Liver esterase abnormalities in hereditary neurological diseases of mice

Zusammenfassung Alle von uns in Mäusen untersuchten vererblichen neurologischen Erkrankungen stellen entweder primäre oder sekundäre gesamtkörperliche Prozesse dar. Verschiedene allelische Substitutionen produzieren spezifische Leber-Esterase-Isozym-Defekte.

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This work was supported in part by NIH research grant No. NB 06448 from the National Institute of Neurological Diseases nad Stroke, a grant from the National Foundation for Neuromuscular Diseases, Inc., a grant from the Health Research Fund, United Fund of Schenectedy County, Inc., and an allocation from NIH General Research Support Grant No. RR 05545 from the Division of Research Resources to The Jackson Laboratory.

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The principles of laboratory animal care as promulgated by the National Society for Medical Research are observed in this Laboratory.     

铀酰-Salophen与四氢吡咯之间氢键的量子化学研究

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Rough law energy and measurement of ■-decomposition rough law

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Fault detection filter design for linear discrete time-varying systems with multiplicative noise

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In-vitro assessments of micro arc oxidized ceramic films on AZ31 magnesium implant : Degradation and cell-surface response

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基于GPU的大规模基因片段并行匹配的方法

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Hamilton半群的自同态半群

 Hamilton半群是一种重要的代数结构。针对Hamilton半群的特点,利用其半群性质和图论结果对其自同态的结构进行了研究。首先定义了其自同态的一种乘法运算,并证明了Hamilton半群的自同态也构成一个Hamilton半群。其次,在引入半序关系之后,给出了Hamilton半群的自同态半群的一个图论表示,即关于半序关系的覆盖图是有向森林。     

气体扩散CFD建模敏感性分析

 提出气体扩散计算流体力学建模敏感性分析的概念,即从众多影响模拟结果的不确定性因素中找出对建模有重要影响的方面,并监测、分析其对模拟结果的影响程度,进而选定最佳建模参数的一种不确定性分析方法。建议敏感性分析顺序应为网格依赖、边界条件、湍流模型及求解控制参数分析。重点对网格依赖和湍流模型敏感性分析的原理和方法进行了论证,并结合某高含硫集气站气体泄漏扩散建模进行了算例研究。研究结果表明,网格依赖分析可在模型预测精度和计算成本间获取平衡点;通过将各湍流模型预测结果与经验公式模型对比,可选取最适合的湍流描述方法。敏感性分析对构建合适的计算模型,提高计算精度,降低计算成本具有重要意义,是气体泄漏扩散建模中不可或缺的重要环节。     

Preliminary results of FeO mapping using Imaging Interferometer data from Chang'E-1

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