4篇
您的检索式：作者名="Reza Azizian"
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| 1 | The Diagnostic Value of N-terminal Pro-brain Natriuretic Peptide in Differentiating Cardioembolic Ischemic Stroke显示文摘 | Shokoufeh Hajsadeghi Ladan Kashani Amin Hooman Bakhshandeh Mohammad Rohani Amir Reza Azizian Scott Reza Jafarian Kerman | 2013 | Journal of Stroke and Cerebrovascular Diseases2013，，4： | 1 |
| 2 | Analysis of Potential Failure Modes in an Assembly Line by Fuzzy Expert Systems显示文摘 | Mehdi Piltan Reza Ghodsi Foad Quarashi Mehrdad Azizian | 2011 | Journal of Mechanics Engineering and Automation2011，1，6： | 0 |
| 3 | Improving power system dynamic performance using attuned design of dual-input PSS and UPFC PSD controller显示文摘这个工作的目的是能提高力量系统秋千抑制的控制器的协调设计。与灵活交流传播的存在统一了力量流动控制器(UPFC ) 的系统(事实) 设备,力量系统 stabilizers (PSS ) 的三个特定的类被调查了。第一是常规力量系统 stabilizer (每秒字符数) ;第二是双输入的力量系统 stabilizer (双输入的 PSS ) ;并且第三个是一个加速的力量 PSS 模型(PSS2B ) 。双输入的 PSS 和 PSS2B 被介绍在大量秋千频率维持控制性能的坚韧性。不协调的 PSS 和 UPFC 抑制控制器可以引起讨厌的相互作用;因此,同时控制器参数调节协调被需要。当一个优化问题,和粒子群优化(PSO ) 算法被采用寻找控制器的最佳的参数,协调设计的问题被提出。在有 UPFC 的一个系统,最后,从双输入的 PSS, PSS2B,和每秒字符数的申请获得的结果的比较分析被介绍。特征值分析和时间域模拟结果证明双输入的 PSS 与 UPFC 和 PSS2B 与 UPFC 协作比常规单个输入的 PSS 与 UPFC 协作提供更好的表演。另外, PSS2B 与 UPFC 协作有最好的表演。 | Yashar HASHEMI Rasool KAZEMZADEH Mohammad Reza AZIZIAN Ahmad SADEGHI YAZDANKHAH | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，4： | 0 |
| 4 | Comparative study between bacterial meningitis vs.viral meningitis and COVID-19显示文摘Meningitis is the inflammation of brain and spinal cord protective membrane. It is a deadly and enfeebling disease that affects people of all ages and most often caused by a bacterial or viral infection. Bacterial meningitis is a more serious and life-threatening condition, while viral meningitis the most frequent kind is often less severe and self-limiting. Therefore, successful treatment of meningitis depends on identifying the suspected or known causative organism. In this article, we aim to review the latest information about the etiology of meningitis and explore its possible occurrence and complication followed COVID-19 infection. | Erfaneh Jafari Reza Azizian Aram Asareh Zadegan Dezfuli Sousan Akrami Niloofar Karimi Afshar | 2022 | Infectious Diseases Research2022，3，2： | 0 |
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