Examinando por Materia "mining"

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    El Zancudo Mining Company
    (Emerald Group Publishing Limited, 2016-01-01) LOPEZ, JUAN CARLOS; Velez, Juan; Universidad EAFIT. Departamento de Administración; Historia Empresarial
    This chapter is intended to present the onset, evolution, and decline of Compañía Minera El Zancudo, considered the largest Colombian company in the nineteenth century.
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    Mercury levels in birds and small rodents from Las Orquideas National Natural Park, Colombia
    (Springer Verlag, 2018-12-01) Sierra-Marquez L.; Peñuela-Gomez S.; Franco-Espinosa L.; Gomez-Ruiz D.; Diaz-Nieto J.; Sierra-Marquez J.; Olivero-Verbel J.; Universidad EAFIT. Departamento de Ciencias; Biodiversidad, Evolución y Conservación
    Mercury (Hg) is a heavy metal known as one of the most toxic elements on the planet. The importance of Hg on living organisms resides on its biomagnification ability. Artisanal gold extraction activities release substantial amounts of this metal, polluting the ecosystems. To assess the impact of gold mining in Las Orquideas National Natural Park (Colombia), total Hg (T-Hg) levels were evaluated from 37 bird and 8 small rodent species collected at two sites within the boundaries of the Natural Park (Abriaqui and Frontino municipalities) that have experienced some gold-extraction history. The mean concentration of T-Hg in bird feathers from both sites was 0.84 ± 0.05 µg/g fw. Differences between species were found according to diet. Total Hg levels were greater on insectivorous (1.00 ± 0.08 µg/g fw), followed by nectarivorous (0.73 ± 0.07 µg/g fw) and frugivorus (0.57 ± 0.09 µg/g fw) species. These Hg levels were greater than those found in feathers from a control sample belonging to the species Penelope perspicax (0.53 ± 0.03 µg/g fw), a frugivorous species living at the Otun Quimbaya Fauna and Flora Sanctuary, a forest without known gold mining. Mercury concentrations in the livers of small rodents were greater in specimens from Frontino (0.15 ± 0.01 µg/g fw) than those from Abriaqui (0.11 ± 0.01 µg/g fw), but levels were not different between species. These results indicate that Hg in birds depends mainly on their diet, but geographical location may affect Hg concentration in rodents. Moreover, Hg sources in natural parks of Colombia may not rely solely on gold mining, atmospheric deposition, among others factors, could be influencing its accumulation in biota. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
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    A methodology for Data Analytic Based on Organizational Characterization through a User-centered Design: A Position Paper
    (Institute of Electrical and Electronics Engineers Inc., 2020-01-01) Astudillo B.; Santorum M.; Aguilar J.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    Data Analytic (DA) is currently a very important approach to obtain the best possible benefit of the data, but its degree of difficulty compared to other computational processes limits its implementation in organizations. In addition, it remains a term highly confused with respect to other areas of data science, such as data mining, and Big Data. There are few methodologies for its implementation, in addition, its complexity makes it non-participatory, with a certain degree of resistance on the part of the users. The knowledge and skills of users must be exploited when analyzing and producing the business intelligence necessary for the Data Analytic execution. In this position paper, we explore the possibilities of contribution through a Methodology for Data Analytic, which is extended with the incorporation of features extracted from a user-centered design (UCD) approach inspired by the ISEA methodology. This existing DA methodology, called MIDANO, will be extended using gamification techniques, to facilitate the applicability and understanding, in order to guarantee a participation of organizational actors, resulting in a Participatory Data Analytic Methodology. © 2020 IEEE.
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    El Modelo Gerencial Antioqueño: Taylorismo de Carriel y Camándula
    (Universidad EAFIT, 01/06/2003) Juan Carlos López Díez; Universidad EAFIT
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    Towards an improved ASUM-DM process methodology for cross-disciplinary multi-organization big data & analytics projects
    (Springer Verlag, 2018-01-01) Angée, S.; Lozano-Argel, S.I.; Montoya-Munera, E.N.; Ospina-Arango, J.-D.; Tabares-Betancur, M.S.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    The development of big data & analytics projects with the participation of several corporate divisions and research groups within and among organizations is a non-trivial problem and requires well-defined roles and processes. Since there is no accepted standard for the implementation of big data & analytics projects, project managers have to either adapt an existing data mining process methodology or create a new one. This work presents a use case for a big data & analytics project for the banking sector. The authors found out that an adaptation of ASUM-DM, a refined CRISP-DM, with the addition of big data analysis, application prototyping, and prototype evaluation, plus a strong project management work with an emphasis in communications proved the best solution to develop a cross-disciplinary, multi-organization, geographically-distributed big data & analytics project. © 2018, Springer Nature Switzerland AG.