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19篇 您的检索式:作者名="Ardeshiri"
    题名 作者 年代 出处 被引量
1Microsurgical anatomy of the mesencephalic veins显示文摘ARDESHIRI A LINN J 2007J Neurosurg2007,106,5:1
2Causal Role of Apoptosis-Inducing Factor for Neuronal Cell Death Following Traumatic Brain Injury显示文摘Jennifer E. Slemmer Changlian Zhu Stefan Landshamer Raimund Trabold Julia Grohm Ardavan Ardeshiri Ernst Wagner Marva I. Sweeney Klas Blomgren Carsten Culmsee John T. Weber Nikolaus Plesnila 2008The American Journal of Pathology2008,,6:1
3Hyperglycemia or High hemoglobin A1C:Which one is more associated with morbidity and mortality after coronary artery bypass graft surgery?显示文摘Faritous Z Ardeshiri M Yazdanian F 2014Ann Thorac Cardiovasc Surg2014,20,3:1
4Intramedullary spinal cord astrocytomas:the influence of localization and tumor extension on resectability and functional outcome 显示文摘Ardeshiri A Chen B Hutter BO 2013Acta Neurochir ( Wien )2013,155,7:1
5Subtemporal qpproach to the tentorial incisura:normative morphometric data based on magnetic resonance imaging scans显示文摘Ardeshiri A Wenger E 2006Neurosurgery2006,58,1:1
6Multiple cerebral cavernous malformations associated with extracranial mesenchymal anomalies显示文摘Ardeshiri A Beiras-Fernandez A et al.Steinlein etal 0,,:1
7Ischemic insult to cerebel- lar Purkinje ceils causes diminished GABAA receptor function and all opregnanolone neuroprotection is associated with GABAA recep- tor stabilization 显示文摘Kelley MH Taguchi N Ardeshiri A 2008J Neurochem2008,107,3:1
8Microsurgical anatomy of the mesencephalic veins 显示文摘Ardeshiri A Ardeshiri A Linn J 2007J Neurosurg2007,106,5:1
9Evaluation of new radiolucent polymer headholder pins for use in intraoperative computed tomography显示文摘Ardeshiri A Radina C Edlauer M 0,,06:1
10Hyper-Prolactinemia in Men With Idiopathic Dilated Cardiomyopathy: Does It Have any Prognostic Implications?显示文摘Naderi N Bakhshandeh H Ardeshiri M 2014Res Cardiovasc Med2014,3,19:1
11Subtemporal approach to the tentorial incisura: normative morphometric data based on magnetic resonance imaging scans 显示文摘Ardeshiri A Wenger E Holtmannspotter M 2006Neurosurgery2006,58,1:1
12Mechanism of progesterone neuroprotection of rat cerebellar Purkinje cells following oxygen-glucose deprivation显示文摘Ardeshiri A Kelly MH Korner IP 0,,09:1
13Ischemic insult to cerebellar Purkinje cells causes diminished GABAA receptor function and allopregnanoloneneuroprotection is associated with GABAA receptor stabilization显示文摘Kelley MH Taguchi N Ardeshiri A 0,,:1
14Mitochondrial mechanism of neurolprotection by CART显示文摘Mao P Ardeshiri A Jacks R 0,,:1
15Elderly patients areat in-creased risk for mortality undergoing surgical repair of dens fractures 显示文摘Ardeshiri A Asgari S Lemonas E 2013Clin Neurol Neuresurg2013,115,10:1
16Mechanism of progesterone neuroprotection of rat cerebellar Purkinje cells following oxygen-glucose deprivation显示文摘Ardeshiri A Kelley M H Komer I P 2006Eur J Neurosci2006,24,9:1
17Microsurgical anatomy of the mesencephalic veins显示文摘Ardeshiri A Linn J 0,,05:1
18Microsurgical anatomy of the mesencephalic veins显示文摘Ardeshiri A Ardeshiri A Linn J 2007J Neurosurg2007,106,5:1
19Traffic recovery time estimation under different flow regimes in traffic simulation显示文摘Incident occurrence and recovery are critical to the smooth and efficient operations of freeways.Although many studies have been performed on incident detection,clearance,and management,travelers and traffic managers are unable to accurately predict the length of time required for full traffic recovery after an incident occurs.This is because there are no practical studies available to estimate post-incident recovery time.This paper estimates post-incident traffic recovery time along an urban freeway using traffic simulation and compares the simulation results with Shockwave theory calculations.The simulation model is calibrated and validated using a freeway segment in Baltimore,MD.The model explores different flow regimes(traffic intensity) and incident duration for different incident severity,and their effects on recovery time.A total of 726 simulations are completed using VISSIM software.Finally,the impact of congestion and incident delay on the highway network is quantified by a regression formula to predict traffic recovery time.The developed regression model predicts post-incident traffic recovery time based on traffic intensity,incident duration,and incident severity(ratio of lanes closure).In addition,three regression models are developed for different flow regimes of near-capacity,moderate,and low-traffic intensity.The model is validated by collected field data on two different urban freeways.Mansoureh Jeihani Petronella James Anthony A.Saka Anam Ardeshiri 2015Journal of Traffic and Transportation Engineering(English Edition)2015,2,5:0
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