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Nouveaux articles scientifiques au 490 (ETE, CGC et UCS)

Science | Affiché 141 fois | Publié il y a 2 mois


ETE et CGC

Brar KK, Chadha BS, Brar SK et Singh P (2020). Biotechnological strategies for enhanced production of biofuels from lignocellulosic biomass. Daramola MO et Ayeni AO, (Eds). Valorization of Biomass to Value-Added Commodities. Current Trends, Challenges, and Future Prospects. pp. 521-551. Springer.
DOI : 10.1007/978-3-030-38032-8_24

Brown ST, Turchyn AV, Bickle MJ, Davis AC, Alt JC, Bédard JH, Skulski T et DePaolo DJ (2020) High-temperature kinetic isotope fractionation of calcium in epidosites from modern and ancient seafloor hydrothermal systems. Earth and Planetary Science Letters, 535 : 116101
DOI : 10.1016/j.epsl.2020.116101

Gumière SJ, Camporese M, Botto A, Lafond JA, Paniconi C, Gallichand J et Rousseau AN (2020). Machine learning vs. physics-based modeling for real-time irrigation management. Font. Water, 2 (Avril): Art. 8.   
DOI : 10.3389/frwa.2020.00008

Osorio-González CS, Chaali M, Hegde K, Brar SK, Kermanshahi-pour A et Avalos Ramirez A (2020). Production and processing of the enzymes from lignocellulosic biomass. Daramola MO et Ayeni AO, (Eds). Valorization of Biomass to Value-Added Commodities. Current Trends, Challenges, and Future Prospects. pp. 221-243. Springer.
DOI : 10.1007/978-3-030-38032-8_11

Saini R, Hegde K, Brar SK et Soccol CR (2020). Advances in engineering strategies for enhanced production of lipid in Rhodosporidium sp. from Lignocellulosics and other carbon sources. Daramola MO et Ayeni AO, (Eds). Valorization of Biomass to Value-Added Commodities. Current Trends, Challenges, and Future Prospects. pp. 507-519. Springer.
DOI : 10.1007/978-3-030-38032-8_23

Wu Y, Zhang G, Rousseau AN, Jun Xu Y et Foulon É (2020). On how wetlands can provide flood resilience in a large river basin: A case study in Nenjiang river Basin, China. J. Hydrol., 587 (Août): Art. 125012.
DOI : 10.1016/j.jhydrol.2020.125012

Zounemat-Kermani M, Ramezani-Charmahineh A, Razavi R, Alizamir M et Ouarda TBMJ (2020). Machine learning and water economy: a new approach to predicting dams water sales Revenue. Water Resour. Manage.,  EN LIGNE.   
DOI : 10.1007/s11269-020-02529-0