Search Results - "Montoya, Rubén D."

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  1. 1

    Multivariate Model for the Prediction of Severity of Acute Pancreatitis in Children by Izquierdo, Yojhan E., Fonseca, Eileen V., Moreno, Luz Á., Montoya, Rubén D., Guerrero, Rafael

    “…ABSTRACT This study aimed to develop a severity prediction system for pediatric patients with acute pancreatitis (AP) based on clinical and laboratory…”
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    Journal Article
  2. 2

    Utility of CT classifications to predict unfavorable outcomes in children with acute pancreatitis by Izquierdo, Yojhan E., Fonseca, Eileen V., Moreno, Luz-Ángela, Montoya, Rubén D., Guerrero Lozano, Rafael

    Published in Pediatric radiology (01-07-2018)
    “…Background Computed tomography (CT) is useful for the diagnosis of local complications in children with acute pancreatitis but its role as a prognostic tool…”
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  3. 3

    Construction of synthetic ocean wave series along the Colombian Caribbean Coast: A wave climate analysis by Osorio, Andrés F., Montoya, Rubén D., Ortiz, Juan Carlos, Peláez, Daniel

    Published in Applied ocean research (01-03-2016)
    “…•A methodology was applied to generate synthetic waves series (mean and extreme).•Seasonal variability is generally controlled by trade winds and the hurricane…”
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  4. 4

    Numerical Study of Run-up Oscillations over Fringing Reefs by Peláez-Zapata, D.S., Montoya, Rubén D., Osorio, Andrés F.

    Published in Journal of coastal research (01-09-2018)
    “…Peláez-Zapata, D.S.; Montoya, R.D., and Osorio, A.F., 2018. Numerical study of run-up oscillations over fringing reefs. This work presents a numerical study of…”
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  5. 5

    Spatial and temporal variability of wave energy resource in the eastern Pacific from Panama to the Drake passage by Eelsalu, Maris, Montoya, Rubén D., Aramburo, Darwin, Osorio, Andrés F., Soomere, Tarmo

    Published in Renewable energy (01-04-2024)
    “…We analyse the wave energy resource available along the Pacific coast of South America from Panama from the latitude of 8°N to the Drake Passage at 55°S. The…”
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  6. 6

    Technical and financial valuation of hydrokinetic power in the discharge channels of large hydropower plants in Colombia: A case study by Montoya Ramírez, Rubén D., Cuervo, Felipe Isaza, Monsalve Rico, César Antonio

    Published in Renewable energy (01-12-2016)
    “…This work presents an assessment of the potential use of hydrokinetic turbines in the discharge channels of large hydroelectric power plants in Colombia. The…”
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    Journal Article
  7. 7

    Costal sea level variability and extreme events in Moñitos, Cordoba, Colombian Caribbean Sea by Genes, Lida S., Montoya, Rubén D., Osorio, Andrés F.

    Published in Continental shelf research (01-10-2021)
    “…Flooding episodes occur frequently in the Colombian Caribbean and cause damage to coastal settlements. However, there is little knowledge about these episodes…”
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  8. 8

    Validation of the accuracy of the CHIRPS precipitation dataset at representing climate variability in a tropical mountainous region of South America by López-Bermeo, Carlos, Montoya, Rubén D., Caro-Lopera, Francisco J., Díaz-García, José A.

    “…This study aims to validate the accuracy of the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) dataset at representing climate variability…”
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  9. 9
  10. 10

    Modified parametric hurricane wind model to improve the asymmetry in the region of maximum winds by Roldán, Mariana, Montoya, Rubén D., Rios, Jose D., Osorio, Andrés.F.

    Published in Ocean engineering (15-07-2023)
    “…The understanding of the ocean waves during extreme hurricane conditions is important for risk analysis in coastal areas, the design of maritime works, the…”
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  11. 11

    Assimilation of peak period from video images in numerical wave models at a local scale by Saavedra, Victor, Montoya, RubénD, Orfila, A., AndrésF, Osorio

    Published in Computers & geosciences (01-09-2023)
    “…This paper presents an innovative methodology to assimilate peak period into wave models at a local scale. The proposed methodology estimates the peak period…”
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