23 results on '"Quevedo, Karina"'
Search Results
2. Bayesian functional graphical models
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Zhang, Lin, Baladandayuthapani, Veera, Neville, Quinton, Quevedo, Karina, and Morris, Jeffrey S.
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Statistics - Methodology - Abstract
We develop a Bayesian graphical modeling framework for functional data for correlated multivariate random variables observed over a continuous domain. Our method leads to graphical Markov models for functional data which allows the graphs to vary over the functional domain. The model involves estimation of graphical models that evolve functionally in a nonparametric fashion while accounting for within-functional correlations and borrowing strength across functional positions so contiguous locations are encouraged but not forced to have similar graph structure and edge strength. We utilize a strategy that combines nonparametric basis function modeling with modified Bayesian graphical regularization techniques, which induces a new class of hypoexponential normal scale mixture distributions that not only leads to adaptively shrunken estimators of the conditional cross-covariance but also facilitates a thorough theoretical investigation of the shrinkage properties. Our approach scales up to large functional datasets collected on a fine grid. We show through simulations and real data analysis that the Bayesian functional graphical model can efficiently reconstruct the functionally-evolving graphical models by accounting for within-function correlations.
- Published
- 2021
3. Penalized model-based clustering of fMRI data
- Author
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DiLernia, Andrew, Quevedo, Karina, Camchong, Jazmin, Lim, Kelvin, Pan, Wei, and Zhang, Lin
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
Functional magnetic resonance imaging (fMRI) data have become increasingly available and are useful for describing functional connectivity (FC), the relatedness of neuronal activity in regions of the brain. This FC of the brain provides insight into certain neurodegenerative diseases and psychiatric disorders, and thus is of clinical importance. To help inform physicians regarding patient diagnoses, unsupervised clustering of subjects based on FC is desired, allowing the data to inform us of groupings of patients based on shared features of connectivity. Since heterogeneity in FC is present even between patients within the same group, it is important to allow subject-level differences in connectivity, while still pooling information across patients within each group to describe group-level FC. To this end, we propose a random covariance clustering model (RCCM) to concurrently cluster subjects based on their FC networks, estimate the unique FC networks of each subject, and to infer shared network features. Although current methods exist for estimating FC or clustering subjects using fMRI data, our novel contribution is to cluster or group subjects based on similar FC of the brain while simultaneously providing group- and subject-level FC network estimates. The competitive performance of RCCM relative to other methods is demonstrated through simulations in various settings, achieving both improved clustering of subjects and estimation of FC networks. Utility of the proposed method is demonstrated with application to a resting-state fMRI data set collected on 43 healthy controls and 61 participants diagnosed with schizophrenia.
- Published
- 2020
4. A random covariance model for bi-level graphical modeling with application to resting-state fMRI data
- Author
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Zhang, Lin, DiLernia, Andrew, Quevedo, Karina, Camchong, Jazmin, Lim, Kelvin, and Pan1, Wei
- Subjects
Statistics - Methodology - Abstract
This paper considers a novel problem, bi-level graphical modeling, in which multiple individual graphical models can be considered as variants of a common group-level graphical model and inference of both the group- and individual-level graphical models are of interest. Such problem arises from many applications including multi-subject neuroimaging and genomics data analysis. We propose a novel and efficient statistical method, the random covariance model, to learn the group- and individual-level graphical models simultaneously. The proposed method can be nicely interpreted as a random covariance model that mimics the random effects model for mean structures in linear regression. It accounts for similarity between individual graphical models, identifies group-level connections that are shared by individuals in the group, and at the same time infers multiple individual-level networks. Compared to existing multiple graphical modeling methods that only focus on individual-level networks, our model learns the group-level structure underlying the multiple individual networks and enjoys computational efficiency that is particularly attractive for practical use. We further define a measure of degrees-of-freedom for the complexity of the model that can be used for model selection. We demonstrate the asymptotic properties of the method and show its finite sample performance through simulation studies. Finally, we apply the proposed method to our motivating clinical data, a multi-subject resting-state functional magnetic resonance imaging (fMRI) dataset collected from schizophrenia patients.
