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A Taxonomy of Computational Models for Trust Computing in Decision-Making Procedures
No full textComputational trust models are soft-security mechanisms that foster positive behaviours in a community, where
users are inclined to be trustworthy to increase their chances of having a higher number of interactions. Even though
computational trust is becoming more and more important, the literature on computational trust models is still a jungle of
different formalisations, in which it is evident the lack of cohesion both from a linguistic and from a theoretical point-of-view.
The paper will focus on those two issues, with the aim of untangling the jungle of computational trust. A meta-analysis of
existing surveys on computational trust models will be provided, obtaining a novel taxonomy for those models; the taxonomy
will be used to identify some classical examples of computational trust models, through which singling out the core features
of a computational notion of trust. Through the whole process, emphasis will be put on theoretical aspects, abstracting away
from subtleties of specific applications. The aim of the paper is two-fold: to provide a guide for newcomers to the subject,
who will benefit from a linguistic clarification of the technical language of the subject, and to provide a solid starting point
for all who wish to pursue research on computation trust
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
Environmentally Friendly Lycopene Purification from Tomato Peel Waste: Enzymatic Assisted Aqueous Extraction.
No full textThe antioxidant and anticancer properties of lycopene make it an ideal component for daily food supplements.
For this reason this study investigated the possibility of extracting lycopene from tomato waste peels using a green chemistry protocol devoid of organic solvent. Cells are lysed thanks to a combination of pH changes and hydrolytic enzyme treatments.
The lycopene-containing chromoplasts are then precipitated by lowering the pH and isolated through a centrifugation step. At this stage the lycopene content of the isolated chromoplasts shows a 10-fold increase (3−5% w/w, dry basis) with respect to untreated tomato peels. A further improvement in lycopene concentration is obtained by a second enzymatic treatment using a protease cocktail. This catalytic step eliminates unwanted proteins, bound to the chromoplasts, but not essential for their stability.
The final product shows a lycopene content around 8−10% (w/w, dry basis), which represents a 30-fold increase with respect to the lycopene concentration of the untreated peels
ANALISI COMPARATE QUALI-QUANTITATIVE DI NETTARINE STARK REDGOLD IN COLTURA BIOLOGICA ED INTEGRATA
No full textMigliorare lo stato nutrizionale delle piante con la gestione del suolo
No full textNell’ambito di un progetto finanziato dalla Regione Emilia-Romagna e coordinato da Apofruit Italia, è stato valutato l’effetto di alcune pratiche agronomiche biologiche consolidate
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