1,720,957 research outputs found
PAHs urban concentrations maps using support vector machines
Air pollution health effects studies are based on data collected by
monitoring stations. Pollutant exposure maps greatly improve the evaluation of
health effects. The study of exposure to polycyclic aromatic hydrocarbons
(PAHs) in urban areas is one of the goals of the EXPAH LIFE+ Project. An
integrated approach has been applied to simulate PAHs levels in the urban area
of Rome. In particular, support vector machines (SVMs) were applied to
reconstruct PAHs urban concentrations. Starting from PAHs results provided
by a chemical transport model (CTM) FARM and observed data collected in
field campaigns of PM2.5 with PAHs content between June 2011 and May
2012, SVM methods were applied to build a model able to forecast PAHs
exposure. The SVM has shown excellent results in reproduction of
experimental data, improving those achieved by the FARM model. Finally, the
SVM has produced very congruent PAHs exposure maps
PAHs urban concentrations maps using support vector machine
The studies about health effects are often based on data inferred by monitoring stations. For this purpose, pollutants exposure maps are crucial for evaluating health effects. Studying the Polycyclic Aromatic Hydrocarbons (PAHs) and the Benzo(a)Pyrene (BaP) exposure in urban areas is the major goal of the EXPAH LIFE+ Project. An integrated approach, based on measurements and modeling techniques, was applied to simulate PAHs and BaP levels in the Rome metropolitan area. Field campaigns of PM2.5 with PAHs content were performed for the period June 2011 - May 2012, and a chemical transport model (FARM) was applied to reconstruct PAHs urban concentrations. In this work, Machine Learning methods have been applied to forecast atmospheric pollution, trying also to improve the results achieved by FARM. In particular, Support Vector Machines (SVMs) have been used. They represent one of the most common approaches among Machine Learning methods. Starting from the experimental data, SVM methods have been applied to build models able to forecast PAHs and BaP exposure. The SVM models seem to show excellent results in the reproduction of experimental data and in generalization, improving those achieved by FARM. Finally, the SVM models have produced very congruent PAHs and BaP exposure maps
NUMERICAL MODEL FOR CHELATING AGENTS ENHANCED SOIL FLUSHING
“In situ” remediation technologies, if applied without careful evaluation of the process parameters,
may themselves be a source of pollution. The soil flushing is a useful technology for in situ
remediation of a heavy metal contaminated soil and is particularly effective when the washing
solution is added with a chelating agent such as EDTA.
Excessive use of chelating agent may, however, be harmful to the environment for several
reasons: the chelating solution, if incompletely intercepted by extraction wells, can reach the water
table; an excessive concentration of chelator can damage soil structure and finally the metal
transported by the chelating solution can be reabsorbed into the deeper layers of the soil.
This paper presents the results of a soil flushing treatment with a EDTA solution carried out on
an experimental soil column that consists of a surface layer contaminated with lead and a not
contaminated deeper layer.
The purpose of the study is to determine whether a part of the metal contained into the superficial
contaminated soil can be transferred, by the chelating solution, in the uncontaminated soil;
furthermore the concentration of the chelating agent and the volume of the solution that minimizes
the risk for the soil are determined by 1D model that simulates the chelation process.
The experimental results confirm the possibility that a small amount of metal can be transferred
and absorbed into the not contaminated soil. Operationally this information can be used to define
the correct positioning of the extraction wells used in the soil flushing; at the same simulation
model can be used to determine the concentration and volume of chelating solution that optimize
the treatment
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
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
- …