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- 2019
- Full Text
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5. The impact of child abuse on the neurobiology of self-processing in depressed adolescents
- Author
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Engstrom, Maggie, Liu, Guanmin, Santana-Gonzalez, Carmen, Teoh, Jia Yuan, Harms, Madeline, Koy, Kiry, and Quevedo, Karina
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- 2021
- Full Text
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6. Neurofeedback and neuroplasticity of visual self-processing in depressed and healthy adolescents: A preliminary study
- Author
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Quevedo, Karina, Liu, Guanmin, Teoh, Jia Yuan, Ghosh, Satrajit, Zeffiro, Thomas, Ahrweiler, Natasha, Zhang, Na, Wedan, Riley, Oh, Sewon, Guercio, Guerson, and Paret, Christian
- Published
- 2019
- Full Text
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7. Neurofeedback and Affect Regulation Circuitry in Depressed and Healthy Adolescents
- Author
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Nguyen, Giang H., primary, Oh, Sewon, additional, Schneider, Corey, additional, Teoh, Jia Y., additional, Engstrom, Maggie, additional, Santana-Gonzalez, Carmen, additional, Porter, David, additional, and Quevedo, Karina, additional
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- 2023
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8. Neural Activity Associated with Symptoms Change in Depressed Adolescents following Self-Processing Neurofeedback
- Author
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Ahrweiler, Natasha, primary, Santana-Gonzalez, Carmen, additional, Zhang, Na, additional, Quandt, Grace, additional, Ashtiani, Nikki, additional, Liu, Guanmin, additional, Engstrom, Maggie, additional, Schultz, Erika, additional, Liengswangwong, Ryan, additional, Teoh, Jia Yuan, additional, Kozachok, Katia, additional, and Quevedo, Karina, additional
- Published
- 2022
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9. Factores relacionados al proveedor de salud que influyen en la satisfacción de la atención prenatal de las usuarias del Hospital Carlos Lanfranco La Hoz, año 2016
- Author
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Diez Quevedo, Karina Elizabeth and Placencia Medina, Maritza Dorila
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purl.org/pe-repo/ocde/ford#3.03.01 [https] ,Atención prenatal ,Satisfacción del paciente ,Embarazadas - Atención médica - Abstract
Determina los factores relacionados al proveedor de salud que influyen en la satisfacción de la atención prenatal de las usuarias del Hospital Carlos Lanfranco La Hoz, año 2016. Utiliza una metodología observacional, analítica, transversal, constituida por 342 usuarias que acuden a su atención prenatal. El análisis para las variables cuantitativas fue la media y la distribución estándar, y para las variables cualitativas las frecuencias absolutas y relativas (%). El análisis multivariado se efectuó con regresión logística binaria. Encuentra que la satisfacción de la atención prenatal de las usuarias fue de un 81.9%. Los factores técnico - científicos relacionados al proveedor de salud que intervienen en la satisfacción de la atención prenatal de las usuarias fueron que el médico u obstetra brinde orientación sobre sus dolencias (p=0.029, r=2.65), que le explique sobre signos de alarma en consulta (p=0.006, r=3.45) y que resuelvan las dudas (p=0.003, r=3.61). Los factores humanos del proveedor que intervienen en la satisfacción de la atención prenatal fueron que el médico u obstetra se despida al terminar la consulta (p=0.000, r=5.52) y que tenga paciencia (p=0.011, r=2.92). Ningún factor entorno influyó en la satisfacción de la atención prenatal. Concluye que los factores relacionados al proveedor de salud que influyen en la satisfacción de la atención prenatal de las usuarias fueron que brinde orientación sobre sus dolencias, explicación sobre signos de alarma en consulta, resolución de sus dudas respecto al embarazo, despedirse al terminar la consulta y tener paciencia.
