The topic of this paper is the expected (from modelling) and observed sensitivity of the brightness β of noctilucent clouds (NLC) on the ambient water vapour mixing ratio f (H 2 O). Firstly, we show that state-of-the-art models of NLC layer formation predict that in the Arctic summer, a 10% increase of f (H 2 O) in the upper mesosphere should 5 lead to a 22% increase in β. Secondly, we review o...

The rapid development of society is accompanied by significant changes in the environment. ESG still its nascent stages, and policies have yet to be perfected. In this study, we examined Citibank's 2019 annual report analyzed factors using Latent Dirichlet Allocation (LDA) method. We collected data through word clouds identified words with highest frequency analysis. Subsequently, determined op...

The complexity of large cloud offerings makes it extremely hard to guarantee their dependability and security. This paper extracts lessons from some years of research on the notion of using several clouds – instead of a single one– with the objective of achieving high dependability and security. We show that using such clouds-of-clouds it is possible for services to continue to operate correctl...

services communicating in the language of their community " , 2004–2006. Pedro Contreras and Dimitri Zervas contributed to this work. We thank the anonymous referees for valuable comments on an earlier version of this paper. Statement of exclusive submission: This paper (or a similar version) is not currently under review by a journal or conference, nor will it be submitted to such within the n...

Text data, such as customer satisfaction reports, personal micro-blogs, or emails, is being produced like never before; but tools for visualizing this growing data source are lacking. Typical text visualizations, like word clouds and word trees, tend to leave out relevant context, remove dimensionality of the underlying data, and restrict access to source text. In this paper, we present the Sen...

The combined use of data mining techniques and qualitative consumer reports can provide meaningful insights into service performance and relevant decision making. In several case studies, the authors combine qualitative comments from an online hotel feedback website about popular travel destinations, as reported by business, pleasure, and mixed-use travelers. After extracting 1,893 useable cust...

This work presents our attempt to understand the research topics that characterize the papers submitted to a conference, by using topic modeling and data visualization techniques. We infer the latent topics from the abstracts of all the papers submitted to Interspeech2014 by means of Latent Dirichlet Allocation. Pertopic word distributions thus obtained are visualized through word clouds. We al...

This paper proposes a formal model for discussing the construction of tag clouds, applicable both to human beings and computer programs. From this model we also to propose a methodology for automatic generation of tag clouds, which aim to achieve results similar to the ones produced by human beings. We also present a specific implementation and describe some of our initial results. 1. Introduct...

Contextually probable, high-frequency, or easily accessible words tend to be phonetically reduced, a pattern usually attributed to faster lexical access. In principle, word forms that are frequent in their inflectional paradigms should also enjoy faster lexical access, leading again to phonetic reduction. Yet research has found evidence of both reduction and enhancement on paradigmatically prob...

Various puzzles, quizzes, games, humorous definitions, or mathematical that should engage the interest of readers.