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Nannochloris eucaryotum growth: Kinetic analysis and use of 100% CO<sub>2</sub>
Concas, Alessandro,Lutzu, Giovanni Antonio,Locci, Antonio Mario,Cao, Giacomo Techno-Press 2013 Advances in environmental research Vol.2 No.1
Microalgae are receiving an increasing attention because of their potential use as $CO_2$ capture method and/or as feedstock for biofuels production. On the other hand the current microalgae-based technology is still not widespread since it is characterized by technical and economic constraints that hinder its full scale-up. In such contest the growth kinetics of Nannochloris eucaryotum (a relatively unknown marine strain) in batch and semi-batch photobioreactors is quantitatively investigated with the aim of obtaining the corresponding kinetic parameters suitable for process engineering and its optimization. In particular the maximum growth rate was evaluated to be 1.99 $10^{-3}\;h^{-1}$. Half saturation concentrations for nitrates ($K_N$) and phosphates uptake ($K_P$) were evaluated as 5.4 $10^{-4}\;g_N\;L^{-1}$ and 2.5 $10^{-5}\;g_P\;L^{-1}$, respectively. Yield factors for nitrogen ($Y_N$) and phosphorus ($Y_P$) resulted to be 5.9 $10^{-2}\;g_N\;g^{-1}$ biomass and 6.0 $10^{-3}\;g_P\;g^{-1}{_{biomass}}$, respectively. The possibility of using 100% (v/v) $CO_2$ gas as carbon source is also evaluated for the first time in the literature as far as N. eucaryotum is concerned. The strain showed a good adaptability to high concentrations of dissolved $CO_2$ as well as to low pH. The lipid content under 100% $CO_2$ is about 16.16 %wt $wt^{-1}$ and the fatty acid methyl esters composition of the extracted oil is in compliance with the European regulation for quality biodiesel.
A Platform based on Kanban to Build Taxonomies and Folksonomies for DMS and CSS
Alberto Buschettu,Daniele Sanna,Giulio Concas,Filippo Eros Pani 한국정보기술융합학회 2015 JoC Vol.6 No.1
Taxonomies and folksnomies are useful tools to make documents fully accessible within a document management system. The choice of taxonomies and folksonomies is an important aspect which is often discussed without methodologies and supporting tools. Main goal of the proposed work is to define an approach based on the agile methodology Lean Kanban which allows to choose taxonomies and folksonomies. For this purpose, it has been developed a new application to support the definition, validation and implementation of taxonomies and folksonomies, according to the principle of Kanban, and to store the knowledge base which derives from it. This application aims at being a useful tool to easily implement the proposed approach and to store the metadata identified in a Document Management System or in a Cloud Storage Service.
PCE : A Knowledge Base of Semantically Disambiguated Contents
Georgia Sanna,Antonello Angius,Giulio Concas,Dino Manca,Filippo Eros Pani 한국정보기술융합학회 2015 JoC Vol.6 No.2
With the Semantic Web people participate more actively in the building of information and take on an active role in enriching collaborative knowledge bases with user-generated contents. Moreover, new online resources have quickly gained impact on information management, such as the social bookmarking systems, which enable users to store, manage and share tagged Web content through folksonomies. These social tools allow users to associate free chosen keywords (tags) with Web content with the aim of providing an efficient navigation system through the heterogeneous amount of information available on the Web. However, the association of tags is totally arbitrary so that the use of synonyms, homonyms and new slang terms often hampers the Web information retrieval. Our project proposes the development of an innovative social bookmarking system based on a priori classification with semantic tags and structured categories extracted from online linguistic resources, which aims at disambiguating Web Content. According to this approach, each content will be described through two axes: a vertical one, concerning a hierarchical taxonomic classification and a horizontal one, dealing with a folksonomic classification. The final aim is to create a collaborative knowledge base of semantically disambiguated contents and to achieve more precise results in Web retrieval.
Daria Piacentino,Georgios D. Kotzalidis,Georgios Schoretsanitis,Michael Paulzen,Ekkehard Haen,Simone Cappelletti,Giancarlo Giupponi,Michael Grözinger,Andreas Conca 대한정신약물학회 2020 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.18 No.1
Objective: Therapeutic drug monitoring helps clinicians in choosing the right drug and adjust its dose in specific patients. To this end, we aimed to assess time patterns of risperidone and its metabolite, 9-hydroxyrisperidone, in children and adolescents with oppositional defiant and/or conduct disorder. Methods: We measured plasma concentrations of risperidone and 9-hydroxyrisperidone, their sum (active moiety, AM) and ratio, as well as plasma concentrations corrected for daily dose (C/D), from 140 children/adolescents with the above-mentioned disorders. We used Student’s t test to compare females versus males, patients under versus over 16-year-old, patients with lower versus higher than the median body weight, and patients with lower versus higher than the median body mass index (BMI). Two mixed-effects logistic regression models were fitted for risperidone/9- hydroxyrisperidone ratio and AM, respectively, by considering risperidone daily dose and patients’ demographic characteristics. Results: Females had higher 9-hydroxyrisperidone and AM plasma concentrations than males (p = 0.004 and p = 0.034). Younger patients had lower risperidone plasma concentration and risperidone/9-hydroxyrisperidone ratio (p = 0.02 and p = 0.021), but higher C/D 9-hydroxyrisperidone and AM than older patients (p = 0.013 and p = 0.043). Lower-weight patients had lower plasma risperidone and risperidone/9-hydroxyrisperidone ratio (p = 0.014 and p = 0.019), but higher C/D 9-hydroxyrisperidone concentration than heavier patients (p = 0.03). All these results could be accounted for by daily dose. Patients with lower and higher BMI did not differ significantly. Regression analyses showed that only risperidone daily dose predicted risperidone/9-hydroxyrisperidone ratio, whereas risperidone daily dose, sex, and age predicted AM. Conclusion: Clinicians prescribing risperidone need to consider sex, age, and weight, but not BMI when adjusting daily doses.