- Published
- 2021
10. Penalized model-based clustering of fMRI data.
- Author
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Dilernia, Andrew, Quevedo, Karina, Camchong, Jazmin, Lim, Kelvin, Pan, Wei, and Zhang, Lin
- Abstract
Functional magnetic resonance imaging (fMRI) data have become increasingly available and are useful for describing functional connectivity (FC), the relatedness of neuronal activity in regions of the brain. This FC of the brain provides insight into certain neurodegenerative diseases and psychiatric disorders, and thus is of clinical importance. To help inform physicians regarding patient diagnoses, unsupervised clustering of subjects based on FC is desired, allowing the data to inform us of groupings of patients based on shared features of connectivity. Since heterogeneity in FC is present even between patients within the same group, it is important to allow subject-level differences in connectivity, while still pooling information across patients within each group to describe group-level FC. To this end, we propose a random covariance clustering model (RCCM) to concurrently cluster subjects based on their FC networks, estimate the unique FC networks of each subject, and to infer shared network features. Although current methods exist for estimating FC or clustering subjects using fMRI data, our novel contribution is to cluster or group subjects based on similar FC of the brain while simultaneously providing group- and subject-level FC network estimates. The competitive performance of RCCM relative to other methods is demonstrated through simulations in various settings, achieving both improved clustering of subjects and estimation of FC networks. Utility of the proposed method is demonstrated with application to a resting-state fMRI data set collected on 43 healthy controls and 61 participants diagnosed with schizophrenia. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
11. Association between health care provider factors and the number of prenatal visits in Peruvian Hospital users
- Author
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Diez Quevedo, Karina Elizabeth and Placencia Medina, Maritza Dorila
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Gestantes ,Número de a tenciones prenatales ,Usuarias ,Factores del proveedor de salud - Abstract
Introducción:La atención de la salud materno infantil es una prioridad para los servicios de salud.Objetivo:Identificar la asociación entre los factores del proveedor de salud y el número de atenciones prenatales en las usuarias del Hospital Carlos Lanfranco La Hoz atendidas en el año 2019.Métodos.Estudio cuantitativo, relacional y observacional. Conformaron la muestra 342 usuarias gestantes atendidas de enero a diciembre del 2019, las cuales fueron seleccionadas mediante un muestreo probabilístico sistemático. Para el análisis estadístico se usó una estadística descriptiva mediante la distribución de frecuencias absolutas y relativas y una estadística inferencial mediante el uso de la regresión de Poisson.Resultados:Predominó la edad de 18 a 35 años (74%), el grado de instrucción secundaria (62,9%), el estado civil conviviente (71,1%) y el seguro integral de salud (92,7%). Los factores asociados al número de atenciones prenatales fueron el factor técnico científico-recibir orientación sobre los resultados de análisis en la atención prenatal” (p
- Published
- 2020
12. Penalized model-based clustering of fMRI data
- Author
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Dilernia, Andrew, primary, Quevedo, Karina, additional, Camchong, Jazmin, additional, Lim, Kelvin, additional, Pan, Wei, additional, and Zhang, Lin, additional
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- 2021
- Full Text
- View/download PDF
13. Association between health care provider factors and the number of prenatal visits in Peruvian Hospital users
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Diez Quevedo, Karina Elizabeth, primary and Placencia Medina, Maritza Dorila, additional
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- 2021
- Full Text
- View/download PDF
14. Amygdala Circuitry During Neurofeedback Training and Symptoms’ Change in Adolescents With Varying Depression
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Quevedo, Karina, primary, Yuan Teoh, Jia, additional, Engstrom, Maggie, additional, Wedan, Riley, additional, Santana-Gonzalez, Carmen, additional, Zewde, Betanya, additional, Porter, David, additional, and Cohen Kadosh, Kathrin, additional
- Published
- 2020
- Full Text
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15. Teacher's beliefs of proficient teachers and their impact on pedagogical practices
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Cortez Quevedo, Karina, Fuentes Quelin, Valeria, Villablanca Ortiz, Isabel, and Guzmán, Carolina
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profesores noveles ,práticas pedagógicas ,profesores ejemplares ,novel teachers ,professores eficientes ,prácticas pedagógicas ,proficient teachers ,pedagogical practice ,crenças docentes ,professores novatos ,teachers' beliefs ,creencias docentes - Abstract
The main purpose of this investigation was to analyze teachers' beliefs in the teaching practice's basis of 3 novel proficient teachers in San Antonio School located in Villa Alemana. Under a qualitative approach, the information was gathered through a set of 2 interviews done to each of the teachers and 8 passive observations in the classroom. From here it was possible to fully understand the processes that take place in the teaching-learning context. The obtained results allowed us to learn about the main beliefs that the novel proficient teachers had their similarities, and differences, as well as the identifiable agreement between their speech and their pedagogical practices.  , El principal propósito de esta investigación fue analizar las creencias docentes que están a la base de las prácticas pedagógicas de 3 profesores ejemplares noveles insertos en el Colegio San Antonio de la comuna de Villa Alemana. Inscrita en una aproximación cualitativa, la información fue recabada por medio de 2 entrevistas realizadas a cada uno de los docentes y 8 observaciones no participantes dentro del aula. A partir de los datos obtenidos, se pudo comprender de manera acabada los procesos que se llevan a cabo en el contexto de enseñanza-aprendizaje. Los resultados permitieron conocer las principales creencias presentes en los docentes, sus similitudes y diferencias, así como la presencia de concordancia entre sus discursos y sus prácticas pedagógicas.  , O principal objetivo desta investigação foi analisar as crencas docentes que estão na base das práticas pedagógicas de 3 novatos e eficientes professores do Colégio de San Antonio, na comunidade de Villa Alemana. Em uma abordagem qualitativa, as informações foram recolhidas por meio de 2 entrevistas feitas a cada um dos professores e de 8 observações ouvintes em sala de aula. A partir dos dados obtidos, pode-se compreender os mecanismos imbricados no contexto do processo ensino-aprendizagem. Resultados permitiram conhecer as principais crencas que têm os professores, suas semelhancas e diferenças, bem como a presenca de concordância entre seu discurso e suas práticas pedagógicas.  
