浅述多元数据处理的一种简化拟合形式及算法剖析

在实际工程试验与研究中 ,多元数据处理经常遇到 ,根据 Weierstrass定理 ,采用多项式拟合是一种常见的数据处理方法。对于多元多项式的系数求解问题 ,可以归结为超定方程组的求解问题。该文以超定方程组的 SVD求解算法为核心 ,阐述了在工程实际中关于多元数据处理的一种应用方法 ,并尝试给出多元多项式拟合的一种简化方法     

Bulk particulate organic carbon in the East China Sea: Tidal influence and bottom transport

Five oceanographic surveys were carried out in the East China Sea (ECS) and Yellow Sea from 1999 to 2003. In all, seven different sections were surveyed, but one section (the PN section) was observed on every cruise. Two time-series stations were also surveyed, one located at the Changjiang River mouth, the other over the continental shelf in the PN section.We identified biogeochemical characteristics for waters close to the Changjiang Estuary and in the Kuroshio waters (KW), respectively. Resuspension is a strong feature near bottom over the ECS continental shelf, with suspended matter values 13 times higher than that for the surface. A model of particulate organic carbon (POC) dynamics based on a rectangle equation reveals that POC concentration close to the Changjiang Estuary varies with a semidiurnal period of ∼13 h, coinciding with the tidal period. The upper limit for POC residence times in the seasons we covered over the shelf are estimated to be on the order of weeks and generally increase seaward from near the Changjiang Estuary to the KW. Short POC residence times suggest that POC in the ECS is rapidly exported from euphotic waters.A nepheloid layer, observed as elevated suspended matter in near the bottom of the water column, is important in particle transfer over the shelf, especially in winter when the residual current flows mainly eastward. Cross-shelf transport of POC via the nepheloid layer is estimated to be 0.22 × 10¹² g yr⁻¹. Comparison with other work indicates that POC transport is ∼2% of the Changjiang POC input.     

黄海多毛类异毛虫科初步研究

本文对1987～1988年在山东省部分海岛底栖生物调查时发现的异毛虫科5个种进行了详细的描述并配有插图,其中一种为新亚种,另有3个种在我国为首次记录。     

黄渤海底层盐度预报方法的研究

根据二维流体动力学方程和深度平均盐度扩散方程在河口径流量以及蒸发和降水之差为已知情况下构成的闭合方程组,预报出深度平均盐度,然后利用底层盐度与深度平均盐度、水深和时间(月)之间的经验关系,给出底层盐度的二维预报。为了检验试报结果的可靠性,文中将黄渤海底层盐度的试报结果(1979年7月11日,时效为3d)与标准断面观测资料(7月4—14日观测,124.5°E以西,共104站)作一粗略比较。比较表明,试报结果与实测值的相关系数为0.96,均方误差为α=0.26,绝对误差小于0.2和0.3的站数分别占总站数的63.5％和77.0％,而总均绝差为0.19。由此可见,试报的效果是令人满意的。     

协方差阵二次型容许估计的一个必要条件

研究协方差阵Σ的二次型容许估计问题。设 y1,y2 ,… ,yniid,n≥ 2 ,y1与 p维正态分布N (β,Σ )有相同的前四阶矩。其中β =(β1,β2 ,… ,βp)′∈ Rp与Σ =(σij) p× p >0均未知。记 y =△ (y1,y2 ,… ,yn)′。在二次损失 L (d ,Σ ) =tr(d -Σ) 2下给出Σ的二次型估计 a S2 + nby-y-′是容许估计的必要条件为 :(n - 1) a + b + 2 max(a,b)≤ 1。此必要条件比张立振等协方差阵的二次型容许估计中的必要条件有了明显的加强     

生物胺对锯缘青蟹大颚器发育的调节作用

雌性锯缘青蟹(Scylla serrata)于实验的第1天、第5天、第10天，分别注射100μL剂量为1μg／g体质量的5-HT，OA和DA，第15天解剖。结果表明，5-HT对锯缘青蟹大颚器发育具有显的促进作用，OA和DA的作用不明显。经免疫细胞化学检测，大颚器内存在5-HT免疫阳性细胞，免疫阳性细胞多数为卵圆形，少数具有很长的胞突，该结果首次为5-HT参与大颚器的生理活动提供了形态学证据。     

用16S rRNA基因的内切酶图谱快速鉴别几种对虾病原菌

坎普氏弧菌是青岛海洋大学生物系微生物实验室于１９８９－１９９０年自对虾养殖场中国对虾红腿病心脏及血淋巴中分离并鉴定的菌株，副溶血菌和溶藻胶弧菌两菌株于１９９４年９月得自中国科学院微生物研究所，为建立快速、准确的中国对虾病原菌的诊断技术，根据几种细菌的１６ＳｒＲＮＡ基因的序列，设计并合成该基因的多聚酶反应的引物ＰＬ１和ＰＬ２。并用该对引物分别从坎普氏弧菌、副溶血弧菌和溶藻胶弧菌的ＤＮＡ要品中扩增出分     

Comparative research on karyotype in three species of Arcidae

ＣｏｍｐａｒａｔｉｖｅｒｅｓｅａｒｃｈｏｎｋａｒｙｏｔｙｐｅｉｎｔｈｒｅｅｓｐｅｃｉｅｓｏｆＡｒｃｉｄａｅＺｈｅｎｇＪｉａｓｈｅｎｇ；ＷａｎｇＭｅｉｌｉｎ；ＧｕｏＤａｎｈｏｎｇ；ＸｕＸｉｍｉｎｄａｎｄＧａｏＱｉｎｇｌａｎＡｂｓｔｒａｃｔ：Ｂｙａｉｒ－...     

中国对虾新病害—肠结节病的观察

1991年7～8月浙江省宁波、舟山地区一些中国对虾Penaeruschinensis的养虾场中爆发了一种肠结节新病害,危害十分严重。本文报导该病发生与危害的情况以及症状、病原、组织病理观察的结果。     

Prediction of Load Carrying Capacity of Corroded Reinforced Concrete Beam

A novel method for prediction of the load carrying capacity of a corroded reinforced concrete beam (CRCB) is presented in the paper. Nine reinforced concrete beams, which had been working in an aggressive environment for more than 10 years, were tested in the laboratory. Comprehensive tests, including flexural test, strength test for corroded concrete and rusty rebar, and pullout test for bond strength between concrete and rebar, were condueted. The flexural test results of CRCBs reveal that the distribution of surface cracks on the beams shows a fractal behavior. The relationship between the fractal dimensions and mechanical properties of CRCBs is then studied. A prediction model based on artificial neural network (ANN) is established by the use of the fractal dimension as the corrosion index, together with the basic intbrmation of the beam. The validity of the prediction model is demonstrated through the experimental data, and satisfactory resuits are achieved.