Search results for " PRIN"
showing 10 items of 1809 documents
Notes about the naturalization in Sicily of Paulownia tomentosa (Paulowniaceae) and remarks about its global spread
2019
Paulownia tomentosa is native to different regions of East Asia. Here, the first case of natural regeneration in Sicily is reported. Although Paulownia is not still invading typically Mediterranean areas, mainly due to ecological constraints, its recognized invasiveness at a global level imposes the need to monitor the ongoing process.
Assessment of the Geochemical Potential in a Complex Tectonic Environment of South-East Sicily: New Insights From Hydrochemical Data
2019
We analyzed a large dataset (143 water sampling sites, 22 variables) of chemical parameters in local groundwaters from the south-east sector of Sicily, namely the Hyblean plateau, in order to set an original evaluation of its geothermal potential using applied geochemistry. The area was affected by volcanism until about 1.4 Ma. Today, though no active volcanism occurs, it is site of surface gas manifestations of focused degassing to which a mantle source has been attributed. We identified and thence selected the most promising sites (water springs and wells) based both on their main geochemical characteristics and on their calculated equilibrium temperature (resulting in the range between 5…
Leitbilder im Recht: Grenzen der Ordnung – Chancen der Unordnung
2018
„Guiding principles“ as topoi in German juridical discourse are mainly analyzed with regard to their relation to familiar dogmatic and methodological categories. This article suggests engaging with a deconstructing, psychoanalysis-inspired approach to the guiding principles of legal discourse.
Relazione introduttiva
2017
Relazione introduttiva al Convegno "Giurisprudenza per principi e autonomia privata"
Enhanced one-component spray polyurethane foams via sol-gel microspheres doped with aqueous glycerol
2013
The sol-gel microencapsulation of aqueous glycerol in silica-based microspheres affords functional materials that can be used to cure one-component polyurethane foams (OCF) formulations affording better and greener foam formation. These findings are important and may open the route to more sustainable materials, such as foams, coatings, adhesives, and sealants that are widely utilized in many industrial sectors. © 2013 American Chemical Society.
On the Relationship between Jetted Inks and Printed Biopatterns:Molecular-Thin Functional Microarrays of Glucose Oxidase
2009
Arrays of circular spots of glucose oxidase have been obtained on functionalized silicon oxide by piezoelectric inkjet printing and the enzymatic activity toward glucose recognition has been monitored. The addition of glycerol to the molecular ink allows to obtain high spot definition and resolution (tens of micrometers wide; one molecule tall), but in spite of its well-known structural stabilizing properties, in dynamic conditions it may lead to increased protein stresses. The jetting voltage and pulse length have been found to be critical factors for both activity retention and pattern definition. High voltages and pulse lengths results in stress effects along with the loss of activity, w…
Assessing Effects of eGovernment Initiatives Based on a Public Value Framework
2012
Published version of a chapter in the book: Electronic Government. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-33489-4_21 Assessing effects of eGovernment initiatives is considered an important but challenging endeavor. Assessments are, among other things, important to justify e-government investments. They are challenging because they are complex, often based on locally defined indicators, many times over-emphasizing financial effects, imprecise, faced with a number of contingencies and very seldom validated. Consequently, effect assessments can be seen as imprecise and difficult to compare across different initiatives. This paper addresses some of the challen…
Semisupervised nonlinear feature extraction for image classification
2012
Feature extraction is of paramount importance for an accurate classification of remote sensing images. Techniques based on data transformations are widely used in this context. However, linear feature extraction algorithms, such as the principal component analysis and partial least squares, can address this problem in a suboptimal way because the data relations are often nonlinear. Kernel methods may alleviate this problem only when the structure of the data manifold is properly captured. However, this is difficult to achieve when small-size training sets are available. In these cases, exploiting the information contained in unlabeled samples together with the available training data can si…
Micro(Nano)plastic analysis: a green and sustainable perspective
2022
Within the last years aspects such as green, eco-friendly and sustainable are making their way into analytical chemistry. The field has changed with the introduction of these concepts. Information on the consumption of toxic solvents and energy is now a part of everyday life. This green analytical chemistry could be playing a pioneering role in the analysis of micro(nano)plastics in the environment. We discuss the roles of green analytical and sustainability within micro(nano) plastics determination and its possible applications. We explain its many advantages, like their function to preserve the environment and operator health or their role in the so-called eco-friendly methodologies, but …
Robust Principal Component Analysis of Data with Missing Values
2015
Principal component analysis is one of the most popular machine learning and data mining techniques. Having its origins in statistics, principal component analysis is used in numerous applications. However, there seems to be not much systematic testing and assessment of principal component analysis for cases with erroneous and incomplete data. The purpose of this article is to propose multiple robust approaches for carrying out principal component analysis and, especially, to estimate the relative importances of the principal components to explain the data variability. Computational experiments are first focused on carefully designed simulated tests where the ground truth is known and can b…