- Published
- 2018
16. How do adolescents with and without depression differ in brain activity when neurofeedback is given during self-face processing?
- Author
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Oh, Sewon, primary, Teoh, Jia Yuan, additional, Smyda, Garry, additional, Barstad, Brianna, additional, Mohamed, Sumaya, additional, Washist, Shabad, additional, Ugurbil, Kamil, additional, Strupp, John, additional, Thomas, Kathleen, additional, Scott, Hannah, additional, and Quevedo, Karina, additional
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- 2019
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17. Feeling left out: depressed adolescents may atypically recruit emotional salience and regulation networks during social exclusion
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Jankowski, Kathryn F, primary, Batres, Jonathan, additional, Scott, Hannah, additional, Smyda, Garry, additional, Pfeifer, Jennifer H, additional, and Quevedo, Karina, additional
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- 2018
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18. Abnormal amygdala-prefrontal effective connectivity to happy faces differentiates bipolar from major depression
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de Almeida, Jorge R.C., Versace, Amelia, Mechelli, Andrea, Hassel, Stefanie, Quevedo, Karina, Kupfer, David J., and Phillips, Mary L.
- Abstract
Background - Bipolar disorder is frequently misdiagnosed as major depressive disorder, delaying appropriate treatment and worsening outcome for many bipolar individuals. Emotion dysregulation is a core feature of bipolar disorder. Measures of dysfunction in neural systems supporting emotion regulation might therefore help discriminate bipolar from major depressive disorder. Methods - Thirty-one depressed individuals—15 bipolar depressed (BD) and 16 major depressed (MDD), DSM-IV diagnostic criteria, ages 18–55 years, matched for age, age of illness onset, illness duration, and depression severity—and 16 age- and gender-matched healthy control subjects performed two event-related paradigms: labeling the emotional intensity of happy and sad faces, respectively. We employed dynamic causal modeling to examine significant among-group alterations in effective connectivity (EC) between right- and left-sided neural regions supporting emotion regulation: amygdala and orbitomedial prefrontal cortex (OMPFC). Results - During classification of happy faces, we found profound and asymmetrical differences in EC between the OMPFC and amygdala. Left-sided differences involved top-down connections and discriminated between depressed and control subjects. Furthermore, greater medication load was associated with an amelioration of this abnormal top-down EC. Conversely, on the right side the abnormality was in bottom-up EC that was specific to bipolar disorder. These effects replicated when we considered only female subjects. Conclusions - Abnormal, left-sided, top-down OMPFC–amygdala and right-sided, bottom-up, amygdala–OMPFC EC during happy labeling distinguish BD and MDD, suggesting different pathophysiological mechanisms associated with the two types of depression.
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- 2009
19. Predictores de náusea y vómitos postoperatorios, Hospitales Vicente Corral Moscoso, José Carrasco Arteaga, Cuenca 2010
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Barzallo Sacoto, Jorge Eduardo, Orellana Cabrera, Iván Eladio, Abad Quevedo, Karina Paola, Barzallo Sacoto, Jorge Eduardo, Orellana Cabrera, Iván Eladio, and Abad Quevedo, Karina Paola
- Published
- 2011
20. Right orbitofrontal corticolimbic and left corticocortical white matter connectivity differentiate bipolar and unipolar depression
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Versace, Amelia, Almeida, Jorge R.C., Quevedo, Karina, Thompson, Wesley K., Terwilliger, Robert A., Hassel, Stefanie, Kupfer, David J., Phillips, Mary L., Versace, Amelia, Almeida, Jorge R.C., Quevedo, Karina, Thompson, Wesley K., Terwilliger, Robert A., Hassel, Stefanie, Kupfer, David J., and Phillips, Mary L.
