Planck 2018 constraints on anisotropic birefringence and its cross-correlation with CMB anisotropy von Gruppuso, A., Molinari, D., Natoli, P., Pagano, L.

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Characterization of Soybean Genetically Modified for Drought Tolerance in Field Conditions von Fuganti-Pagliarini, Renata, Ferreira, Leonardo C, Rodrigues, Fabiana A, Molinari, Hugo B C, Marin, Silvana R R, Molinari, Mayla D C, Marcolino-Gomes, Juliana, Mertz-Henning, Liliane M, Farias, José R B, de Oliveira, Maria C N, Neumaier, Norman, Kanamori, Norihito, Fujita, Yasunari, Mizoi, Junya, Nakashima, Kazuo, Yamaguchi-Shinozaki, Kazuko, Nepomuceno, Alexandre L

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Is the lack of power anomaly in the CMB correlated with the orientation of the Galactic plane? von Natale, U., Gruppuso, A., Molinari, D., Natoli, P.

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Ex post damage assessment: an Italian experience von Molinari, D, Menoni, S, Aronica, G. T, Ballio, F, Berni, N, Pandolfo, C, Stelluti, M, Minucci, G

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Enhanced energy storage in chaotic optical resonators von Liu, C., Di Falco, A., Molinari, D., Khan, Y., Ooi, B. S., Krauss, T. F., Fratalocchi, A.

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Modelling the benefits of flood emergency management measures in reducing damages: a case study on Sondrio, Italy von Molinari, D, Ballio, F, Menoni, S

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A note on the birefringence angle estimation in CMB data analysis von Gruppuso, A., Maggio, G., Molinari, D., Natoli, P.

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Constraints on cosmological birefringence from PLANCK and Bicep2/Keck data von Gruppuso, A., Gerbino, M., Natoli, P., Pagano, L., Mandolesi, N., Melchiorri, A., Molinari, D.

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Low variance at large scales of WMAP 9 year data von Gruppuso, A, Natoli, P, Paci, F, Finelli, F, Molinari, D, De Rosa, A, Mandolesi, N

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Transcriptional Profile of Soybean Seeds with Contrasting Seed Coat Color von Kafer, João M, Molinari, Mayla D C, Henning, Fernando A, Koltun, Alessandra, Marques, Viviani V, Marin, Silvana R R, Nepomuceno, Alexandre L, Mertz-Henning, Liliane M

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Nitrogen compounds transporters: candidates to increase the protein content in soybean seeds von Joaquim, Pamela I. L., Molinari, Mayla D. C., Marin, Silvana R. R., Barbosa, Daniel A., Viana, Américo J. C., Rech, Elibio L., Henning, Fernando A., Nepomuceno, Alexandre L., Mertz-Henning, Liliane M.

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Conjunctival conveyance of SARS-CoV-2 in asymptomatic and non-severe symptomatic COVID-19 patients von Rousseau, A., Vauloup-Fellous, C., Haigh, O., Pavy, S., Molinari, D., Jauréguiberry, S., Angoulvant, A., Labetoulle, M.

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A comparison of CMB angular power spectrum estimators at large scales: the TT case von Molinari, D., Gruppuso, A., Polenta, G., Burigana, C., De Rosa, A., Natoli, P., Finelli, F., Paci, F.

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Implementing the European “Floods Directive”: the Case of the Po River Basin von Molinari, D., Minucci, G., Mendoza, M. T., Simonelli, T.

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Molecular, physiological, and agronomical characterization, in greenhouse and in field conditions, of soybean plants genetically modified with AtGolS2 gene for drought tolerance von Honna, Patricia T., Fuganti-Pagliarini, Renata, Ferreira, Leonardo C., Molinari, Mayla D. C., Marin, Silvana R. R., de Oliveira, Maria C. N., Farias, José R. B., Neumaier, Norman, Mertz-Henning, Liliane M., Kanamori, Norihito, Nakashima, Kazuo, Takasaki, Hironori, Urano, Kaoru, Shinozaki, Kazuo, Yamaguchi-Shinozaki, Kazuko, Desidério, Janete A., Nepomuceno, Alexandre L.

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Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring von Evers, L., Molinari, D. A., Bowman, A. W., Jones, W. R., Spence, M. J.

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A behavioural model for quantifying flood warning effectiveness von Molinari, D., Handmer, J.

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The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods von Ballio, F., Molinari, D., Minucci, G., Mazuran, M., Arias Munoz, C., Menoni, S., Atun, F., Ardagna, D., Berni, N., Pandolfo, C.

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The “all components hydrocracking model” von Pellegrini, L., Bonomi, S., Gamba, S., Calemma, V., Molinari, D.

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A conceptual model for the estimation of flood damage to power grids von Asaridis, Panagiotis, Molinari, Daniela

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