1,720,955 research outputs found
Application of the Delphi method in the identification of relevant variables for the development of low power photovoltaic solar projects in Colombia
Introducción: Este artículo es el producto de la investigación “Identificación de variables relevantes en el desarrollo de proyectos solares fotovoltaicos en Colombia” desarrollado en la Universidad Distrital Francisco José de Caldas (UDFJC) entre los años 2020 y 2021. Debido al incremento en el número de proyectos de energía fotovoltaica en Colombia, es necesario cuantificar el nivel de relevancia de los factores involucrados para optimizar los procesos de planificación y ejecución.
Métodos: En esta investigación se aplica la metodología Delphi para evaluar un conjunto de variables seleccionadas de la literatura, sometiéndolas a la evaluación de un grupo de expertos con el objetivo de cuantificar la relación, bajo un criterio subjetivo, entre dichas variables y parámetros inmersos en proyectos solares fotovoltaicos de baja potencia en Colombia. En conjunto con el método Delphi, se utilizó el Modelo de Torgerson para cuantificar cada una de las respuestas con el fin de determinar qué variables son las más relevantes para los expertos. Posteriormente, la validación de estas respuestas se realiza con la aplicación de una segunda etapa de evaluación mediante la aplicación de instrumentos estructurados.
Resultados: Luego de obtener el consenso general, se realiza análisis de resultados, identificando las variables que obtuvieron un mayor nivel de relevancia, se identificaron seis variables relevantes.
Conclusiones: Este trabajo muestra cómo los resultados del proceso de investigación alcanzan seis variables, que son las más relevantes y se analiza su impacto.
Originalidad: Aplicando el método Delphi es posible encontrar las variables más relevantes en el desarrollo de proyectos solares fotovoltaicos de baja potencia en Colombia, haciendo de este trabajo un elemento importante en el crecimiento de las energías renovables.
Limitación: No se logró una muestra masiva de respuestas debido a la dificultad para contactar con los profesionales adecuados en el área analizada.Introduction: This paper is the product of the investigation “Identification of relevant variables in the development of photovoltaic solar projects in Colombia” developed at the Universidad Distrital Francisco José de Caldas (UDFJC) between 2020 and 2021. Due to the increase in the number of photovoltaic energy projects in Colombia, it is necessary to quantify the level of relevance related with the factors involved in order to optimize the planning and execution’ processes.
Methods: In this research, the Delphi methodology is applied to evaluate a set of variables selected from literature, putting them to an evaluation by a group of experts with the purpose of quantifying the relationship, under a subjective judgment, between those variables and parameters immersed in low power photovoltaic solar projects in Colombia. Together with the Delphi method, the Torgerson Model was used to quantify what experts said in order to determine which variables are the most relevant ones to the experts. Subsequently, the validation of these answers is carried out with the application of a second evaluative stage throughout the application of structured instruments.
Results: After obtaining the general consensus, the results are analyzed with the ideal of identifying the variables that obtained a higher level of relevance, in which six relevant variables were identified.
Conclusions: This paper shows how the results of research processes get the most relevant variables, being 6 variables in total, and their impact is analyzed.
Originality: Applying the Delphi method it is possible to find the most relevant variables in the development of low power photovoltaic solar projects in Colombia, making this paper an important element in the advancement of renewable energies.
Limitation: A massive sample of results was not achieved due to the difficulty in contacting the appropriate professionals in the area analyzed
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Aplicación del método Delphi para la identificación de variables relevantes en el desarrollo de proyectos solares fotovoltaicos de baja potencia en Colombia
Introduction: This paper is the product of the investigation “Identification of relevant variables in the development of photovoltaic solar projects in Colombia” developed at the Universidad Distrital Francisco José de Caldas (UDFJC) between 2020 and 2021. Due to the increase in the number of photovoltaic energy projects in Colombia, it is necessary to quantify the level of relevance related with the factors involved in order to optimize the planning and execution processes.
Methods: In this research, the Delphi methodology is applied to evaluate a set of variables selected from literature, putting them to an evaluation by a group of experts with the purpose of quantifying the relationship, under a subjective judgment, between those variables and parameters immersed in low power photovoltaic solar projects in Colombia. Together with the Delphi method, the Torgerson Model was used to quantify what experts said, in order to determine which variables are the most relevant ones to the experts. Subsequently, the validation of these answers is carried out with the application of a second evaluative stage throughout the application of structured instruments.
Results: After obtaining the general consensus, the results are analyzed with the ideal of identifying the variables that obtained a higher level of relevance, in which six relevant variables were identified.
Conclusions: This paper shows how the results of research processes get the most relevant variables, being 6 variables in total, and their impact is analyzed.
Originality: Applying the Delphi method, it is possible to find the most relevant variables in the development of low power photovoltaic solar projects in Colombia, making this paper an important element in the advancement of renewable energies.
Limitation: A massive sample of results was not achieved due to the difficulty in contacting the appropriate professionals in the area analyzed.Introducción: Este artículo es el producto de la investigación “Identificación de variables relevantes en el desarrollo de proyectos solares fotovoltaicos en Colombia” desarrollado en la Universidad Distrital Francisco José de Caldas (UDFJC) entre los años 2020 y 2021. Debido al incremento en el número de proyectos de energía fotovoltaica en Colombia, es necesario cuantificar el nivel de relevancia de los factores involucrados para optimizar los procesos de planificación y ejecución.
Métodos: En esta investigación se aplica la metodología Delphi para evaluar un conjunto de variables seleccionadas de la literatura, sometiéndolas a la evaluación de un grupo de expertos con el objetivo de cuantificar la relación, bajo un criterio subjetivo, entre dichas variables y parámetros inmersos en proyectos solares fotovoltaicos de baja potencia en Colombia. En conjunto con el método Delphi, se utilizó el Modelo de Torgerson para cuantificar cada una de las respuestas con el fin de determinar qué variables son las más relevantes para los expertos. Posteriormente, la validación de estas respuestas se realiza con la aplicación de una segunda etapa de evaluación mediante la aplicación de instrumentos estructurados.
Resultados: Luego de obtener el consenso general, se realiza análisis de resultados, identificando las variables que obtuvieron un mayor nivel de relevancia, se identificaron seis variables relevantes.
Conclusiones: Este trabajo muestra cómo los resultados del proceso de investigación alcanzan seis variables, que son las más relevantes y se analiza su impacto.
Originalidad: Aplicando el método Delphi es posible encontrar las variables más relevantes en el desarrollo de proyectos solares fotovoltaicos de baja potencia en Colombia, haciendo de este trabajo un elemento importante en el crecimiento de las energías renovables.
Limitación: No se logró una muestra masiva de respuestas debido a la dificultad para contactar con los profesionales adecuados en el área analizada
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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