- Abstract
Objectives - The absence of pathophysiologically relevant diagnostic markers of bipolar disorder (BD) leads to its frequent misdiagnosis as unipolar depression (UD). We aimed to determine whether whole brain white matter connectivity differentiated BD from UD depression. Methods - We employed a three-way analysis of covariance, covarying for age, to examine whole brain fractional anisotropy (FA), and corresponding longitudinal and radial diffusivity, in currently depressed adults: 15 with BD-type I (mean age 36.3 years, SD 12.0 years), 16 with recurrent UD (mean age 32.3 years, SD 10.0 years), and 24 healthy control adults (HC) (mean age 29.5 years, SD 9.43 years). Depressed groups did not differ in depression severity, age of illness onset, and illness duration. Results - There was a main effect of group in left superior and inferior longitudinal fasciculi (SLF and ILF) (all F = 9.8; p = .05, corrected). Whole brain post hoc analyses (all t = 4.2; p = .05, corrected) revealed decreased FA in left SLF in BD, versus UD adults in inferior temporal cortex and, versus HC, in primary sensory cortex (associated with increased radial and decreased longitudinal diffusivity, respectively); and decreased FA in left ILF in UD adults versus HC. A main effect of group in right uncinate fasciculus (in orbitofrontal cortex) just failed to meet significance in all participants but was present in women. Post hoc analyses revealed decreased right uncinate fasciculus FA in all and in women, BD versus HC. Conclusions - White matter FA in left occipitotemporal and primary sensory regions supporting visuospatial and sensory processing differentiates BD from UD depression. Abnormally reduced FA in right fronto-temporal regions supporting mood regulation, might underlie predisposition to depression in BD. These measures might help differentiate pathophysiologic processes of BD versus UD depression.
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- 2010
21. Rastreo, detección seguimiento y evaluación de los tratamientos de cefaleas con y sin aura en un grupo de pacientes entre 14 y 19 años del colegio Juan Bautista Vásquez. Azogues 2001
- Author
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Guillén García, Jaime Augusto, Abad Quevedo, Karina Paola, Almache Lazo, María Cristina, Simbaña Amendano, Sonia Elena, Guillén García, Jaime Augusto, Abad Quevedo, Karina Paola, Almache Lazo, María Cristina, and Simbaña Amendano, Sonia Elena
- Abstract
In a five-month period we gather information from 100 students between 14 and 19 years of college males Juan Bautista Vasquez, who suffered from recurrent headaches and migraines were considered. 94 percent of patients do not ask for professional advice and treatment based on self-medication. However it was found that 68 percent of the sample had headaches with aura manifestations [blurred vision, irritability, photophobia, nausea, vomiting, etc.] and 32 percent without them headaches. Some desecadenantes of headaches and stress, stressful daily activities, emotional changes, environmental and food intake were more frequent in the group with aura. Adopted drug therapy is based on common painkillers. The medidamentosas partnerships with migraine compounds are used minimally. The three-month follow-up was detected that the average monthly recurrence was not more than 1.41 is not equal 0.62 attacks per month. 50 percent of the group with aura had repeat episodes and only 12.5 percent of the group without aura [p <0.05]
- Published
- 2001
22. Identificación de los factores que inciden en la baja productividad de la planta purificadora y envasadora de agua softwater. Propuesta implementación de indicadores de producción
- Author
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Calderón Paladines, Holger Bolivar and Marín Quevedo, Karina Paola, Mg.
