Search Results - Mining engineering.

Mercury in soils impacted by alluvial gold mining in the Peruvian Amazon by Velásquez Ramírez, Manuel Gabriel, Vega Ruiz, Claudia Maribel, Gomringer, Ronald Corvera, Pillaca, Martin, Thomas, Evert, Stewart, Paul Michael, Gamarra Miranda, Luis Alfredo, Dañobeytia, Francisco Roman, Guerrero Barrantes, Juan Antonio, Gushiken, Midori Chinen, Bardales, Joel Vasquez, Silman, Miles, Fernandez, Luis, Ascorra, Cesar, Torres, Dennis del Castillo

Subjects: “…mining…”
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Lead in agricultural soils and cultivated pastures irrigated with river water contaminated by mining activity by Orellana, E.P., Custodio, M., Bastos, C., Cuadrado, W.

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Soil recovery of alluvial gold mine spoils in the Peruvian Amazon using Stylosanthes guianensis, a promising cover crop by Velásquez Ramírez, Manuel Gabriel, Castillo Torres, Dennis del, Guerrero Barrantes, Juan Antonio, Vásquez Bardales, Joel, Thomas, Evert, Cusi Auca, Edgar, Chinen Gushiken, Midori, Muñoz Diaz, Betzy, Russo, Ricardo, Corvera Gomringer, Ronald

“…Here we assessed the potential of Stylosanthes guianensis to recover soil health as a first step in the restoration of gold mine spoils in a Native community and a mining concession in Madre de Dios, Peru. …”
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Exploring the potential of ground-penetrating radar (GPR) to measure the extent of chronic disturbance in peatlands: Examples from acid mine drainage and peat fire by Terry, N., Runkel, R., Werkema, D., Rutila, E., Comas, X., Warren, M., Kristiyono, A., Murdiyarso, D.

“…However, peatlands are threatened by pressures from agriculture, urban development, mining, and climate change. Geophysical methods have been used in peatlands to determine peat volume and carbon stocks (e.g., Comas et al., 2017), observe differences in humification and water content (e.g., Ulriksen, 1982), guide engineering projects (e.g., Jol and Smith, 1995), learn about subsurface greenhouse gas dynamics (Wright and Comas, 2016), observe seasonal variations in pore water salinity (Walter et al., 2018), and assess hydrological processes (Hare et al., 2017). …”
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Clasificación del uso de la tierra en el Valle Central de Catamarca utilizando técnicas de minería de datos en la nube by Alvarez Ocampo, Sonia Viviana

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A multi-platform framework for nowcasting social phenomena: A case study for food insecurity by Carneiro, Bia, Resce, Giuliano, Tucci, Giulia, Ruscica, Giosue, Caravaggio, Nicola, Fanelli, Laura, Santangelo, Agapito Emanuele, Cruciata, Pietro

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Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration by Pizarro Carcausto, Samuel Edwin, Pricope , Narcisa G., Vera Vilchez, Jesús Emilio, Cruz Luis, Juancarlos Alejandro, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

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Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley by Pizarro Carcausto, Samuel, Vera Vilchez, Jesús Emilio, Huamani, Joseph, Cruz, Juancarlos, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

“…With agriculture intensification, expansion of urban zones, construction of roads, and mining, some agricultural soils sites become polluted increasing environmental risks to ecosystems functions and human health. …”
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Updated guidelines for gene nomenclature in wheat by Boden, S.A., McIntosh, R.A., Uauy, C., Krattinger, S.G., Dubcovsky, Jorge, Rogers, W.J., Xia, X.C., Badaeva, E.D., Bentley, A.R., Brown-Guedira, G., Gonzalez, Fernanda Gabriela, Zhang, Y.

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Advancing multivariate time series similarity assessment: an integrated computational approach by Tonle, Franck Bruno Noumbo, Tonnang, Henri E. Z., Ndadji, Milliam M. Z., Tchoupé Tchendji, Maurice, Nzeukou, Armand, Senagi, Kennedy, Niassy, Saliou

“…Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains. …”
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LncPheDB: a genome-wide lncRNAs regulated phenotypes database in plants by Lou, Danjing, Li, Fei, Ge, Jinyue, Fan, Weiya, Liu, Ziran, Wang, Yanyan, Huang, Jingfen, Xing, Meng, Guo, Wenlong, Wang, Shizhuang, Qiao, Weihua, Han, Zhenyun, Qian, Qian, Yang, Qingwen, Zheng, Xiaoming

“…In addition, LncPheDB also provides a user-friendly interface, a genome visualization platform, and multi-level and multi-modal convenient data search engine. We believe that LncPheDB plays a crucial role in mining lncRNA-related plant data.…”
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Vegas (Mallínes): Patagonian wetlands still underexplored by soil science. An international and multidisciplinary effort to highlight their soil-based ecosystems functions by Ivelic-Saez, Jorge, Valle, Susana, Dec, Dorota, Dörner, José, Arumí, José Luis, Matus, Francisco Javier, Vargas, Paola Patricia, Utrilla, Victor Ricardo, Hedl, Radim, Balocchi, Oscar, Saez, C., Ordóñez, Iván Pablo, Valenzuela, J., Radic-Schilling, Sergio

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Waking the Sleeping Giant: Agricultural intensification, extensification or stagnation in Mali's Guinea Savannah by Ollenburger, M.H., Descheemaeker, Katrien K., Crane, Todd A., Sanogo, O.M., Giller, Kenneth E.

“…The World Bank argued that West Africa's Guinea Savannah zone forms part of “Africa's Sleeping Giant,” where increases in agricultural production could be an engine of economic growth, through expansion of cultivated land in sparsely populated areas. …”
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Opportunities and challenges for improving a Colombian public research program in plant breeding and plant genetic resources lead by Agrosavia by Galeano, Carlos H., Tehelen, Katherine, Jiménez, Hugo R., González, Carolina, Cerón Souza, Ivania

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Naturresursernas roll i konflikten i östra Demokratiska Republiken Kongo by Boklund, Erik

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Secado en lecho fluido de un prototipo granulado a base de la levadura con potencial probiótico Meyerozyma guilliermondii: selección de parámetros de proceso y protector de secado by Chaparro-Rodriguez, Martha Liliana, Cespedes Gutierrez, Elizabeth, Cruz-Barrera, Fredy Mauricio, Castillo Saldarriaga, Carlos, Gomez Alvarez, Martha Isabel

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Solar Dryers: Technical Insights and Bibliometric Trends in Energy Technologies by Villagran, Edwin, Espitia, John Javier, Velázquez, Fabián Andrés, Rodriguez, Jader

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Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties by Delgadillo Durana, Diego A., Vargas García, Cesar A., Varón Ramíreza, Viviana M., Calderón, Francisco C., Montenegroa, Andrea C., Reyes Herreraa, Paula H.

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Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms by Duarte Carvajalino, Julio Martin, Silva Arero, Elías Alexander, Góez Vinasco, Gerardo Antonio, Torres Delgado, Laura Marcela, Ocampo Paez, Oscar Dubán, Castaño Marín, Angela María

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Evaluación de modelos de aprendizaje automático para la predicción de Boro en suelos Andisoles de Nariño-Colombia by Álvarez Sánchez, David, López Estrella, Xilena, Manso Ordoñez, Eduar, López Rivera, Laura, Rodriguez Valenzuela, Jeison

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