1,721,052 research outputs found
Biblioteca de la Facultad de Agronomía y Veterinaria
No full textMaggio, S. Universidad de Buenos Aires. Facultad de Agronomía y Veterinaria. Buenos Aires, Argentina
Air quality and pollution in Apulia region: an analysis by a multilevel approach
No full textAir pollution represents a critical problem in urban areas and their sustainable development, since it causes
damage to human health and environment. The analysis of air pollution concentration has to consider that it can
significantly vary across time and space and is transported in the atmosphere.
The aim of this paper is to implement a multilevel multivariate model to explore the prominent spatio-temporal
factors which can influence air quality in Apulia region. For this purpose, the present study considers spatial
and temporal variations of air quality by using a free public dataset, collected by the ARPA (Regional Agency
for the Protection of the Environment) through an air quality monitoring network spread all over the Apulia
region. Such network consists of both traffic stations, usually installed in urban or suburban areas, and
background/industrial stations, located also in rural areas.
A thorough analysis of the diurnal and seasonal variation of some relevant air pollutants (such as particulate
matter, nitrogen dioxide and ground-level ozone) considered by the World Health Organization as the most
hazardous air pollutants, will be presented.
The empirical findings will demonstrate a significant relationship between air quality and the type of area
where the monitoring stations are located (traffic/city center, residential, rural and industrial) as well as the
contribution of meteorological variables (such as temperature and humidity)
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
Compulsive usage of Internet and mobile phone by teenagers: a new empirical evidence
No full textIn the recent years, the rapid increase in mobile phone and Internet usage,
has determined various benefits to their users, such as social relations and new ways
of communication (virtual interactions by email, chat or instant messaging). On the
other hand, an abuse of these technologies might cause adverse health effects (i.e.
social isolation and other forms of psychological disorders), especially on young
people, which is considered to be at high risk for pathological and addictive technologies
use.
In this paper, a case study on Internet and mobile phone habits among adolescents,
is discussed. In particular, a questionnaire has been submitted to a sample of students,
with ages ranging from 11 to 13 years old, attending some schools belonging
to the districts of Lecce and Brindisi (Apulia Region). A cluster analysis combined
with a binary logistic regression has been applied, in order to: a) outline the profile
of teenagers that overuse Internet and mobile phone, b) assess the relationships
among behaviours and attitudes of teenagers, with reference to the above-mentioned
technologies
A hybrid two-step approach for assessing the probabilit of training needs on artificial intelligence systems
No full textArtificial Intelligence (AI) represents the core of many technologies and in the last few years, it has become more and more crucial in helping and enhancing decision-making processes. A wide variety of research studies has been developed in AI, covering many different areas, from Health to Agriculture, from Industry to Information Technology. Nevertheless, only a few works have focused on the impact of applying AI on people’s confidence and their reflections on training needs. The novelty of this study concerns the introduction of a hybrid two-step approach based on machine learning and multilevel modeling to assess the effect of people’s awareness, attitude and trust in AI on the probability of training needs. In particular, the Boruta Random Forest algorithm will be applied to identify the key determinants of training needs in AI in eight European countries to be included in the multilevel logit model. Then, the probability of European citizens’ educational needs in AI will be computed and analyzed with respect to gender
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
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
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