drd

Methods Systematic study of clinical features , diagnosis and therapeutic effect in 10 patients with DRD was performed and retrospectively analyzed .

方法回顾性分析10例多巴反应性肌张力障碍患者的临床表现、诊断方法和治疗效果。

Conclusion The clinical manifestations of DRD are various and they are closely correlated with age . Conclusion Clinical manifestations of patients with sarcoidosis of the nervous system are varied .

结论多巴反应性肌张力障碍临床表现呈多样化，临床表现与年龄密切相关。结论神经系统结节病的临床表现多种多样。

DRD ── Design of a Diagnosis Based on High Reliable Distributed Computer Systems

DRD&基于诊断的高可靠分布式计算机系统的设计

Conclusions Clinical diversity and diurnal fluctuation are the characteristics of DRD .

结论DRD患者具有症状多样及日间波动的特点。

Objective To study the clinical characteristics of patients with dopa-responsive dystonia ( DRD ) .

目的研究多巴反应性肌张力障碍患者的临床特点。

A new approach , named Distributed Redundant Disk ( DRD ) technology , to reliably sharing server-based storage systems in network environment is presented in this paper .

为解决网络环境下共享磁盘系统的可靠性问题，本文提出了分布式冗余磁盘技术（DRD）。

After its basic ideas and implementation architectures are given , several key techniques involved in DRD are discussed in regard to the design and implementation of a DRD prototype system .

在介绍DRD的基本思想和实现结构以后，结合一个DRD样机系统，讨论了DRD所涉及的关键实现技术。

Considering both of them , this paper proposes a new domain reduction method named DRD ( Domain Reduction Approach with Data Dependence ) for improving the test data generation technique of domain reduction .

充分考虑两种依赖关系，本文针对域削减的测试数据生成技术进行了改进，提出了一种考虑数据依赖的域削减方法DRD（DomainReductionApproachwithDataDependence）。

OBJECTIVE : To analyze the relationship between Chinese DRD onset and gene mutation of guanosine triphosphate cyclohydrolase 1 ( GCH 1 ) .

目的：分析国人DRD患者发病与三磷酸鸟苷环化水解酶1（GCH-1）基因突变的关系。

Methods Sixteen familiar DRD patients and 10 patients with sporadic DRD were studied by history taking , physical examination of nervous system and CT / MR scaning . The obtained data were statistical analyzed with SPSS 13.0 software in computer .

方法对16例家族性患者和10例散发性多巴反应性肌张力障碍患者进行病史采集、神经系统体格检查和CT或MRI检查，所得数据应用SPSS13.0软件进行统计分析。