祁连山北部基岩河道宽度对构造和岩性的响应

活动造山带基岩河流地貌研究,目前已成为构造地貌学研究的前沿和热点。河道宽度形态的调整变化是基岩河流响应构造、岩性和气候等扰动的重要方式之一。通过研究祁连山北部地区6个重点流域基岩河道的宽度形态发现：河道宽度总体上呈现出东西向和南北向的变化特征,河道向下游增宽的速率,东段地区显著高于中段地区,低山带显著高于高山带;对比河道宽度的变化特征与构造抬升速率及岩性抗蚀性的变化,可以推断：在祁连山北部地区,基岩河道宽度响应构造抬升和岩性抗蚀性的变化进行了系统地调整,构造抬升控制了流域河道宽度变化的总体趋势,而岩性抗蚀性变化则导致了流域内部局部河段河道宽度的大幅波动。在祁连山北部地区开展的基岩河道宽度形态研究,为利用基岩河道形态研究造山带的构造变形奠定了基础,对于探索构造抬升背景下地貌的发育过程具有十分重要的意义。

     

A comparison of three widely used GPS triple-frequency precise point positioning models

GPS Solutions - The EUREF Permanent Network (EPN) is a network of continuously operating GNSS stations installed throughout the European continent. The EPN Central Bureau (CB) performs the...     

Cloning and phylogenetic analysis of a fatty acid elongase gene from Nannochloropsis oculata CS179

Nannochloropsis oculata CS179, a unicellular marine microalga, is rich in long-chain polyunsaturated fatty acids (LCPUFAs). Elongase and desaturase play a key role in the biosynthesis of PUFAs. A new elongase gene, which encodes 322 amino acids, was identified via RT-PCR and 5′ and 3′ RACE. The sequence of the elongase gene was blast-searched in the NCBI GenBank and showed a similarity to those of the cryptosporidium. But the NJ-tree revealed that the N. oculata CS179 elongase clustered with those of the microalgae Phaeodactylum tricornutum, Ostreococcus tauri and Thalassiosira pseudonana.     

海洋毒素大田软海绵酸完全抗原的制备与分析

为了建立大田软海绵酸(Okadaic acid,0A)的免疫学检测方法,利用活泼酯法将OA分子中的羧基与栽体蛋白上的氨基偶联,人工制备OA的免疫抗原(OA-IgG)和检测抗原(OA-BSA),经电泳、动物实验及ELISA法进行了鉴定,完全抗原的偶联成功,为利用杂交瘤技术制备OA的单克隆抗体和海产品OA免疫学检测方法奠定了良好的基础.     

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Comparative analysis on microbial community associated with different gastrointestinal regions of wild northern snakehead Channa argus Cantor, 1842

Microbial communities in different gastrointestinal regions(stomach, foregut, midgut, and hindgut) of the northern snakehead C hanna argus(Cantor, 1842) were compared by polymerase chain reaction and partial 16 S r DNA sequencing. A total of 194, 140, 212, and 122 OTUs were detected in the stomach, foregut, midgut, and hindgut, respectively. Significant dif ferences were found in the Sobs, ACE, Shannon, and Simpson indices among samples(P 0.05). The gastrointestinal microbial community of C. argus consisted predominantly of Proteobacteria with either H alomonas, Shewanella, Plesiomonas, or Sphingomonas. Fusobacteria, Firmicutes, and Bacteroidetes also existed in the gastrointestinal tracts. However, significant diff erences were found in the compositions of microbial community among the four regions( P 0.05). Cyanobacteria and Spirochetes were significantly higher in the midgut and hindgut( P 0.05). Fusobacteria and Firmicutes were dominant in the hindgut and foregut, respectively(P 0.05). Proteobacteria was the lowest in the hindgut( P 0.05). At genus level, C etobacterium and Plesiomonas were significantly higher in the hindgut than in the other three samples( P 0.05). Clostridium and Prevotella were the highest in the midgut(P 0.05). Halomonas, Shewanella, and S phingomonas were the highest in the foregut( P 0.05). Paracoccus and Vibrio were the highest in the stomach. Several genera were only detected in certain regions, as follows: stomach, P aracoccus and Vibrio; foregut, Halomonas, Shewanella, and Sphingomonas; midgut, Clostridium and Prevotella; and hindgut, C etobacterium and Plesiomonas( P 0.05). At the species level, A cinetobacter rhizosphaerae was only detected in the stomach. P revotella copri and Clostridium perfring were not detected in the foregut and midgut, respectively, whereas Prevotella copri and Faecalibacterium pra were not detected in the hindgut. These findings provide valuable information on the microbial community in each gastrointestinal region of C. argus. Moreover, this study indicated that microbial community was not only related to rearing environment but also to the physico-chemical characteristics of each gastrointestinal region.     

机载LiDAR地形特征信息快速提取

为更有效地获取地形特征信息,提出一种机载LiDAR地形特征信息快速提取算法。首先,通过构建二次曲面拟合模型,建立实测LiDAR地形数据与拟合曲面的几何规则;然后,采用LM算法迭代参数寻优,获得最优化结果下的地形拟合参数,计算拟合时间及拟合精度;最后,以地形拟合模型为基础,进行地形特征信息的快速提取。通过机载LiDAR实测数据验证,当最优搜索半径为2 m时,地形曲面的拟合时间仅为0.02 s,RMSE仅为5.09 cm。该算法保证了地形特征信息提取效率和精度,能够有效满足机载LiDAR科学研究和工程应用的技术需求。     

新矿物—彭志忠石的发现及研究

彭志忠石产于湖南安化白钨矿区,是一种富含镁、锡、铝的复杂氧化物。矿物为浅黄褐色、浅黄色,少量无色,晶体呈六方板状。晶体化学式为:(Mg,Zn,Fe,Al)_4(Sn,Fe)_2(Al,□)_(10)O_(22)(OH)_2,空间群P_3ml,a=5.692(5)A,c=13.78(2)A,V=386.7A~3,Z=1。D=4.22(3)g/cm~3,H≥8,一轴正晶,ω=1.802(2),ε=1.814(2)。