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A biosensor based on imaging ellipsometry (BIE) has been developed and validated in 169 patients for detecting five markers of hepatitis B virus (HBV) infection. The methodology has been established to pave the way for clinical diagnosis, including ligand screening, determination of the sensitivity, set-up of cut-off values (CoVs) and comparison with other clinical methods. A matrix assay method was established for ligand screening. The CoVs of HBV markers were derived with the help of receiver operating characteristic curves. Enzyme-linked immunosorbent assay (ELISA) was the reference method. Ligands with high bioactivity were selected and sensitivities of 1 ng/mL and 1 IU/mL for hepatitis B surface antigen (HBsAg) and surface antibody (anti-HBs) were obtained respectively. The CoVs of HBsAg, anti-HBs, hepatitis B e antigen, hepatitis B e antibody and core antibody were as follows: 15%, 18%, 15%, 20% and 15%, respectively, which were the percentages over the values of corresponding ligand controls. BIE can simultaneously detect up to five markers within 1 h with results in acceptable agreement with ELISA, and thus shows a potential for diagnosing hepatitis B with high throughput.

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A study of the composition and distribution of fish populations in the inshore, surface and bottom water habitats of Kangimi Reservoir showed that the most abundant family was the Cichlidae followed in order of abundance by the familiesCyprinidae, Schilbeidae, Mormyridae, Mochokidae, Characidae, centropomidae and Bagridae. Though the overall composition of families caught inn the three habitats did not vary significantly (P>0.05) only family Cichlidae showed habitat preference: there was a preponderance of Cichlidae in the inshore water habitat (P<0.05). The families Bagridae and Centropomidae were caught only in the inshore and bottom water habitats while the other families were caught from all habitats and showed no habitat preference. The dominance of primary and secondary consumers indicates high fish production potential under adequate management

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本文介绍一种将同步辐射X射线成像与电子光学显微技术结合起来的实时记录方法。通过加速阳极对电子束的加速,控制其波长,再经过一个中心对称的电磁透镜系统的放大,最后到达CCD记录并输出,通过计算机实时重构出高分辨率的显微图像。该放大系统还可以应用到同步辐射的X射线相衬、显微和层析方面。对同步辐射应用技术的发展将产生不可估量的影响。

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通过分析波矢沿任意方向的单轴晶体的折射率,在光轴位于入射面内时,给出了入射光分别为s光和p光的反射率拟合函数。利用改进的反射率扫描仪,测量了CaCO3晶体的s光和p光反射率随入射角变化情况,由理论拟合获得单轴晶体的两个主折射率,分别为no=1.6559和ne=1.4851。这种方法不需要对样品进行加工,其精度达到0.0001。另外,对于晶体光轴未知的情况,采用改进的布儒斯特技术分别测出三个晶体表面的布儒斯特角,由此可以确定光轴的方向。

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导模共振滤波器由于其高峰值反射率,低旁带反射,窄带以及带宽可控等优良特性引起了人们极大的关注,采用亚波长光栅的导模共振效应可以实现传统基于高低折射率介质的多层膜滤波器所无法实现的特殊功能,在弱调制模式下,其共振带宽可以被压缩到零点几纳米,但是由于介质表面和空气层的菲涅耳反射,使得偏离或者远离共振区时的反射率偏高,根据等效介质理论,亚波长光栅在远离共振区可以被看为均匀的薄膜,本文通过对导模共振光栅进行单层、双层以及三层抗反射设计,有效的降低了导模共振光栅的旁带反射率,从而在可见光波段获得了性能优良的共振滤波器.

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苋属(Amaranthus)约40种,世界均有分布。我国有20种,分布很广,其中外来种为17种(11种为入侵种),危害旱田作物、果树、茶树和蔬菜。反枝苋(Amaranthus retroflexus L.)是苋属入侵种中发生频率最多、分布最广、危害最严重的杂草。本文首先基于反枝苋在世界范围内4207个实际分布点及其对应的气候、地形和土壤三类要素28个环境因子的定量关系,利用主成分分析确定了影响其分布的主要环境因子,据此估测其中心可能分布区和最大可能分布区,并与实际分布点进行比较;然后利用GARP生态位模型和地理信息系统(GIS)对影响苋属8个入侵种地理分布的环境因子进行分析并对其全球可能分布区进行预测,并根据苋属入侵种与环境因子的关系对8个苋属入侵种进行聚类分析;最后基于Receiver Operating Characteristics(ROC)分析对GARP模型及GIS模型对反枝苋全球可能分布区的预测结果进行精度检验和比较,结果表明: (1) GIS模型预测显示14个环境因子在决定反枝苋全球分布格局中起着重要作用。反枝苋中心可能分布区位于新西兰南部、澳大利亚东南部、南美洲北部少数地区、北美洲西北部及东南部部分地区、欧洲大部分地区和中国东南部。最大可能分布区位于南美洲中南部、北美洲大部分、非洲北部小部分、澳大利亚南部及北部少数区域、欧洲大部分地区和亚洲大部分地区及中国除西藏、青海、新疆、四川西部以外的地区。中心可能分布区的预测结果与实际分布点吻合较好,而最大可能分布区则过于广阔。 (2) GARP模型预测显示14个环境因子中雨日频率,极端低温,海拔这三个环境因子的影响较为重要,是苋属8个入侵种分布的主要限制因子。聚类分析表明8种苋属入侵种按欧式距离的长度可分为三类:第一类:反枝苋、凹头苋;第二类:刺苋、皱果苋、尾穗苋;第三类:绿穗苋、白苋、北美苋。 ROC分析结果显示GARP模型对反枝苋的可能分布区模拟效果(AUCGARP=0.857)好于GIS模型,其中GIS模型对反枝苋中心可能分布区的模拟效果(AUCGIS-CENTER=0.832)好于最大可能分布区(AUCGIS-MAX=0.778)。 苋属8个入侵种均有分布的地区为澳大利亚沿海地区,新西兰,中国东南沿海,欧洲西部,南美洲部分国家,美国,非洲中部。 (3)两种模型所预测的反枝苋的可能分布区有很大程度的重合性,GARP模型预测的可能分布区大于GIS模型预测出的中心可能分布区,但小于GIS模型预测出的最大可能分布区,且和实际分布点拟合程度较好。