1,720,964 research outputs found
Spatial and temporal dynamics of trawl fishing activities in the Northern and Central Adriatic Sea (GSA 17) analysed by using automatic identification system (AIS) data
Full text linkThe primary aim of this PhD project was to improve the knowledge about the spatio-temporal dynamics of trawl fishing activities in the Northern and Central Adriatic Sea (GSA17). This area has been recognised as one of the most exploited within the Mediterranean basin and for this reason the assessment of the fishing effort results to be an important element for the implementation of new management strategies. The use of Automatic Identification System (AIS) data, available for vessels with a length overall (LOA) over 15 m, played a key role for the investigation of this topic. Indeed, this system, conceived for navigation security reasons, provides high spatio-temporal resolution information about the fishing vessel distribution and activities. Considering the characteristics of the Adriatic fishing segments, and since the trawl fishery is one of the most negatively impacting fishing techniques, the entire study was focused on the trawl fleet, and in particular on Small and Large Bottom Otter Trawl, Rapido Trawl (a sort of beam trawl) and Mid-Water Pair Trawl. The main aims of this project are:
1. the evaluation of the fishing effort, estimated by using an innovative method considering the fishing tracks of the vessels and the swept area, in order to identify the main fishing grounds and the seasonal behaviour of the different fishing techniques;
2. the catches assessment on a spatial basis, associated with fishing effort and economic value in order to better understand the fishermen behaviours and the efficiency of the selected fishing segments;
3. the estimation of the carbon dioxide (CO2) emissions, by using a bottom-up approach (AIS-based method), and the emissions associated with landing data in order to assess the impact produced to catches commercial species (kg CO2 per kg landing).
Overall, this research project supplied new insights in a context of sustainable fishery management, providing useful information for the monitoring and the assessment of the trawl fishing activities in the Adriatic Sea
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
Connecting catch profiles with efficiency: An application to the beam trawl fishery in the Northern Adriatic Sea
No full textEstimation of technical efficiency in fisheries is most commonly finalized at comparing the conversion from
inputs (e.g. time at sea, fuel consumption) to production (i.e. landed fish) among vessels or gears. In this paper
we adopt a novel approach focusing on the efficiency of fishing trips characterized by different catch composition
within the same fleet. In particular, the case study under analysis is represented by the beam trawl (“rapido”)
fishery of Chioggia (Adriatic Sea, GSA 17), which has been subject to increasing technical and effort limitations
in recent years due to its severe impacts on the marine ecosystem. The methodological strategy first involves a
cluster analysis of catch profiles to identify homogeneous groups of fishing trips, which are subsequently
compared in terms of economic performance based on the efficiency scores from stochastic frontier analysis. By
including also an estimation of Greenhouse Gas emissions per trip, the results from our study can be used to
inform future management interventions that aim at improving the overall efficiency of the fishery while
reducing its carbon footprint and the pressure on the most relevant target species
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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