• Based on the MFMM (Mixed Finite Mixture Models), this paper proposes a method that can estimate internal link delay distributions along a single measurement path from end-to-end measurements.

    在MFMM模型基础提出一种方法能够根据得的-端的时延数据,推测单一测量路径上各链路的时延密度函数。

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  • Objective to research the function mechanism of anti-inflammatory and relieving itching of traditional Chinese medicine (TCM) Qinzhu Liangxue Mixture on treating eczema animal models.

    目的研究中药珠凉血合剂湿疹动物模型炎、止痒作用机制

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  • The GWM model for splice signals is a mixture of weight matrix models (WMM) with unknown number of components.

    分组权重矩阵个子总体未知混合权重矩阵模型

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  • The models with carrier fluid are one of ways to describe the phenomenon of liquid-solid mixture flow in a pipeline. A carrier fluid is composed of water (or other liquid) and fine particles.

    载体模型描述管道-混合现象方法之一,载体流(其他液体)颗粒组成,粗颗粒在含有悬浮细颗粒的载体中输送。

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  • Mouse models with immune mediated aplastic anemia were established to observe the functions of "Blood Producing Mixture" and its modified formula on mice with aplastic anemia.

    建立免疫介导再障小鼠模型观察合剂及其拆方对再障模型小鼠作用

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  • Adopting a mixture of the English and American models could be a good approach.

    采取英国美洲混合模式一个好的途径

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  • Appropriate match grasses and arbors of stress resistance to form cultivation models of forest and grass mixture, bush and arbor alternate.

    适当配置抗逆性强草本植物乔木植物,形成林草搭配、灌乔相间的各种种植模式

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  • The possibility of unique azeotropy or polyazeotropy in a liquid mixture can be predicted using activity coefficient models in terms of boiling point calculation.

    存在共沸点条件下,利用活度系数关联式, 通过泡计算求出共条件。

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  • The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.

    由于模型参数后验条件分布没有确定分布形式,通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计

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  • The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.

    由于模型参数后验条件分布没有确定分布形式,通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计

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