目的：建立直肠癌筛选血清蛋白质指纹图谱模型并初步验证。
AIM: To establish a serum protein pattern model for screening rectal carcinoma.
目的：建立基于人工神经网络的血清蛋白质指纹图谱模型，并探讨其在肝癌诊断中的应用。
Aim: To evaluate the application of serum protein fingerprint pattern based on artificial neural network in diagnosis of liver cancer.
区分肾母细胞瘤与其他腹腔实体肿瘤的血清蛋白质指纹图谱模型特异性为100%，敏感性为93.3%。
The diagnostic model combined with 2 biomarkers could separate nephroblastoma from other child′s abdominal solid tumors with a sensitivity of 93.3%, and a specificity of 100%.
目的从先天性巨结肠(HD)患儿血清蛋白质中筛选特异的蛋白质标记物，构建诊断HD的血清蛋白质指纹图谱模型。
Objective To set up a model for the detection of the serum protein by using the protein chip technology for exploration of serum protein finger print pattern models in Hirschsprung's Disease (HD).
利用空间模型理论分析三动杆机构的工作空间、灵巧度、速度及刚度等性能指标，并绘制出相应的性能图谱。
Based on physical model of the solution space, some performance indices such as workspace, dexterity, velocity and stiffness are studied and the atlases of performance are plotted.
数字化人脑图谱是神经外科手术计划、模型驱动分割和教学的重要工具。
Digital brain atlas is a powerful tool in surgical planning, model driven segmentation and teaching of neuroanatomy.
实验结果表明，我们通过听觉模型反演从信号的自相关图谱中恢复出的语音信号，具有较好的自然度和良好的噪声鲁棒性。
The result of experiments show that resynthesized speech signals form the its correlogram by auditory model inversion is nature and robust in noisy environment.
根据连杆曲线生成的数学模型，建立了连杆曲线图谱库。
According to the generative mathematics model of bar linkage curve, the bar linkage curve pattern is established.
它提供一套简单并富有表现力的编程模型，支持一系列应用，包括ETL（Extract，Transform and Load），机器学习，流处理，以及图谱计算。
Spark provides a simple and expressive programming model that supports a wide range of applications, including ETL, machine learning, stream processing, and graph computation.
它提供一套简单并富有表现力的编程模型，支持一系列应用，包括ETL（Extract，Transform and Load），机器学习，流处理，以及图谱计算。
Spark provides a simple and expressive programming model that supports a wide range of applications, including ETL, machine learning, stream processing, and graph computation.
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