- Subjects
FACTORES DE RIESGO ,INCIDENSIA DE PRODUCTIVIDAD ,PLANTA PURIFICADORA - Abstract
The present investigation aims the identification of the factors affecting the low productivity in the SOFTWATER plant and the implementation of indicators of production which promote the improvement of the productive efficiency, the study It starts with the analysis of information on the company, staff, working operations and production yields, in order to make a diagnosis of the real situation of the company dedicated to the processing and distribution of bottled water and at the same time mitigate the shortcomings of systems of monitoring, analysis and evaluation of the production process, thus achieving greater assertiveness in decision-making, through quantitative and qualitative approach, using such instruments as the survey, questionnaire and interview. With the result that the main factors affecting productivity are the working force Factor of which were decisive lack of training and staff absenteeism; the same Factor of processes by constant stoppages of production and the capacity Factor for the lack of control in the speed ratings of teams. Indicators are mated and adapted on the ground object of study, which were training, absenteeism, mechanical efficiency and use capacity installed, this allowed to improve efficiently the resources, decrease time loss and resources, as well as errors in production, reduce the excess or defect of inventory and the main thing allowed to increase production lines. El presente trabajo investigativo tiene por finalidad la identificación de los Factores que inciden en la baja productividad en la Planta SOFTWATER y la implementación de indicadores de producción que promuevan el mejoramiento de la eficiencia productiva, el estudio inicia con el análisis de información de la empresa, el personal, operaciones de trabajo y los rendimientos de producción, con el objeto de realizar un diagnóstico de la situación real de la empresa dedicada al procesamiento y distribución de agua embotellada y a su vez mitigar las deficiencias de sistemas de monitoreo, análisis y evaluación del proceso productivo, logrando así mayor asertividad en la toma de decisiones, a través del enfoque cuantitativo y cualitativo, usando como instrumentos la encuesta, cuestionario y entrevista. Obteniendo como resultado que los factores principales que inciden en la productividad son el Factor Fuerza de Trabajo de los cuales fueron determinantes la falta de capacitación y el absentismo del personal; así mismo el Factor de Procesos por los constantes paros de producción y el Factor de Capacidad por la falta de control en las velocidad nominales de equipos. Los indicadores se acoplaron y adecuaron en la planta objeto de estudio, los cuales fueron Adiestramiento, Absentismo, Eficiencia Mecánica, Uso Capacidad Instalada, con ello permitió mejorar de manera eficiente el manejo de los recursos, disminuir la pérdida de tiempo y recursos, así como los errores en la producción, reducir el exceso de producto no conforme y permitir aumentar la producción en líneas.
- Published
- 2017
23. Estudio de factibilidad de un modelo innovador de simbiosis industrial para un proyecto estratégico del sector minero, en la fase de beneficio del mineral en el distrito Zaruma-Portovelo
- Author
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Logroño Guarderas, Roberto Moisés and Marín Quevedo, Karina Paola, MSC.
- Subjects
PRODUCCIÓN ,GESTIÓN LABORAL ,FACTIBILIDAD ,ESTRATEGIAS - Abstract
The research project aims to determine a feasibility study of an innovative model of industrial symbiosis for a strategic project of mining sector, as benefit of the mineral in the district of Zaruma-Portovelo. To demonstrate the necessity of applying sustainable strategies for industrial ecology in the phase of benefit of the handmade mining developments in Portovelo - Zaruma, reducing the environmental impact. The absence of sustainability of the economic growth has reached environmental impacts caused by bad handling of dangerous industrial garbage in the mining sector. The application of sustainable strategies of industrial ecology in the phase of benefit of the handmade mining companies in Portovelo-Zaruma will allow reducing the environmental impact, taking into consideration that in this phase the mineral of interest is separated by metallurgical process, with different techniques; physical and chemical procedures. This study will develop with base in the proper concepts and categories of the industrial ecology, taking the Ecuadorian mining sector as an object of specific study, specially the region of Portovelo-Zaruma, where the main interest will be the benefit stage, indicating the importance that has for the same one the application of the special strategies, in order to determine the environmental impact of the mining activities, and to raise measurements faced to mitigate it. El proyecto de investigación tiene como objetivo determinar un estudio de factibilidad de un modelo innovador de simbiosis industrial para un proyecto estratégico del sector minero, en la fase de beneficio del mineral en el distrito Zaruma-Portovelo. La falta de sustentabilidad del crecimiento económico ha alcanzado impactos ambientales ocasionados por mal manejo de desechos industriales peligrosos en el sector minero. La aplicación de estrategias sostenibles de simbiosis industrial en la fase de beneficio de las empresas mineras artesanales en Portovelo-Zaruma, permitirá mejorar las prácticas productivas, tomando en cuenta que en esta fase se separa el mineral de interés por procesos metalúrgicos, con diferentes técnicas, procedimientos físicos y químicos. Este estudio se desarrolla con base en los conceptos y categorías propios de simbiosis industrial, tomando como objeto de estudio específico el sector minero ecuatoriano, específicamente la región de Portovelo-Zaruma, donde el interés principal será la etapa de beneficio, señalando la importancia que tiene para la misma la aplicación de las estrategias señaladas, a fin de determinar el impacto ambiental de las actividades mineras, y plantear medidas orientadas a mitigarlo.
- Published
- 2017
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