Hasil Pencarian - M. Navari

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  1. 1
    Palonosetron for the prevention of chemotherapy-induced nausea and vomiting: approval and efficacy

    Palonosetron for the prevention of chemotherapy-induced nausea and vomiting: approval and efficacy oleh Rudolph M Navari

    Diterbitkan 2009-12-01
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  2. 2
    Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures

    Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures oleh M. Navari, S. A. Margulis, S. M. Bateni, M. Tedesco, P. Alexander, X. Fettweis

    Diterbitkan 2016-01-01
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  3. 3
    Rolapitant for the prevention of nausea in patients receiving highly or moderately emetogenic chemotherapy

    Rolapitant for the prevention of nausea in patients receiving highly or moderately emetogenic chemotherapy oleh Rudolph M. Navari, Bernardo L. Rapoport, Dan Powers, Sujata Arora, Rebecca Clark‐Snow

    Diterbitkan 2018-07-01
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  4. 4
    Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco

    Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land su... oleh W. Nie, W. Nie, S. V. Kumar, K. R. Arsenault, K. R. Arsenault, C. D. Peters-Lidard, I. E. Mladenova, K. Bergaoui, A. Hazra, A. Hazra, B. F. Zaitchik, S. P. Mahanama, S. P. Mahanama, R. McDonnell, D. M. Mocko, D. M. Mocko, M. Navari, M. Navari

    Diterbitkan 2022-05-01
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  5. 5
    The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems

    The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems oleh K. R. Arsenault, K. R. Arsenault, S. V. Kumar, J. V. Geiger, S. Wang, S. Wang, E. Kemp, E. Kemp, D. M. Mocko, D. M. Mocko, H. K. Beaudoing, H. K. Beaudoing, A. Getirana, A. Getirana, M. Navari, M. Navari, B. Li, B. Li, J. Jacob, J. Jacob, J. Wegiel, J. Wegiel, C. D. Peters-Lidard

    Diterbitkan 2018-09-01
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  6. 6
    Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing

    Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing oleh L. Tsang, M. Durand, C. Derksen, A. P. Barros, D.-H. Kang, H. Lievens, H.-P. Marshall, J. Zhu, J. Johnson, J. King, J. Lemmetyinen, M. Sandells, N. Rutter, P. Siqueira, A. Nolin, B. Osmanoglu, C. Vuyovich, E. Kim, D. Taylor, I. Merkouriadi, L. Brucker, M. Navari, M. Dumont, R. Kelly, R. S. Kim, T.-H. Liao, F. Borah, X. Xu

    Diterbitkan 2022-09-01
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