131,284 research outputs found
Fra musica e pittura. La famiglia Goretti, Carlo Bononi e il Guercino
Il contributo valorizza uno spaccato musicale seicentesco fra Cento e Ferrara alla luce dei rapporti fra il musicologo Antonio Goretti e i pittori Carlo Bononi e Giovanni Francesco Barbieri detto il Guercino
Digitalization and Resilience Strategies in Italian Furniture Manufacturing Districts. Quarrata (Tuscany) Case Study
Furniture manufacturing in Italy is based on interconnected SMEs based on craftsmanship know-how. During the past decade, these companies presented significant transformations within the production chain integrating enabling technologies into high-quality craftsmanship. This change has been based on supports from European Commission and local institutions enhancing digitalization. The research focuses on furniture production clusters in Tuscany (Italy) and, in particular, on Quarrata district. Even if several international analysts report on a scarce diffusion of technological skills in Italian SMEs, Tuscany area includes significant case studies that present digital integrations to the supply chain, structuring resilience strategies. The paper presents a joint project Industry-Academia on Quarrata cluster, including researchers and students. The team analysed significant supply chains about the grade of digitalization among the companies of the same production network. Then, the study proposed specific reorganization guidelines through the introduction of digital systems both on production reorganization and new design directions
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.
A gibberellin methyltransferase modulates the timing of floral transition at the Arabidopsis shoot meristem
SoPPIs, Sequencing of Protein-Protein Interactions: a powerful solution to a remarkable problem
Digitalizing Circular Economy through Blockchains: The Blockchain Circular Economy Index
The integration of circular economy (CE) models into everyday contexts generates huge amount of data involved in goods tracking and tokenization procedures. The sector of blockchain platforms is extremely varied, and the choice of the proper technology is not easy. It is important that the selection is conducted consistently with respect to the CE models. With this study, we present a performance index named Blockchain Circular Economy Index (BCEI). BCEI, obtained through Multicriteria Decision Analysis and Analytic Hierarchy Process, aims to measure the suitability of blockchain platforms to the needs highlighted by a CE scenario. The present study is contextualized by comparing six blockchain platforms, for each of which, the related BCEI is calculated. The results of the analysis show that transaction fee and energy consumption are the two most critical parameters. In addition, the results show the lack of a leading blockchain technology in CE models. Thus, there is a market space that can be exploited given the growing interest in digital and sustainable issues
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