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Abstracts

Yu, J., Tao, C., Liao, S., Dias, Á., Liang, J., Yang, W., & Zhu, C. (2021). Resource estimation of the sulfide-rich deposits of the Yuhuang-1 hydrothermal field on the ultraslow-spreading Southwest Indian Ridge. Ore Geology Reviews, 104169. https://doi.org/10.1016/j.oregeorev.2021.104169
Rothlin, S. (2021). Un nuovo paradigma economico.(“Ideas for a New Economic Paradigm”). La Civiltà Cattolica, 4069(172), 327–339. https://www.laciviltacattolica.it/articolo/idee-per-un-nuovo-paradigma-economico/
Quelhas, P., Mata, J., & Dias, Á. (2021). Evidence for mixed contribution of mantle and lower and upper crust to the genesis of Jurassic I-type granites from Macao, SE China. GSA Bulletin, 133(1–2), 37–56. https://doi.org/10.1130/B35552.1
Adey, P., Hannam, K., Sheller, M., & Tyfield, D. (2021). Pandemic (Im)mobilities. Mobilities, 1–19. https://doi.org/10.1080/17450101.2021.1872871
Hannam, K., Butler, G., Witte, A., & Zuev, D. (2021). Tourist’s mobilities: Walking, cycling, driving and waiting. Tourist Studies, 1–13. https://doi.org/https://doi.org/10.1177/1468797621992931
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2021). Predictive Models for Decision Support in the COVID-19 Crisis. Springer International Publishing. https://doi.org/10.1007/978-3-030-61913-8
Morgan, S. (2021). ‘Em Procissão Solene a Deus Orando, para os Batéis Viemos Caminhando’—The Long Ebb-Tide of Catholic Public Piety in the Former-Portuguese Enclave of Macao. Religions, 12(3). https://doi.org/10.3390/rel12030193
Quelhas, P., Borgens, R., Dias, Á., Ribeiro, L., Costa, P., & Mata, J. (2021). Geological Map of the Macao Special Administrative Region (China). Journal of Maps. https://doi.org/https://doi.org/10.1080/17445647.2021.1906340
Quelhas, P., Borges, R., Dias, Á. A., Ribeiro, M. L., Costa, P., & Mata, J. (2021). Geology of the Macao Special Administrative Region (China). Journal of Maps, 0(0), 1–11. https://doi.org/10.1080/17445647.2021.1906340
Quelhas, P., Mata, J., & Dias, Á. (2021). Magmatic Evolution of Garnet-Bearing Highly Fractionated Granitic Rocks from Macao, Southeast China: Implications for Granite-Related Mineralization Processes. Journal of Earth Science. https://doi.org/10.1007/s12583-020-1389-4
Silva, M. C. da, Canário, A. V. M., Hubbard, P. C., & Gonçalves, D. (2021). Physiology, endocrinology and chemical communication in aggressive behaviour of fishes. Journal of Fish Biology. https://doi.org/10.1111/jfb.14667
Wu, Q., Zhao, T.-P., Chen, W. T., Gao, X.-Y., Meng, L., & Qiu, W. J. (2021). Origin of the Qiyugou gold deposit in the southern margin of the North China Craton: Insights from trace elements of pyrite and mineralogy of Bi-minerals. Ore Geology Reviews, 133, 104085. https://doi.org/10.1016/j.oregeorev.2021.104085
Poulet, D. C. (2020). A History of the Catholic Church: Vol. 1: The Ancient Church The Middle Ages The Beginnings of the Modern Period (R. S. A. Raemers, Trans.). Arouca Press.
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 69–87). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_5
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 15–39). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_2
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Forecasting COVID-19 Time Series Based on an Autoregressive Model. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 41–54). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_3
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 55–68). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_4
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 89–98). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_6
Marques, J. A. L., Gois, F. N. B., Xavier-Neto, J., & Fong, S. J. (2020). Prediction for Decision Support During the COVID-19 Pandemic. In Predictive Models for Decision Support in the COVID-19 Crisis (pp. 1–13). Springer International Publishing. https://doi.org/10.1007%2F978-3-030-61913-8_1
Dias, Á., Ding, T., Tao, C., Liang, J., Chen, J., Wu, B., Ma, D., Zhang, R., Wang, J., Liao, S., Wang, Y., Yang, W., Liu, J., Li, W., Zhang, G., & Huang, H. (2020). Sulfur isotopic compositions of sulfides along the Southwest Indian Ridge: implications for mineralization in ultramafic rocks. Mineralium Deposita. https://doi.org/10.1007/s00126-020-01025-0

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Last update from database: 5/10/21, 4:04 AM (UTC)

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