1,720,956 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Turbulence Anisotropy in the Atmospheric Surface Layer
No full textThe accurate representation of surface exchange in numerical simulations of the Atmospheric Boundary Layer (ABL) remains a challenge despite modern computational power. Earth System Models approximate surface exchange through parameterizations based on Monin-Obukhov Similarity Theory (MOST). However, MOST relies on idealized assumptions that often do not hold in reality, and it is well known to fail when these are not fulfilled. Nevertheless MOST remains the standard approach, even when proven inadequate.
Recent research has shown that the anisotropy of the Reynolds stress tensor, can extend the validity of the flux-variance relations of MOST to a wide range of realistic conditions, and a novel generalized MOST was developed. However, the applicability of this approach to the flux-profile relations is not guaranteed and direct implementation in numerical models of the new generalized MOST would require accurate prediction of turbulence anisotropy.
This thesis investigates the role of turbulence anisotropy in flux-profile relations for wind speed and temperature. The results show that incorporating anisotropy as a scaling parameter significantly improves these relations, particularly in the very unstable convective regime, where considering the anisotropy of turbulence allows to clarify previously ambiguous scaling behavior.
The thesis further explores typical turbulence anisotropy states in the near-surface ABL, emphasizing the key role of the vertical velocity variance in distinguishing isotropic from anisotropic turbulence. The two anisotropic states, 1-component and 2-component turbulence, have distinct cross-stream and vertical momentum fluxes, which influence the horizontal and vertical orientation of the Reynolds stress eigenvectors.
Finally, interpretable machine learning techniques are used to identify key drivers of anisotropy over flat and complex terrain. A newly derived non-dimensional parameter based on the vertical velocity variance consistently explains turbulence anisotropy, serving as a potential proxy. Additionally, a refined stability parameter that includes local stability and mixed layer scaling effects predicts anisotropy during daytime and a non-dimensional group regarding the applicability of Rapid Distortion Theory is a good predictor in nighttime conditions.Dissertation Universität Innsbruck 202
Variations on the Author
Full text link“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
Turbulence anisotropy in the atmospheric surface layer
No full textThe accurate representation of surface exchange in numerical simulations of the Atmospheric Boundary Layer (ABL) remains a challenge despite modern computational power. Earth System Models approximate surface exchange through parameterizations based on Monin-Obukhov Similarity Theory (MOST). However, MOST relies on idealized assumptions that often do not hold in reality, and it is well known to fail when these are not fulfilled. Nevertheless MOST remains the standard approach, even when proven inadequate.
Recent research has shown that the anisotropy of the Reynolds stress tensor, can extend the validity of the flux-variance relations of MOST to a wide range of realistic conditions, and a novel generalized MOST was developed. However, the applicability of this approach to the flux-profile relations is not guaranteed and direct implementation in numerical models of the new generalized MOST would require accurate prediction of turbulence anisotropy.
This thesis investigates the role of turbulence anisotropy in flux-profile relations for wind speed and temperature. The results show that incorporating anisotropy as a scaling parameter significantly improves these relations, particularly in the very unstable convective regime, where considering the anisotropy of turbulence allows to clarify previously ambiguous scaling behavior.
The thesis further explores typical turbulence anisotropy states in the near-surface ABL, emphasizing the key role of the vertical velocity variance in distinguishing isotropic from anisotropic turbulence. The two anisotropic states, 1-component and 2-component turbulence, have distinct cross-stream and vertical momentum fluxes, which influence the horizontal and vertical orientation of the Reynolds stress eigenvectors.
Finally, interpretable machine learning techniques are used to identify key drivers of anisotropy over flat and complex terrain. A newly derived non-dimensional parameter based on the vertical velocity variance consistently explains turbulence anisotropy, serving as a potential proxy. Additionally, a refined stability parameter that includes local stability and mixed layer scaling effects predicts anisotropy during daytime and a non-dimensional group regarding the applicability of Rapid Distortion Theory is a good predictor in nighttime conditions.by Samuele MossoKumulative Dissertation aus drei ArtikelnDissertation University of Innsbruck 202
Turbulence anisotropy in the atmospheric surface layer
No full textThe accurate representation of surface exchange in numerical simulations of the Atmospheric Boundary Layer (ABL) remains a challenge despite modern computational power. Earth System Models approximate surface exchange through parameterizations based on Monin-Obukhov Similarity Theory (MOST). However, MOST relies on idealized assumptions that often do not hold in reality, and it is well known to fail when these are not fulfilled. Nevertheless MOST remains the standard approach, even when proven inadequate.
Recent research has shown that the anisotropy of the Reynolds stress tensor, can extend the validity of the flux-variance relations of MOST to a wide range of realistic conditions, and a novel generalized MOST was developed. However, the applicability of this approach to the flux-profile relations is not guaranteed and direct implementation in numerical models of the new generalized MOST would require accurate prediction of turbulence anisotropy.
This thesis investigates the role of turbulence anisotropy in flux-profile relations for wind speed and temperature. The results show that incorporating anisotropy as a scaling parameter significantly improves these relations, particularly in the very unstable convective regime, where considering the anisotropy of turbulence allows to clarify previously ambiguous scaling behavior.
The thesis further explores typical turbulence anisotropy states in the near-surface ABL, emphasizing the key role of the vertical velocity variance in distinguishing isotropic from anisotropic turbulence. The two anisotropic states, 1-component and 2-component turbulence, have distinct cross-stream and vertical momentum fluxes, which influence the horizontal and vertical orientation of the Reynolds stress eigenvectors.
Finally, interpretable machine learning techniques are used to identify key drivers of anisotropy over flat and complex terrain. A newly derived non-dimensional parameter based on the vertical velocity variance consistently explains turbulence anisotropy, serving as a potential proxy. Additionally, a refined stability parameter that includes local stability and mixed layer scaling effects predicts anisotropy during daytime and a non-dimensional group regarding the applicability of Rapid Distortion Theory is a good predictor in nighttime conditions.by Samuele MossoKumulative Dissertation aus drei ArtikelnDissertation University of Innsbruck 202
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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
No full textWe 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
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