1,721,199 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
Macrobenthic communities along the rocky Cilento coast (southern Italy) characterized by different anthropogenic pressures
No full textCoastal rocky marine ecosystems are biodiversity hotspots threatened by anthropogenic pressure. Benthic communities inhabiting shallow coasts can act as bioindicators of environmental disturbances. Their ability to structure themselves under a long-term anthropogenic disturbance, such as in the case of anthropized coasts, allows them to provide information not only about past conditions but also about the
current state of the marine environment.
In order to evaluate the relationships between the macrobenthic community biodiversity and the anthropogenic pressure, macroalgae and the associated macroinvertebrates (> 0.5 mm) from the upper infralittoral zone of the rocky Cilento coast (southern Italy), were collected. Samplings were carried out in July and December 2023, in 6 sites differing in the anthropogenic pressure (from harbors to protected areas), by sampling squares of 30x30 cm (5 replicates per site). Whole macroalgae biomass was determined as dry weight (75 °C until constant weight).
Among macroinvertebrates, a total of 6386 individuals in July and 4153 individuals in December were collected, belonging to Mollusca, Polychaeta, Crustacea, Echinodermata, Sipuncula and Nemertea. Positive correlations between macroalgae biomass and total number of macroinvertebrates (r=0.56; p<0.01), and in particular of Crustacea (r=0.66; p<0.001) and Sipuncula (r=0.63; p=0.001), were found. The values of the Shannon index were 1.64±0.24 in July and 1.60±0.29 in December with an Evenness of 0.72±0.06 in July and 0.71±0.08 in December. These values did not differ neither between the two seasons, nor among sites, highlighting that macrozoobenthic community in the studied area is only marginally affected by seasonality and anthropogenic pressure
Cavitary Legionella pneumonia in a patient with immunodeficiency due to Hyper-IgE syndrome.
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Exercise induced “urticarial vasculatis as a paraneoplastic manifestation in a patient with cystic teratoma.
No full textGrowth and restoration of Posidonia oceanica meadows through ecological modeling
No full textPosidonia oceanica (L.) Delile forms one of the most important and threatened ecosystems of Mediterranean coastal waters, hosting diverse communities and shaping the seascape over large time scales. To counteract the widespread regressions of P. oceanica meadows, restoration programs are becoming common practice, but their successfulness and outcomes, in terms of meadow evolution over time, are hard to predict. In this context, ecological modeling can provide crucial support in evaluating the potential evolution of P. oceanica meadows according to environmental constraints but, to this end, the modeling of each plant within the meadow and its interactions with the surrounding environment should be attained.
With a view to provide a modeling tool for the evaluation of the effectiveness and outcomes of P. oceanica restoration plans, we are currently developing an environment-aware architectural individual based model of P. oceanica growth from single individual. The parameterization relies on a large synthesis of the existing knowledge on the ecology of P. oceanica which has been developed in the R programming language in order to ensure the seamless integration of model outcomes and their analysis. The goal is to provide a tool for the generation of realistic scenarios of meadow/seascape evolution, allowing optimizing restoration activities and meadow management
Algorithms for Enhancing Satellite Imagery to Discover Archaeological Finds Covered by Shadow
No full textVery high-resolution (VHR) images proved to be an invaluable source of information even in the archaeological domain, but sometimes shadows hinder their full exploitation. To overcome such limitation, this research proposes a workflow able to analyze shadowed zones, by processing Pléiades and World-View 2 images. The case study is the archaeological site of Maltai, in the Iraqi Kurdistan Region, which presents shadowed areas to be detected. Applying de-shadowing workflow has been tested over multispectral and panchromatic images, with different invariant color spaces. The proposed methods exploit the techniques of automatic thresholding and spectral ratio in the detection of shadow regions. This approach shows a clustering of shadow pixels for an enhanced images visualization and proves its suitability for archaeological settings
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