rights reserved.

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Permian reservoir in Sulige area of Ordos Basin, on which this paper focused, belongs to fluvial-delta lithofacies. The majority formations in this area are complicated channel sand deposit with serious inhomogeneity which makes natural gas exploration be very tough in this area. This inhomogeneity can be found everywhere both in large horizontal area and vertical profile of inner and interbedded formations.This paper studied the inhomogeneity characteristic of Permian formation in sulige area of Ordos Basin according to the logging data.Correlating with core data, a criterion to distinguish different type of reservoirs by using logging data is determined after the study of logging response is done considering the diverse conditions of deposit environments, lithology and reservoir space. The characteristic relationships between the various type formations and logging responses fully and systemically are established.It investigated reservoir parameter calculation methods amply. Combining the conventional and special logging data, basing on the feature of low porosity -permeability formation of sulige area, a set of methods to calculate reservoir parameters was formed including primary porosity, secondary porosity, fracture porosity, permeability and water saturation under the conditions of both low porosity-permeability and inhomogenous reservoirs. One thing should be pay close attention is the parameter M for calculating saturation. It is found that the M in low porosity -permeability formation decreases as the porosity decrease, which is opposite to the law that M increases as the porosity decrease in the formation with intermediate to high porosity and permeability. This view has innovated the traditional theory and offered theory basis for the logging interpretation of low porosity - permeability reservoir. Meanwhile it also improved the Arqi formula theoretically and enhanced the logging interpretation accuracy and rescued a number of formations which has been thought to be hopeless according to the old theory.By using advantage logging interpretation procedure, a territorial synthetic geology evaluation to the inhomogeneous reservoir was completed basing on the single well interpretation. All the reservoir evaluation parameters including sand formation thickness, primary porosity, secondary porosity were calculated and evaluated. The rules of changing and development for sand formation thickness, sand physical properties and secondary porous were found at different formations of upper part of the Member 8 of Shihezi, lower part of the Member 8 of Shihezi, the Member 1 of shanxi and the Member 2 of shanxi individually. Evaluation and Correlation of these five formations were also completed and one conclusion was arrived: upper part of the Member 8 of Shihezi formation has the best performance followed by the lower part of the Member 8 of Shihezi, the Member 1 of shanxi and the Member 2 of shanxi formation.After studied the relationship between reservoir deposition characteristic and the natural gas richness, it is regarded that reservoir inhomogeneity is the key issue of the impaction on the natural gas. Natural gas in Sulige gas field was mainly accumulated in sands of channel bar, distributary channel and debouchure bar. Especially, the quartz sand with rich of secondary porous space has obvious better physical properties than other reservoir and usually can forms the concentration of natural gas.

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DNA methylation is a key epigenetic mechanism involved in the developmental regulation of gene expression. Alterations in DNA methylation are established contributors to inter-individual phenotypic variation and have been associated with disease susceptibility. The degree to which changes in loci-specific DNA methylation are under the influence of heritable and environmental factors is largely unknown. In this study, we quantitatively measured DNA methylation across the promoter regions of the dopamine receptor 4 gene (DRD4), the serotonin transporter gene (SLC6A4/SERT) and the X-linked monoamine oxidase A gene (MAOA) using DNA sampled at both ages 5 and 10 years in 46 MZ twin-pairs and 45 DZ twin-pairs (total n=182). Our data suggest that DNA methylation differences are apparent already in early childhood, even between genetically identical individuals, and that individual differences in methylation are not stable over time. Our longitudinal-developmental study suggests that environmental influences are important factors accounting for interindividual DNA methylation differences, and that these influences differ across the genome. The observation of dynamic changes in DNA methylation over time highlights the importance of longitudinal research designs for epigenetic research.