SELECTIVE CATALYTIC REDUCTION (SCR) OF NO BY AMMONIA OVER V2O5/TiO2 CATALYST IN A CATALYTIC FILTER MEDIUM AND HONEYCOMB REACTOR: A KINETIC MODELING STUDY von Nahavandi, M.

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Cerebral oximetry in patients with sickle cell disease von Nahavandi, M., Tavakkoli, F., Hasan, S. P., Wyche, M. Q., Castro, O.

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Effect of transfusion on cerebral Oxygenation, flow velocity in a patient with sickle cell anemia and Moyamoya disease: A case report von Nahavandi, M., Tavakkoli, F., Wyche, M. Q., Trouth, A. J., Tavakoli, N., Perlin, E.

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A prospective interventional study on the use of extracorporeal photopheresis in patients with bronchiolitis obliterans syndrome after lung transplantation von Jaksch, Peter, MD, Scheed, Axel, MD, Keplinger, Maya, MD, Ernst, Mai-Britt, MD, Dani, Theresa, MD, Just, Ulrike, MD, Nahavandi, Hesam, MD, Klepetko, Walter, MD, Knobler, Robert, MD

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Effects of hydroxyurea treatment on cerebral oxygenation in adult patients with sickle cell disease: an open-label pilot study von Tavakkoli, Fatemeh, Nahavandi, Masoud, Wyche, Melville Q., Castro, Oswaldo

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Quantitative analysis of trimethylsilyl derivative of hydroxyurea in plasma by gas chromatography–mass spectrometry von James, Hutchinson, Nahavandi, Masoud, Wyche, Melville Q., Taylor, Robert E.

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Effect of Ag on the Mechanical Properties of Bi-Ag Solder Alloys by the Single-Lap Shear Test Method von Ghamarian, Nima, Azmah Hanim, M. A., Nahavandi, M., Ourdjini, Ali, Zainal, Zulkarnain, Lim, H. N.

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Deoxyribonucleic acid, ribonucleic acid, and protein in the placentas of normal and selected complicated pregnancies von Nolan, G.H, Nahavandi, M, Edwards, C.H, Knight, E.M, Johnson, A.A, Oyemade, U.J, Cole, O.J, Westney, O.E, Westney, L.S, Winborne, D

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Cerebral oximetry in patients with sickle cell disease von Nahavandi, M, Tavakkoli, F, Hasan, S P, Wyche, M Q, Castro, O

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Arterialization of peripheral venous blood in sickle cell disease von NAHAVANDI, Masoud, MILLIS, Richard M, TAVAKKOLI, Fatemeh, WYCHE, Meville Q, PERLIN, Elliott, WINTER, William P, CASTRO, Oswaldo

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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis von Shamsi, Afshar, Asgharnezhad, Hamzeh, Jokandan, Shirin Shamsi, Khosravi, Abbas, Kebria, Parham M., Nahavandi, Darius, Nahavandi, Saeid, Srinivasan, Dipti

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Demographic profile, methodology, and biochemical correlates during the course of pregnancy von Edwards, C.H, Knight, E.M, Johnson, A.A, Oyemade, U.J, Cole, O.J, Nolan, G, Westney, O.E, West, W.L, Laryea, H, Hilliard, P

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A nonisolated multiinput multioutput DC-DC boost converter for electric vehicle applications von Nahavandi, Ali, Hagh, Mehrdad Tarafdar, Sharifian, Mohammad Bagher Bannae, Danyali, Saeed

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A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review von Koohestani, Afsaneh, Nahavandi, Darius, Asadi, Houshyar, Kebria, Parham M., Khosravi, Abbas, Alizadehsani, Roohallah, Nahavandi, Saeid

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Swarm Intelligence in Internet of Medical Things: A Review von Alizadehsani, Roohallah, Roshanzamir, Mohamad, Izadi, Navid Hoseini, Gravina, Raffaele, Kabir, H M Dipu, Nahavandi, Darius, Alinejad-Rokny, Hamid, Khosravi, Abbas, Acharya, U Rajendra, Nahavandi, Saeid, Fortino, Giancarlo

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Non-Invasive MRI of Blood–Cerebrospinal Fluid Barrier Function von Evans, P. G., Sokolska, M., Alves, A., Harrison, I. F., Ohene, Y., Nahavandi, P., Ismail, O., Miranda, E., Lythgoe, M. F., Thomas, D. L., Wells, J. A.

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Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients von Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Gorriz, Juan M., Hussain, Sadiq, Sani, Zahra Alizadeh, Moosaei, Hossein, Khosravi, Abbas, Nahavandi, Saeid, Islam, Sheikh Mohammed Shariful

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Comments on: Information measure for performance of image fusion von HOSSNY, M, NAHAVANDI, S, CREIGHTON, D

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A database for using machine learning and data mining techniques for coronary artery disease diagnosis von Alizadehsani, R., Roshanzamir, M., Abdar, M., Beykikhoshk, A., Khosravi, A., Panahiazar, M., Koohestani, A., Khozeimeh, F., Nahavandi, S., Sarrafzadegan, N.

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Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods von Ayoobi, Nooshin, Sharifrazi, Danial, Alizadehsani, Roohallah, Shoeibi, Afshin, Gorriz, Juan M., Moosaei, Hossein, Khosravi, Abbas, Nahavandi, Saeid, Gholamzadeh Chofreh, Abdoulmohammad, Goni, Feybi Ariani, Klemeš, Jiří Jaromír, Mosavi, Amir

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