南海北部台湾浅滩一带浮游动物数学模型的初探

南海北部台湾浅滩一带(21°30′—23°30′N,116°30′—118°30′E)不仅是上升流区也是南海暖水、黑潮及沿岸水互相交错的水域因而它是南海北部重要渔场之一。该水域每年5—9月是蓝圆鲹(Decoptera maruadsi)及金色小沙丁(Sardinella aurits)等中上层鱼类的旺汛期。浮游动物中不少的类群是上述几种鱼类直接捕食的对象,它与原始生产者互相制约也与水文状况中各种因素密切相关,因而对浮游动物与海况因子建立方程,可为渔情预报提供数学模型(亚模)。     

Image Corruption Detection in Diffusion Tensor Imaging for Post-Processing and Real-Time Monitoring

Due to the high sensitivity of diffusion tensor imaging (DTI) to physiological motion, clinical DTI scans often suffer a significant amount of artifacts. Tensor-fitting-based, post-processing outlier rejection is often used to reduce the influence of motion artifacts. Although it is an effective approach, when there are multiple corrupted data, this method may no longer correctly identify and reject the corrupted data. In this paper, we introduce a new criterion called “corrected Inter-Slice Intensity Discontinuity” (cISID) to detect motion-induced artifacts. We compared the performance of algorithms using cISID and other existing methods with regard to artifact detection. The experimental results show that the integration of cISID into fitting-based methods significantly improves the retrospective detection performance at post-processing analysis. The performance of the cISID criterion, if used alone, was inferior to the fitting-based methods, but cISID could effectively identify severely corrupted images with a rapid calculation time. In the second part of this paper, an outlier rejection scheme was implemented on a scanner for real-time monitoring of image quality and reacquisition of the corrupted data. The real-time monitoring, based on cISID and followed by post-processing, fitting-based outlier rejection, could provide a robust environment for routine DTI studies.     

Diverse phylogeny and morphology of magnetite biomineralized by magnetotactic cocci

Magnetotactic bacteria (MTB) are diverse prokaryotes that produce magnetic nanocrystals within intracellular membranes (magnetosomes). Here, we present a large-scale analysis of diversity and magnetosome biomineralization in modern magnetotactic cocci, which are the most abundant MTB morphotypes in nature. Nineteen novel magnetotactic cocci species are identified phylogenetically and structurally at the single-cell level. Phylogenetic analysis demonstrates that the cocci cluster into an independent branch from other Alphaproteobacteria MTB, that is, within the Etaproteobacteria class in the Proteobacteria phylum. Statistical analysis reveals species-specific biomineralization of magnetosomal magnetite morphologies. This further confirms that magnetosome biomineralization is controlled strictly by the MTB cell and differs among species or strains. The post-mortem remains of MTB are often preserved as magnetofossils within sediments or sedimentary rocks, yet paleobiological and geological interpretation of their fossil record remains challenging. Our results indicate that magnetofossil morphology could be a promising proxy for retrieving paleobiological information about ancient MTB.     

环境变异对青稞热稳定蛋白质含量及蛋白质Z的影响

热稳定蛋白是衡量麦芽品质的重要指标,为探明青稞籽粒和麦芽热稳定蛋白的含量、蛋白质Z的组成特征以及影响条件。本研究以3份青稞和1份对照大麦品种Gairdner为试验材料,对青稞籽粒及其麦芽的热稳定蛋白进行分析与鉴定,研究了不同生态环境下青稞热稳定蛋白质含量和蛋白质Z的组成特征,同时筛选出了优异啤用品质青稞品种(品系)。结果表明,青稞发芽温度为20℃,发芽时间为72 h,培养溶液PH为5时,发芽及焙焦条件下最有利于青稞热稳定蛋白总含量及蛋白质Z的累积。利用该发芽条件筛选种植于西宁、湟源和海晏的青稞资源,发现种植于西宁的青稞种子和发芽后热稳定蛋白质总含量最低,但是焙焦后热稳定蛋白质和蛋白质Z含量最高;同时从150份青稞资源中筛选出热稳定蛋白质含量及蛋白质Z条带清晰、含量高的优异资源15份。本研究结果为酿造青稞品种选育、啤用青稞和麦芽质量评价指标提供理论依据。