Search Results - "Haque, Mohammed E"

Targeting a Dominant Negative Rho Kinase to Neurons Promotes Axonal Outgrowth and Partial Functional Recovery After Rat Rubrospinal Tract Lesion by Wu, Dongsheng, Yang, Ping, Zhang, Xinyu, Luo, Juan, Haque, Mohammed E, Yeh, John, Richardson, Peter M, Zhang, Yi, Bo, Xuenong

“…Many axonal growth inhibitors that contribute to the usual failure of axon regeneration in the central nervous system (CNS) exert their effects via the…”
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Predicting Early Extubation After Liver Transplantation: External Validation and Improved Generalizability of a Proposed Fast-track Score by Haque, Mohammed E., Badenoch, Adam D., Orlov, David, Selzner, Markus, McCluskey, Stuart A.

“…BACKGROUND:Early extubation of liver transplantation recipients is a cornerstone of Fast Track (FT) pathways. Identifying suitable candidates has previously…”
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Structure activity relationship of phenolic acid inhibitors of α-synuclein fibril formation and toxicity by Ardah, Mustafa T, Paleologou, Katerina E, Lv, Guohua, Abul Khair, Salema B, Kazim, Abdulla S, Minhas, Saeed T, Al-Tel, Taleb H, Al-Hayani, Abdulmonem A, Haque, Mohammed E, Eliezer, David, El-Agnaf, Omar M A

“…The aggregation of α-synuclein (α-syn) is considered the key pathogenic event in many neurological disorders such as Parkinson's disease (PD), dementia with…”
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ANN back-propagation prediction model for fracture toughness in microalloy steel by Haque, Mohammed E, Sudhakar, K.V

“…Fracture toughness of microalloy steel was evaluated as per ASTM E399 standard. Artificial neural network back-propagation model was developed to predict the…”
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Structure activity relationship of phenolic acid inhibitors of α-synuclein fibril formation and toxicity by Ardah, Mustafa T., Paleologou, Katerina E., Lv, Guohua, Abul Khair, Salema B., Kazim, Abdulla S., Minhas, Saeed T., Al-Tel, Taleb H., Al-Hayani, Abdulmonem A., Haque, Mohammed E., Eliezer, David, El-Agnaf, Omar M. A.

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Prediction of corrosion–fatigue behavior of DP steel through artificial neural network by Haque, Mohammed E, Sudhakar, K.V

“…Corrosion–fatigue crack growth (d a/d N) of dual phase (DP) steel was analyzed using an artificial neural network (ANN) based model. The training data…”
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Mechanical behavior of powder metallurgy steel-experimental investigation and artificial neural network-based prediction model by SUDHAKAR, K. V, HAQUE, Mohammed E

“…Mechanical properties of high-density powder metallurgy (PM) steels have been evaluated using standard tests, and a theoretical model using the artificial…”
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Uniform Bridge Element Identification System for Database Management for Roadway Bridges by Haque, Mohammed E

“…Managing a complex roadway bridge system requires a comprehensive system of management tools to aid decision making. During the decision making process, a…”
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Composite Beam Analogy Fracture Model for Concrete by Haque, Mohammed E, Ansari, Farhad

“…A new model for the determination of fracture-mechanics parameters in concrete is developed. Application of this method requires merely knowledge of peak load…”
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Long QT Syndromes and Torsades de Pointes by Haque, Mohammed E, Sethuraman, Rajamani

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ANN based prediction model for fatigue crack growth in DP steel by Haque, M. E., Sudhakar, K. V.

“…An artificial neural network (ANN)‐based model was developed to analyse high‐cycle fatigue crack growth rates (da/dN ) as a function of stress intensity ranges…”
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Integrated Multimedia Uniform Bridge Element Identification System Database for Bridge Inspection and Maintenance by Haque, Mohammed, Pongponrat, Kajpong

“…Bridge inspection information management poses a conundrum to transportation agencies across the nation. Today, there is a real need to use all media types,…”
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5D virtual constructions: Designer/constructor's perspective by Haque, M.E., Mishra, R.

“…The construction activity level intricacy makes the whole construction process quite complicated and difficult for planners and builders. 4D (3D+Time)…”
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