130,675 research outputs found
Abitare ai margini del deserto
Si presentano le fonti letterarie e della papirologia documentaria per lo studio dei deserti egiziani: il plus apportato dai papiri documentari per conoscere la vita quotidiana nei deserti e nelle Oasi dell'antico Egitt
A two-sector model of the effects of wage compression on unemployment and industry distribution of employment
Interregional income redistribution and convergence in a model with perfect capital mobility and unionized labor markets
Analysis of Historical Cartography and Data Presentation for an Educational Purpose: The case of the Historical Centre of Vimercate
Founded by Romans, Vimercate had an important geographical position in Lombardy. Layers of history are
visible throughout the town, yet there is the inconsistency of historical data and neglect of the historical cent re in the
past decades. Only recently researchers and professors from Politecnico di Mila no pointed out the importance of
studying layers of history in the built environment. In the past years, Vimercate was used as an example f or student s
from masters and bachelor courses in preservation studios. This is where the idea for the master’s thesis was developed
which focuses on the collection, digitalization and investigation of primary historical cartography and then other
historical documents. Historical cartography can offer extensive knowledge about the past of this town and it is one of
the main sources of information. For the creation of the project was selected free and open-source software QGIS where
the selected historical maps were vectorized, compared and investigated. A new understanding of the development of
the city was studied and some discoveries appeared. Effective application of the thesis project started in the courses of
Architectural preservation studio at Politecnico di Milano. This was followed by the interest of citizens in the project
who were actively participated in the creation of the same. Other stakeholders showed interest in involving in future
developments. The thesis found its application in didactic activities of students and pupils
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
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