130,676 research outputs found
Un modello di Francesco del Cossa da Ferrara a Bologna
Presentazione di un dipinto su tavola di scuola di Francesco del Cossa, attestante l'importazione a Bologna dei modelli elaborati dall'artista a Ferrara
MOESM14 of Comparative Subsequence Sets Analysis (CoSSA) is a robust approach to identify haplotype specific SNPs; mapping and pedigree analysis of a potato wart disease resistance gene Sen3
Additional file 14. Assessment of the depth cut-offs on the CoSSA results. Assessment of the effect of the lower and upper depth cut-off on the CoSSA output. (A) CoSSA output without the lower depth cut-off (R-bulk specific k-mers with a depth from 2 to 22 ×), (B) CoSSA output with the lower and upper cut-offs (R-bulk specific k-mers with a depth from 10 to 22 ×), (C) CoSSA output without the upper depth cut-off (R-bulk specific k-mers with a depth from 10 to ∞). Red: k-mers inherited from Kuba (resistance specific k-mers), blue: k-mers inherited from Ludmilla, green: k-mers inherited from both parents, grey: k-mers inherited from none of the parents. (D) Signal to noise ratio (SNR) for Sen3 and Ludmilla_chr9. Black: SNR for CoSSA results when no lower cut-off is applied (2 to 22 ×), stripped: SNR for CoSSA results when an upper and a lower cut-offs are applied (10 to 22 ×), grey: SNR for CoSSA results when no upper cut-off is applied (22 to ∞)
Landscape Stories. Racconti visuali sul paesaggio del quotidiano/Landscape Stories. Visual Storytelling on the Everyday Landscape
Narration is central in the knowledge building process about the landscape and its cultural value. The
enhancement of the everyday landscape, in particular, requires a shared interpretative process based
on intercultural and intergenerational dialogue. The essay refers to a field research experience involving primary and secondary school students in a process of discovery, interpretation and communication of the material and immaterial cultural heritage enclosed in the landscape of the urban suburbs.
The paper presents different forms of narrative used during the project, in particular visual storytelling
and new media narratives (traditional and digital route maps, mental maps, logbooks, videos, digital
storytelling, serious games). Through the project, young students experienced multiple ways to describe the landscape and the cultural heritage. In this way children and teenagers have approached
the disciplinary languages of architectural and landscape representation and discovered the different
heuristic and communicative potentialities of different methods and tools (analog and digital
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Drivers affecting seagrass meadows: An approach for conservation and restoration in Mozambique
Seagrasses and other shallow-water vegetation are important coastal habitat because they provide many ecosystem services, including food, shelter and nursery areas of shellfish and finfish as well as marine endangered species such as dugongs and sea turtles. However, following a worldwide trend, seagrass meadows in Mozambique are experiencing a reduction in area due to a combination of natural disturbances and anthropogenic impacts. The aim of this thesis was to assess two relevant drivers affecting seagrass ecosystem services, while contributing to developing innovative management tools for conservation, restoration and sustainable use of this ecosystem in Maputo Bay, Mozambique. The thesis focuses on the impacts from both global (ocean acidification, OA) and local (fishing) stressors on marine invertebrates and dugongs. The thesis also aims to develop innovative methods for shallow-water monitoring using drones and machine learning as well as developing appropriate seagrass restoration techniques.
Paper I evaluates the biological response (growth rate and net calcification) of a marine calcifier (sea urchin), to different levels of variability of pCO2/pH imposed in the absence or presence of seagrass in the context of OA as a global stressor. The results showed that larvae growth rates significantly decreased with decreasing average pH in both absence and presence of seagrass. Moreover, larvae raised in presence of seagrass, maximized calcification during the day, and lowering their calcification during the night. These results have implications to better understand the mechanisms behind the sensitivity of organisms to OA in variable coastal ecosystems.
Paper II shows the influence of gillnet fishing activities as a local stressor on dugong feeding grounds. A drone survey revealed overlap between dugong foraging areas and fishing grounds, increasing the risk of dugong entanglement when the gillnets are deployed at Inhaca Island, Mozambique. Thus, management initiatives to control gillnet fishing activity with involvement of the local community were highlighted to support future conservation efforts.
A survey on local ecological knowledge was used in paper III to assess community perceptions at Inhaca Island on both global and local stressors in seagrass meadows, while evaluating how fishing communities are adapting to face potential future changes of seagrass habitats and associated services. Results showed that the fishing community at Inhaca Island depends on fishing activities for their basic livelihood, and they perceived sedimentation associated with floods as the leading cause of seagrass changes, followed by destructive fishing practices. A decrease in coastal protection and loss of habitats (and associated invertebrates and fish) are perceived as the main threats to their livelihood and wellbeing.
Paper IV presents a field experiment to restore seagrass (Halodule uninervis), which is used as food by dugongs, with the aim to assess infauna biodiversity and colonization after planting. Two planting methods were tested, including a plug method and a single shoot method applied with two seagrass shoot densities. Results showed that the both methods influenced the transplants growth with consequences for the infauna abundance and composition.
The results of this thesis are discussed in an integrated approach to understand both global and local drivers of changes in seagrass meadows in Maputo Bay, Mozambique, while proposing an effective conservation and management strategies, which include the use of innovative technologies such as drones, involvement of local communities and restoration approaches to enhance the role of seagrass as an important coastal ecosystem
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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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